From 6c8658dcbfe930e10ca2be9d7fb585833ab2a7e0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 21 Jun 2016 12:41:59 +0200
Subject: [PATCH 001/899] implemented ExprNode so that we can filter using axis
 references (x.)

needs unit tests
---
 larray/core.py | 117 ++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 116 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 5ac07a602..532a9435b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2602,6 +2602,9 @@ def __getitem__(self, key, collapse_slices=False):
         # if isinstance(key, str) and key in ('__array_struct__',
         #                               '__array_interface__'):
         #     raise KeyError("bla")
+        if isinstance(key, ExprNode):
+            key = key.evaluate(self.axes)
+
         data = np.asarray(self.data)
         translated_key = self.translated_key(key)
 
@@ -2671,6 +2674,9 @@ def __setitem__(self, key, value, collapse_slices=True):
         # int LArray keys
         # the int value represent a position along ONE particular axis,
         # even if the key has more than one axis.
+        if isinstance(key, ExprNode):
+            key = key.evaluate(self.axes)
+
         data = np.asarray(self.data)
         translated_key = self.translated_key(key)
 
@@ -3695,6 +3701,10 @@ def _binop(opname):
 
         def opmethod(self, other):
             res_axes = self.axes
+
+            if isinstance(other, ExprNode):
+                other = other.evaluate(self.axes)
+
             if isinstance(other, LArray):
                 # TODO: first test if it is not already broadcastable
                 (self, other), res_axes = \
@@ -5723,7 +5733,74 @@ def stack(arrays, axis):
     return LArray(np.concatenate(data_arrays, axis=-1), axes + axis)
 
 
-class AxisReference(Axis):
+class ExprNode(object):
+    # method factory
+    def _binop(opname):
+        def opmethod(self, other):
+            return BinaryOp(opname, self, other)
+
+        opmethod.__name__ = '__%s__' % opname
+        return opmethod
+
+    __matmul__ = _binop('matmul')
+    __ror__ = _binop('ror')
+    __or__ = _binop('or')
+    __rxor__ = _binop('rxor')
+    __xor__ = _binop('xor')
+    __rand__ = _binop('rand')
+    __and__ = _binop('and')
+    __rrshift__ = _binop('rrshift')
+    __rshift__ = _binop('rshift')
+    __rlshift__ = _binop('rlshift')
+    __lshift__ = _binop('lshift')
+    __rpow__ = _binop('rpow')
+    __pow__ = _binop('pow')
+    __rdivmod__ = _binop('rdivmod')
+    __divmod__ = _binop('divmod')
+    __rmod__ = _binop('rmod')
+    __mod__ = _binop('mod')
+    __rfloordiv__ = _binop('rfloordiv')
+    __floordiv__ = _binop('floordiv')
+    __rtruediv__ = _binop('rtruediv')
+    __truediv__ = _binop('truediv')
+    if sys.version < '3':
+        __div__ = _binop('div')
+        __rdiv__ = _binop('rdiv')
+    __rmul__ = _binop('rmul')
+    __mul__ = _binop('mul')
+    __rsub__ = _binop('rsub')
+    __sub__ = _binop('sub')
+    __radd__ = _binop('radd')
+    __add__ = _binop('add')
+    __ge__ = _binop('ge')
+    __gt__ = _binop('gt')
+    __ne__ = _binop('ne')
+    __eq__ = _binop('eq')
+    __le__ = _binop('le')
+    __lt__ = _binop('lt')
+
+    def _unaryop(opname):
+        def opmethod(self):
+            return UnaryOp(opname, self)
+
+        opmethod.__name__ = '__%s__' % opname
+        return opmethod
+
+    # unary ops do not need broadcasting so do not need to be overridden
+    __neg__ = _unaryop('neg')
+    __pos__ = _unaryop('pos')
+    __abs__ = _unaryop('abs')
+    __invert__ = _unaryop('invert')
+
+    def evaluate(self, context):
+        raise NotImplementedError()
+
+
+def expr_eval(expr, context):
+    return expr.evaluate(context) if isinstance(expr, ExprNode) else expr
+
+
+class AxisReference(ExprNode, Axis):
     def __init__(self, name):
         self.name = name
         self._labels = None
@@ -5736,6 +5813,44 @@ def translate(self, key):
     def __repr__(self):
         return 'AxisReference(%r)' % self.name
 
+    def evaluate(self, context):
+        """
+        Parameters
+        ----------
+        context : AxisCollection
+            use axes from this collection
+        """
+        return context[self]
+
+    # needed because ExprNode.__hash__ (which is object.__hash__)
+    # takes precedence over Axis.__hash__
+    def __hash__(self):
+        return id(self)
+
+
+class BinaryOp(ExprNode):
+    def __init__(self, op, expr1, expr2):
+        self.op = op
+        self.expr1 = expr1
+        self.expr2 = expr2
+
+    def evaluate(self, context):
+        # TODO: implement eval via numexpr
+        expr1 = expr_eval(self.expr1, context)
+        expr2 = expr_eval(self.expr2, context)
+        return getattr(expr1, '__%s__' % self.op)(expr2)
+
+
+class UnaryOp(ExprNode):
+    def __init__(self, op, expr):
+        self.op = op
+        self.expr = expr
+
+    def evaluate(self, context):
+        # TODO: implement eval via numexpr
+        expr = expr_eval(self.expr, context)
+        return getattr(expr, '__%s__' % self.op)()
+
 
 class AxisReferenceFactory(object):
     def __getattr__(self, key):

From 3e4925ac32883f95ae94e5a6026bbdd043e4eb18 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 11:42:08 +0200
Subject: [PATCH 002/899] move imports around

---
 larray/core.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 532a9435b..4c5e467e7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -353,10 +353,6 @@
 import numpy as np
 import pandas as pd
 
-from larray.utils import (table2str, unique, csv_open, unzip, long,
-                          decode, basestring, izip, rproduct, ReprString,
-                          duplicates, array_lookup2, skip_comment_cells,
-                          strip_rows, PY3)
 try:
     import xlwings as xw
 except ImportError:
@@ -367,6 +363,11 @@
 except ImportError:
     np_nanprod = None
 
+from larray.utils import (table2str, unique, csv_open, unzip, long,
+                          decode, basestring, izip, rproduct, ReprString,
+                          duplicates, array_lookup2, skip_comment_cells,
+                          strip_rows, PY3)
+
 # TODO: return a generator, not a list
 def srange(*args):
     return list(map(str, range(*args)))

From e96b8b263d0251edba8e5a8c7cf8f06e83a541cc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 11:45:31 +0200
Subject: [PATCH 003/899] implemented LArray.rename({axis: new_name}) as well
 as using kwargs

---
 larray/core.py | 59 ++++++++++++++++++++++++++++++++++----------------
 1 file changed, 40 insertions(+), 19 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4c5e467e7..bd9f50b79 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2186,37 +2186,58 @@ def __bool__(self):
     # Python 2
     __nonzero__= __bool__
 
-    def rename(self, axis, newname):
-        """Renames an axis of the array.
+    def rename(self, renames=None, to=None, **kwargs):
+        """Renames some array axes.
 
         Parameters
         ----------
-        axis : int, str or Axis
-            axis.
-        newname : str
-            the new name for the axis.
+        renames : axis ref or dict {axis ref: str} or
+                  list of tuple (axis ref, str)
+            renames to apply. If a single axis reference is given, the "to"
+            argument must be used.
+        to : str or Axis
+            new name if renames contains a single axis reference
+        **kwargs : str
+            new name for each axis given as a keyword argument.
 
         Returns
         -------
         LArray
-            LArray with one of the axis renamed.
+            array with some axes renamed.
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> a = ones([xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> a = ndrange([nat, sex])
         >>> a
-        nat\\sex |   H |   F
-             BE | 1.0 | 1.0
-             FO | 1.0 | 1.0
-        >>> a.rename('nat', 'newnat')
-        newnat\\sex |   H |   F
-                BE | 1.0 | 1.0
-                FO | 1.0 | 1.0
+        nat\\sex | M | F
+             BE | 0 | 1
+             FO | 2 | 3
+        >>> a.rename(x.nat, 'nat2')
+        nat2\\sex | M | F
+              BE | 0 | 1
+              FO | 2 | 3
+        >>> a.rename(nat='nat2')
+        nat2\\sex | M | F
+              BE | 0 | 1
+              FO | 2 | 3
+        >>> a.rename({'nat': 'nat2'})
+        nat2\\sex | M | F
+              BE | 0 | 1
+              FO | 2 | 3
         """
-        axis = self.axes[axis]
-        axes = [axis.rename(newname) if a is axis else a
+        if isinstance(renames, dict):
+            items = list(renames.items())
+        elif isinstance(renames, list):
+            items = renames.copy()
+        elif isinstance(renames, (str, Axis, int)):
+            items = [(renames, to)]
+        else:
+            items = []
+        items += kwargs.items()
+        renames = {self.axes[k]: v for k, v in items}
+        axes = [a.rename(renames[a]) if a in renames else a
                 for a in self.axes]
         return LArray(self.data, axes)
 

From 6d339785c07a82aa629adaf8651e0c0fc059223b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 11:47:32 +0200
Subject: [PATCH 004/899] implemented __dir__ on AxisCollection

so that a.axes.<tab> shows axes names in addition to available methods
---
 larray/core.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index bd9f50b79..d1106abfe 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1209,6 +1209,16 @@ def __init__(self, axes=None):
         self._list = axes
         self._map = {axis.name: axis for axis in axes if axis.name is not None}
 
+    def __dir__(self):
+        # called by dir() and tab-completion at the interactive prompt,
+        # should return a list of all valid attributes, ie all normal
+        # attributes plus anything valid in getattr (string keys only).
+        # make sure we return unique results because dir() does not ensure that
+        # (ipython tab-completion does though).
+        # order does not matter though (dir() sorts the results)
+        names = set(axis.name for axis in self._list if axis.name is not None)
+        return list(set(dir(self.__class__)) | names)
+
     def __iter__(self):
         return iter(self._list)
 

From c4432c12f23af3019eb696670e6889d6c6e673cb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:01:52 +0200
Subject: [PATCH 005/899] fixed Axis.iscompatible

it returned False when both axes are wildcard and len(other) == 1
---
 larray/core.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index d1106abfe..471db4f04 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -815,11 +815,10 @@ def subaxis(self, key, name=None):
     def iscompatible(self, other):
         if not isinstance(other, Axis) or self.name != other.name:
             return False
-        # wildcard axes of length 1 match with anything
-        if self.iswildcard:
-            return len(self) == 1 or len(self) == len(other)
-        elif other.iswildcard:
-            return len(other) == 1 or len(self) == len(other)
+        if self.iswildcard or other.iswildcard:
+            # wildcard axes of length 1 match with anything
+            # wildcard axes of length > 1 match with equal len or len 1
+            return len(self) == 1 or len(other) == 1 or len(self) == len(other)
         else:
             return np.array_equal(self.labels, other.labels)
 

From 02984924ee955691f0e2f7150e192af867bf65cc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:08:14 +0200
Subject: [PATCH 006/899] a = Axis('a', 1); collection.get_all([a]) returns a

not sure why this was needed, but it did fix something :)
---
 larray/core.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 471db4f04..d8b4ea01e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1460,7 +1460,10 @@ def get_pos_default(k, i):
                 return self.get_by_pos(k, i)
             except (ValueError, KeyError):
                 # XXX: is having i as name really helps?
-                return Axis(k.name if k.name is not None else i, 1)
+                if len(k) == 1:
+                    return k
+                else:
+                    return Axis(k.name if k.name is not None else i, 1)
 
         return AxisCollection([get_pos_default(k, i)
                                for i, k in enumerate(key)])

From 55e3021c90e16b2957a3859048d8f20b6a3c7be4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:10:42 +0200
Subject: [PATCH 007/899] taking a subset of an array with wildcard axes now
 returns an array with wildcard axes

---
 larray/core.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index d8b4ea01e..6bc592d64 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -810,7 +810,9 @@ def subaxis(self, key, name=None):
             name = self.name
         if isinstance(key, LArray):
             return tuple(key.axes)
-        return Axis(name, self.labels[key])
+        # TODO: compute length for wildcard axes more efficiently
+        labels = len(self.labels[key]) if self.iswildcard else self.labels[key]
+        return Axis(name, labels)
 
     def iscompatible(self, other):
         if not isinstance(other, Axis) or self.name != other.name:

From 82484f106366fa073e4aa21979ba62b1b6a36a4e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:41:14 +0200
Subject: [PATCH 008/899] fix LArray.transpose in some case

positional for anynoumous axes?
---
 larray/core.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/core.py b/larray/core.py
index 6bc592d64..4b243ebe5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4180,6 +4180,7 @@ def transpose(self, *args):
         else:
             axes = args
 
+        axes = self.axes[axes]
         axes_indices = [self.axes.index(axis) for axis in axes]
         indices_present = set(axes_indices)
         missing_indices = [i for i in range(len(self.axes))

From 2588b08f0f0ecb6135da1758e9458dfacf41bee9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:43:17 +0200
Subject: [PATCH 009/899] fixed LArray.broadcast_with for anonymous axes

this fixes a[k] = v where broadcasting is involved
---
 larray/core.py          | 23 ++++++++++-------------
 larray/tests/test_la.py | 15 +++++++++++++++
 2 files changed, 25 insertions(+), 13 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4b243ebe5..fc8e4f730 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2862,22 +2862,17 @@ def broadcast_with(self, other):
             other_axes = other
             if not isinstance(other, AxisCollection):
                 other_axes = AxisCollection(other_axes)
-        # other_names = [a.name for a in other_axes]
+        target_axes = (self.axes - other_axes) | other_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']
         # but that use case should use drop_labels
-        # self.axes.check_compatible(other_axes)
-
-        # 1) append length-1 axes for other-only axes
-        # TODO: factorize with make_numpy_broadcastable
-        otheronly_axes = [Axis(axis.name, 1) if len(axis) != 1 else axis
-                          for axis in other_axes if axis not in self.axes]
-        array = self.reshape(self.axes + otheronly_axes)
-        # 2) reorder axes to target order (move source-only axes to the front)
-        sourceonly_axes = self.axes - other_axes
-        # axes_other_order = [array.axes[name] for name in other_names]
-        axes_other_order = array.axes[other_axes]
-        return array.transpose(sourceonly_axes + axes_other_order)
+        # self.axes.check_compatible(target_axes)
+
+        # 1) reorder axes to target order
+        array = self.transpose(target_axes & self.axes)
+
+        # 2) add length one axes
+        return array.reshape(array.axes.get_all(target_axes))
 
     def drop_labels(self, axes=None):
         """drop the labels from axes (replace those axes by "wildcard" axes)
@@ -4203,6 +4198,8 @@ def transpose(self, *args):
         # # since self.axes[0] does not exist in self.axes[1, 2], BUT has
         # # a position < len(self.axes[1, 2]), it tries to match
         # # against self.axes[1, 2][0], (ie self.axes[1]) which breaks
+        # # the problem is that AxisCollection.union should not try to match
+        # # by position in this case.
         # res_axes = (self.axes[axes] | self.axes) if axes else self.axes[::-1]
         # axes_indices = [self.axes.index(axis) for axis in res_axes]
         # res_data = np.asarray(self).transpose(axes_indices)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index ae75fd44d..b1d47349a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2528,6 +2528,21 @@ def test_rmatmul(self):
             self.assertIsInstance(res, LArray)
             assert_array_equal(res, ndrange((3, 3)) * 2)
 
+    def test_broadcast_with(self):
+        a1 = ndrange((3, 2))
+        a2 = ndrange(3)
+        b = a2.broadcast_with(a1)
+        self.assertEqual(b.ndim, a1.ndim)
+        self.assertEqual(b.shape, (3, 1))
+        assert_array_equal(b.i[:, 0], a2)
+
+        a1 = ndrange((1, 3))
+        a2 = ndrange((3, 1))
+        b = a2.broadcast_with(a1)
+        self.assertEqual(b.ndim, 2)
+        self.assertEqual(b.shape, (3, 1))
+        assert_array_equal(b, a2)
+
     def test_plot(self):
         pass
         #small_h = small['H']

From 2f45296c01e734fc7d3c63fd0227832a7dfe19d9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:44:26 +0200
Subject: [PATCH 010/899] reimplement make_numpy_broadcastable using
 LArray.broadcast_with

---
 larray/core.py | 13 +------------
 1 file changed, 1 insertion(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index fc8e4f730..d6f18a802 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5918,18 +5918,7 @@ def make_numpy_broadcastable(values):
     * length 1 wildcard axes will be added for axes not present in input
     """
     all_axes = AxisCollection.union(*[get_axes(v) for v in values])
-
-    # 1) reorder axes
-    def transpose(v):
-        # XXX: v.transpose(all_axes & v.axes) SHOULD work
-        return v.transpose(v.axes[all_axes & v.axes])
-    values = [transpose(v) if isinstance(v, LArray) else v
-              for v in values]
-
-    # 2) add length one axes
-    def reshape(v):
-        return v.reshape(v.axes.get_all(all_axes))
-    return [reshape(v) if isinstance(v, LArray) else v
+    return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v
             for v in values], all_axes
 
 

From ef9b81d478ca1184e621dab9d3a8772218ed187c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:46:18 +0200
Subject: [PATCH 011/899] fixed LArray.__array__ when dtype is not None

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index d6f18a802..ca4dafef3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4626,7 +4626,7 @@ def __len__(self):
         return len(self.data)
 
     def __array__(self, dtype=None):
-        return self.data
+        return np.asarray(self.data, dtype=dtype)
 
     __array_priority__ = 100
 

From 54e059aaa80887b4354b9e96817b3a6ef8f2fbe1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 14:46:57 +0200
Subject: [PATCH 012/899] transform doctest from test_broadcasting_no_name to
 unit test

the doctest confused nosetest which did not run any other tests from
test_la.TestLArray (which contains most of our tests)
---
 larray/tests/test_la.py | 64 ++++++++++++++++-------------------------
 1 file changed, 25 insertions(+), 39 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index b1d47349a..095e8b343 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2179,50 +2179,36 @@ def test_binary_ops_no_name_axes(self):
         assert_array_equal(raw2_ge_la, raw2 >= raw)
 
     def test_broadcasting_no_name(self):
-        """
-        >>> a = ndrange((2, 3))
-        >>> b = ndrange(3)
-        >>> c = ndrange(2)
-        >>> a
-        {0}*\\{1}* | 0 | 1 | 2
-                0 | 0 | 1 | 2
-                1 | 3 | 4 | 5
-        >>> b
-        {0}* | 0 | 1 | 2
-             | 0 | 1 | 2
-        >>> c
-        {0}* | 0 | 1
-             | 0 | 1
-
-        >>> # it is unfortunate that the behavior is different from numpy
-        >>> # (even though I find our behavior more intuitive)
-        >>> # a * b
-        ValueError: incompatible axes:
-        Axis(None, [0, 1, 2])
-        vs
-        Axis(None, [0, 1])
-
-        >>> a * c
-        {0}*\\{1}* | 0 | 1 | 2
-                0 | 0 | 0 | 0
-                1 | 3 | 4 | 5
-
-        >>> np.asarray(a) * np.asarray(b)
-        array([[ 0,  1,  4],
-               [ 0,  4, 10]])
-
-        >>> # np.asarray(a) * np.asarray(c)
-        ValueError: operands could not be broadcast together with shapes (2,3) (2,)
-        """
-
         a = ndrange((2, 3))
         b = ndrange(3)
         c = ndrange(2)
-        # axes objects are != and no common name => considered to be
-        # different axes
-        d = a * c
 
+        with self.assertRaises(ValueError):
+            # ValueError: incompatible axes:
+            # Axis(None, [0, 1, 2])
+            # vs
+            # Axis(None, [0, 1])
+            a * b
+
+        d = a * c
         self.assertEqual(d.shape, (2, 3))
+        # {0}*\{1}* | 0 | 1 | 2
+        #         0 | 0 | 0 | 0
+        #         1 | 3 | 4 | 5
+        self.assertTrue(np.array_equal(d, [[0, 0, 0],
+                                           [3, 4, 5]]))
+
+        # it is unfortunate that the behavior is different from numpy
+        # (even though I find our behavior more intuitive)
+        d = np.asarray(a) * np.asarray(b)
+        self.assertEqual(d.shape, (2, 3))
+        self.assertTrue(np.array_equal(d, [[0, 1,  4],
+                                           [0, 4, 10]]))
+
+        with self.assertRaises(ValueError):
+            # ValueError: operands could not be broadcast together with shapes
+            # (2,3) (2,)
+            np.asarray(a) * np.asarray(c)
 
     def test_unary_ops(self):
         raw = self.small_data

From c1007ac0817eadddb6c1f15cd60413a3626559b8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 15:04:34 +0200
Subject: [PATCH 013/899] update version number

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 764191cf1..65b7afc01 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.12
+  version: 0.13
 
 source:
-  git_tag: 0.12
+  git_tag: 0.13
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 3f8a5269b..48b9fbde2 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.12'
+version = '0.13'
 # The full version, including alpha/beta/rc tags.
-release = '0.12'
+release = '0.13'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index ca4dafef3..6c76d945d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.12"
+__version__ = "0.13"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index 8ea5eda38..b65ba281e 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.12'
+VERSION = '0.13'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 76e4a925e0663b308c3124856dcb558cad64346a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 15:39:25 +0200
Subject: [PATCH 014/899] XXX

---
 larray/core.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/core.py b/larray/core.py
index 6c76d945d..abab356af 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1017,6 +1017,7 @@ def copy(self):
         new_axis.__sorted_values = self.__sorted_values
         return new_axis
 
+    # XXX: rename to named like Group?
     def rename(self, name):
         """Renames the axis.
 

From 1463e260d42ab0bd97d14b3a8064d6219c2d9553 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Jul 2016 16:37:25 +0200
Subject: [PATCH 015/899] better read_csv doctest

---
 larray/core.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index abab356af..f2d3e5bf7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4958,21 +4958,21 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
 
     Example
     -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> mat = ndrange([xnat, xsex])
-    >>> mat.to_csv('test.csv')
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([nat, sex])
+    >>> a.to_csv('test.csv')
     >>> read_csv('test.csv')
-    nat\\sex | H | F
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
     >>> read_csv('test.csv', sort_columns=True)
-    nat\\sex | F | H
+    nat\\sex | F | M
          BE | 1 | 0
          FO | 3 | 2
-    >>> mat.to_csv('no_axis_name.csv', dialect='classic')
+    >>> a.to_csv('no_axis_name.csv', dialect='classic')
     >>> read_csv('no_axis_name.csv', nb_index=1)
-    nat\\{1} | H | F
+    nat\\{1} | M | F
          BE | 0 | 1
          FO | 2 | 3
     """

From 1086c35765b1f3e1158b333e32e4c074d656dd24 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 8 Jul 2016 16:23:29 +0200
Subject: [PATCH 016/899] remove default maxlines in LArray.as_table (no limit)

---
 larray/core.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f2d3e5bf7..92deb8f21 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2944,14 +2944,14 @@ def __str__(self):
         elif not len(self):
             return 'LArray([])'
         else:
-            return table2str(list(self.as_table()), 'nan', True,
-                             keepcols=self.ndim - 1)
+            return table2str(list(self.as_table(maxlines=200, edgeitems=5)),
+                             'nan', True, keepcols=self.ndim - 1)
     __repr__ = __str__
 
     def __iter__(self):
         return LArrayIterator(self)
 
-    def as_table(self, maxlines=200, edgeitems=5):
+    def as_table(self, maxlines=None, edgeitems=5):
         if not self.ndim:
             return
 
@@ -2976,7 +2976,7 @@ def as_table(self, maxlines=200, edgeitems=5):
         yield axes_names + list(self.axes.labels[-1])
 
         # summary if needed
-        if height > maxlines:
+        if maxlines is not None and height > maxlines:
             data = chain(data[:edgeitems], [["..."] * width], data[-edgeitems:])
             if height > maxlines:
                 startticks = islice(ticks, edgeitems)

From c29b8e68e3b99b591b5f1f8b96d06989c7fd7650 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 8 Jul 2016 16:35:54 +0200
Subject: [PATCH 017/899] implemented LArray.dump to dump an array as a 2D list

---
 larray/core.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 92deb8f21..0ff6bdf07 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2987,6 +2987,24 @@ def as_table(self, maxlines=None, edgeitems=5):
         for tick, dataline in izip(ticks, data):
             yield list(tick) + list(dataline)
 
+    def dump(self, header=True):
+        """dump array as a 2D nested list
+
+        Parameters
+        ----------
+        header : bool
+            whether or not to output axes names and labels
+
+        Returns
+        -------
+        list
+        """
+        if not header:
+            # flatten all dimensions except the last one
+            return self.data.reshape(-1, self.shape[-1]).tolist()
+        else:
+            return list(self.as_table())
+
     # XXX: should filter(geo=['W']) return a view by default? (collapse=True)
     # I think it would be dangerous to make it the default
     # behavior, because that would introduce a subtle difference between

From b8214a8655b866b148d1da89c0d14f74d3e22685 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 8 Jul 2016 16:42:39 +0200
Subject: [PATCH 018/899] mostly implemented new excel IO

---
 larray/__init__.py |   8 ++
 larray/excel.py    | 303 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 311 insertions(+)
 create mode 100644 larray/excel.py

diff --git a/larray/__init__.py b/larray/__init__.py
index 5b94b09ba..c1758781c 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -34,3 +34,11 @@ def edit(*args, **kwargs):
     def compare(*args, **kwargs):
         raise Exception('compare() is not available because Qt is not '
                         'installed')
+
+
+try:
+    from larray.excel import open_excel
+except ImportError:
+    def open_excel(*args, **kwargs):
+        raise Exception("open_excel() is not available because xlwings "
+                        "is not installed")
diff --git a/larray/excel.py b/larray/excel.py
new file mode 100644
index 000000000..e9bf6c1c3
--- /dev/null
+++ b/larray/excel.py
@@ -0,0 +1,303 @@
+import os
+
+import numpy as np
+import xlwings as xw
+from xlwings.conversion.pandas_conv import PandasDataFrameConverter
+
+from .core import LArray, df_aslarray, Axis
+from .utils import unique, basestring
+
+string_types = (str,)
+
+
+class LArrayConverter(PandasDataFrameConverter):
+    writes_types = LArray
+
+    @classmethod
+    def read_value(cls, value, options):
+        df = PandasDataFrameConverter.read_value(value, options)
+        return df_aslarray(df)
+
+    @classmethod
+    def write_value(cls, value, options):
+        df = value.to_frame(fold_last_axis_name=True)
+        return PandasDataFrameConverter.write_value(df, options)
+
+
+LArrayConverter.register(LArray)
+
+
+class Workbook(object):
+    def __init__(self, *args, **kwargs):
+        xw_wkb = kwargs.pop('xw_wkb', None)
+        if xw_wkb is None:
+            xw_wkb = xw.Workbook(*args, **kwargs)
+        self.xw_wkb = xw_wkb
+
+    @classmethod
+    def active(cls):
+        return Workbook(xw_wkb=xw.Workbook.active())
+
+    def _concrete_key(self, key):
+        if isinstance(key, int):
+            if key < 0:
+                key += len(self)
+            key += 1
+        return key
+
+    def __getitem__(self, key):
+        key = self._concrete_key(key)
+        return Sheet(self, key)
+
+    def __contains__(self, key):
+        if isinstance(key, int):
+            length = len(self)
+            return -length <= key < length
+        else:
+            return key in self.sheet_names()
+
+    def __setitem__(self, key, value):
+        if key in self:
+            key = self._concrete_key(key)
+            sheet = Sheet(self, key)
+            sheet.clear()
+        else:
+            xw_sheet = xw.Sheet.add(name=key, wkb=self.xw_wkb)
+            sheet = Sheet(None, None, xw_sheet=xw_sheet)
+        sheet["A1"] = value
+
+    def sheet_names(self):
+        return [s.name for s in self]
+
+    def __iter__(self):
+        xw_sheets = xw.Sheet.all(self.xw_wkb)
+        return iter([Sheet(None, None, xw_sheet) for xw_sheet in xw_sheets])
+
+    def __len__(self):
+        return len(xw.Sheet.all(self.xw_wkb))
+
+    def __getattr__(self, key):
+        return getattr(self.xw_wkb, key)
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, type, value, traceback):
+        self.close()
+
+
+def _concrete_key(key, shape):
+    if not isinstance(key, tuple):
+        key = (key,)
+
+    if len(key) < len(shape):
+        key = key + (slice(None),) * (len(shape) - len(key))
+
+    return [slice(*k.indices(length)) if isinstance(k, slice) else k
+            for k, length in zip(key, shape)]
+
+
+class Sheet(object):
+    def __init__(self, workbook, key, xw_sheet=None):
+        if xw_sheet is None:
+            xw_sheet = xw.Sheet(key, wkb=workbook.xw_wkb)
+        self.xw_sheet = xw_sheet
+
+    def __getitem__(self, key):
+        if isinstance(key, string_types):
+            return Range(self, key)
+
+        row, col = _concrete_key(key, self.shape)
+        if isinstance(row, slice) or isinstance(col, slice):
+            row1, row2 = (row.start, row.stop) \
+                if isinstance(row, slice) else (row, row + 1)
+            col1, col2 = (col.start, col.stop) \
+                if isinstance(col, slice) else (col, col + 1)
+            return Range(self, (row1 + 1, col1 + 1), (row2, col2))
+        else:
+            return Range(self, (row + 1, col + 1))
+
+    def __setitem__(self, key, value):
+        if isinstance(value, LArray):
+            value = value.dump(header=False)
+        self[key].xw_range.value = value
+
+    @property
+    def shape(self):
+        # include top-left empty rows/columns
+        used = self.xw_sheet.xl_sheet.UsedRange
+        return (used.Row + used.Rows.Count - 1,
+                used.Column + used.Columns.Count - 1)
+
+    @property
+    def ndim(self):
+        return 2
+
+    def __array__(self, dtype=None):
+        return np.array(self[:].value, dtype=dtype)
+
+    def __getattr__(self, key):
+        return getattr(self.xw_sheet, key)
+
+    def load(self, header=True):
+        return self[:].load(header=header)
+
+    # TODO: generalize to more than 2 dimensions or scrap it
+    def array(self, data, row_labels=None, column_labels=None, names=None):
+        """
+
+        Parameters
+        ----------
+        data : str
+            range for data
+        row_labels : str, optional
+            range for row labels
+        column_labels : str, optional
+            range for column labels
+        names : list of str, optional
+
+        Returns
+        -------
+        LArray
+        """
+        if row_labels is not None:
+            row_labels = np.array(self[row_labels].value)
+        if column_labels is not None:
+            column_labels = np.array(self[column_labels].value)
+        if names is not None:
+            labels = (row_labels, column_labels)
+            axes = [Axis(name, axis_labels)
+                    for name, axis_labels in zip(names, labels)]
+        else:
+            axes = (row_labels, column_labels)
+        return LArray(self[data], axes)
+
+
+class Range(object):
+    def __init__(self, sheet, *args):
+        xw_range = xw.Range(sheet.xw_sheet, *args)
+
+        object.__setattr__(self, 'sheet', sheet)
+        object.__setattr__(self, 'xw_range', xw_range)
+
+    def _range_key_to_sheet_key(self, key):
+        # string keys does not make sense in this case
+        assert not isinstance(key, string_types)
+        row_offset, col_offset = self.xw_range.row1 - 1, self.xw_range.col1 - 1
+        row, col = _concrete_key(key, self.xw_range.shape)
+        row = slice(row.start + row_offset, row.stop + row_offset) \
+            if isinstance(row, slice) else row + row_offset
+        col = slice(col.start + col_offset, col.stop + col_offset) \
+            if isinstance(col, slice) else col + col_offset
+        return row, col
+
+    def __getitem__(self, key):
+        return self.sheet[self._range_key_to_sheet_key(key)]
+
+    def __setitem__(self, key, value):
+        self.sheet[self._range_key_to_sheet_key(key)] = value
+
+    def __array__(self, dtype=None):
+        return np.array(self.xw_range.value, dtype=dtype)
+
+    def __larray__(self):
+        return LArray(np.array(self.xw_range.value))
+
+    def __getattr__(self, key):
+        if hasattr(LArray, key):
+            return getattr(self.__larray__(), key)
+        else:
+            return getattr(self.xw_range, key)
+
+    # TODO: implement all binops
+    # def __mul__(self, other):
+    #     return self.__larray__() * other
+
+    def __str__(self):
+        return str(self.__larray__())
+
+    def __setattr__(self, key, value):
+        return setattr(self.xw_range, key, value)
+
+    def load(self, header=True, convert_float=True):
+        list_data = self.xw_range.value
+        if convert_float:
+            # Excel 'numbers' are always floats
+            def convert(value):
+                if isinstance(value, float):
+                    int_val = int(value)
+                    if int_val == value:
+                        return int_val
+                return value
+
+            list_data = [[convert(v) for v in line] for line in list_data]
+
+        if header:
+            # TODO: try getting values via self[1:] instead of via the
+            # list so that we do not produce copies of data. Not sure which
+            # would be faster
+            header_line = list_data[0]
+            # TODO: factor this with read_csv
+            try:
+                # take the first cell which contains '\'
+                pos_last = next(i for i, v in enumerate(header_line)
+                                if isinstance(v, basestring) and '\\' in v)
+            except StopIteration:
+                # if there isn't any, assume 1d array, unless "liam2 dialect"
+                pos_last = 0
+            axes_names = header_line[:pos_last + 1]
+            # TODO: factor this with df_aslarray
+            if isinstance(axes_names[-1], basestring) and \
+                    '\\' in axes_names[-1]:
+                last_axes = [name.strip()
+                             for name in axes_names[-1].split('\\')]
+                axes_names = axes_names[:-1] + last_axes
+
+            nb_index = len(axes_names) - 1
+            index_col = list(range(nb_index))
+
+            if nb_index == 0:
+                nb_index = 1
+            data = np.array([line[nb_index:] for line in list_data[1:]])
+            axes_labels = [list(unique([line[i] for line in list_data[1:]]))
+                           for i in index_col]
+            axes_labels.append(header_line[nb_index:])
+            # TODO: detect anonymous axes
+            axes = [Axis(name, labels)
+                    for name, labels in zip(axes_names, axes_labels)]
+            data = data.reshape([len(axis) for axis in axes])
+            return LArray(data, axes)
+        else:
+            return LArray(list_data)
+
+
+def open_excel(filepath=None):
+    if filepath == -1:
+        return Workbook.active()
+    elif filepath is None:
+        # creates a new/blank Workbook
+        return Workbook(app_visible=True)
+    else:
+        basename, ext = os.path.splitext(filepath)
+        if ext:
+            # XXX: we might want to be more precise than .xl* because
+            #      I am unsure writing anything else than .xlsx will
+            #      work as intended
+            if not ext.startswith('.xl'):
+                raise ValueError("'%s' is not a supported file "
+                                 "extension" % ext)
+
+            # This is necessary because otherwise we cannot open/save to
+            # a workbook in the current directory without giving the
+            # full/absolute path. By doing this, we basically loose the
+            # ability to target an already open workbook *of a saved
+            # file* not in the current directory without using its
+            # path. I can live with that restriction though because you
+            # usually either work with relative paths or with the
+            # currently active workbook.
+            filepath = os.path.abspath(filepath)
+            # save = True
+            # close = not xw.xlplatform.is_file_open(filepath)
+            # if os.path.isfile(filepath) and overwrite_file:
+            #     os.remove(filepath)
+        return Workbook(filepath, app_visible=None)

From 481399683e33e0d070f9a032dbac0255e78d93a9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Jul 2016 14:21:40 +0200
Subject: [PATCH 019/899] made larray.excel importable even when xlwings is
 missing

it is not functional obviously, but this fixes automated tests
---
 larray/excel.py | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index e9bf6c1c3..3c76186ff 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -1,8 +1,12 @@
 import os
 
 import numpy as np
-import xlwings as xw
-from xlwings.conversion.pandas_conv import PandasDataFrameConverter
+try:
+    import xlwings as xw
+    from xlwings.conversion.pandas_conv import PandasDataFrameConverter
+except ImportError:
+    xw = None
+    PandasDataFrameConverter = object
 
 from .core import LArray, df_aslarray, Axis
 from .utils import unique, basestring
@@ -23,8 +27,8 @@ def write_value(cls, value, options):
         df = value.to_frame(fold_last_axis_name=True)
         return PandasDataFrameConverter.write_value(df, options)
 
-
-LArrayConverter.register(LArray)
+if xw is not None:
+    LArrayConverter.register(LArray)
 
 
 class Workbook(object):

From 29860f813526b3772b690b76fe57266948d52048 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Jul 2016 14:22:11 +0200
Subject: [PATCH 020/899] cleanup

---
 larray/excel.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 3c76186ff..2c26412ba 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -213,6 +213,9 @@ def __getattr__(self, key):
         else:
             return getattr(self.xw_range, key)
 
+    def __setattr__(self, key, value):
+        return setattr(self.xw_range, key, value)
+
     # TODO: implement all binops
     # def __mul__(self, other):
     #     return self.__larray__() * other
@@ -220,9 +223,6 @@ def __getattr__(self, key):
     def __str__(self):
         return str(self.__larray__())
 
-    def __setattr__(self, key, value):
-        return setattr(self.xw_range, key, value)
-
     def load(self, header=True, convert_float=True):
         list_data = self.xw_range.value
         if convert_float:

From 0264170e5d6c0336bcdb49f823775c568acc13af Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Jul 2016 14:22:29 +0200
Subject: [PATCH 021/899] added TODO

---
 larray/excel.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 2c26412ba..22d680548 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -80,6 +80,7 @@ def __iter__(self):
     def __len__(self):
         return len(xw.Sheet.all(self.xw_wkb))
 
+    # TODO: implement __dir__ so that tab-completion works
     def __getattr__(self, key):
         return getattr(self.xw_wkb, key)
 
@@ -140,6 +141,7 @@ def ndim(self):
     def __array__(self, dtype=None):
         return np.array(self[:].value, dtype=dtype)
 
+    # TODO: implement __dir__ so that tab-completion works
     def __getattr__(self, key):
         return getattr(self.xw_sheet, key)
 
@@ -207,6 +209,7 @@ def __array__(self, dtype=None):
     def __larray__(self):
         return LArray(np.array(self.xw_range.value))
 
+    # TODO: implement __dir__ so that tab-completion works
     def __getattr__(self, key):
         if hasattr(LArray, key):
             return getattr(self.__larray__(), key)

From f3effb6cb31adf00155ffdfe60169c151c8d5800 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Jul 2016 14:22:57 +0200
Subject: [PATCH 022/899] added FIXME

---
 larray/viewer.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index 89e75356f..145d2c84c 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1375,9 +1375,11 @@ def change_filter(self, axis, indices):
         cur_filter = self.current_filter
         # if index == 0:
         if not indices or len(indices) == len(axis.labels):
+            # FIXME: anonymous...
             if axis.name in cur_filter:
                 del cur_filter[axis.name]
         else:
+            # FIXME: anonymous...
             if len(indices) == 1:
                 cur_filter[axis.name] = axis.labels[indices[0]]
             else:
@@ -1416,6 +1418,7 @@ def map_global_to_filtered(self, k, filtered):
         """
         assert isinstance(k, tuple) and len(k) == self.la_data.ndim
 
+        # FIXME: not anonymous-friendly (use axis instead of axis.name)
         dkey = {axis.name: axis_key
                 for axis_key, axis in zip(k, self.la_data.axes)}
 
@@ -1448,6 +1451,7 @@ def map_filtered_to_global(self, k):
         assert isinstance(k, tuple) and len(k) == 2
 
         # transform local index key to local label key
+        # XXX: why can't we store the filter as index?
         model = self.model
         ki, kj = k
         xlabels = model.xlabels
@@ -1458,6 +1462,7 @@ def map_filtered_to_global(self, k):
 
         # compute dictionary key out of it
         data = self.filtered_data
+        # FIXME: anonymous...
         axes_names = data.axes.names if isinstance(data, la.LArray) else []
         dkey = dict(zip(axes_names, label_key))
 
@@ -1467,6 +1472,7 @@ def map_filtered_to_global(self, k):
                      if np.isscalar(v)})
 
         # re-transform it to tuple (to make it hashable/to store it in .changes)
+        # FIXME: anonymous...
         return tuple(dkey[axis.name] for axis in self.la_data.axes)
 
 

From 37587befd1feb75b9a8b896fe6969514605bd986 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Jul 2016 14:31:00 +0200
Subject: [PATCH 023/899] matmul tests shouldn't be run on python 3.4

---
 larray/tests/test_la.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 095e8b343..2059677a7 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2497,8 +2497,8 @@ def test_diag(self):
     def test_matmul(self):
         a1 = eye(3) * 2
         a2 = ndrange((3, 3))
-
-        if sys.version >= '3':
+        # FIXME: this will break for python 3.10 and later
+        if sys.version >= '3.5':
             # LArray value
             assert_array_equal(a1.__matmul__(a2), ndrange((3, 3)) * 2)
 
@@ -2508,7 +2508,8 @@ def test_matmul(self):
     def test_rmatmul(self):
         a1 = eye(3) * 2
         a2 = ndrange((3, 3))
-        if sys.version >= '3':
+        # FIXME: this will break for python 3.10 and later
+        if sys.version >= '3.5':
             # equivalent to a1.data @ a2
             res = a2.__rmatmul__(a1.data)
             self.assertIsInstance(res, LArray)

From c3b47c5fd5bc2ea8cd56c6c14b60a3d0c7a68d3f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 12 Jul 2016 12:36:09 +0200
Subject: [PATCH 024/899] update TODO for viewer

---
 larray/viewer.py | 23 +++++++++++++++++------
 1 file changed, 17 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 145d2c84c..cc0aeb50a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -27,8 +27,11 @@
 # TODO:
 # * drag & drop to reorder axes
 #   http://zetcode.com/gui/pyqt4/dragdrop/
-#   http://stackoverflow.com/questions/10264040/how-to-drag-and-drop-into-a-qtablewidget-pyqt
+#   http://stackoverflow.com/questions/10264040/
+#       how-to-drag-and-drop-into-a-qtablewidget-pyqt
 #   http://stackoverflow.com/questions/3458542/multiple-drag-and-drop-in-pyqt4
+#   http://ux.stackexchange.com/questions/34158/
+#       how-to-make-it-obvious-that-you-can-drag-things-that-you-normally-cant
 # * keep header columns & rows visible ("frozen")
 #   http://doc.qt.io/qt-5/qtwidgets-itemviews-frozencolumn-example.html
 # * document default icons situation (limitations)
@@ -44,18 +47,25 @@
 # * plotting a subset should probably (to think) go via LArray/pandas objects
 #   so that I have the headers info in the plots (and do not have to deal with
 #   them manually)
-#   > need to be generic
-# * copy to clipboard possibly too
+#   > ideally, I would like to keep this generic (not LArray-specific)
 # ? automatic change digits on resize column
 #   => different format per column, which is problematic UI-wise
-# * keep "headers" visible
 # * keyboard shortcut for filter each dim
 # * tab in a filter combo, brings up next filter combo
 # * view/edit DataFrames too
-# * view/edit LArray over Pandas
+# * view/edit LArray over Pandas (ie sparse)
 # * resubmit editor back for inclusion in Spyder
-# * custom delegates for each type (spinner for int, checkbox for bool, ...)
+# ? custom delegates for each type (spinner for int, checkbox for bool, ...)
 # ? "light" headers (do not repeat the same header several times (on the screen)
+#   it would be nicer but I am not sure it is a good idea because with many
+#   dimensions, you can no longer see the current label for the first
+#   dimension(s) if you scroll down a bit. This is solvable if, instead
+#   of only the first line ever corresponding to the label displaying it,
+#   I could make it so that it is the first line displayable on the screen
+#   which gets it. It would be a bit less nice because of strange artifacts
+#   when scrolling, but would be more useful. The beauty problem could be
+#   solved later too via fading or something like that, but probably not
+#   worth it for a while.
 
 from __future__ import print_function
 
@@ -1935,6 +1945,7 @@ def compare(obj1, obj2, title=''):
     # data2 = np.random.normal(51000000, 10000000, size=(116, 44, 2, 15))
     data2 = np.random.normal(0, 1, size=(116, 44, 2, 15))
     arr2 = la.LArray(data2, axes=(age, geo, sex, lipro))
+    # arr2 = la.ndrange([100, 100, 100, 100, 5])
     # arr2 = arr2['F', 'A11', 1]
 
     # view(arr2[0, 'A11', 'F', 'P01'])

From d01c9e2317e23973f804d963762bdde2f8e164da Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 12 Jul 2016 12:36:52 +0200
Subject: [PATCH 025/899] cleanup (move function)

---
 larray/excel.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 22d680548..802013935 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -49,10 +49,6 @@ def _concrete_key(self, key):
             key += 1
         return key
 
-    def __getitem__(self, key):
-        key = self._concrete_key(key)
-        return Sheet(self, key)
-
     def __contains__(self, key):
         if isinstance(key, int):
             length = len(self)
@@ -60,6 +56,10 @@ def __contains__(self, key):
         else:
             return key in self.sheet_names()
 
+    def __getitem__(self, key):
+        key = self._concrete_key(key)
+        return Sheet(self, key)
+
     def __setitem__(self, key, value):
         if key in self:
             key = self._concrete_key(key)

From 036f6e3de2ca6317ffd2a10184ddedd0c2821969 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 12 Jul 2016 12:40:10 +0200
Subject: [PATCH 026/899] implemented __dir__ on all excel.* classes so that
 tab completion works

it might be better to explicitly define & redirect some attributes, to not expose too much junk to our users
---
 larray/excel.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 802013935..cd0e02ad1 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -80,7 +80,9 @@ def __iter__(self):
     def __len__(self):
         return len(xw.Sheet.all(self.xw_wkb))
 
-    # TODO: implement __dir__ so that tab-completion works
+    def __dir__(self):
+        return list(set(dir(self.__class__)) | set(dir(self.xw_wkb)))
+
     def __getattr__(self, key):
         return getattr(self.xw_wkb, key)
 
@@ -141,7 +143,9 @@ def ndim(self):
     def __array__(self, dtype=None):
         return np.array(self[:].value, dtype=dtype)
 
-    # TODO: implement __dir__ so that tab-completion works
+    def __dir__(self):
+        return list(set(dir(self.__class__)) | set(dir(self.xw_sheet)))
+
     def __getattr__(self, key):
         return getattr(self.xw_sheet, key)
 
@@ -209,7 +213,9 @@ def __array__(self, dtype=None):
     def __larray__(self):
         return LArray(np.array(self.xw_range.value))
 
-    # TODO: implement __dir__ so that tab-completion works
+    def __dir__(self):
+        return list(set(dir(self.__class__)) | set(dir(self.xw_range)))
+
     def __getattr__(self, key):
         if hasattr(LArray, key):
             return getattr(self.__larray__(), key)

From 4ee629712147d675abcbc7ed20cc5843ed4c2105 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 10:40:46 +0200
Subject: [PATCH 027/899] added labels_array to core.__all__

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 0ff6bdf07..54f010dd9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -10,7 +10,7 @@
     'read_sas',
     'x',
     'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
-    'full', 'full_like', 'create_sequential', 'ndrange',
+    'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
     'identity', 'diag', 'eye',
     'larray_equal',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',

From e84fbd3d88e298619e345d09499adf62603e15a8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 10:45:21 +0200
Subject: [PATCH 028/899] update TODO/XXX/FIXME

---
 larray/core.py   | 17 +++++++++++++++--
 larray/viewer.py |  3 +++
 2 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 54f010dd9..cebe9e024 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -294,6 +294,10 @@
 # but that might introduce confusing differences if they update/setitem their
 # arrays
 
+# * we need an API to get to the "next" label. Sometimes, we want to use
+#   label+1, but when label is not numeric, or has not a step of 1, that's
+#   problematic. x.agegroup[x.agegroup.after(25):]
+
 # * implement keepaxes=True for _group_aggregate instead of/in addition to
 #   group tuples
 
@@ -694,8 +698,8 @@ def _mapping(self):
                 # otherwise we could not make geo['Brussels'] work efficiently
                 # (we could have to traverse the whole mapping checking for each
                 # name, which is not an option)
-                # TODO: only do this if labels.dtype is object, or add "contains_lgroup"
-                # flag in above code (if any(...))
+                # TODO: only do this if labels.dtype is object, or add
+                # "contains_lgroup" flag in above code (if any(...))
                 # 0.179
                 mapping.update({label.name: i for i, label in enumerate(labels)
                                 if isinstance(label, Group)})
@@ -2875,6 +2879,15 @@ def broadcast_with(self, other):
         # 2) add length one axes
         return array.reshape(array.axes.get_all(target_axes))
 
+    # XXX: I wonder if effectively dropping the labels is necessary or not
+    # we could perfectly only mark the axis as being a wildcard axis and keep
+    # the labels intact. These wildcard axes with labels
+    # could be useful in a few situations. For example, Excel sheets could
+    # have such behavior: you can slice columns using letters, but that
+    # wouldn't prevent doing computation between arrays using different
+    # columns. On the other hand, it makes wild axes less obvious and I
+    # wonder if there would be a risk of wildcard axes inadvertently leaking.
+    # plus it might be confusing if incompatible labels "work".
     def drop_labels(self, axes=None):
         """drop the labels from axes (replace those axes by "wildcard" axes)
 
diff --git a/larray/viewer.py b/larray/viewer.py
index cc0aeb50a..16c52ea7d 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1011,6 +1011,8 @@ def to_excel(self):
         if data is None:
             return
         # convert (row) generators to lists then array
+        # XXX: is the conversion to array necesarry? I think xlwings will
+        # translate back to a list anyway?!
         a = np.array([list(r) for r in data])
         xw.view(a)
 
@@ -1074,6 +1076,7 @@ def plot(self):
         # discards the old graph
         ax.hold(False)
 
+        # FIXME: use labels instead
         x = np.arange(data.shape[0])
         ax.plot(x, data)
 

From d429c1b7b515b4e7109e0847a2be88e36fd01895 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 10:58:38 +0200
Subject: [PATCH 029/899] made to_ticks support any iterable

special case for object supporting __array__ for efficiency reasons
---
 larray/core.py | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cebe9e024..077a59e7d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -538,14 +538,18 @@ def to_ticks(s):
         return [to_tick(e) for e in s]
     elif sys.version >= '3' and isinstance(s, range):
         return list(s)
+    elif isinstance(s, basestring):
+        if ':' in s:
+            return slice_str_to_range(s)
+        else:
+            return [v.strip() for v in s.split(',')]
+    elif hasattr(s, '__array__'):
+        return s.__array__()
     else:
-        assert isinstance(s, basestring), "%s is not a supported type for " \
-                                          "ticks" % type(s)
-
-    if ':' in s:
-        return slice_str_to_range(s)
-    else:
-        return [v.strip() for v in s.split(',')]
+        try:
+            return list(s)
+        except TypeError:
+            raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
 def to_key(v):

From d1c665efe7b56ce78d3b166629478f1447158bdc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 11:00:29 +0200
Subject: [PATCH 030/899] made axes without name compatible with any name

(this is the equivalent of a wildcard name for labels)
---
 larray/core.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 077a59e7d..f2041e156 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -823,7 +823,10 @@ def subaxis(self, key, name=None):
         return Axis(name, labels)
 
     def iscompatible(self, other):
-        if not isinstance(other, Axis) or self.name != other.name:
+        if not isinstance(other, Axis):
+            return False
+        if self.name is not None and other.name is not None and \
+                self.name != other.name:
             return False
         if self.iswildcard or other.iswildcard:
             # wildcard axes of length 1 match with anything

From 51a072eecc4cbf56d7c78c877fdc92258cb5600e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 11:11:22 +0200
Subject: [PATCH 031/899] generalize concat_empty to N arrays instead of 2

---
 larray/core.py | 36 +++++++++++++++++++++---------------
 1 file changed, 21 insertions(+), 15 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f2041e156..8a5294d00 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1992,25 +1992,31 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-def concat_empty(axis, array_axes, other_axes, dtype):
-    array_axis = array_axes[axis]
+def concat_empty(axis, arrays_axes, dtype):
     # Get axis by name, so that we do *NOT* check they are "compatible",
     # because it makes sense to append axes of different length
-    other_axis = other_axes[axis]
-    new_labels = np.append(array_axis.labels, other_axis.labels)
-    new_axis = Axis(array_axis.name, new_labels)
-    array_axes = array_axes.replace(array_axis, new_axis)
-    other_axes = other_axes.replace(other_axis, new_axis)
-    # combine axes from both sides (using labels from either side if any)
-    result_axes = array_axes | other_axes
-    result_data = np.empty(result_axes.shape, dtype=dtype)
-    result = LArray(result_data, result_axes)
-    l = len(array_axis)
+    arrays_axis = [axes[axis] for axes in arrays_axes]
+    arrays_labels = [axis.labels for axis in arrays_axis]
+    new_labels = np.concatenate(arrays_labels)
+    combined_axis = Axis(arrays_axis[0].name, new_labels)
+
+    new_axes = [axes.replace(axis, combined_axis)
+                for axes, axis in zip(arrays_axes, arrays_axis)]
+
+    # combine all axes (using labels from any side if any)
+    result_axes = AxisCollection.union(*new_axes)
+
+    result = empty(result_axes, dtype=dtype)
+    lengths = [len(axis) for axis in arrays_axis]
+    cumlen = np.cumsum(lengths)
+    start_bounds = np.concatenate(([0], cumlen[:-1]))
+    stop_bounds = cumlen
     # XXX: wouldn't it be nice to be able to say that? ie translation
     # from position to label on the original axis then translation to
     # position on the actual result axis?
     # result[:axis.i[-1]]
-    return result, result[new_axis.i[:l]], result[new_axis.i[l:]]
+    return result, [result[combined_axis.i[start:stop]]
+                    for start, stop in zip(start_bounds, stop_bounds)]
 
 
 class LArrayIterator(object):
@@ -4159,8 +4165,8 @@ def extend(self, axis, other):
           U |    type1 | 0.0 | 0.0
           U |    type2 | 0.0 | 0.0
         """
-        result, self_target, other_target = \
-            concat_empty(axis, self.axes, other.axes, self.dtype)
+        result, (self_target, other_target) = \
+            concat_empty(axis, (self.axes, other.axes), self.dtype)
         self.expand(out=self_target)
         other.expand(out=other_target)
         return result

From 8668e832deecc074db9cfdd75c66e2dec9e96743 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 11:24:08 +0200
Subject: [PATCH 032/899] simplify code & improve docstrings for
 append/prepend/extend

---
 larray/core.py | 40 ++++++++++++++++++++--------------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8a5294d00..aa58b5f6c 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4011,18 +4011,17 @@ def append(self, axis, value, label=None):
 
         Parameters
         ----------
-        axis : axis
+        axis : axis reference
             the axis
         value : LArray
-            LArray with compatible axes
-        label : string
-            optional
+            array with compatible axes
+        label : str, optional
             label for the new item in axis
 
         Returns
         -------
         LArray
-            LArray expanded with 'value' along 'axis'.
+            array expanded with 'value' along 'axis'.
 
         Example
         -------
@@ -4058,8 +4057,10 @@ def append(self, axis, value, label=None):
         """
         axis = self.axes[axis]
         if np.isscalar(value):
-            value = LArray(np.asarray(value, self.dtype), [])
-        # this does not prevent value to have more axes than self
+            value = LArray(np.asarray(value, self.dtype))
+        # This does not prevent value to have more axes than self.
+        # We do not use .expand(..., readonly=True) so that the code is more
+        # similar to .prepend().
         target_axes = self.axes.replace(axis, Axis(axis.name, [label]))
         value = value.broadcast_with(target_axes)
         return self.extend(axis, value)
@@ -4069,18 +4070,17 @@ def prepend(self, axis, value, label=None):
 
         Parameters
         ----------
-        axis : axis
+        axis : axis reference
             the axis
         value : LArray
-            LArray with compatible axes
-        label : string
-            optional
+            array with compatible axes
+        label : str, optional
             label for the new item in axis
 
         Returns
         -------
         LArray
-            LArray expanded with 'value' at the start of 'axis'.
+            array expanded with 'value' at the start of 'axis'.
 
         Example
         -------
@@ -4109,11 +4109,11 @@ def prepend(self, axis, value, label=None):
         """
         axis = self.axes[axis]
         if np.isscalar(value):
-            value = LArray(np.asarray(value, self.dtype), [])
-        # this does not prevent value to have more axes than self
+            value = LArray(np.asarray(value, self.dtype))
+        # This does not prevent value to have more axes than self
         target_axes = self.axes.replace(axis, Axis(axis.name, [label]))
-        # we cannot simply add the "new" axis to value because in that case
-        # the resulting axes would not be in the correct order
+        # We cannot simply add the "new" axis to value (e.g. using expand)
+        # because the resulting axes would not be in the correct order.
         value = value.broadcast_with(target_axes)
         return value.extend(axis, self)
 
@@ -4125,12 +4125,12 @@ def extend(self, axis, other):
         axis : axis
             the axis
         other : LArray
-            LArray with compatible axes
+            array with compatible axes
 
         Returns
         -------
         LArray
-            LArray expanded with 'other' along 'axis'.
+            array expanded with 'other' along 'axis'.
 
         Example
         -------
@@ -4167,8 +4167,8 @@ def extend(self, axis, other):
         """
         result, (self_target, other_target) = \
             concat_empty(axis, (self.axes, other.axes), self.dtype)
-        self.expand(out=self_target)
-        other.expand(out=other_target)
+        self_target[:] = self
+        other_target[:] = other
         return result
 
     def transpose(self, *args):

From cc6eed65904253280956f29ab21a0f9c72fe499d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 13:09:31 +0200
Subject: [PATCH 033/899] nicer doctests for ratio, percent, growth_rate and
 create_sequential

the goal was to use numbers which are both easier to reason about and which display nicely
(ie not 0.33333...)
---
 larray/core.py | 116 +++++++++++++++++++++++--------------------------
 1 file changed, 55 insertions(+), 61 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index aa58b5f6c..3f8a7c5e6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3593,31 +3593,27 @@ def ratio(self, *axes):
 
         Example
         -------
-        >>> age = Axis('age', range(3))
+        >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> a = ndrange([age, sex])
+        >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
         >>> a
-        age\\sex | M | F
-              0 | 0 | 1
-              1 | 2 | 3
-              2 | 4 | 5
+        nat\\sex | M | F
+             BE | 4 | 6
+             FO | 2 | 8
         >>> a.sum()
-        15
+        20
         >>> a.ratio()
-        age\\sex |              M |               F
-              0 |            0.0 | 0.0666666666667
-              1 | 0.133333333333 |             0.2
-              2 | 0.266666666667 |  0.333333333333
-        >>> a.ratio(sex)
-        age\\sex |              M |              F
-              0 |            0.0 |            1.0
-              1 |            0.4 |            0.6
-              2 | 0.444444444444 | 0.555555555556
-        >>> a.ratio('F')
-        age\\sex |              M |   F
-              0 |            0.0 | 1.0
-              1 | 0.666666666667 | 1.0
-              2 |            0.8 | 1.0
+        nat\\sex |   M |   F
+             BE | 0.2 | 0.3
+             FO | 0.1 | 0.4
+        >>> a.ratio(x.sex)
+        nat\\sex |   M |   F
+             BE | 0.4 | 0.6
+             FO | 0.2 | 0.8
+        >>> a.ratio('M')
+        nat\\sex |   M |   F
+             BE | 1.0 | 1.5
+             FO | 1.0 | 4.0
         """
         # >>> FIXME, this does not work, but it should
         # >>> NotImplementedError: an AxisReference (x.) cannot translate labels
@@ -3698,21 +3694,21 @@ def percent(self, *axes):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> mat = ndrange([xnat, xsex])
-        >>> mat
-        nat\\sex | H | F
-             BE | 0 | 1
-             FO | 2 | 3
-        >>> mat.percent()
-        nat\\sex |             H |             F
-             BE |           0.0 | 16.6666666667
-             FO | 33.3333333333 |          50.0
-        >>> mat.percent(xsex)
-        nat\\sex |    H |     F
-             BE |  0.0 | 100.0
-             FO | 40.0 |  60.0
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
+        >>> a
+        nat\\sex | M | F
+             BE | 4 | 6
+             FO | 2 | 8
+        >>> a.percent()
+        nat\\sex |    M |    F
+             BE | 20.0 | 30.0
+             FO | 10.0 | 40.0
+        >>> a.percent(x.sex)
+        nat\\sex |    M |    F
+             BE | 40.0 | 60.0
+             FO | 20.0 | 80.0
         """
         # dividing by self.sum(*axes) * 0.01 would be faster in many cases but
         # I suspect it loose more precision.
@@ -4855,20 +4851,21 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         Example
         -------
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> year = Axis('year', [2015, 2016, 2017])
-        >>> a = ndrange([sex, year]).cumsum(x.year)
+        >>> year = Axis('year', range(2016, 2020))
+        >>> a = LArray([[1.0, 2.0, 3.0, 3.0], [2.0, 3.0, 1.5, 3.0]],
+        ...            [sex, year])
         >>> a
-        sex\\year | 2015 | 2016 | 2017
-               M |    0 |    1 |    3
-               F |    3 |    7 |   12
+        sex\\year | 2016 | 2017 | 2018 | 2019
+               M |  1.0 |  2.0 |  3.0 |  3.0
+               F |  2.0 |  3.0 |  1.5 |  3.0
         >>> a.growth_rate()
-        sex\\year |          2016 |           2017
-               M |           inf |            2.0
-               F | 1.33333333333 | 0.714285714286
+        sex\\year | 2017 | 2018 | 2019
+               M |  1.0 |  0.5 |  0.0
+               F |  0.5 | -0.5 |  1.0
         >>> a.growth_rate(d=2)
-        sex\\year | 2017
-               M |  inf
-               F |  3.0
+        sex\\year |  2018 | 2019
+               M |   2.0 |  0.5
+               F | -0.25 |  0.0
         """
         diff = self.diff(axis=axis, d=d, label=label)
         axis_obj = self.axes[axis]
@@ -5456,12 +5453,12 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
     >>> create_sequential(year)
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
-    >>> create_sequential(year, 1.0, 0.1)
+    >>> create_sequential(year, 1.0, 0.5)
     year | 2016 | 2017 | 2018 | 2019
-         |  1.0 |  1.1 |  1.2 |  1.3
-    >>> create_sequential(year, 1.0, mult=1.1)
+         |  1.0 |  1.5 |  2.0 |  2.5
+    >>> create_sequential(year, 1.0, mult=1.5)
     year | 2016 | 2017 | 2018 |  2019
-         |  1.0 |  1.1 | 1.21 | 1.331
+         |  1.0 |  1.5 | 2.25 | 3.375
     >>> inc = LArray([1, 2], [sex])
     >>> inc
     sex | M | F
@@ -5501,20 +5498,17 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
 
     create_sequential can be used as the inverse of growth_rate:
 
-    >>> a = ndrange([sex, year], start=1, dtype=float)
+    >>> a = LArray([1.0, 2.0, 3.0, 3.0], year)
     >>> a
-    sex\year | 2016 | 2017 | 2018 | 2019
-           M |  1.0 |  2.0 |  3.0 |  4.0
-           F |  5.0 |  6.0 |  7.0 |  8.0
+    year | 2016 | 2017 | 2018 | 2019
+         |  1.0 |  2.0 |  3.0 |  3.0
     >>> g = a.growth_rate() + 1
     >>> g
-    sex\year | 2017 |          2018 |          2019
-           M |  2.0 |           1.5 | 1.33333333333
-           F |  1.2 | 1.16666666667 | 1.14285714286
+    year | 2017 | 2018 | 2019
+         |  2.0 |  1.5 |  1.0
     >>> create_sequential(a.axes.year, a[2016], mult=g)
-    sex\year | 2016 | 2017 | 2018 | 2019
-           M |  1.0 |  2.0 |  3.0 |  4.0
-           F |  5.0 |  6.0 |  7.0 |  8.0
+    year | 2016 | 2017 | 2018 | 2019
+         |  1.0 |  2.0 |  3.0 |  3.0
     """
     if inc is None:
         inc = 1 if mult is 1 else 0

From c04d8d605f9017c47a8bb62846eb84fcb9a7ed85 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 13:12:48 +0200
Subject: [PATCH 034/899] better docstring for percent

---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 3f8a7c5e6..8c0c991f9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3681,7 +3681,7 @@ def ratio(self, *axes):
         return self / self.sum(*axes)
 
     def percent(self, *axes):
-        """Returns a LArray with values LArray / LArray.sum(axes) * 100.
+        """Returns an array with values array / array.sum(axes) * 100.
 
         Parameters
         ----------
@@ -3690,7 +3690,7 @@ def percent(self, *axes):
         Returns
         -------
         LArray
-            LArray = LArray / LArray.sum(axes) * 100
+            array / array.sum(axes) * 100
 
         Example
         -------

From c24f8e9fc9b80b90f222175366755d06d904db05 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 1 Aug 2016 13:20:26 +0200
Subject: [PATCH 035/899] made stack support arrays whith different axes/dtype

(the result has the union of all axes)
---
 larray/core.py | 44 ++++++++++++++++++++++++++++++++++++++------
 1 file changed, 38 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8c0c991f9..3f00fa27a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1992,6 +1992,14 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
+def common_type(arrays):
+    arrays = [np.asarray(a) for a in arrays]
+    try:
+        return np.common_type(*arrays)
+    except TypeError:
+        return object
+
+
 def concat_empty(axis, arrays_axes, dtype):
     # Get axis by name, so that we do *NOT* check they are "compatible",
     # because it makes sense to append axes of different length
@@ -5797,13 +5805,37 @@ def stack(arrays, axis):
            'F', numbirths * (1 - HMASC)], 'sex')
     stack(('H', numbirths * HMASC),
           ('F', numbirths * (1 - HMASC)), name='sex')
+
+    Example
+    -------
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['H', 'F'])
+    >>> arr1 = ones(nat)
+    >>> arr1
+    nat |  BE |  FO
+        | 1.0 | 1.0
+    >>> arr2 = zeros(nat)
+    >>> arr2
+    nat |  BE |  FO
+        | 0.0 | 0.0
+    >>> stack((arr1, arr2), sex)
+    nat\\sex |   H |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+    It also works for arrays with different axes:
+
+    >>> stack((arr1, 0), sex)
+    nat\\sex |   H |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
     """
-    # append an extra length 1 dimension
-    data_arrays = [a.data.reshape(a.shape + (1,)) for a in arrays]
-    axes = arrays[0].axes
-    for a in arrays[1:]:
-        a.axes.check_compatible(axes)
-    return LArray(np.concatenate(data_arrays, axis=-1), axes + axis)
+    assert len(axis) == len(arrays)
+    result_axes = AxisCollection.union(*[get_axes(v) for v in arrays]) | axis
+    result = empty(result_axes, common_type(arrays))
+    for label, array in zip(axis, arrays):
+        result[label] = array
+    return result
 
 
 class ExprNode(object):

From d4723f858e0ec8363c5b4fbcf46503361958227a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 Aug 2016 16:12:30 +0200
Subject: [PATCH 036/899] bump version to 0.14

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 65b7afc01..8b552052d 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.13
+  version: 0.14
 
 source:
-  git_tag: 0.13
+  git_tag: 0.14
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 48b9fbde2..c7b40e308 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.13'
+version = '0.14'
 # The full version, including alpha/beta/rc tags.
-release = '0.13'
+release = '0.14'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 3f00fa27a..4b4bc6935 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.13"
+__version__ = "0.14"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index b65ba281e..a10daab3c 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.13'
+VERSION = '0.14'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From cbe5762be3caee5c54b3574c6a65bb9221fccb99 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 Aug 2016 16:14:21 +0200
Subject: [PATCH 037/899] improved performance by avoiding some useless
 computations

~10% perf increase in test models
---
 larray/core.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 4b4bc6935..ffb184e87 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -836,6 +836,8 @@ def iscompatible(self, other):
             return np.array_equal(self.labels, other.labels)
 
     def equals(self, other):
+        if self is other:
+            return True
         return (isinstance(other, Axis) and self.name == other.name and
                 self.iswildcard == other.iswildcard and
                 np.array_equal(self.labels, other.labels))
@@ -1384,6 +1386,8 @@ def __eq__(self, other):
         other collection compares equal if all axes compare equal and in the
         same order. Works with a list.
         """
+        if self is other:
+            return True
         if not isinstance(other, list):
             other = list(other)
         return len(self._list) == len(other) and \
@@ -2888,6 +2892,8 @@ def broadcast_with(self, other):
             other_axes = other
             if not isinstance(other, AxisCollection):
                 other_axes = AxisCollection(other_axes)
+        if self.axes == other_axes:
+            return self
         target_axes = (self.axes - other_axes) | other_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']

From b8caa3581f8f5d8f3794e23c7407bd6fe555bd31 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 Aug 2016 16:19:43 +0200
Subject: [PATCH 038/899] fixed common_type to return int when combining int
 arrays

---
 larray/core.py | 22 +++++++++++++++++++---
 1 file changed, 19 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index ffb184e87..f0254b4e9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1996,11 +1996,27 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
+_numeric_kinds = 'buifc'
+_string_kinds = 'SU'
+_meta_kind = {k: 'str' for k in _string_kinds}
+_meta_kind.update({k: 'numeric' for k in _numeric_kinds})
+
+
 def common_type(arrays):
     arrays = [np.asarray(a) for a in arrays]
-    try:
-        return np.common_type(*arrays)
-    except TypeError:
+    dtypes = [a.dtype for a in arrays]
+    meta_kinds = [_meta_kind.get(dt.kind, 'other') for dt in dtypes]
+    # mixing string and numeric => object
+    if any(mk != meta_kinds[0] for mk in meta_kinds[1:]):
+        return object
+    elif meta_kinds[0] == 'numeric':
+        return np.find_common_type(dtypes, [])
+    elif meta_kinds[0] == 'str':
+        need_unicode = any(dt.kind == 'U' for dt in dtypes)
+        max_size = max(dt.itemsize // 4 if dt.kind == 'U' else dt.itemsize
+                       for dt in dtypes)
+        return np.dtype(('U' if need_unicode else 'S', max_size))
+    else:
         return object
 
 

From 272d48b2fc7830a6428265e8eb294761202f3d96 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 Aug 2016 16:52:45 +0200
Subject: [PATCH 039/899] when appending labels to an axis, convert labels to
 object if needed

instead of converting to string, which breaks __getitem__

This can happen for example when we want to add a "total" tick to a numeric axis (eg age).
---
 larray/core.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index f0254b4e9..a6dceacf7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2025,6 +2025,16 @@ def concat_empty(axis, arrays_axes, dtype):
     # because it makes sense to append axes of different length
     arrays_axis = [axes[axis] for axes in arrays_axes]
     arrays_labels = [axis.labels for axis in arrays_axis]
+
+    # switch to object dtype if labels are of incompatible types, so that
+    # we do not implicitly convert numeric types to strings (numpy should not
+    # do this in the first place but that is another story). This can happen for
+    # example when we want to add a "total" tick to a numeric axis (eg age).
+    labels_type = common_type(arrays_labels)
+    if labels_type is object:
+        # astype always copies, while asarray only copies if necessary
+        arrays_labels = [np.asarray(labels, dtype=object)
+                         for labels in arrays_labels]
     new_labels = np.concatenate(arrays_labels)
     combined_axis = Axis(arrays_axis[0].name, new_labels)
 

From 23595fdcfdf5f9cac8c573cfd07bfe9c309a0fba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 Aug 2016 08:07:11 +0200
Subject: [PATCH 040/899] made it possible to set bg_gradient & bg_value on the
 fly on ArrayModel and ArrayEditorWidget

(using set_data)
---
 larray/viewer.py | 27 +++++++++++++++------------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 16c52ea7d..271a5ad8a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -326,8 +326,6 @@ def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
 
         # Backgroundcolor settings
         # TODO: use LinearGradient
-        self.bg_gradient = bg_gradient
-        self.bg_value = bg_value
         # self.bgfunc = bgfunc
         huerange = [.66, .99]  # Hue
         self.sat = .7  # Saturation
@@ -350,7 +348,7 @@ def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
         self.minvalue = minvalue
         self.maxvalue = maxvalue
         # TODO: check that data respects minvalue/maxvalue
-        self._set_data(data, xlabels, ylabels)
+        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
 
     def get_format(self):
         """Return current format"""
@@ -361,11 +359,11 @@ def get_data(self):
         """Return data"""
         return self._data
 
-    def set_data(self, data, xlabels=None, ylabels=None, changes=None):
-        self._set_data(data, xlabels, ylabels, changes)
+    def set_data(self, data, xlabels=None, ylabels=None, changes=None, bg_gradient=None, bg_value=None):
+        self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
         self.reset()
 
-    def _set_data(self, data, xlabels, ylabels, changes=None):
+    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
         if changes is None:
             changes = {}
         if data is None:
@@ -387,6 +385,9 @@ def _set_data(self, data, xlabels, ylabels, changes=None):
             self.color_func = np.abs
         else:
             self.color_func = np.real
+        self.bg_gradient = bg_gradient
+        self.bg_value = bg_value
+
         assert isinstance(changes, dict)
         self.changes = changes
         self._data = data
@@ -1117,7 +1118,7 @@ def ndigits(value):
     if log10 == np.inf:
         int_digits = 308
     else:
-        # max(1, ...) because there is at least one integer digit
+        # max(1, ...) because there is at least one integer digit.
         # explicit conversion to int for Python2.x
         int_digits = max(1, int(math.floor(log10)) + 1)
     # one digit for sign if negative
@@ -1164,9 +1165,11 @@ def __init__(self, parent, data, readonly=False,
         layout.addWidget(self.view)
         layout.addLayout(btn_layout)
         self.setLayout(layout)
-        self.set_data(data, xlabels, ylabels)
+        self.set_data(data, xlabels, ylabels, bg_value=bg_value,
+                      bg_gradient=bg_gradient)
 
-    def set_data(self, data, xlabels=None, ylabels=None, current_filter=None):
+    def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
+                 bg_gradient=None, bg_value=None):
         self.old_data_shape = None
         if current_filter is None:
             current_filter = {}
@@ -1208,9 +1211,9 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None):
             #     self.error(_("The 'ylabels' argument length do no match array row "
             #                  "number"))
             #     return False
-        self._set_raw_data(data, xlabels, ylabels)
+        self._set_raw_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
 
-    def _set_raw_data(self, data, xlabels, ylabels, changes=None):
+    def _set_raw_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
         # FIXME: this method should be *FAST*, as it is used for each filter
         # change
         ndecimals, use_scientific = self.choose_format(data)
@@ -1221,7 +1224,7 @@ def _set_raw_data(self, data, xlabels, ylabels, changes=None):
         self.model.set_format(self.cell_format)
         if changes is None:
             changes = {}
-        self.model.set_data(data, xlabels, ylabels, changes)
+        self.model.set_data(data, xlabels, ylabels, changes, bg_gradient=bg_gradient, bg_value=bg_value)
 
         self.digits_spinbox.setValue(ndecimals)
         self.digits_spinbox.setEnabled(is_float(data.dtype))

From 35f86fc6a39c5cf8f585512756915b146a4f4bc3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 Aug 2016 08:12:10 +0200
Subject: [PATCH 041/899] simplify code

---
 larray/viewer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 271a5ad8a..f7f17f056 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1309,7 +1309,7 @@ def str_width(c):
             return metrics.size(Qt.TextSingleLine, c).width()
 
         digit_width = max(str_width(str(i)) for i in range(10))
-        dot_width = metrics.size(Qt.TextSingleLine, '.').width()
+        dot_width = str_width('.')
         sign_width = max(str_width('+'), str_width('-'))
         if need_sign:
             avail_width -= sign_width

From b1cef44e313590041c6e5380b3dd2f3e8a872bf7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 Aug 2016 08:20:10 +0200
Subject: [PATCH 042/899] changed compare() to use a single arraywidget by
 stacking arrays

added label to show maximum absolute difference in compare()
added support for comparing more than two arrays,
    they are all compared to the first one
added support for comparing (any number of) sessions in compare()
---
 larray/viewer.py | 218 ++++++++++++++++++++++++++++++++++++++---------
 1 file changed, 178 insertions(+), 40 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index f7f17f056..3ecd0c8ce 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1794,20 +1794,18 @@ def __init__(self, parent=None):
         # a segmentation fault on UNIX or an application crash on Windows
         self.setAttribute(Qt.WA_DeleteOnClose)
 
-        self.data1 = None
-        self.data2 = None
-        self.array1widget = None
-        self.array2widget = None
+        self.arrays = None
+        self.array = None
+        self.arraywidget = None
 
-    def setup_and_check(self, data1, data2, title=''):
+    def setup_and_check(self, arrays, names, title=''):
         """
-        Setup SessionEditor:
+        Setup ArrayComparator:
         return False if data is not supported, True otherwise
         """
-        assert isinstance(data1, la.LArray)
-        assert isinstance(data2, la.LArray)
-        self.data1 = data1
-        self.data2 = data2
+        assert all(isinstance(a, la.LArray) for a in arrays)
+        self.arrays = arrays
+        self.array = la.stack(arrays, la.Axis('arrays', names))
 
         icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
         if icon is not None:
@@ -1821,39 +1819,140 @@ def setup_and_check(self, data1, data2, title=''):
         layout = QVBoxLayout()
         self.setLayout(layout)
 
-        diff = (data2 - data1)
-        vmax = np.nanmax(diff)
-        vmin = np.nanmin(diff)
-        absmax = max(abs(vmax), abs(vmin))
-        # scale diff to 0-1
+        diff = self.array - self.array[la.x.arrays.i[0]]
+        absmax = abs(diff).max()
+
+        # max diff label
+        maxdiff_layout = QHBoxLayout()
+        maxdiff_layout.addWidget(QLabel('maximum absolute difference: ' +
+                                        str(absmax)))
+        maxdiff_layout.addStretch()
+        layout.addLayout(maxdiff_layout)
+
         if absmax:
+            # scale diff to 0-1
             bg_value = (diff / absmax) / 2 + 0.5
         else:
-            # TODO: implement full() and full_like()
-            bg_value = la.empty_like(diff)
-            bg_value[:] = 0.5
+            # all 0.5 (white)
+            bg_value = la.full_like(diff, 0.5)
         gradient = LinearGradient([(0, [.66, .85, 1., .6]),
                                    (0.5 - 1e-300, [.66, .15, 1., .6]),
                                    (0.5, [1., 0., 1., 1.]),
                                    (0.5 + 1e-300, [.99, .15, 1., .6]),
                                    (1, [.99, .85, 1., .6])])
 
-        self.array1widget = ArrayEditorWidget(self, data1, readonly=True,
-                                              bg_value=bg_value,
-                                              bg_gradient=gradient)
-        self.diffwidget = ArrayEditorWidget(self, diff, readonly=True,
-                                            bg_value=bg_value,
-                                            bg_gradient=gradient)
-        self.array2widget = ArrayEditorWidget(self, data2, readonly=True,
-                                              bg_value=1 - bg_value,
-                                              bg_gradient=gradient)
+        self.arraywidget = ArrayEditorWidget(self, self.array, readonly=True,
+                                             bg_value=bg_value,
+                                             bg_gradient=gradient)
+
+        layout.addWidget(self.arraywidget)
+
+        # Buttons configuration
+        btn_layout = QHBoxLayout()
+        btn_layout.addStretch()
+
+        buttons = QDialogButtonBox.Ok
+        bbox = QDialogButtonBox(buttons)
+        bbox.accepted.connect(self.accept)
+        btn_layout.addWidget(bbox)
+        layout.addLayout(btn_layout)
+
+        self.resize(800, 600)
+        self.setMinimumSize(400, 300)
+
+        # Make the dialog act as a window
+        self.setWindowFlags(Qt.Window)
+        return True
+
+
+# TODO: it should be possible to reuse both SessionEditor and ArrayComparator
+class SessionComparator(QDialog):
+    """Session Comparator Dialog"""
+    def __init__(self, parent=None):
+        QDialog.__init__(self, parent)
+
+        # Destroying the C++ object right after closing the dialog box,
+        # otherwise it may be garbage-collected in another QThread
+        # (e.g. the editor's analysis thread in Spyder), thus leading to
+        # a segmentation fault on UNIX or an application crash on Windows
+        self.setAttribute(Qt.WA_DeleteOnClose)
+
+        self.sessions = None
+        self.names = None
+        self.arraywidget = None
+        self.maxdiff_label = None
+        self.gradient = LinearGradient([(0, [.66, .85, 1., .6]),
+                                        (0.5 - 1e-300, [.66, .15, 1., .6]),
+                                        (0.5, [1., 0., 1., 1.]),
+                                        (0.5 + 1e-300, [.99, .15, 1., .6]),
+                                        (1, [.99, .85, 1., .6])])
+
+    def setup_and_check(self, sessions, names, title=''):
+        """
+        Setup SessionComparator:
+        return False if data is not supported, True otherwise
+        """
+        assert all(isinstance(s, la.Session) for s in sessions)
+        self.sessions = sessions
+        self.names = names
+
+        icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
+        if icon is not None:
+            self.setWindowIcon(icon)
+
+        if not title:
+            title = _("Session comparator")
+        title += ' (' + _('read only') + ')'
+        self.setWindowTitle(title)
+
+        layout = QVBoxLayout()
+        self.setLayout(layout)
+
+        names = sorted(set.union(*[set(s.names) for s in self.sessions]))
+        self._listwidget = listwidget = QListWidget(self)
+        self._listwidget.addItems(names)
+        self._listwidget.currentItemChanged.connect(self.on_item_changed)
+
+        for i, name in enumerate(names):
+            arrays = [s.get(name) for s in self.sessions]
+            eq = [la.larray_equal(a, arrays[0]) for a in arrays[1:]]
+            if not all(eq):
+                listwidget.item(i).setForeground(Qt.red)
+
+        array, absmax, bg_value = self.get_array(names[0])
+
+        if not array.size:
+            array = la.LArray(['no data'])
+        self.arraywidget = ArrayEditorWidget(self, array, readonly=True,
+                                             bg_value=bg_value,
+                                             bg_gradient=self.gradient)
+
+        right_panel_layout = QVBoxLayout()
 
-        splitter = QHBoxLayout()
-        splitter.addWidget(self.array1widget)
-        splitter.addWidget(self.diffwidget)
-        splitter.addWidget(self.array2widget)
+        # max diff label
+        maxdiff_layout = QHBoxLayout()
+        maxdiff_layout.addWidget(QLabel('maximum absolute difference:'))
+        self.maxdiff_label = QLabel(str(absmax))
+        maxdiff_layout.addWidget(self.maxdiff_label)
+        maxdiff_layout.addStretch()
+        right_panel_layout.addLayout(maxdiff_layout)
 
-        layout.addLayout(splitter)
+        # array_splitter.setSizePolicy(QSizePolicy.Expanding,
+        #                              QSizePolicy.Expanding)
+        right_panel_layout.addWidget(self.arraywidget)
+
+        # you cant add a layout directly in a splitter, so we have to wrap it
+        # in a widget
+        right_panel_widget = QWidget()
+        right_panel_widget.setLayout(right_panel_layout)
+
+        main_splitter = QSplitter(Qt.Horizontal)
+        main_splitter.addWidget(self._listwidget)
+        main_splitter.addWidget(right_panel_widget)
+        main_splitter.setSizes([5, 95])
+        main_splitter.setCollapsible(1, False)
+
+        layout.addWidget(main_splitter)
 
         # Buttons configuration
         btn_layout = QHBoxLayout()
@@ -1872,6 +1971,29 @@ def setup_and_check(self, data1, data2, title=''):
         self.setWindowFlags(Qt.Window)
         return True
 
+    def get_array(self, name):
+        arrays = [s.get(name) for s in self.sessions]
+        array = la.stack(arrays, la.Axis('sessions', self.names))
+        diff = array - array[la.x.sessions.i[0]]
+        absmax = abs(diff).max()
+        # scale diff to 0-1
+        if absmax:
+            bg_value = (diff / absmax) / 2 + 0.5
+        else:
+            bg_value = la.full_like(diff, 0.5)
+        # only show rows with a difference. For some reason, this is abysmally
+        # slow though.
+        # row_filter = (array != array[la.x.sessions.i[0]]).any(la.x.sessions)
+        # array = array[row_filter]
+        # bg_value = bg_value[row_filter]
+        return array, absmax, bg_value
+
+    def on_item_changed(self, curr, prev):
+        array, absmax, bg_value = self.get_array(str(curr.text()))
+        self.maxdiff_label.setText(str(absmax))
+        self.arraywidget.set_data(array, bg_value=bg_value,
+                                  bg_gradient=self.gradient)
+
 
 def find_names(obj, depth=1):
     # noinspection PyProtectedMember
@@ -1914,10 +2036,21 @@ def view(obj, title=''):
         dlg.exec_()
 
 
-def compare(obj1, obj2, title=''):
+def compare(*args, **kwargs):
+    title = kwargs.pop('title', '')
     _app = qapplication()
-    dlg = ArrayComparator()
-    if dlg.setup_and_check(obj1, obj2, title=title):
+    if any(isinstance(a, la.Session) for a in args):
+        dlg = SessionComparator()
+        default_name = 'session'
+    else:
+        dlg = ArrayComparator()
+        default_name = 'array'
+
+    def get_name(i, obj):
+        names = find_names(obj, depth=4)
+        return names[0] if names else '%s %d' % (default_name, i)
+    names = [get_name(i, a) for i, a in enumerate(args)]
+    if dlg.setup_and_check(args, names=names, title=title):
         dlg.exec_()
 
 
@@ -1972,19 +2105,24 @@ def compare(obj1, obj2, title=''):
     # arr2 = la.LArray(data2,
     #                  axes=(la.Axis('d0', list(range(5000))),
     #                        la.Axis('d1', list(range(20)))))
-    edit(arr2)
+    # edit(arr2)
 
     # view(['a', 'bb', 5599])
     # view(np.arange(12).reshape(2, 3, 2))
     # view([])
 
-    # data3 = np.random.normal(0, 1, size=(2, 15))
-    # arr3 = la.LArray(data3, axes=(sex, lipro))
+    data3 = np.random.normal(0, 1, size=(2, 15))
+    arr3 = la.ndrange((30, sex))
     # data4 = np.random.normal(0, 1, size=(2, 15))
     # arr4 = la.LArray(data4, axes=(sex, lipro))
+
     # arr4 = arr3.copy()
-    # arr4['F', 'P01':] = arr3['F', 'P01':] / 2
-    # compare(arr3, arr4)
+    # arr4['F'] /= 2
+    arr4 = arr3.min(la.x.sex)
+    arr5 = arr3.max(la.x.sex)
+    arr6 = arr3.mean(la.x.sex)
+    # view(la.stack((arr3, arr4), la.Axis('arrays', 'arr3,arr4')))
+    compare(arr3, arr4, arr5, arr6)
 
     # arr3 = la.ndrange((1000, 1000, 500))
     # print(arr3.nbytes * 1e-9 + 'Gb')

From 1aadea9157c0910e5bf5e208c268dba7e0ea7fc2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 11:05:04 +0200
Subject: [PATCH 043/899] made the viewer startup time on large arrays a lot
 faster

ndecimals and use_scientific are determined using only a tiny fraction
of the array (between 100 & 200 elements).

In practice this gave good results on all the arrays I throwed
at it. It is certainly possible to craft arrays which would be detected
wrongly, but that should be extremely rare when using real data.
---
 larray/viewer.py | 31 +++++++++++++++++--------------
 1 file changed, 17 insertions(+), 14 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3ecd0c8ce..1a9ec3539 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1211,22 +1211,31 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
             #     self.error(_("The 'ylabels' argument length do no match array row "
             #                  "number"))
             #     return False
-        self._set_raw_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
+        self._set_raw_data(data, xlabels, ylabels,
+                           bg_gradient=bg_gradient, bg_value=bg_value)
+
+    def _set_raw_data(self, data, xlabels, ylabels, changes=None,
+                      bg_gradient=None, bg_value=None):
+        size = data.size
+        # this will yield a data sample of max 199
+        step = (size // 100) if size > 100 else 1
+        data_sample = data.flat[::step]
+
+        # TODO: refactor so that the expensive format_helper is not called
+        # twice (or the values are cached)
+        use_scientific = self.choose_scientific(data_sample)
 
-    def _set_raw_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
-        # FIXME: this method should be *FAST*, as it is used for each filter
-        # change
-        ndecimals, use_scientific = self.choose_format(data)
         # XXX: self.ndecimals vs self.digits
-        self.digits = ndecimals
+        self.digits = self.choose_ndecimals(data_sample, use_scientific)
         self.use_scientific = use_scientific
         self.data = data
         self.model.set_format(self.cell_format)
         if changes is None:
             changes = {}
-        self.model.set_data(data, xlabels, ylabels, changes, bg_gradient=bg_gradient, bg_value=bg_value)
+        self.model.set_data(data, xlabels, ylabels, changes,
+                            bg_gradient=bg_gradient, bg_value=bg_value)
 
-        self.digits_spinbox.setValue(ndecimals)
+        self.digits_spinbox.setValue(self.digits)
         self.digits_spinbox.setEnabled(is_float(data.dtype))
 
         self.scientific_checkbox.setChecked(use_scientific)
@@ -1280,12 +1289,6 @@ def choose_ndecimals(self, data, scientific):
             ndecimals = data_frac_digits
         return ndecimals
 
-    def choose_format(self, data):
-        # TODO: refactor so that the expensive format_helper is not called
-        # twice (or the values are cached)
-        use_scientific = self.choose_scientific(data)
-        return self.choose_ndecimals(data, use_scientific), use_scientific
-
     def format_helper(self, data):
         if not data.size:
             return 0, 0, False

From 7010b9ef69a52c7e1dc497a004e442d752152ada Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:39:18 +0200
Subject: [PATCH 044/899] implemented Session.copy() and Session.keys() so that
 it's more dict-like

---
 larray/session.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/larray/session.py b/larray/session.py
index 362fe6dda..e37c120bd 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -299,6 +299,12 @@ def names(self):
         """
         return sorted(self._objects.keys())
 
+    def copy(self):
+        return Session(self._objects)
+
+    def keys(self):
+        return self._objects.keys()
+
     # XXX: sorted?
     def values(self):
         return self._objects.values()

From 51d1104dd4526311027c514ca1398c36d7789900 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:40:19 +0200
Subject: [PATCH 045/899] implemented optional depth argument to local_arrays()
 so that it can be used inside other functions

---
 larray/session.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index e37c120bd..bdec743db 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -366,7 +366,7 @@ def __truediv__(self, other):
                        for name in all_names})
 
 
-def local_arrays():
+def local_arrays(depth=0):
     # noinspection PyProtectedMember
-    d = sys._getframe(1).f_locals
+    d = sys._getframe(depth + 1).f_locals
     return Session((k, v) for k, v in d.items() if isinstance(v, LArray))

From d7f689e0fca72545b049be37110297f3dcf0daaf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 046/899] made view() without argument equivalent to
 view(local_arrays()) cleanup viewer.{find_names, get_title and view}
 implementation and add docstrings

---
 larray/viewer.py | 67 ++++++++++++++++++++++++++++++++++++------------
 1 file changed, 51 insertions(+), 16 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 1a9ec3539..4eb57ac99 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1998,39 +1998,73 @@ def on_item_changed(self, curr, prev):
                                   bg_gradient=self.gradient)
 
 
-def find_names(obj, depth=1):
+def find_names(obj, depth=0):
+    """Return all names an object is bound to.
+
+    Parameters
+    ----------
+    obj : object
+        the object to find names for.
+    depth : int
+        depth of call frame to inspect. 0 is where find_names was called,
+        1 the caller of find_names, etc.
+
+    Returns
+    -------
+    list of str
+        all names obj is bound to, sorted alphabetically. Can be [] if we
+        computed an array just to view it.
+    """
     # noinspection PyProtectedMember
-    l = sys._getframe(depth).f_locals
+    l = sys._getframe(depth + 1).f_locals
     return sorted(k for k, v in l.items() if v is obj)
 
 
-def get_title(obj, depth=1):
+def get_title(obj, depth=0, maxnames=3):
+    """Return a title for an object (a combination of the names it is bound to).
+
+    Parameters
+    ----------
+    obj : object
+        the object to find a title for.
+    depth : int
+        depth of call frame to inspect. 0 is where get_title was called,
+        1 the caller of get_title, etc.
+
+    Returns
+    -------
+    str
+        title for obj. This can be '' if we computed an array just to view it.
+    """
     names = find_names(obj, depth=depth + 1)
-    # names can be == [] if we compute an array just to view it
+    # names can be == []
     # eg. view(arr['H'])
-    if len(names) > 3:
-        names = names[:3] + ['...']
+    if len(names) > maxnames:
+        names = names[:maxnames] + ['...']
     return ', '.join(names)
 
 
 def edit(array, title='', minvalue=None, maxvalue=None):
     _app = qapplication()
     if not title:
-        title = get_title(array, depth=2)
+        title = get_title(array, depth=1)
     dlg = ArrayEditor()
     if dlg.setup_and_check(array, title=title,
                            minvalue=minvalue, maxvalue=maxvalue):
         dlg.exec_()
 
 
-def view(obj, title=''):
+def view(obj=None, title=''):
     _app = qapplication()
-    if not title:
-        title = get_title(obj, depth=2)
-
-    if isinstance(obj, dict) and all(isinstance(o, la.LArray) for o in obj.values()):
+    if obj is None:
+        obj = la.local_arrays(depth=1)
+    elif isinstance(obj, dict) and \
+            all(isinstance(o, la.LArray) for o in obj.values()):
         obj = la.Session(obj)
 
+    if not title:
+        title = get_title(obj, depth=1)
+
     if isinstance(obj, la.Session):
         dlg = SessionEditor()
     else:
@@ -2049,10 +2083,11 @@ def compare(*args, **kwargs):
         dlg = ArrayComparator()
         default_name = 'array'
 
-    def get_name(i, obj):
-        names = find_names(obj, depth=4)
-        return names[0] if names else '%s %d' % (default_name, i)
-    names = [get_name(i, a) for i, a in enumerate(args)]
+    def get_name(i, obj, depth=0):
+        obj_names = find_names(obj, depth=depth + 1)
+        return obj_names[0] if obj_names else '%s %d' % (default_name, i)
+
+    names = [get_name(i, a, depth=1) for i, a in enumerate(args)]
     if dlg.setup_and_check(args, names=names, title=title):
         dlg.exec_()
 

From 3901ca0d3b13d7db9285b01e1631856d3d5be366 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 047/899] upgraded session viewer/editor to work like a
 super-calculator

optional ipython qtconsole integration (if installed) for history,
tab-completion, syntax highlightling, calltips, help using "?", etc...
---
 larray/viewer.py | 182 +++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 161 insertions(+), 21 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4eb57ac99..582fd27a2 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -71,6 +71,7 @@
 
 from itertools import chain
 import math
+import re
 import sys
 
 from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
@@ -106,6 +107,14 @@
 except ImportError:
     xw = None
 
+try:
+    from qtconsole.rich_jupyter_widget import RichJupyterWidget
+    from qtconsole.inprocess import QtInProcessKernelManager
+    qtconsole_present = True
+except ImportError:
+    qtconsole_present = False
+
+
 from larray.combo import FilterComboBox, FilterMenu
 import larray as la
 
@@ -1666,6 +1675,10 @@ def get_value(self):
         return self.data
 
 
+statement_pattern = re.compile('.*[^=]=[^=].*')
+history_vars_pattern = re.compile('_i?\d+')
+
+
 class SessionEditor(QDialog):
     """Session Editor Dialog"""
     def __init__(self, parent=None):
@@ -1679,6 +1692,7 @@ def __init__(self, parent=None):
 
         self.data = None
         self.arraywidget = None
+        self.expressions = {}
 
     def setup_and_check(self, data, title='', readonly=False):
         """
@@ -1704,30 +1718,83 @@ def setup_and_check(self, data, title='', readonly=False):
         self._listwidget = QListWidget(self)
         self._listwidget.addItems(self.data.names)
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
+        self._listwidget.setMinimumWidth(45)
 
-        self.arraywidget = ArrayEditorWidget(self, data[0], readonly)
+        self.arraywidget = ArrayEditorWidget(self, la.zeros(1), readonly)
 
-        splitter = QSplitter(Qt.Horizontal)
-        splitter.addWidget(self._listwidget)
-        splitter.addWidget(self.arraywidget)
-        splitter.setSizes([5, 95])
-        splitter.setCollapsible(1, False)
+        if qtconsole_present:
+            # Create an in-process kernel
+            kernel_manager = QtInProcessKernelManager()
+            kernel_manager.start_kernel(show_banner=False)
+            kernel = kernel_manager.kernel
+            kernel.gui = 'qt4'
 
-        layout.addWidget(splitter)
+            kernel.shell.run_cell('from larray import *')
+            kernel.shell.push(self.data._objects)
+            text_formatter = \
+                kernel.shell.display_formatter.formatters['text/plain']
+            text_formatter.for_type(la.LArray, self.view_expr)
 
-        # Buttons configuration
-        btn_layout = QHBoxLayout()
-        btn_layout.addStretch()
+            self.kernel = kernel
 
-        buttons = QDialogButtonBox.Ok
-        if not readonly:
-            buttons |= QDialogButtonBox.Cancel
-        bbox = QDialogButtonBox(buttons)
-        bbox.accepted.connect(self.accept)
-        if not readonly:
-            bbox.rejected.connect(self.reject)
-        btn_layout.addWidget(bbox)
-        layout.addLayout(btn_layout)
+            kernel_client = kernel_manager.client()
+            kernel_client.start_channels()
+
+            ipython_widget = RichJupyterWidget()
+            ipython_widget.kernel_manager = kernel_manager
+            ipython_widget.kernel_client = kernel_client
+            ipython_widget.executed.connect(self.ipython_cell_executed)
+            ipython_widget._display_banner = False
+
+            self.eval_box = ipython_widget
+            self.eval_box.setMinimumHeight(20)
+
+            right_panel_widget = QSplitter(Qt.Vertical)
+            right_panel_widget.addWidget(self.arraywidget)
+            right_panel_widget.addWidget(self.eval_box)
+            right_panel_widget.setSizes([90, 10])
+        else:
+            self.eval_box = QLineEdit()
+            self.eval_box.returnPressed.connect(self.line_edit_update)
+
+            right_panel_layout = QVBoxLayout()
+            right_panel_layout.addWidget(self.arraywidget)
+            right_panel_layout.addWidget(self.eval_box)
+
+            # you cant add a layout directly in a splitter, so we have to wrap
+            # it in a widget
+            right_panel_widget = QWidget()
+            right_panel_widget.setLayout(right_panel_layout)
+
+        main_splitter = QSplitter(Qt.Horizontal)
+        main_splitter.addWidget(self._listwidget)
+        main_splitter.addWidget(right_panel_widget)
+        main_splitter.setSizes([10, 90])
+        main_splitter.setCollapsible(1, False)
+
+        layout.addWidget(main_splitter)
+
+        # the problem is that the qlineedit (when ipython not present) does
+        # not eat the enter key, so it gets handled by the buttons below
+        # and this closes the window.
+        # FIXME: not having the buttons is a bit radical but I am out of time
+        #        for this.
+        if qtconsole_present:
+            # Buttons configuration
+            btn_layout = QHBoxLayout()
+            btn_layout.addStretch()
+
+            buttons = QDialogButtonBox.Ok
+            if not readonly:
+                buttons |= QDialogButtonBox.Cancel
+            bbox = QDialogButtonBox(buttons)
+            bbox.accepted.connect(self.accept)
+            if not readonly:
+                bbox.rejected.connect(self.reject)
+            btn_layout.addWidget(bbox)
+            layout.addLayout(btn_layout)
+
+        self._listwidget.setCurrentRow(0)
 
         self.resize(800, 600)
         self.setMinimumSize(400, 300)
@@ -1736,8 +1803,80 @@ def setup_and_check(self, data, title='', readonly=False):
         self.setWindowFlags(Qt.Window)
         return True
 
+    def update_session(self, value):
+        keys_before = set(self.data.keys())
+        keys_after = set(value.keys())
+        new_keys = list(keys_after - keys_before)
+        self._listwidget.addItems(new_keys)
+        # TODO: add support for deleting keys
+
+        # display only first result if there are more than one
+        changed_keys = [k for k in keys_before | keys_after
+                        if value.get(k) is not self.data.get(k)]
+        if len(changed_keys) > 1:
+            raise NotImplementedError("modifying more than one variable at "
+                                      "once is not supported yet")
+        if changed_keys:
+            # update session
+            for k in changed_keys:
+                self.data[k] = value[k]
+
+            to_display = changed_keys[0]
+
+            if not qtconsole_present:
+                self.expressions[to_display] = s
+
+            changed_items = self._listwidget.findItems(to_display,
+                                                       Qt.MatchExactly)
+            assert len(changed_items) == 1
+
+            prev_selected = self._listwidget.selectedItems()
+            assert len(prev_selected) <= 1
+            if prev_selected and prev_selected[0] == changed_items[0]:
+                # otherwise it's not updated in this case
+                self.arraywidget.set_data(self.data[to_display])
+            else:
+                self._listwidget.setCurrentItem(changed_items[0])
+
+    def line_edit_update(self):
+        s = self.eval_box.text()
+        if statement_pattern.match(s):
+            context = self.data._objects.copy()
+            exec(s, la.__dict__, context)
+            self.update_session(context)
+        else:
+            self.view_expr(eval(s, la.__dict__, self.data))
+
+    def view_expr(self, array, *args, **kwargs):
+        self._listwidget.clearSelection()
+        self.arraywidget.set_data(array)
+
+    def ipython_cell_executed(self):
+        user_ns = self.kernel.shell.user_ns
+        ip_keys = set(['In', 'Out', '_', '__', '___',
+                       '__builtin__', '__builtins__',
+                       '__doc__', '__loader__', '__name__', '__package__',
+                       '__spec__', '_dh',
+                       '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
+                       'exit', 'get_ipython', 'quit'])
+        ns_keys = set([k for k, v in user_ns.items()
+                       if not history_vars_pattern.match(k) and
+                          (isinstance(v, (la.LArray, np.ndarray)) or
+                           np.isscalar(v))]) - ip_keys
+        clean_ns = {k: v for k, v in user_ns.items() if k in ns_keys}
+        self.update_session(clean_ns)
+
     def on_item_changed(self, curr, prev):
-        self.arraywidget.set_data(self.data[str(curr.text())])
+        name = str(curr.text())
+        self.arraywidget.set_data(self.data[name])
+        expr = self.expressions.get(name, name)
+        if qtconsole_present:
+            # # does not update
+            # self.kernel.shell.set_next_input(expr, replace=True)
+            # self.kernel_client.input(expr)
+            pass
+        else:
+            self.eval_box.setText(expr)
 
     @Slot()
     def accept(self):
@@ -2160,7 +2299,8 @@ def get_name(i, obj, depth=0):
     arr5 = arr3.max(la.x.sex)
     arr6 = arr3.mean(la.x.sex)
     # view(la.stack((arr3, arr4), la.Axis('arrays', 'arr3,arr4')))
-    compare(arr3, arr4, arr5, arr6)
+    view()
+    # compare(arr3, arr4, arr5, arr6)
 
     # arr3 = la.ndrange((1000, 1000, 500))
     # print(arr3.nbytes * 1e-9 + 'Gb')

From bd3eb90712d77ebd084fac16b63dbc26ceaef3c0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 048/899] added support for using stack() without providing an
 axis

it is less useful that way, but there are good reasons to do it once in a while
---
 larray/core.py | 22 +++++++++++++++++-----
 1 file changed, 17 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a6dceacf7..72008f83b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5828,7 +5828,7 @@ def eye(rows, columns=None, k=0, dtype=None):
     return LArray(data, axes)
 
 
-def stack(arrays, axis):
+def stack(arrays, axis=None):
     """
     stack([numbirths * HMASC,
            numbirths * (1 - HMASC)], Axis('sex', 'H,F'))
@@ -5861,12 +5861,24 @@ def stack(arrays, axis):
     nat\\sex |   H |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
+
+    or without axis:
+
+    >>> stack((arr1, arr2))
+    nat\\{1}* |   0 |   1
+          BE | 1.0 | 0.0
+          FO | 1.0 | 0.0
+
     """
-    assert len(axis) == len(arrays)
-    result_axes = AxisCollection.union(*[get_axes(v) for v in arrays]) | axis
+    if axis is None:
+        axis = Axis(None, len(arrays))
+    else:
+        assert len(axis) == len(arrays)
+    result_axes = AxisCollection.union(*[get_axes(v) for v in arrays])
+    result_axes.append(axis)
     result = empty(result_axes, common_type(arrays))
-    for label, array in zip(axis, arrays):
-        result[label] = array
+    for i, array in enumerate(arrays):
+        result[axis.i[i]] = array
     return result
 
 

From c3642bf8bcbcd653e074f778e2ea8f3d7664e98e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 049/899] added Group.with_axis to return the same group with a
 different axis

---
 larray/core.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 72008f83b..d946e494a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1123,6 +1123,20 @@ def named(self, name):
         """
         return self.__class__(self.key, name, self.axis)
 
+    def with_axis(self, axis):
+        """Returns group with a different axis.
+
+        Parameters
+        ----------
+        axis : int, str, Axis
+            new axis for group
+
+        Returns
+        -------
+        Group
+        """
+        return self.__class__(self.key, self.name, axis)
+
 
 # TODO: factorize as much as possible between LGroup & PGroup (move stuff to
 #       Group)

From 315f0f68709a9014a122719bdf64bd97871f2e0b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 050/899] added __len__ on LArrayPositionalIndexer

---
 larray/core.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index d946e494a..0d3ab780a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2111,6 +2111,9 @@ def __getitem__(self, key):
     def __setitem__(self, key, value):
         self.array[self.translate_key(key)] = value
 
+    def __len__(self):
+        return len(self.array)
+
 
 class LArrayPointsIndexer(object):
     def __init__(self, array):

From ea4b44b57f4657c17117c3ce9f28ab5827bf3ba9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 051/899] better key type compatibility check: object should
 match any key type, not only strings or object

---
 larray/core.py | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 0d3ab780a..d75a4aa2b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -861,14 +861,17 @@ def __hash__(self):
         return id(self)
 
     def _is_key_type_compatible(self, key):
-        label_kind = self.labels.dtype.kind
         key_kind = np.dtype(type(key)).kind
+        label_kind = self.labels.dtype.kind
+        # on Python2, ascii-only unicode string can match byte strings (and
+        # vice versa), so we shouldn't be more picky here than dict hashing
         str_key = key_kind in ('S', 'U')
-        # on Python2, ascii-only unicode string can match byte strings,
-        # so we shouldn't be more picky here than dict hashing
-        allowed_str_kinds = ('O',) if PY3 else ('O', 'S', 'U')
-        str_match = str_key and label_kind in allowed_str_kinds
-        return key_kind == label_kind or str_match
+        str_label = label_kind in ('S', 'U')
+        py2_str_match = not PY3 and str_key and str_label
+        # object kind can match anything
+        return key_kind == label_kind or \
+               key_kind == 'O' or label_kind == 'O' or \
+               py2_str_match
 
     def translate(self, key, bool_passthrough=True):
         """

From 8452b994c88340b787bd01cfe91bd684c91d7b69 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 052/899] made LArray.as_table() return only Python native
 types

this is done by calling numpy's a.tolist() instead of list(a)
the goal is to improve compatibility with xlwings (eg writing an array to
a range) because xlwings only support Python builtin types and not numpy
scalars (outside of a numpy array)
---
 larray/core.py | 26 ++++++++++++++------------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index d75a4aa2b..bfa5e0a78 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3052,26 +3052,28 @@ def as_table(self, maxlines=None, edgeitems=5):
         if len(axes_names) > 1:
             axes_names[-2] = '\\'.join(axes_names[-2:])
             axes_names.pop()
-        labels = self.axes.labels[:-1]
+        labels = [axis.labels.tolist() for axis in self.axes[:-1]]
         if self.ndim == 1:
             # There is no vertical axis, so the axis name should not have
             # any "tick" below it and we add an empty "tick".
             ticks = [['']]
         else:
             ticks = product(*labels)
-        yield axes_names + list(self.axes.labels[-1])
-
+        yield axes_names + self.axes[-1].labels.tolist()
         # summary if needed
         if maxlines is not None and height > maxlines:
-            data = chain(data[:edgeitems], [["..."] * width], data[-edgeitems:])
-            if height > maxlines:
-                startticks = islice(ticks, edgeitems)
-                midticks = [["..."] * (self.ndim - 1)]
-                endticks = list(islice(rproduct(*labels), edgeitems))[::-1]
-                ticks = chain(startticks, midticks, endticks)
-
-        for tick, dataline in izip(ticks, data):
-            yield list(tick) + list(dataline)
+            startticks = islice(ticks, edgeitems)
+            midticks = [["..."] * (self.ndim - 1)]
+            endticks = list(islice(rproduct(*labels), edgeitems))[::-1]
+            ticks = chain(startticks, midticks, endticks)
+            data = chain(data[:edgeitems].tolist(),
+                         [["..."] * width],
+                         data[-edgeitems:].tolist())
+            for tick, dataline in izip(ticks, data):
+                yield list(tick) + dataline
+        else:
+            for tick, dataline in izip(ticks, data):
+                yield list(tick) + dataline.tolist()
 
     def dump(self, header=True):
         """dump array as a 2D nested list

From ebcb488d485efdf92adfddd52f774a7aefcbf032 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 053/899] made cumsum and cumprod work with the last axis by
 default

the goal is mostly to be able to not specify the axis when there is only one
---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index bfa5e0a78..24cdbf890 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3822,10 +3822,10 @@ def percentile(self, q, *args, **kwargs):
     std = _agg_method(np.std, np.nanstd)
 
     # cumulative aggregates
-    def cumsum(self, axis):
+    def cumsum(self, axis=-1):
         return self._cum_aggregate(np.cumsum, axis)
 
-    def cumprod(self, axis):
+    def cumprod(self, axis=-1):
         return self._cum_aggregate(np.cumprod, axis)
 
     # element-wise method factory

From e572a3015c2fde6c1a751ff39b3a4dac84133831 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 054/899] made create_sequential a lot faster when mult or inc
 are constants made create_sequential work better when mult, inc and initial
 are of different types

eg create_sequential(..., initial=1, inc=0.1) had an unexpected integer
result because it always used the type of initial for the output
---
 larray/core.py | 85 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 81 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 24cdbf890..db7a397a8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5503,7 +5503,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
     mult : scalar, LArray, optional
         value to multiply the previous value by. Defaults to 1.
     func : function/callable, optional
-        function to apply to the previous value. Defaults to None.
+        function to apply to the previous value. Defaults to None. Note that
+        this is much slower than using inc and/or mult.
     axes : int, tuple of int or tuple/list/AxisCollection of Axis, optional
         axes of the result. Defaults to the union of axes present in other
         arguments.
@@ -5576,6 +5577,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
         inc = 1 if mult is 1 else 0
     if isinstance(axis, int):
         axis = Axis(None, axis)
+    elif isinstance(axis, Group):
+        axis = Axis(axis.axis.name, list(axis))
     if axes is None:
         def strip_axes(col):
             return get_axes(col) - axis
@@ -5584,13 +5587,40 @@ def strip_axes(col):
     else:
         axes = AxisCollection(axes)
     axis = axes[axis]
-    # FIXME: we should compute combined dtype for inital, inc, mult
-    res = empty(axes, dtype=np.asarray(initial).dtype)
+    res_dtype = np.dtype(common_type((initial, inc, mult)))
+    res = empty(axes, dtype=res_dtype)
     res[axis.i[0]] = initial
+    def has_axis(a, axis):
+        return isinstance(a, LArray) and axis in a.axes
     if func is not None:
         for i in range(1, len(axis)):
             res[axis.i[i]] = func(res[axis.i[i - 1]])
-    else:
+    elif has_axis(inc, axis) and has_axis(mult, axis):
+        # This case is more complicated to vectorize. It seems
+        # doable (probably by adding a fictive axis), but let us wait until
+        # someone requests it. The trick is to be able to write this:
+        # a[i] = initial * prod(mult[j]) + inc[1] * prod(mult[j]) + ...
+        #                 j=1..i                    j=2..i
+        #      + inc[i-2] * prod(mult[j]) + inc[i-1] * mult[i] + inc[i]
+        #                 j=i-1..i
+
+        # a[0] = initial
+        # a[1] = initial * mult[1]
+        #      + inc[1]
+        # a[2] = initial * mult[1] * mult[2]
+        #      + inc[1] * mult[2]
+        #      + inc[2]
+        # a[3] = initial * mult[1] * mult[2] * mult[3]
+        #      + inc[1] * mult[2] * mult[3]
+        #      + inc[2]           * mult[3]
+        #      + inc[3]
+        # a[4] = initial * mult[1] * mult[2] * mult[3] * mult[4]
+        #      + inc[1] * mult[2] * mult[3] * mult[4]
+        #      + inc[2]           * mult[3] * mult[4]
+        #      + inc[3]                     * mult[4]
+        #      + inc[4]
+
+        # a[1:] = initial * cumprod(mult[1:]) + ...
         def index_if_exists(a, axis, i):
             if isinstance(a, LArray) and axis in a.axes:
                 a_axis = a.axes[axis]
@@ -5601,6 +5631,53 @@ def index_if_exists(a, axis, i):
             i_mult = index_if_exists(mult, axis, i)
             i_inc = index_if_exists(inc, axis, i)
             res[axis.i[i]] = res[axis.i[i - 1]] * i_mult + i_inc
+    else:
+        # TODO: use cumprod and cumsum to avoid the explicit loop
+        # it is easy for constant inc OR constant mult.
+        # it is easy for array inc OR array mult.
+        # it is a bit more complicated for constant inc AND constant mult
+        #
+        # it gets hairy for array inc AND array mult. It seems doable but let us
+        #    wait until someone requests it.
+        def array_or_full(a, axis, initial):
+            dt = common_type((a, initial))
+            r = empty((get_axes(a) - axis) | axis, dtype=dt)
+            r[axis.i[0]] = initial
+            if isinstance(a, LArray) and axis in a.axes:
+                # not using axis.i[1:] because a could have less ticks
+                # on axis than axis
+                r[axis.i[1:]] = a[axis[axis.labels[1]:]]
+            else:
+                r[axis.i[1:]] = a
+            return r
+
+        # inc only (integer scalar)
+        if np.isscalar(mult) and mult == 1 and np.isscalar(inc) and \
+                res_dtype.kind == 'i':
+            # stop is not included
+            stop = initial + inc * len(axis)
+            data = np.arange(initial, stop, inc)
+            res[:] = LArray(data, axis)
+        # inc only (other scalar)
+        elif np.isscalar(mult) and mult == 1 and np.isscalar(inc):
+            # stop is included
+            stop = initial + inc * (len(axis) - 1)
+            data = np.linspace(initial, stop=stop, num=len(axis))
+            res[:] = LArray(data, axis)
+        # inc only (array)
+        elif np.isscalar(mult) and mult == 1:
+            inc_array = array_or_full(inc, axis, initial)
+            res[axis.i[1:]] = inc_array.cumsum(axis)[axis.i[1:]]
+        # mult only (scalar or array)
+        elif np.isscalar(inc) and inc == 0:
+            mult_array = array_or_full(mult, axis, initial)
+            res[axis.i[1:]] = mult_array.cumprod(axis)[axis.i[1:]]
+        # both inc and mult defined but scalars or axis not present
+        else:
+            mult_array = array_or_full(mult, axis, 1.0)
+            cum_mult = mult_array.cumprod(axis)[axis.i[1:]]
+            res[axis.i[1:]] = \
+                ((1 - cum_mult) / (1 - mult)) * inc + initial * cum_mult
     return res
 
 

From 348f93176093f660902413c9709d53a088dc1f00 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 055/899] added aslarray() top-level function to translate
 anything into an LArray if it is not already one

this includes checking if the object has a __larray__ method and calling it
if it has
---
 larray/core.py | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index db7a397a8..6f7197d46 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -12,7 +12,7 @@
     'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
     'identity', 'diag', 'eye',
-    'larray_equal',
+    'larray_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
     'ptp', 'var', 'std', 'median', 'percentile',
     '__version__'
@@ -2169,6 +2169,17 @@ def get_axis(obj, i):
     return obj.axes[i] if isinstance(obj, LArray) else Axis(None, obj.shape[i])
 
 
+def aslarray(a):
+    if isinstance(a, LArray):
+        return a
+    elif hasattr(a, '__larray__'):
+        return a.__larray__()
+    elif isinstance(a, pd.DataFrame):
+        return df_aslarray(a)
+    else:
+        return LArray(a)
+
+
 class LArray(object):
     """
     LArray class

From 81f339aa4b037ed34da6cad4e4232bd3c4dbed67 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 056/899] try to pass anything we don't know about (ie not
 LArray/ndarray/scalar) through aslarray in binops

---
 larray/core.py | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6f7197d46..e8adf0aca 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3850,18 +3850,21 @@ def opmethod(self, other):
             if isinstance(other, ExprNode):
                 other = other.evaluate(self.axes)
 
+            # we could pass scalars through aslarray too but it is too costly
+            # performance-wise for only suppressing one isscalar test and an
+            # if statement.
+            # TODO: ndarray should probably be converted to larrays because
+            # that would harmonize broadcasting rules, but it makes some
+            # tests fail for some reason.
+            if not isinstance(other, (LArray, np.ndarray)) and \
+                    not np.isscalar(other):
+                other = aslarray(other)
+
             if isinstance(other, LArray):
                 # TODO: first test if it is not already broadcastable
                 (self, other), res_axes = \
                     make_numpy_broadcastable([self, other])
                 other = other.data
-            elif isinstance(other, np.ndarray):
-                pass
-            elif other is None:
-                return False
-            elif not np.isscalar(other):
-                raise TypeError("unsupported operand type(s) for %s: '%s' "
-                                "and '%s'" % (opname, type(self), type(other)))
             return LArray(super_method(self.data, other), res_axes)
         opmethod.__name__ = fullname
         return opmethod

From 89969527a515c05f57dd085962386c2862e1904f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 057/899] implement Axis.__larray__ so that LArray > axis works

---
 larray/core.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index e8adf0aca..ffc4839fd 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1021,6 +1021,9 @@ def opmethod(self, other):
     __ror__ = _binop('ror')
     __matmul__ = _binop('matmul')
 
+    def __larray__(self):
+        return labels_array(self)
+
     def copy(self):
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.

From c4acc8258a5b3d5cf094dddb9f21234e2cecef32 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 058/899] tiny perf improvement

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index ffc4839fd..c8ac3eeb4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1228,7 +1228,7 @@ def __init__(self, axes=None):
         """
         if axes is None:
             axes = []
-        if isinstance(axes, (int, long, str, Axis)):
+        elif isinstance(axes, (int, long, str, Axis)):
             axes = [axes]
         axes = [axis if isinstance(axis, Axis) else Axis(None, axis)
                 for axis in axes]

From e341cea44853f36c3e63db61fe787d0dd8d06c00 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 059/899] fix typo

---
 larray/core.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index c8ac3eeb4..96837ccf8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1236,8 +1236,9 @@ def __init__(self, axes=None):
         dupe_axes = list(duplicates(axes))
         if dupe_axes:
             axis = dupe_axes[0]
-            raise ValueError("Cannot have multiple occurences of the same axis "
-                             "object in a collection ('%s' -- %s with id %d). "
+            raise ValueError("Cannot have multiple occurrences of the same "
+                             "axis object in a collection "
+                             "('%s' -- %s with id %d). "
                              "Several axes with the same name are allowed "
                              "though (but not recommended)."
                              % (axis.name, axis.labels_summary(), id(axis)))

From d58868c8c8335404f10a6b7ca98b5e302b5af10f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 060/899] minor perf improvement (do not compare labels of
 wildcard axes)

---
 larray/core.py | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 96837ccf8..f5bba2d6c 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -838,9 +838,13 @@ def iscompatible(self, other):
     def equals(self, other):
         if self is other:
             return True
-        return (isinstance(other, Axis) and self.name == other.name and
-                self.iswildcard == other.iswildcard and
-                np.array_equal(self.labels, other.labels))
+
+        # this might need to change if we ever support wildcard axes with
+        # real labels
+        return isinstance(other, Axis) and self.name == other.name and \
+               self.iswildcard == other.iswildcard and \
+               (len(self) == len(other) if self.iswildcard else
+                    np.array_equal(self.labels, other.labels))
 
     def __len__(self):
         return self._length

From bb0214e958e42906843655e376012b38f83a1ee1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 061/899] streamlined key translation chain

this makes the code cleaner, a tad faster and use the "saner" error
messages in more cases (ie the explicit tests are used in more situation
---
 larray/core.py | 141 +++++++++++++++++++++++++++++++------------------
 1 file changed, 90 insertions(+), 51 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f5bba2d6c..cfdb8f9d0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2480,9 +2480,44 @@ def sort_key(axis):
         return self[tuple(sort_key(axis) for axis in axes)]
 
     def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
+        """
+        Parameters
+        ----------
+        axis_key : any kind of key
+        bool_passthrough
+
+        Returns
+        -------
+        PGroup with valid axis (from self.axes)
+        """
+
         if isinstance(axis_key, Group):
+            axis = axis_key.axis
+            # we have axis information but not necessarily an Axis object
+            # from self.axes
+            if axis is not None:
+                real_axis = self.axes[axis]
+                if axis is not real_axis:
+                    axis_key = axis_key.with_axis(real_axis)
+
+        # already positional
+        if isinstance(axis_key, PGroup):
+            if axis is None:
+                raise ValueError("positional groups without axis are not "
+                                 "supported")
             return axis_key
 
+        # labels but known axis
+        if isinstance(axis_key, LGroup) and axis_key.axis is not None:
+            axis = axis_key.axis
+            try:
+                axis_pos_key = axis.translate(axis_key, bool_passthrough)
+            except KeyError:
+                raise ValueError("%s is not a valid label for any axis"
+                                 % axis_key)
+            return axis.i[axis_pos_key]
+
+        # otherwise we need to guess the axis
         # TODO: instead of checking all axes, we should have a big mapping
         # (in AxisCollection or LArray):
         # label -> (axis, index)
@@ -2506,9 +2541,18 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         return valid_axes[0].i[axis_pos_key]
 
     def _translate_axis_key(self, axis_key, bool_passthrough=True):
+        """same as chunk
+
+        Returns
+        -------
+        PGroup with valid axis (from self.axes)
+        """
+        # TODO: do it for Group without axis too
         # TODO: do it for LArray key too (but using .i[] instead)
         if isinstance(axis_key, (tuple, list, np.ndarray)):
             axis = None
+            # TODO: I should actually do some benchmarks to see if this is
+            #       useful, and estimate which numbers to use
             for size in (1, 10, 100, 1000):
                 # TODO: do not recheck already checked elements
                 key_chunk = axis_key[:size]
@@ -2519,6 +2563,7 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
                     break
                 except ValueError:
                     continue
+            # the (start of the) key match a single axis
             if axis is not None:
                 # make sure we have an Axis object
                 axis = self.axes[axis]
@@ -2614,60 +2659,47 @@ def translated_key(self, key, bool_stuff=False):
             key = (key,)
 
         if isinstance(key, tuple):
-            # handle keys containing an Ellipsis
-            # cannot use key.count(Ellipsis) because that calls == on each
-            # element and this breaks if there are ndarrays/LArrays in there.
-            num_ellipses = sum(isinstance(k, type(Ellipsis)) for k in key)
-            if num_ellipses > 1:
-                raise ValueError("cannot use more than one Ellipsis (...)")
-            elif num_ellipses == 1:
-                # XXX: we might want to just ignore them, since their
-                # position do not matter anymore (guess axis)
-                pos = key.index(Ellipsis)
-                none_slices = (slice(None),) * (self.ndim - len(key) + 1)
-                key = key[:pos] + none_slices + key[pos + 1:]
-
-            # translate non LKey to PGroup and drop slice(None) since
-            # they are meaningless at this point
-            # XXX: we might want to raise an exception when we find (most)
-            # slice(None) because except for a single slice(None) a[:], I don't
-            # think there is any point.
-            key = tuple(
-                self._translate_axis_key(axis_key,
-                                         bool_passthrough=not bool_stuff)
-                for axis_key in key if not isnoneslice(axis_key))
-
-            assert all(isinstance(axis_key, Group) for axis_key in key)
-
-            # handle keys containing LGroups (at potentially wrong places)
-
-            # XXX:
-            # Q: support LGroup without axis?
-            # A: we should support them, but that should be done before.
-            #    at this point they should all have an axis (not necessarily
-            #    valid though)
+            # drop slice(None) and Ellipsis since they are meaningless because
+            # of guess_axis.
+            # XXX: we might want to raise an exception when we find Ellipses
+            # or (most) slice(None) because except for a single slice(None)
+            # a[:], I don't think there is any point.
+            key = [axis_key for axis_key in key
+                   if not isnoneslice(axis_key) and axis_key is not Ellipsis]
 
-            # extract axis from Group keys
-            dupe_axes = list(duplicates(axis_key.axis for axis_key in key))
-            if dupe_axes:
-                dupe_axes = ', '.join(str(axis) for axis in dupe_axes)
-                raise ValueError("key with duplicate axis: %s" % dupe_axes)
+            # translate all keys to PGroup
+            key = [self._translate_axis_key(axis_key,
+                                            bool_passthrough=not bool_stuff)
+                   for axis_key in key]
 
-            key = dict((axis_key.axis, axis_key) for axis_key in key)
+            assert all(isinstance(axis_key, PGroup) for axis_key in key)
 
-        # keys could be strings or axis references and we want real axes
-        key = {self.axes[k]: v for k, v in key.items()}
+            # extract axis from Group keys
+            key_items = [(k.axis, k) for k in key]
+        else:
+            # key axes could be strings or axis references and we want real axes
+            key_items = [(self.axes[k], v) for k, v in key.items()]
+            # TODO: use _translate_axis_key (to translate to PGroup here too)
+            # key_items = [axis.translate(axis_key,
+            #                             bool_passthrough=not bool_stuff)
+            #              for axis, axis_key in key_items]
+
+        # even keys given as dict can contain duplicates (if the same axis was
+        # given under different forms, e.g. name and AxisReference).
+        dupe_axes = list(duplicates(axis for axis, axis_key in key_items))
+        if dupe_axes:
+            dupe_axes = ', '.join(str(axis) for axis in dupe_axes)
+            raise ValueError("key has several values for axis: %s"
+                             % dupe_axes)
+
+        key = dict(key_items)
 
         # dict -> tuple (complete and order key)
-        assert isinstance(key, dict) and all(isinstance(k, Axis) for k in key)
-        # XXX: probably useless (due to new code above)
-        for axis in key:
-            if axis not in self.axes:
-                raise KeyError("{} is not a valid axis".format(repr(axis)))
-        key = tuple(key[axis] if axis in key else slice(None)
-                    for axis in self.axes)
-
-        # label -> raw positional
+        assert all(isinstance(k, Axis) for k in key)
+        key = [key[axis] if axis in key else slice(None)
+               for axis in self.axes]
+
+        # pgroup -> raw positional
         return tuple(axis.translate(axis_key, bool_passthrough=not bool_stuff)
                      for axis, axis_key in zip(self.axes, key))
 
@@ -3309,9 +3341,15 @@ def to_labelgroup(key):
                 key = to_keys(key)
             if isinstance(key, tuple):
                 # a tuple is supposed to be several groups on the same axis
-                # XXX: we might want to use self._translate_axis_key directly
+                # TODO: it would be better to use
+                # self._translate_axis_key directly
                 # (so that we do not need to do the label -> position
-                #  translation twice)
+                #  translation twice) but this fails because the groups are
+                # also used as ticks on the new axis, and pgroups are not the
+                # same that LGroups in this regard (I wonder if
+                # ideally it shouldn't be the same???)
+                # groups = tuple(self._translate_axis_key(k)
+                #                for k in key)
                 groups = tuple(self._guess_axis(k) for k in key)
                 axis = groups[0].axis
                 if not all(g.axis.equals(axis) for g in groups[1:]):
@@ -3804,6 +3842,7 @@ def method(self, *args, **kwargs):
                 skipna = nanfunc is not None
             if skipna and nanfunc is None:
                 raise ValueError("skipna is not available for %s" % name)
+            # func = npfunc
             func = nanfunc if skipna else npfunc
             return self._aggregate(func, args, kwargs,
                                    keepaxes=keepaxes,

From 3266a79d9b734e19706a17467fe922ede6423336 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 062/899] improved Excel file handling via open_excel() *
 better support for 1D arrays (ranges with height 1 or width 1) * try to
 convert float to int also when converting to array implicitly (via
 __array__), such as when doing a[:] = sheet['...'] * added support for
 specifying nb_index/index_col manually

---
 larray/excel.py | 70 +++++++++++++++++++++++++++++++++----------------
 1 file changed, 48 insertions(+), 22 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index cd0e02ad1..696986b6a 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -149,8 +149,9 @@ def __dir__(self):
     def __getattr__(self, key):
         return getattr(self.xw_sheet, key)
 
-    def load(self, header=True):
-        return self[:].load(header=header)
+    def load(self, header=True, nb_index=0, index_col=None):
+        return self[:].load(header=header, nb_index=nb_index,
+                            index_col=index_col)
 
     # TODO: generalize to more than 2 dimensions or scrap it
     def array(self, data, row_labels=None, column_labels=None, names=None):
@@ -207,8 +208,31 @@ def __getitem__(self, key):
     def __setitem__(self, key, value):
         self.sheet[self._range_key_to_sheet_key(key)] = value
 
+    def _converted_value(self, convert_float=True):
+        list_data = self.xw_range.value
+
+        # As of version 0.7.2 of xlwings, there is no built-in converter for
+        # this. The builtin .options(numbers=int) converter converts all
+        # values to int, whether that would loose information or not, but this
+        # is not what we want.
+        if convert_float:
+            # Excel 'numbers' are always floats
+            def convert(value):
+                if isinstance(value, float):
+                    int_val = int(value)
+                    if int_val == value:
+                        return int_val
+                return value
+            if self.ndim == 1:
+                list_data = [convert(v) for v in list_data]
+            elif self.ndim == 2:
+                list_data = [[convert(v) for v in line] for line in list_data]
+            else:
+                raise ValueError("invalid ndim: %d" % self.ndim)
+        return list_data
+
     def __array__(self, dtype=None):
-        return np.array(self.xw_range.value, dtype=dtype)
+        return np.array(self._converted_value(), dtype=dtype)
 
     def __larray__(self):
         return LArray(np.array(self.xw_range.value))
@@ -231,19 +255,13 @@ def __setattr__(self, key, value):
 
     def __str__(self):
         return str(self.__larray__())
+    __repr__ = __str__
 
-    def load(self, header=True, convert_float=True):
-        list_data = self.xw_range.value
-        if convert_float:
-            # Excel 'numbers' are always floats
-            def convert(value):
-                if isinstance(value, float):
-                    int_val = int(value)
-                    if int_val == value:
-                        return int_val
-                return value
+    def load(self, header=True, convert_float=True, nb_index=0, index_col=None):
+        if index_col is None and nb_index > 0:
+            index_col = list(range(nb_index))
 
-            list_data = [[convert(v) for v in line] for line in list_data]
+        list_data = self._converted_value(convert_float=convert_float)
 
         if header:
             # TODO: try getting values via self[1:] instead of via the
@@ -266,15 +284,23 @@ def convert(value):
                              for name in axes_names[-1].split('\\')]
                 axes_names = axes_names[:-1] + last_axes
 
-            nb_index = len(axes_names) - 1
-            index_col = list(range(nb_index))
-
-            if nb_index == 0:
-                nb_index = 1
-            data = np.array([line[nb_index:] for line in list_data[1:]])
-            axes_labels = [list(unique([line[i] for line in list_data[1:]]))
+            # this can only happen if both nb_index=0 and index_col is None
+            # XXX: we might want to have nb_index default to None instead of
+            #      0 so that we can force "no index at all"
+            if index_col is None:
+                nb_index = len(axes_names) - 1
+                index_col = list(range(nb_index))
+            assert isinstance(index_col, list)
+            # at this point index_col should be a list but it could be empty
+            col_offset = (max(index_col) + 1) if index_col else 1
+            # number of header lines or comment lines at the start of the file
+            # TODO: we need to support comments & more
+            row_offset = 1
+            data_no_header = list_data[row_offset:]
+            data = np.array([line[col_offset:] for line in data_no_header])
+            axes_labels = [list(unique([line[i] for line in data_no_header]))
                            for i in index_col]
-            axes_labels.append(header_line[nb_index:])
+            axes_labels.append(header_line[col_offset:])
             # TODO: detect anonymous axes
             axes = [Axis(name, labels)
                     for name, labels in zip(axes_names, axes_labels)]

From d9e45d50106654d95d81d94d105a3d03ef31a61e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 063/899] moved open_excel logic to Workbook.__init__

---
 larray/excel.py | 87 ++++++++++++++++++++++++++++---------------------
 1 file changed, 50 insertions(+), 37 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 696986b6a..6b9d26b8a 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -32,16 +32,56 @@ def write_value(cls, value, options):
 
 
 class Workbook(object):
-    def __init__(self, *args, **kwargs):
-        xw_wkb = kwargs.pop('xw_wkb', None)
-        if xw_wkb is None:
+    def __init__(self, filepath, *args, **kwargs):
+        """
+        Parameters
+        ----------
+        filepath : None, int or str
+            use None for a new blank workbook, -1 for the last active workbook
+        args
+        kwargs
+        """
+        # in many cases, it would be better to open a new Excel instance but
+        # xlwings does not support that currently (it uses Dispatch instead
+        # of DispatchEx).
+        # See: https://github.com/ZoomerAnalytics/xlwings/issues/335
+        if filepath is None:
+            # creates a new/blank Workbook
+            if 'app_visible' not in kwargs:
+                kwargs['app_visible'] = True
+            self.was_open = False
             xw_wkb = xw.Workbook(*args, **kwargs)
+        elif filepath == -1:
+            # not really True, but in this case close() should really close
+            self.was_open = False
+            xw_wkb = xw.Workbook.active()
+        else:
+            basename, ext = os.path.splitext(filepath)
+            if ext:
+                # XXX: we might want to be more precise than .xl* because
+                #      I am unsure writing .xls (or anything other than .xlsx
+                #      and .xlsm) would work
+                if not ext.startswith('.xl'):
+                    raise ValueError("'%s' is not a supported file "
+                                     "extension" % ext)
+
+                # This is necessary because otherwise we cannot open/save to
+                # a workbook in the current directory without giving the
+                # full/absolute path. By doing this, we basically loose the
+                # ability to target an already open workbook *of a saved
+                # file* not in the current directory without using its
+                # path. I can live with that restriction though because you
+                # usually either work with relative paths or with the
+                # currently active workbook.
+                filepath = os.path.abspath(filepath)
+            if 'app_visible' not in kwargs:
+                kwargs['app_visible'] = None
+            self.was_open = xw.xlplatform.is_file_open(filepath)
+            xw_wkb = xw.Workbook(filepath, *args, **kwargs)
+            # if os.path.isfile(filepath) and overwrite_file:
+            #     os.remove(filepath)
         self.xw_wkb = xw_wkb
 
-    @classmethod
-    def active(cls):
-        return Workbook(xw_wkb=xw.Workbook.active())
-
     def _concrete_key(self, key):
         if isinstance(key, int):
             if key < 0:
@@ -310,33 +350,6 @@ def load(self, header=True, convert_float=True, nb_index=0, index_col=None):
             return LArray(list_data)
 
 
-def open_excel(filepath=None):
-    if filepath == -1:
-        return Workbook.active()
-    elif filepath is None:
-        # creates a new/blank Workbook
-        return Workbook(app_visible=True)
-    else:
-        basename, ext = os.path.splitext(filepath)
-        if ext:
-            # XXX: we might want to be more precise than .xl* because
-            #      I am unsure writing anything else than .xlsx will
-            #      work as intended
-            if not ext.startswith('.xl'):
-                raise ValueError("'%s' is not a supported file "
-                                 "extension" % ext)
-
-            # This is necessary because otherwise we cannot open/save to
-            # a workbook in the current directory without giving the
-            # full/absolute path. By doing this, we basically loose the
-            # ability to target an already open workbook *of a saved
-            # file* not in the current directory without using its
-            # path. I can live with that restriction though because you
-            # usually either work with relative paths or with the
-            # currently active workbook.
-            filepath = os.path.abspath(filepath)
-            # save = True
-            # close = not xw.xlplatform.is_file_open(filepath)
-            # if os.path.isfile(filepath) and overwrite_file:
-            #     os.remove(filepath)
-        return Workbook(filepath, app_visible=None)
+# XXX: remove this function?
+def open_excel(filepath=None, **kwargs):
+    return Workbook(filepath, **kwargs)
\ No newline at end of file

From c2b65a967a479f434dbd7a800ed282636a2c60ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 064/899] * wb.close() only really close if the workbook was
 not already open in Excel when open_excel was called (so that we do not close
 a workbook a user is actually viewing). * added support for
 wb.save(relative_path). In other words, use current path as base instead of
 the user Documents directory.

---
 larray/excel.py | 55 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 6b9d26b8a..2ad9ff862 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -31,6 +31,11 @@ def write_value(cls, value, options):
     LArrayConverter.register(LArray)
 
 
+class ClosedBook(object):
+    def __getattribute__(self, key):
+        raise AttributeError("workbook is closed")
+
+
 class Workbook(object):
     def __init__(self, filepath, *args, **kwargs):
         """
@@ -113,6 +118,56 @@ def __setitem__(self, key, value):
     def sheet_names(self):
         return [s.name for s in self]
 
+    def save(self, path=None):
+        """
+        Saves the Workbook. If a path is being provided, this works like
+        SaveAs() in Excel. If no path is specified and if the file hasn't been
+        saved previously, it's being saved in the current working directory
+        with the current filename. Existing files are overwritten without
+        prompting.
+
+        Arguments
+        ---------
+        path : str, default None
+            path to the workbook
+
+        Example
+        -------
+        >>> wb = open_excel()
+        >>> wb.save()
+        >>> # wb.save("c:/path/to/new_file_name.xlsx")
+        >>> wb.close()
+        """
+        if path is not None:
+            path = os.path.abspath(path)
+        self.xw_wkb.save(path)
+
+    def close(self, force=False):
+        """
+        Close the current connection to the Workbook. If the workbook was
+        not already open in Excel when this connection was created, it is
+        closed in Excel, otherwise it is left open in Excel unless `force` is
+        used. In the case the workbook is left open in Excel, the connection
+        to it becomes non functional.
+
+        Parameters
+        ----------
+        force : bool, optional
+            whether or not to force closing the workbook in Excel,
+            in addition to our connection to it. If not provided,
+            the workbook is closed in excel only if it was not open before
+            this python connection to it was created.
+        """
+        if not self.was_open or force:
+            self.xw_wkb.close()
+
+        # not using None, because that is the default value for xlwings,
+        # and means that this Workbook object would remain functional (but
+        # possibly pointing at another file!) if there is any Excel file
+        # left open.
+        self.xw_wkb = ClosedBook()
+        self.was_open = False
+
     def __iter__(self):
         xw_sheets = xw.Sheet.all(self.xw_wkb)
         return iter([Sheet(None, None, xw_sheet) for xw_sheet in xw_sheets])

From 66a5459c4091d5c8ac37ac14ed48df54d975c268 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 065/899] added support for copying sheets via: wb['x'] =
 wb['y] if a sheet 'x' already exists, it is completely overwritten

---
 larray/excel.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 2ad9ff862..4f62e58d8 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -106,6 +106,18 @@ def __getitem__(self, key):
         return Sheet(self, key)
 
     def __setitem__(self, key, value):
+        if isinstance(value, Sheet):
+            if key in self:
+                xw_sheet = self[key].xw_sheet
+                # avoid having the sheet name renamed to "name (1)"
+                xw_sheet.name = '__tmp__'
+                # add new sheet before sheet to overwrite
+                value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+                xw_sheet.delete()
+            else:
+                xw_sheet = self[-1]
+                value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+            return
         if key in self:
             key = self._concrete_key(key)
             sheet = Sheet(self, key)

From abb5b14b4d6b955ddfb8ee345c225f6b37ef5c8b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 066/899] * implemented edit(Session) * edit() is equivalent to
 edit(local_arrays())

---
 larray/viewer.py | 21 ++++++++++++++++-----
 1 file changed, 16 insertions(+), 5 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 582fd27a2..9f2ce66b8 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1694,7 +1694,8 @@ def __init__(self, parent=None):
         self.arraywidget = None
         self.expressions = {}
 
-    def setup_and_check(self, data, title='', readonly=False):
+    def setup_and_check(self, data, title='', readonly=False,
+                        minvalue=None, maxvalue=None):
         """
         Setup SessionEditor:
         return False if data is not supported, True otherwise
@@ -2183,12 +2184,22 @@ def get_title(obj, depth=0, maxnames=3):
     return ', '.join(names)
 
 
-def edit(array, title='', minvalue=None, maxvalue=None):
+def edit(obj=None, title='', minvalue=None, maxvalue=None):
     _app = qapplication()
+    if obj is None:
+        obj = la.local_arrays(depth=1)
+    elif isinstance(obj, dict) and \
+            all(isinstance(o, la.LArray) for o in obj.values()):
+        obj = la.Session(obj)
+
     if not title:
-        title = get_title(array, depth=1)
-    dlg = ArrayEditor()
-    if dlg.setup_and_check(array, title=title,
+        title = get_title(obj, depth=1)
+
+    if isinstance(obj, la.Session):
+        dlg = SessionEditor()
+    else:
+        dlg = ArrayEditor()
+    if dlg.setup_and_check(obj, title=title,
                            minvalue=minvalue, maxvalue=maxvalue):
         dlg.exec_()
 

From 7e14a5c053b62e5f267a19b7bab48cf61cc3531b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 067/899] changed viewer test

---
 larray/viewer.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9f2ce66b8..fee01a057 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2309,8 +2309,17 @@ def get_name(i, obj, depth=0):
     arr4 = arr3.min(la.x.sex)
     arr5 = arr3.max(la.x.sex)
     arr6 = arr3.mean(la.x.sex)
+
+    # compare(arr3, arr4, arr5, arr6)
+
     # view(la.stack((arr3, arr4), la.Axis('arrays', 'arr3,arr4')))
-    view()
+    edit()
+
+    # s = la.local_arrays()
+    # edit(s)
+    # s.dump('x.h5')
+    # view(la.Session('x.h5'))
+
     # compare(arr3, arr4, arr5, arr6)
 
     # arr3 = la.ndrange((1000, 1000, 500))

From cfcd0e6cdf5f1940af84bd18e255191d45630177 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 5 Aug 2016 13:41:22 +0200
Subject: [PATCH 068/899] uses unittest.TestCase.assertRaises as a context
 manager

it makes the failing code nicer/easier to read
---
 larray/tests/test_la.py | 31 ++++++++++++++++++-------------
 1 file changed, 18 insertions(+), 13 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 2059677a7..22d0854a3 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -84,8 +84,10 @@ def test_range(self):
         # this would break for string values (because '10' < '2')
         self.assertEqual(to_ticks('0:115'), srange(116))
         self.assertEqual(to_ticks(':115'), srange(116))
-        self.assertRaises(ValueError, to_ticks, '10:')
-        self.assertRaises(ValueError, to_ticks, ':')
+        with self.assertRaises(ValueError):
+            to_ticks('10:')
+        with self.assertRaises(ValueError):
+            to_ticks(':')
 
 
 class TestKeyStrings(TestCase):
@@ -606,9 +608,8 @@ def test_add(self):
         # c) with incompatible dupe
         # XXX: the "new" age axis is ignored. We might want to ignore it if it
         #  is the same but raise an exception if it is different
-        # new = col + [Axis('geo', 'A11,A12,A13'), Axis('age', ':6')]
-        self.assertRaises(ValueError, col.__add__,
-                          [Axis('geo', 'A11,A12,A13'), Axis('age', ':6')])
+        with self.assertRaises(ValueError):
+            col + [Axis('geo', 'A11,A12,A13'), Axis('age', ':6')]
 
         # 2) other AxisCollection
         new = col + AxisCollection([geo, value])
@@ -916,8 +917,9 @@ def test_getitem_positional_group(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        # la[[1, 5, 9], age['1,5,9']]
-        self.assertRaises(ValueError, la.__getitem__, ([1, 5], age.i[1, 5]))
+        with self.assertRaisesRegexp(ValueError,
+                                     "key has several values for axis: age"):
+            la[age.i[1, 2], age.i[3, 4]]
 
     def test_getitem_abstract_positional(self):
         raw = self.array
@@ -953,8 +955,9 @@ def test_getitem_abstract_positional(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        # la[[1, 5, 9], age['1,5,9']]
-        self.assertRaises(ValueError, la.__getitem__, ([1, 5], x.age.i[1, 5]))
+        with self.assertRaisesRegexp(ValueError,
+                                     "key has several values for axis: age"):
+            la[x.age.i[2, 3], x.age.i[1, 5]]
 
     def test_getitem_bool_larray_key(self):
         raw = self.array
@@ -1009,7 +1012,6 @@ def test_getitem_int_larray_lgroup_key(self):
         self.assertEqual(res.shape, (2, 2, 2, 2))
         self.assertEqual(res.axes.names, ['c', 'd', 'a', 'b'])
 
-
     def test_getitem_larray_key_guess(self):
         a = Axis('a', ['a1', 'a2'])
         b = Axis('b', ['b1', 'b2'])
@@ -1062,7 +1064,8 @@ def test_positional_indexer_getitem(self):
                     ([1, 0], 5)]:
             assert_array_equal(la.i[key], raw[key])
         assert_array_equal(la.i[[1, 0], [5, 4]], raw[np.ix_([1, 0], [5, 4])])
-        self.assertRaises(IndexError, la.i.__getitem__, (0, 0, 0, 0, 0))
+        with self.assertRaises(IndexError):
+            la.i[0, 0, 0, 0, 0]
 
     def test_positional_indexer_setitem(self):
         for key in [0, (0, 2, 1, 2), (slice(None), 2, 1), (0, 2), [1, 0],
@@ -1248,7 +1251,8 @@ def test_setitem_bool_array_key(self):
         key = (la < 5).expand([Axis('extra', 2)])
         self.assertEqual(key.ndim, 5)
         # TODO: make this work
-        self.assertRaises(ValueError, la.__setitem__, key, 0)
+        with self.assertRaises(ValueError):
+            la[key] = 0
 
     def test_set(self):
         age, geo, sex, lipro = self.larray.axes
@@ -1945,7 +1949,8 @@ def test_sum_with_groups_from_other_axis(self):
         # use a group (from another axis) which is incompatible with the axis of
         # the same name in the array
         lipro4 = Axis('lipro', 'P01,P03,P16')
-        self.assertRaises(KeyError, small.sum, lipro4['P01,P16'])
+        with self.assertRaises(KeyError):
+            small.sum(lipro4['P01,P16'])
 
     def test_ratio(self):
         la = self.larray

From 44d1b649b6c7b04dc7ba50783ac9ec9d5cb53098 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 8 Aug 2016 16:48:53 +0200
Subject: [PATCH 069/899] changed age axis in test array from string to actual
 integers

also added a few tests for getitem errors
---
 larray/tests/test_la.py | 156 +++++++++++++++++++++++++---------------
 1 file changed, 98 insertions(+), 58 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 22d0854a3..a7f4ade8a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -629,7 +629,7 @@ def test_repr(self):
 class TestLArray(TestCase):
     def setUp(self):
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
-        self.age = Axis('age', ':115')
+        self.age = Axis('age', range(116))
         self.sex = Axis('sex', 'H,F')
 
         vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
@@ -707,7 +707,7 @@ def test_rename(self):
     def test_info(self):
         expected = """\
 116 x 44 x 2 x 15
- age [116]: '0' '1' '2' ... '113' '114' '115'
+ age [116]: 0 1 2 ... 113 114 115
  geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'
  sex [2]: 'H' 'F'
  lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'"""
@@ -766,13 +766,13 @@ def test_getitem(self):
         raw = self.array
         la = self.larray
         age, geo, sex, lipro = la.axes
-        age159 = age['1,5,9']
+        age159 = age[[1, 5, 9]]
         lipro159 = lipro['P01,P05,P09']
 
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', ['1', '5', '9'])))
+        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -783,7 +783,7 @@ def test_getitem(self):
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/positional key
-        assert_array_equal(la['1,5,9', lipro159],
+        assert_array_equal(la[[1, 5, 9], lipro159],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
@@ -796,20 +796,25 @@ def test_getitem(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        # la[[1, 5, 9], age['1,5,9']]
-        self.assertRaises(ValueError, la.__getitem__, ([1, 5], age['1,5']))
+        with self.assertRaises(ValueError):
+            la[age[1, 2], age[3, 4]]
+
+        # key with invalid axis
+        bad = Axis('bad', 3)
+        with self.assertRaises(KeyError):
+            la[bad[1, 2], age[3, 4]]
 
     def test_getitem_abstract_axes(self):
         raw = self.array
         la = self.larray
         age, geo, sex, lipro = la.axes
-        age159 = x.age['1,5,9']
+        age159 = x.age[1, 5, 9]
         lipro159 = x.lipro['P01,P05,P09']
 
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', ['1', '5', '9'])))
+        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -820,7 +825,7 @@ def test_getitem_abstract_axes(self):
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/positional key
-        assert_array_equal(la['1,5,9', lipro159],
+        assert_array_equal(la[[1, 5, 9], lipro159],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
@@ -833,8 +838,12 @@ def test_getitem_abstract_axes(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        # la[[1, 5, 9], age['1,5,9']]
-        self.assertRaises(ValueError, la.__getitem__, ([1, 5], x.age['1,5']))
+        with self.assertRaises(ValueError):
+            la[x.age[1, 2], x.age[3]]
+
+        # key with invalid axis
+        with self.assertRaises(KeyError):
+            la[x.bad[1, 2], x.age[3, 4]]
 
     def test_getitem_anonymous_axes(self):
         la = ndrange((3, 4))
@@ -850,10 +859,10 @@ def test_getitem_guess_axis(self):
         age, geo, sex, lipro = la.axes
 
         # key at "correct" place
-        assert_array_equal(la[['1', '5', '9']], raw[[1, 5, 9]])
-        subset = la['1,5,9']
+        assert_array_equal(la[[1, 5, 9]], raw[[1, 5, 9]])
+        subset = la[[1, 5, 9]]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', ['1', '5', '9'])))
+        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # key at "incorrect" place
@@ -861,11 +870,11 @@ def test_getitem_guess_axis(self):
         assert_array_equal(la[['P01', 'P05', 'P09']], raw[..., [0, 4, 8]])
 
         # multiple keys (in "incorrect" order)
-        assert_array_equal(la['P01,P05,P09', '1,5,9'],
+        assert_array_equal(la['P01,P05,P09', [1, 5, 9]],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/key
-        assert_array_equal(la[lipro['P01,P05,P09'], '1,5,9'],
+        assert_array_equal(la[lipro['P01,P05,P09'], [1, 5, 9]],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
@@ -880,8 +889,40 @@ def test_getitem_guess_axis(self):
                            raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        # la[[1, 5, 9], age['1,5,9']]
-        self.assertRaises(ValueError, la.__getitem__, ([1, 5], x.age['1,5']))
+        with self.assertRaisesRegexp(ValueError,
+                                     "key has several values for axis: age"):
+            la[[1, 2], [3, 4]]
+
+        # key with invalid label (ie label not found on any axis)
+        with self.assertRaisesRegexp(ValueError,
+                                     "999 is not a valid label for any axis"):
+            la[[1, 2], 999]
+
+        # key with invalid label list (ie list of labels not found on any axis)
+        with self.assertRaisesRegexp(ValueError,
+                                     "\[998, 999\] is not a valid label for "
+                                     "any axis"):
+            la[[1, 2], [998, 999]]
+
+        # key with partial invalid list (ie list containing a label not found
+        # on any axis)
+        # FIXME: the message should be the same as for 999, 4. Not sure which
+        #        version we should use though !
+        with self.assertRaisesRegexp(ValueError,
+                                     "\[3 999\] is not a valid label for any "
+                                     "axis"):
+            la[[1, 2], [3, 999]]
+
+        with self.assertRaisesRegexp(ValueError,
+                                     "\[999, 4\] is not a valid label for any "
+                                     "axis"):
+            la[[1, 2], [999, 4]]
+
+        # ambiguous key
+        a = ndrange((sex, sex.rename('sex2')))
+        with self.assertRaisesRegexp(ValueError,
+                                     "F is ambiguous \(valid in sex, sex2\)"):
+            a['F']
 
     def test_getitem_positional_group(self):
         raw = self.array
@@ -893,7 +934,7 @@ def test_getitem_positional_group(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', ['1', '5', '9'])))
+        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -904,7 +945,7 @@ def test_getitem_positional_group(self):
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/positional key
-        assert_array_equal(la['1,5,9', lipro159],
+        assert_array_equal(la[[1, 5, 9], lipro159],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
@@ -931,7 +972,7 @@ def test_getitem_abstract_positional(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', ['1', '5', '9'])))
+        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -942,7 +983,7 @@ def test_getitem_abstract_positional(self):
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/positional key
-        assert_array_equal(la['1,5,9', lipro159],
+        assert_array_equal(la[[1, 5, 9], lipro159],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
@@ -1089,7 +1130,7 @@ def test_setitem_larray(self):
         age, geo, sex, lipro = self.larray.axes
 
         # 1) using a LGroup key
-        ages1_5_9 = age['1,5,9']
+        ages1_5_9 = age[[1, 5, 9]]
 
         # a) value has exactly the same shape as the target slice
         la = self.larray.copy()
@@ -1135,7 +1176,7 @@ def test_setitem_larray(self):
         # 2) using a string key
         la = self.larray.copy()
         raw = self.array.copy()
-        la['1,5,9'] = la['2,7,3'] + 27.0
+        la[[1, 5, 9]] = la[[2, 7, 3]] + 27.0
         raw[[1, 5, 9]] = raw[[2, 7, 3]] + 27.0
         assert_array_equal(la, raw)
 
@@ -1167,7 +1208,7 @@ def test_setitem_ndarray(self):
         la = self.larray.copy()
         raw = self.array.copy()
         value = raw[[1, 5, 9]] + 25.0
-        la['1,5,9'] = value
+        la[[1, 5, 9]] = value
         raw[[1, 5, 9]] = value
         assert_array_equal(la, raw)
 
@@ -1175,7 +1216,7 @@ def test_setitem_ndarray(self):
         la = self.larray.copy()
         raw = self.array.copy()
         value = np.sum(raw[[1, 5, 9]], axis=1, keepdims=True)
-        la['1,5,9'] = value
+        la[[1, 5, 9]] = value
         raw[[1, 5, 9]] = value
         assert_array_equal(la, raw)
 
@@ -1186,14 +1227,14 @@ def test_setitem_scalar(self):
         # a) list key (one dimension)
         la = self.larray.copy()
         raw = self.array.copy()
-        la[['1', '5', '9']] = 42
+        la[[1, 5, 9]] = 42
         raw[[1, 5, 9]] = 42
         assert_array_equal(la, raw)
 
         # b) full scalar key (ie set one cell)
         la = self.larray.copy()
         raw = self.array.copy()
-        la['0', 'P02', 'A12', 'H'] = 42
+        la[0, 'P02', 'A12', 'H'] = 42
         raw[0, 1, 0, 1] = 42
         assert_array_equal(la, raw)
 
@@ -1258,7 +1299,7 @@ def test_set(self):
         age, geo, sex, lipro = self.larray.axes
 
         # 1) using a LGroup key
-        ages1_5_9 = age.group('1,5,9')
+        ages1_5_9 = age.group([1, 5, 9])
 
         # a) value has exactly the same shape as the target slice
         la = self.larray.copy()
@@ -1295,10 +1336,10 @@ def test_set(self):
         raw[[1, 5, 9]] = np.sum(raw[[1, 5, 9]], axis=1, keepdims=True)
         assert_array_equal(la, raw)
 
-        # 2) using a string key
+        # 2) using a raw key
         la = self.larray.copy()
         raw = self.array.copy()
-        la.set(la['2,7,3'] + 27.0, age='1,5,9')
+        la.set(la[[2, 7, 3]] + 27.0, age=[1, 5, 9])
         raw[[1, 5, 9]] = raw[[2, 7, 3]] + 27.0
         assert_array_equal(la, raw)
 
@@ -1306,8 +1347,8 @@ def test_filter(self):
         la = self.larray
         age, geo, sex, lipro = la.axes
 
-        ages1_5_9 = age.group('1,5,9')
-        ages11 = age.group('11')
+        ages1_5_9 = age.group(1, 5, 9)
+        ages11 = age.group(11)
 
         # with LGroup
         self.assertEqual(la.filter(age=ages1_5_9).shape, (3, 44, 2, 15))
@@ -1319,10 +1360,11 @@ def test_filter(self):
         self.assertEqual(la.filter(age=ages11).shape, (44, 2, 15))
 
         # VG with a list of 1 value => do not collapse
-        self.assertEqual(la.filter(age=age.group(['11'])).shape, (1, 44, 2, 15))
+        self.assertEqual(la.filter(age=age.group([11])).shape, (1, 44, 2, 15))
 
         # VG with a list of 1 value defined as a string => do not collapse
-        self.assertEqual(la.filter(age=age.group('11,')).shape, (1, 44, 2, 15))
+        self.assertEqual(la.filter(lipro=lipro.group('P01,')).shape,
+                         (116, 44, 2, 1))
 
         # VG with 1 value
         # XXX: this does not work. Do we want to make this work?
@@ -1330,17 +1372,17 @@ def test_filter(self):
         # self.assertEqual(filtered.shape, (1, 44, 2, 15))
 
         # list
-        self.assertEqual(la.filter(age=['1', '5', '9']).shape, (3, 44, 2, 15))
+        self.assertEqual(la.filter(age=[1, 5, 9]).shape, (3, 44, 2, 15))
 
         # string
-        self.assertEqual(la.filter(age='1,5,9').shape, (3, 44, 2, 15))
+        self.assertEqual(la.filter(lipro='P01,P02').shape, (116, 44, 2, 2))
 
         # multiple axes at once
-        self.assertEqual(la.filter(age='1,5,9', lipro='P01,P02').shape,
+        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape,
                          (3, 44, 2, 2))
 
         # multiple axes one after the other
-        self.assertEqual((la.filter(age='1,5,9').filter(lipro='P01,P02')).shape,
+        self.assertEqual(la.filter(age=[1, 5, 9]).filter(lipro='P01,P02').shape,
                          (3, 44, 2, 2))
 
         # a single value for one dimension => collapse the dimension
@@ -1364,27 +1406,28 @@ def test_filter(self):
         # ------
 
         # VG slice
-        self.assertEqual(la.filter(age=age[':17']).shape, (18, 44, 2, 15))
+        self.assertEqual(la.filter(age=age[:17]).shape, (18, 44, 2, 15))
         # string slice
-        self.assertEqual(la.filter(age=':17').shape, (18, 44, 2, 15))
+        self.assertEqual(la.filter(lipro=':P03').shape, (116, 44, 2, 3))
         # raw slice
-        self.assertEqual(la.filter(age=slice('17')).shape, (18, 44, 2, 15))
+        self.assertEqual(la.filter(age=slice(17)).shape, (18, 44, 2, 15))
 
         # filter chain with a slice
-        self.assertEqual(la.filter(age=':17').filter(geo='A12,A13').shape,
+        self.assertEqual(la.filter(age=slice(17)).filter(geo='A12,A13').shape,
                          (18, 2, 2, 15))
 
     def test_filter_multiple_axes(self):
         la = self.larray
 
         # multiple values in each group
-        self.assertEqual(la.filter(age='1,5,9', lipro='P01,P02').shape,
+        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape,
                          (3, 44, 2, 2))
         # with a group of one value
-        self.assertEqual(la.filter(age='1,5,9', sex='H,').shape, (3, 44, 1, 15))
+        self.assertEqual(la.filter(age=[1, 5, 9], sex='H,').shape,
+                         (3, 44, 1, 15))
 
         # with a discarded axis (there is a scalar in the key)
-        self.assertEqual(la.filter(age='1,5,9', sex='H').shape, (3, 44, 15))
+        self.assertEqual(la.filter(age=[1, 5, 9], sex='H').shape, (3, 44, 15))
 
         # with a discarded axis that is not adjacent to the ix_array axis
         # ie with a sliced axis between the scalar axis and the ix_array axis
@@ -1393,9 +1436,9 @@ def test_filter_multiple_axes(self):
         # additionally, if the ix_array axis was first (ie ix_array on age),
         # it worked even before the issue was fixed, since the "indexing"
         # subspace is tacked-on to the beginning (as the first dimension)
-        self.assertEqual(la.filter(age='57', sex='H,F').shape,
+        self.assertEqual(la.filter(age=57, sex='H,F').shape,
                          (44, 2, 15))
-        self.assertEqual(la.filter(age='57', lipro='P01,P05').shape,
+        self.assertEqual(la.filter(age=57, lipro='P01,P05').shape,
                          (44, 2, 2))
         self.assertEqual(la.filter(geo='A57', lipro='P01,P05').shape,
                          (116, 2, 2))
@@ -1431,7 +1474,7 @@ def test_sum_full_axes(self):
 
     def test_sum_full_axes_with_nan(self):
         la = self.larray.copy()
-        la['H', 'P02', 'A12', '0'] = np.nan
+        la['H', 'P02', 'A12', 0] = np.nan
         raw = la.data
 
         # everything
@@ -1832,23 +1875,20 @@ def test_filter_on_group_agg(self):
         # reg[((vla,),)] or reg[(vla,), :]
 
         # mixed VG/string slices
-        child = age[':17']
-        working = age['18:64']
-        retired = age['65:']
+        child = age[:17]
+        working = age[18:64]
+        retired = age[65:]
 
-        byage = la.sum(age=(child, '5', working, retired))
+        byage = la.sum(age=(child, 5, working, retired))
         self.assertEqual(byage.shape, (4, 44, 2, 15))
 
-        byage = la.sum(age=(child, '5:10', working, retired))
+        byage = la.sum(age=(child, slice(5, 10), working, retired))
         self.assertEqual(byage.shape, (4, 44, 2, 15))
 
         # filter on an aggregated larray created with mixed groups
         self.assertEqual(byage.filter(age=child).shape, (44, 2, 15))
-        self.assertEqual(byage.filter(age=':17').shape, (44, 2, 15))
 
         # TODO: make this work
-        # self.assertEqual(byage.filter(age=slice('17')).shape, (44, 2, 15))
-        # TODO: make it work for integer indices
         # self.assertEqual(byage.filter(age=slice(18)).shape, (44, 2, 15))
 
     # def test_sum_groups_vg_args(self):

From c0ad1f30b8a34538d03d575b927c816aee862767 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 11:53:02 +0200
Subject: [PATCH 070/899] added support for 'xlwings' engine in read_excel (and
 made it the default)

we loose most of the options supported by pandas.read_excel but at least
we roundtrip correctly for the simple case (ie axes are detected properly)
---
 larray/core.py | 21 ++++++++++++++-------
 1 file changed, 14 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cfdb8f9d0..496866206 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5238,19 +5238,26 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
                        fill_value=na)
 
 
-def read_excel(filepath, sheetname=0, nb_index=0, index_col=[],
-               na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
+               na=np.nan, sort_rows=False, sort_columns=False,
+               engine='xlwings', **kwargs):
     """
     reads excel file from sheet name and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
     """
-    if isinstance(index_col, list) and len(index_col) == 0:
-        index_col = list(range(nb_index))
-    df = pd.read_excel(filepath, sheetname, index_col=index_col, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                       fill_value=na)
+    if engine == 'xlwings':
+        from .excel import open_excel
+        with open_excel(filepath) as wb:
+            return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
+    else:
+        if isinstance(index_col, list) and len(index_col) == 0:
+            index_col = list(range(nb_index))
+        df = pd.read_excel(filepath, sheetname, index_col=index_col,
+                           engine=engine, **kwargs)
+        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
+                           fill_value=na)
 
 
 def read_sas(filepath, nb_index=0, index_col=[],

From b55555ba16b71574f8c3a1b16f1b6a7e4e800bad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 11:54:33 +0200
Subject: [PATCH 071/899] do not define excel.* classes if xlwings is not
 available so that doctests are not run

---
 larray/excel.py | 799 ++++++++++++++++++++++++------------------------
 1 file changed, 403 insertions(+), 396 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 4f62e58d8..73f2f8560 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -14,409 +14,416 @@
 string_types = (str,)
 
 
-class LArrayConverter(PandasDataFrameConverter):
-    writes_types = LArray
+if xw is not None:
+    class LArrayConverter(PandasDataFrameConverter):
+        writes_types = LArray
 
-    @classmethod
-    def read_value(cls, value, options):
-        df = PandasDataFrameConverter.read_value(value, options)
-        return df_aslarray(df)
+        @classmethod
+        def read_value(cls, value, options):
+            df = PandasDataFrameConverter.read_value(value, options)
+            return df_aslarray(df)
+
+        @classmethod
+        def write_value(cls, value, options):
+            df = value.to_frame(fold_last_axis_name=True)
+            return PandasDataFrameConverter.write_value(df, options)
 
-    @classmethod
-    def write_value(cls, value, options):
-        df = value.to_frame(fold_last_axis_name=True)
-        return PandasDataFrameConverter.write_value(df, options)
 
-if xw is not None:
     LArrayConverter.register(LArray)
 
 
-class ClosedBook(object):
-    def __getattribute__(self, key):
-        raise AttributeError("workbook is closed")
-
-
-class Workbook(object):
-    def __init__(self, filepath, *args, **kwargs):
-        """
-        Parameters
-        ----------
-        filepath : None, int or str
-            use None for a new blank workbook, -1 for the last active workbook
-        args
-        kwargs
-        """
-        # in many cases, it would be better to open a new Excel instance but
-        # xlwings does not support that currently (it uses Dispatch instead
-        # of DispatchEx).
-        # See: https://github.com/ZoomerAnalytics/xlwings/issues/335
-        if filepath is None:
-            # creates a new/blank Workbook
-            if 'app_visible' not in kwargs:
-                kwargs['app_visible'] = True
-            self.was_open = False
-            xw_wkb = xw.Workbook(*args, **kwargs)
-        elif filepath == -1:
-            # not really True, but in this case close() should really close
-            self.was_open = False
-            xw_wkb = xw.Workbook.active()
-        else:
-            basename, ext = os.path.splitext(filepath)
-            if ext:
-                # XXX: we might want to be more precise than .xl* because
-                #      I am unsure writing .xls (or anything other than .xlsx
-                #      and .xlsm) would work
-                if not ext.startswith('.xl'):
-                    raise ValueError("'%s' is not a supported file "
-                                     "extension" % ext)
-
-                # This is necessary because otherwise we cannot open/save to
-                # a workbook in the current directory without giving the
-                # full/absolute path. By doing this, we basically loose the
-                # ability to target an already open workbook *of a saved
-                # file* not in the current directory without using its
-                # path. I can live with that restriction though because you
-                # usually either work with relative paths or with the
-                # currently active workbook.
-                filepath = os.path.abspath(filepath)
-            if 'app_visible' not in kwargs:
-                kwargs['app_visible'] = None
-            self.was_open = xw.xlplatform.is_file_open(filepath)
-            xw_wkb = xw.Workbook(filepath, *args, **kwargs)
-            # if os.path.isfile(filepath) and overwrite_file:
-            #     os.remove(filepath)
-        self.xw_wkb = xw_wkb
-
-    def _concrete_key(self, key):
-        if isinstance(key, int):
-            if key < 0:
-                key += len(self)
-            key += 1
-        return key
-
-    def __contains__(self, key):
-        if isinstance(key, int):
-            length = len(self)
-            return -length <= key < length
-        else:
-            return key in self.sheet_names()
-
-    def __getitem__(self, key):
-        key = self._concrete_key(key)
-        return Sheet(self, key)
-
-    def __setitem__(self, key, value):
-        if isinstance(value, Sheet):
-            if key in self:
-                xw_sheet = self[key].xw_sheet
-                # avoid having the sheet name renamed to "name (1)"
-                xw_sheet.name = '__tmp__'
-                # add new sheet before sheet to overwrite
-                value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
-                xw_sheet.delete()
+    class ClosedBook(object):
+        def __getattribute__(self, key):
+            raise AttributeError("workbook is closed")
+
+
+    class Workbook(object):
+        def __init__(self, filepath, *args, **kwargs):
+            """
+            Parameters
+            ----------
+            filepath : None, int or str
+                use None for a new blank workbook, -1 for the last active
+                workbook
+            args
+            kwargs
+            """
+            # in many cases, it would be better to open a new Excel instance but
+            # xlwings does not support that currently (it uses Dispatch instead
+            # of DispatchEx).
+            # See: https://github.com/ZoomerAnalytics/xlwings/issues/335
+            if filepath is None:
+                # creates a new/blank Workbook
+                if 'app_visible' not in kwargs:
+                    kwargs['app_visible'] = True
+                self.was_open = False
+                xw_wkb = xw.Workbook(*args, **kwargs)
+            elif filepath == -1:
+                # not really True, but in this case close() should really close
+                self.was_open = False
+                xw_wkb = xw.Workbook.active()
+            else:
+                basename, ext = os.path.splitext(filepath)
+                if ext:
+                    # XXX: we might want to be more precise than .xl* because
+                    #      I am unsure writing .xls (or anything other than
+                    #      .xlsx and .xlsm) would work
+                    if not ext.startswith('.xl'):
+                        raise ValueError("'%s' is not a supported file "
+                                         "extension" % ext)
+
+                    # This is necessary because otherwise we cannot open/save to
+                    # a workbook in the current directory without giving the
+                    # full/absolute path. By doing this, we basically loose the
+                    # ability to target an already open workbook *of a saved
+                    # file* not in the current directory without using its
+                    # path. I can live with that restriction though because you
+                    # usually either work with relative paths or with the
+                    # currently active workbook.
+                    filepath = os.path.abspath(filepath)
+                if 'app_visible' not in kwargs:
+                    kwargs['app_visible'] = None
+                self.was_open = xw.xlplatform.is_file_open(filepath)
+                xw_wkb = xw.Workbook(filepath, *args, **kwargs)
+                # if os.path.isfile(filepath) and overwrite_file:
+                #     os.remove(filepath)
+            self.xw_wkb = xw_wkb
+
+        def _concrete_key(self, key):
+            if isinstance(key, int):
+                if key < 0:
+                    key += len(self)
+                key += 1
+            return key
+
+        def __contains__(self, key):
+            if isinstance(key, int):
+                length = len(self)
+                return -length <= key < length
             else:
-                xw_sheet = self[-1]
-                value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
-            return
-        if key in self:
+                return key in self.sheet_names()
+
+        def __getitem__(self, key):
             key = self._concrete_key(key)
-            sheet = Sheet(self, key)
-            sheet.clear()
-        else:
-            xw_sheet = xw.Sheet.add(name=key, wkb=self.xw_wkb)
-            sheet = Sheet(None, None, xw_sheet=xw_sheet)
-        sheet["A1"] = value
-
-    def sheet_names(self):
-        return [s.name for s in self]
-
-    def save(self, path=None):
-        """
-        Saves the Workbook. If a path is being provided, this works like
-        SaveAs() in Excel. If no path is specified and if the file hasn't been
-        saved previously, it's being saved in the current working directory
-        with the current filename. Existing files are overwritten without
-        prompting.
-
-        Arguments
-        ---------
-        path : str, default None
-            path to the workbook
-
-        Example
-        -------
-        >>> wb = open_excel()
-        >>> wb.save()
-        >>> # wb.save("c:/path/to/new_file_name.xlsx")
-        >>> wb.close()
-        """
-        if path is not None:
-            path = os.path.abspath(path)
-        self.xw_wkb.save(path)
-
-    def close(self, force=False):
-        """
-        Close the current connection to the Workbook. If the workbook was
-        not already open in Excel when this connection was created, it is
-        closed in Excel, otherwise it is left open in Excel unless `force` is
-        used. In the case the workbook is left open in Excel, the connection
-        to it becomes non functional.
-
-        Parameters
-        ----------
-        force : bool, optional
-            whether or not to force closing the workbook in Excel,
-            in addition to our connection to it. If not provided,
-            the workbook is closed in excel only if it was not open before
-            this python connection to it was created.
-        """
-        if not self.was_open or force:
-            self.xw_wkb.close()
-
-        # not using None, because that is the default value for xlwings,
-        # and means that this Workbook object would remain functional (but
-        # possibly pointing at another file!) if there is any Excel file
-        # left open.
-        self.xw_wkb = ClosedBook()
-        self.was_open = False
-
-    def __iter__(self):
-        xw_sheets = xw.Sheet.all(self.xw_wkb)
-        return iter([Sheet(None, None, xw_sheet) for xw_sheet in xw_sheets])
-
-    def __len__(self):
-        return len(xw.Sheet.all(self.xw_wkb))
-
-    def __dir__(self):
-        return list(set(dir(self.__class__)) | set(dir(self.xw_wkb)))
-
-    def __getattr__(self, key):
-        return getattr(self.xw_wkb, key)
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, type, value, traceback):
-        self.close()
-
-
-def _concrete_key(key, shape):
-    if not isinstance(key, tuple):
-        key = (key,)
-
-    if len(key) < len(shape):
-        key = key + (slice(None),) * (len(shape) - len(key))
-
-    return [slice(*k.indices(length)) if isinstance(k, slice) else k
-            for k, length in zip(key, shape)]
-
-
-class Sheet(object):
-    def __init__(self, workbook, key, xw_sheet=None):
-        if xw_sheet is None:
-            xw_sheet = xw.Sheet(key, wkb=workbook.xw_wkb)
-        self.xw_sheet = xw_sheet
-
-    def __getitem__(self, key):
-        if isinstance(key, string_types):
-            return Range(self, key)
-
-        row, col = _concrete_key(key, self.shape)
-        if isinstance(row, slice) or isinstance(col, slice):
-            row1, row2 = (row.start, row.stop) \
-                if isinstance(row, slice) else (row, row + 1)
-            col1, col2 = (col.start, col.stop) \
-                if isinstance(col, slice) else (col, col + 1)
-            return Range(self, (row1 + 1, col1 + 1), (row2, col2))
-        else:
-            return Range(self, (row + 1, col + 1))
-
-    def __setitem__(self, key, value):
-        if isinstance(value, LArray):
-            value = value.dump(header=False)
-        self[key].xw_range.value = value
-
-    @property
-    def shape(self):
-        # include top-left empty rows/columns
-        used = self.xw_sheet.xl_sheet.UsedRange
-        return (used.Row + used.Rows.Count - 1,
-                used.Column + used.Columns.Count - 1)
-
-    @property
-    def ndim(self):
-        return 2
-
-    def __array__(self, dtype=None):
-        return np.array(self[:].value, dtype=dtype)
-
-    def __dir__(self):
-        return list(set(dir(self.__class__)) | set(dir(self.xw_sheet)))
-
-    def __getattr__(self, key):
-        return getattr(self.xw_sheet, key)
-
-    def load(self, header=True, nb_index=0, index_col=None):
-        return self[:].load(header=header, nb_index=nb_index,
-                            index_col=index_col)
-
-    # TODO: generalize to more than 2 dimensions or scrap it
-    def array(self, data, row_labels=None, column_labels=None, names=None):
-        """
-
-        Parameters
-        ----------
-        data : str
-            range for data
-        row_labels : str, optional
-            range for row labels
-        column_labels : str, optional
-            range for column labels
-        names : list of str, optional
-
-        Returns
-        -------
-        LArray
-        """
-        if row_labels is not None:
-            row_labels = np.array(self[row_labels].value)
-        if column_labels is not None:
-            column_labels = np.array(self[column_labels].value)
-        if names is not None:
-            labels = (row_labels, column_labels)
-            axes = [Axis(name, axis_labels)
-                    for name, axis_labels in zip(names, labels)]
-        else:
-            axes = (row_labels, column_labels)
-        return LArray(self[data], axes)
-
-
-class Range(object):
-    def __init__(self, sheet, *args):
-        xw_range = xw.Range(sheet.xw_sheet, *args)
-
-        object.__setattr__(self, 'sheet', sheet)
-        object.__setattr__(self, 'xw_range', xw_range)
-
-    def _range_key_to_sheet_key(self, key):
-        # string keys does not make sense in this case
-        assert not isinstance(key, string_types)
-        row_offset, col_offset = self.xw_range.row1 - 1, self.xw_range.col1 - 1
-        row, col = _concrete_key(key, self.xw_range.shape)
-        row = slice(row.start + row_offset, row.stop + row_offset) \
-            if isinstance(row, slice) else row + row_offset
-        col = slice(col.start + col_offset, col.stop + col_offset) \
-            if isinstance(col, slice) else col + col_offset
-        return row, col
-
-    def __getitem__(self, key):
-        return self.sheet[self._range_key_to_sheet_key(key)]
-
-    def __setitem__(self, key, value):
-        self.sheet[self._range_key_to_sheet_key(key)] = value
-
-    def _converted_value(self, convert_float=True):
-        list_data = self.xw_range.value
-
-        # As of version 0.7.2 of xlwings, there is no built-in converter for
-        # this. The builtin .options(numbers=int) converter converts all
-        # values to int, whether that would loose information or not, but this
-        # is not what we want.
-        if convert_float:
-            # Excel 'numbers' are always floats
-            def convert(value):
-                if isinstance(value, float):
-                    int_val = int(value)
-                    if int_val == value:
-                        return int_val
-                return value
-            if self.ndim == 1:
-                list_data = [convert(v) for v in list_data]
-            elif self.ndim == 2:
-                list_data = [[convert(v) for v in line] for line in list_data]
+            return Sheet(self, key)
+
+        def __setitem__(self, key, value):
+            if isinstance(value, Sheet):
+                if key in self:
+                    xw_sheet = self[key].xw_sheet
+                    # avoid having the sheet name renamed to "name (1)"
+                    xw_sheet.name = '__tmp__'
+                    # add new sheet before sheet to overwrite
+                    value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+                    xw_sheet.delete()
+                else:
+                    xw_sheet = self[-1]
+                    value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+                return
+            if key in self:
+                key = self._concrete_key(key)
+                sheet = Sheet(self, key)
+                sheet.clear()
+            else:
+                xw_sheet = xw.Sheet.add(name=key, wkb=self.xw_wkb)
+                sheet = Sheet(None, None, xw_sheet=xw_sheet)
+            sheet["A1"] = value
+
+        def sheet_names(self):
+            return [s.name for s in self]
+
+        def save(self, path=None):
+            """
+            Saves the Workbook. If a path is being provided, this works like
+            SaveAs() in Excel. If no path is specified and if the file has
+            not been saved previously, it's being saved in the current working
+            directory with the current filename. Existing files are overwritten
+            without prompting.
+
+            Arguments
+            ---------
+            path : str, default None
+                path to the workbook
+
+            Example
+            -------
+            >>> wb = open_excel()
+            >>> wb.save()
+            >>> # wb.save("c:/path/to/new_file_name.xlsx")
+            >>> wb.close()
+            """
+            if path is not None:
+                path = os.path.abspath(path)
+            self.xw_wkb.save(path)
+
+        def close(self, force=False):
+            """
+            Close the current connection to the Workbook. If the workbook was
+            not already open in Excel when this connection was created, it is
+            closed in Excel, otherwise it is left open in Excel unless `force`
+            is used. In the case the workbook is left open in Excel, the
+            connection to it becomes non functional.
+
+            Parameters
+            ----------
+            force : bool, optional
+                whether or not to force closing the workbook in Excel,
+                in addition to our connection to it. If not provided,
+                the workbook is closed in excel only if it was not open before
+                this python connection to it was created.
+            """
+            if not self.was_open or force:
+                self.xw_wkb.close()
+
+            # not using None, because that is the default value for xlwings,
+            # and means that this Workbook object would remain functional (but
+            # possibly pointing at another file!) if there is any Excel file
+            # left open.
+            self.xw_wkb = ClosedBook()
+            self.was_open = False
+
+        def __iter__(self):
+            xw_sheets = xw.Sheet.all(self.xw_wkb)
+            return iter([Sheet(None, None, xw_sheet) for xw_sheet in xw_sheets])
+
+        def __len__(self):
+            return len(xw.Sheet.all(self.xw_wkb))
+
+        def __dir__(self):
+            return list(set(dir(self.__class__)) | set(dir(self.xw_wkb)))
+
+        def __getattr__(self, key):
+            return getattr(self.xw_wkb, key)
+
+        def __enter__(self):
+            return self
+
+        def __exit__(self, type_, value, traceback):
+            self.close()
+
+
+    def _concrete_key(key, shape):
+        if not isinstance(key, tuple):
+            key = (key,)
+
+        if len(key) < len(shape):
+            key = key + (slice(None),) * (len(shape) - len(key))
+
+        return [slice(*k.indices(length)) if isinstance(k, slice) else k
+                for k, length in zip(key, shape)]
+
+
+    class Sheet(object):
+        def __init__(self, workbook, key, xw_sheet=None):
+            if xw_sheet is None:
+                xw_sheet = xw.Sheet(key, wkb=workbook.xw_wkb)
+            self.xw_sheet = xw_sheet
+
+        def __getitem__(self, key):
+            if isinstance(key, string_types):
+                return Range(self, key)
+
+            row, col = _concrete_key(key, self.shape)
+            if isinstance(row, slice) or isinstance(col, slice):
+                row1, row2 = (row.start, row.stop) \
+                    if isinstance(row, slice) else (row, row + 1)
+                col1, col2 = (col.start, col.stop) \
+                    if isinstance(col, slice) else (col, col + 1)
+                return Range(self, (row1 + 1, col1 + 1), (row2, col2))
+            else:
+                return Range(self, (row + 1, col + 1))
+
+        def __setitem__(self, key, value):
+            if isinstance(value, LArray):
+                value = value.dump(header=False)
+            self[key].xw_range.value = value
+
+        @property
+        def shape(self):
+            # include top-left empty rows/columns
+            used = self.xw_sheet.xl_sheet.UsedRange
+            return (used.Row + used.Rows.Count - 1,
+                    used.Column + used.Columns.Count - 1)
+
+        @property
+        def ndim(self):
+            return 2
+
+        def __array__(self, dtype=None):
+            return np.array(self[:].value, dtype=dtype)
+
+        def __dir__(self):
+            return list(set(dir(self.__class__)) | set(dir(self.xw_sheet)))
+
+        def __getattr__(self, key):
+            return getattr(self.xw_sheet, key)
+
+        def load(self, header=True, nb_index=0, index_col=None):
+            return self[:].load(header=header, nb_index=nb_index,
+                                index_col=index_col)
+
+        # TODO: generalize to more than 2 dimensions or scrap it
+        def array(self, data, row_labels=None, column_labels=None, names=None):
+            """
+
+            Parameters
+            ----------
+            data : str
+                range for data
+            row_labels : str, optional
+                range for row labels
+            column_labels : str, optional
+                range for column labels
+            names : list of str, optional
+
+            Returns
+            -------
+            LArray
+            """
+            if row_labels is not None:
+                row_labels = np.array(self[row_labels].value)
+            if column_labels is not None:
+                column_labels = np.array(self[column_labels].value)
+            if names is not None:
+                labels = (row_labels, column_labels)
+                axes = [Axis(name, axis_labels)
+                        for name, axis_labels in zip(names, labels)]
             else:
-                raise ValueError("invalid ndim: %d" % self.ndim)
-        return list_data
-
-    def __array__(self, dtype=None):
-        return np.array(self._converted_value(), dtype=dtype)
-
-    def __larray__(self):
-        return LArray(np.array(self.xw_range.value))
-
-    def __dir__(self):
-        return list(set(dir(self.__class__)) | set(dir(self.xw_range)))
-
-    def __getattr__(self, key):
-        if hasattr(LArray, key):
-            return getattr(self.__larray__(), key)
-        else:
-            return getattr(self.xw_range, key)
-
-    def __setattr__(self, key, value):
-        return setattr(self.xw_range, key, value)
-
-    # TODO: implement all binops
-    # def __mul__(self, other):
-    #     return self.__larray__() * other
-
-    def __str__(self):
-        return str(self.__larray__())
-    __repr__ = __str__
-
-    def load(self, header=True, convert_float=True, nb_index=0, index_col=None):
-        if index_col is None and nb_index > 0:
-            index_col = list(range(nb_index))
-
-        list_data = self._converted_value(convert_float=convert_float)
-
-        if header:
-            # TODO: try getting values via self[1:] instead of via the
-            # list so that we do not produce copies of data. Not sure which
-            # would be faster
-            header_line = list_data[0]
-            # TODO: factor this with read_csv
-            try:
-                # take the first cell which contains '\'
-                pos_last = next(i for i, v in enumerate(header_line)
-                                if isinstance(v, basestring) and '\\' in v)
-            except StopIteration:
-                # if there isn't any, assume 1d array, unless "liam2 dialect"
-                pos_last = 0
-            axes_names = header_line[:pos_last + 1]
-            # TODO: factor this with df_aslarray
-            if isinstance(axes_names[-1], basestring) and \
-                    '\\' in axes_names[-1]:
-                last_axes = [name.strip()
-                             for name in axes_names[-1].split('\\')]
-                axes_names = axes_names[:-1] + last_axes
-
-            # this can only happen if both nb_index=0 and index_col is None
-            # XXX: we might want to have nb_index default to None instead of
-            #      0 so that we can force "no index at all"
-            if index_col is None:
-                nb_index = len(axes_names) - 1
+                axes = (row_labels, column_labels)
+            return LArray(self[data], axes)
+
+
+    class Range(object):
+        def __init__(self, sheet, *args):
+            xw_range = xw.Range(sheet.xw_sheet, *args)
+
+            object.__setattr__(self, 'sheet', sheet)
+            object.__setattr__(self, 'xw_range', xw_range)
+
+        def _range_key_to_sheet_key(self, key):
+            # string keys does not make sense in this case
+            assert not isinstance(key, string_types)
+            row_offset = self.xw_range.row1 - 1
+            col_offset = self.xw_range.col1 - 1
+            row, col = _concrete_key(key, self.xw_range.shape)
+            row = slice(row.start + row_offset, row.stop + row_offset) \
+                if isinstance(row, slice) else row + row_offset
+            col = slice(col.start + col_offset, col.stop + col_offset) \
+                if isinstance(col, slice) else col + col_offset
+            return row, col
+
+        def __getitem__(self, key):
+            return self.sheet[self._range_key_to_sheet_key(key)]
+
+        def __setitem__(self, key, value):
+            self.sheet[self._range_key_to_sheet_key(key)] = value
+
+        def _converted_value(self, convert_float=True):
+            list_data = self.xw_range.value
+
+            # As of version 0.7.2 of xlwings, there is no built-in converter for
+            # this. The builtin .options(numbers=int) converter converts all
+            # values to int, whether that would loose information or not, but
+            # this is not what we want.
+            if convert_float:
+                # Excel 'numbers' are always floats
+                def convert(value):
+                    if isinstance(value, float):
+                        int_val = int(value)
+                        if int_val == value:
+                            return int_val
+                    return value
+                if self.ndim == 1:
+                    list_data = [convert(v) for v in list_data]
+                elif self.ndim == 2:
+                    list_data = [[convert(v) for v in line]
+                                 for line in list_data]
+                else:
+                    raise ValueError("invalid ndim: %d" % self.ndim)
+            return list_data
+
+        def __array__(self, dtype=None):
+            return np.array(self._converted_value(), dtype=dtype)
+
+        def __larray__(self):
+            return LArray(np.array(self.xw_range.value))
+
+        def __dir__(self):
+            return list(set(dir(self.__class__)) | set(dir(self.xw_range)))
+
+        def __getattr__(self, key):
+            if hasattr(LArray, key):
+                return getattr(self.__larray__(), key)
+            else:
+                return getattr(self.xw_range, key)
+
+        def __setattr__(self, key, value):
+            return setattr(self.xw_range, key, value)
+
+        # TODO: implement all binops
+        # def __mul__(self, other):
+        #     return self.__larray__() * other
+
+        def __str__(self):
+            return str(self.__larray__())
+        __repr__ = __str__
+
+        def load(self, header=True, convert_float=True, nb_index=0,
+                 index_col=None):
+            if index_col is None and nb_index > 0:
                 index_col = list(range(nb_index))
-            assert isinstance(index_col, list)
-            # at this point index_col should be a list but it could be empty
-            col_offset = (max(index_col) + 1) if index_col else 1
-            # number of header lines or comment lines at the start of the file
-            # TODO: we need to support comments & more
-            row_offset = 1
-            data_no_header = list_data[row_offset:]
-            data = np.array([line[col_offset:] for line in data_no_header])
-            axes_labels = [list(unique([line[i] for line in data_no_header]))
-                           for i in index_col]
-            axes_labels.append(header_line[col_offset:])
-            # TODO: detect anonymous axes
-            axes = [Axis(name, labels)
-                    for name, labels in zip(axes_names, axes_labels)]
-            data = data.reshape([len(axis) for axis in axes])
-            return LArray(data, axes)
-        else:
-            return LArray(list_data)
-
-
-# XXX: remove this function?
-def open_excel(filepath=None, **kwargs):
-    return Workbook(filepath, **kwargs)
\ No newline at end of file
+
+            list_data = self._converted_value(convert_float=convert_float)
+
+            if header:
+                # TODO: try getting values via self[1:] instead of via the
+                # list so that we do not produce copies of data. Not sure which
+                # would be faster
+                header_line = list_data[0]
+                # TODO: factor this with read_csv
+                try:
+                    # take the first cell which contains '\'
+                    pos_last = next(i for i, v in enumerate(header_line)
+                                    if isinstance(v, basestring) and '\\' in v)
+                except StopIteration:
+                    # if there isn't any, assume 1d array, unless
+                    # "liam2 dialect"
+                    pos_last = 0
+                axes_names = header_line[:pos_last + 1]
+                # TODO: factor this with df_aslarray
+                if isinstance(axes_names[-1], basestring) and \
+                        '\\' in axes_names[-1]:
+                    last_axes = [name.strip()
+                                 for name in axes_names[-1].split('\\')]
+                    axes_names = axes_names[:-1] + last_axes
+
+                # this can only happen if both nb_index=0 and index_col is None
+                # XXX: we might want to have nb_index default to None instead of
+                #      0 so that we can force "no index at all"
+                if index_col is None:
+                    nb_index = len(axes_names) - 1
+                    index_col = list(range(nb_index))
+                assert isinstance(index_col, list)
+                # at this point index_col should be a list but it could be empty
+                col_offset = (max(index_col) + 1) if index_col else 1
+                # number of header lines or comment lines at the start of the
+                # file
+                # TODO: we need to support comments & more
+                row_offset = 1
+                data_no_header = list_data[row_offset:]
+                data = np.array([line[col_offset:] for line in data_no_header])
+                axes_labels = [list(unique([line[i]
+                                            for line in data_no_header]))
+                               for i in index_col]
+                axes_labels.append(header_line[col_offset:])
+                # TODO: detect anonymous axes
+                axes = [Axis(name, labels)
+                        for name, labels in zip(axes_names, axes_labels)]
+                data = data.reshape([len(axis) for axis in axes])
+                return LArray(data, axes)
+            else:
+                return LArray(list_data)
+
+    # XXX: remove this function?
+    def open_excel(filepath=None, **kwargs):
+        return Workbook(filepath, **kwargs)

From 79b05ad91823bd082e6ee15c84c0bd878091a969 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 12:49:14 +0200
Subject: [PATCH 072/899] * refactored session to allow several engines for the
 same format * added xlwings session engine and made it the default for xls &
 xlsx files.

---
 larray/session.py            | 84 +++++++++++++++++++++++++-----------
 larray/tests/test_session.py |  2 +-
 2 files changed, 59 insertions(+), 27 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index bdec743db..a3f89eaf5 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -5,8 +5,9 @@
 
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
-from larray.core import LArray, Axis, read_csv, read_hdf, df_aslarray, \
-    larray_equal
+
+from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_equal
+from .excel import open_excel
 
 
 def check_pattern(k, pattern):
@@ -63,7 +64,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
         self.close()
 
 
-class HDFHandler(FileHandler):
+class PandasHDFHandler(FileHandler):
     def _open_for_read(self):
         self.handle = HDFStore(self.fname, mode='r')
 
@@ -83,7 +84,7 @@ def close(self):
         self.handle.close()
 
 
-class ExcelHandler(FileHandler):
+class PandasExcelHandler(FileHandler):
     def _open_for_read(self):
         self.handle = ExcelFile(self.fname)
 
@@ -105,7 +106,27 @@ def close(self):
         self.handle.close()
 
 
-class CSVHandler(FileHandler):
+class XLWingsHandler(FileHandler):
+    def _open_for_read(self):
+        self.handle = open_excel(self.fname)
+
+    def _open_for_write(self):
+        self.handle = open_excel(self.fname)
+
+    def list(self):
+        return self.handle.sheet_names()
+
+    def _read_array(self, key, *args, **kwargs):
+        return self.handle[key].load(*args, **kwargs)
+
+    def _dump(self, key, value, *args, **kwargs):
+        self.handle[key] = value.dump(*args, **kwargs)
+
+    def close(self):
+        self.handle.close()
+
+
+class PandasCSVHandler(FileHandler):
     def _open_for_read(self):
         pass
 
@@ -134,9 +155,18 @@ def close(self):
         pass
 
 
-ext_classes = {'h5': HDFHandler, 'hdf': HDFHandler,
-               'xls': ExcelHandler, 'xlsx': ExcelHandler,
-               'csv': CSVHandler}
+handler_classes = {
+    'pandas_hdf': PandasHDFHandler,
+    'pandas_excel': PandasExcelHandler,
+    'xlwings_excel': XLWingsHandler,
+    'pandas_csv': PandasCSVHandler
+}
+
+ext_default_engine = {
+    'h5': 'pandas_hdf', 'hdf': 'pandas_hdf',
+    'xls': 'xlwings_excel', 'xlsx': 'xlwings_excel',
+    'csv': 'pandas_csv'
+}
 
 
 class Session(object):
@@ -198,7 +228,7 @@ def __getattr__(self, key):
     def __setattr__(self, key, value):
         self._objects[key] = value
 
-    def load(self, fname, names=None, fmt='auto', display=False, **kwargs):
+    def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """Load LArray objects from a file.
 
         Parameters
@@ -208,9 +238,9 @@ def load(self, fname, names=None, fmt='auto', display=False, **kwargs):
         names : list of str, optional
             List of arrays to load. Defaults to all valid objects present in
             the file/directory.
-        fmt : str, optional
-            Dump to the `fmt` format. Defaults to 'auto' (guess from
-            filename).
+        engine : str, optional
+            Load using `engine`. Defaults to 'auto' (use default engine for
+            the format guessed from the file extension).
         display : bool, optional
             whether or not to display which file is being worked on. Defaults
             to False.
@@ -218,16 +248,17 @@ def load(self, fname, names=None, fmt='auto', display=False, **kwargs):
         if display:
             print("opening", fname)
         # TODO: support path + *.csv
-        if fmt == 'auto':
+        if engine == 'auto':
             _, ext = os.path.splitext(fname)
-            fmt = ext.strip('.')
-        handler = ext_classes[fmt](fname)
+            engine = ext_default_engine[ext.strip('.')]
+        handler_cls = handler_classes[engine]
+        handler = handler_cls(fname)
         arrays = handler.read_arrays(names, display=display, **kwargs)
         for k, v in arrays.items():
             self[k] = v
 
-    def dump(self, fname, names=None, fmt='auto', display=False, **kwargs):
-        """Dumps all LArray objects to a file.
+    def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
+        """Dumps all arrays from session to a file.
 
         Parameters
         ----------
@@ -236,17 +267,18 @@ def dump(self, fname, names=None, fmt='auto', display=False, **kwargs):
         names : list of str or None, optional
             list of names of objects to dump. Defaults to all objects
             present in the Session.
-        fmt : str, optional
-            Dump to the `fmt` format. Defaults to 'auto' (guess from
-            filename).
+        engine : str, optional
+            Dump using `engine`. Defaults to 'auto' (use default engine for
+            the format guessed from the file extension).
         display : bool, optional
             whether or not to display which file is being worked on. Defaults
             to False.
         """
-        if fmt == 'auto':
+        if engine == 'auto':
             _, ext = os.path.splitext(fname)
-            fmt = ext.strip('.')
-        handler = ext_classes[fmt](fname)
+            engine = ext_default_engine[ext.strip('.')]
+        handler_cls = handler_classes[engine]
+        handler = handler_cls(fname)
         arrays = self.filter(kind=LArray).items()
         if names is not None:
             names_set = set(names)
@@ -254,13 +286,13 @@ def dump(self, fname, names=None, fmt='auto', display=False, **kwargs):
         handler.dump_arrays(arrays, display=display, **kwargs)
 
     def dump_hdf(self, fname, names=None, *args, **kwargs):
-        self.dump(fname, names, 'hdf', *args, **kwargs)
+        self.dump(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
     def dump_excel(self, fname, names=None, *args, **kwargs):
-        self.dump(fname, names, 'xlsx', *args, **kwargs)
+        self.dump(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
     def dump_csv(self, fname, names=None, *args, **kwargs):
-        self.dump(fname, names, 'csv', *args, **kwargs)
+        self.dump(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):
         """Return a new Session with objects which match some criteria.
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 34ea1f302..a5ab3c3e4 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -109,7 +109,7 @@ def test_load(self):
         self.assertEqual(s.names, ['e', 'f'])
 
         s = Session()
-        s.load('test_session_csv', fmt='csv')
+        s.load('test_session_csv', engine='pandas_csv')
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
     def test_eq(self):

From ac0f4eee35c22ace26849b368cc5514ec76618bd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 12:49:50 +0200
Subject: [PATCH 073/899] CLN: remove unused import

---
 larray/tests/test_la.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index a7f4ade8a..cc4e51bfc 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, view, mean, var, std, isnan,
-                    round, local_arrays)
+                    round)
 from larray.core import to_ticks, to_key, srange, df_aslarray
 
 

From 73422f4f9089f8446187f3d1833bfe44cafda282 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 12:51:16 +0200
Subject: [PATCH 074/899] implemented utils.unique_list, which is faster than
 list(unique(x)), which is what we do most of the cases

---
 larray/utils.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/larray/utils.py b/larray/utils.py
index e03f23f1b..6f7a2246b 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -161,6 +161,24 @@ def unique(iterable):
             yield element
 
 
+def unique_list(iterable):
+    """
+    Returns a list of all unique elements, preserving order. Remember all
+    elements ever seen.
+    >>> unique_list('AAAABBBCCDAABBB')
+    ['A', 'B', 'C', 'D']
+    """
+    seen = set()
+    seen_add = seen.add
+    res = []
+    res_append = res.append
+    for element in iterable:
+        if element not in seen:
+            seen_add(element)
+            res_append(element)
+    return res
+
+
 def duplicates(iterable):
     """
     List duplicated elements once, preserving order. Remember all elements ever

From 9de7552d193fd83c370a66faeaee30c5700c532b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 14:36:20 +0200
Subject: [PATCH 075/899] moved open_excel shim (when xlwings is not found) to
 excel module

so that sessions work even if xlwings is not installted
---
 larray/__init__.py | 10 +---------
 larray/excel.py    |  4 ++++
 2 files changed, 5 insertions(+), 9 deletions(-)

diff --git a/larray/__init__.py b/larray/__init__.py
index c1758781c..d43770c0c 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -3,7 +3,7 @@
 from larray.core import *
 from larray.session import *
 from larray.ufuncs import *
-# import larray.xw_compat
+from larray.excel import open_excel
 
 try:
     import sys
@@ -34,11 +34,3 @@ def edit(*args, **kwargs):
     def compare(*args, **kwargs):
         raise Exception('compare() is not available because Qt is not '
                         'installed')
-
-
-try:
-    from larray.excel import open_excel
-except ImportError:
-    def open_excel(*args, **kwargs):
-        raise Exception("open_excel() is not available because xlwings "
-                        "is not installed")
diff --git a/larray/excel.py b/larray/excel.py
index 73f2f8560..742b456ea 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -427,3 +427,7 @@ def load(self, header=True, convert_float=True, nb_index=0,
     # XXX: remove this function?
     def open_excel(filepath=None, **kwargs):
         return Workbook(filepath, **kwargs)
+else:
+    def open_excel(filepath=None, **kwargs):
+        raise Exception("open_excel() is not available because xlwings "
+                        "is not installed")

From a87c12ee40a42479d8d0aa2d1f8ae69bbc3da285 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 14:39:20 +0200
Subject: [PATCH 076/899] changed sessions tests so that it passes without
 xlwings installed

---
 larray/tests/test_session.py | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index a5ab3c3e4..d002439fe 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -90,9 +90,12 @@ def test_names(self):
 
     def test_dump(self):
         self.session.dump('test_session.h5')
-        self.session.dump('test_session.xlsx')
-        self.session.dump('test_session_ef.xlsx', ['e', 'f'])
-        self.session.dump_excel('test_session2.xlsx')
+        self.session.dump('test_session.xlsx', engine='pandas_excel')
+        self.session.dump('test_session_ef.xlsx', ['e', 'f'],
+                          engine='pandas_excel')
+        # dump_excel uses default engine (xlwings) which is not available on
+        # travis
+        # self.session.dump_excel('test_session2.xlsx')
         self.session.dump_csv('test_session_csv')
 
     def test_load(self):
@@ -105,7 +108,7 @@ def test_load(self):
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
         s = Session()
-        s.load('test_session_ef.xlsx')
+        s.load('test_session_ef.xlsx', engine='pandas_excel')
         self.assertEqual(s.names, ['e', 'f'])
 
         s = Session()
@@ -175,8 +178,9 @@ def test_init(self):
         s = Session('test_session.h5')
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
-        s = Session('test_session_ef.xlsx')
-        self.assertEqual(s.names, ['e', 'f'])
+        # this needs xlwings installed
+        # s = Session('test_session_ef.xlsx')
+        # self.assertEqual(s.names, ['e', 'f'])
 
         # TODO: format autodetection does not work in this case
         # s = Session('test_session_csv')

From 579a73a3d72f600a3154be1ec9b4310aab55535e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 16:42:02 +0200
Subject: [PATCH 077/899] shortcut to determine whether an Axis is compatible
 with itself

---
 larray/core.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 496866206..4f537d90b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -823,6 +823,8 @@ def subaxis(self, key, name=None):
         return Axis(name, labels)
 
     def iscompatible(self, other):
+        if self is other:
+            return True
         if not isinstance(other, Axis):
             return False
         if self.name is not None and other.name is not None and \

From 460dea253d05d67e740af088750a4e1f69468640 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 16:44:01 +0200
Subject: [PATCH 078/899] AxisCollection.check_compatible use get_by_pos (so
 that anonymous axes are tried by object before by position)

---
 larray/core.py | 18 ++++--------------
 1 file changed, 4 insertions(+), 14 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4f537d90b..a70e46229 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1530,20 +1530,10 @@ def append(self, axis):
 
     def check_compatible(self, axes):
         for i, axis in enumerate(axes):
-            # XXX: use self.get_by_pos?
-            # if axis in self:
-            #     local_axis = self[axis]
-            # else:
-            #     local_axis = self[i] if i < len(self) else None
-
-            if axis.name is not None:
-                local_axis = self._map.get(axis.name)
-            else:
-                local_axis = self[i] if i < len(self) else None
-            if local_axis is not None:
-                if not local_axis.iscompatible(axis):
-                    raise ValueError("incompatible axes:\n%r\nvs\n%r"
-                                     % (axis, local_axis))
+            local_axis = self.get_by_pos(axis, i)
+            if not local_axis.iscompatible(axis):
+                raise ValueError("incompatible axes:\n%r\nvs\n%r"
+                                 % (axis, local_axis))
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """

From a0794631c72127c685446a0c14d28f0aa03fd1ca Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 16:45:51 +0200
Subject: [PATCH 079/899] added check in "a[bool_larray_key]" to make sure
 key.axes are compatible with a.axes

---
 larray/core.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a70e46229..65ae89c28 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2635,8 +2635,9 @@ def translated_key(self, key, bool_stuff=False):
                 # but is slow for large axes and broken if axis labels are
                 # modified in-place, which I am unsure I want to support
                 # anyway
-
-                map_key = dict(zip(key.axes, np.asarray(key).nonzero()))
+                self.axes.check_compatible(key.axes)
+                local_axes = [self.axes[axis] for axis in key.axes]
+                map_key = dict(zip(local_axes, np.asarray(key).nonzero()))
                 return tuple(map_key.get(axis, slice(None))
                              for axis in self.axes)
             else:

From 0ead1f275007724ea058d2cfb666155a1139ece8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 11:39:04 +0200
Subject: [PATCH 080/899] excel Workbook: fixed creating a new file via
 open_excel()

---
 larray/excel.py | 12 +++++++++---
 1 file changed, 9 insertions(+), 3 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 742b456ea..957e65cda 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -84,9 +84,15 @@ def __init__(self, filepath, *args, **kwargs):
                 if 'app_visible' not in kwargs:
                     kwargs['app_visible'] = None
                 self.was_open = xw.xlplatform.is_file_open(filepath)
-                xw_wkb = xw.Workbook(filepath, *args, **kwargs)
-                # if os.path.isfile(filepath) and overwrite_file:
-                #     os.remove(filepath)
+                if os.path.isfile(filepath):
+                    # if os.path.isfile(filepath) and overwrite_file:
+                    #     os.remove(filepath)
+                    xw_wkb = xw.Workbook(filepath, *args, **kwargs)
+                else:
+                    # this is ugly but this is the only way I found to
+                    # create a new workbook and set its filepath
+                    xw_wkb = xw.Workbook(*args, **kwargs)
+                    xw_wkb.save(filepath)
             self.xw_wkb = xw_wkb
 
         def _concrete_key(self, key):

From 87f80b292b0fd871ba43c28e5dd6b88003162b23 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 11:40:51 +0200
Subject: [PATCH 081/899] fixed session.dump() via xlwings

the workbook should be saved before closing it :)
---
 larray/session.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/larray/session.py b/larray/session.py
index a3f89eaf5..bec381599 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -33,6 +33,9 @@ def _read_array(self, key, *args, **kwargs):
     def _dump(self, key, value, *args, **kwargs):
         raise NotImplementedError()
 
+    def save(self):
+        pass
+
     def close(self):
         raise NotImplementedError()
 
@@ -61,6 +64,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
             self._dump(key, value, *args, **kwargs)
             if display:
                 print("done")
+        self.save()
         self.close()
 
 
@@ -122,6 +126,9 @@ def _read_array(self, key, *args, **kwargs):
     def _dump(self, key, value, *args, **kwargs):
         self.handle[key] = value.dump(*args, **kwargs)
 
+    def save(self):
+        self.handle.save()
+
     def close(self):
         self.handle.close()
 

From 0f4aa714f59aca0ad02c2628aa40ce57c54defde Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 11:48:57 +0200
Subject: [PATCH 082/899] when dumping a session, use .names so that arrays are
 dumped in a predictable order

this only matters for Excel though (so that sheets are sorted
alphabetically)
---
 larray/session.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/larray/session.py b/larray/session.py
index bec381599..8c9271b26 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -286,7 +286,9 @@ def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
             engine = ext_default_engine[ext.strip('.')]
         handler_cls = handler_classes[engine]
         handler = handler_cls(fname)
-        arrays = self.filter(kind=LArray).items()
+        filtered = self.filter(kind=LArray)
+        # not using .items() so that arrays are sorted
+        arrays = [(k, filtered[k]) for k in filtered.names]
         if names is not None:
             names_set = set(names)
             arrays = [(k, v) for k, v in arrays if k in names_set]

From 743c4cacf3e6120d306bc9f38d3b4d877c66075f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 11:50:09 +0200
Subject: [PATCH 083/899] fixed using viewer from an IPython console

---
 larray/viewer.py | 29 +++++++++++++++++++++++------
 1 file changed, 23 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index fee01a057..9451f2aa2 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -110,9 +110,26 @@
 try:
     from qtconsole.rich_jupyter_widget import RichJupyterWidget
     from qtconsole.inprocess import QtInProcessKernelManager
-    qtconsole_present = True
+    from IPython import get_ipython
+
+    ipython_instance = get_ipython()
+
+    # Having several instances of IPython of different types in the same
+    # process are not supported. We use
+    # ipykernel.inprocess.ipkernel.InProcessInteractiveShell
+    # and qtconsole and notebook use
+    # ipykernel.zmqshell.ZMQInteractiveShell, so this cannot work.
+    # For now, we simply fallback to not using IPython if we are run
+    # from IPython (whether qtconsole or notebook). The correct solution is
+    # probably to run the IPython console in a different process but I do not
+    # know what would be the consequences. I fear it could be slow to transfer
+    # the session data to the other process.
+    if ipython_instance is None:
+        qtconsole_available = True
+    else:
+        qtconsole_available = False
 except ImportError:
-    qtconsole_present = False
+    qtconsole_available = False
 
 
 from larray.combo import FilterComboBox, FilterMenu
@@ -1723,7 +1740,7 @@ def setup_and_check(self, data, title='', readonly=False,
 
         self.arraywidget = ArrayEditorWidget(self, la.zeros(1), readonly)
 
-        if qtconsole_present:
+        if qtconsole_available:
             # Create an in-process kernel
             kernel_manager = QtInProcessKernelManager()
             kernel_manager.start_kernel(show_banner=False)
@@ -1780,7 +1797,7 @@ def setup_and_check(self, data, title='', readonly=False,
         # and this closes the window.
         # FIXME: not having the buttons is a bit radical but I am out of time
         #        for this.
-        if qtconsole_present:
+        if qtconsole_available:
             # Buttons configuration
             btn_layout = QHBoxLayout()
             btn_layout.addStretch()
@@ -1824,7 +1841,7 @@ def update_session(self, value):
 
             to_display = changed_keys[0]
 
-            if not qtconsole_present:
+            if not qtconsole_available:
                 self.expressions[to_display] = s
 
             changed_items = self._listwidget.findItems(to_display,
@@ -1871,7 +1888,7 @@ def on_item_changed(self, curr, prev):
         name = str(curr.text())
         self.arraywidget.set_data(self.data[name])
         expr = self.expressions.get(name, name)
-        if qtconsole_present:
+        if qtconsole_available:
             # # does not update
             # self.kernel.shell.set_next_input(expr, replace=True)
             # self.kernel_client.input(expr)

From ceb22c765563df22f3f463553611383a19008fb4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 11:57:13 +0200
Subject: [PATCH 084/899] update & greatly expand tutorial/usage notebook

---
 doc/notebooks/LArray usage.ipynb | 5425 ++++++++++++++++++++++++++++--
 1 file changed, 5076 insertions(+), 349 deletions(-)

diff --git a/doc/notebooks/LArray usage.ipynb b/doc/notebooks/LArray usage.ipynb
index 7525c76ff..b59878e2b 100644
--- a/doc/notebooks/LArray usage.ipynb	
+++ b/doc/notebooks/LArray usage.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
@@ -11,11 +11,22 @@
     "from larray import *"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Loading"
+    "# Basic input/output"
    ]
   },
   {
@@ -26,7 +37,7 @@
    },
    "outputs": [],
    "source": [
-    "a = read_csv('test.csv')"
+    "a = read_csv('test3d.csv')"
    ]
   },
   {
@@ -39,19 +50,17 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "age | geo | sex\\lipro |             P01 | ... |            P15\n",
-       "  0 | A11 |         F |  0.444719251373 | ... | 0.857357338422\n",
-       "  0 | A11 |         H |  0.190309636993 | ... |  0.14832969697\n",
-       "  0 | A12 |         F |  0.525551565311 | ... | 0.318208198697\n",
-       "  0 | A12 |         H |  0.238886570471 | ... | 0.319796432449\n",
-       "  0 | A13 |         F |  0.392189019207 | ... | 0.574969923834\n",
-       "... | ... |       ... |             ... | ... |            ...\n",
-       "115 | A91 |         H |  0.391566460037 | ... | 0.728229419264\n",
-       "115 | A92 |         F | 0.0744904918105 | ... | 0.818109781716\n",
-       "115 | A92 |         H |  0.110161927992 | ... |  0.71327740658\n",
-       "115 | A93 |         F |  0.260923731957 | ... | 0.277366470012\n",
-       "115 | A93 |         H | 0.0968159351789 | ... |  0.32785443685"
+       "age | sex\\time | 2007 | 2010 | 2013\n",
+       "  0 |        F | 3722 | 3395 | 3347\n",
+       "  0 |        H |  338 |  316 |  323\n",
+       "  1 |        F | 2878 | 2791 | 2822\n",
+       "  1 |        H | 1121 | 1037 |  976\n",
+       "  2 |        F | 4073 | 4161 | 4429\n",
+       "  2 |        H | 1561 | 1463 | 1467\n",
+       "  3 |        F | 3507 | 3741 | 3366\n",
+       "  3 |        H | 2052 | 2052 | 2118\n",
+       "  4 |        F | 4807 | 4868 | 4852\n",
+       "  4 |        H | 3785 | 3508 | 3172"
       ]
      },
      "execution_count": 4,
@@ -67,34 +76,12 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo | sex\\lipro |             P01 | ... |             P15\n",
-       "  0 | A11 |         H |  0.190309636993 | ... |   0.14832969697\n",
-       "  0 | A11 |         F |  0.444719251373 | ... |  0.857357338422\n",
-       "  0 | A12 |         H |  0.238886570471 | ... |  0.319796432449\n",
-       "  0 | A12 |         F |  0.525551565311 | ... |  0.318208198697\n",
-       "  0 | A13 |         H |  0.996500945466 | ... | 0.0680649644884\n",
-       "... | ... |       ... |             ... | ... |             ...\n",
-       "115 | A92 |         F | 0.0744904918105 | ... |  0.818109781716\n",
-       "115 | A93 |         H | 0.0968159351789 | ... |   0.32785443685\n",
-       "115 | A93 |         F |  0.260923731957 | ... |  0.277366470012\n",
-       "115 | A21 |         H |  0.647621552761 | ... | 0.0584404925351\n",
-       "115 | A21 |         F |  0.583489886972 | ... | 0.0380375565898"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "read_csv('test.csv', sort_rows=False) # this is less efficient"
+    "# writing it back to a .csv file\n",
+    "a.to_csv('other_test.csv')"
    ]
   },
   {
@@ -103,31 +90,11 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "116 x 44 x 2 x 15\n",
-       " age [116]: 0 1 2 ... 113 114 115\n",
-       " geo [44]: 'A11' 'A12' 'A13' ... 'A91' 'A92' 'A93'\n",
-       " sex [2]: 'F' 'H'\n",
-       " lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
+   "outputs": [],
    "source": [
-    "# Subsets"
+    "# ... or an Excel file\n",
+    "# if the file does not already exist, it is created with a single sheet, otherwise a new sheet is added to it\n",
+    "a.to_excel('test3d.xlsx')"
    ]
   },
   {
@@ -136,43 +103,22 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo\\lipro |             P01 |             P02 |            P03\n",
-       " 10 |       A11 |  0.535583193122 |  0.907643374199 | 0.543002311716\n",
-       " 10 |       A12 |  0.903291912629 | 0.0572099558245 | 0.582381520479\n",
-       " 10 |       A13 |  0.469461685932 | 0.0670163452205 |  0.55629091369\n",
-       " 10 |       A21 |    0.9734778082 |  0.317804797686 | 0.166550538449\n",
-       " 10 |       A23 |  0.478404146288 |  0.491018325693 | 0.559592793556\n",
-       "... |       ... |             ... |             ... |            ...\n",
-       " 19 |       A84 |   0.80883179013 |  0.992894544001 | 0.044995377724\n",
-       " 19 |       A85 | 0.0572309653153 |  0.970772472985 | 0.580846330739\n",
-       " 19 |       A91 |  0.604907113218 |  0.765298653884 | 0.215328975058\n",
-       " 19 |       A92 |  0.277793215869 | 0.0874388749842 | 0.933196289014\n",
-       " 19 |       A93 |  0.451208013092 |   0.37275177365 | 0.528825043318"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "a.filter(age=slice(10, 19), sex='F', lipro=':P03')"
+    "# reading it back in another variable (reads the first sheet by default)\n",
+    "b = read_excel('test3d.xlsx')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "age, geo, sex, lipro = a.axes"
+    "# it is usually better to specify the sheet explicitly (by name or position) though\n",
+    "b.to_excel('other_test.xlsx', 'my_sheet')"
    ]
   },
   {
@@ -181,32 +127,9 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo\\lipro |             P01 |             P02 |            P03\n",
-       " 10 |       A11 |  0.535583193122 |  0.907643374199 | 0.543002311716\n",
-       " 10 |       A12 |  0.903291912629 | 0.0572099558245 | 0.582381520479\n",
-       " 10 |       A13 |  0.469461685932 | 0.0670163452205 |  0.55629091369\n",
-       " 10 |       A21 |    0.9734778082 |  0.317804797686 | 0.166550538449\n",
-       " 10 |       A23 |  0.478404146288 |  0.491018325693 | 0.559592793556\n",
-       "... |       ... |             ... |             ... |            ...\n",
-       " 19 |       A84 |   0.80883179013 |  0.992894544001 | 0.044995377724\n",
-       " 19 |       A85 | 0.0572309653153 |  0.970772472985 | 0.580846330739\n",
-       " 19 |       A91 |  0.604907113218 |  0.765298653884 | 0.215328975058\n",
-       " 19 |       A92 |  0.277793215869 | 0.0874388749842 | 0.933196289014\n",
-       " 19 |       A93 |  0.451208013092 |   0.37275177365 | 0.528825043318"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "a.filter(age=age[10:19], sex='F', lipro=':P03')"
+    "c = read_excel('other_test.xlsx', 'my_sheet')"
    ]
   },
   {
@@ -219,10 +142,17 @@
     {
      "data": {
       "text/plain": [
-       "10 x 44 x 3\n",
-       " age [10]: 10 11 12 ... 17 18 19\n",
-       " geo [44]: 'A11' 'A12' 'A13' ... 'A91' 'A92' 'A93'\n",
-       " lipro [3]: 'P01' 'P02' 'P03'"
+       "age | sex\\time | 2007 | 2010 | 2013\n",
+       "  0 |        F | 3722 | 3395 | 3347\n",
+       "  0 |        H |  338 |  316 |  323\n",
+       "  1 |        F | 2878 | 2791 | 2822\n",
+       "  1 |        H | 1121 | 1037 |  976\n",
+       "  2 |        F | 4073 | 4161 | 4429\n",
+       "  2 |        H | 1561 | 1463 | 1467\n",
+       "  3 |        F | 3507 | 3741 | 3366\n",
+       "  3 |        H | 2052 | 2052 | 2118\n",
+       "  4 |        F | 4807 | 4868 | 4852\n",
+       "  4 |        H | 3785 | 3508 | 3172"
       ]
      },
      "execution_count": 10,
@@ -231,7 +161,15 @@
     }
    ],
    "source": [
-    "a[age[10:19], sex['F'], lipro[':P03']].info"
+    "# after a round-trip it is the same as before\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Inspecting"
    ]
   },
   {
@@ -244,19 +182,10 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "geo | age | sex\\lipro |             P01 |             P02 | ... |             P14 |            P15\n",
-       "A11 |   0 |         F |  0.444719251373 |  0.104695980838 | ... |  0.952346693326 | 0.857357338422\n",
-       "A11 |   0 |         H |  0.190309636993 |  0.335642369715 | ... |   0.23400284437 |  0.14832969697\n",
-       "A11 |   1 |         F |  0.559803413008 |  0.351865844638 | ... |  0.967182623016 | 0.877175711338\n",
-       "A11 |   1 |         H |  0.327116891552 |  0.484645912432 | ... | 0.0284835154138 | 0.498051650916\n",
-       "A11 |   2 |         F |  0.949967449501 |  0.475757094424 | ... |  0.152028652961 | 0.223858387695\n",
-       "... | ... |       ... |             ... |             ... | ... |             ... |            ...\n",
-       "A93 | 113 |         H |  0.962987092586 |  0.249248428275 | ... |  0.955409495707 | 0.481918008908\n",
-       "A93 | 114 |         F |  0.166778419369 |  0.250749041642 | ... |  0.512821101609 | 0.568783082515\n",
-       "A93 | 114 |         H |  0.116064691352 |  0.846064135762 | ... |  0.999957770615 | 0.696735430371\n",
-       "A93 | 115 |         F |  0.260923731957 |  0.852319460201 | ... |  0.875187588136 | 0.277366470012\n",
-       "A93 | 115 |         H | 0.0968159351789 | 0.0533891559548 | ... |  0.605907315105 |  0.32785443685"
+       "5 x 2 x 3\n",
+       " age [5]: 0 1 2 3 4\n",
+       " sex [2]: 'F' 'H'\n",
+       " time [3]: 2007 2010 2013"
       ]
      },
      "execution_count": 11,
@@ -265,7 +194,8 @@
     }
    ],
    "source": [
-    "a.transpose('geo', 'age')"
+    "# summary of axes information\n",
+    "a.info"
    ]
   },
   {
@@ -274,13 +204,20 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(5, 2, 3)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \\\n",
-    "      'A43,A44,A45,A46,A71,A72,A73'\n",
-    "wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \\\n",
-    "      'A83,A84,A85,A91,A92,A93'\n",
-    "bru = 'A21'"
+    "a.shape"
    ]
   },
   {
@@ -293,19 +230,7 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "age | geo | sex\\lipro |             P01 |             P02 | ... |            P14 |            P15\n",
-       "  0 | A11 |         F |  0.444719251373 |  0.104695980838 | ... | 0.952346693326 | 0.857357338422\n",
-       "  0 | A11 |         H |  0.190309636993 |  0.335642369715 | ... |  0.23400284437 |  0.14832969697\n",
-       "  0 | A12 |         F |  0.525551565311 |   0.76756879464 | ... | 0.195849317134 | 0.318208198697\n",
-       "  0 | A12 |         H |  0.238886570471 | 0.0196763224555 | ... | 0.180263285931 | 0.319796432449\n",
-       "  0 | A13 |         F |  0.392189019207 |  0.612696515983 | ... | 0.199982435325 | 0.574969923834\n",
-       "... | ... |       ... |             ... |             ... | ... |            ... |            ...\n",
-       "115 | A71 |         H |  0.966296563913 |  0.543436587821 | ... | 0.556138400773 | 0.889400334367\n",
-       "115 | A72 |         F | 0.0415274609052 |  0.712388265628 | ... | 0.954952258212 |  0.24686604991\n",
-       "115 | A72 |         H |   0.47467660042 | 0.0887625684572 | ... | 0.876874512088 | 0.598036667603\n",
-       "115 | A73 |         F |  0.116741064304 |  0.812163030273 | ... | 0.534641776825 |  0.69228208191\n",
-       "115 | A73 |         H |  0.317726256191 |  0.392744829078 | ... | 0.865299389507 | 0.516535714438"
+       "30"
       ]
      },
      "execution_count": 13,
@@ -314,21 +239,8 @@
     }
    ],
    "source": [
-    "a[geo[vla]]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Aggregates"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## full axes"
+    "# number of elements\n",
+    "a.size"
    ]
   },
   {
@@ -341,10 +253,7 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro |           P01 |           P02 | ... |           P14 |           P15\n",
-       "        F | 2524.69770789 | 2549.95634634 | ... | 2524.80212436 | 2518.22600648\n",
-       "        H | 2547.29881892 | 2587.16877625 | ... | 2565.67249288 | 2588.22747713"
+       "240"
       ]
      },
      "execution_count": 14,
@@ -353,118 +262,72 @@
     }
    ],
    "source": [
-    "a.sum(geo, age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## by group"
+    "# size in memory\n",
+    "a.nbytes"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "sex\\lipro |           P01 |           P02 | ... |           P14 |           P15\n",
-       "        F | 1257.41891451 | 1262.11178447 | ... |  1249.2718058 | 1261.63605388\n",
-       "        H | 1258.84650127 | 1282.23536837 | ... | 1269.91668621 | 1301.38479936"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "a.sum(age, geo[vla])"
+    "# this will open a new window and block execution of the rest of code until the windows is closed!\n",
+    "view(a)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 16,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "                                                                                    geo | sex\\lipro | ...\n",
-       "A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 |         F | ...\n",
-       "A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 |         H | ...\n",
-       "    A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 |         F | ...\n",
-       "    A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 |         H | ...\n",
-       "                                                                                    A21 |         F | ...\n",
-       "                                                                                    A21 |         H | ..."
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "a.sum(age, geo=(vla, wal, bru))"
+    "# an array can also be viewed in a \"live\" Excel instance by not specifying any filename in to_excel\n",
+    "a.to_excel()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Using named groups"
+    "# Create arrays from scratch"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "vla = geo.group(vla, name='Flanders')\n",
-    "wal = geo.group(wal, name='wal')\n",
-    "bru = geo.group(bru, name='bru')\n",
-    "bel = geo.all('belgium')"
+    "age = Axis('age', range(100))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "b = a.sum(age, geo=(vla, wal, bru, bel))"
+    "sex = Axis('sex', ['M', 'F'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 19,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "agg.to_"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Operations on aggregated arrays"
+    "time = Axis('time', range(2016, 2020))"
    ]
   },
   {
@@ -473,9 +336,24 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "aggvla = agg[vla]"
+    "# ndrange is mostly useful for testing and examples, it fills an array with increasing numbers\n",
+    "# (garantees that each cell has a unique value)\n",
+    "ndrange([sex, time])"
    ]
   },
   {
@@ -488,10 +366,8 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro |           P01 |           P02 | ... |           P14 |           P15\n",
-       "        F | 1257.41891451 | 1262.11178447 | ... |  1249.2718058 | 1261.63605388\n",
-       "        H | 1258.84650127 | 1282.23536837 | ... | 1269.91668621 | 1301.38479936"
+       "{0}* | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9\n",
+       "     | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9"
       ]
      },
      "execution_count": 21,
@@ -500,7 +376,8 @@
     }
    ],
    "source": [
-    "aggvla"
+    "# or if you are in a hurry / do not want to specify labels for your axes\n",
+    "ndrange(10)"
    ]
   },
   {
@@ -513,10 +390,10 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro |       P01,P02 |       P03:P05 |       P07:P11\n",
-       "        F | 2519.53069898 | 3834.76571855 | 6383.13302993\n",
-       "        H | 2541.08186964 | 3855.37262749 | 6396.31174074"
+       "{0}*\\{1}* | 0 | 1 |  2 |  3\n",
+       "        0 | 0 | 1 |  2 |  3\n",
+       "        1 | 4 | 5 |  6 |  7\n",
+       "        2 | 8 | 9 | 10 | 11"
       ]
      },
      "execution_count": 22,
@@ -525,7 +402,7 @@
     }
    ],
    "source": [
-    "aggvla.sum(lipro='P01,P02;P03:P05;P07:P11')"
+    "ndrange([3, 4])"
    ]
   },
   {
@@ -534,46 +411,39 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
-   "source": [
-    "# does not work yet (no idea why)\n",
-    "# aggvla.sum(sex='H;F;H,F')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex |             F |             H\n",
-       "    | 2519.53069898 | 2541.08186964"
+       "sex | M | F\n",
+       "    | 0 | 1"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "agg[vla, lipro['P01']] + agg[vla, lipro['P02']]"
+    "# for real model use, create sequential is usually more interesting. It increments values (by one by default)\n",
+    "# along a single axis (even if the result is multi-dimensional)\n",
+    "create_sequential(sex)"
    ]
   },
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
    "source": [
-    "# Arithmetic operations"
+    "bysex = create_sequential(sex, initial=1.0, inc=0.5)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -581,19 +451,17 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro |           P01 |           P02 | ... |           P14 |           P15\n",
-       "        F | 3.28078522152 | 3.29302958834 | ... | 3.25952825337 |  3.2917883394\n",
-       "        H | 3.28450999892 |  3.3455348878 | ... | 3.31339368974 | 3.39549848344"
+       "sex |   M |   F\n",
+       "    | 1.0 | 1.5"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "aggvla / aggvla.sum() * 100"
+    "bysex"
    ]
   },
   {
@@ -606,10 +474,9 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro | P01 | P02 | P03 | P04 | P05 | ... | P11 | P12 | P13 | P14 | P15\n",
-       "        F | 2.0 | 2.0 | 2.0 | 2.0 | 2.0 | ... | 2.0 | 2.0 | 2.0 | 2.0 | 2.0\n",
-       "        H | 2.0 | 2.0 | 2.0 | 2.0 | 2.0 | ... | 2.0 | 2.0 | 2.0 | 2.0 | 2.0"
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M | 10.0 | 11.0 | 12.0 | 13.0\n",
+       "       F | 10.0 | 11.5 | 13.0 | 14.5"
       ]
      },
      "execution_count": 26,
@@ -618,30 +485,50 @@
     }
    ],
    "source": [
-    "aggvla * 2 / aggvla"
+    "# the increment can be itself an larray (ie the increment will be different depending on its axes)\n",
+    "create_sequential(time, initial=10.0, inc=bysex)"
    ]
   },
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 |  2019\n",
+       "       M | 10.0 | 10.0 | 10.0 |  10.0\n",
+       "       F | 10.0 | 15.0 | 22.5 | 33.75"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "## on arrays with a different axis order"
+    "# likewise, it can also be used to incrementally multiply along an axis (for example, if you have growth rates)\n",
+    "create_sequential(time, initial=10.0, mult=bysex)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "t = aggvla.transpose()"
+    "# creating an array initialized by duplicating a value\n",
+    "b = full([sex, time], 42)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -649,37 +536,23 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "lipro\\sex |             F |             H\n",
-       "      P01 | 1257.41891451 | 1258.84650127\n",
-       "      P02 | 1262.11178447 | 1282.23536837\n",
-       "      P03 |  1269.8737265 | 1278.89450299\n",
-       "      P04 | 1290.02428115 | 1287.85009927\n",
-       "      P05 |  1274.8677109 | 1288.62802523\n",
-       "      P06 | 1277.25384401 | 1291.28395492\n",
-       "      P07 | 1273.77730123 | 1277.97810064\n",
-       "      P08 | 1276.36834354 | 1287.65325021\n",
-       "      P09 | 1303.26548186 |  1276.8684769\n",
-       "      P10 | 1255.26751446 | 1271.02951343\n",
-       "      P11 | 1274.45438884 | 1282.78239956\n",
-       "      P12 | 1282.53299787 | 1267.04452183\n",
-       "      P13 | 1298.07892426 | 1298.16793633\n",
-       "      P14 |  1249.2718058 | 1269.91668621\n",
-       "      P15 | 1261.63605388 | 1301.38479936"
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |   42 |   42 |   42 |   42\n",
+       "       F |   42 |   42 |   42 |   42"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "t"
+    "b"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -687,31 +560,48 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "sex\\lipro |           P01 |           P02 | ... |           P14 |           P15\n",
-       "        F | 2514.83782901 | 2524.22356894 | ... | 2498.54361161 | 2523.27210776\n",
-       "        H | 2517.69300253 | 2564.47073674 | ... | 2539.83337242 | 2602.76959872"
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  1.0 |  1.0 |  1.0 |  1.0\n",
+       "       F |  1.5 |  1.5 |  1.5 |  1.5"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "aggvla + t"
+    "# the \"value\" can be an array too\n",
+    "full([sex, time], bysex)"
    ]
   },
   {
-   "cell_type": "markdown",
-   "metadata": {},
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  0.0 |  0.0 |  0.0 |  0.0\n",
+       "       F |  0.0 |  0.0 |  0.0 |  0.0"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "## with missing axes"
+    "zeros([sex, time])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -719,30 +609,23 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "     geo | sex\\lipro |             P01 | ... |             P15\n",
-       "Flanders |         F |             1.0 | ... |             1.0\n",
-       "Flanders |         H |             1.0 | ... |             1.0\n",
-       "     wal |         F |  0.957174200585 | ... |  0.951101552226\n",
-       "     wal |         H |  0.980152428259 | ... |   0.94624573877\n",
-       "     bru |         F | 0.0506671629946 | ... | 0.0448987988484\n",
-       "     bru |         H |  0.043365781748 | ... | 0.0425799171032\n",
-       " belgium |         F |   2.00784136358 | ... |   1.99600035107\n",
-       " belgium |         H |   2.02351821001 | ... |   1.98882565587"
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  1.0 |  1.0 |  1.0 |  1.0\n",
+       "       F |  1.0 |  1.0 |  1.0 |  1.0"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "agg / agg[vla]"
+    "ones([sex, time])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -750,41 +633,4885 @@
     {
      "data": {
       "text/plain": [
-       "\n",
-       "     geo | sex\\lipro |            P01 | ... |            P15\n",
-       "Flanders |         F | 0.499716328263 | ... | 0.492245723356\n",
-       "Flanders |         H | 0.500283671737 | ... | 0.507754276644\n",
-       "     wal |         F | 0.493785974209 | ... | 0.493525098585\n",
-       "     wal |         H | 0.506214025791 | ... | 0.506474901415\n",
-       "     bru |         F | 0.538541553694 | ... | 0.505501962023\n",
-       "     bru |         H | 0.461458446306 | ... | 0.494498037977\n",
-       " belgium |         F | 0.497771970968 | ... | 0.493145783969\n",
-       " belgium |         H | 0.502228029032 | ... | 0.506854216031"
+       "sex\\time | 2016 |      2017 |                 2018 |                 2019\n",
+       "       M |  0.0 |       0.0 |                  0.0 |                  0.0\n",
+       "       F |  0.0 | 8.42e-321 | 1.3750532725455e-311 | 1.3750532725455e-311"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "agg / agg.sum(sex)"
+    "# uninitialised array with correct axes (much faster but use with care!).\n",
+    "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there.\n",
+    "empty([sex, time])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 34,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# if you will initialize it ENTIRELY manually, and performance matters (in a loop for example), it can make sense to use that\n",
+    "# instead of the other functions (zeros, ...)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "e = empty([sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "e['F'] = 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": true
    },
    "outputs": [],
-   "source": []
+   "source": [
+    "e['M'] = time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time |   2016 |   2017 |   2018 |   2019\n",
+       "       M | 2016.0 | 2017.0 | 2018.0 | 2019.0\n",
+       "       F |    2.0 |    2.0 |    2.0 |    2.0"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "e"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    1 |    1 |    1 |    1\n",
+       "       F |    1 |    1 |    1 |    1"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# all the above function exist in *_like variants which takes axes from another array\n",
+    "ones_like(b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Getting subsets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us create some test array\n",
+    "a = ndrange([age, sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100 x 2 x 4\n",
+       " age [100]: 0 1 2 ... 97 98 99\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |   84 |   85 |   86 |   87"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# to take subsets of an array, use []. Single elements along an axis, drop the concerned dimensions, \n",
+    "# other dimensions are left intact. Here we take women aged 10:\n",
+    "a[10, 'F']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018\n",
+       " 10 |        M |   81 |   82\n",
+       " 10 |        F |   85 |   86\n",
+       " 11 |        M |   89 |   90\n",
+       " 11 |        F |   93 |   94\n",
+       " 12 |        M |   97 |   98\n",
+       " 12 |        F |  101 |  102\n",
+       " 13 |        M |  105 |  106\n",
+       " 13 |        F |  109 |  110"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can also take slices of an array (from a label to another label).\n",
+    "a[10:13, 2017:2018]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018 | 2019\n",
+       "  0 |        M |    1 |    2 |    3\n",
+       "  0 |        F |    5 |    6 |    7\n",
+       "  1 |        M |    9 |   10 |   11\n",
+       "  1 |        F |   13 |   14 |   15\n",
+       "  2 |        M |   17 |   18 |   19\n",
+       "  2 |        F |   21 |   22 |   23\n",
+       "  3 |        M |   25 |   26 |   27\n",
+       "  3 |        F |   29 |   30 |   31"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# slices bounds are optional: if not given start is assumed to be the first label and stop is the last one.\n",
+    "a[:3, 2017:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018 | 2019\n",
+       "  3 |        M |   25 |   26 |   27\n",
+       "  3 |        F |   29 |   30 |   31\n",
+       "  5 |        M |   41 |   42 |   43\n",
+       "  5 |        F |   45 |   46 |   47\n",
+       "  7 |        M |   57 |   58 |   59\n",
+       "  7 |        F |   61 |   62 |   63\n",
+       "  9 |        M |   73 |   74 |   75\n",
+       "  9 |        F |   77 |   78 |   79"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# slices can also have a step (defaults to 1), to take every Nth labels\n",
+    "a[3:9:2, 2017:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018\n",
+       " 10 |        M |   80 |   81 |   82\n",
+       " 10 |        F |   84 |   85 |   86\n",
+       " 12 |        M |   96 |   97 |   98\n",
+       " 12 |        F |  100 |  101 |  102\n",
+       " 15 |        M |  120 |  121 |  122\n",
+       " 15 |        F |  124 |  125 |  126"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can also use list of labels to take non-contiguous labels\n",
+    "a[[10, 12, 15], :2018]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\time | 2016 | 2018 | 2019\n",
+       "      10 |   84 |   86 |   87\n",
+       "      12 |  100 |  102 |  103\n",
+       "      14 |  116 |  118 |  119\n",
+       "      16 |  132 |  134 |  135\n",
+       "      18 |  148 |  150 |  151"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can combine all of the above\n",
+    "a[10:18:2, 'F', [2016, 2018, 2019]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\time | 2016 | 2017 | 2018\n",
+       "      10 |   84 |   85 |   86\n",
+       "      11 |   92 |   93 |   94\n",
+       "      12 |  100 |  101 |  102\n",
+       "      13 |  108 |  109 |  110\n",
+       "      14 |  116 |  117 |  118\n",
+       "      15 |  124 |  125 |  126\n",
+       "      16 |  132 |  133 |  134\n",
+       "      17 |  140 |  141 |  142\n",
+       "      18 |  148 |  149 |  150\n",
+       "      19 |  156 |  157 |  158"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# the order of indexing does not matter either, so you usually do not care/have to remember about axes positions\n",
+    "# during computation. It only matters for output.\n",
+    "a[:2018, 10:19, 'F']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us now create an array with the same labels on several axes\n",
+    "age2 = age.rename('age2')\n",
+    "a2 = ndrange([age, age2, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100 x 100 x 4\n",
+       " age [100]: 0 1 2 ... 97 98 99\n",
+       " age2 [100]: 0 1 2 ... 97 98 99\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a2.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "slice(10, 13, None) is ambiguous (valid in age, age2)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-52-5a2a3c31a206>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# in this case a subset is ambiguous and this results in an error:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m13\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key, collapse_slices)\u001b[0m\n\u001b[1;32m   2763\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2764\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2765\u001b[0;31m         \u001b[0mtranslated_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranslated_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2767\u001b[0m         \u001b[0;31m# FIXME: I have a huge problem with boolean labels + non points\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslated_key\u001b[0;34m(self, key, bool_stuff)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2566\u001b[0m                                                   bool_passthrough)\n\u001b[1;32m   2567\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2568\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_translate_axis_key_chunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbool_passthrough\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2570\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_guess_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key_chunk\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2530\u001b[0m             \u001b[0mvalid_axes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m', '\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2531\u001b[0m             raise ValueError('%s is ambiguous (valid in %s)' %\n\u001b[0;32m-> 2532\u001b[0;31m                              (axis_key, valid_axes))\n\u001b[0m\u001b[1;32m   2533\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis_pos_key\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2534\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: slice(10, 13, None) is ambiguous (valid in age, age2)"
+     ]
+    }
+   ],
+   "source": [
+    "# in this case a subset is ambiguous and this results in an error:\n",
+    "a2[10:13]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# In that case, one must specify explicitly which axis he wants to subset...\n",
+    "a3 = a2[x.age[10:13], :2018]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4 x 100 x 3\n",
+       " age [4]: 10 11 12 13\n",
+       " age2 [100]: 0 1 2 ... 97 98 99\n",
+       " time [3]: 2016 2017 2018"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a3.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Assigning subsets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us work with a smaller array\n",
+    "b = a[10:12].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   82 |   83\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   90 |   91\n",
+       " 11 |        F |   92 |   93 |   94 |   95\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# one can set the value of a subset of an array using a similar syntax than for getting a subset\n",
+    "b[:11, 'M', 2018:] = -1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   -1 |   -1\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   -1 |   -1\n",
+       " 11 |        F |   92 |   93 |   94 |   95\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "This also works if the new value is an array itself. In that case, that array can have less axes than the target but those which are present must be compatible with the subset being targetted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "new_value = create_sequential(sex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex | M | F\n",
+       "    | 0 | 1"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# this assigns 0 to men and 1 to women for all persons aged 11 or less and for years after 2018\n",
+    "b[:11, 2018:] = new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |    0 |    0\n",
+       " 10 |        F |   84 |   85 |    1 |    1\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    1 |    1\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### the value being assigned must have compatible axes with the target slice"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us suppose we want to assign a new value wich depends only on time\n",
+    "new_value = create_sequential(time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |    0 |    1 |    2 |    3"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not broadcast input array from shape (1,1,4) into shape (2,2,2)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-65-faa252fbe2b0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2018\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__setitem__\u001b[0;34m(self, key, value, collapse_slices)\u001b[0m\n\u001b[1;32m   2857\u001b[0m         \u001b[0;31m# if value is a \"raw\" ndarray we rely on numpy broadcasting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2858\u001b[0m         \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcross_key\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbroadcast_with\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2859\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLArray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2860\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2861\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_bool_key_new_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwildcard_allowed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: could not broadcast input array from shape (1,1,4) into shape (2,2,2)"
+     ]
+    }
+   ],
+   "source": [
+    "b[:11, 2018:] = new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2 x 2 x 2\n",
+       " age [2]: 10 11\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [2]: 2018 2019"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# the problem is that the target subset has a time axis of length 2\n",
+    "b[:11, 2018:].info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ... while new_value has a time axis of length 4\n",
+    "new_value.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2018 | 2019\n",
+       "     |    2 |    3"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we must make sure the value being assigned has the correct time axis:\n",
+    "new_value[2018:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# ... so this works:\n",
+    "b[:11, 2018:] = new_value[2018:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |    2 |    3\n",
+       " 10 |        F |   84 |   85 |    2 |    3\n",
+       " 11 |        M |   88 |   89 |    2 |    3\n",
+       " 11 |        F |   92 |   93 |    2 |    3\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### one very important gotcha though..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "**<span style=\"color:red\">WARNING</span>**: modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. This has two important consequences: \n",
+    "* taking a slice subset of an array is extremely fast (no data is copied)\n",
+    "* if one modifies that subset in-place, one also **modifies the original array**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us create a small test array\n",
+    "a = ndrange([sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "b = a[2018:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2018 | 2019\n",
+       "       M |    2 |    3\n",
+       "       F |    6 |    7"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# modify b in place...\n",
+    "b['M'] = 42"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2018 | 2019\n",
+       "       M |   42 |   42\n",
+       "       F |    6 |    7"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |   42 |   42\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ... but a was also modified !!!!\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### how to avoid the problem? use .copy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "Whenever you modify an array in-place, ask yourself: is this a copy or a view? If what you wanted was to modify a copy, verify that you are indeed working on a copy. A copy can be done using **.copy()**\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us create the same small test array\n",
+    "a = ndrange([sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# but this time, we take a copy\n",
+    "b = a[2018:].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2018 | 2019\n",
+       "       M |    2 |    3\n",
+       "       F |    6 |    7"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# modify b in place...\n",
+    "b['M'] = 42"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2018 | 2019\n",
+       "       M |   42 |   42\n",
+       "       F |    6 |    7"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this time a was not modified !\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Using positions (indices) instead of labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### sometimes it is more practical to use positions along the axis, instead of labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "Remember that positions (indices) are always **0-based** in Python. So the first element is at position 0, the second is at position 1, etc.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us recreate our test array\n",
+    "a = ndrange([age, sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018 | 2019\n",
+       " 10 |        M |   81 |   82 |   83\n",
+       " 10 |        F |   85 |   86 |   87\n",
+       " 11 |        M |   89 |   90 |   91\n",
+       " 11 |        F |   93 |   94 |   95\n",
+       " 12 |        M |   97 |   98 |   99\n",
+       " 12 |        F |  101 |  102 |  103\n",
+       " 13 |        M |  105 |  106 |  107\n",
+       " 13 |        F |  109 |  110 |  111"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one might want to use positional subsets, for example, to skip the first year whatever it is (2016 in this case). \n",
+    "a[10:13, x.time.i[1:]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018\n",
+       " 10 |        M |   80 |   81 |   82\n",
+       " 10 |        F |   84 |   85 |   86\n",
+       " 11 |        M |   88 |   89 |   90\n",
+       " 11 |        F |   92 |   93 |   94\n",
+       " 12 |        M |   96 |   97 |   98\n",
+       " 12 |        F |  100 |  101 |  102\n",
+       " 13 |        M |  104 |  105 |  106\n",
+       " 13 |        F |  108 |  109 |  110"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# omit last year whatever it is (2019) (negative position start at the end: -1 is the last, -2 the one before, etc.)\n",
+    "a[10:13, x.time.i[:-1]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   82 |   83\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   90 |   91\n",
+       " 11 |        F |   92 |   93 |   94 |   95\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# also note that the end *indice* (position) is EXCLUSIVE (while the end label is inclusive)\n",
+    "a[x.age.i[10:13]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   82 |   83\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   90 |   91\n",
+       " 11 |        F |   92 |   93 |   94 |   95\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103\n",
+       " 13 |        M |  104 |  105 |  106 |  107\n",
+       " 13 |        F |  108 |  109 |  110 |  111"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# compare this with\n",
+    "a[x.age[10:13]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018\n",
+       " 10 |        M |   81 |   82\n",
+       " 10 |        F |   85 |   86\n",
+       " 11 |        M |   89 |   90\n",
+       " 11 |        F |   93 |   94\n",
+       " 12 |        M |   97 |   98\n",
+       " 12 |        F |  101 |  102"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can also rely on indices/positions for both axes labels and the axes themselves. In this context, using \"full\" slices\n",
+    "# (without start nor end bound) must be used to avoid subsetting a dimension ...\n",
+    "a.i[10:13, :, 1:3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   82 |   83\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   90 |   91\n",
+       " 11 |        F |   92 |   93 |   94 |   95\n",
+       " 12 |        M |   96 |   97 |   98 |   99\n",
+       " 12 |        F |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ... though this is only necessary if you want to one take a subset on a dimension without also\n",
+    "# taking a subset of all dimensions before it. So, for example if one wants to subset the first dimension, this works:\n",
+    "a.i[10:13]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# ... but for the third one you have to write:\n",
+    "a4 = a.i[:, :, 2:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100 x 2 x 2\n",
+       " age [100]: 0 1 2 ... 97 98 99\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [2]: 2018 2019"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a4.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Reordering axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\age | 0 |  1 |  2 |  3 |  4 | ... |  95 |  96 |  97 |  98 |  99\n",
+       "2016 |       M | 0 |  8 | 16 | 24 | 32 | ... | 760 | 768 | 776 | 784 | 792\n",
+       "2016 |       F | 4 | 12 | 20 | 28 | 36 | ... | 764 | 772 | 780 | 788 | 796\n",
+       "2017 |       M | 1 |  9 | 17 | 25 | 33 | ... | 761 | 769 | 777 | 785 | 793\n",
+       "2017 |       F | 5 | 13 | 21 | 29 | 37 | ... | 765 | 773 | 781 | 789 | 797\n",
+       "2018 |       M | 2 | 10 | 18 | 26 | 34 | ... | 762 | 770 | 778 | 786 | 794\n",
+       "2018 |       F | 6 | 14 | 22 | 30 | 38 | ... | 766 | 774 | 782 | 790 | 798\n",
+       "2019 |       M | 3 | 11 | 19 | 27 | 35 | ... | 763 | 771 | 779 | 787 | 795\n",
+       "2019 |       F | 7 | 15 | 23 | 31 | 39 | ... | 767 | 775 | 783 | 791 | 799"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# the last axis is always in columns\n",
+    "a.transpose(x.time, x.sex, x.age)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex | age\\time | 2016 | 2017 | 2018 | 2019\n",
+       "  M |       10 |   80 |   81 |   82 |   83\n",
+       "  M |       11 |   88 |   89 |   90 |   91\n",
+       "  M |       12 |   96 |   97 |   98 |   99\n",
+       "  F |       10 |   84 |   85 |   86 |   87\n",
+       "  F |       11 |   92 |   93 |   94 |   95\n",
+       "  F |       12 |  100 |  101 |  102 |  103"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# axes not mentioned come after those which are mentioned (and keep their relative order)\n",
+    "a[10:12].transpose(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# one can define and reuse groups of labels (or indices)\n",
+    "teens = x.age[10:19]\n",
+    "twenties = x.age[20:29]\n",
+    "strange = x.age[[30, 55, 52, 25, 99]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  240 |  241 |  242 |  243\n",
+       " 30 |        F |  244 |  245 |  246 |  247\n",
+       " 55 |        M |  440 |  441 |  442 |  443\n",
+       " 55 |        F |  444 |  445 |  446 |  447\n",
+       " 52 |        M |  416 |  417 |  418 |  419\n",
+       " 52 |        F |  420 |  421 |  422 |  423\n",
+       " 25 |        M |  200 |  201 |  202 |  203\n",
+       " 25 |        F |  204 |  205 |  206 |  207\n",
+       " 99 |        M |  792 |  793 |  794 |  795\n",
+       " 99 |        F |  796 |  797 |  798 |  799"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a[strange]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Aggregates"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## full axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time |  2016 |  2017 |  2018 |  2019\n",
+       "       M | 39600 | 39700 | 39800 | 39900\n",
+       "       F | 40000 | 40100 | 40200 | 40300"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## by group"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M | 1160 | 1170 | 1180 | 1190\n",
+       "       F | 1200 | 1210 | 1220 | 1230"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.sum(teens)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "        age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "      10:19 |        M | 1160 | 1170 | 1180 | 1190\n",
+       "      10:19 |        F | 1200 | 1210 | 1220 | 1230\n",
+       "      20:29 |        M | 1960 | 1970 | 1980 | 1990\n",
+       "      20:29 |        F | 2000 | 2010 | 2020 | 2030\n",
+       "[30 ... 99] |        M | 2088 | 2093 | 2098 | 2103\n",
+       "[30 ... 99] |        F | 2108 | 2113 | 2118 | 2123"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# several groups\n",
+    "a.sum((teens, twenties, strange))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "    age\\sex |    M |    F\n",
+       "      10:19 | 4700 | 4860\n",
+       "      20:29 | 7900 | 8060\n",
+       "[30 ... 99] | 8382 | 8462"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# combined with other axes\n",
+    "a.sum((teens, twenties, strange), x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# there are many other aggregate functions built-in: \n",
+    "# mean, min, max, median, percentile, var (variance), std (standard deviation)\n",
+    "# argmin, argmax (label indirect minimum/maxium -- labels where the value is minimum/maximum)\n",
+    "# posargmin, posargmax (positional indirect minimum/maxium -- position along axis where the value is minimum/maximum)\n",
+    "# cumsum, cumprod (cumulative sum, cumulative product)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Using named groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "teens = x.age[10:19].named('teens')\n",
+    "twenties = x.age[20:29].named('twenties')\n",
+    "strange = x.age[[30, 55, 52, 25, 99]].named('strange')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                    age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "        'teens' (10:19) |        M | 1160 | 1170 | 1180 | 1190\n",
+       "        'teens' (10:19) |        F | 1200 | 1210 | 1220 | 1230\n",
+       "     'twenties' (20:29) |        M | 1960 | 1970 | 1980 | 1990\n",
+       "     'twenties' (20:29) |        F | 2000 | 2010 | 2020 | 2030\n",
+       "'strange' ([30 ... 99]) |        M | 2088 | 2093 | 2098 | 2103\n",
+       "'strange' ([30 ... 99]) |        F | 2108 | 2113 | 2118 | 2123"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.sum((teens, twenties, strange))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Arithmetic operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us use a small subset\n",
+    "a = a[strange]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  240 |  241 |  242 |  243\n",
+       " 30 |        F |  244 |  245 |  246 |  247\n",
+       " 55 |        M |  440 |  441 |  442 |  443\n",
+       " 55 |        F |  444 |  445 |  446 |  447\n",
+       " 52 |        M |  416 |  417 |  418 |  419\n",
+       " 52 |        F |  420 |  421 |  422 |  423\n",
+       " 25 |        M |  200 |  201 |  202 |  203\n",
+       " 25 |        F |  204 |  205 |  206 |  207\n",
+       " 99 |        M |  792 |  793 |  794 |  795\n",
+       " 99 |        F |  796 |  797 |  798 |  799"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  241 |  242 |  243 |  244\n",
+       " 30 |        F |  245 |  246 |  247 |  248\n",
+       " 55 |        M |  441 |  442 |  443 |  444\n",
+       " 55 |        F |  445 |  446 |  447 |  448\n",
+       " 52 |        M |  417 |  418 |  419 |  420\n",
+       " 52 |        F |  421 |  422 |  423 |  424\n",
+       " 25 |        M |  201 |  202 |  203 |  204\n",
+       " 25 |        F |  205 |  206 |  207 |  208\n",
+       " 99 |        M |  793 |  794 |  795 |  796\n",
+       " 99 |        F |  797 |  798 |  799 |  800"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can do all usual arithmetic operations on an array, it will apply the operation to all elements individually\n",
+    "a + 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  480 |  482 |  484 |  486\n",
+       " 30 |        F |  488 |  490 |  492 |  494\n",
+       " 55 |        M |  880 |  882 |  884 |  886\n",
+       " 55 |        F |  888 |  890 |  892 |  894\n",
+       " 52 |        M |  832 |  834 |  836 |  838\n",
+       " 52 |        F |  840 |  842 |  844 |  846\n",
+       " 25 |        M |  400 |  402 |  404 |  406\n",
+       " 25 |        F |  408 |  410 |  412 |  414\n",
+       " 99 |        M | 1584 | 1586 | 1588 | 1590\n",
+       " 99 |        F | 1592 | 1594 | 1596 | 1598"
+      ]
+     },
+     "execution_count": 108,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a * 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\time | 2016 | 2017 | 2018 | 2019\n",
+       "      30 |  484 |  486 |  488 |  490\n",
+       "      55 |  884 |  886 |  888 |  890\n",
+       "      52 |  836 |  838 |  840 |  842\n",
+       "      25 |  404 |  406 |  408 |  410\n",
+       "      99 | 1588 | 1590 | 1592 | 1594"
+      ]
+     },
+     "execution_count": 109,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# more interestingly, it also works between two arrays\n",
+    "a['F'] + a['M']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "incompatible axes:\nAxis('age', [30, 55, 52, 25])\nvs\nAxis('age', [55, 52, 25, 99])",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-110-59cfcfcf6bb3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# but it only works when arrays have compatible axes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m55\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mopmethod\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m   3904\u001b[0m                 \u001b[0;31m# TODO: first test if it is not already broadcastable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3905\u001b[0m                 \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_axes\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3906\u001b[0;31m                     \u001b[0mmake_numpy_broadcastable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3907\u001b[0m                 \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3908\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mLArray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msuper_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_axes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mmake_numpy_broadcastable\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   6193\u001b[0m     \u001b[0;34m*\u001b[0m \u001b[0mlength\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0mwildcard\u001b[0m \u001b[0maxes\u001b[0m \u001b[0mwill\u001b[0m \u001b[0mbe\u001b[0m \u001b[0madded\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxes\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpresent\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6194\u001b[0m     \"\"\"\n\u001b[0;32m-> 6195\u001b[0;31m     \u001b[0mall_axes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mget_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6196\u001b[0m     return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v\n\u001b[1;32m   6197\u001b[0m             for v in values], all_axes\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36munion\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1388\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1389\u001b[0m                 \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1390\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalidate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvalidate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreplace_wildcards\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreplace_wildcards\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1391\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1392\u001b[0m     \u001b[0m__or__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mextend\u001b[0;34m(self, axes, validate, replace_wildcards)\u001b[0m\n\u001b[1;32m   1568\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mvalidate\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mold_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miscompatible\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1569\u001b[0m                     raise ValueError(\"incompatible axes:\\n%r\\nvs\\n%r\"\n\u001b[0;32m-> 1570\u001b[0;31m                                      % (axis, old_axis))\n\u001b[0m\u001b[1;32m   1571\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mreplace_wildcards\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mold_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miswildcard\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1572\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mold_axis\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: incompatible axes:\nAxis('age', [30, 55, 52, 25])\nvs\nAxis('age', [55, 52, 25, 99])"
+     ]
+    }
+   ],
+   "source": [
+    "# but it only works when arrays have compatible axes\n",
+    "a[55:] + a[:25]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\time | 2016 | 2017 | 2018 | 2019\n",
+       "      55 |  688 |  690 |  692 |  694\n",
+       "      52 |  864 |  866 |  868 |  870\n",
+       "      25 |  624 |  626 |  628 |  630\n",
+       "      99 | 1000 | 1002 | 1004 | 1006"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# but you can override that (at your own risk). In that case only the position on the axis is used and not the labels.\n",
+    "a[55:, 'F'] + a[:25, 'F'].drop_labels(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### All usual operations are provided using the usual symbols, including +, -, *, /, <, >, <=, >= "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "There are a few worth mentioning explicitly:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M | True | True | True | True\n",
+       " 30 |        F | True | True | True | True\n",
+       " 55 |        M | True | True | True | True\n",
+       " 55 |        F | True | True | True | True\n",
+       " 52 |        M | True | True | True | True\n",
+       " 52 |        F | True | True | True | True\n",
+       " 25 |        M | True | True | True | True\n",
+       " 25 |        F | True | True | True | True\n",
+       " 99 |        M | True | True | True | True\n",
+       " 99 |        F | True | True | True | True"
+      ]
+     },
+     "execution_count": 112,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# testing for equality is done using == (a single = assigns the value)\n",
+    "a == a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
+       " 30 |        M | False | False | False | False\n",
+       " 30 |        F | False | False | False | False\n",
+       " 55 |        M | False | False | False | False\n",
+       " 55 |        F | False | False | False | False\n",
+       " 52 |        M | False | False | False | False\n",
+       " 52 |        F | False | False | False | False\n",
+       " 25 |        M | False | False | False | False\n",
+       " 25 |        F | False | False | False | False\n",
+       " 99 |        M | False | False | False | False\n",
+       " 99 |        F | False | False | False | False"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# testing for inequality\n",
+    "a != a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |   2016 |   2017 |   2018 |   2019\n",
+       " 30 |        M |  57600 |  58081 |  58564 |  59049\n",
+       " 30 |        F |  59536 |  60025 |  60516 |  61009\n",
+       " 55 |        M | 193600 | 194481 | 195364 | 196249\n",
+       " 55 |        F | 197136 | 198025 | 198916 | 199809\n",
+       " 52 |        M | 173056 | 173889 | 174724 | 175561\n",
+       " 52 |        F | 176400 | 177241 | 178084 | 178929\n",
+       " 25 |        M |  40000 |  40401 |  40804 |  41209\n",
+       " 25 |        F |  41616 |  42025 |  42436 |  42849\n",
+       " 99 |        M | 627264 | 628849 | 630436 | 632025\n",
+       " 99 |        F | 633616 | 635209 | 636804 | 638401"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ** means raising to the power (squaring in this case)\n",
+    "a ** 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |    0 |    1 |    2 |    3\n",
+       " 30 |        F |    4 |    5 |    6 |    7\n",
+       " 55 |        M |    0 |    1 |    2 |    3\n",
+       " 55 |        F |    4 |    5 |    6 |    7\n",
+       " 52 |        M |    6 |    7 |    8 |    9\n",
+       " 52 |        F |    0 |    1 |    2 |    3\n",
+       " 25 |        M |    0 |    1 |    2 |    3\n",
+       " 25 |        F |    4 |    5 |    6 |    7\n",
+       " 99 |        M |    2 |    3 |    4 |    5\n",
+       " 99 |        F |    6 |    7 |    8 |    9"
+      ]
+     },
+     "execution_count": 115,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# % means modulo (aka remainder of division)\n",
+    "a % 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  240 |  241 |  242 |  243\n",
+       " 30 |        F |  244 |  245 |  246 |  247\n",
+       " 55 |        M |  440 |  441 |  442 |  443\n",
+       " 55 |        F |  444 |  445 |  446 |  447\n",
+       " 52 |        M |  416 |  417 |  418 |  419\n",
+       " 52 |        F |  420 |  421 |  422 |  423\n",
+       " 25 |        M |  200 |  201 |  202 |  203\n",
+       " 25 |        F |  204 |  205 |  206 |  207\n",
+       " 99 |        M |  792 |  793 |  794 |  795\n",
+       " 99 |        F |  796 |  797 |  798 |  799"
+      ]
+     },
+     "execution_count": 116,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# what was our test data like again?\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
+       " 30 |        M | False | False | False | False\n",
+       " 30 |        F | False | False | False | False\n",
+       " 55 |        M |  True |  True |  True |  True\n",
+       " 55 |        F |  True | False | False | False\n",
+       " 52 |        M |  True |  True |  True |  True\n",
+       " 52 |        F |  True |  True |  True |  True\n",
+       " 25 |        M | False | False | False | False\n",
+       " 25 |        F | False | False | False | False\n",
+       " 99 |        M | False | False | False | False\n",
+       " 99 |        F | False | False | False | False"
+      ]
+     },
+     "execution_count": 117,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# & means (boolean array) and\n",
+    "(a >= 400) & (a < 445)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
+       " 30 |        M |  True |  True |  True |  True\n",
+       " 30 |        F |  True | False | False | False\n",
+       " 55 |        M | False | False | False | False\n",
+       " 55 |        F | False | False | False | False\n",
+       " 52 |        M | False | False | False | False\n",
+       " 52 |        F | False | False | False | False\n",
+       " 25 |        M |  True |  True |  True |  True\n",
+       " 25 |        F |  True |  True |  True |  True\n",
+       " 99 |        M | False | False | False |  True\n",
+       " 99 |        F |  True |  True |  True |  True"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# | means (boolean array) or\n",
+    "(a < 245) | (a >= 795)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Arithmetic operations with missing axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M | 2088 | 2093 | 2098 | 2103\n",
+       "       F | 2108 | 2113 | 2118 | 2123"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5 x 2 x 4\n",
+       " age [5]: 30 55 52 25 99\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 120,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# a has 3 dimensions\n",
+    "a.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2 x 4\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 121,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# and a.sum(x.age) has 2\n",
+    "a.sum(x.age).info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |                2016 | ... |                2019\n",
+       " 30 |        M | 0.11494252873563218 | ... | 0.11554921540656206\n",
+       " 30 |        F |  0.1157495256166983 | ... | 0.11634479510127178\n",
+       " 55 |        M |   0.210727969348659 | ... | 0.21065145030908225\n",
+       " 55 |        F | 0.21062618595825428 | ... | 0.21055110692416393\n",
+       " 52 |        M | 0.19923371647509577 | ... | 0.19923918212077985\n",
+       " 52 |        F | 0.19924098671726756 | ... | 0.19924634950541686\n",
+       " 25 |        M | 0.09578544061302682 | ... | 0.09652876842605801\n",
+       " 25 |        F |  0.0967741935483871 | ... | 0.09750353273669336\n",
+       " 99 |        M |  0.3793103448275862 | ... |  0.3780313837375178\n",
+       " 99 |        F |  0.3776091081593928 | ... |  0.3763542157324541"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# you can do operation with missing axes so this works\n",
+    "a / a.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |                2016 | ... |                2019\n",
+       " 30 |        M | 0.11494252873563218 | ... | 0.11554921540656206\n",
+       " 30 |        F |  0.1157495256166983 | ... | 0.11634479510127178\n",
+       " 55 |        M |   0.210727969348659 | ... | 0.21065145030908225\n",
+       " 55 |        F | 0.21062618595825428 | ... | 0.21055110692416393\n",
+       " 52 |        M | 0.19923371647509577 | ... | 0.19923918212077985\n",
+       " 52 |        F | 0.19924098671726756 | ... | 0.19924634950541686\n",
+       " 25 |        M | 0.09578544061302682 | ... | 0.09652876842605801\n",
+       " 25 |        F |  0.0967741935483871 | ... | 0.09750353273669336\n",
+       " 99 |        M |  0.3793103448275862 | ... |  0.3780313837375178\n",
+       " 99 |        F |  0.3776091081593928 | ... |  0.3763542157324541"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this particular operatior (dividing the array by its sum along an axis) is built-in though:\n",
+    "a.ratio(x.age)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |               2016 | ... |               2019\n",
+       " 30 |        M | 11.494252873563218 | ... | 11.554921540656206\n",
+       " 30 |        F | 11.574952561669829 | ... | 11.634479510127179\n",
+       " 55 |        M |   21.0727969348659 | ... | 21.065145030908226\n",
+       " 55 |        F | 21.062618595825427 | ... |  21.05511069241639\n",
+       " 52 |        M |  19.92337164750958 | ... | 19.923918212077982\n",
+       " 52 |        F | 19.924098671726757 | ... | 19.924634950541687\n",
+       " 25 |        M |  9.578544061302683 | ... |  9.652876842605801\n",
+       " 25 |        F |   9.67741935483871 | ... |  9.750353273669337\n",
+       " 99 |        M |  37.93103448275862 | ... | 37.803138373751786\n",
+       " 99 |        F | 37.760910815939276 | ... |  37.63542157324541"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# or, if you want * 100\n",
+    "a.percent(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## axis order does not matter much (except for output)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 30 |        M |  240 |  241 |  242 |  243\n",
+       " 30 |        F |  244 |  245 |  246 |  247\n",
+       " 55 |        M |  440 |  441 |  442 |  443\n",
+       " 55 |        F |  444 |  445 |  446 |  447\n",
+       " 52 |        M |  416 |  417 |  418 |  419\n",
+       " 52 |        F |  420 |  421 |  422 |  423\n",
+       " 25 |        M |  200 |  201 |  202 |  203\n",
+       " 25 |        F |  204 |  205 |  206 |  207\n",
+       " 99 |        M |  792 |  793 |  794 |  795\n",
+       " 99 |        F |  796 |  797 |  798 |  799"
+      ]
+     },
+     "execution_count": 125,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us change the order of axes\n",
+    "a_transposed = a.transpose()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\age |  30 |  55 |  52 |  25 |  99\n",
+       "2016 |       M | 240 | 440 | 416 | 200 | 792\n",
+       "2016 |       F | 244 | 444 | 420 | 204 | 796\n",
+       "2017 |       M | 241 | 441 | 417 | 201 | 793\n",
+       "2017 |       F | 245 | 445 | 421 | 205 | 797\n",
+       "2018 |       M | 242 | 442 | 418 | 202 | 794\n",
+       "2018 |       F | 246 | 446 | 422 | 206 | 798\n",
+       "2019 |       M | 243 | 443 | 419 | 203 | 795\n",
+       "2019 |       F | 247 | 447 | 423 | 207 | 799"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a_transposed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\age |  30 |  55 |  52 |  25 |   99\n",
+       "2016 |       M | 480 | 880 | 832 | 400 | 1584\n",
+       "2016 |       F | 488 | 888 | 840 | 408 | 1592\n",
+       "2017 |       M | 482 | 882 | 834 | 402 | 1586\n",
+       "2017 |       F | 490 | 890 | 842 | 410 | 1594\n",
+       "2018 |       M | 484 | 884 | 836 | 404 | 1588\n",
+       "2018 |       F | 492 | 892 | 844 | 412 | 1596\n",
+       "2019 |       M | 486 | 886 | 838 | 406 | 1590\n",
+       "2019 |       F | 494 | 894 | 846 | 414 | 1598"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# you can do operations between arrays having different axes order. The axis order of the result\n",
+    "# is the same as the left array\n",
+    "a_transposed + a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Boolean filtering"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us recreate our original test array\n",
+    "a = ndrange([age, sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100 x 2 x 4\n",
+       " age [100]: 0 1 2 ... 97 98 99\n",
+       " sex [2]: 'M' 'F'\n",
+       " time [4]: 2016 2017 2018 2019"
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])"
+      ]
+     },
+     "execution_count": 131,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age |     0 |     1 |     2 |     3 | ... |   95 |   96 |   97 |   98 |   99\n",
+       "    | False | False | False | False | ... | True | True | True | True | True"
+      ]
+     },
+     "execution_count": 132,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age > 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |   81 |   82 |   83\n",
+       " 10 |        F |   84 |   85 |   86 |   87\n",
+       " 11 |        M |   88 |   89 |   90 |   91\n",
+       " 11 |        F |   92 |   93 |   94 |   95"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this more cumbersome than a[10:11] or even a[x.age[10:11]] but more powerful\n",
+    "a[(age >= 10) & (age < 12)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# because in this case the bounds can themselves be arrays\n",
+    "age_limit = create_sequential(time, initial=10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |   10 |   11 |   12 |   13"
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age_limit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\time |  2016 |  2017 |  2018 |  2019\n",
+       "       5 | False | False | False | False\n",
+       "       6 | False | False | False | False\n",
+       "       7 | False | False | False | False\n",
+       "       8 | False | False | False | False\n",
+       "       9 | False | False | False | False\n",
+       "      10 |  True | False | False | False\n",
+       "      11 |  True |  True | False | False\n",
+       "      12 |  True |  True |  True | False\n",
+       "      13 |  True |  True |  True |  True\n",
+       "      14 |  True |  True |  True |  True\n",
+       "      15 |  True |  True |  True |  True\n",
+       "      16 |  True |  True |  True |  True\n",
+       "      17 |  True |  True |  True |  True\n",
+       "      18 |  True |  True |  True |  True\n",
+       "      19 |  True |  True |  True |  True\n",
+       "      20 |  True |  True |  True |  True"
+      ]
+     },
+     "execution_count": 136,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(age >= age_limit)[5:20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# select all cells which satisfy the filter, but note that it collapse all the concercne axes (age and time)\n",
+    "r = a[age >= age_limit]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "354 x 2\n",
+       " age,time [354]: '10,2016' '11,2016' '11,2017' ... '99,2017' '99,2018' '99,2019'\n",
+       " sex [2]: 'M' 'F'"
+      ]
+     },
+     "execution_count": 138,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "r.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "slice(10, None, None) is not a valid label for any axis",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-139-f3e304899c59>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# does not work!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key, collapse_slices)\u001b[0m\n\u001b[1;32m   2763\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2764\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2765\u001b[0;31m         \u001b[0mtranslated_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranslated_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2767\u001b[0m         \u001b[0;31m# FIXME: I have a huge problem with boolean labels + non points\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslated_key\u001b[0;34m(self, key, bool_stuff)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2566\u001b[0m                                                   bool_passthrough)\n\u001b[1;32m   2567\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2568\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_translate_axis_key_chunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbool_passthrough\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2570\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_guess_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key_chunk\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2525\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2526\u001b[0m             raise ValueError(\"%s is not a valid label for any axis\"\n\u001b[0;32m-> 2527\u001b[0;31m                              % axis_key)\n\u001b[0m\u001b[1;32m   2528\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalid_axes\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2529\u001b[0m             \u001b[0;31m# FIXME: .id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: slice(10, None, None) is not a valid label for any axis"
+     ]
+    }
+   ],
+   "source": [
+    "# does not work!\n",
+    "r[10:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age,time\\sex |   M |   F\n",
+       "     10,2016 |  80 |  84\n",
+       "     11,2016 |  88 |  92\n",
+       "     11,2017 |  89 |  93\n",
+       "     12,2016 |  96 | 100\n",
+       "     12,2017 |  97 | 101\n",
+       "     12,2018 |  98 | 102\n",
+       "     13,2016 | 104 | 108\n",
+       "     13,2017 | 105 | 109\n",
+       "     13,2018 | 106 | 110\n",
+       "     13,2019 | 107 | 111"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "r.i[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# for that reason, sometimes it is more useful to not select, but rather set to 0 (or another value) non matching elements\n",
+    "a[age < age_limit] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 13 |        M |  104 |  105 |  106 |  107\n",
+       " 13 |        F |  108 |  109 |  110 |  111\n",
+       " 14 |        M |  112 |  113 |  114 |  115\n",
+       " 14 |        F |  116 |  117 |  118 |  119\n",
+       " 15 |        M |  120 |  121 |  122 |  123\n",
+       " 15 |        F |  124 |  125 |  126 |  127"
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a[10:15]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# or to multiply by that criterion (which also sets to 0)\n",
+    "b = a * (age >= age_limit)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 13 |        M |  104 |  105 |  106 |  107\n",
+       " 13 |        F |  108 |  109 |  110 |  111\n",
+       " 14 |        M |  112 |  113 |  114 |  115\n",
+       " 14 |        F |  116 |  117 |  118 |  119\n",
+       " 15 |        M |  120 |  121 |  122 |  123\n",
+       " 15 |        F |  124 |  125 |  126 |  127"
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b[10:15]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "# Relabeling"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "b = a[10:12]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 146,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "c = b.set_labels(x.sex, ['Women', 'Men'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |    Women |   80 |    0 |    0 |    0\n",
+       " 10 |      Men |   84 |    0 |    0 |    0\n",
+       " 11 |    Women |   88 |   89 |    0 |    0\n",
+       " 11 |      Men |   92 |   93 |    0 |    0\n",
+       " 12 |    Women |   96 |   97 |   98 |    0\n",
+       " 12 |      Men |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Renaming axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | gender\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |       Women |   80 |    0 |    0 |    0\n",
+       " 10 |         Men |   84 |    0 |    0 |    0\n",
+       " 11 |       Women |   88 |   89 |    0 |    0\n",
+       " 11 |         Men |   92 |   93 |    0 |    0\n",
+       " 12 |       Women |   96 |   97 |   98 |    0\n",
+       " 12 |         Men |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c.rename(x.sex, x.gender)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | gender\\year | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |       Women |   80 |    0 |    0 |    0\n",
+       " 10 |         Men |   84 |    0 |    0 |    0\n",
+       " 11 |       Women |   88 |   89 |    0 |    0\n",
+       " 11 |         Men |   92 |   93 |    0 |    0\n",
+       " 12 |       Women |   96 |   97 |   98 |    0\n",
+       " 12 |         Men |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 150,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# renaming several axes at once is more convenient using:\n",
+    "c.rename(sex='gender', time='year')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Combining arrays"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### appending/prepending one element to an axis of an array (.append/.prepend)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# suppose in this case, that we want to append total by sex. \n",
+    "# In practice, this is a bad example because adding totals is such a common operation that there is a dedicated method\n",
+    "# for this. See the \"adding totals\" section.\n",
+    "bysex = b.sum(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 10 |    total |  164 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 11 |    total |  180 |  182 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 12 |    total |  196 |  198 |  200 |    0"
+      ]
+     },
+     "execution_count": 153,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b.append(x.sex, bysex, 'total')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |  2016 |  2017 |  2018 | 2019\n",
+       " 10 |     mean |  82.0 |   0.0 |   0.0 |  0.0\n",
+       " 10 |        M |  80.0 |   0.0 |   0.0 |  0.0\n",
+       " 10 |        F |  84.0 |   0.0 |   0.0 |  0.0\n",
+       " 11 |     mean |  90.0 |  91.0 |   0.0 |  0.0\n",
+       " 11 |        M |  88.0 |  89.0 |   0.0 |  0.0\n",
+       " 11 |        F |  92.0 |  93.0 |   0.0 |  0.0\n",
+       " 12 |     mean |  98.0 |  99.0 | 100.0 |  0.0\n",
+       " 12 |        M |  96.0 |  97.0 |  98.0 |  0.0\n",
+       " 12 |        F | 100.0 | 101.0 | 102.0 |  0.0"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# you can also add something at the start of an axis\n",
+    "b.prepend(x.sex, b.mean(x.sex), 'mean')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# the value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible\n",
+    "new_value = create_sequential(time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |    0 |    1 |    2 |    3"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |    other |    0 |    1 |    2 |    3\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |    other |    0 |    1 |    2 |    3\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |    other |    0 |    1 |    2 |    3\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 157,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b.prepend(x.sex, new_value, 'other')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### extending an array along an axis with another array _with_ that axis (but other labels) (.extend)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "new_value = zeros(Axis('age', range(20, 22)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age |  20 |  21\n",
+       "    | 0.0 | 0.0"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 20 |        M |    0 |    0 |    0 |    0\n",
+       " 20 |        F |    0 |    0 |    0 |    0\n",
+       " 21 |        M |    0 |    0 |    0 |    0\n",
+       " 21 |        F |    0 |    0 |    0 |    0"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b.extend(x.age, new_value)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### stacking several arrays together to create an entirely new dimension (stack)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "m = create_sequential(time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |    0 |    1 |    2 |    3"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "m"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "f = create_sequential(time, initial=5, inc=-1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |    5 |    4 |    3 |    2"
+      ]
+     },
+     "execution_count": 164,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "f"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Axis('sex', ['M', 'F'])"
+      ]
+     },
+     "execution_count": 165,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\sex | M | F\n",
+       "    2016 | 0 | 5\n",
+       "    2017 | 1 | 4\n",
+       "    2018 | 2 | 3\n",
+       "    2019 | 3 | 2"
+      ]
+     },
+     "execution_count": 166,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "stack([m, f], sex)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Adding totals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 10 |    total |  164 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 11 |    total |  180 |  182 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 12 |    total |  196 |  198 |  200 |    0"
+      ]
+     },
+     "execution_count": 167,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b.with_total(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "  age | sex\\time | 2016 | 2017 | 2018 | 2019 | total\n",
+       "   10 |        M |   80 |    0 |    0 |    0 |    80\n",
+       "   10 |        F |   84 |    0 |    0 |    0 |    84\n",
+       "   10 |    total |  164 |    0 |    0 |    0 |   164\n",
+       "   11 |        M |   88 |   89 |    0 |    0 |   177\n",
+       "   11 |        F |   92 |   93 |    0 |    0 |   185\n",
+       "   11 |    total |  180 |  182 |    0 |    0 |   362\n",
+       "   12 |        M |   96 |   97 |   98 |    0 |   291\n",
+       "   12 |        F |  100 |  101 |  102 |    0 |   303\n",
+       "   12 |    total |  196 |  198 |  200 |    0 |   594\n",
+       "total |        M |  264 |  186 |   98 |    0 |   548\n",
+       "total |        F |  276 |  194 |  102 |    0 |   572\n",
+       "total |    total |  540 |  380 |  200 |    0 |  1120"
+      ]
+     },
+     "execution_count": 168,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can also add totals to all axes at once\n",
+    "b.with_total()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "# Sorting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# sorts an axis (alphabetically if labels are strings)\n",
+    "sorted_b = b.sort_axis(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0"
+      ]
+     },
+     "execution_count": 171,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted_b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time |    0 |    1 |    2 |    3\n",
+       " 10 |        F | 2017 | 2018 | 2019 | 2016\n",
+       " 10 |        M | 2017 | 2018 | 2019 | 2016\n",
+       " 11 |        F | 2018 | 2019 | 2016 | 2017\n",
+       " 11 |        M | 2018 | 2019 | 2016 | 2017\n",
+       " 12 |        F | 2019 | 2016 | 2017 | 2018\n",
+       " 12 |        M | 2019 | 2016 | 2017 | 2018"
+      ]
+     },
+     "execution_count": 172,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# indirect sort along an axis (ie give labels which would sort the axis)\n",
+    "sorted_b.argsort(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2017 | 2018 | 2019 | 2016\n",
+       " 10 |        F |    0 |    0 |    0 |   84\n",
+       " 10 |        M |    0 |    0 |    0 |   80\n",
+       " 11 |        F |   93 |    0 |    0 |   92\n",
+       " 11 |        M |   89 |    0 |    0 |   88\n",
+       " 12 |        F |  101 |  102 |    0 |  100\n",
+       " 12 |        M |   97 |   98 |    0 |   96"
+      ]
+     },
+     "execution_count": 173,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted_b.sort_values((10, 'M'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plotting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "c = a.sum(x.age) - 39000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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BSWsjYnHaJXgT8CzJ79TP0yGb+/6i+ImkCSS/e99IB0RbJukwkhPH88DfDnfn\nPHia5YaSsdB/GRGtSmZJWhER89I+/H8TEV9N672YPt9euk7SPwP/MyJ+mtabFxEHnODdbLRxl47l\nRjoW+pOSfgXcwIFvcztQ+fnAl9Mvwqwn+TPbrG74Ct/MLCd8hW9mlhMOfDOznHDgm5nlhAPfzCwn\nHPhmZjnhwDczywkHvplZTjjwzcxy4v8DjLh0GaeS1woAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x288668fe2b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "d = c.transpose(x.time).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Misc other interesting methods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   80 |    0 |    0 |    0\n",
+       " 10 |        F |   84 |    0 |    0 |    0\n",
+       " 11 |        M |   88 |   89 |    0 |    0\n",
+       " 11 |        F |   92 |   93 |    0 |    0\n",
+       " 12 |        M |   96 |   97 |   98 |    0\n",
+       " 12 |        F |  100 |  101 |  102 |    0"
+      ]
+     },
+     "execution_count": 176,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# let us take some small test data\n",
+    "b = a[10:12]\n",
+    "b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## where"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "where can be used to apply some compution depending on a condition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "c = where(b < 85, -1, b * 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       " 10 |        M |   -1 |   -1 |   -1 |   -1\n",
+       " 10 |        F |   -1 |   -1 |   -1 |   -1\n",
+       " 11 |        M |  176 |  178 |   -1 |   -1\n",
+       " 11 |        F |  184 |  186 |   -1 |   -1\n",
+       " 12 |        M |  192 |  194 |  196 |   -1\n",
+       " 12 |        F |  200 |  202 |  204 |   -1"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## clip"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "a = ndrange((sex, time))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    2 |    2 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    6"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# values below 2 are set to 2, above 6 set to 6\n",
+    "a.clip(2, 6)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## divnot0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 182,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "b = ones(time)\n",
+    "b[2016] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2016 | 2017 | 2018 | 2019\n",
+       "     |  0.0 |  1.0 |  1.0 |  1.0"
+      ]
+     },
+     "execution_count": 184,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  nan |  1.0 |  2.0 |  3.0\n",
+       "       F |  inf |  5.0 |  6.0 |  7.0"
+      ]
+     },
+     "execution_count": 185,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# dividing by zero normally produces \"inf\" (for infinite) if the numerator is not zero or \"nan\" (for not a number) if it is\n",
+    "a / b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  0.0 |  1.0 |  2.0 |  3.0\n",
+       "       F |  0.0 |  5.0 |  6.0 |  7.0"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# but in some cases, you do not want that. You can use the divnot0 method instead. Using it should be done with care though\n",
+    "# because it can hide a real error in your data.\n",
+    "a.divnot0(b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## diff (discrete difference along an axis)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "... or how to compute the value increase since the previous year for each year"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# let us first recreate some data\n",
+    "bysex = create_sequential(sex, initial=1.5, inc=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex |   M |   F\n",
+       "    | 1.5 | 2.0"
+      ]
+     },
+     "execution_count": 188,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bysex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "a = create_sequential(time, initial=1.0, inc=bysex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  1.0 |  2.5 |  4.0 |  5.5\n",
+       "       F |  1.0 |  3.0 |  5.0 |  7.0"
+      ]
+     },
+     "execution_count": 190,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2017 | 2018 | 2019\n",
+       "       M |  1.5 |  1.5 |  1.5\n",
+       "       F |  2.0 |  2.0 |  2.0"
+      ]
+     },
+     "execution_count": 191,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.diff(x.time)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## growth_rate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "using the same principle than diff..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex |   M |   F\n",
+       "    | 1.5 | 2.0"
+      ]
+     },
+     "execution_count": 192,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bysex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# but using \"mult\" this time\n",
+    "a = create_sequential(time, initial=1.0, mult=bysex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 |  2019\n",
+       "       M |  1.0 |  1.5 | 2.25 | 3.375\n",
+       "       F |  1.0 |  2.0 |  4.0 |   8.0"
+      ]
+     },
+     "execution_count": 194,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2017 | 2018 | 2019\n",
+       "       M |  0.5 |  0.5 |  0.5\n",
+       "       F |  1.0 |  1.0 |  1.0"
+      ]
+     },
+     "execution_count": 195,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.growth_rate(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2017 | 2018 | 2019\n",
+       "       M |  1.5 |  1.5 |  1.5\n",
+       "       F |  2.0 |  2.0 |  2.0"
+      ]
+     },
+     "execution_count": 196,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.growth_rate(x.time) + 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## shift - drop first label of an axis and shift all subsequent labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "a = create_sequential(time, initial=1.0, inc=bysex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |  1.0 |  2.5 |  4.0 |  5.5\n",
+       "       F |  1.0 |  3.0 |  5.0 |  7.0"
+      ]
+     },
+     "execution_count": 198,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2017 | 2018 | 2019\n",
+       "       M |  1.0 |  2.5 |  4.0\n",
+       "       F |  1.0 |  3.0 |  5.0"
+      ]
+     },
+     "execution_count": 199,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# when shift is applied on an (increasing) time axis, it effectively brings \"past\" data into the future\n",
+    "a.shift(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2017 | 2018 | 2019\n",
+       "       M |  1.5 |  1.5 |  1.5\n",
+       "       F |  2.0 |  2.0 |  2.0"
+      ]
+     },
+     "execution_count": 200,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this is mostly useful when you want to do operation between the past and now\n",
+    "# as an exemple, here is an alternative implementation of the .diff method seen above:\n",
+    "a[2017:] - a.shift(x.time)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Misc other interesting functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There are a lot more functions available: \n",
+    "- round, floor, ceil, trunc, \n",
+    "- exp, log, log10, \n",
+    "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
+    "- sin, cos, tan, arcsin, arccos, arctan\n",
+    "- ...\n",
+    "- and many many more..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## more Excel IO"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "a = ndrange((sex, time))\n",
+    "wb = open_excel('c:/tmp/test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# put a at A1 in Sheet1, excluding headers (labels)\n",
+    "wb['Sheet1'] = a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# dump a at A1 in Sheet2, including headers (labels)\n",
+    "wb['Sheet2'] = a.dump()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# save the file to disk\n",
+    "wb.save()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# close it\n",
+    "wb.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb = open_excel('c:/tmp/test.xlsx')\n",
+    "# load a from the data starting at A1 in Sheet1, assuming the absence of headers.\n",
+    "a1 = wb['Sheet1']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<larray.excel.Sheet at 0x28867209908>"
+      ]
+     },
+     "execution_count": 207,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 208,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# load a from the data starting at A1 in Sheet1, assuming the presence of (correctly formatted) headers.\n",
+    "a2 = wb['Sheet2'].load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 209,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 209,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 211,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb = open_excel('c:/tmp/test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# note that Sheet2 must exist\n",
+    "sheet2 = wb['Sheet2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 213,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# write a without labels starting at C5\n",
+    "sheet2['C5'] = a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 214,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# write a with its labels starting at A10\n",
+    "sheet2['A10'] = a.dump()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 215,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.save()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# load an array with its axes information from a range. \n",
+    "# As you might have guessed, we could also use the sheet2 variable here\n",
+    "b = wb['Sheet2']['A10:D12'].load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018\n",
+       "       M |    0 |    1 |    2\n",
+       "       F |    4 |    5 |    6"
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# load an array (raw data) with no axis information from a range. \n",
+    "c = sheet2['B11:D12']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "larray.excel.Range"
+      ]
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# in fact, this is not really an LArray ...\n",
+    "type(c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0}* |   0 |   1 |   2\n",
+       "     | 4.0 | 6.0 | 8.0"
+      ]
+     },
+     "execution_count": 220,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ... but it can be used as such (this is currently very experimental)\n",
+    "c.sum(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# ... and it can be used for other stuff, like setting the formula instead of the value:\n",
+    "c.formula = '=D10+1'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# in the future, we should also be able to set font name, size, style, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sessions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "a = ndrange([sex, time])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 225,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 226,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# you can groups several arrays in a Session\n",
+    "s1 = Session()\n",
+    "s1.a = a\n",
+    "s1.b = zeros_like(a)\n",
+    "s1.c = ones_like(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 227,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# view(s1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### the advantage of sessions is that you can manipulate all of the arrays in them in one shot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'C:\\\\Users\\\\gdm\\\\devel\\\\larray\\\\doc\\\\notebooks'"
+      ]
+     },
+     "execution_count": 228,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 229,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
+       "       M |    0 |    1 |    2 |    3\n",
+       "       F |    4 |    5 |    6 |    7"
+      ]
+     },
+     "execution_count": 229,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1.a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
+    "s1.dump('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 231,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
+    "s1.dump('test.h5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 232,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# this creates a session out of all arrays in the .h5 file\n",
+    "s2 = Session('test.h5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(a, b, c)"
+      ]
+     },
+     "execution_count": 233,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# the excel version does not work currently (axes are not detected properly)\n",
+    "s3 = Session('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 235,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# view(s2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name |    a |    b |    c\n",
+       "     | True | True | True"
+      ]
+     },
+     "execution_count": 236,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1 == s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 237,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us introduce a difference (a variant, or a mistake perhaps)\n",
+    "s2.b['F', 2018:] = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 238,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name |    a |     b |    c\n",
+       "     | True | False | True"
+      ]
+     },
+     "execution_count": 238,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1 == s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 239,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "s1_diff = s1[s1 != s2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 240,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(b)"
+      ]
+     },
+     "execution_count": 240,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1_diff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 241,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "s2_diff = s2[s1 != s2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 242,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(b)"
+      ]
+     },
+     "execution_count": 242,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s2_diff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 243,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# this a bit experimental but can be usefull nonetheless\n",
+    "compare(s1_diff[0], s2_diff[0])"
+   ]
   }
  ],
  "metadata": {
   "celltoolbar": "Raw Cell Format",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },
@@ -798,7 +5525,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.4.2"
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,

From 15742dd172f64b23eb9b4138d993aea78525208d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 16:23:20 +0200
Subject: [PATCH 085/899] make sure we do not have np.str_ for axes names as it
 causes problems down the line with xlwings

---
 larray/core.py  | 9 ++++++++-
 larray/utils.py | 2 ++
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 65ae89c28..9900ffed0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -368,7 +368,7 @@
     np_nanprod = None
 
 from larray.utils import (table2str, unique, csv_open, unzip, long,
-                          decode, basestring, izip, rproduct, ReprString,
+                          decode, basestring, bytes, izip, rproduct, ReprString,
                           duplicates, array_lookup2, skip_comment_cells,
                           strip_rows, PY3)
 
@@ -679,6 +679,11 @@ def __init__(self, name, labels):
         """
         if isinstance(name, Axis):
             name = name.name
+        # make sure we do not have np.str_ as it causes problems down the
+        # line with xlwings. Cannot use isinstance to check that though.
+        is_python_str = type(name) is str or type(name) is bytes
+        assert name is None or isinstance(name, int) or is_python_str, \
+            type(name)
         self.name = name
         self._labels = None
         self.__mapping = None
@@ -5067,6 +5072,8 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
     # pandas treats the "time" labels as column names (strings) so we need
     # to convert them to values
     axes_labels.append([parse(cell) for cell in df.columns.values])
+    axes_names = [str(name) if name is not None else name
+                  for name in axes_names]
 
     axes = [Axis(name, labels) for name, labels in zip(axes_names, axes_labels)]
     data = df.values.reshape([len(axis) for axis in axes])
diff --git a/larray/utils.py b/larray/utils.py
index 6f7a2246b..e39399f6d 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -21,10 +21,12 @@
 if sys.version < '3':
     basestring = basestring
     bytes = str
+    unicode = unicode
     long = long
     PY3 = False
 else:
     basestring = str
+    bytes = bytes
     unicode = str
     long = int
     PY3 = True

From 9a497fce4a08170a5ad65d2f4b6e342821df2020 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 16:24:14 +0200
Subject: [PATCH 086/899] load empty excel sheets via xlwings correctly (ie do
 not crash)

---
 larray/excel.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 957e65cda..6fb8e8013 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -376,6 +376,8 @@ def __str__(self):
 
         def load(self, header=True, convert_float=True, nb_index=0,
                  index_col=None):
+            if not self.ndim:
+                return LArray([])
             if index_col is None and nb_index > 0:
                 index_col = list(range(nb_index))
 

From 889356b55b00462e5a32d93dd07f8630f9e75b7f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 Aug 2016 16:35:53 +0200
Subject: [PATCH 087/899] allow index_col to be a single int

---
 larray/excel.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 6fb8e8013..ae50a5820 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -380,6 +380,8 @@ def load(self, header=True, convert_float=True, nb_index=0,
                 return LArray([])
             if index_col is None and nb_index > 0:
                 index_col = list(range(nb_index))
+            elif isinstance(index_col, int):
+                index_col = [index_col]
 
             list_data = self._converted_value(convert_float=convert_float)
 

From 8511715bf656d9ff12f0736091edc7a259b87fb3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 12 Aug 2016 12:29:54 +0200
Subject: [PATCH 088/899] cleanup import

---
 larray/excel.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index ae50a5820..09125b233 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -3,10 +3,8 @@
 import numpy as np
 try:
     import xlwings as xw
-    from xlwings.conversion.pandas_conv import PandasDataFrameConverter
 except ImportError:
     xw = None
-    PandasDataFrameConverter = object
 
 from .core import LArray, df_aslarray, Axis
 from .utils import unique, basestring
@@ -15,6 +13,9 @@
 
 
 if xw is not None:
+    from xlwings.conversion.pandas_conv import PandasDataFrameConverter
+
+
     class LArrayConverter(PandasDataFrameConverter):
         writes_types = LArray
 

From db6a91fb53b8169656448ab4ce02ef5ed097ae28 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 12 Aug 2016 16:09:12 +0200
Subject: [PATCH 089/899] update version to 0.14.1

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 2 +-
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 8b552052d..3274e3f33 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.14
+  version: 0.14.1
 
 source:
-  git_tag: 0.14
+  git_tag: 0.14.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index c7b40e308..401c4fe3b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -70,7 +70,7 @@
 # The short X.Y version.
 version = '0.14'
 # The full version, including alpha/beta/rc tags.
-release = '0.14'
+release = '0.14.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 9900ffed0..b2d51d8c9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.14"
+__version__ = "0.14.1"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index a10daab3c..852460aad 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.14'
+VERSION = '0.14.1'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From f27d5c87c8754036ed869bbc235fda86b104f650 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 12 Aug 2016 16:12:20 +0200
Subject: [PATCH 090/899] better support for loading Excel files without axe
 names

---
 larray/excel.py | 33 +++++++++++++++++++++++----------
 1 file changed, 23 insertions(+), 10 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 09125b233..7397e303c 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -399,18 +399,31 @@ def load(self, header=True, convert_float=True, nb_index=0,
                 except StopIteration:
                     # if there isn't any, assume 1d array, unless
                     # "liam2 dialect"
-                    pos_last = 0
-                axes_names = header_line[:pos_last + 1]
-                # TODO: factor this with df_aslarray
-                if isinstance(axes_names[-1], basestring) and \
-                        '\\' in axes_names[-1]:
-                    last_axes = [name.strip()
-                                 for name in axes_names[-1].split('\\')]
-                    axes_names = axes_names[:-1] + last_axes
+                    pos_last = -1
+
+                # '\' found => we have several axes names
+                if pos_last >= 0:
+                    axes_names = header_line[:pos_last + 1]
+                    # TODO: factor this with df_aslarray
+                    if isinstance(axes_names[-1], basestring) and \
+                            '\\' in axes_names[-1]:
+                        last_axes = [name.strip()
+                                     for name in axes_names[-1].split('\\')]
+                        axes_names = axes_names[:-1] + last_axes
+                # no axes names but index_col provided
+                elif index_col is not None:
+                    # TODO: use header_line in this case too to support
+                    # manually specifying nb_index when there are axes names
+                    # (whether the array is 1d or not)
+                    nb_axes = len(index_col) + 1
+                    axes_names = [None] * nb_axes
+                # assume 1d array
+                else:
+                    axes_names = header_line[0]
 
                 # this can only happen if both nb_index=0 and index_col is None
-                # XXX: we might want to have nb_index default to None instead of
-                #      0 so that we can force "no index at all"
+                # TODO: nb_index should default to None instead of
+                #      0 so that we can force "no index at all" (ie 1d array)
                 if index_col is None:
                     nb_index = len(axes_names) - 1
                     index_col = list(range(nb_index))

From e31e3ca01a3ac991db7cb83552e3a6cabe2c51ce Mon Sep 17 00:00:00 2001
From: gbryon <gb@plan.be>
Date: Mon, 22 Aug 2016 10:41:57 +0200
Subject: [PATCH 091/899] added axes_info to Arraywidget

---
 larray/viewer.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9451f2aa2..98597a2bf 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1186,7 +1186,13 @@ def __init__(self, parent, data, readonly=False,
         self.bgcolor_checkbox = bgcolor
         btn_layout.addWidget(bgcolor)
 
+
+        self.axes_info = QLabel("")
+        info_layout = QHBoxLayout()
+        info_layout.addWidget(self.axes_info)
+
         layout = QVBoxLayout()
+        layout.addLayout(info_layout)
         layout.addLayout(self.filters_layout)
         layout.addWidget(self.view)
         layout.addLayout(btn_layout)
@@ -1202,6 +1208,11 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
         self.current_filter = current_filter
         self.global_changes = {}
         if isinstance(data, la.LArray):
+            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
+                                       for display_name, axis
+                                       in zip(data.axes.display_names, data.axes))
+            self.axes_info.setText(axes_info)
+
             self.la_data = data
             filters_layout = self.filters_layout
             clear_layout(filters_layout)

From 6e09eafdfa17f0ce11869ff16134590781bb7049 Mon Sep 17 00:00:00 2001
From: gbryon <gb@plan.be>
Date: Mon, 22 Aug 2016 12:42:16 +0200
Subject: [PATCH 092/899] added tooltip with LArray.info to listview items in
 Session

---
 larray/viewer.py | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 98597a2bf..0d2067979 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -75,7 +75,7 @@
 import sys
 
 from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
-                         QItemDelegate, QListWidget, QSplitter,
+                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
                          QLineEdit, QCheckBox, QGridLayout,
                          QDoubleValidator, QIntValidator,
                          QDialog, QDialogButtonBox, QPushButton,
@@ -1186,7 +1186,6 @@ def __init__(self, parent, data, readonly=False,
         self.bgcolor_checkbox = bgcolor
         btn_layout.addWidget(bgcolor)
 
-
         self.axes_info = QLabel("")
         info_layout = QHBoxLayout()
         info_layout.addWidget(self.axes_info)
@@ -1745,7 +1744,11 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setLayout(layout)
 
         self._listwidget = QListWidget(self)
-        self._listwidget.addItems(self.data.names)
+        #self._listwidget.addItems(self.data.names)
+        for name in self.data.names:
+            item = QListWidgetItem(self._listwidget)
+            item.setText(name)
+            item.setToolTip("%s: %s" % (name,self.data[name].info))
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 

From cb5895dcfe612456a980fda515a410f84d2366f9 Mon Sep 17 00:00:00 2001
From: gbryon <gb@plan.be>
Date: Thu, 22 Sep 2016 09:23:57 +0200
Subject: [PATCH 093/899] added tooltip with cell info to cell view in grid add
 dimension of the current LArray to the window title bar

---
 larray/viewer.py | 30 +++++++++++++++++++-----------
 1 file changed, 19 insertions(+), 11 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 0d2067979..3bf071ebe 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -496,6 +496,16 @@ def bgcolor(self, state):
         self.bgcolor_enabled = state > 0
         self.reset()
 
+    def get_labels(self, index):
+        if (index.row() < len(self.xlabels) - 1) or \
+                (index.column() < len(self.ylabels) - 1):
+            return ""
+        i = index.row() - len(self.xlabels) + 1
+        j = index.column() - len(self.ylabels) + 1
+
+        labels=["%s=%s" %(self.xlabels[0][k], self.ylabels[k+1][i]) for k in range(len(self.ylabels) - 1)]  + ["%s=%s" % (self.xlabels[0][-1], self.xlabels[1][j])]
+        return ", ". join(labels)
+
     def get_value(self, index):
         i = index.row() - len(self.xlabels) + 1
         j = index.column() - len(self.ylabels) + 1
@@ -566,7 +576,7 @@ def data(self, index, role=Qt.DisplayRole):
                     value = bg_value.data.flat[idx]
                     return self.bg_gradient[value]
         elif role == Qt.ToolTipRole:
-            return to_qvariant(repr(value))
+            return to_qvariant("%s\n%s" %(repr(value),self.get_labels(index)))
         return to_qvariant()
 
     def get_values(self, left=0, top=0, right=None, bottom=None):
@@ -1186,12 +1196,7 @@ def __init__(self, parent, data, readonly=False,
         self.bgcolor_checkbox = bgcolor
         btn_layout.addWidget(bgcolor)
 
-        self.axes_info = QLabel("")
-        info_layout = QHBoxLayout()
-        info_layout.addWidget(self.axes_info)
-
         layout = QVBoxLayout()
-        layout.addLayout(info_layout)
         layout.addLayout(self.filters_layout)
         layout.addWidget(self.view)
         layout.addLayout(btn_layout)
@@ -1207,11 +1212,6 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
         self.current_filter = current_filter
         self.global_changes = {}
         if isinstance(data, la.LArray):
-            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
-                                       for display_name, axis
-                                       in zip(data.axes.display_names, data.axes))
-            self.axes_info.setText(axes_info)
-
             self.la_data = data
             filters_layout = self.filters_layout
             clear_layout(filters_layout)
@@ -1900,6 +1900,14 @@ def ipython_cell_executed(self):
 
     def on_item_changed(self, curr, prev):
         name = str(curr.text())
+        title = name
+        if isinstance(self.data[name], la.LArray):
+            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
+                                       for display_name, axis
+                                       in zip(self.data[name].axes.display_names, self.data[name].axes))
+            title = (title + ': ' + axes_info) if title else axes_info
+        self.setWindowTitle(title)
+
         self.arraywidget.set_data(self.data[name])
         expr = self.expressions.get(name, name)
         if qtconsole_available:

From 4d40a6e0e5bc78fb3132867a3c2e62dc7e2e333e Mon Sep 17 00:00:00 2001
From: gbryon <gb@plan.be>
Date: Thu, 22 Sep 2016 09:32:04 +0200
Subject: [PATCH 094/899] Added methods to Axes - matches - startswith -
 endswith

Added operations to LGroup
- &, |, +, -
- support for sorted()
---
 larray/core.py          |  69 +++++++++++++++++++++++-
 larray/oset.py          | 114 ++++++++++++++++++++++++++++++++++++++++
 larray/tests/test_la.py |  25 +++++++++
 3 files changed, 207 insertions(+), 1 deletion(-)
 create mode 100644 larray/oset.py

diff --git a/larray/core.py b/larray/core.py
index b2d51d8c9..8108f54a0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -349,6 +349,10 @@
 import os
 from itertools import product, chain, groupby, islice
 import sys
+import re
+
+from larray.oset import *
+
 try:
     import builtins
 except ImportError:
@@ -853,6 +857,36 @@ def equals(self, other):
                (len(self) == len(other) if self.iswildcard else
                     np.array_equal(self.labels, other.labels))
 
+    def matches(self, pattern):
+        '''
+        returns a LGroup with all the labels matching (regex) the specified pattern
+
+        xm.axes.sutcode.matches('^..$') = labels 2 characters long
+        '''
+        return LGroup(self._axisregex(pattern))
+
+    def startswith(self, pattern):
+        '''
+        returns a LGroup with the lables starting with the specified string
+
+        xm.axes.sutcode.startswith('25A')
+        '''
+        res = self._axisregex('^%s.*' % pattern)
+        return LGroup(res)
+
+    def endswith(self, pattern):
+        '''
+        returns a LGroup with the lables ending with the specified string
+
+        xm.axes.sutcode.endswith('01')
+        '''
+        res = self._axisregex('.*%s$' % pattern)
+        return LGroup(res)
+
+    def _axisregex(self, pattern):
+        rx = re.compile(pattern)
+        return [v for v in self if rx.match(v)]
+
     def __len__(self):
         return self._length
 
@@ -1123,8 +1157,10 @@ def __iter__(self):
             # the only interest is to expand slices
             pos = self.axis.translate(self)
             return iter(self.axis.labels[pos])
-        else:
+        elif isinstance(self.key, (slice, str)):
             raise Exception('not iterable')
+        else:
+            return iter(self.key)
 
     def named(self, name):
         """Returns group with a different name.
@@ -1203,6 +1239,9 @@ def __str__(self):
         return '%r (%s)' % (self.name, str_key) if self.name is not None \
             else str_key
 
+    # def __iter__(self):
+    #     return iter(self.key)
+
     def __lt__(self, other):
         other_key = other.key if isinstance(other, LGroup) else other
         return self.key.__lt__(other_key)
@@ -1214,6 +1253,34 @@ def __gt__(self, other):
     def __getitem__(self, key):
         return self.key[key]
 
+    def __add__(self, other):
+        return self.union(other)
+
+    def __sub__(self, other):
+        return self.difference(other)
+
+    def union(self, other):
+        if isinstance(other, str):
+            other = [other]
+        other_key = other.key if isinstance(other, LGroup) else other
+        return LGroup(list(OrderedSet(self.key).union(OrderedSet(other_key))))
+
+    __or__ = union
+
+    def intersection(self, other):
+        if isinstance(other, str):
+            other = [other]
+        other_key = other.key if isinstance(other, LGroup) else other
+        return LGroup(list(OrderedSet(self.key).intersection(OrderedSet(other_key))))
+
+    __and__ = intersection
+
+    def difference(self, other):
+        if isinstance(other, str):
+            other = [other]
+        other_key = other.key if isinstance(other, LGroup) else other
+        return LGroup(list(OrderedSet(self.key).difference(OrderedSet(other_key))))
+
 
 class PGroup(Group):
     """
diff --git a/larray/oset.py b/larray/oset.py
new file mode 100644
index 000000000..9e766a149
--- /dev/null
+++ b/larray/oset.py
@@ -0,0 +1,114 @@
+# copy-pasted from SQLAlchemy util/_collections.py
+
+# Copyright (C) 2005-2015 the SQLAlchemy authors and contributors
+# <see AUTHORS file>
+#
+# This module is part of SQLAlchemy and is released under
+# the MIT License: http://www.opensource.org/licenses/mit-license.php
+
+from larray.utils import unique_list
+
+class OrderedSet(set):
+    def __init__(self, d=None):
+        set.__init__(self)
+        if d is not None:
+            self._list = unique_list(d)
+            set.update(self, self._list)
+        else:
+            self._list = []
+
+    def add(self, element):
+        if element not in self:
+            self._list.append(element)
+        set.add(self, element)
+
+    def remove(self, element):
+        set.remove(self, element)
+        self._list.remove(element)
+
+    def insert(self, pos, element):
+        if element not in self:
+            self._list.insert(pos, element)
+        set.add(self, element)
+
+    def discard(self, element):
+        if element in self:
+            self._list.remove(element)
+            set.remove(self, element)
+
+    def clear(self):
+        set.clear(self)
+        self._list = []
+
+    def __getitem__(self, key):
+        return self._list[key]
+
+    def __iter__(self):
+        return iter(self._list)
+
+    def __add__(self, other):
+        return self.union(other)
+
+    def __repr__(self):
+        return '%s(%r)' % (self.__class__.__name__, self._list)
+
+    __str__ = __repr__
+
+    def update(self, iterable):
+        for e in iterable:
+            if e not in self:
+                self._list.append(e)
+                set.add(self, e)
+        return self
+
+    __ior__ = update
+
+    def union(self, other):
+        result = self.__class__(self)
+        result.update(other)
+        return result
+
+    __or__ = union
+
+    def intersection(self, other):
+        other = set(other)
+        return self.__class__(a for a in self if a in other)
+
+    __and__ = intersection
+
+    def symmetric_difference(self, other):
+        other = set(other)
+        result = self.__class__(a for a in self if a not in other)
+        result.update(a for a in other if a not in self)
+        return result
+
+    __xor__ = symmetric_difference
+
+    def difference(self, other):
+        other = set(other)
+        return self.__class__(a for a in self if a not in other)
+
+    __sub__ = difference
+
+    def intersection_update(self, other):
+        other = set(other)
+        set.intersection_update(self, other)
+        self._list = [a for a in self._list if a in other]
+        return self
+
+    __iand__ = intersection_update
+
+    def symmetric_difference_update(self, other):
+        set.symmetric_difference_update(self, other)
+        self._list = [a for a in self._list if a in self]
+        self._list += [a for a in other._list if a in self]
+        return self
+
+    __ixor__ = symmetric_difference_update
+
+    def difference_update(self, other):
+        set.difference_update(self, other)
+        self._list = [a for a in self._list if a in self]
+        return self
+
+    __isub__ = difference_update
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index cc4e51bfc..687df9310 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -168,6 +168,12 @@ def test_group(self):
         # arr3x = geo.seq('A31', 'A38') # not equivalent to geo['A31:A38'] !
         #                               # (if A22 is between A31 and A38)
 
+    def test_match(self):
+        sutcode = Axis('sutcode', ['A23', 'A2301', 'A25', 'A2501'])
+        self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
+        self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
+        self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
+
     def test_getitem(self):
         age = Axis('age', ':115')
         vg = age.group(':17')
@@ -345,6 +351,25 @@ def test_eq(self):
         self.assertEqual(self.list, ['P01', 'P03', 'P07'])
         self.assertEqual(self.list, ('P01', 'P03', 'P07'))
 
+    def test_otherops(self):
+        self.assertEqual(LGroup(['A23', 'A2301']) | LGroup(['A25', 'A2501']),
+                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
+        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) | LGroup(['A25', 'A2501']),
+                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
+
+        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) & LGroup(['A25', 'A2501']),
+                         LGroup(['A25']))
+
+        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - LGroup(['A25', 'A2501']),
+                         LGroup(['A23', 'A2301']))
+        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - ['A25', 'A2501'],
+                         LGroup(['A23', 'A2301']))
+        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - 'A2301',
+                         LGroup(['A23', 'A25']))
+
+        self.assertEqual(sorted(LGroup(['A25', 'A2501', 'A23', 'A2301'])),
+                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
+
     def test_hash(self):
         d = {self.slice_both: 1,
              self.single_value: 2,

From d6fc8d7bf185c823a4391ec3f511df4a567159e8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 09:45:46 +0200
Subject: [PATCH 095/899] fixed typos in usage tutorial, most of them reported
 by Guy Van Camp

---
 doc/notebooks/LArray usage.ipynb | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/doc/notebooks/LArray usage.ipynb b/doc/notebooks/LArray usage.ipynb
index b59878e2b..5febda24b 100644
--- a/doc/notebooks/LArray usage.ipynb	
+++ b/doc/notebooks/LArray usage.ipynb	
@@ -807,7 +807,7 @@
     }
    ],
    "source": [
-    "# to take subsets of an array, use []. Single elements along an axis, drop the concerned dimensions, \n",
+    "# to take subsets of an array, use []. Single elements along an axis drop the concerned dimensions; \n",
     "# other dimensions are left intact. Here we take women aged 10:\n",
     "a[10, 'F']"
    ]
@@ -1968,7 +1968,7 @@
     }
    ],
    "source": [
-    "# ... though this is only necessary if you want to one take a subset on a dimension without also\n",
+    "# ... though this is only necessary if you want to take a subset on a dimension without also\n",
     "# taking a subset of all dimensions before it. So, for example if one wants to subset the first dimension, this works:\n",
     "a.i[10:13]"
    ]
@@ -2907,7 +2907,7 @@
     }
    ],
    "source": [
-    "# this particular operatior (dividing the array by its sum along an axis) is built-in though:\n",
+    "# this particular operation (dividing the array by its sum along an axis) is built-in though:\n",
     "a.ratio(x.age)"
    ]
   },
@@ -3254,7 +3254,7 @@
    },
    "outputs": [],
    "source": [
-    "# select all cells which satisfy the filter, but note that it collapse all the concercne axes (age and time)\n",
+    "# select all cells which satisfy the filter, but note that it collapse all the concerned axes (age and time)\n",
     "r = a[age >= age_limit]"
    ]
   },
@@ -3490,7 +3490,7 @@
    },
    "outputs": [],
    "source": [
-    "c = b.set_labels(x.sex, ['Women', 'Men'])"
+    "c = b.set_labels(x.sex, ['Men', 'Women'])"
    ]
   },
   {
@@ -4805,8 +4805,8 @@
     }
    ],
    "source": [
-    "# this is mostly useful when you want to do operation between the past and now\n",
-    "# as an exemple, here is an alternative implementation of the .diff method seen above:\n",
+    "# this is mostly useful when you want to do operations between the past and now\n",
+    "# as an example, here is an alternative implementation of the .diff method seen above:\n",
     "a[2017:] - a.shift(x.time)"
    ]
   },
@@ -5219,7 +5219,7 @@
    },
    "outputs": [],
    "source": [
-    "# you can groups several arrays in a Session\n",
+    "# you can group several arrays in a Session\n",
     "s1 = Session()\n",
     "s1.a = a\n",
     "s1.b = zeros_like(a)\n",

From ea009485255af83afe84b0f5c256dac97e034237 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 09:48:45 +0200
Subject: [PATCH 096/899] added XXX

---
 larray/excel.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/excel.py b/larray/excel.py
index 7397e303c..52c5d0193 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -92,6 +92,8 @@ def __init__(self, filepath, *args, **kwargs):
                 else:
                     # this is ugly but this is the only way I found to
                     # create a new workbook and set its filepath
+                    # XXX: this is confusing for the user if he tries to
+                    # open the file before it is saved.
                     xw_wkb = xw.Workbook(*args, **kwargs)
                     xw_wkb.save(filepath)
             self.xw_wkb = xw_wkb
@@ -159,6 +161,7 @@ def save(self, path=None):
             >>> # wb.save("c:/path/to/new_file_name.xlsx")
             >>> wb.close()
             """
+            #XXX: this might not be needed anymore with xlwings 0.9.3+
             if path is not None:
                 path = os.path.abspath(path)
             self.xw_wkb.save(path)

From 05c60296adfd8ea49055e8c148d9717d71676abd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 09:53:00 +0200
Subject: [PATCH 097/899] update TODO/comments

---
 larray/core.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8108f54a0..6407ab838 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -97,11 +97,11 @@
 
 # => NDGroup((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
 # => Group((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
-# => (x.axis1[5:10] | x.axis2.i[2.5]).named('exports')
+# => (x.axis1[5:10] & x.axis2.i[2.5]).named('exports')
 
 # generalizing "named" and suppressing .group seems like a good idea!
 # => x.axis1.group([5, 7, 10], name='brussels')
-# => x.axis1[[5, 7, 10]].named('brussels')
+# => x.axis1[5, 7, 10].named('brussels')
 
 # http://xarray.pydata.org/en/stable/indexing.html#pointwise-indexing
 # http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.lookup.html#pandas.DataFrame.lookup
@@ -2613,6 +2613,9 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
         """
         # TODO: do it for Group without axis too
         # TODO: do it for LArray key too (but using .i[] instead)
+        # TODO: we should skip this chunk stuff for keys where the axis is known
+        #       otherwise we do translate(key[:1]) without any reason
+        #       (in addition to translate(key))
         if isinstance(axis_key, (tuple, list, np.ndarray)):
             axis = None
             # TODO: I should actually do some benchmarks to see if this is
@@ -2630,6 +2633,9 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             # the (start of the) key match a single axis
             if axis is not None:
                 # make sure we have an Axis object
+                # TODO: we should make sure the tkey returned from
+                # _translate_axis_key_chunk always contains a real Axis (and
+                # thus kill this line)
                 axis = self.axes[axis]
                 # wrap key in LGroup
                 axis_key = axis[axis_key]

From e7d8e3d4e44a11cd05624462d544b6a2513bca46 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 09:54:30 +0200
Subject: [PATCH 098/899] cleanup group_agg tests

---
 larray/tests/test_la.py | 27 +++++++++------------------
 1 file changed, 9 insertions(+), 18 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 687df9310..1011db32c 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1588,7 +1588,7 @@ def test_cumsum(self):
         # using axes names
         assert_array_equal(la.cumsum('sex'), self.array.cumsum(2))
 
-    def test_group_agg(self):
+    def test_group_agg_kwargs(self):
         la = self.larray
         age, geo, sex, lipro = la.axes
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
@@ -1597,24 +1597,24 @@ def test_group_agg(self):
         # a) group aggregate on a fresh array
 
         # a.1) one group => collapse dimension
-        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
         self.assertEqual(la.sum(sex='H').shape, (116, 44, 15))
         self.assertEqual(la.sum(sex='H,F').shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex=sex['H']).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(geo='A11,A21,A25').shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=['A11', 'A21', 'A25']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=geo.group('A11,A21,A25')).shape,
                          (116, 2, 15))
 
-        self.assertEqual(la.sum(geo=geo.all()).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=':').shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo=geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo=geo[':']).shape, (116, 2, 15))
         # Include everything between two labels. Since A11 is the first label
         # and A21 is the last one, this should be equivalent to the previous
         # tests.
         self.assertEqual(la.sum(geo='A11:A21').shape, (116, 2, 15))
         assert_array_equal(la.sum(geo='A11:A21'), la.sum(geo=':'))
-        assert_array_equal(la.sum(geo['A11:A21']), la.sum(geo=':'))
+        assert_array_equal(la.sum(geo=geo['A11:A21']), la.sum(geo=':'))
 
         # a.2) a tuple of one group => do not collapse dimension
         self.assertEqual(la.sum(geo=(geo.all(),)).shape, (116, 1, 2, 15))
@@ -1646,7 +1646,7 @@ def test_group_agg(self):
         reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         self.assertEqual(reg.shape, (4, 15))
 
-    def test_group_agg_no_kwarg(self):
+    def test_group_agg_guess_axis(self):
         la = self.larray
         age, geo, sex, lipro = la.axes
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
@@ -1656,26 +1656,19 @@ def test_group_agg_no_kwarg(self):
 
         # a.1) one group => collapse dimension
         # not sure I should support groups with a single item in an aggregate
-        men = sex.i[[0]]
-        self.assertEqual(la.sum(men).shape, (116, 44, 15))
         self.assertEqual(la.sum('H').shape, (116, 44, 15))
         self.assertEqual(la.sum('H,').shape, (116, 44, 15))
         self.assertEqual(la.sum('H,F').shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
 
         self.assertEqual(la.sum('A11,A21,A25').shape, (116, 2, 15))
         self.assertEqual(la.sum(['A11', 'A21', 'A25']).shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo.group('A11,A21,A25')).shape,
-                         (116, 2, 15))
 
-        self.assertEqual(la.sum(geo.all()).shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
         # Include everything between two labels. Since A11 is the first label
-        # and A21 is the last one, this should be equivalent to the previous
-        # tests.
+        # and A21 is the last one, this should be equivalent to taking the
+        # full axis.
         self.assertEqual(la.sum('A11:A21').shape, (116, 2, 15))
         assert_array_equal(la.sum('A11:A21'), la.sum(geo=':'))
-        assert_array_equal(la.sum(geo['A11:A21']), la.sum(geo=':'))
+        assert_array_equal(la.sum('A11:A21'), la.sum(geo))
 
         # a.2) a tuple of one group => do not collapse dimension
         self.assertEqual(la.sum((geo.all(),)).shape, (116, 1, 2, 15))
@@ -1700,8 +1693,6 @@ def test_group_agg_no_kwarg(self):
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        # : is ambiguous
-        # self.assertEqual(la.sum('P01,P03;P02,P05;:',
         self.assertEqual(la.sum('P01,P03;P02,P05;P01:',
                                 (vla, wal, bru, belgium)).shape,
                          (116, 4, 2, 3))

From c18085551d50cad914a067d3149aae38e3405328 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 099/899] fixed group_agg using anonymous axes

---
 larray/core.py          |  2 +-
 larray/tests/test_la.py | 20 ++++++++++++++++++--
 2 files changed, 19 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6407ab838..80c1ab473 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3338,7 +3338,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                     # we do not care about the name at this point
                     group = LGroup(key, axis=group.axis)
 
-                arr = res.__getitem__({axis.name: group}, collapse_slices=True)
+                arr = res.__getitem__(group, collapse_slices=True)
                 if res_data.ndim == 1:
                     assert len(idx) == 1 and idx[0] == i
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 1011db32c..eb552e22f 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1714,6 +1714,20 @@ def test_group_agg_one_axis(self):
 
         assert_array_equal(la.sum(a[0, 2]), raw[[0, 2]].sum())
 
+    def test_group_agg_anonymous_axis(self):
+        la = ndrange((2, 3))
+        a1, a2 = la.axes
+        raw = np.asarray(la)
+        assert_array_equal(la.sum(a2[0, 2]), raw[:, [0, 2]].sum(1))
+
+    # TODO: fix this (and add other tests for references (x.) to anonymous axes
+    # def test_group_agg_anonymous_axis_ref(self):
+    #     la = ndrange((2, 3))
+    #     raw = np.asarray(la)
+    #     # this does not work because x[1] refers to an axis with name 1,
+    #     # which does not exist. We might want to change this.
+    #     assert_array_equal(la.sum(x[1][0, 2]), raw[:, [0, 2]].sum(1))
+
     # group aggregates on a group-aggregated array
     def test_group_agg_on_group_agg(self):
         la = self.larray
@@ -1995,7 +2009,7 @@ def test_sum_with_groups_from_other_axis(self):
         lipro2 = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
         self.assertEqual(small.sum(lipro=lipro2['P01,P03']).shape, (2,))
 
-        # use group from another *incompatible* axis
+        # use (compatible) group from another *incompatible* axis
         # XXX: I am unsure whether or not this should be allowed. Maybe we
         # should simply check that the group is valid in axis, but that
         # will trigger a pretty meaningful error anyway
@@ -2005,7 +2019,9 @@ def test_sum_with_groups_from_other_axis(self):
         # use a group (from another axis) which is incompatible with the axis of
         # the same name in the array
         lipro4 = Axis('lipro', 'P01,P03,P16')
-        with self.assertRaises(KeyError):
+        with self.assertRaisesRegexp(ValueError,
+                                     "\['P01' 'P16'\] is not a valid label for "
+                                     "any axis"):
             small.sum(lipro4['P01,P16'])
 
     def test_ratio(self):

From 19038185ed95346ff58e7871cd91b08b9e263570 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 100/899] fixed group_agg using LGroups with axes references

also added another test for group_agg using normal LGroup too
---
 larray/core.py          |   5 ++
 larray/tests/test_la.py | 154 +++++++++++++++++++++++++++++++++++++++-
 2 files changed, 158 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 80c1ab473..210cba786 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3304,6 +3304,9 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 assert all(isinstance(g, Group) for g in item)
                 groups = item
                 axis = groups[0].axis
+                # they should all have the same axis (this is already checked
+                # in _prepare_aggregate though)
+                assert all(g.axis.equals(axis) for g in groups[1:])
                 killaxis = False
             else:
                 # item is in fact a single group
@@ -3314,6 +3317,8 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 killaxis = True
 
             axis, axis_idx = res.axes[axis], res.axes.index(axis)
+            # potentially translate axis reference to real axes
+            groups = tuple(g.with_axis(axis) for g in groups)
             res_shape[axis_idx] = len(groups)
             res_dtype = res.dtype if op not in (np.mean, np.nanmean) else float
             res_data = np.empty(res_shape, dtype=res_dtype)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index eb552e22f..8da01f097 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1707,9 +1707,161 @@ def test_group_agg_guess_axis(self):
         reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         self.assertEqual(reg.shape, (4, 15))
 
+    def test_group_agg_label_group(self):
+        la = self.larray
+        age, geo, sex, lipro = la.axes
+        vla, wal, bru = geo[self.vla_str], geo[self.wal_str], geo[self.bru_str]
+        belgium = geo[self.belgium]
+
+        # a) group aggregate on a fresh array
+
+        # a.1) one group => collapse dimension
+        # not sure I should support groups with a single item in an aggregate
+        men = sex.i[[0]]
+        self.assertEqual(la.sum(men).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H,']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H,F']).shape, (116, 44, 15))
+
+        self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo['A11', 'A21', 'A25']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo.group('A11,A21,A25')).shape,
+                         (116, 2, 15))
+
+        self.assertEqual(la.sum(geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
+
+        # Include everything between two labels. Since A11 is the first label
+        # and A21 is the last one, this should be equivalent to the previous
+        # tests.
+        self.assertEqual(la.sum(geo['A11:A21']).shape, (116, 2, 15))
+        assert_array_equal(la.sum(geo['A11:A21']), la.sum(geo))
+        assert_array_equal(la.sum(geo['A11':'A21']), la.sum(geo))
+
+        # a.2) a tuple of one group => do not collapse dimension
+        self.assertEqual(la.sum((geo[:],)).shape, (116, 1, 2, 15))
+
+        # a.3) several groups
+        # string groups
+        self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
+
+        # XXX: do we also want to support this? I do not really like it because
+        # it gets tricky when we have some other axes into play. For now the
+        # error message is unclear because it first aggregates on "vla", then
+        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
+
+        # with one label in several groups
+        self.assertEqual(la.sum((sex['H'], sex[['H', 'F']])).shape,
+                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['H'], sex['H', 'F'])).shape,
+                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['H'], sex['H,F'])).shape, (116, 44, 2, 15))
+        # XXX: do we want to support this?
+        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+
+        aggregated = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+
+        # a.4) several dimensions at the same time
+        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
+        #                         (vla, wal, bru, belgium)).shape,
+        #                  (116, 4, 2, 3))
+        self.assertEqual(la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]),
+                                (vla, wal, bru, belgium)).shape,
+                         (116, 4, 2, 3))
+
+        # b) both axis aggregate and group aggregate at the same time
+        # Note that you must list "full axes" aggregates first (Python does
+        # not allow non-kwargs after kwargs.
+        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
+                         (4, 15))
+
+        # c) chain group aggregate after axis aggregate
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(reg.shape, (4, 15))
+
+    def test_group_agg_axis_ref_label_group(self):
+        la = self.larray
+        age, geo, sex, lipro = x.age, x.geo, x.sex, x.lipro
+        vla, wal, bru = geo[self.vla_str], geo[self.wal_str], geo[self.bru_str]
+        belgium = geo[self.belgium]
+
+        # a) group aggregate on a fresh array
+
+        # a.1) one group => collapse dimension
+        # not sure I should support groups with a single item in an aggregate
+        men = sex.i[[0]]
+        self.assertEqual(la.sum(men).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H,']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['H,F']).shape, (116, 44, 15))
+
+        self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo['A11', 'A21', 'A25']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo.group('A11,A21,A25')).shape,
+                         (116, 2, 15))
+
+        self.assertEqual(la.sum(geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
+
+        # Include everything between two labels. Since A11 is the first label
+        # and A21 is the last one, this should be equivalent to the previous
+        # tests.
+        self.assertEqual(la.sum(geo['A11:A21']).shape, (116, 2, 15))
+        assert_array_equal(la.sum(geo['A11:A21']), la.sum(geo))
+        assert_array_equal(la.sum(geo['A11':'A21']), la.sum(geo))
+
+        # a.2) a tuple of one group => do not collapse dimension
+        self.assertEqual(la.sum((geo[:],)).shape, (116, 1, 2, 15))
+
+        # a.3) several groups
+        # string groups
+        self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
+
+        # XXX: do we also want to support this? I do not really like it because
+        # it gets tricky when we have some other axes into play. For now the
+        # error message is unclear because it first aggregates on "vla", then
+        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
+
+        # with one label in several groups
+        self.assertEqual(la.sum((sex['H'], sex[['H', 'F']])).shape,
+                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['H'], sex['H', 'F'])).shape,
+                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['H'], sex['H,F'])).shape, (116, 44, 2, 15))
+        # XXX: do we want to support this?
+        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+
+        aggregated = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+
+        # a.4) several dimensions at the same time
+        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
+        #                         (vla, wal, bru, belgium)).shape,
+        #                  (116, 4, 2, 3))
+        self.assertEqual(la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]),
+                                (vla, wal, bru, belgium)).shape,
+                         (116, 4, 2, 3))
+
+        # b) both axis aggregate and group aggregate at the same time
+        # Note that you must list "full axes" aggregates first (Python does
+        # not allow non-kwargs after kwargs.
+        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
+                         (4, 15))
+
+        # c) chain group aggregate after axis aggregate
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(reg.shape, (4, 15))
+
     def test_group_agg_one_axis(self):
         a = Axis('a', range(3))
-        la = ndrange([a])
+        la = ndrange(a)
         raw = np.asarray(la)
 
         assert_array_equal(la.sum(a[0, 2]), raw[[0, 2]].sum())

From d8941ffbea671d1edcb65fe6dbeb4678f7d89300 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 101/899] cleanup LGroup __ops__ removed LGroup.__add__ ;-)
 made LGroup ops work with non string scalars

---
 larray/core.py | 31 ++++++++++++++-----------------
 1 file changed, 14 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 210cba786..82b6d1ac7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1239,9 +1239,6 @@ def __str__(self):
         return '%r (%s)' % (self.name, str_key) if self.name is not None \
             else str_key
 
-    # def __iter__(self):
-    #     return iter(self.key)
-
     def __lt__(self, other):
         other_key = other.key if isinstance(other, LGroup) else other
         return self.key.__lt__(other_key)
@@ -1253,33 +1250,33 @@ def __gt__(self, other):
     def __getitem__(self, key):
         return self.key[key]
 
-    def __add__(self, other):
-        return self.union(other)
-
-    def __sub__(self, other):
-        return self.difference(other)
-
     def union(self, other):
-        if isinstance(other, str):
+        if np.isscalar(other):
             other = [other]
         other_key = other.key if isinstance(other, LGroup) else other
-        return LGroup(list(OrderedSet(self.key).union(OrderedSet(other_key))))
-
+        # FIXME: keep axis
+        # XXX: what about name?
+        return LGroup(list(OrderedSet(self.key) | OrderedSet(other_key)))
     __or__ = union
+    __add__ = union
 
     def intersection(self, other):
-        if isinstance(other, str):
+        if np.isscalar(other):
             other = [other]
         other_key = other.key if isinstance(other, LGroup) else other
-        return LGroup(list(OrderedSet(self.key).intersection(OrderedSet(other_key))))
-
+        # FIXME: keep axis
+        # XXX: what about name?
+        return LGroup(list(OrderedSet(self.key) & OrderedSet(other_key)))
     __and__ = intersection
 
     def difference(self, other):
-        if isinstance(other, str):
+        if np.isscalar(other):
             other = [other]
         other_key = other.key if isinstance(other, LGroup) else other
-        return LGroup(list(OrderedSet(self.key).difference(OrderedSet(other_key))))
+        # FIXME: keep axis
+        # XXX: what about name?
+        return LGroup(list(OrderedSet(self.key) - OrderedSet(other_key)))
+    __sub__ = difference
 
 
 class PGroup(Group):

From e39b1c347a489fca8daffe8c48a6ee3e5e1101aa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 102/899] cleanup oset

---
 larray/oset.py | 13 ++-----------
 1 file changed, 2 insertions(+), 11 deletions(-)

diff --git a/larray/oset.py b/larray/oset.py
index 9e766a149..89f7c8ff3 100644
--- a/larray/oset.py
+++ b/larray/oset.py
@@ -8,6 +8,7 @@
 
 from larray.utils import unique_list
 
+
 class OrderedSet(set):
     def __init__(self, d=None):
         set.__init__(self)
@@ -46,9 +47,6 @@ def __getitem__(self, key):
     def __iter__(self):
         return iter(self._list)
 
-    def __add__(self, other):
-        return self.union(other)
-
     def __repr__(self):
         return '%s(%r)' % (self.__class__.__name__, self._list)
 
@@ -60,20 +58,18 @@ def update(self, iterable):
                 self._list.append(e)
                 set.add(self, e)
         return self
-
     __ior__ = update
 
     def union(self, other):
         result = self.__class__(self)
         result.update(other)
         return result
-
     __or__ = union
+    __add__ = union
 
     def intersection(self, other):
         other = set(other)
         return self.__class__(a for a in self if a in other)
-
     __and__ = intersection
 
     def symmetric_difference(self, other):
@@ -81,13 +77,11 @@ def symmetric_difference(self, other):
         result = self.__class__(a for a in self if a not in other)
         result.update(a for a in other if a not in self)
         return result
-
     __xor__ = symmetric_difference
 
     def difference(self, other):
         other = set(other)
         return self.__class__(a for a in self if a not in other)
-
     __sub__ = difference
 
     def intersection_update(self, other):
@@ -95,7 +89,6 @@ def intersection_update(self, other):
         set.intersection_update(self, other)
         self._list = [a for a in self._list if a in other]
         return self
-
     __iand__ = intersection_update
 
     def symmetric_difference_update(self, other):
@@ -103,12 +96,10 @@ def symmetric_difference_update(self, other):
         self._list = [a for a in self._list if a in self]
         self._list += [a for a in other._list if a in self]
         return self
-
     __ixor__ = symmetric_difference_update
 
     def difference_update(self, other):
         set.difference_update(self, other)
         self._list = [a for a in self._list if a in self]
         return self
-
     __isub__ = difference_update

From 9c73ec6bc484276d69b3031d53fdabf283db4ee6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 103/899] cleanup ArrayModel.get_labels (made it more readable
 IMO)

---
 larray/viewer.py | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3bf071ebe..02390159c 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -497,14 +497,18 @@ def bgcolor(self, state):
         self.reset()
 
     def get_labels(self, index):
-        if (index.row() < len(self.xlabels) - 1) or \
-                (index.column() < len(self.ylabels) - 1):
-            return ""
         i = index.row() - len(self.xlabels) + 1
         j = index.column() - len(self.ylabels) + 1
-
-        labels=["%s=%s" %(self.xlabels[0][k], self.ylabels[k+1][i]) for k in range(len(self.ylabels) - 1)]  + ["%s=%s" % (self.xlabels[0][-1], self.xlabels[1][j])]
-        return ", ". join(labels)
+        if i < 0 or j < 0:
+            return ""
+        dim_names = self.xlabels[0]
+        ndim = len(dim_names)
+        last_dim_labels = self.xlabels[1]
+        # ylabels[0] are empty
+        labels = [self.ylabels[d + 1][i] for d in range(ndim - 1)] + \
+                 [last_dim_labels[j]]
+        return ", ".join("%s=%s" % (dim_name, label)
+                         for dim_name, label in zip(dim_names, labels))
 
     def get_value(self, index):
         i = index.row() - len(self.xlabels) + 1

From 3547fe913b5365c99f4ef05a119582fa0b6a6673 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 104/899] simplified LGroup ops test

---
 larray/tests/test_la.py | 34 +++++++++++++++++-----------------
 1 file changed, 17 insertions(+), 17 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 8da01f097..a968223cf 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -352,23 +352,23 @@ def test_eq(self):
         self.assertEqual(self.list, ('P01', 'P03', 'P07'))
 
     def test_otherops(self):
-        self.assertEqual(LGroup(['A23', 'A2301']) | LGroup(['A25', 'A2501']),
-                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
-        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) | LGroup(['A25', 'A2501']),
-                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
-
-        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) & LGroup(['A25', 'A2501']),
-                         LGroup(['A25']))
-
-        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - LGroup(['A25', 'A2501']),
-                         LGroup(['A23', 'A2301']))
-        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - ['A25', 'A2501'],
-                         LGroup(['A23', 'A2301']))
-        self.assertEqual(LGroup(['A23', 'A2301', 'A25']) - 'A2301',
-                         LGroup(['A23', 'A25']))
-
-        self.assertEqual(sorted(LGroup(['A25', 'A2501', 'A23', 'A2301'])),
-                         LGroup(['A23', 'A2301', 'A25', 'A2501']))
+        self.assertEqual(LGroup(['a', 'b']) | LGroup(['c', 'd']),
+                         LGroup(['a', 'b', 'c', 'd']))
+        self.assertEqual(LGroup(['a', 'b', 'c']) | LGroup(['c', 'd']),
+                         LGroup(['a', 'b', 'c', 'd']))
+
+        self.assertEqual(LGroup(['a', 'b', 'c']) & LGroup(['c', 'd']),
+                         LGroup(['c']))
+
+        self.assertEqual(LGroup(['a', 'b', 'c']) - LGroup(['c', 'd']),
+                         LGroup(['a', 'b']))
+        self.assertEqual(LGroup(['a', 'b', 'c']) - ['c', 'd'],
+                         LGroup(['a', 'b']))
+        self.assertEqual(LGroup(['a', 'b', 'c']) - 'b',
+                         LGroup(['a', 'c']))
+
+        self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
+                         LGroup(['a', 'b', 'c', 'd']))
 
     def test_hash(self):
         d = {self.slice_both: 1,

From 2c2b0bc18556d2d2f33492276462154f2bcb2396 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 105/899] fixed viewer eval box when qtconsole not present

---
 larray/viewer.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 02390159c..8274431d9 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1839,7 +1839,7 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setWindowFlags(Qt.Window)
         return True
 
-    def update_session(self, value):
+    def update_session(self, value, s=None):
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
         new_keys = list(keys_after - keys_before)
@@ -1859,7 +1859,7 @@ def update_session(self, value):
 
             to_display = changed_keys[0]
 
-            if not qtconsole_available:
+            if not qtconsole_available and s is not None:
                 self.expressions[to_display] = s
 
             changed_items = self._listwidget.findItems(to_display,
@@ -1879,7 +1879,7 @@ def line_edit_update(self):
         if statement_pattern.match(s):
             context = self.data._objects.copy()
             exec(s, la.__dict__, context)
-            self.update_session(context)
+            self.update_session(context, s)
         else:
             self.view_expr(eval(s, la.__dict__, self.data))
 

From 76753918df44eda0b2ff394b7074aabbefcdedd2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 106/899] cleanup viewer code

---
 larray/viewer.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 8274431d9..200e8706f 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1722,8 +1722,11 @@ def __init__(self, parent=None):
         self.setAttribute(Qt.WA_DeleteOnClose)
 
         self.data = None
+        self._listwidget = None
         self.arraywidget = None
+        self.eval_box = None
         self.expressions = {}
+        self.kernel = None
 
     def setup_and_check(self, data, title='', readonly=False,
                         minvalue=None, maxvalue=None):
@@ -1748,11 +1751,10 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setLayout(layout)
 
         self._listwidget = QListWidget(self)
-        #self._listwidget.addItems(self.data.names)
         for name in self.data.names:
             item = QListWidgetItem(self._listwidget)
             item.setText(name)
-            item.setToolTip("%s: %s" % (name,self.data[name].info))
+            item.setToolTip("%s: %s" % (name, self.data[name].info))
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 

From ffbd8b05edb1a4ef66d2660582f057c7be1997ef Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=3F=C3=82=C2=ABtan=20de=20Menten?=
 <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 10:17:21 +0200
Subject: [PATCH 107/899] added test for non-string scalar LGroup op

---
 larray/tests/test_la.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index a968223cf..968834607 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -366,6 +366,8 @@ def test_otherops(self):
                          LGroup(['a', 'b']))
         self.assertEqual(LGroup(['a', 'b', 'c']) - 'b',
                          LGroup(['a', 'c']))
+        self.assertEqual(LGroup([1, 2, 3]) - 4, LGroup([1, 2, 3]))
+        self.assertEqual(LGroup([1, 2, 3]) - 2, LGroup([1, 3]))
 
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
                          LGroup(['a', 'b', 'c', 'd']))

From 2fb1e6138a706af83ce3918f6ddaeb85ca959449 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 16:04:28 +0200
Subject: [PATCH 108/899] bump version to 0.15

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 3274e3f33..9c5576c56 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.14.1
+  version: 0.15
 
 source:
-  git_tag: 0.14.1
+  git_tag: 0.15
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 401c4fe3b..3359022a4 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.14'
+version = '0.15'
 # The full version, including alpha/beta/rc tags.
-release = '0.14.1'
+release = '0.15'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 82b6d1ac7..720e3ea80 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.14.1"
+__version__ = "0.15"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index 852460aad..1e9623b0e 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.14.1'
+VERSION = '0.15'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 7b593ed540a5a71aa8c3d8e7de14dffc24ae8c85 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 17:05:50 +0200
Subject: [PATCH 109/899] fixed loading 1D arrays using open_excel

---
 larray/excel.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/excel.py b/larray/excel.py
index 52c5d0193..aaeaaff36 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -422,7 +422,7 @@ def load(self, header=True, convert_float=True, nb_index=0,
                     axes_names = [None] * nb_axes
                 # assume 1d array
                 else:
-                    axes_names = header_line[0]
+                    axes_names = [header_line[0]]
 
                 # this can only happen if both nb_index=0 and index_col is None
                 # TODO: nb_index should default to None instead of

From 0f468e4010ec9e06c813aac6628c50637f0db022 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 22 Sep 2016 17:29:25 +0200
Subject: [PATCH 110/899] split LGroup.test_otherops

---
 larray/tests/test_la.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 968834607..e9f047f98 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -351,15 +351,17 @@ def test_eq(self):
         self.assertEqual(self.list, ['P01', 'P03', 'P07'])
         self.assertEqual(self.list, ('P01', 'P03', 'P07'))
 
-    def test_otherops(self):
+    def test_or(self):
         self.assertEqual(LGroup(['a', 'b']) | LGroup(['c', 'd']),
                          LGroup(['a', 'b', 'c', 'd']))
         self.assertEqual(LGroup(['a', 'b', 'c']) | LGroup(['c', 'd']),
                          LGroup(['a', 'b', 'c', 'd']))
 
+    def test_and(self):
         self.assertEqual(LGroup(['a', 'b', 'c']) & LGroup(['c', 'd']),
                          LGroup(['c']))
 
+    def test_sub(self):
         self.assertEqual(LGroup(['a', 'b', 'c']) - LGroup(['c', 'd']),
                          LGroup(['a', 'b']))
         self.assertEqual(LGroup(['a', 'b', 'c']) - ['c', 'd'],
@@ -369,6 +371,7 @@ def test_otherops(self):
         self.assertEqual(LGroup([1, 2, 3]) - 4, LGroup([1, 2, 3]))
         self.assertEqual(LGroup([1, 2, 3]) - 2, LGroup([1, 3]))
 
+    def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
                          LGroup(['a', 'b', 'c', 'd']))
 

From 4f6a02a646f1ff6f40010bc0943d062b7e630cab Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 23 Sep 2016 18:38:04 +0200
Subject: [PATCH 111/899] fix typos

---
 larray/core.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 720e3ea80..b2c899ee2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -858,28 +858,28 @@ def equals(self, other):
                     np.array_equal(self.labels, other.labels))
 
     def matches(self, pattern):
-        '''
+        """
         returns a LGroup with all the labels matching (regex) the specified pattern
 
         xm.axes.sutcode.matches('^..$') = labels 2 characters long
-        '''
+        """
         return LGroup(self._axisregex(pattern))
 
     def startswith(self, pattern):
-        '''
-        returns a LGroup with the lables starting with the specified string
+        """
+        returns a LGroup with the labels starting with the specified string
 
         xm.axes.sutcode.startswith('25A')
-        '''
+        """
         res = self._axisregex('^%s.*' % pattern)
         return LGroup(res)
 
     def endswith(self, pattern):
-        '''
-        returns a LGroup with the lables ending with the specified string
+        """
+        returns a LGroup with the labels ending with the specified string
 
         xm.axes.sutcode.endswith('01')
-        '''
+        """
         res = self._axisregex('.*%s$' % pattern)
         return LGroup(res)
 

From 095b2b48ed42cea0d525a3d111b227f317f3c8ad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 23 Sep 2016 18:41:53 +0200
Subject: [PATCH 112/899] * fixed LGroup ops to conserve axis * LGroup ops
 generate a name automatically * fixed support for LGroup ops with LGroup
 containing a scalar * use a method factory to avoid repeating functions

---
 larray/core.py          | 73 +++++++++++++++++++++++++----------------
 larray/tests/test_la.py | 34 +++++++++++++++++++
 2 files changed, 78 insertions(+), 29 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index b2c899ee2..339718414 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1152,15 +1152,20 @@ def __repr__(self):
     def __len__(self):
         return len(self.key)
 
-    def __iter__(self):
-        if isinstance(self.axis, Axis):
-            # the only interest is to expand slices
-            pos = self.axis.translate(self)
-            return iter(self.axis.labels[pos])
-        elif isinstance(self.key, (slice, str)):
-            raise Exception('not iterable')
+    def eval(self):
+        if isinstance(self.key, slice):
+            if isinstance(self.axis, Axis):
+                # expand slices
+                pos = self.axis.translate(self)
+                return self.axis.labels[pos]
+            else:
+                raise ValueError("Cannot evaluate a slice group without axis")
         else:
-            return iter(self.key)
+            # we do not check the group labels are actually valid on Axis
+            return self.key
+
+    def __iter__(self):
+        return iter(self.eval())
 
     def named(self, name):
         """Returns group with a different name.
@@ -1250,32 +1255,42 @@ def __gt__(self, other):
     def __getitem__(self, key):
         return self.key[key]
 
-    def union(self, other):
-        if np.isscalar(other):
-            other = [other]
-        other_key = other.key if isinstance(other, LGroup) else other
-        # FIXME: keep axis
-        # XXX: what about name?
-        return LGroup(list(OrderedSet(self.key) | OrderedSet(other_key)))
+    def _to_oset(self):
+        lkey = self.eval()
+        if np.isscalar(lkey):
+            lkey = [lkey]
+        return OrderedSet(lkey)
+
+    # method factory
+    def _binop(opname, c):
+        op_fullname = '__%s__' % opname
+
+        # TODO: implement this in a delayed fashion for reference axes
+        def opmethod(self, other):
+            if not isinstance(other, LGroup):
+                other = LGroup(other)
+            axis = self.axis if self.axis is not None else other.axis
+
+            # setting a meaningful name is hard when either one has no name
+            if self.name is not None and other.name is not None:
+                name = '%s %s %s' % (self.name, c, other.name)
+            else:
+                name = None
+            # TODO: implement this in a more efficient way for ndarray keys
+            #       which can be large
+            result_set = getattr(self._to_oset(), op_fullname)(other._to_oset())
+            return LGroup(list(result_set), name=name, axis=axis)
+        opmethod.__name__ = op_fullname
+        return opmethod
+
+    union = _binop('or', '|')
     __or__ = union
     __add__ = union
 
-    def intersection(self, other):
-        if np.isscalar(other):
-            other = [other]
-        other_key = other.key if isinstance(other, LGroup) else other
-        # FIXME: keep axis
-        # XXX: what about name?
-        return LGroup(list(OrderedSet(self.key) & OrderedSet(other_key)))
+    intersection = _binop('and', '&')
     __and__ = intersection
 
-    def difference(self, other):
-        if np.isscalar(other):
-            other = [other]
-        other_key = other.key if isinstance(other, LGroup) else other
-        # FIXME: keep axis
-        # XXX: what about name?
-        return LGroup(list(OrderedSet(self.key) - OrderedSet(other_key)))
+    difference = _binop('sub', '-')
     __sub__ = difference
 
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index e9f047f98..da1ce5485 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -352,14 +352,48 @@ def test_eq(self):
         self.assertEqual(self.list, ('P01', 'P03', 'P07'))
 
     def test_or(self):
+        # without axis
         self.assertEqual(LGroup(['a', 'b']) | LGroup(['c', 'd']),
                          LGroup(['a', 'b', 'c', 'd']))
         self.assertEqual(LGroup(['a', 'b', 'c']) | LGroup(['c', 'd']),
                          LGroup(['a', 'b', 'c', 'd']))
+        # with axis
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b'] | alpha['c', 'd']
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'])
+        self.assertEqual(alpha['a', 'b', 'c'] | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'])
+
+        # with axis & name
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b'].named('ab') | alpha['c', 'd'].named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'ab | cd')
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'])
+        self.assertEqual(alpha['a', 'b', 'c'] | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'])
+
+        # numeric axis
+        num = Axis('num', range(10))
+        # single int
+        self.assertEqual(num[1, 5, 3] | 4, num[1, 5, 3, 4])
+        self.assertEqual(num[1, 5, 3] | num[4], num[1, 5, 3, 4])
+        self.assertEqual(num[4] | num[1, 5, 3], num[4, 1, 5, 3])
+        # slices
+        self.assertEqual(num[:2] | num[8:], num[0, 1, 2, 8, 9])
+        self.assertEqual(num[:2] | num[5], num[0, 1, 2, 5])
 
     def test_and(self):
+        # without axis
         self.assertEqual(LGroup(['a', 'b', 'c']) & LGroup(['c', 'd']),
                          LGroup(['c']))
+        # with axis & name
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b', 'c'].named('abc') & alpha['c', 'd'].named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'abc & cd')
+        self.assertEqual(res, alpha[['c']])
 
     def test_sub(self):
         self.assertEqual(LGroup(['a', 'b', 'c']) - LGroup(['c', 'd']),

From cbae851581f386aad18a56ba59a8a5b0cae3a87f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 9 Aug 2016 14:45:43 +0200
Subject: [PATCH 113/899] WIP: support xlwings 0.9+

---
 larray/excel.py | 60 ++++++++++++++++++++++---------------------------
 1 file changed, 27 insertions(+), 33 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index aaeaaff36..1a994a07b 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -54,15 +54,16 @@ def __init__(self, filepath, *args, **kwargs):
             # of DispatchEx).
             # See: https://github.com/ZoomerAnalytics/xlwings/issues/335
             if filepath is None:
-                # creates a new/blank Workbook
-                if 'app_visible' not in kwargs:
-                    kwargs['app_visible'] = True
+                # creates a new/blank Book
                 self.was_open = False
-                xw_wkb = xw.Workbook(*args, **kwargs)
+                # new App is visible by default
+                app = xw.App()
+                xw_wkb = app.books[0]
             elif filepath == -1:
                 # not really True, but in this case close() should really close
                 self.was_open = False
-                xw_wkb = xw.Workbook.active()
+                # active book in active app/instance
+                xw_wkb = xw.books.active
             else:
                 basename, ext = os.path.splitext(filepath)
                 if ext:
@@ -82,20 +83,12 @@ def __init__(self, filepath, *args, **kwargs):
                     # usually either work with relative paths or with the
                     # currently active workbook.
                     filepath = os.path.abspath(filepath)
-                if 'app_visible' not in kwargs:
-                    kwargs['app_visible'] = None
-                self.was_open = xw.xlplatform.is_file_open(filepath)
-                if os.path.isfile(filepath):
-                    # if os.path.isfile(filepath) and overwrite_file:
-                    #     os.remove(filepath)
-                    xw_wkb = xw.Workbook(filepath, *args, **kwargs)
-                else:
-                    # this is ugly but this is the only way I found to
-                    # create a new workbook and set its filepath
-                    # XXX: this is confusing for the user if he tries to
-                    # open the file before it is saved.
-                    xw_wkb = xw.Workbook(*args, **kwargs)
-                    xw_wkb.save(filepath)
+                # if 'visible' not in kwargs:
+                #     kwargs['visible'] = None
+                self.was_open = False  #xw.xlplatform.is_file_open(filepath)
+                xw_wkb = xw.Book(filepath, *args, **kwargs)
+                # if os.path.isfile(filepath) and overwrite_file:
+                #     os.remove(filepath)
             self.xw_wkb = xw_wkb
 
         def _concrete_key(self, key):
@@ -123,18 +116,17 @@ def __setitem__(self, key, value):
                     # avoid having the sheet name renamed to "name (1)"
                     xw_sheet.name = '__tmp__'
                     # add new sheet before sheet to overwrite
-                    value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+                    value.xw_sheet.api.Copy(xw_sheet.api)
                     xw_sheet.delete()
                 else:
                     xw_sheet = self[-1]
-                    value.xw_sheet.xl_sheet.Copy(xw_sheet.xl_sheet)
+                    value.xw_sheet.api.Copy(xw_sheet.api)
                 return
             if key in self:
-                key = self._concrete_key(key)
-                sheet = Sheet(self, key)
+                sheet = self[key]
                 sheet.clear()
             else:
-                xw_sheet = xw.Sheet.add(name=key, wkb=self.xw_wkb)
+                xw_sheet = self.xw_wkb.sheets.add(key)
                 sheet = Sheet(None, None, xw_sheet=xw_sheet)
             sheet["A1"] = value
 
@@ -143,7 +135,7 @@ def sheet_names(self):
 
         def save(self, path=None):
             """
-            Saves the Workbook. If a path is being provided, this works like
+            Saves the Book. If a path is being provided, this works like
             SaveAs() in Excel. If no path is specified and if the file has
             not been saved previously, it's being saved in the current working
             directory with the current filename. Existing files are overwritten
@@ -168,7 +160,7 @@ def save(self, path=None):
 
         def close(self, force=False):
             """
-            Close the current connection to the Workbook. If the workbook was
+            Close the current connection to the Book. If the workbook was
             not already open in Excel when this connection was created, it is
             closed in Excel, otherwise it is left open in Excel unless `force`
             is used. In the case the workbook is left open in Excel, the
@@ -186,18 +178,18 @@ def close(self, force=False):
                 self.xw_wkb.close()
 
             # not using None, because that is the default value for xlwings,
-            # and means that this Workbook object would remain functional (but
+            # and means that this Book object would remain functional (but
             # possibly pointing at another file!) if there is any Excel file
             # left open.
             self.xw_wkb = ClosedBook()
             self.was_open = False
 
         def __iter__(self):
-            xw_sheets = xw.Sheet.all(self.xw_wkb)
-            return iter([Sheet(None, None, xw_sheet) for xw_sheet in xw_sheets])
+            return iter([Sheet(None, None, xw_sheet)
+                         for xw_sheet in self.xw_wkb.sheets])
 
         def __len__(self):
-            return len(xw.Sheet.all(self.xw_wkb))
+            return len(self.xw_wkb.sheets)
 
         def __dir__(self):
             return list(set(dir(self.__class__)) | set(dir(self.xw_wkb)))
@@ -226,7 +218,7 @@ def _concrete_key(key, shape):
     class Sheet(object):
         def __init__(self, workbook, key, xw_sheet=None):
             if xw_sheet is None:
-                xw_sheet = xw.Sheet(key, wkb=workbook.xw_wkb)
+                xw_sheet = workbook.xw_wkb.sheets[key]
             self.xw_sheet = xw_sheet
 
         def __getitem__(self, key):
@@ -251,7 +243,8 @@ def __setitem__(self, key, value):
         @property
         def shape(self):
             # include top-left empty rows/columns
-            used = self.xw_sheet.xl_sheet.UsedRange
+            # XXX: is there an exposed xlwings API for this? expand maybe?
+            used = self.xw_sheet.api.UsedRange
             return (used.Row + used.Rows.Count - 1,
                     used.Column + used.Columns.Count - 1)
 
@@ -260,6 +253,7 @@ def ndim(self):
             return 2
 
         def __array__(self, dtype=None):
+            # FIXME: convert value like in Range
             return np.array(self[:].value, dtype=dtype)
 
         def __dir__(self):
@@ -305,7 +299,7 @@ def array(self, data, row_labels=None, column_labels=None, names=None):
 
     class Range(object):
         def __init__(self, sheet, *args):
-            xw_range = xw.Range(sheet.xw_sheet, *args)
+            xw_range = sheet.xw_sheet.range(*args)
 
             object.__setattr__(self, 'sheet', sheet)
             object.__setattr__(self, 'xw_range', xw_range)

From 0b6684ca613d8d42fc3800ea09aa0a1a44f12395 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 28 Sep 2016 08:14:29 +0200
Subject: [PATCH 114/899] refactored session I/O tests: split by format instead
 of dump/load

---
 larray/tests/test_session.py | 24 +++++++++++++-----------
 1 file changed, 13 insertions(+), 11 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index d002439fe..ae94eb2ee 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -88,29 +88,31 @@ def test_names(self):
         s.add(h='h')
         self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'])
 
-    def test_dump(self):
+    def test_h5_io(self):
         self.session.dump('test_session.h5')
+        s = Session()
+        s.load('test_session.h5')
+        self.assertEqual(s.names, ['e', 'f', 'g'])
+
+        s = Session()
+        s.load('test_session.h5', ['e', 'f'])
+        self.assertEqual(s.names, ['e', 'f'])
+
+    def test_xlsx_io(self):
         self.session.dump('test_session.xlsx', engine='pandas_excel')
         self.session.dump('test_session_ef.xlsx', ['e', 'f'],
                           engine='pandas_excel')
         # dump_excel uses default engine (xlwings) which is not available on
         # travis
         # self.session.dump_excel('test_session2.xlsx')
-        self.session.dump_csv('test_session_csv')
-
-    def test_load(self):
-        s = Session()
-        s.load('test_session.h5', ['e', 'f'])
-        self.assertEqual(s.names, ['e', 'f'])
-
-        s = Session()
-        s.load('test_session.h5')
-        self.assertEqual(s.names, ['e', 'f', 'g'])
 
         s = Session()
         s.load('test_session_ef.xlsx', engine='pandas_excel')
         self.assertEqual(s.names, ['e', 'f'])
 
+    def test_csv_io(self):
+        self.session.dump_csv('test_session_csv')
+
         s = Session()
         s.load('test_session_csv', engine='pandas_csv')
         self.assertEqual(s.names, ['e', 'f', 'g'])

From f70ffa98c911cdb04b1b69c6022ffc72a41c3a20 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Oct 2016 11:09:03 +0200
Subject: [PATCH 115/899] implement support for xlwings 0.9+ * own Excel
 instance: more reliable but slower * hidden & silent by default (do not
 prompt to update/edit links)

---
 larray/excel.py | 130 +++++++++++++++++++-----------------------------
 1 file changed, 50 insertions(+), 80 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index 1a994a07b..12a347061 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -33,13 +33,8 @@ def write_value(cls, value, options):
     LArrayConverter.register(LArray)
 
 
-    class ClosedBook(object):
-        def __getattribute__(self, key):
-            raise AttributeError("workbook is closed")
-
-
     class Workbook(object):
-        def __init__(self, filepath, *args, **kwargs):
+        def __init__(self, filepath, visible=None, app=None, silent=None):
             """
             Parameters
             ----------
@@ -49,21 +44,41 @@ def __init__(self, filepath, *args, **kwargs):
             args
             kwargs
             """
-            # in many cases, it would be better to open a new Excel instance but
-            # xlwings does not support that currently (it uses Dispatch instead
-            # of DispatchEx).
-            # See: https://github.com/ZoomerAnalytics/xlwings/issues/335
+            # active workbook use active app by default
+            if filepath == -1 and app is None:
+                app = -1
+
+            # unless explicitly set, app is only visible for "active book"
+            if visible is None:
+                visible = filepath == -1
+
+            if app is None:
+                app = xw.App(visible=visible, add_book=False)
+            elif app == -1:
+                app = xw.apps.active
+
+            if visible:
+                app.visible = visible
+
+            if silent is None:
+                silent = not visible
+
+            update_links_backup = app.api.AskToUpdateLinks
+            display_alerts_backup = app.display_alerts
+            if silent:
+                # try to update links silently instead of asking:
+                # "Update", "Don't Update", "Help"
+                app.api.AskToUpdateLinks = False
+
+                # in case some links cannot be updated, continue instead of
+                # asking: "Continue" or "Edit Links..."
+                app.display_alerts = False
+
             if filepath is None:
                 # creates a new/blank Book
-                self.was_open = False
-                # new App is visible by default
-                app = xw.App()
-                xw_wkb = app.books[0]
+                xw_wkb = app.books.add()
             elif filepath == -1:
-                # not really True, but in this case close() should really close
-                self.was_open = False
-                # active book in active app/instance
-                xw_wkb = xw.books.active
+                xw_wkb = app.books.active
             else:
                 basename, ext = os.path.splitext(filepath)
                 if ext:
@@ -73,22 +88,14 @@ def __init__(self, filepath, *args, **kwargs):
                     if not ext.startswith('.xl'):
                         raise ValueError("'%s' is not a supported file "
                                          "extension" % ext)
-
-                    # This is necessary because otherwise we cannot open/save to
-                    # a workbook in the current directory without giving the
-                    # full/absolute path. By doing this, we basically loose the
-                    # ability to target an already open workbook *of a saved
-                    # file* not in the current directory without using its
-                    # path. I can live with that restriction though because you
-                    # usually either work with relative paths or with the
-                    # currently active workbook.
-                    filepath = os.path.abspath(filepath)
-                # if 'visible' not in kwargs:
-                #     kwargs['visible'] = None
-                self.was_open = False  #xw.xlplatform.is_file_open(filepath)
-                xw_wkb = xw.Book(filepath, *args, **kwargs)
+                xw_wkb = app.books.open(filepath)
                 # if os.path.isfile(filepath) and overwrite_file:
                 #     os.remove(filepath)
+
+            if silent:
+                app.api.AskToUpdateLinks = update_links_backup
+                app.display_alerts = display_alerts_backup
+
             self.xw_wkb = xw_wkb
 
         def _concrete_key(self, key):
@@ -133,56 +140,15 @@ def __setitem__(self, key, value):
         def sheet_names(self):
             return [s.name for s in self]
 
-        def save(self, path=None):
-            """
-            Saves the Book. If a path is being provided, this works like
-            SaveAs() in Excel. If no path is specified and if the file has
-            not been saved previously, it's being saved in the current working
-            directory with the current filename. Existing files are overwritten
-            without prompting.
-
-            Arguments
-            ---------
-            path : str, default None
-                path to the workbook
-
-            Example
-            -------
-            >>> wb = open_excel()
-            >>> wb.save()
-            >>> # wb.save("c:/path/to/new_file_name.xlsx")
-            >>> wb.close()
-            """
-            #XXX: this might not be needed anymore with xlwings 0.9.3+
-            if path is not None:
-                path = os.path.abspath(path)
-            self.xw_wkb.save(path)
-
-        def close(self, force=False):
+        def close(self):
             """
-            Close the current connection to the Book. If the workbook was
-            not already open in Excel when this connection was created, it is
-            closed in Excel, otherwise it is left open in Excel unless `force`
-            is used. In the case the workbook is left open in Excel, the
-            connection to it becomes non functional.
-
-            Parameters
-            ----------
-            force : bool, optional
-                whether or not to force closing the workbook in Excel,
-                in addition to our connection to it. If not provided,
-                the workbook is closed in excel only if it was not open before
-                this python connection to it was created.
+            Close the workbook in Excel. If this was the last workbook of
+            that Excel instance, it also close the Excel instance.
             """
-            if not self.was_open or force:
-                self.xw_wkb.close()
-
-            # not using None, because that is the default value for xlwings,
-            # and means that this Book object would remain functional (but
-            # possibly pointing at another file!) if there is any Excel file
-            # left open.
-            self.xw_wkb = ClosedBook()
-            self.was_open = False
+            app = self.xw_wkb.app
+            self.xw_wkb.close()
+            if not app.books:
+                app.quit()
 
         def __iter__(self):
             return iter([Sheet(None, None, xw_sheet)
@@ -221,6 +187,8 @@ def __init__(self, workbook, key, xw_sheet=None):
                 xw_sheet = workbook.xw_wkb.sheets[key]
             self.xw_sheet = xw_sheet
 
+        # TODO: we can probably scrap this for xlwings 0.9+. We need to have
+        #       a unit test for this though.
         def __getitem__(self, key):
             if isinstance(key, string_types):
                 return Range(self, key)
@@ -316,6 +284,8 @@ def _range_key_to_sheet_key(self, key):
                 if isinstance(col, slice) else col + col_offset
             return row, col
 
+        # TODO: we can probably scrap this for xlwings 0.9+. We need to have
+        #       a unit test for this though.
         def __getitem__(self, key):
             return self.sheet[self._range_key_to_sheet_key(key)]
 

From 70ee4ee375f9433a532ba5e39095a2ff1909e8d4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Oct 2016 12:23:52 +0200
Subject: [PATCH 116/899] CLN: wrap long lines

---
 larray/viewer.py | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 200e8706f..dc5ac7ddb 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -374,7 +374,8 @@ def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
         self.minvalue = minvalue
         self.maxvalue = maxvalue
         # TODO: check that data respects minvalue/maxvalue
-        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
+        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient,
+                       bg_value=bg_value)
 
     def get_format(self):
         """Return current format"""
@@ -385,11 +386,13 @@ def get_data(self):
         """Return data"""
         return self._data
 
-    def set_data(self, data, xlabels=None, ylabels=None, changes=None, bg_gradient=None, bg_value=None):
+    def set_data(self, data, xlabels=None, ylabels=None, changes=None,
+                 bg_gradient=None, bg_value=None):
         self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
         self.reset()
 
-    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
+    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
+                  bg_value=None):
         if changes is None:
             changes = {}
         if data is None:
@@ -740,7 +743,8 @@ def headerData(self, section, orientation, role=Qt.DisplayRole):
         #     else:
         #         return to_qvariant("vert %d" % section)
         if role != Qt.DisplayRole:
-            # roles = {0: "display", 2: "edit", 8: "background", 9: "foreground",
+            # roles = {0: "display", 2: "edit",
+            #          8: "background", 9: "foreground",
             #          13: "sizehint", 4: "statustip", 11: "accessibletext",
             #          1: "decoration", 6: "font", 7: "textalign",
             #          10: "checkstate"}
@@ -1244,12 +1248,12 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
             data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
 
             # if xlabels is not None and len(xlabels) != self.data.shape[1]:
-            #     self.error(_("The 'xlabels' argument length do no match array "
-            #                  "column number"))
+            #     self.error(_("The 'xlabels' argument length do no match "
+            #                  "array column number"))
             #     return False
             # if ylabels is not None and len(ylabels) != self.data.shape[0]:
-            #     self.error(_("The 'ylabels' argument length do no match array row "
-            #                  "number"))
+            #     self.error(_("The 'ylabels' argument length do no match "
+            #                  "array row number"))
             #     return False
         self._set_raw_data(data, xlabels, ylabels,
                            bg_gradient=bg_gradient, bg_value=bg_value)
@@ -1408,7 +1412,8 @@ def cell_format(self):
                                     np.object_):
             return '%s'
         else:
-            return '%%.%d%s' % (self.digits, 'e' if self.use_scientific else 'f')
+            format_letter = 'e' if self.use_scientific else 'f'
+            return '%%.%d%s' % (self.digits, format_letter)
 
     def scientific_changed(self, value):
         self.use_scientific = value

From cf7462c40ef36494d990524eb80305df71297fba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Oct 2016 12:25:47 +0200
Subject: [PATCH 117/899] update comments/FIXME/TODO

---
 larray/core.py   |  2 +-
 larray/excel.py  |  8 +++++++-
 larray/viewer.py | 13 +++++++------
 3 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 339718414..49d1261f5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4041,11 +4041,11 @@ def opmethod(self, other):
     __ror__ = _binop('ror')
 
     def __matmul__(self, other):
-        # TODO: implement for matrices of any dimensions
         if not isinstance(other, (LArray, np.ndarray)):
             raise NotImplementedError("matrix multiplication not "
                                       "implemented for %s" % type(other))
 
+        # TODO: implement for matrices of any dimensions
         if self.ndim != 2 or other.ndim != 2:
             raise NotImplementedError("matrix multiplication not "
                                       "implemented for ndim != 2 (%d @ %d)"
diff --git a/larray/excel.py b/larray/excel.py
index 12a347061..ee7cf64d5 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -221,7 +221,8 @@ def ndim(self):
             return 2
 
         def __array__(self, dtype=None):
-            # FIXME: convert value like in Range
+            # FIXME: convert value like in Range, something like:
+            # return np.array(self[:]._converted_value(), dtype=dtype)
             return np.array(self[:].value, dtype=dtype)
 
         def __dir__(self):
@@ -252,6 +253,7 @@ def array(self, data, row_labels=None, column_labels=None, names=None):
             -------
             LArray
             """
+            # FIXME: use _convert_value
             if row_labels is not None:
                 row_labels = np.array(self[row_labels].value)
             if column_labels is not None:
@@ -320,6 +322,7 @@ def __array__(self, dtype=None):
             return np.array(self._converted_value(), dtype=dtype)
 
         def __larray__(self):
+            # FIXME: use converted_value
             return LArray(np.array(self.xw_range.value))
 
         def __dir__(self):
@@ -403,6 +406,9 @@ def load(self, header=True, convert_float=True, nb_index=0,
                 row_offset = 1
                 data_no_header = list_data[row_offset:]
                 data = np.array([line[col_offset:] for line in data_no_header])
+
+                # TODO: add support for sparse data (ie make it dense) like
+                #       in df_aslarray
                 axes_labels = [list(unique([line[i]
                                             for line in data_no_header]))
                                for i in index_col]
diff --git a/larray/viewer.py b/larray/viewer.py
index dc5ac7ddb..213c88475 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -17,12 +17,13 @@
 # pylint: disable=R0201
 
 # Note that the canonical way to implement filters in a TableView would
-# be to use a QSortFilterProxyModel. I would need to reimplement its
-# filterAcceptsColumn and filterAcceptsRow methods, but that seems pretty
-# doable, however I think it would be too slow on large arrays (because it
-# suppose you have the whole array in your model) and would probably not play
-# well with the partial/progressive load we have currently implemented. I have
-# also read quite a few people complaining about speed issues with those.
+# be to use a QSortFilterProxyModel. In this case, we would need to reimplement
+# its filterAcceptsColumn and filterAcceptsRow methods. The problem is that
+# it does seem to be really designed for very large arrays and it would
+# probably be too slow on those (I have read quite a few people complaining
+# about speed issues with those) possibly because it suppose you have the whole
+# array in your model. It would also probably not play well with the
+# partial/progressive load we have currently implemented.
 
 # TODO:
 # * drag & drop to reorder axes

From e53e734a7aab59b4078db826dfda8a37a2667716 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Oct 2016 12:37:22 +0200
Subject: [PATCH 118/899] remove outdated FIXME

---
 larray/core.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 49d1261f5..2028ac917 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3822,16 +3822,6 @@ def ratio(self, *axes):
              BE | 1.0 | 1.5
              FO | 1.0 | 4.0
         """
-        # >>> FIXME, this does not work, but it should
-        # >>> NotImplementedError: an AxisReference (x.) cannot translate labels
-        # >>> b = a.sum((x.age[[0, 1]], x.age[[1, 2]]))
-        # This works though
-        # >>> a.sum(([0, 1], [1, 2]))
-        # age\\sex | M | F
-        #   [0 1] | 2 | 4
-        #   [1 2] | 6 | 8
-        # >>> a.sum((age[[0, 1]], age[2]))
-        # >>> a.sum(([0, 1], 2))
         # # this does not work, but I am unsure it should
         # # >>> a.sum(age[[0, 1]], age[2]) / a.sum(age)
         # >>> a.sum(([0, 1], 2)) / a.sum(age)

From 257e049253e435319cde3431bd396556ffaf8e22 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Oct 2016 15:20:09 +0200
Subject: [PATCH 119/899] remove outdated TODO

---
 larray/utils.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/larray/utils.py b/larray/utils.py
index e39399f6d..3ab76b657 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -245,7 +245,6 @@ def array_lookup2(array, sorted_keys, sorted_values):
         return np.empty(0, dtype=sorted_values.dtype)
 
     array = np.asarray(array)
-    # TODO: this must be cached in the Axis
     # TODO: range axes should be optimized (reuse Pandas 0.18 indexes)
 
     # prevent an array of booleans from matching a integer axis (sorted_keys)

From bd4a461b36301fe2d032f25ded1d22dc7d193784 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 10:47:06 +0200
Subject: [PATCH 120/899] moved most "design" thoughts/comments from top of
 core.py to separate file

---
 design.txt     | 786 +++++++++++++++++++++++++++++++++++++++++++++++++
 larray/core.py | 255 ----------------
 2 files changed, 786 insertions(+), 255 deletions(-)
 create mode 100644 design.txt

diff --git a/design.txt b/design.txt
new file mode 100644
index 000000000..e88b131d6
--- /dev/null
+++ b/design.txt
@@ -0,0 +1,786 @@
+
+a(sex, age)
+age_limit(sex)
+
+step 1:
+
+a[age > age_limit]
+a[age + clength < age_limit]
+b = a * (age > age_limit)
+
+step 2:
+
+a[x.age > age_limit]
+# this is also possible ("x.age > age_limit" return an Expr, expr is evaluated
+# during the binop (axes ref replace by real axe)
+b = a * (x.age > age_limit)
+
+==============
+in general:
+1) match axes by Axis object => No axis.id because we need to be able to share
+   the same axis in several collections/arrays.
+   => this is slightly annoying for Group.__repr__ which uses axis.id
+   => we cannot have twice the same axis object in a collection
+      (we can have the same name twice though)
+2) match axes by name if any, by position otherwise
+3) match axes by position
+"""
+# TODO
+# * axes with no name should display as (or even have their name assigned to?)
+#   their position. Assigning does not work because after aggregating axis 0,
+#   we get the first axis named "1" which is a no-go.
+#   it would be much easier to have a .id attribute/property on axis with
+#   either the name or position in it, but this requires that axes know about
+#   their AxisCollection. id might not be defined when axis is not attached
+#   to a Collection
+
+# * add check there is no duplicate label in axes!
+
+# * for NDGroups, we have two options: cross product or intersection.
+#   Technically, this is easy, we just need to store a boolean and in getitem
+#   act accordingly (use ix_ or not), but what is the best API for users?
+#   a different class or a flag? In fact, the same question applies to
+#   positional vs label (in total, we got 4 different possibilities).
+
+# ? how do you combine a cross-product group with an intersection group?
+#   a[cpgroup, igroup]
+#   -> no problem if they are on different dimensions: the igroup
+#      dimension(s) are collapsed into one, pgroup dimension(s) stay.
+#      The index need to be constructed carefully, but it can be done. See
+#      np_indexing.py
+#   -> if they are on the same dimensions, we have two options:
+#      * apply one then the other (left to right)
+#      * fail <-- I think this is safer at least to implement. One after the
+#                 other can still be achieved by a[pgroup][igroup]
+
+# API for ND groups (my example is mixing label with positional):
+
+# union (bands): x.axis1[5:10] | x.axis2.i[3:4]
+# intersection/cross/default: x.axis1[5:10] & x.axis2.i[3:4]
+# points: x.axis1[5:10] ^ x.axis2.i[1:6]
+# ----> this prevents symetric difference. this is little used but...
+# ----> Points(x.axis[5:10], x.axis2.i[1:6])
+
+# this is very nice and would have orderedset-like semantics
+
+# it does not seem to conflict with the axis methods (even though that might be
+# confusing):
+
+# x.axis1 | x.axis2 would have a very different meaning than
+# x.axis1[:] | x.axis2[:]
+
+# Note that cross sections is the default and it is useless to introduce
+# another API **except to give a name**, so the & syntax is useless unless
+# we allow naming groups after the fact
+
+# => NDGroup((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
+# => Group((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
+# => (x.axis1[5:10] & x.axis2.i[2.5]).named('exports')
+
+# generalizing "named" and suppressing .group seems like a good idea!
+# => x.axis1.group([5, 7, 10], name='brussels')
+# => x.axis1[5, 7, 10].named('brussels')
+
+# http://xarray.pydata.org/en/stable/indexing.html#pointwise-indexing
+# http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.lookup.html#pandas.DataFrame.lookup
+
+# I think I would go for
+# ARRAY.points[dim0_labels, ..., dimX_labels]
+# and
+# ARRAY.ipoints[dim0_indices, ..., dimX_indices]
+# so that we can have a symmetrical API for get and set.
+
+# I wonder if, for axes subscripting, I could not allow tuples as sequences,
+# which would make it a bit nicer:
+# x.axis1[5, 7, 10].named('brussels')
+# instead of
+# x.axis1[[5, 7, 10]].named('brussels')
+# since axes are always 1D, this is not a direct problem. However the
+# question is whether this would lead to an inconsistent API/confuse users
+# because they would still have to write the brackets when no axis is present
+# a[[5, 7, 9]]
+# a[x.axis1[5, 7, 9]]
+# in practice, this syntax is little used anyway
+
+# options
+
+# 1) multiple range in same [] create multiple groups
+# =====================================================
+
+#    G.age[5, 7, 9] == G.age[5], G.age[7], G.age[9]
+#    G.age[:9, 10:14, 15:25] == G.age[:9], G.age[10:14], G.age[15:25]
+#    G[2:7, 'M', ['P01', 'P05']] == G[2:7], G['M'], G['P01', 'PO5']
+#    a[G[2:7, 'M', ['P01', 'P05']]] == a[2:7, 'M', ['P01', 'P05']]
+#    a[G[2:7, 'M', ['P01', 'P05']]] == a[2:7, 'M', ['P01', 'P05']]
+#    a[G[5, 7, 9]] == a[5, 7, 9] => key has several values for axis: age
+#    a[G[[5, 7, 9]]] == a[[5, 7, 9]]
+#    a[G.union[5, 7, 9]] == a[[5, 7, 9]]
+#    a[G.union[5, 7:10, 12]] == a[[5, 7, 8, 9, 10, 12]]
+
+#    a[G.age[2:7, 5:10], 'M', ['P01', 'P05']]]
+#    == a[2:7, 5:10, 'M', ['P01', 'P05']]
+#    OR rather
+#    == a[(G[2:7], G[5:10]), 'M', ['P01', 'P05']]
+#    == a[2:7, 'M', ['P01', 'P05']], a[5:10, 'M', ['P01', 'P05']]
+#    OR?
+#    == larray
+#       age                         2:7                         5:10
+#           a[2:7, 'M', ['P01', 'P05']] a[5:10, 'M', ['P01', 'P05']]
+#    OR?
+#    == larray with 4 dim (age_group, age, sex, lipro)
+#       this would currently only work if the slices have the same size,
+#       but with pandas/MI, this could work even when the slices are different
+
+#    a[G[2:7, 5:10, 'M', 'F']]  <---- should this be supported? (I think so
+#                                     for first step (split in individual
+#                                     groups) but fail in a[]
+#      == a[G[2:7], G[5:10], G['M'], G['F']]
+#      == a[2:7, 5:10, 'M', 'F']
+#      == a[2:7, 'M'], a[2:7, 'F'], a[5:10, 'M'], a[5:10, 'F']
+#
+#    or return an larray?
+
+#               2:7         5:10
+#     M a[2:7, 'M'] a[5:10, 'M']
+#     F a[2:7, 'F'] a[5:10, 'F']
+
+#    a[G[2:7, 5:10], G['M', 'F']]]
+#    == a[(G[2:7], G[5:10]), (G['M'], G['F'])]
+#    == [(a[2:7], a[5:10]), (a['M'], a['F'])]
+
+#    a[G[2:7, 5:10] & G['M', 'F']]]
+#    == a[G[2:7] & G['M'], G[5:10] & G['M'], G[2:7] & G['F'], G[5:10] & G['F']]
+#    OR
+#    == a[G[2:7] & G['M'], G[2:7] & G['F'], G[5:10] & G['M'], G[5:10] & G['F']]
+
+#    a[(G[2:7], 'M'), (G[2:7], 'F'), (G[5:10], 'M'), (G[5:10], 'F')] = \
+#     [            1,             2,              3,              4]
+
+#    a[G[2:7, 'M'], G[2:7, 'F'], G[5:10, 'M'], G[5:10, 'F']] = \
+#     [          1,           2,            3,            4]
+
+#    ==
+
+#    a[(G[2: 7], G['M']), (G[2: 7], G['F']),
+       (G[5:10], G['M']), (G[5:10], G['F'])] = \
+#     [                1,                 2,
+#                      3,                 4]
+
+#    ==
+
+#    a[[(G[2: 7], G['M']), (G[2: 7], G['F']),
+        (G[5:10], G['M']), (G[5:10], G['F'])]] = \
+#     [                1,                 2,
+#                      3,                 4]
+
+#    ==
+
+#    a[[(G[2: 7], G['M']), (G[2: 7], G['F']),
+        (G[5:10], G['M']), (G[5:10], G['F'])]] = \
+#     [                1,                 2,
+#                      3,                 4]
+
+indexing: le dernier niveau (inner-most) => &,
+les autres niveaux créent un larray de larrays
+
+#    a[[(G[2: 7], G['M']), (G[2: 7], G['F']),
+        (G[5:10], G['M']), (G[5:10], G['F'])]]
+     == LArray([a[2:7 & 'M'], a[2:7 & 'F'], a[5:10 & 'M'], a[5:10 & 'F']])
+
+# mais si scalaires au lieu de slices, on pourrait s'attendre à un larray au
+lieu de larray de larrays
+  a[(G[2], G['M']), (G[2], G['F']), (G[5], G['M']), (G[5], G['F'])]
+  == LArray([a[2, 'M'], a[2, 'F'], a[5, 'M'], a[5, 'F']])
+  mais si on veut ça, il suffit de faire:
+
+  a[G[[2, 5]], G[['M', 'F']]]
+
+reste à savoir si on veut que G splitte les tuples de scalaires:
+
+  a[G[2, 5:10], G['M', 'F']]
+  == a[G[(2, 5:10)], G[('M', 'F'])]
+  == a[G[(2, 5:10)], G[('M', 'F'])]
+
+  == a[G[[2, 5]], G[['M', 'F']]] (== a[[2, 5], ['M', 'F']])
+  OU
+  == a[(G[2], G[5]), (G['M'], G['F'])] (== [[a[2], a[5]], [a['M'], a['F']])
+  ce qui revient à dire que tuple split et pas list
+
+ou alors on utilise une méthode spécifique pour split (split ou groups ou
+multi):
+
+G.split[2, 5] == G[2], G[5]
+G.clength.split[2, 5:10, 20] == G.clength[2], G.clength[5:10], G.clength[5]
+G.clength.split[2, 5] == G.clength[2], G.clength[5]
+
+
+#    a[[(G[2: 7], G['M']), (G[2: 7], G['F']),
+        (G[5:10], G['M']), (G[5:10], G['F'])]] =
+
+
+#    a[2:7, 'M'] = 1
+#    a[2:7, 'F'] = 2
+#    a[5:10, 'M'] = 3
+#    a[5:10, 'F'] = 4
+
+#    a[2:7, 5:10, 'M', 'F'] = [1, 2, 3, 4]
+
+# multi assignment use case
+
+#    a[:] = {(G[2:7], 'M'): 1,
+#            (G[2:7], 'F'): 2,
+#            (G[5:10], 'M'): 3,
+#            (G[5:10], 'F'): 4}
+
+#    a.update({(G[2:7], 'M'): 1,
+#              (G[2:7], 'F'): 2,
+#              (G[5:10], 'M'): 3,
+#              (G[5:10], 'F'): 4})
+
+#    a.update({(G.age[2:7], 'M'): 1,
+#              (G.age[2:7], 'F'): 2,
+#              (G.age[5:10], 'M'): 3,
+#              (G.age[5:10], 'F'): 4})
+
+#    a[:] = [(G[2:7], 'M'), 1,
+#            (G[2:7], 'F'), 2,
+#            (G[5:10], 'M'), 3,
+#            (G[5:10], 'F'), 4]
+
+#    a[:] = {G[2:7, 'M']: 1,
+#            G[2:7, 'F']: 2,
+#            G[5:10, 'M']: 3,
+#            G[5:10, 'F']: 4}
+
+#    a.update({G[2:7, 'M']: 1,
+#              G[2:7, 'F']: 2,
+#              G[5:10, 'M']: 3,
+#              G[5:10, 'F']: 4})
+
+# >>>> the goals are to avoid repeating the axes names if ambiguous and the
+# array name but have the values as close to the labels as possible (assign by
+# position does not scale)
+
+# same problem for LArray contructor BTW
+# m = LArray([[1, 2],
+#             [3, 4]], axes=[Axis('age', R[2:7]), Axis('sex', 'M,F')])
+#
+# minr_replica = LArray([[0.20, 0.57], [0.46, 0.65]],
+#                       [Axis('sex', ['men', 'women']),
+#                        Axis('stat', ['benef_tot', 'prop_carr'])])
+#
+# minr_replica = [('men', 'benef_tot'), 0.20,
+#                 ('women', 'benef_tot'), 0.57,
+#                 ('men', 'prop_carr'), 0.46,
+#                 ('women', 'prop_carr'), 0.65],
+#                 ('sex', 'stat')
+#
+# benef_tot = [('men', 0.20), ('women', 0.57)]
+# prop_carr = [('men', 0.46), ('women', 0.65)]
+# minr_replica = ('benef_tot', benef_tot), ('prop_carr', prop_carr)
+
+# hierarchical ordered "dict" (compact & readable but hard to write because of
+#                              punctuation overload)
+# minr_replica = [('benef_tot', [('men', 0.20), ('women', 0.57)])
+#                 ('prop_carr', [('men', 0.46), ('women', 0.65)])]
+
+# 3.6+ (nice but only string labels)
+# minr_replica = od(benef_tot=od(men=0.20, women=0.57),
+#                   prop_carr=od(men=0.46, women=0.65))
+
+
+# benef_tot = [('men', 0.20), ('women', 0.57)]
+# prop_carr = [('men', 0.46), ('women', 0.65)]
+# minr_replica = ('benef_tot', benef_tot), ('prop_carr', prop_carr)
+#
+# minr_replica = ('benef_tot', benef_tot), ('prop_carr', prop_carr)
+
+#                  men   women
+# minr_replica= la([[0.20, 0.57], # benef_tot
+#                   [0.46, 0.65]], # prop_carr
+#                  [Axis('sex', 'men,women'),
+#                   Axis('stat', 'benef_tot,prop_carr')])
+
+# minr_replica= la(['stat', 'sex'], ['men', 'women'],
+#                  'benef_tot',     [ 0.20,    0.57],
+#                  'prop_carr',     [ 0.46,    0.65])
+
+# minr_replica = fromlists(['stat \ sex', 'men', 'women'],
+#                          ['benef_tot',   0.20,    0.57],
+#                          ['prop_carr',   0.46,    0.65])
+
+# minr_replica = fromlists([['stat', 'sex'], 'men', 'women'],
+#                          ['benef_tot',      0.20,    0.57],
+#                          ['prop_carr',      0.46,    0.65])
+
+# minr_replica = fromtuples([(     'stat',   'sex', 'value')
+#                            ('benef_tot',   'men',    0.20),
+#                            ('benef_tot', 'women',    0.57),
+#                            ('prop_carr',   'men',    0.46),
+#                            ('prop_carr', 'women',    0.65)])
+
+# benef_tot = fromlists(['sex', 'men', 'women'],
+#                       ['',     0.20,    0.57])
+
+# benef_tot = fromtuples([(  'sex', 'value')
+#                         (  'men',    0.20),
+#                         ('women',    0.57)])
+
+# benef_tot = fromlists(['sex', 'men', 'women'],
+#                       [None,   0.20,    0.57])
+
+# benef_tot = fromlists(['sex', 'men', 'women'],
+#                       [        0.20,    0.57])
+
+# benef_tot = fromtuples([('men', 0.20), ('women', 0.57)], header=False)
+
+# discourage this because we do not know order of ticks of sex
+# for zeros, full, ones, etc. it's fine (and encouraged) to reuse axes !
+# benef_tot = LArray([0.20, 0.57], [sex])
+
+# in xarray uses:
+
+# foo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space'])
+
+# foo = xr.DataArray(data, [('x', ['a', 'b']),
+#                           ('y', [-2, 0, 2])])
+
+# m = {G[2:7, 'M']: 1, G[2:7, 'F']: 2, G[5:10, 'M']: 3, G[5:10, 'F']: 4}
+# breaks if combination of axes
+# a.set(x.age[m])
+
+2) multiple range in same [] means "and"
+=========================================
+   => set op if same axis, ND group otherwise
+
+   G.age[5, 7, 9] == G.age[5] & G.age[7] & G.age[9] => BREAKS !
+   => must use G.age[[5, 7, 9]]
+
+   G.age[:20, 10:30] == G.age[:20] & G.age[10:30] == G.age[20:30]
+   G[2:7, 'M', ['P01', 'P05']] == G[2:7] & G['M'] & G['P01', 'PO5']
+
+3) multiple range in same [] means "or"
+========================================
+   => set op if same axis, ND group otherwise
+
+   G.age[5, 7, 9] == G.age[5] | G.age[7] | G.age[9]
+   G.age[:20, 10:30] == G.age[:20] | G.age[10:30] == G.age[10:30]
+   G[2:7, 'M', ['P01', 'P05']] == G[2:7] | G['M'] | G['P01', 'PO5']
+   the ND variant is a bit silly (it is so rarely needed)
+
+4) multiple range in same [] creates multiple groups except when there are
+   only scalars
+===========================================================================
+   => set op if same axis, ND group otherwise
+
+   G.age[5, 7, 11] == G.age[[5, 7, 9]]
+   G.age[5, 7:9, 11] == G.age[5], G.age[7:9], G.age[11]
+   G.age[:20, 10:30] == G.age[:20], G.age[10:30]
+   G.age[5, 10, 15:20, 25:30] == G.age[5], G.age[10], G.age[15:20], G.age[25:30]
+   G.age[5, 10, :20, 10:30] == G.age[:20], G.age[10:30]
+   G[2:7, 'M', ['P01', 'P05']] == G[2:7], G['M'], G['P01', 'PO5']
+
+5) multiple range in same [] means "or" for same axis / "and" for other axis
+=============================================================================
+   => set op if same axis, ND group otherwise
+
+   G.age[5, 7, 11] == G.age[5] | G.age[7] | G.age[9]
+   G.age[5, 7:9, 11] == G.age[5] | G.age[7:9] | G.age[11]
+   G.age[:20, 10:30] == G.age[:20] | G.age[10:30] == G.age[:30]
+   G[5, 7:9, 'M', ['P01', 'P05']]
+   == (G.age[5] | G.age[7:9]) & G.sex['M'] & G.lipro[['P01', 'PO5']]
+
+6) some other combination: doing different stuff whether same axis or not,
+   or whether slice or scalar
+===========================================================================
+
+
+# use cases
+
+# 1) simple get/set
+
+a[2:7, 'M', ['P01', 'P02']]
+
+# 2) boolean selection
+
+a[(x.age < 10) | (x.clength > 5)]
+
+# 3) simple with ambiguous values
+
+a[G.age[2:7], G.clength[5, 7, 9], 'M', ['P01', 'P02']]
+
+# 4) point-selection
+
+a[G.age[2:4] ^ G.clength[5, 7, 9], 'M', ['P01', 'P02']]
+a[G[2, 9, 3] ^ G['M', 'F', 'M'], ['P01', 'P02']]
+
+# 4b) lookup (this is a form of point-selection), wh potentially repeated values
+person_age = [5, 1, 2, 1, 6, 5]
+person_gender = ['M', 'F', 'F', 'M', 'M', 'F']
+person_workstate = [1, 3, 1, 2, 1, 3]
+income = mean_income[person_age, person_gender]  # <-- no ! does cross product
+income = mean_income[G[person_age] ^ G[person_gender]]
+income = mean_income[G.points[person_age, person_gender]] # <-- disallow having
+                                                          # an axis named
+                                                          # "points"
+income = mean_income.points[person_age, person_gender]
+# if ambiguous
+income = mean_income.points[G.age[person_age], person_gender]
+
+# 4c) lookup with larger than axis keys
+
+# 4d) lookup with boolean keys
+
+TODO, especially versus set ops on group
+
+income = mean_income[G[person_age] ^ ~G[person_gender]]
+
+# this would fail because & does set-op, ie will most likely return "False, True"
+income = extra_income[G[person_gender] & (G[workstate] == 1)] # <-- fails
+# one potential solution might be to introduce yet another concept: G/LG
+# could be renamed to (or presented explicitly as) LabelSet. In that case, it
+# would make it obvious (for me ;-)) that using that for the "lookup" usecase
+# does not fly.
+
+# now, how would we name the "other concept" in here? LabelGroup? LabelKey?
+income = extra_income[LK[person_gender] & (LK[workstate] == 1)]
+
+# Q: maybe I don't need an extra concept anyway, just use 1D larray instead?
+# A: We do need it, because the values, even if given as larray can be
+#    ambiguous (valid on several axes)
+
+# Q: maybe we could introduce a different array class "LookupArray" whicb does
+#    .points by default.
+# A: yes, that's an option but would not solve the "set" problem.
+
+# => I NEED a way to set the axis on an LKey. maybe x.abc[LK] should not
+# return an LSet? but an LKey with an axis.
+
+
+# Q: maybe I could solve the boolop/set problem depending on what is inside the
+#    LGroup (v1):
+# 1) scalars, slices, list: set op
+# 2) larray: defer op to it (=> element-wise bool op)
+# A: set op on list of bools or scalar bools does not make much sense
+
+# Q: maybe I could solve the boolop/set problem depending on what is inside the
+#    LGroup (v2):
+# 1) non bool stuff (scalars, slices, list, larray, ...): set op
+# 2) bool stuff (scalar, list of bools, larray of bools: bool op
+# A:
+
+
+# 5) import-export, a single group on several dimensions
+dom = (ARRV[nutsbe] & ARRA[nutsbe]).named('dom')
+berow = (ARRV[nutsbe] & ARRA[nutsrow]).named('berow')
+rowbe = (ARRV[nutsrow] & ARRA[nutsbe]).named('rowbe')
+transit = (ARRV[nutsrow] & ARRA[nutsrow]).named('transit')
+# we could define act, like this (but that should not be required, as the
+# coupling is looser if we can do it manually):
+act = Axis('act', (dom, berow, rowbe, transit))
+act2 = (dom, berow, rowbe, transit)
+AGGTON = stack([TON2.sum(nutsbe, nutsbe), TON2.sum(nutsbe, nutsrow),
+                TON2.sum(nutsrow, nutsbe), TON2.sum(nutsrow, nutsrow)],
+               ["dom", "berow", "rowbe", "transit"], "act")
+AGGTON = TON2.sum((dom, berow, rowbe, transit)).rename('ARRV,ARRA', 'act')
+AGGTON = TON2.sum(act=(dom, berow, rowbe, transit))
+AGGTON = TON2.sum(act=act)
+AGGTON = TON2.sum(act) # <--- this is obviously the shortest but I am unsure
+# its a good idea. On one hand, I dislike the fact that in act2 above, we
+# cannot name the resulting axis, but on the other hand, summing on an axis
+# not present in the original array, and which is created rather than
+# aggregated seems weird at best. It's only after inspecting said axis that we
+# can tell that it contains groups on axes which
+# are present.
+# in the 1D case this is usually not a problem since it is usually fine to have
+# maybe doing:
+act3 = stack([('dom', dom), ('berow', berow), ('rowbe', rowbe),
+              ('transit', transit)], 'act')
+AGGTON = TON2.sum(act3) # <--- I think this makes a lot of sense, and could
+# potentially be useful with arrays > 1D: you could e.g. create 2 dimensions
+# out of 1: assuming an age axis
+act3 = fromlist(['sub \ 40+',    '-39',    '40+'],
+                [          0, G[  : 9], G[40:49]],
+                [          1, G[10:19], G[50:59]],
+                [          2, G[20:29], G[60:69]],
+                [          3, G[30:39], G[70:79]])
+
+act3 = table(['sub', '40+'], [  '-39',    '40+'],
+             [    0,         G[  : 9], G[40:49]],
+             [    1,         G[10:19], G[50:59]],
+             [    2,         G[20:29], G[60:69]],
+             [    3,         G[30:39], G[70:79]])
+
+act3 = table(['sub', '40+',   '-39',    '40+'],
+             [    0,        G[  : 9], G[40:49]],
+             [    1,        G[10:19], G[50:59]],
+             [    2,        G[20:29], G[60:69]],
+             [    3,        G[30:39], G[70:79]])
+.sum(act3)
+
+# 6) multi slices, aggregate (one group per slice)
+
+# groups = (x.clength[1:15], x.clength[16:25], x.clength[26:30],
+#           x.clength[31:35], x.clength[36:40], x.clength[41:50])
+# agg = arr.sum(groups)
+
+# groups = G.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
+# agg = arr.sum(groups)
+
+# agg = arr.sum(G[1:15, 16:25, 26:30, 31:35, 36:40, 41:50])
+
+# 7) multi slices, assign one value per slice
+
+# multip_mat_min = zeros([clength, year])
+# multip_mat_min[x.clength[1:15], x.year[first_year_p:2024]] = 7 / 7
+# multip_mat_min[x.clength[16:25], x.year[first_year_p:2024]] = 20 / 20
+# multip_mat_min[x.clength[26:30], x.year[first_year_p:2024]] = 27 / 27
+# multip_mat_min[x.clength[31:35], x.year[first_year_p:2024]] = 32 / 32
+# multip_mat_min[x.clength[36:40], x.year[first_year_p:2024]] = 37 / 37
+# multip_mat_min[x.clength[41:50], x.year[first_year_p:2024]] = 42 / 42
+# multip_mat_min[x.clength[1:15], x.year[2025:2029]] = 8 / 7
+# multip_mat_min[x.clength[16:25], x.year[2025:2029]] = 21 / 20
+# multip_mat_min[x.clength[26:30], x.year[2025:2029]] = 28 / 27
+# multip_mat_min[x.clength[31:35], x.year[2025:2029]] = 33 / 32
+# multip_mat_min[x.clength[36:40], x.year[2025:2029]] = 38 / 37
+# multip_mat_min[x.clength[41:50], x.year[2025:2029]] = 43 / 42
+# multip_mat_min[x.clength[1:15], x.year[2030:]] = 9 / 7
+# multip_mat_min[x.clength[16:25], x.year[2030:]] = 22 / 20
+# multip_mat_min[x.clength[26:30], x.year[2030:]] = 29 / 27
+# multip_mat_min[x.clength[31:35], x.year[2030:]] = 34 / 32
+# multip_mat_min[x.clength[36:40], x.year[2030:]] = 39 / 37
+# multip_mat_min[x.clength[41:50], x.year[2030:]] = 44 / 42
+#
+# # already possible
+# m = zeros(clength)
+# m[x.clength[1:15]] = 7
+# m[x.clength[16:25]] = 20
+# m[x.clength[26:30]] = 27
+# m[x.clength[31:35]] = 32
+# m[x.clength[36:40]] = 37
+# m[x.clength[41:50]] = 42
+# multip_mat_min = zeros([clength, year])
+# multip_mat_min[x.year[:2024]] = m / m
+# multip_mat_min[x.year[2025:2029]] = (m + 1) / m
+# multip_mat_min[x.year[2030:]] = (m + 2) / m
+
+# >>> very nice for this case but it does not scale very well with number of
+#     values to set. On the other hand, splitting it in case it does not fit
+#     on a line is not TOO horrible (just a bit horrible ;-))
+# m = zeros(clength)
+# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = \
+#            [   7,    20,    27,    32,    37,     42]
+# multip_mat_min = zeros([clength, year])
+# multip_mat_min[x.year[:2024,   2025:2029,       2030:]] = \
+#                      [m / m, (m + 1) / m, (m + 2) / m]
+
+# m = zeros(clength)
+# m[:] = {
+#     G[1:15]: 7, G[16:25]: 20, G[26:30]: 27, G[31:35]: 32, G[36:40]:37,
+#     G[41:50]: 42
+# }
+# VERDICT: FAIL ! (see below)
+# but m.set(map) could work
+
+# this seems powerful but there might be ambiguities? (do we want to expand
+# the groups or treat them as normal "scalars")
+# m = zeros(clength)
+# m[:] = fromlists(['clength', G[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]],
+#                  ['',             7,    20,    27,    32,    37,    42])
+
+# VERDICT: FAIL ! the problem is that it breaks two basic assumptions
+# * that m[:] will be entirely set
+# * that value will be broadcast to the result of array[key]
+
+# also think about G (for group) or L (for label):
+
+# a[G[5:10]]
+# a[G[5, 7, 9]]
+
+# a[G[5:10].named('brussels')]
+# a[G[5, 7, 9].named('brussels')]
+
+# this is ugly
+# a[G[5, 7, 9].axed('age')]
+# a[G[5, 7, 9].x('age')]
+# a[G[5, 7, 9].on('age')]
+# a[G[5, 7, 9].with(axis='age')]
+
+# nice for the simple cases, but cannot target anonymous axes G[0] or axes with
+# strange names G['strange axis']. would both try to find labels on axes, not
+# the axes themselves.
+
+# a[G.age[5, 7, 9]]
+# a[G.geo[5, 7, 9].named('brussels')]
+
+# a[x.age[G[5, 7, 9]]]
+# a[x.age[G[5, 7, 9].named('brussels')]]
+
+# a[G.get('strange axis')[5, 7, 9].named('Brussels')]
+
+# a[x.age[5, 7, 9]]
+
+# positional groups *without axis* (G.i, P[], or I[]) does not make much sense,
+# because it will matches all axes, but might be useful as an intermediate
+# construct:
+
+# g = G.i[2, 5, 7]
+# g2 = X.age[g]
+
+# positional groups *with axis* can be useful as a shorter alternative (but
+# not worth it IMO, unless the whole API is more consistent for users):
+
+# g = P.age[2, 5, 7]
+# instead of
+# g = X.age.i[2, 5, 7]
+
+# we might want to also consider multi-dimensional groups:
+# using K (for key) or I (for indexer) or G (without axis obviously):
+
+# g = G[2:7, 'M', ['P01', 'P05']]
+
+# it seems nifty, but that changes the semantic of a group (we would need
+# multiple names??? OR )
+
+# but it might be better to allow multiple slices from the same dimension in
+# the same group:
+
+# g = G.age[:9, 10:14, 15:25]
+# in that case, the above group would be written like:
+# g = G[2:7] & G['M'] & G['P01', 'P05']
+
+# ND group with single name vs ND group with name per dim vs multi-group.
+
+# g = G[2:7, 'M', ['P01', 'P05']].named('abc') would be a single ND group
+
+# vs
+
+# g = G[2:7].named('child'), G['M'], G['P01', 'P05'].named('plop')
+# g = G[2:7].named('child') & G['M'] & G['P01', 'P05'].named('plop')
+
+# behavior is the same when filtering but when aggregating the multi-name
+# version would produce "child & M & plop" while
+
+# vs
+
+# g = G[2:7, 9:13].named('abc') would be a single ND group
+
+
+# in that cases, having NDG to create N dimensional groups might be a good idea
+
+# g = NDG[2:7, 'M', ['P01', 'P05']]
+
+# we also need the best possible syntax to handle, "arbitrary" resampling
+
+# pure_min_w1_comp_agg = zeros(result_axes)
+# pure_min_w1_comp_agg[x.LBMosesXLS[1]] = pure_min_w1_comp.sum(x.clength[1:15])
+# pure_min_w1_comp_agg[x.LBMosesXLS[2]] = pure_min_w1_comp.sum(x.clength[16:25])
+# pure_min_w1_comp_agg[x.LBMosesXLS[3]] = pure_min_w1_comp.sum(x.clength[26:30])
+# pure_min_w1_comp_agg[x.LBMosesXLS[4]] = pure_min_w1_comp.sum(x.clength[31:35])
+# pure_min_w1_comp_agg[x.LBMosesXLS[5]] = pure_min_w1_comp.sum(x.clength[36:40])
+# pure_min_w1_comp_agg[x.LBMosesXLS[6]] = pure_min_w1_comp.sum(x.clength[41:50])
+#
+# clength_groups = (x.clength[1:15], x.clength[16:25], x.clength[26:30],
+#                   x.clength[31:35], x.clength[36:40], x.clength[41:50])
+# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups).rename(
+#     x.clength, x.LBMosesXLS)
+
+# clength_groups = (L[1:15], L[16:25], L[26:30],
+#                   L[31:35], L[36:40], L[41:50])
+# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups).rename(
+#     x.clength, x.LBMosesXLS)
+#
+# clength_groups = x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
+# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups)
+#
+# clength_groups = G[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
+# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups) \
+#                                         .replace(x.clength, LBMosesXLS)
+
+# XXX: what if I want to sum on all the slices (as if it was a single slice)
+# clength_groups = G[1:15] | G[16:25] | G[26:30] | G[31:35] | G[36:40] | G[41:50]
+# OR
+# G.clength.union[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
+#
+# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups) \
+
+# I would also like to have a nice syntax for assigning (multiple) values to
+# multiple slices (example courtesy of MOSES)
+
+# clength = Axis('clength', range(1, 51))
+# year = Axis('year', range(2010, 2050))
+# result_axes = AxisCollection([
+#     clength,
+#     year
+# ])
+#
+# multip_mat_min = zeros([clength, year])
+# multip_mat_min[x.clength[1:15], x.year[first_year_p:2024]] = 7 / 7
+# multip_mat_min[x.clength[16:25], x.year[first_year_p:2024]] = 20 / 20
+# multip_mat_min[x.clength[26:30], x.year[first_year_p:2024]] = 27 / 27
+# multip_mat_min[x.clength[31:35], x.year[first_year_p:2024]] = 32 / 32
+# multip_mat_min[x.clength[36:40], x.year[first_year_p:2024]] = 37 / 37
+# multip_mat_min[x.clength[41:50], x.year[first_year_p:2024]] = 42 / 42
+# multip_mat_min[x.clength[1:15], x.year[2025:2029]] = 8 / 7
+# multip_mat_min[x.clength[16:25], x.year[2025:2029]] = 21 / 20
+# multip_mat_min[x.clength[26:30], x.year[2025:2029]] = 28 / 27
+# multip_mat_min[x.clength[31:35], x.year[2025:2029]] = 33 / 32
+# multip_mat_min[x.clength[36:40], x.year[2025:2029]] = 38 / 37
+# multip_mat_min[x.clength[41:50], x.year[2025:2029]] = 43 / 42
+# multip_mat_min[x.clength[1:15], x.year[2030:]] = 9 / 7
+# multip_mat_min[x.clength[16:25], x.year[2030:]] = 22 / 20
+# multip_mat_min[x.clength[26:30], x.year[2030:]] = 29 / 27
+# multip_mat_min[x.clength[31:35], x.year[2030:]] = 34 / 32
+# multip_mat_min[x.clength[36:40], x.year[2030:]] = 39 / 37
+# multip_mat_min[x.clength[41:50], x.year[2030:]] = 44 / 42
+#
+# # already possible
+# m = zeros(clength)
+# m[x.clength[1:15]] = 7
+# m[x.clength[16:25]] = 20
+# m[x.clength[26:30]] = 27
+# m[x.clength[31:35]] = 32
+# m[x.clength[36:40]] = 37
+# m[x.clength[41:50]] = 42
+# multip_mat_min = zeros([clength, year])
+# multip_mat_min[x.year[:2024]] = m / m
+# multip_mat_min[x.year[2025:2029]] = (m + 1) / m
+# multip_mat_min[x.year[2030:]] = (m + 2) / m
+
+# TODO: it would be nice to be able to say:
+# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = [7, 20, 27, 32, 37, 42]
+# but I am unsure it is possible/unambiguous
+
+# this kind of pattern is not supported by numpy
+# in numpy, you can assign multiple slices to the SAME value (not one value per
+# slice, using m[np._r[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = 7, but
+# this actually construct a single array of indices, and ultimately,
+# it is much slower than repeatedly doing m[slice()] = value
+# %timeit j = np.r_[tuple(slice(i, i+5) for i in range(0, 1000, 10))]; a[j] = 9
+# 1000 loops, best of 3: 307 µs per loop
+# %timeit for i in range(0, 1000, 10): a[i:i+5] = i
+# 10000 loops, best of 3: 45.9 µs per loop
+
+# it is technically possibly to achieve in numpy (both in a vectorized manner
+# and using explicit loop as above). The trick to vectorize this is to create
+# an array of indices (with the slices expanded) and an array of values with
+# the same size than the indices array (using np.repeat)
+
+# http://stackoverflow.com/questions/38923763/assign-multiple-values-to-
+# multiple-slices-of-a-numpy-array-at-once
+
+# but the question is whether that syntax is unambiguous or not
+# (and if not, whether or not we can come up with a syntax that is both nice
+#  and not ambiguous)
+
+# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = \
+#            [7, 20, 27, 32, 37, 42]
+# multip_mat_min[x.year[:2024, 2025:2029, 2030:]] = [m / m, (m + 1) / m,
+#                                                   (m + 2) / m]
+
+# for the multi-value case to work I would probably have to make
+# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]]
+# return multiple arrays (as a tuple of arrays or an array of arrays)
+# with pandas/MI support, we could just return an array with
+# a (second) clength axis
+
diff --git a/larray/core.py b/larray/core.py
index 2028ac917..2057f43ee 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -20,262 +20,7 @@
 
 """
 Matrix class
-
-a(sex, age)
-age_limit(sex)
-
-step 1:
-
-a[age > age_limit]
-a[age + clength < age_limit]
-b = a * (age > age_limit)
-
-step 2:
-
-a[x.age > age_limit]
-# this is also possible ("x.age > age_limit" return an Expr, expr is evaluated
-# during the binop (axes ref replace by real axe)
-b = a * (x.age > age_limit)
-
-==============
-in general:
-1) match axes by Axis object => No axis.id because we need to be able to share
-   the same axis in several collections/arrays.
-   => this is slightly annoying for Group.__repr__ which uses axis.id
-   => we cannot have twice the same axis object in a collection
-      (we can have the same name twice though)
-2) match axes by name if any, by position otherwise
-3) match axes by position
 """
-# TODO
-# * axes with no name should display as (or even have their name assigned to?)
-#   their position. Assigning does not work because after aggregating axis 0,
-#   we get the first axis named "1" which is a no-go.
-#   it would be much easier to have a .id attribute/property on axis with
-#   either the name or position in it, but this requires that axes know about
-#   their AxisCollection. id might not be defined when axis is not attached
-#   to a Collection
-
-# * add check there is no duplicate label in axes!
-
-# * for NDGroups, we have two options: cross product or intersection.
-#   Technically, this is easy, we just need to store a boolean and in getitem
-#   act accordingly (use ix_ or not), but what is the best API for users?
-#   a different class or a flag? In fact, the same question applies to
-#   positional vs label (in total, we got 4 different possibilities).
-
-# ? how do you combine a cross-product group with an intersection group?
-#   a[cpgroup, igroup]
-#   -> no problem if they are on different dimensions: the igroup
-#      dimension(s) are collapsed into one, pgroup dimension(s) stay.
-#      The index need to be constructed carefully, but it can be done. See
-#      np_indexing.py
-#   -> if they are on the same dimensions, we have two options:
-#      * apply one then the other (left to right)
-#      * fail <-- I think this is safer at least to implement. One after the
-#                 other can still be achieved by a[pgroup][igroup]
-
-# API for ND groups (my example is mixing label with positional):
-
-# union (bands): x.axis1[5:10] | x.axis2.i[3:4]
-# intersection/cross/default: x.axis1[5:10] & x.axis2.i[3:4]
-# points: x.axis1[5:10] ^ x.axis2.i[1:6]
-# ----> this prevents symetric difference. this is little used but...
-# ----> Points(x.axis[5:10], x.axis2.i[1:6])
-
-# this is very nice and would have orderedset-like semantics
-
-# it does not seem to conflict with the axis methods (even though that might be
-# confusing):
-
-# x.axis1 | x.axis2 would have a very different meaning than
-# x.axis1[:] | x.axis2[:]
-
-# Note that cross sections is the default and it is useless to introduce
-# another API **except to give a name**, so the & syntax is useless unless
-# we allow naming groups after the fact
-
-# => NDGroup((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
-# => Group((x.axis1[5:10], x.axis2.i[2.5]), 'exports')
-# => (x.axis1[5:10] & x.axis2.i[2.5]).named('exports')
-
-# generalizing "named" and suppressing .group seems like a good idea!
-# => x.axis1.group([5, 7, 10], name='brussels')
-# => x.axis1[5, 7, 10].named('brussels')
-
-# http://xarray.pydata.org/en/stable/indexing.html#pointwise-indexing
-# http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.lookup.html#pandas.DataFrame.lookup
-
-# I think I would go for
-# ARRAY.points[dim0_labels, ..., dimX_labels]
-# and
-# ARRAY.ipoints[dim0_indices, ..., dimX_indices]
-# so that we can have a symmetrical API for get and set.
-
-# I wonder if, for axes subscripting, I could not allow tuples as sequences,
-# which would make it a bit nicer:
-# x.axis1[5, 7, 10].named('brussels')
-# instead of
-# x.axis1[[5, 7, 10]].named('brussels')
-# since axes are always 1D, this is not a direct problem. However the
-# question is whether this would lead to an inconsistent API/confuse users
-# because they would still have to write the brackets when no axis is present
-# a[[5, 7, 9]]
-# a[x.axis1[5, 7, 9]]
-# in practice, this syntax is little used anyway
-
-# also think about G (for group) or L (for label):
-
-# a[G[5:10]]
-# a[G[5, 7, 9]]
-
-# a[G[5:10].named('brussels')]
-# a[G[5, 7, 9].named('brussels')]
-
-# this is ugly
-# a[G[5, 7, 9].axed('age')]
-# a[G[5, 7, 9].x('age')]
-
-# nice for the simple cases, but cannot target anonymous axes G[0] or axes with
-# strange names G['strange axis']. would both try to find labels on axes, not
-# the axes themselves.
-
-# a[G.age[5, 7, 9]]
-# a[G.geo[5, 7, 9].named('brussels')]
-
-# a[x.age[G[5, 7, 9]]]
-# a[x.age[G[5, 7, 9].named('brussels')]]
-
-# a[G.get('strange axis')[5, 7, 9].named('Brussels')]
-
-# a[x.age[5, 7, 9]]
-
-# positional groups *without axis* (G.i, P[], or I[]) does not make much sense,
-# because it will matches all axes, but might be useful as an intermediate
-# construct:
-
-# g = G.i[2, 5, 7]
-# g2 = X.age[g]
-
-# positional groups *with axis* can be useful as a shorter alternative (but
-# not worth it IMO, unless the whole API is more consistent for users):
-
-# g = P.age[2, 5, 7]
-# instead of
-# g = X.age.i[2, 5, 7]
-
-# we might want to also consider multi-dimensional groups:
-# using K (for key) or I (for indexer) or G (without axis obviously):
-
-# g = G[2:7, 'M', ['P01', 'P05']]
-
-# but it might be better to allow multiple slices from the same dimension in
-# the same group:
-
-# g = G.age[:9, 10:14, 15:25]
-
-# it seems nifty, but that changes the semantic of a group (we would need
-# multiple names???)
-
-# in that cases, having NDG to create N dimensional groups might be a good idea
-
-# g = NDG[2:7, 'M', ['P01', 'P05']]
-
-# we also need the best possible syntax to handle, "arbitrary" resampling
-
-# pure_min_w1_comp_agg = zeros(result_axes)
-# pure_min_w1_comp_agg[x.LBMosesXLS[1]] = pure_min_w1_comp.sum(x.clength[1:15])
-# pure_min_w1_comp_agg[x.LBMosesXLS[2]] = pure_min_w1_comp.sum(x.clength[16:25])
-# pure_min_w1_comp_agg[x.LBMosesXLS[3]] = pure_min_w1_comp.sum(x.clength[26:30])
-# pure_min_w1_comp_agg[x.LBMosesXLS[4]] = pure_min_w1_comp.sum(x.clength[31:35])
-# pure_min_w1_comp_agg[x.LBMosesXLS[5]] = pure_min_w1_comp.sum(x.clength[36:40])
-# pure_min_w1_comp_agg[x.LBMosesXLS[6]] = pure_min_w1_comp.sum(x.clength[41:50])
-#
-# clength_groups = (x.clength[1:15], x.clength[16:25], x.clength[26:30],
-#                   x.clength[31:35], x.clength[36:40], x.clength[41:50])
-# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups).rename(
-#     x.clength, x.LBMosesXLS)
-#
-# clength_groups = x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
-# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups)
-#
-# clength_groups = G[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
-# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups) \
-#                                         .replace(x.clength, LBMosesXLS)
-# XXX: what if I want to sum on all the slices (as if it was a single slice)
-# clength_groups = G[1:15] | G[16:25] | G[26:30] | G[31:35] | G[36:40] | G[41:50]
-# OR
-# G.clength.union[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]
-#
-# pure_min_w1_comp_agg2 = pure_min_w1_comp.sum(clength_groups) \
-
-# I would also like to have a nice syntax for assigning (multiple) values to
-# multiple slices (example courtesy of MOSES)
-
-# clength = Axis('clength', range(1, 51))
-# year = Axis('year', range(2010, 2050))
-# result_axes = AxisCollection([
-#     clength,
-#     year
-# ])
-#
-# multip_mat_min = zeros([clength, year])
-# multip_mat_min[x.clength[1:15], x.year[first_year_p:2024]] = 7 / 7
-# multip_mat_min[x.clength[16:25], x.year[first_year_p:2024]] = 20 / 20
-# multip_mat_min[x.clength[26:30], x.year[first_year_p:2024]] = 27 / 27
-# multip_mat_min[x.clength[31:35], x.year[first_year_p:2024]] = 32 / 32
-# multip_mat_min[x.clength[36:40], x.year[first_year_p:2024]] = 37 / 37
-# multip_mat_min[x.clength[41:50], x.year[first_year_p:2024]] = 42 / 42
-# multip_mat_min[x.clength[1:15], x.year[2025:2029]] = 8 / 7
-# multip_mat_min[x.clength[16:25], x.year[2025:2029]] = 21 / 20
-# multip_mat_min[x.clength[26:30], x.year[2025:2029]] = 28 / 27
-# multip_mat_min[x.clength[31:35], x.year[2025:2029]] = 33 / 32
-# multip_mat_min[x.clength[36:40], x.year[2025:2029]] = 38 / 37
-# multip_mat_min[x.clength[41:50], x.year[2025:2029]] = 43 / 42
-# multip_mat_min[x.clength[1:15], x.year[2030:]] = 9 / 7
-# multip_mat_min[x.clength[16:25], x.year[2030:]] = 22 / 20
-# multip_mat_min[x.clength[26:30], x.year[2030:]] = 29 / 27
-# multip_mat_min[x.clength[31:35], x.year[2030:]] = 34 / 32
-# multip_mat_min[x.clength[36:40], x.year[2030:]] = 39 / 37
-# multip_mat_min[x.clength[41:50], x.year[2030:]] = 44 / 42
-#
-# # already possible
-# m = zeros(clength)
-# m[x.clength[1:15]] = 7
-# m[x.clength[16:25]] = 20
-# m[x.clength[26:30]] = 27
-# m[x.clength[31:35]] = 32
-# m[x.clength[36:40]] = 37
-# m[x.clength[41:50]] = 42
-# multip_mat_min = zeros([clength, year])
-# multip_mat_min[x.year[:2024]] = m / m
-# multip_mat_min[x.year[2025:2029]] = (m + 1) / m
-# multip_mat_min[x.year[2030:]] = (m + 2) / m
-
-# TODO: it would be nice to be able to say:
-# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = [7, 20, 27, 32, 37, 42]
-# but I am unsure it is possible/unambiguous
-
-# this kind of pattern is not supported by numpy
-# in numpy, you can assign multiple slices to the SAME value (not one value per
-# slice, using m[np._r[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = 7, but
-# this actually construct a single array of indices, and ultimately,
-# it is much slower than repeatedly doing m[slice()] = value
-# %timeit j = np.r_[tuple(slice(i, i+5) for i in range(0, 1000, 10))]; a[j] = 9
-# 1000 loops, best of 3: 307 µs per loop
-# %timeit for i in range(0, 1000, 10): a[i:i+5] = i
-# 10000 loops, best of 3: 45.9 µs per loop
-
-# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]] = \
-#            [7, 20, 27, 32, 37, 42]
-# multip_mat_min[x.year[:2024, 2025:2029, 2030:]] = [m / m, (m + 1) / m,
-#                                                   (m + 2) / m]
-
-# for the multi-value case to work I would probably have to make
-# m[x.clength[1:15, 16:25, 26:30, 31:35, 36:40, 41:50]]
-# return multiple arrays (as a tuple of arrays or an array of arrays)
-# with pandas/MI support, we could just return an array with
-# a (second) clength axis
 
 # * when trying to aggregate on an non existing Axis (using x.blabla),
 #   the error message is awful

From 0f7f78418efbf8fcf5631a5f412d4c660a872e56 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 11:11:18 +0200
Subject: [PATCH 121/899] implemented Axis + AxisCollection

---
 larray/core.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 2057f43ee..8286f194d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -767,6 +767,12 @@ def _binop(opname):
         fullname = '__%s__' % opname
 
         def opmethod(self, other):
+            # give a chance to AxisCollection.__rXXX__ ops to trigger
+            if isinstance(other, AxisCollection):
+                # in this case it is indeed return NotImplemented, not raise
+                # NotImplementedError!
+                return NotImplemented
+
             self_array = labels_array(self)
             if isinstance(other, Axis):
                 other = labels_array(other)
@@ -1221,6 +1227,11 @@ def union(self, *args, **kwargs):
     __or__ = union
     __add__ = union
 
+    def __radd__(self, other):
+        result = AxisCollection(other)
+        result.extend(self)
+        return result
+
     def __and__(self, other):
         """
         returns the intersection of this collection and other

From 0725a3fbda316ccd8a550b871849b582adf925dc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 11:15:15 +0200
Subject: [PATCH 122/899] implemented memory_used property which displays
 nbytes in human-readable form

---
 larray/core.py  | 24 ++++++++++++++++++++++--
 larray/utils.py | 25 +++++++++++++++++++++++++
 2 files changed, 47 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8286f194d..961ba6cf5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -116,7 +116,7 @@
 except ImportError:
     np_nanprod = None
 
-from larray.utils import (table2str, unique, csv_open, unzip, long,
+from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
                           decode, basestring, bytes, izip, rproduct, ReprString,
                           duplicates, array_lookup2, skip_comment_cells,
                           strip_rows, PY3)
@@ -4582,7 +4582,7 @@ def nbytes(self):
 
         Returns
         -------
-        integer
+        int
             returns the number of bytes in a LArray.
 
         Example
@@ -4595,6 +4595,26 @@ def nbytes(self):
         """
         return self.data.nbytes
 
+    @property
+    def memory_used(self):
+        """
+        returns the memory consumed by the array in human readable form.
+
+        Returns
+        -------
+        str
+            returns the number of bytes in a LArray.
+
+        Example
+        -------
+        >>> xsex = Axis('sex', ['H', 'F'])
+        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
+        >>> a = ndrange([xsex, xtype], dtype=float)
+        >>> a.memory_used
+        '48 bytes'
+        """
+        return size2str(self.data.nbytes)
+
     @property
     def dtype(self):
         """
diff --git a/larray/utils.py b/larray/utils.py
index 3ab76b657..d5bb69a0d 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -3,6 +3,7 @@
 """
 from __future__ import absolute_import, division, print_function
 
+import math
 import itertools
 import sys
 import operator
@@ -23,6 +24,7 @@
     bytes = str
     unicode = unicode
     long = long
+    # FIXME: we should rather use PY2 = True (for py4 compat)
     PY3 = False
 else:
     basestring = str
@@ -327,3 +329,26 @@ def isblank(s):
     for line in lines:
         rev_line = list(itertools.dropwhile(isblank, reversed(line)))
         yield list(reversed(rev_line))
+
+
+def size2str(value):
+    """
+    >>> size2str(0)
+    '0 bytes'
+    >>> size2str(100)
+    '100 bytes'
+    >>> size2str(1023)
+    '1023 bytes'
+    >>> size2str(1024)
+    '1.00 Kb'
+    >>> size2str(2000)
+    '1.95 Kb'
+    >>> size2str(10000000)
+    '9.54 Mb'
+    >>> size2str(1.27 * 1024 ** 3)
+    '1.27 Gb'
+    """
+    units = ["bytes", "Kb", "Mb", "Gb", "Tb", "Pb"]
+    scale = int(math.log(value, 1024)) if value else 0
+    fmt = "%.2f %s" if scale else "%d %s"
+    return fmt % (value / 1024.0 ** scale, units[scale])

From 2a8f24195b92a2c58b90aa6b94df90fa2bbe72c1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 13:02:23 +0200
Subject: [PATCH 123/899] changed LArray.__str__ maxwidth to 200

---
 larray/core.py          |  3 ++-
 larray/tests/test_la.py | 22 ++++++++--------------
 2 files changed, 10 insertions(+), 15 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 961ba6cf5..88ac375e4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2921,7 +2921,8 @@ def __str__(self):
             return 'LArray([])'
         else:
             return table2str(list(self.as_table(maxlines=200, edgeitems=5)),
-                             'nan', True, keepcols=self.ndim - 1)
+                             'nan', fullinfo=True, maxwidth=200,
+                             keepcols=self.ndim - 1)
     __repr__ = __str__
 
     def __iter__(self):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index da1ce5485..bf3dce41b 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -811,20 +811,14 @@ def test_str(self):
 115 | A93 |         F | 153075.0 | 153076.0 | 153077.0
 115 | A21 |         H | 153090.0 | 153091.0 | 153092.0
 115 | A21 |         F | 153105.0 | 153106.0 | 153107.0""")
-        # four dimensions (too many rows and columns)
-        self.assertEqual(str(self.larray), """\
-age | geo | sex\lipro |      P01 |      P02 | ... |      P14 |      P15
-  0 | A11 |         H |      0.0 |      1.0 | ... |     13.0 |     14.0
-  0 | A11 |         F |     15.0 |     16.0 | ... |     28.0 |     29.0
-  0 | A12 |         H |     30.0 |     31.0 | ... |     43.0 |     44.0
-  0 | A12 |         F |     45.0 |     46.0 | ... |     58.0 |     59.0
-  0 | A13 |         H |     60.0 |     61.0 | ... |     73.0 |     74.0
-... | ... |       ... |      ... |      ... | ... |      ... |      ...
-115 | A92 |         F | 153045.0 | 153046.0 | ... | 153058.0 | 153059.0
-115 | A93 |         H | 153060.0 | 153061.0 | ... | 153073.0 | 153074.0
-115 | A93 |         F | 153075.0 | 153076.0 | ... | 153088.0 | 153089.0
-115 | A21 |         H | 153090.0 | 153091.0 | ... | 153103.0 | 153104.0
-115 | A21 |         F | 153105.0 | 153106.0 | ... | 153118.0 | 153119.0""")
+        # too many columns
+        self.assertEqual(str(self.larray['P01', 'A11', 'H']), """\
+age |   0 |      1 |      2 |      3 |      4 |      5 |      6 |      7 | ... \
+|      107 |      108 |      109 |      110 |      111 |      112 |      113 |\
+      114 |      115
+    | 0.0 | 1320.0 | 2640.0 | 3960.0 | 5280.0 | 6600.0 | 7920.0 | 9240.0 | ... \
+| 141240.0 | 142560.0 | 143880.0 | 145200.0 | 146520.0 | 147840.0 \
+| 149160.0 | 150480.0 | 151800.0""")
 
     def test_getitem(self):
         raw = self.array

From 7ea681d450f1b0ff371de328ac22131299400517 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:00:34 +0200
Subject: [PATCH 124/899] made Session keep the order in which arrays were
 added to it:

* this works now: b, a = s['b', 'a']
* iterating on the session use that order, instead of alphabetical order
* s.names is still sorted alphabetically (s.keys() is not)
---
 larray/session.py            | 102 +++++++++++++++--------------------
 larray/tests/test_session.py |  66 +++++++++++++++--------
 2 files changed, 89 insertions(+), 79 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 8c9271b26..bc81ca7e9 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -2,6 +2,7 @@
 
 import os
 import sys
+from collections import OrderedDict
 
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
@@ -176,28 +177,27 @@ def close(self):
 }
 
 
+# XXX: inherit from OrderedDict or LArray?
 class Session(object):
     def __init__(self, *args, **kwargs):
-        # self._objects = {}
-        object.__setattr__(self, '_objects', {})
+        object.__setattr__(self, '_objects', OrderedDict())
 
         if len(args) == 1:
             a0 = args[0]
-            if isinstance(a0, dict):
-                self.add(**a0)
-            elif isinstance(a0, str):
+            if isinstance(a0, str):
                 # assume a0 is a filename
                 self.load(a0)
             else:
+                items = a0.items() if isinstance(a0, dict) else a0
                 # assume we have an iterable of tuples
-                for k, v in a0:
+                for k, v in items:
                     self[k] = v
         else:
             self.add(*args, **kwargs)
 
-    # XXX: behave like a dict and return keys instead or return unsorted?
+    # XXX: behave like a dict and return keys instead?
     def __iter__(self):
-        return iter(self._objects[k] for k in self.names)
+        return iter(self.values())
 
     def add(self, *args, **kwargs):
         for arg in args:
@@ -207,16 +207,16 @@ def add(self, *args, **kwargs):
 
     def __getitem__(self, key):
         if isinstance(key, int):
-            return self._objects[self.names[key]]
+            return self._objects[self.keys()[key]]
         elif isinstance(key, LArray):
             assert np.issubdtype(key.dtype, np.bool_)
             assert key.ndim == 1
             # only keep True values
             truenames = key[key].axes[0].labels
-            return Session({name: self[name] for name in truenames})
+            return Session([(name, self[name]) for name in truenames])
         elif isinstance(key, (tuple, list)):
             assert all(isinstance(k, str) for k in key)
-            return Session({k: self[k] for k in key})
+            return Session([(k, self[k]) for k in key])
         else:
             return self._objects[key]
 
@@ -328,8 +328,6 @@ def filter(self, pattern=None, kind=None):
         else:
             return Session(items)
 
-    # XXX: would having an option/another function for returning this unsorted
-    # be any useful?
     @property
     def names(self):
         """Returns the list of names of the objects in the session
@@ -346,68 +344,56 @@ def copy(self):
     def keys(self):
         return self._objects.keys()
 
-    # XXX: sorted?
     def values(self):
         return self._objects.values()
 
-    # XXX: sorted?
     def items(self):
         return self._objects.items()
 
     def __repr__(self):
-        return 'Session({})'.format(', '.join(self.names))
+        return 'Session({})'.format(', '.join(self.keys()))
 
     def __len__(self):
         return len(self._objects)
 
+    # binary operations are dispatched element-wise to all arrays
+    # (we consider Session as an array-like)
+    def _binop(opname):
+        opfullname = '__%s__' % opname
+
+        def opmethod(self, other):
+            self_keys = set(self.keys())
+            all_keys = list(self.keys()) + [n for n in other.keys() if
+                                            n not in self_keys]
+            res = []
+            for name in all_keys:
+                self_array = self.get(name, np.nan)
+                other_array = other.get(name, np.nan)
+                res.append((name, getattr(self_array, opfullname)(other_array)))
+            return Session(res)
+        opmethod.__name__ = opfullname
+        return opmethod
+
+    __add__ = _binop('add')
+    __sub__ = _binop('sub')
+    __mul__ = _binop('mul')
+    __truediv__ = _binop('truediv')
+
+    # XXX: use _binop (ie elementwise comparison instead of aggregating
+    #      directly?)
     def __eq__(self, other):
-        self_names = set(self.names)
-        all_names = self.names + [n for n in other.names if n not in self_names]
-        res = [larray_equal(self.get(name), other.get(name))
-               for name in all_names]
-        return LArray(res, [Axis('name', all_names)])
+        self_keys = set(self.keys())
+        all_keys = list(self.keys()) + [n for n in other.keys()
+                                        if n not in self_keys]
+        res = [larray_equal(self.get(key), other.get(key)) for key in all_keys]
+        return LArray(res, [Axis('name', all_keys)])
 
     def __ne__(self, other):
         return ~(self == other)
 
-    # we could implement two(?) very different behavior:
-    # set-like behavior: combination of two Session, if same name,
-    # check that it is the same. a Session is more ordered-dict-like than
-    # set-like, so this might not make a lot of sense. an "update" method
-    # might make more sense. However most set-like operations do make sense.
-
-    # intersection: check common are the same or take left?
-    # union: check common are the same or take left?
-    # difference
-
-    # elementwise add: consider Session as an array-like and try to add the
-    # each array individually
-    def __add__(self, other):
-        self_names = set(self.names)
-        all_names = self.names + [n for n in other.names if n not in self_names]
-        return Session({name: self.get(name, np.nan) + other.get(name, np.nan)
-                       for name in all_names})
-
-    def __sub__(self, other):
-        self_names = set(self.names)
-        all_names = self.names + [n for n in other.names if n not in self_names]
-        return Session({name: self.get(name, np.nan) - other.get(name, np.nan)
-                       for name in all_names})
-
-    def __mul__(self, other):
-        self_names = set(self.names)
-        all_names = self.names + [n for n in other.names if n not in self_names]
-        return Session({name: self.get(name, np.nan) * other.get(name, np.nan)
-                       for name in all_names})
-
-    def __truediv__(self, other):
-        self_names = set(self.names)
-        all_names = self.names + [n for n in other.names if n not in self_names]
-        return Session({name: self.get(name, np.nan) / other.get(name, np.nan)
-                       for name in all_names})
-
 
 def local_arrays(depth=0):
     # noinspection PyProtectedMember
     d = sys._getframe(depth + 1).f_locals
-    return Session((k, v) for k, v in d.items() if isinstance(v, LArray))
+    return Session((k, d[k]) for k in sorted(d.keys())
+                   if isinstance(d[k], LArray))
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index ae94eb2ee..a5e12109c 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -4,19 +4,53 @@
 import unittest
 
 import numpy as np
-from larray import Session, Axis, LArray, ndrange, isnan, view, local_arrays
+from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.tests.test_la import assert_array_nan_equal
 
 
+def equal(o1, o2):
+    if isinstance(o1, LArray) or isinstance(o2, LArray):
+        return larray_equal(o1, o2)
+    elif isinstance(o1, Axis) or isinstance(o2, Axis):
+        return o1.equals(o2)
+    else:
+        return o1 == o2
+
+
 class TestSession(TestCase):
     def setUp(self):
         self.a = Axis('a', [])
         self.b = Axis('b', [])
+        self.c = 'c'
+        self.d = {}
         self.e = ndrange((2, 3)).rename(0, 'a0').rename(1, 'a1')
         self.f = ndrange((3, 2)).rename(0, 'a0').rename(1, 'a1')
         self.g = ndrange((2, 4)).rename(0, 'a0').rename(1, 'a1')
-        self.session = Session(self.a, self.b, c='c', d={},
-                               e=self.e, f=self.f, g=self.g)
+        self.session = Session([('b', self.b), ('a', self.a),
+                                ('c', self.c), ('d', self.d),
+                                ('e', self.e), ('f', self.f),
+                                ('g', self.g)])
+
+    def assertObjListEqual(self, got, expected):
+        self.assertEqual(len(got), len(expected))
+        for e1, e2 in zip(got, expected):
+            self.assertTrue(equal(e1, e2), "{} != {}".format(e1, e2))
+
+    def test_init(self):
+        s = Session(self.b, self.a, c=self.c, d=self.d,
+                    e=self.e, f=self.f, g=self.g)
+        self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g'])
+
+        s = Session('test_session.h5')
+        self.assertEqual(s.names, ['e', 'f', 'g'])
+
+        # this needs xlwings installed
+        # s = Session('test_session_ef.xlsx')
+        # self.assertEqual(s.names, ['e', 'f'])
+
+        # TODO: format autodetection does not work in this case
+        # s = Session('test_session_csv')
+        # self.assertEqual(s.names, ['e', 'f', 'g'])
 
     def test_getitem(self):
         s = self.session
@@ -28,8 +62,10 @@ def test_getitem(self):
     def test_getitem_list(self):
         s = self.session
         self.assertEqual(list(s[[]]), [])
+        self.assertEqual(list(s[['b', 'a']]), [self.b, self.a])
         self.assertEqual(list(s[['a', 'b']]), [self.a, self.b])
         self.assertEqual(list(s[['a', 'e', 'g']]), [self.a, self.e, self.g])
+        self.assertEqual(list(s[['g', 'a', 'e']]), [self.g, self.a, self.e])
 
     def test_getitem_larray(self):
         s1 = self.session.filter(kind=LArray)
@@ -64,20 +100,20 @@ def test_add(self):
         self.assertEqual(s.i, 'i')
 
     def test_iter(self):
-        self.assertEqual(list(self.session), [self.a, self.b, 'c', {},
-                                              self.e, self.f, self.g])
+        expected = [self.b, self.a, self.c, self.d, self.e, self.f, self.g]
+        self.assertObjListEqual(self.session, expected)
 
     def test_filter(self):
         s = self.session
         s.ax = 'ax'
-        self.assertEqual(list(s.filter()), [self.a, 'ax', self.b, 'c', {},
-                                            self.e, self.f, self.g])
+        self.assertObjListEqual(s.filter(), [self.b, self.a, 'c', {},
+                                             self.e, self.f, self.g, 'ax'])
         self.assertEqual(list(s.filter('a')), [self.a, 'ax'])
         self.assertEqual(list(s.filter('a', dict)), [])
         self.assertEqual(list(s.filter('a', str)), ['ax'])
         self.assertEqual(list(s.filter('a', Axis)), [self.a])
-        self.assertEqual(list(s.filter(kind=Axis)), [self.a, self.b])
-        self.assertEqual(list(s.filter(kind=LArray)), [self.e, self.f, self.g])
+        self.assertEqual(list(s.filter(kind=Axis)), [self.b, self.a])
+        self.assertObjListEqual(s.filter(kind=LArray), [self.e, self.f, self.g])
         self.assertEqual(list(s.filter(kind=dict)), [{}])
 
     def test_names(self):
@@ -176,18 +212,6 @@ def test_div(self):
         assert_array_nan_equal(res['f'], flat_f.reshape(3, 2))
         self.assertTrue(isnan(res['g']).all())
 
-    def test_init(self):
-        s = Session('test_session.h5')
-        self.assertEqual(s.names, ['e', 'f', 'g'])
-
-        # this needs xlwings installed
-        # s = Session('test_session_ef.xlsx')
-        # self.assertEqual(s.names, ['e', 'f'])
-
-        # TODO: format autodetection does not work in this case
-        # s = Session('test_session_csv')
-        # self.assertEqual(s.names, ['e', 'f', 'g'])
-
 if __name__ == "__main__":
     # import doctest
     # doctest.testmod(larray.core)

From 1f4dc1d04be9a42e88cf6d99afd83ef2b70caf22 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:01:11 +0200
Subject: [PATCH 125/899] added thoughts about Session

---
 design.txt | 75 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 75 insertions(+)

diff --git a/design.txt b/design.txt
index e88b131d6..0092c5ddf 100644
--- a/design.txt
+++ b/design.txt
@@ -784,3 +784,78 @@ act3 = table(['sub', '40+',   '-39',    '40+'],
 # with pandas/MI support, we could just return an array with
 # a (second) clength axis
 
+
+# ========================================
+# ================ SESSION ===============
+# ========================================
+
+# with my idea to dispatch aggregate operation to each element + make
+# __eq__ use _binop
+
+# (s1 == s2).all() would return a session with a list of bool scalars
+
+# which is probably not what people expect (+ don't know how to further
+# aggregate)
+
+# ideally s.sum() would first sum each array then sum those sums
+# and s.sum(x.age) would sum each array along age
+# and s.sum(x.arrays) would try to add arrays together (and fail in
+# some/most cases)
+# the problem is that one important use case is not covered:
+# aggregating along all dimensions of the arrays but NOT on x.arrays
+
+# Q: s.elements.sum() (or s.arrays.sum()) vs s.sum() solve this?
+# A1: s.arrays.sum() would dispatch to each array and return a new Session
+#     s.sum() would try to do s.arrays.sum().sum()
+#     seems doable...
+
+# A2: s.sum_by(x.arrays) (like Pandas default aggregate) would solve
+#     the issue even more nicely, but this is a bit more work (is it?) and
+#     can be safely added later.
+
+# Q: does s1.arrays (op) s2.arrays works too?
+# A: dispatch op to each array present in either s1 or s2
+#    so yes, but as we see below, no point
+
+# Q: what happens when you do s1.arrays + s2 ?
+# A:
+
+# Q: what happens when you do s1 + s2 ?
+# A: same than s1.arrays + s2.arrays
+#    if we view s1 as a big array with an extra dimension, it would give
+#    that result (modulo union of names until we are Pandas based)
+
+# Q: does that solve the == use case acceptably?
+# A: to test that two session are equal, you'd have to write:
+#    (s1.arrays == s2.arrays).arrays.all().all()
+#    which is way too convoluted for users.
+
+#    (s1.arrays == s2.arrays).all() would work too though
+#    and even
+#    (s1 == s2).all()
+
+# Q: what if I want to know which arrays are equal and which are not?
+# A: (s1 == s2).all_by(x.arrays)
+
+# boolean ops
+# ===========
+
+# Q: we could implement two(?) very different behavior:
+# set-like behavior: combination of two Session, if same name,
+# check that it is the same. a Session is more ordered-dict-like than
+# set-like, so this might not make a lot of sense. an "update" method
+# might make more sense. However most set-like operations do make sense.
+
+# intersection: check common are the same or take left?
+# union: check common are the same or take left?
+# difference
+
+# A: I think it's best that __bool_ops__ are element-wise, like other __ops__
+#    but we can/should define methods for the set-like operations
+#    .isdisjoint(other)
+#    .issubset(other)
+#    .issuperset(other)
+#    .union(*others)
+#    .intersection(*others)
+#    .difference(*others)
+#    .symmetric_difference(other)
\ No newline at end of file

From f349d77641beb29c1716152943031e6af3cc6bf9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:05:30 +0200
Subject: [PATCH 126/899] added LArray.compact and Session.compact() to detect
 and remove "useless" axes

ie axes where the array is constant over the whole axis
---
 larray/core.py    |  6 ++++++
 larray/session.py | 12 +++++++++++-
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 88ac375e4..4c33505b3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4849,6 +4849,12 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         axis_obj = self.axes[axis]
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
+    def compact(self):
+        res = self
+        for axis in res.axes:
+            if (res == res[axis.i[0]]).all():
+                res = res[axis.i[0]]
+        return res
 
 def parse(s):
     """
diff --git a/larray/session.py b/larray/session.py
index bc81ca7e9..9b305891d 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -7,7 +7,8 @@
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_equal
+from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, \
+    larray_equal, get_axes
 from .excel import open_excel
 
 
@@ -391,6 +392,15 @@ def __eq__(self, other):
     def __ne__(self, other):
         return ~(self == other)
 
+    def compact(self, display=False):
+        new_items = []
+        for k, v in self._objects.items():
+            compacted = v.compact()
+            if compacted is not v and display:
+                print(k, "was constant over", get_axes(v) - get_axes(compacted))
+            new_items.append((k, compacted))
+        return Session(new_items)
+
 
 def local_arrays(depth=0):
     # noinspection PyProtectedMember

From f5e9afc98ab5f1d83702f3e391f60f1681bfb67d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:11:00 +0200
Subject: [PATCH 127/899] added additional, less error-prone syntax for stack:

>>> nat = Axis('nat', ['BE', 'FO'])
>>> arr1 = ones(nat)
>>> arr1
nat |  BE |  FO
    | 1.0 | 1.0
>>> arr2 = zeros(nat)
>>> arr2
nat |  BE |  FO
    | 0.0 | 0.0
>>> stack([('H', arr1), ('F', arr2)], 'sex')
nat\sex |   H |   F
     BE | 1.0 | 0.0
     FO | 1.0 | 0.0

in addition to (the still supported but discouraged):

>>> sex = Axis('sex', ['H', 'F'])
>>> stack((arr1, arr2), sex)
nat\sex |   H |   F
     BE | 1.0 | 0.0
     FO | 1.0 | 0.0
---
 larray/core.py | 90 ++++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 72 insertions(+), 18 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4c33505b3..345bd6ed3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5858,20 +5858,33 @@ def eye(rows, columns=None, k=0, dtype=None):
     return LArray(data, axes)
 
 
+# XXX: we could change the syntax to use *args
+#      => less punctuation but forces kwarg
+#      => potentially longer
+#      => unsure for now. The most important point is that it should be
+#         consistent with other functions.
+# stack(a1, a2, axis=Axis('sex', 'H,F'))
+# stack(('H', a1), ('F', a2), axis='sex')
+# stack(a1, a2, axis='sex')
 def stack(arrays, axis=None):
     """
-    stack([numbirths * HMASC,
-           numbirths * (1 - HMASC)], Axis('sex', 'H,F'))
-    potential alternate syntaxes
-    stack(['H', numbirths * HMASC,
-           'F', numbirths * (1 - HMASC)], 'sex')
-    stack(('H', numbirths * HMASC),
-          ('F', numbirths * (1 - HMASC)), name='sex')
+    combine several arrays along an axis
 
-    Example
+    Parameters
+    ----------
+    arrays : tuple or list of values.
+        Arrays to stack. values can be scalars, arrays or (label, value) pairs.
+    axis : str or Axis, optional
+        Axis to create. If None, defaults to a range() axis.
+
+    Returns
     -------
+    LArray
+        a single array combining arrays.
+
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['H', 'F'])
     >>> arr1 = ones(nat)
     >>> arr1
     nat |  BE |  FO
@@ -5880,35 +5893,76 @@ def stack(arrays, axis=None):
     >>> arr2
     nat |  BE |  FO
         | 0.0 | 0.0
+    >>> stack([('H', arr1), ('F', arr2)], 'sex')
+    nat\\sex |   H |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+    It also works when reusing an existing axis (though the first syntax
+    should be preferred because it is more obvious which label correspond to
+    what array):
+
+    >>> sex = Axis('sex', ['H', 'F'])
     >>> stack((arr1, arr2), sex)
     nat\\sex |   H |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
-    It also works for arrays with different axes:
+    or for arrays with different axes:
 
     >>> stack((arr1, 0), sex)
     nat\\sex |   H |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
-    or without axis:
+    or even with no axis at all:
 
     >>> stack((arr1, arr2))
     nat\\{1}* |   0 |   1
           BE | 1.0 | 0.0
           FO | 1.0 | 0.0
 
+    >>> # TODO: move this to unit test
+    >>> # not using the same length as nat, otherwise numpy gets confused :(
+    >>> nd = LArray([arr1, zeros(Axis('type', [1, 2, 3]))], sex)
+    >>> stack(nd, sex)
+    nat | type\sex |   H |   F
+     BE |        1 | 1.0 | 0.0
+     BE |        2 | 1.0 | 0.0
+     BE |        3 | 1.0 | 0.0
+     FO |        1 | 1.0 | 0.0
+     FO |        2 | 1.0 | 0.0
+     FO |        3 | 1.0 | 0.0
     """
-    if axis is None:
-        axis = Axis(None, len(arrays))
+    # LArray arrays could be interesting
+    if isinstance(arrays, LArray):
+        if axis is None:
+            axis = -1
+        axis = arrays.axes[axis]
+        values = [arrays[k] for k in axis]
     else:
-        assert len(axis) == len(arrays)
-    result_axes = AxisCollection.union(*[get_axes(v) for v in arrays])
+        assert isinstance(arrays, (tuple, list))
+        if all(isinstance(a, tuple) for a in arrays):
+            assert all(len(a) == 2 for a in arrays)
+            keys = [k for k, v in arrays]
+            assert all(np.isscalar(k) for k in keys)
+            if isinstance(axis, Axis):
+                assert np.array_equal(axis.labels, keys)
+            else:
+                # None or str
+                axis = Axis(axis, keys)
+            values = [v for k, v in arrays]
+        else:
+            values = arrays
+            if axis is None or isinstance(axis, basestring):
+                axis = Axis(axis, len(arrays))
+            else:
+                assert len(axis) == len(arrays)
+    result_axes = AxisCollection.union(*[get_axes(v) for v in values])
     result_axes.append(axis)
-    result = empty(result_axes, common_type(arrays))
-    for i, array in enumerate(arrays):
-        result[axis.i[i]] = array
+    result = empty(result_axes, common_type(values))
+    for k, v in zip(axis, values):
+        result[k] = v
     return result
 
 

From 6af7a044406a25889cc0fab46bfec781b0dd2c24 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:23:26 +0200
Subject: [PATCH 128/899] made it possible to create arrays much more succintly
 in some usual cases

Previously, when one created an array from scratch, you had to provide either
Axis object(s) (or another array). The following examples use "zeros" but this change
affects all array creation functions (zeros, ones, ndrange, full, empty):

>>> nat = Axis('nat', ['BE', 'FO'])
>>> sex = Axis('sex', ['M', 'F'])
>>> zeros([nat, sex])
nat\sex |   M |   F
     BE | 0.0 | 0.0
     FO | 0.0 | 0.0

Now, when you have axe names and axes labels but do not have/want to reuse an existing axis, you can
use this syntax:

>>> zeros([('nat', ['BE', 'FO']),
...        ('sex', ['M', 'F'])])
nat\sex |   M |   F
     BE | 0.0 | 0.0
     FO | 0.0 | 0.0

If additionally all axe names and labels are strings (not integers or other types) you can use:

>>> zeros('nat=BE,FO;sex=M,F')
nat\sex |   M |   F
     BE | 0.0 | 0.0
     FO | 0.0 | 0.0
---
 larray/core.py | 97 ++++++++++++++++++++++++++++++++++++--------------
 1 file changed, 71 insertions(+), 26 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 345bd6ed3..e82d64652 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1069,10 +1069,26 @@ def __init__(self, axes=None):
         """
         if axes is None:
             axes = []
-        elif isinstance(axes, (int, long, str, Axis)):
+        elif isinstance(axes, (int, long, Axis)):
             axes = [axes]
-        axes = [axis if isinstance(axis, Axis) else Axis(None, axis)
-                for axis in axes]
+        elif isinstance(axes, str):
+            axes = [axis.strip() for axis in axes.split(';')]
+
+        def make_axis(obj):
+            if isinstance(obj, Axis):
+                return obj
+            elif isinstance(obj, tuple):
+                assert len(obj) == 2
+                name, labels = obj
+                return Axis(name, labels)
+            else:
+                if isinstance(obj, str) and '=' in obj:
+                    name, labels = [o.strip() for o in obj.split('=')]
+                    return Axis(name, labels)
+                else:
+                    return Axis(None, obj)
+
+        axes = [make_axis(axis) for axis in axes]
         assert all(isinstance(a, Axis) for a in axes)
         dupe_axes = list(duplicates(axes))
         if dupe_axes:
@@ -5156,11 +5172,20 @@ def zeros(axes, dtype=float, order='C'):
     -------
     LArray
 
-    Example
-    -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> zeros([xnat, xsex])
+    Examples
+    --------
+    >>> zeros([('nat', ['BE', 'FO']),
+    ...        ('sex', ['H', 'F'])])
+    nat\sex |   H |   F
+         BE | 0.0 | 0.0
+         FO | 0.0 | 0.0
+    >>> zeros('nat=BE,FO;sex=H,F')
+    nat\sex |   H |   F
+         BE | 0.0 | 0.0
+         FO | 0.0 | 0.0
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['H', 'F'])
+    >>> zeros([nat, sex])
     nat\sex |   H |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
@@ -5617,8 +5642,15 @@ def ndrange(axes, start=0, dtype=int):
 
     Parameters
     ----------
-    axes : int, tuple of int or tuple/list/AxisCollection of Axis
-        a collection of axes or a shape.
+    axes : single axis or tuple/list/AxisCollection of axes
+        the axes of the array to create.
+        Each axis can be given as either:
+        * Axis object: actual axis object to use.
+        * single int: length of axis. will create a wildcard axis of that
+                      length.
+        * str: coma separated list of labels, with optional leading '=' to
+               set the name of the axis. eg. "a,b,c" or "sex=F,M"
+        * (name, labels) pair: name and labels of axis
     start : number, optional
     dtype : dtype, optional
         The type of the output array.  Defaults to int.
@@ -5627,11 +5659,29 @@ def ndrange(axes, start=0, dtype=int):
     -------
     LArray
 
-    Example
-    -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> ndrange([xnat, xsex])
+    Examples
+    --------
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['H', 'F'])
+    >>> ndrange([nat, sex])
+    nat\\sex | H | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> ndrange([('nat', ['BE', 'FO']),
+    ...          ('sex', ['H', 'F'])])
+    nat\\sex | H | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> ndrange([('nat', 'BE,FO'),
+    ...          ('sex', 'H,F')])
+    nat\\sex | H | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> ndrange(['nat=BE,FO', 'sex=H,F'])
+    nat\\sex | H | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> ndrange('nat=BE,FO;sex=H,F')
     nat\\sex | H | F
          BE | 0 | 1
          FO | 2 | 3
@@ -5642,18 +5692,13 @@ def ndrange(axes, start=0, dtype=int):
     >>> ndrange(3, start=2)
     {0}* | 0 | 1 | 2
          | 2 | 3 | 4
-
-    potential alternate syntaxes:
-    ndrange((2, 3), names=('a', 'b'))
-    ndrange(2, 3, names=('a', 'b'))
-    ndrange([('a', 2), ('b', 3)])
-    ndrange(('a', 2), ('b', 3))
-    ndrange((2, 3)).rename([0, 1], ['a', 'b'])
-    ndrange((2, 3)).rename({0: 'a', 1: 'b'})
-    # current syntaxes
-    ndrange((2, 3)).rename(0, 'a').rename(1, 'b')
-    ndrange([Axis('a', 2), Axis('b', 3)])
+    >>> ndrange('a,b,c')
+    {0} | a | b | c
+        | 0 | 1 | 2
     """
+    # XXX: implement something like:
+    # >>> mat = ndrange([['BE', 'FO'], ['H', 'F']], axes=['nat', 'sex'])
+    # >>> mat = ndrange(['BE,FO', 'H,F'], axes=['nat', 'sex'])
     # XXX: try to come up with a syntax where start is before "end". For ndim
     #  > 1, I cannot think of anything nice.
     axes = AxisCollection(axes)

From e4563fa54923791084c7b7eeda518d5b25fe40e0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:26:37 +0200
Subject: [PATCH 129/899] added TODO/comments/fix typo

---
 larray/core.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index e82d64652..f0db02112 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2436,6 +2436,8 @@ def _guess_axis(self, axis_key):
         # TODO: instead of checking all axes, we should have a big mapping
         # (in AxisCollection or LArray):
         # label -> (axis, index)
+        # or possibly (for ambiguous labels)
+        # label -> {axis: index}
         # but for Pandas, this wouldn't work, we'd need label -> axis
         valid_axes = []
         for axis in self.axes:
@@ -2812,7 +2814,7 @@ def reshape(self, target_axes):
         #    4, 3, 2 -> 12, 2 is potentially ok (merging adjacent dimensions)
         #            -> 4, 6 is potentially ok (merging adjacent dimensions)
         #            -> 24 is potentially ok (merging adjacent dimensions)
-        #            -> 3, 8 WRONG (non adjacent dimentsions)
+        #            -> 3, 8 WRONG (non adjacent dimensions)
         #            -> 8, 3 WRONG
         #    4, 3, 2 -> 2, 2, 3, 2 is potentially ok (splitting dim)
         data = np.asarray(self).reshape([len(axis) for axis in target_axes])
@@ -4752,6 +4754,9 @@ def shift(self, axis, n=1):
         else:
             return self[:]
 
+    # TODO: add support for groups as axis (like aggregates)
+    # eg a.diff(x.year[2018:]) instead of
+    #    a[2018:].diff(x.year)
     def diff(self, axis=-1, d=1, n=1, label='upper'):
         """
         Calculate the n-th order discrete difference along a given axis.
@@ -4818,6 +4823,9 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
     # XXX: this is called pct_change in Pandas (but returns the same results,
     # not results * 100, which I find silly). Maybe change_rate would be
     # better (because growth is not always positive)?
+    # TODO: add support for groups as axis (like aggregates)
+    # eg a.growth_rate(x.year[2018:]) instead of
+    #    a[2018:].growth_rate(x.year)
     def growth_rate(self, axis=-1, d=1, label='upper'):
         """
         Calculate the growth along a given axis.

From 52a411126c695507a43c6c45d516be2e2cc75019 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:28:16 +0200
Subject: [PATCH 130/899] added LArray.with_axes(axes) to return a new LArray
 with the same data but different axes

---
 larray/core.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index f0db02112..24b543aec 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2059,6 +2059,14 @@ def __init__(self, data, axes=None):
         object.__setattr__(self, 'data', data)
         object.__setattr__(self, 'axes', axes)
 
+    def nonzero(self):
+        # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
+        #  can do a[a.nonzero()]
+        return self.data.nonzero()
+
+    def with_axes(self, axes):
+        return LArray(self.data, axes)
+
     def __getattr__(self, key):
         try:
             return self.__getitem__(key)

From ef21895074a5c46b036ed625e4be7ca71ce19697 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 15:32:00 +0200
Subject: [PATCH 131/899] added links to reference doc

---
 design.txt | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/design.txt b/design.txt
index 0092c5ddf..f7f46ac98 100644
--- a/design.txt
+++ b/design.txt
@@ -858,4 +858,10 @@ act3 = table(['sub', '40+',   '-39',    '40+'],
 #    .union(*others)
 #    .intersection(*others)
 #    .difference(*others)
-#    .symmetric_difference(other)
\ No newline at end of file
+#    .symmetric_difference(other)
+
+# references
+
+# https://docs.scipy.org/doc/numpy/reference/routines.set.html
+# https://docs.scipy.org/doc/numpy/reference/routines.logic.html#logical-operations
+# https://docs.python.org/3.7/library/stdtypes.html#set

From 547e0dd57dbe3dc351b6335261e0ebe5354841d9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 17:12:33 +0200
Subject: [PATCH 132/899] CLN: remove unused imports

---
 larray/tests/test_la.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index bf3dce41b..63c8e1ac7 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -10,8 +10,7 @@
 
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
-                    clip, exp, where, x, view, mean, var, std, isnan,
-                    round)
+                    clip, exp, where, x, mean, isnan, round)
 from larray.core import to_ticks, to_key, srange, df_aslarray
 
 

From 2c9a09303e54d36751e9a18f2aaa76b2c14da57a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 25 Oct 2016 17:16:10 +0200
Subject: [PATCH 133/899] CLN: simplify test using new ndrange syntax

---
 larray/tests/test_session.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index a5e12109c..bb983a886 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -4,6 +4,7 @@
 import unittest
 
 import numpy as np
+
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.tests.test_la import assert_array_nan_equal
 
@@ -23,9 +24,9 @@ def setUp(self):
         self.b = Axis('b', [])
         self.c = 'c'
         self.d = {}
-        self.e = ndrange((2, 3)).rename(0, 'a0').rename(1, 'a1')
-        self.f = ndrange((3, 2)).rename(0, 'a0').rename(1, 'a1')
-        self.g = ndrange((2, 4)).rename(0, 'a0').rename(1, 'a1')
+        self.e = ndrange([('a0', 2), ('a1', 3)])
+        self.f = ndrange([('a0', 3), ('a1', 2)])
+        self.g = ndrange([('a0', 2), ('a1', 4)])
         self.session = Session([('b', self.b), ('a', self.a),
                                 ('c', self.c), ('d', self.d),
                                 ('e', self.e), ('f', self.f),

From e5614064538a40436255fb18889fa66a49fe6704 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 08:51:12 +0200
Subject: [PATCH 134/899] hopefully fix travis tests

---
 .travis.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index 354453d56..4e67bf214 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -45,7 +45,8 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy pandas pytables pyqt matplotlib xlrd openpyxl xlsxwriter nose
+            numpy pandas pytables pyqt=4 matplotlib xlrd openpyxl xlsxwriter
+            nose
     - source activate travisci
 
 script:

From 0b88de8a4a45de52a19cb233e9644559dd82e0ca Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 09:44:41 +0200
Subject: [PATCH 135/899] better docstrings (mostly doctests) for many
 functions

---
 larray/core.py | 467 +++++++++++++++++++++++--------------------------
 1 file changed, 219 insertions(+), 248 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 24b543aec..5a8af0246 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1629,13 +1629,13 @@ def info(self):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> axes = AxisCollection([xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> axes = AxisCollection([nat, sex])
         >>> axes.info
         2 x 2
          nat [2]: 'BE' 'FO'
-         sex [2]: 'H' 'F'
+         sex [2]: 'M' 'F'
         """
         lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
                  for name, axis in zip(self.display_names, self._list)]
@@ -1657,17 +1657,17 @@ def all(values, axis=None):
 
     Example
     -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> a = ndrange([xnat, xsex]) >= 1
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([nat, sex]) >= 1
     >>> a
-    nat\\sex |     H |    F
+    nat\\sex |     M |    F
          BE | False | True
          FO |  True | True
     >>> all(a)
     False
-    >>> all(a, xnat)
-    sex |     H |    F
+    >>> all(a, nat)
+    sex |     M |    F
         | False | True
     """
     if isinstance(values, LArray):
@@ -1690,17 +1690,17 @@ def any(values, axis=None):
 
     Example
     -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> a = ndrange([xnat, xsex]) >= 3
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([nat, sex]) >= 3
     >>> a
-    nat\\sex |     H |     F
+    nat\\sex |     M |     F
          BE | False | False
          FO | False |  True
     >>> any(a)
     True
-    >>> any(a, xnat)
-    sex |     H |    F
+    >>> any(a, nat)
+    sex |     M |    F
         | False | True
     """
     if isinstance(values, LArray):
@@ -2222,30 +2222,30 @@ def sort_values(self, key):
 
         Example
         -------
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xnat = Axis('nat', ['EU', 'FO', 'BE'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
         >>> xtype = Axis('type', ['type1', 'type2'])
-        >>> a = LArray([[10, 2, 4], [3, 7, 1]], [xsex, xnat])
+        >>> a = LArray([[10, 2, 4], [3, 7, 1]], [sex, nat])
         >>> a
         sex\\nat | EU | FO | BE
-              H | 10 |  2 |  4
+              M | 10 |  2 |  4
               F |  3 |  7 |  1
         >>> a.sort_values('F')
         sex\\nat | BE | EU | FO
-              H |  4 | 10 |  2
+              M |  4 | 10 |  2
               F |  1 |  3 |  7
         >>> b = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
-        ...            [xsex, xtype, xnat])
+        ...            [sex, xtype, nat])
         >>> b
         sex | type\\nat | EU | FO | BE
-          H |    type1 | 10 |  2 |  4
-          H |    type2 |  3 |  7 |  1
+          M |    type1 | 10 |  2 |  4
+          M |    type2 |  3 |  7 |  1
           F |    type1 |  5 |  1 |  6
           F |    type2 |  2 |  8 |  9
-        >>> b.sort_values(('H', 'type2'))
+        >>> b.sort_values(('M', 'type2'))
         sex | type\\nat | BE | EU | FO
-          H |    type1 |  4 | 10 |  2
-          H |    type2 |  1 |  3 |  7
+          M |    type1 |  4 | 10 |  2
+          M |    type2 |  1 |  3 |  7
           F |    type1 |  6 |  5 |  1
           F |    type2 |  9 |  2 |  8
         """
@@ -2288,33 +2288,33 @@ def sort_axis(self, axes=None, reverse=False):
         LArray
             LArray with sorted axes.
 
-        Example
-        -------
-        >>> xnat = Axis('nat', ['EU', 'FO', 'BE'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> a = ndrange([xnat, xsex])
+        Examples
+        --------
+        >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> a = ndrange([nat, sex])
         >>> a
-        nat\\sex | H | F
+        nat\\sex | M | F
              EU | 0 | 1
              FO | 2 | 3
              BE | 4 | 5
         >>> a.sort_axis(x.sex)
-        nat\\sex | F | H
+        nat\\sex | F | M
              EU | 1 | 0
              FO | 3 | 2
              BE | 5 | 4
         >>> a.sort_axis()
-        nat\\sex | F | H
+        nat\\sex | F | M
              BE | 5 | 4
              EU | 1 | 0
              FO | 3 | 2
         >>> a.sort_axis((x.sex, x.nat))
-        nat\\sex | F | H
+        nat\\sex | F | M
              BE | 5 | 4
              EU | 1 | 0
              FO | 3 | 2
         >>> a.sort_axis(reverse=True)
-        nat\\sex | H | F
+        nat\\sex | M | F
              FO | 2 | 3
              EU | 0 | 1
              BE | 4 | 5
@@ -3278,15 +3278,15 @@ def with_total(self, *args, **kwargs):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = ndrange([xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = ndrange([nat, sex])
         >>> arr.with_total()
-        nat\\sex | H | F | total
+        nat\\sex | M | F | total
              BE | 0 | 1 |     1
              FO | 2 | 3 |     5
           total | 2 | 4 |     6
-        >>> arr = ndrange([Axis('a', 2), Axis('b', 3)])
+        >>> arr = ndrange([('a', 2), ('b', 3)])
         >>> arr.with_total()
           a\\b | 0 | 1 | 2 | total
             0 | 0 | 1 | 2 |     3
@@ -3349,17 +3349,17 @@ def argmin(self, axis):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
         >>> arr.argmin(x.sex)
         nat | BE | FR | IT
-            |  H |  F |  H
+            |  M |  F |  M
         """
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
         data = axis.labels[self.data.argmin(axis_idx)]
@@ -3380,11 +3380,11 @@ def posargmin(self, axis):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
@@ -3410,17 +3410,17 @@ def argmax(self, axis):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
         >>> arr.argmax(x.sex)
         nat | BE | FR | IT
-            |  F |  H |  F
+            |  F |  M |  F
         """
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
         data = axis.labels[self.data.argmax(axis_idx)]
@@ -3441,11 +3441,11 @@ def posargmax(self, axis):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
@@ -3477,19 +3477,19 @@ def argsort(self, axis=None, kind='quicksort'):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
         >>> arr.argsort(x.sex)
         nat\\sex | 0 | 1
-             BE | H | F
-             FR | F | H
-             IT | H | F
+             BE | M | F
+             FR | F | M
+             IT | M | F
         """
         if axis is None:
             if self.ndim > 1:
@@ -3523,16 +3523,16 @@ def posargsort(self, axis=None, kind='quicksort'):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 3 | 2
              IT | 2 | 5
         >>> arr.posargsort(x.sex)
-        nat\\sex | H | F
+        nat\\sex | M | F
              BE | 0 | 1
              FR | 1 | 0
              IT | 0 | 1
@@ -3559,13 +3559,13 @@ def info(self):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> mat0 = ones([xnat, xsex])
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> mat0 = ones([nat, sex])
         >>> mat0.info
         2 x 2
          nat [2]: 'BE' 'FO'
-         sex [2]: 'H' 'F'
+         sex [2]: 'M' 'F'
         """
         return self.axes.info
 
@@ -4005,34 +4005,31 @@ def append(self, axis, value, label=None):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2'])
-        >>> mat = ones([xnat, xsex])
-        >>> mat
-        nat\\sex |   H |   F
+        >>> a = ones('nat=BE,FO;sex=M,F')
+        >>> a
+        nat\\sex |   M |   F
              BE | 1.0 | 1.0
              FO | 1.0 | 1.0
-        >>> mat.append(x.sex, mat.sum(x.sex), 'H+F')
-        nat\\sex |   H |   F | H+F
+        >>> a.append(x.sex, a.sum(x.sex), 'M+F')
+        nat\\sex |   M |   F | M+F
              BE | 1.0 | 1.0 | 2.0
              FO | 1.0 | 1.0 | 2.0
-        >>> mat.append(x.nat, 2, 'Other')
-        nat\\sex |   H |   F
+        >>> a.append(x.nat, 2, 'Other')
+        nat\\sex |   M |   F
              BE | 1.0 | 1.0
              FO | 1.0 | 1.0
           Other | 2.0 | 2.0
-        >>> arr2 = zeros([xtype])
-        >>> arr2
+        >>> b = zeros('type=type1,type2')
+        >>> b
         type | type1 | type2
              |   0.0 |   0.0
-        >>> mat.append(x.nat, arr2, 'Other')
+        >>> a.append(x.nat, b, 'Other')
           nat | sex\\type | type1 | type2
-           BE |        H |   1.0 |   1.0
+           BE |        M |   1.0 |   1.0
            BE |        F |   1.0 |   1.0
-           FO |        H |   1.0 |   1.0
+           FO |        M |   1.0 |   1.0
            FO |        F |   1.0 |   1.0
-        Other |        H |   0.0 |   0.0
+        Other |        M |   0.0 |   0.0
         Other |        F |   0.0 |   0.0
         """
         axis = self.axes[axis]
@@ -4064,28 +4061,32 @@ def prepend(self, axis, value, label=None):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
-        >>> mat = ones([xnat, xsex, xtype])
-        >>> mat
-        nat | sex\\type | type1 | type2 | type3
-         BE |        H |   1.0 |   1.0 |   1.0
-         BE |        F |   1.0 |   1.0 |   1.0
-         FO |        H |   1.0 |   1.0 |   1.0
-         FO |        F |   1.0 |   1.0 |   1.0
-        >>> mat.prepend(x.type, mat.sum(x.type), 'type0')
-        nat | sex\\type | type0 | type1 | type2 | type3
-         BE |        H |   3.0 |   1.0 |   1.0 |   1.0
-         BE |        F |   3.0 |   1.0 |   1.0 |   1.0
-         FO |        H |   3.0 |   1.0 |   1.0 |   1.0
-         FO |        F |   3.0 |   1.0 |   1.0 |   1.0
-        >>> mat.prepend(x.type, 2, 'type0')
-        nat | sex\\type | type0 | type1 | type2 | type3
-         BE |        H |   2.0 |   1.0 |   1.0 |   1.0
-         BE |        F |   2.0 |   1.0 |   1.0 |   1.0
-         FO |        H |   2.0 |   1.0 |   1.0 |   1.0
-         FO |        F |   2.0 |   1.0 |   1.0 |   1.0
+        >>> a = ones('nat=BE,FO;sex=M,F')
+        >>> a
+        nat\sex |   M |   F
+             BE | 1.0 | 1.0
+             FO | 1.0 | 1.0
+        >>> a.prepend(x.sex, a.sum(x.sex), 'M+F')
+        nat\\sex | M+F |   M |   F
+             BE | 2.0 | 1.0 | 1.0
+             FO | 2.0 | 1.0 | 1.0
+        >>> a.prepend(x.nat, 2, 'Other')
+        nat\\sex |   M |   F
+          Other | 2.0 | 2.0
+             BE | 1.0 | 1.0
+             FO | 1.0 | 1.0
+        >>> b = zeros('type=type1,type2')
+        >>> b
+        type | type1 | type2
+             |   0.0 |   0.0
+        >>> a.prepend(x.nat, b, 'Other')
+         type | nat\sex |   M |   F
+        type1 |   Other | 0.0 | 0.0
+        type1 |      BE | 1.0 | 1.0
+        type1 |      FO | 1.0 | 1.0
+        type2 |   Other | 0.0 | 0.0
+        type2 |      BE | 1.0 | 1.0
+        type2 |      FO | 1.0 | 1.0
         """
         axis = self.axes[axis]
         if np.isscalar(value):
@@ -4114,32 +4115,32 @@ def extend(self, axis, other):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xsex2 = Axis('sex', ['U'])
+        >>> nat = Axis('nat', ['BE', 'FO'])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> sex2 = Axis('sex', ['U'])
         >>> xtype = Axis('type', ['type1', 'type2'])
-        >>> arr1 = ones([xsex, xtype])
+        >>> arr1 = ones([sex, xtype])
         >>> arr1
         sex\\type | type1 | type2
-               H |   1.0 |   1.0
+               M |   1.0 |   1.0
                F |   1.0 |   1.0
-        >>> arr2 = zeros([xsex2, xtype])
+        >>> arr2 = zeros([sex2, xtype])
         >>> arr2
         sex\\type | type1 | type2
                U |   0.0 |   0.0
         >>> arr1.extend(x.sex, arr2)
         sex\\type | type1 | type2
-               H |   1.0 |   1.0
+               M |   1.0 |   1.0
                F |   1.0 |   1.0
                U |   0.0 |   0.0
-        >>> arr3 = zeros([xsex2, xnat])
+        >>> arr3 = zeros([sex2, nat])
         >>> arr3
         sex\\nat |  BE |  FO
               U | 0.0 | 0.0
         >>> arr1.extend(x.sex, arr3)
         sex | type\\nat |  BE |  FO
-          H |    type1 | 1.0 | 1.0
-          H |    type2 | 1.0 | 1.0
+          M |    type1 | 1.0 | 1.0
+          M |    type2 | 1.0 | 1.0
           F |    type1 | 1.0 | 1.0
           F |    type2 | 1.0 | 1.0
           U |    type1 | 0.0 | 0.0
@@ -4169,23 +4170,22 @@ def transpose(self, *args):
 
         Example
         -------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> alive = Axis('alive', [False, True])
-        >>> a = ndrange([nat, sex, alive])
+        >>> a = ndrange([('nat', 'BE,FO'),
+        ...              ('sex', 'M,F'),
+        ...              ('alive', [False, True])])
         >>> a
         nat | sex\\alive | False | True
          BE |         M |     0 |    1
          BE |         F |     2 |    3
          FO |         M |     4 |    5
          FO |         F |     6 |    7
-        >>> a.transpose(alive, sex, nat)
+        >>> a.transpose(x.alive, x.sex, x.nat)
         alive | sex\\nat | BE | FO
         False |       M |  0 |  4
         False |       F |  2 |  6
          True |       M |  1 |  5
          True |       F |  3 |  7
-        >>> a.transpose(alive)
+        >>> a.transpose(x.alive)
         alive | nat\\sex | M | F
         False |      BE | 0 | 2
         False |      FO | 4 | 6
@@ -4259,31 +4259,29 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> mat = ndrange([xnat, xsex])
-        >>> mat
-        nat\\sex | H | F
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a
+        nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
-        >>> mat.to_csv('test.csv')
+        >>> a.to_csv('test.csv')
         >>> with open('test.csv') as f:
         ...     print(f.read().strip())
-        nat\\sex,H,F
+        nat\\sex,M,F
         BE,0,1
         FO,2,3
-        >>> mat.to_csv('test.csv', sep=';', transpose=False)
+        >>> a.to_csv('test.csv', sep=';', transpose=False)
         >>> with open('test.csv') as f:
         ...     print(f.read().strip())
         nat;sex;0
-        BE;H;0
+        BE;M;0
         BE;F;1
-        FO;H;2
+        FO;M;2
         FO;F;3
-        >>> mat.to_csv('test.csv', dialect='classic')
+        >>> a.to_csv('test.csv', dialect='classic')
         >>> with open('test.csv') as f:
         ...     print(f.read().strip())
-        nat,H,F
+        nat,M,F
         BE,0,1
         FO,2,3
         """
@@ -4314,10 +4312,8 @@ def to_hdf(self, filepath, key, *args, **kwargs):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> mat = ndrange([xnat, xsex])
-        >>> mat.to_hdf('test.h5', 'mat')
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a.to_hdf('test.h5', 'a')
         """
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
@@ -4364,9 +4360,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> a = ndrange([xnat, xsex])
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> # write to a new (unnamed) sheet
         >>> a.to_excel('test.xlsx')  # doctest: +SKIP
         >>> # write to top-left corner of an existing sheet
@@ -4479,10 +4473,8 @@ def to_clipboard(self, *args, **kwargs):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> mat = ndrange([xnat, xsex])
-        >>> mat.to_clipboard()  # doctest: +SKIP
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a.to_clipboard()  # doctest: +SKIP
         """
         self.to_frame().to_clipboard(*args, **kwargs)
 
@@ -4534,11 +4526,8 @@ def plot(self):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type',['type1', 'type2', 'type3'])
-        >>> mat = ndrange([xnat, xsex, xtype])
-        >>> mat.plot()  # doctest: +SKIP
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a.plot()  # doctest: +SKIP
         """
         return self.to_frame().plot
 
@@ -4553,11 +4542,8 @@ def shape(self):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type',['type1', 'type2', 'type3'])
-        >>> mat = ndrange([xnat, xsex, xtype])
-        >>> mat.shape  # doctest: +SKIP
+        >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
+        >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
         """
         return self.data.shape
@@ -4573,31 +4559,26 @@ def ndim(self):
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type',['type1', 'type2', 'type3'])
-        >>> mat = ndrange([xnat, xsex, xtype])
-        >>> mat.ndim
-        3
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a.ndim
+        2
         """
         return self.data.ndim
 
     @property
     def size(self):
         """
-        returns the number of cells in a LArray.
+        returns the number of cells in array.
 
         Returns
         -------
-        integer
-            returns the number of cells in a LArray.
+        int
+            returns the number of cells in array.
 
         Example
         -------
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
-        >>> mat = ndrange([xsex, xtype])
-        >>> mat.size
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3')
+        >>> a.size
         6
         """
         return self.data.size
@@ -4605,19 +4586,17 @@ def size(self):
     @property
     def nbytes(self):
         """
-        returns the number of bytes in a LArray.
+        returns the number of bytes in a array.
 
         Returns
         -------
         int
-            returns the number of bytes in a LArray.
+            returns the number of bytes in array.
 
         Example
         -------
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
-        >>> mat = ndrange([xsex, xtype], dtype=float)
-        >>> mat.nbytes
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
+        >>> a.nbytes
         48
         """
         return self.data.nbytes
@@ -4630,13 +4609,11 @@ def memory_used(self):
         Returns
         -------
         str
-            returns the number of bytes in a LArray.
+            returns the memory used by the array.
 
         Example
         -------
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
-        >>> a = ndrange([xsex, xtype], dtype=float)
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.memory_used
         '48 bytes'
         """
@@ -4649,16 +4626,13 @@ def dtype(self):
 
         Returns
         -------
-        string
+        dtype
             returns the type of the data in the cells of LArray.
 
         Example
         -------
-        >>> xnat = Axis('nat', ['BE', 'FO'])
-        >>> xsex = Axis('sex', ['H', 'F'])
-        >>> xtype = Axis('type',['type1', 'type2', 'type3'])
-        >>> mat = zeros([xnat, xsex, xtype])
-        >>> mat.dtype
+        >>> a = zeros('sex=M,F;type=type1,type2,type3')
+        >>> a.dtype
         dtype('float64')
         """
         return self.data.dtype
@@ -4677,7 +4651,7 @@ def __array__(self, dtype=None):
 
     def set_labels(self, axis, labels, inplace=False):
         """
-        replaces the labels of axis of a LArray
+        replaces the labels of an axis of array
 
         Parameters
         ----------
@@ -4685,20 +4659,18 @@ def set_labels(self, axis, labels, inplace=False):
             the axis for which we want to replace the labels.
         labels : list of axis labels
             the new labels.
-        inplace : boolean
+        inplace : bool
             whether or not to modify the original object or return a new
             LArray and leave the original intact.
 
         Returns
         -------
         LArray
-            LArray with modified labels.
+            array with modified labels.
 
         Example
         -------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> a = ndrange([nat, sex])
+        >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
              BE | 0 | 1
@@ -4738,18 +4710,16 @@ def shift(self, axis, n=1):
 
         Example
         -------
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> xtype = Axis('type',['type1', 'type2', 'type3'])
-        >>> mat = ndrange([sex, xtype])
-        >>> mat
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3')
+        >>> a
         sex\\type | type1 | type2 | type3
                M |     0 |     1 |     2
                F |     3 |     4 |     5
-        >>> mat.shift(x.type)
+        >>> a.shift(x.type)
         sex\\type | type2 | type3
                M |     0 |     1
                F |     3 |     4
-        >>> mat.shift(x.type, n=-1)
+        >>> a.shift(x.type, n=-1)
         sex\\type | type1 | type2
                M |     1 |     2
                F |     4 |     5
@@ -4795,11 +4765,9 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         LArray : The n-th order differences. The shape of the output is the same
         as `a` except for `axis` which is smaller by `n` * `d`.
 
-        Example
-        -------
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
-        >>> a = ndrange([sex, xtype]).cumsum(x.type)
+        Examples
+        --------
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum(x.type)
         >>> a
         sex\\type | type1 | type2 | type3
                M |     0 |     1 |     3
@@ -4858,8 +4826,8 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> sex = Axis('sex', ['M', 'F'])
         >>> year = Axis('year', range(2016, 2020))
         >>> a = LArray([[1.0, 2.0, 3.0, 3.0], [2.0, 3.0, 1.5, 3.0]],
@@ -4888,6 +4856,7 @@ def compact(self):
                 res = res[axis.i[0]]
         return res
 
+
 def parse(s):
     """
     used to parse the "folded" axis ticks (usually periods)
@@ -5015,11 +4984,13 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
         Name of dialect. Defaults to 'larray'.
     **kwargs
 
-    Example
+    Returns
     -------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([nat, sex])
+    LArray
+
+    Examples
+    --------
+    >>> a = ndrange('nat=BE,FO;sex=M,F')
     >>> a.to_csv('test.csv')
     >>> read_csv('test.csv')
     nat\\sex | M | F
@@ -5191,18 +5162,18 @@ def zeros(axes, dtype=float, order='C'):
     Examples
     --------
     >>> zeros([('nat', ['BE', 'FO']),
-    ...        ('sex', ['H', 'F'])])
-    nat\sex |   H |   F
+    ...        ('sex', ['M', 'F'])])
+    nat\sex |   M |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
-    >>> zeros('nat=BE,FO;sex=H,F')
-    nat\sex |   H |   F
+    >>> zeros('nat=BE,FO;sex=M,F')
+    nat\sex |   M |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
     >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['H', 'F'])
+    >>> sex = Axis('sex', ['M', 'F'])
     >>> zeros([nat, sex])
-    nat\sex |   H |   F
+    nat\sex |   M |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
     """
@@ -5261,10 +5232,10 @@ def ones(axes, dtype=float, order='C'):
 
     Example
     -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> ones([xnat, xsex])
-    nat\\sex |   H |   F
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> ones([nat, sex])
+    nat\\sex |   M |   F
          BE | 1.0 | 1.0
          FO | 1.0 | 1.0
     """
@@ -5324,10 +5295,10 @@ def empty(axes, dtype=float, order='C'):
 
     Example
     -------
-    >>> xnat = Axis('nat', ['BE', 'FO'])
-    >>> xsex = Axis('sex', ['H', 'F'])
-    >>> empty([xnat, xsex])  # doctest: +SKIP
-    nat\\sex |                  H |                  F
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> empty([nat, sex])  # doctest: +SKIP
+    nat\\sex |                  M |                  F
          BE | 2.47311483356e-315 | 2.47498446195e-315
          FO |                0.0 | 6.07684618082e-31
     """
@@ -5678,27 +5649,27 @@ def ndrange(axes, start=0, dtype=int):
     Examples
     --------
     >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['H', 'F'])
+    >>> sex = Axis('sex', ['M', 'F'])
     >>> ndrange([nat, sex])
-    nat\\sex | H | F
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
     >>> ndrange([('nat', ['BE', 'FO']),
-    ...          ('sex', ['H', 'F'])])
-    nat\\sex | H | F
+    ...          ('sex', ['M', 'F'])])
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
     >>> ndrange([('nat', 'BE,FO'),
-    ...          ('sex', 'H,F')])
-    nat\\sex | H | F
+    ...          ('sex', 'M,F')])
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> ndrange(['nat=BE,FO', 'sex=H,F'])
-    nat\\sex | H | F
+    >>> ndrange(['nat=BE,FO', 'sex=M,F'])
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> ndrange('nat=BE,FO;sex=H,F')
-    nat\\sex | H | F
+    >>> ndrange('nat=BE,FO;sex=M,F')
+    nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
     >>> ndrange([2, 3], dtype=float)
@@ -5713,8 +5684,8 @@ def ndrange(axes, start=0, dtype=int):
         | 0 | 1 | 2
     """
     # XXX: implement something like:
-    # >>> mat = ndrange([['BE', 'FO'], ['H', 'F']], axes=['nat', 'sex'])
-    # >>> mat = ndrange(['BE,FO', 'H,F'], axes=['nat', 'sex'])
+    # >>> mat = ndrange([['BE', 'FO'], ['M', 'F']], axes=['nat', 'sex'])
+    # >>> mat = ndrange(['BE,FO', 'M,F'], axes=['nat', 'sex'])
     # XXX: try to come up with a syntax where start is before "end". For ndim
     #  > 1, I cannot think of anything nice.
     axes = AxisCollection(axes)
@@ -5925,7 +5896,7 @@ def eye(rows, columns=None, k=0, dtype=None):
 #      => unsure for now. The most important point is that it should be
 #         consistent with other functions.
 # stack(a1, a2, axis=Axis('sex', 'H,F'))
-# stack(('H', a1), ('F', a2), axis='sex')
+# stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
 def stack(arrays, axis=None):
     """
@@ -5954,8 +5925,8 @@ def stack(arrays, axis=None):
     >>> arr2
     nat |  BE |  FO
         | 0.0 | 0.0
-    >>> stack([('H', arr1), ('F', arr2)], 'sex')
-    nat\\sex |   H |   F
+    >>> stack([('M', arr1), ('F', arr2)], 'sex')
+    nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
@@ -5963,16 +5934,16 @@ def stack(arrays, axis=None):
     should be preferred because it is more obvious which label correspond to
     what array):
 
-    >>> sex = Axis('sex', ['H', 'F'])
+    >>> sex = Axis('sex', ['M', 'F'])
     >>> stack((arr1, arr2), sex)
-    nat\\sex |   H |   F
+    nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
     or for arrays with different axes:
 
     >>> stack((arr1, 0), sex)
-    nat\\sex |   H |   F
+    nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
@@ -5987,7 +5958,7 @@ def stack(arrays, axis=None):
     >>> # not using the same length as nat, otherwise numpy gets confused :(
     >>> nd = LArray([arr1, zeros(Axis('type', [1, 2, 3]))], sex)
     >>> stack(nd, sex)
-    nat | type\sex |   H |   F
+    nat | type\sex |   M |   F
      BE |        1 | 1.0 | 0.0
      BE |        2 | 1.0 | 0.0
      BE |        3 | 1.0 | 0.0

From 4fc9d153b50b84f17ee701fb0d7f62670fb53f8c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 09:55:58 +0200
Subject: [PATCH 136/899] >>> from larray.ipfp import ipfp

>>> a = Axis('a', 2)
>>> b = Axis('b', 2)
>>> initial = LArray([[2, 1],
                      [1, 2]], [a, b])
>>> initial
a*\b* | 0 | 1
    0 | 2 | 1
    1 | 1 | 2
>>> target_sum_along_a = LArray([2, 1], b)
>>> target_sum_along_b = LArray([1, 2], a)
>>> ipfp([target_sum_along_a, target_sum_along_b], initial, threshold=0.01)
a*\b* |                  0 |                   1
    0 | 0.8450704225352113 | 0.15492957746478875
    1 | 1.1538461538461537 |  0.8461538461538463
---
 larray/ipfp.py            | 199 ++++++++++++++++++++++++++++++++++++++
 larray/tests/test_ipfp.py |  96 ++++++++++++++++++
 2 files changed, 295 insertions(+)
 create mode 100644 larray/ipfp.py
 create mode 100644 larray/tests/test_ipfp.py

diff --git a/larray/ipfp.py b/larray/ipfp.py
new file mode 100644
index 000000000..0bd3ad1bd
--- /dev/null
+++ b/larray/ipfp.py
@@ -0,0 +1,199 @@
+import math
+from collections import deque
+
+import larray as la
+import numpy as np
+
+
+def badvalues(a, bad_filter):
+    bad_values = a[bad_filter]
+    assert bad_values.ndim == 1
+    return '\n'.join('%s: %s' % (k, v)
+                     for k, v in zip(bad_values.axes[0], bad_values))
+
+
+def f2str(f, threshold=2):
+    """Return string representation of floating point number f. Use scientific
+    notation if f would have more than threshold decimal digits, otherwise
+    use threshold as precision.
+    """
+    kind = "e" if f and math.log10(1 / f) > threshold else "f"
+    format_str = "%%.%d%s" % (threshold, kind)
+    return format_str % f
+
+
+def warn_or_raise(what, msg):
+    if what == 'raise':
+        raise ValueError(msg)
+    else:
+        print("WARNING: {}".format(msg))
+
+
+def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
+         nzvzs='raise', no_convergence='raise', display_progress=False):
+    """Apply Iterative Proportional Fitting Procedure (also known as
+    bi-proportional fitting in statistics, RAS algorithm in economics) to array
+    a, with target_sums as targets.
+
+    Parameters
+    ----------
+    target_sums : tuple/list of array-like
+        target sums to achieve. First element must be the sum to achieve
+        along axis 0, the second the sum along axis 1, ...
+    a : array-like, optional
+        starting values to fit, if not given starts with an array filled
+        with 1.
+    maxiter : int, optional
+        maximum number of iteration, defaults to 1000.
+    threshold : float, optional
+        threshold below which the result is deemed acceptable, defaults to 0.5.
+    stepstoabort : int, optional
+        number of consecutive steps with no improvement after which to abort.
+        Defaults to 10.
+    nzvzs : 'fix', 'warn' or 'raise', optional
+        behavior when detecting non zero values where the sum is zero
+        'fix': set to zero (silently)
+        'warn': set to zero and print a warning
+        'raise': raise an exception (default)
+    no_convergence : 'ignore', 'warn' or 'raise, optional
+        behavior when the algorithm does not seem to converge. This
+        condition is triggered both when the maximum number of iteration is
+        reached or when the maximum absolute difference between the target and
+        the current sums does not improve for `stepstoabort` iterations.
+        'ignore': return values computed up to that point (silently)
+        'warn': return values computed up to that point and print a warning
+        'raise': raise an exception (default)
+    display_progress : bool, optional
+        whether or not to display progress. Defaults to False.
+
+    Returns
+    -------
+    LArray
+    """
+    assert nzvzs in {'fix', 'warn', 'raise'}
+    assert no_convergence in {'ignore', 'warn', 'raise'}
+    target_sums = [la.aslarray(a) for a in target_sums]
+
+    def rename_axis(axis, name):
+        return axis if axis.name is not None else axis.rename(name)
+
+    n = len(target_sums)
+    axes_names = ['axis%d' % i for i in range(n)]
+    new_target_sums = []
+    for i, ts in enumerate(target_sums):
+        ts_axes_names = axes_names[:i] + axes_names[i+1:]
+        new_ts = ts.with_axes([rename_axis(axis, name)
+                               for axis, name in zip(ts.axes, ts_axes_names)])
+        new_target_sums.append(new_ts)
+    target_sums = new_target_sums
+
+    if a is None:
+        # reconstruct all axes from target_sums axes
+        # assuming shape is the total shape of a
+        # >>> shape = (3, 4, 5)
+        # target_sums axes would be:
+        # >>> shapes = [shape[:i] + shape[i+1:] for i in range(len(shape))]
+        # >>> shapes
+        # [(4, 5), (3, 5), (3, 4)]
+        # >>> (shapes[1][0],) + shapes[0]
+        # (3, 4, 5)
+        # so, to reconstruct a.axes from target_sum axes, we need to take the
+        # first axis of the second target_sum and all axes from the first
+        # target_sum:
+
+        # first_axis = rename_axis(0, target_sums[1].axes[0])
+        # other_axes = [rename_axis(i, a)
+        #               for i, a in enumerate(target_sums[0].axes, start=1)]
+        first_axis = target_sums[1].axes[0]
+        other_axes = target_sums[0].axes
+        all_axes = first_axis + other_axes
+        a = la.ones(all_axes, dtype=np.float64)
+    else:
+        # TODO: this should be a builtin op
+        if isinstance(a, la.LArray):
+            a = a.copy()
+        else:
+            a = la.aslarray(a)
+        # TODO: this should be a builtin op
+        # axes_names = [name if name is not None else 'axis%d' % i
+        #               for i, name in enumerate(a.axes.names)]
+        # a = a.rename({i: name for i, name in enumerate(axes_names)})
+        a = a.with_axes([rename_axis(axis, name)
+                         for axis, name in zip(a.axes, axes_names)])
+
+    axis0_total = target_sums[0].sum()
+    for i, axis_target in enumerate(target_sums[1:], start=1):
+        axis_total = axis_target.sum()
+        if str(axis_total) != str(axis0_total):
+            raise ValueError("target sum along %s (axis %d) is different "
+                             "than target sum along %s (axis %d): %s vs %s"
+                             % (a.axes[i], i,
+                                a.axes[0], 0,
+                                axis_total, axis0_total))
+
+    negative = a < 0
+    if la.any(negative):
+        raise ValueError("negative value(s) found:\n%s"
+                         % badvalues(a, negative))
+
+    for dim, axis_target in enumerate(target_sums):
+        axis_sum = a.sum(axis=dim)
+        bad = (axis_sum == 0) & (axis_target != 0)
+        if la.any(bad):
+            raise ValueError("found all zero values sum along %s (%d) but non "
+                             "zero target sum:\n%s"
+                             % (a.axes[dim].name, dim,
+                                badvalues(axis_target, bad)))
+
+        bad = (axis_sum != 0) & (axis_target == 0)
+        if la.any(bad):
+            if nzvzs in {'warn', 'raise'}:
+                msg = "found non zero values sum along {} ({}) but zero " \
+                      "target sum".format(a.axes[dim].name, dim)
+                if nzvzs == 'raise':
+                    raise ValueError("{}:\n{}"
+                                     .format(msg, badvalues(axis_sum, bad)))
+                else:
+                    print("WARNING: {}, setting them to zero: {}"
+                          .format(msg, badvalues(axis_sum, bad)))
+            a[bad] = 0
+            # verify we did fix the problem
+            assert not np.any((a.sum(axis=dim) != 0) & (axis_target == 0))
+
+    r = a
+    lastdiffs = deque([float('nan')], maxlen=stepstoabort)
+    for i in range(maxiter):
+        startr = r.copy()
+        for dim, axis_target in enumerate(target_sums):
+            axis_sum = r.sum(axis=dim)
+            factor = axis_target.divnot0(axis_sum)
+            r *= factor
+        stepcelldiff = abs(r - startr).max()
+        maxsumdiff = max(abs(r.sum(axis=dim) - axis_target).max()
+                         for dim, axis_target in enumerate(target_sums))
+        stepsumimprovement = lastdiffs[-1] - maxsumdiff
+
+        if display_progress:
+            print("it %d cell diff %s sum diff to target %s (%s)" %
+                  (i, f2str(stepcelldiff), f2str(maxsumdiff),
+                   f2str(stepsumimprovement)))
+
+        if np.all(np.array(lastdiffs) == maxsumdiff):
+            if no_convergence in {'warn', 'raise'}:
+                warn_or_raise(no_convergence,
+                              "does not seem to converge (no improvement "
+                              "for %d consecutive steps), stopping here."
+                              % stepstoabort)
+            return r
+
+        if maxsumdiff < threshold:
+            if display_progress:
+                print("acceptable threshold found at iteration:", i)
+            return r
+
+        lastdiffs.append(maxsumdiff)
+
+    if no_convergence in {'warn', 'raise'}:
+        warn_or_raise(no_convergence,
+                      "maximum iteration reached ({})".format(maxiter))
+    return r
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
new file mode 100644
index 000000000..ee4c4ed54
--- /dev/null
+++ b/larray/tests/test_ipfp.py
@@ -0,0 +1,96 @@
+from __future__ import absolute_import, division, print_function
+
+from unittest import TestCase
+import unittest
+
+from larray import Axis, LArray, ndrange
+from larray.tests.test_la import assert_array_equal
+from larray.ipfp import ipfp
+
+
+class TestIPFP(TestCase):
+    def test_ipfp(self):
+        a = Axis('a', 2)
+        b = Axis('b', 2)
+        initial = LArray([[2, 1],
+                          [1, 2]], [a, b])
+
+        # sums already correct
+        # [3, 3], [3, 3]
+        r = ipfp([initial.sum(a), initial.sum(b)], initial)
+        assert_array_equal(r, [[2, 1],
+                               [1, 2]])
+
+        # different sums (ie the usual case)
+        along_a = LArray([2, 1], b)
+        along_b = LArray([1, 2], a)
+        r = ipfp([along_a, along_b], initial)
+        assert_array_equal(r, [[0.8, 0.2],
+                               [1.0, 1.0]])
+
+        # different sums, more precise threshold
+        along_a = LArray([2, 1], b)
+        along_b = LArray([1, 2], a)
+        r = ipfp([along_a, along_b], initial, threshold=0.01)
+        assert_array_equal(r, [[0.8450704225352113, 0.15492957746478875],
+                               [1.1538461538461537, 0.8461538461538463]])
+
+    def test_ipfp_no_values(self):
+        # 6, 12, 18
+        along_a = ndrange([('b', 3)], start=1) * 6
+        # 6, 12, 18
+        along_b = ndrange([('a', 3)], start=1) * 6
+        r = ipfp([along_a, along_b])
+        assert_array_equal(r, [[1.0, 2.0, 3.0],
+                               [2.0, 4.0, 6.0],
+                               [3.0, 6.0, 9.0]])
+
+        along_a = LArray([2, 1], Axis('b', 2))
+        along_b = LArray([1, 2], Axis('a', 2))
+        r = ipfp([along_a, along_b])
+        assert_array_equal(r, [[2 / 3, 1 / 3],
+                               [4 / 3, 2 / 3]])
+
+    def test_ipfp_no_values_no_name(self):
+        r = ipfp([[6, 12, 18], [6, 12, 18]])
+        assert_array_equal(r, [[1.0, 2.0, 3.0],
+                               [2.0, 4.0, 6.0],
+                               [3.0, 6.0, 9.0]])
+
+        r = ipfp([[2, 1], [1, 2]])
+        assert_array_equal(r, [[2 / 3, 1 / 3],
+                               [4 / 3, 2 / 3]])
+
+    def test_ipfp_no_name(self):
+        initial = LArray([[2, 1],
+                          [1, 2]])
+
+        # sums already correct
+        # [3, 3], [3, 3]
+        r = ipfp([initial.sum(axis=0), initial.sum(axis=1)], initial)
+        assert_array_equal(r, [[2, 1],
+                               [1, 2]])
+
+        # different sums (ie the usual case)
+        along_a = LArray([2, 1])
+        along_b = LArray([1, 2])
+        r = ipfp([along_a, along_b], initial)
+        assert_array_equal(r, [[0.8, 0.2],
+                               [1.0, 1.0]])
+
+    def test_ipfp_non_larray(self):
+        initial = [[2, 1],
+                   [1, 2]]
+
+        # sums already correct
+        r = ipfp([[3, 3], [3, 3]], initial)
+        assert_array_equal(r, [[2, 1],
+                               [1, 2]])
+
+        # different sums (ie the usual case)
+        r = ipfp([[2, 1], [1, 2]], initial)
+        assert_array_equal(r, [[0.8, 0.2],
+                               [1.0, 1.0]])
+
+if __name__ == "__main__":
+    unittest.main()

From 2415c91df4680814fa572dec7e561e56a3dfc91d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 10:01:44 +0200
Subject: [PATCH 137/899] bump version to 0.16

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 9c5576c56..624c1926a 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.15
+  version: 0.16
 
 source:
-  git_tag: 0.15
+  git_tag: 0.16
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 3359022a4..dde33b8bc 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.15'
+version = '0.16'
 # The full version, including alpha/beta/rc tags.
-release = '0.15'
+release = '0.16'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 5a8af0246..f59204ee8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.15"
+__version__ = "0.16"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index 1e9623b0e..789b3409a 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.15'
+VERSION = '0.16'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 9313465d7e54da4d8232df0c3af2913edf283ec3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 10:13:38 +0200
Subject: [PATCH 138/899] added docstrings for LArray.compact and
 Session.compact

---
 larray/core.py    | 21 +++++++++++++++++++++
 larray/session.py | 14 ++++++++++++++
 2 files changed, 35 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index f59204ee8..0b1702308 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4850,6 +4850,27 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
     def compact(self):
+        """
+        detect and remove "useless" axes (ie axes for which values are
+        constant over the whole axis)
+
+        Returns
+        -------
+        LArray or scalar
+            array with constant axes removed
+
+        Example
+        -------
+        >>> a = LArray([[1, 2],
+        ...             [1, 2]], [Axis('sex', 'M,F'), Axis('nat', 'BE,FO')])
+        >>> a
+        sex\\nat | BE | FO
+              M |  1 |  2
+              F |  1 |  2
+        >>> a.compact()
+        nat | BE | FO
+            |  1 |  2
+        """
         res = self
         for axis in res.axes:
             if (res == res[axis.i[0]]).all():
diff --git a/larray/session.py b/larray/session.py
index 9b305891d..5c2f2774b 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -393,6 +393,20 @@ def __ne__(self, other):
         return ~(self == other)
 
     def compact(self, display=False):
+        """
+        detect and remove "useless" axes (ie axes for which values are
+        constant over the whole axis) for all arrays in session
+
+        Parameters
+        ----------
+        display : bool, optional
+            whether or not to display a message for each array that is compacted
+
+        Returns
+        -------
+        Session
+            a new session containing all compacted arrays
+        """
         new_items = []
         for k, v in self._objects.items():
             compacted = v.compact()

From aac8946d836e5d6539cf5903cbd1abe191476661 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 10:37:18 +0200
Subject: [PATCH 139/899] fixed ipfp on python2

---
 larray/ipfp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 0bd3ad1bd..24ffcbc16 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -72,7 +72,7 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}
-    target_sums = [la.aslarray(a) for a in target_sums]
+    target_sums = [la.aslarray(ts) for ts in target_sums]
 
     def rename_axis(axis, name):
         return axis if axis.name is not None else axis.rename(name)

From e6b32192d77dee9cf78236b74e0d5a8bb099e4ed Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 26 Oct 2016 17:07:32 +0200
Subject: [PATCH 140/899] nicer error message

---
 larray/ipfp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 24ffcbc16..8a2fc5a52 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -154,7 +154,7 @@ def rename_axis(axis, name):
                     raise ValueError("{}:\n{}"
                                      .format(msg, badvalues(axis_sum, bad)))
                 else:
-                    print("WARNING: {}, setting them to zero: {}"
+                    print("WARNING: {}, setting them to zero:\n{}"
                           .format(msg, badvalues(axis_sum, bad)))
             a[bad] = 0
             # verify we did fix the problem

From 1192115a74d56992937ea0f3816e06d24748dd08 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 28 Oct 2016 11:16:00 +0200
Subject: [PATCH 141/899] simplify code for LA.__getitem__(LA). Paves the way
 for fixing/generalizing it.

---
 larray/core.py | 17 ++++-------------
 1 file changed, 4 insertions(+), 13 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 0b1702308..b3694ef2a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2645,23 +2645,14 @@ def __getitem__(self, key, collapse_slices=False):
         if any(isinstance(axis_key, LArray) for axis_key in translated_key):
             k2 = [k.data if isinstance(k, LArray) else k
                   for k in translated_key]
-            data = data[k2]
+            res_data = data[k2]
             axes = [axis.subaxis(axis_key)
                     for axis, axis_key in zip(self.axes, translated_key)
                     if not np.isscalar(axis_key)]
 
-            # subaxis can return tuple of axes and we want a single list of axes
-            # not a nested structure. We could do both in one step but it's
-            # awfully unreadable.
-            def flatten(l):
-                return [e for sublist in l for e in sublist]
-
-            def to2d(l):
-                return [mixed if isinstance(mixed, (tuple, list)) else [mixed]
-                        for mixed in l]
-
-            axes = flatten(to2d(axes))
-            return LArray(data, axes)
+            first_col = AxisCollection(axes[0])
+            res_axes = first_col.union(*axes[1:])
+            return LArray(res_data, res_axes)
 
         # TODO: if the original key was a list of labels,
         # subaxis(translated_key).labels == orig_key, so we should use

From 5169c96abea2fc33c7284498322e50faa7dde6cd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 28 Oct 2016 11:17:23 +0200
Subject: [PATCH 142/899] added many more tests for la[la]

most of them are failing & commented though
---
 larray/tests/test_la.py | 131 +++++++++++++++++++++++++++++++++++++---
 1 file changed, 122 insertions(+), 9 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 63c8e1ac7..311415da4 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1110,16 +1110,129 @@ def test_getitem_int_larray_lgroup_key(self):
         self.assertEqual(res.shape, (2, 2, 2, 2))
         self.assertEqual(res.axes.names, ['c', 'd', 'a', 'b'])
 
-    def test_getitem_larray_key_guess(self):
+    def test_getitem_single_larray_key_guess(self):
         a = Axis('a', ['a1', 'a2'])
-        b = Axis('b', ['b1', 'b2'])
-        c = Axis('c', ['c1', 'c2'])
-        d = Axis('d', ['d1', 'd2'])
-        e = Axis('e', ['e1', 'e2', 'e3', 'e4'])
-
-        arr = ndrange([c, d, e])
-        key = LArray([['e1', 'e2'], ['e3', 'e4']], [a, b])
-        self.assertEqual(arr[key].axes, [c, d, a, b])
+        b = Axis('b', ['b1', 'b2', 'b3'])
+        c = Axis('c', ['c1', 'c2', 'c3', 'c4'])
+
+        # 1) key with extra axis
+        arr = ndrange([a, b])
+        # replace the values_axis by the extra axis
+        key = LArray(['a1', 'a2', 'a2', 'a1'], [c])
+        self.assertEqual(arr[key].axes, [c, b])
+
+        # 2) key with the values axis (the one being replaced)
+        arr = ndrange([a, b])
+        key = LArray(['b2', 'b1', 'b3'], [b])
+        # axis stays the same but data should be flipped/shuffled
+        self.assertEqual(arr[key].axes, [a, b])
+
+        # 2bis) key with part of the values axis (the one being replaced)
+        arr = ndrange([a, b])
+        b_bis = Axis('b', ['b1', 'b2'])
+        key = LArray(['b3', 'b2'], [b_bis])
+        self.assertEqual(arr[key].axes, [a, b_bis])
+
+        # 3) key with another existing axis (not the values axis)
+    #     arr = ndrange([a, b])
+    #     key = LArray(['a1', 'a2', 'a1'], [b])
+    #     # we need points indexing
+    #     # equivalent to
+    #     # tmp = arr[x.a['a1', 'a2', 'a1'] ^ x.b['b1', 'b2', 'b3']]
+    #     # res = tmp.set_axes([b])
+    #     # both the values axis and the other existing axis
+    #     self.assertEqual(arr[key].axes, [b])
+    #
+    #     # 3bis) key with part of another existing axis (not the values axis)
+    #     arr = ndrange([a, b])
+    #     b_bis = Axis('b', ['b1', 'b2'])
+    #     key = LArray(['a2', 'a1'], [b_bis])
+    #     # we need points indexing
+    #     # equivalent to
+    #     # tmp = arr[x.a['a2', 'a1'] ^ x.b['b1', 'b2']]
+    #     # res = tmp.set_axes([b_bis])
+    #     self.assertEqual(arr[key].axes, [b_bis])
+    #
+    #     # 4) key has both the values axis and another existing axis
+    #     # a\b b1 b2 b3
+    #     #  a1  0  1  2
+    #     #  a2  3  4  5
+    #     arr = ndrange([a, b])
+    #     # a\b b1 b2 b3
+    #     #  a1 a1 a2 a1
+    #     #  a2 a2 a1 a2
+    #     key = LArray([['a1', 'a2', 'a1'],
+    #                   ['a2', 'a1', 'a2']],
+    #                  [a, b])
+    #     # a\b b1 b2 b3
+    #     #  a1  0  4  2
+    #     #  a2  3  1  5
+    #     # we need to produce the following keys for numpy:
+    #     # k0:
+    #     # [[0, 1, 0],
+    #     #  [1, 0, 1]]
+    #     # TODO: [0, 1, 2] is enough in this case (thanks to broadcasting)
+    #     #       because in numpy missing dimensions are filled by adding
+    #     #       length 1 dimensions to the left. Ie it works because b is the
+    #     #       last dimension.
+    #     # k1:
+    #     # [[0, 1, 2],
+    #     #  [0, 1, 2]]
+    #
+    #     # we need points indexing
+    #     # equivalent to
+    #     # tmp = arr[x.a[['a1', 'a2', 'a1'],
+    #     #               ['a2', 'a1', 'a2']] ^ x.b['b1', 'b2', 'b3']]
+    #     # res = tmp.set_axes([a, b])
+    #     # this is kinda ugly because a ND x.a has implicit (positional dimension
+    #     res = arr[key]
+    #     self.assertEqual(res.axes, [a, b])
+    #     assert_array_equal(res, [[0, 4, 2],
+    #                              [3, 1, 5]])
+    #
+    #     # 5) key has both the values axis and an extra axis
+    #     arr = ndrange([a, b])
+    #     key = LArray([['a1', 'a2', 'a2', 'a1'], ['a2', 'a1', 'a1', 'a2']],
+    #                  [a, c])
+    #     self.assertEqual(arr[key].axes, [a, c])
+    #
+    #     # 6) key has both another existing axis (not values) and an extra axis
+    #     arr = ndrange([a, b])
+    #     key = LArray([['b1', 'b2', 'b1', 'b2'], ['b3', 'b4', 'b3', 'b4']],
+    #                  [a, c])
+    #     self.assertEqual(arr[key].axes, [a, c])
+    #
+    #     # 7) key has the values axis, another existing axis and an extra axis
+    #     arr = ndrange([a, b])
+    #     key = LArray([[['a1', 'a2', 'a1', 'a2'],
+    #                    ['a2', 'a1', 'a2', 'a1'],
+    #                    ['a1', 'a2', 'a1', 'a2']],
+    #
+    #                   [['a1', 'a2', 'a2', 'a1'],
+    #                    ['a2', 'a2', 'a2', 'a2'],
+    #                    ['a1', 'a2', 'a2', 'a1']]],
+    #                  [a, b, c])
+    #     self.assertEqual(arr[key].axes, [a, c])
+    #
+    # def test_getitem_multiple_larray_key_guess(self):
+    #     a = Axis('a', ['a1', 'a2'])
+    #     b = Axis('b', ['b1', 'b2', 'b3'])
+    #     c = Axis('c', ['c1', 'c2', 'c3', 'c4'])
+    #     d = Axis('d', ['d1', 'd2', 'd3', 'd4', 'd5'])
+    #     e = Axis('e', ['e1', 'e2', 'e3', 'e4', 'e5', 'e6'])
+    #
+    #     # 1) key with extra disjoint axes
+    #     arr = ndrange([a, b])
+    #     k1 = LArray(['a1', 'a2', 'a2', 'a1'], [c])
+    #     k2 = LArray(['b1', 'b2', 'b3', 'b1'], [d])
+    #     self.assertEqual(arr[k1, k2].axes, [c, d])
+    #
+    #     # 2) key with common extra axes
+    #     arr = ndrange([a, b])
+    #     k1 = LArray(['a1', 'a2', 'a2', 'a1'], [c, d])
+    #     k2 = LArray(['b1', 'b2', 'b3', 'b1'], [c, e])
+    #     # TODO: not sure what *should* happen in this case!
+    #     self.assertEqual(arr[k1, k2].axes, [c, d, e])
 
     def test_getitem_ndarray_key_guess(self):
         raw = self.array

From fa6bab7caacf0e050971768f12a9d6f69d129677 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 12:31:51 +0100
Subject: [PATCH 143/899] renamed "Ok" button in array/session viewer to
 "Close" added apply/discard buttons in session editor

---
 larray/viewer.py | 62 +++++++++++++++++++++++++++++++++++-------------
 1 file changed, 46 insertions(+), 16 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 213c88475..663c508d4 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1672,11 +1672,16 @@ def setup_and_check(self, data, title='', readonly=False,
         # not using a QDialogButtonBox with standard Ok/Cancel buttons
         # because that makes it impossible to disable the AutoDefault on them
         # (Enter always "accepts"/close the dialog) which is annoying for edit()
-        ok_button = QPushButton("&OK")
-        ok_button.clicked.connect(self.accept)
-        ok_button.setAutoDefault(False)
-        btn_layout.addWidget(ok_button)
-        if not readonly:
+        if readonly:
+            close_button = QPushButton("Close")
+            close_button.clicked.connect(self.reject)
+            close_button.setAutoDefault(False)
+            btn_layout.addWidget(close_button)
+        else:
+            ok_button = QPushButton("&OK")
+            ok_button.clicked.connect(self.accept)
+            ok_button.setAutoDefault(False)
+            btn_layout.addWidget(ok_button)
             cancel_button = QPushButton("Cancel")
             cancel_button.clicked.connect(self.reject)
             cancel_button.setAutoDefault(False)
@@ -1793,8 +1798,33 @@ def setup_and_check(self, data, title='', readonly=False,
             self.eval_box = ipython_widget
             self.eval_box.setMinimumHeight(20)
 
+            arraywidget = self.arraywidget
+            if not readonly:
+                # Buttons configuration
+                btn_layout = QHBoxLayout()
+                btn_layout.addStretch()
+
+                bbox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Discard)
+
+                apply_btn = bbox.button(QDialogButtonBox.Apply)
+                apply_btn.clicked.connect(self.apply_changes)
+
+                discard_btn = bbox.button(QDialogButtonBox.Discard)
+                discard_btn.clicked.connect(self.discard_changes)
+
+                btn_layout.addWidget(bbox)
+
+                arraywidget_layout = QVBoxLayout()
+                arraywidget_layout.addWidget(self.arraywidget)
+                arraywidget_layout.addLayout(btn_layout)
+
+                # you cant add a layout directly in a splitter, so we have to wrap
+                # it in a widget
+                arraywidget = QWidget()
+                arraywidget.setLayout(arraywidget_layout)
+
             right_panel_widget = QSplitter(Qt.Vertical)
-            right_panel_widget.addWidget(self.arraywidget)
+            right_panel_widget.addWidget(arraywidget)
             right_panel_widget.addWidget(self.eval_box)
             right_panel_widget.setSizes([90, 10])
         else:
@@ -1828,13 +1858,9 @@ def setup_and_check(self, data, title='', readonly=False,
             btn_layout = QHBoxLayout()
             btn_layout.addStretch()
 
-            buttons = QDialogButtonBox.Ok
-            if not readonly:
-                buttons |= QDialogButtonBox.Cancel
+            buttons = QDialogButtonBox.Close
             bbox = QDialogButtonBox(buttons)
-            bbox.accepted.connect(self.accept)
-            if not readonly:
-                bbox.rejected.connect(self.reject)
+            bbox.rejected.connect(self.reject)
             btn_layout.addWidget(bbox)
             layout.addLayout(btn_layout)
 
@@ -1930,16 +1956,20 @@ def on_item_changed(self, curr, prev):
         else:
             self.eval_box.setText(expr)
 
-    @Slot()
+    def apply_changes(self):
+        self.arraywidget.accept_changes()
+
+    def discard_changes(self):
+        self.arraywidget.reject_changes()
+
     def accept(self):
         """Reimplement Qt method"""
-        self.arraywidget.accept_changes()
+        self.apply_changes()
         QDialog.accept(self)
 
-    @Slot()
     def reject(self):
         """Reimplement Qt method"""
-        self.arraywidget.reject_changes()
+        self.discard_changes()
         QDialog.reject(self)
 
     def get_value(self):

From d7774e6766144a086db99198b7e09706fc9cb0e9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 12:32:39 +0100
Subject: [PATCH 144/899] CLN: clean up imports

---
 larray/core.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index b3694ef2a..09a47e9a4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -96,8 +96,6 @@
 import sys
 import re
 
-from larray.oset import *
-
 try:
     import builtins
 except ImportError:
@@ -116,6 +114,7 @@
 except ImportError:
     np_nanprod = None
 
+from larray.oset import *
 from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
                           decode, basestring, bytes, izip, rproduct, ReprString,
                           duplicates, array_lookup2, skip_comment_cells,

From 5dcaf3f76cddb811aa0129f6b62794bd84586cf5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 12:50:49 +0100
Subject: [PATCH 145/899] fixed array.to_excel() after upgrade to xlwings 0.9+
 (use open_excel internally)

---
 larray/core.py          | 87 +++++++++--------------------------------
 larray/excel.py         | 85 +++++++++++++++++++++++++++++++---------
 larray/tests/test_la.py | 31 +++++++++------
 3 files changed, 103 insertions(+), 100 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 09a47e9a4..22f427291 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4363,90 +4363,39 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             engine = 'xlwings' if xw is not None else None
 
         if engine == 'xlwings':
-            save = False
+            from .excel import open_excel
+
+            wb = open_excel(filepath, overwrite_file=overwrite_file)
+
             close = False
             new_workbook = False
-            if filepath == -1:
-                wb = xw.Workbook.active()
-            elif filepath is None:
-                # creates a new/blank Workbook
-                wb = xw.Workbook(app_visible=True)
+            if filepath is None:
                 new_workbook = True
-            else:
+            elif isinstance(filepath, str):
                 basename, ext = os.path.splitext(filepath)
                 if ext:
-                    # XXX: we might want to be more precise than .xl* because
-                    #      I am unsure writing anything else than .xlsx will
-                    #      work as intended
-                    if not ext.startswith('.xl'):
-                        raise ValueError("'%s' is not a supported file "
-                                         "extension" % ext)
-
-                    # This is necessary because otherwise we cannot open/save to
-                    # a workbook in the current directory without giving the
-                    # full/absolute path. By doing this, we basically loose the
-                    # ability to target an already open workbook *of a saved
-                    # file* not in the current directory without using its
-                    # path. I can live with that restriction though because you
-                    # usually either work with relative paths or with the
-                    # currently active workbook.
-                    filepath = os.path.abspath(filepath)
-                    save = True
-                    close = not xw.xlplatform.is_file_open(filepath)
-                    if os.path.isfile(filepath) and overwrite_file:
-                        os.remove(filepath)
-
-                    # file already exists (and is a file)
-                    if os.path.isfile(filepath):
-                        # do not change Excel visibility
-                        wb = xw.Workbook(filepath, app_visible=None)
-                    else:
-                        # open new workbook, do not change Excel visibility
-                        wb = xw.Workbook(app_visible=None)
+                    if not os.path.isfile(filepath):
                         new_workbook = True
-                else:
-                    # try to open an existing unsaved workbook
-                    # XXX: I wonder if app_visible=None wouldn't be better in this case?
-                    wb = xw.Workbook(filepath, app_visible=True)
-
-            def sheet_exists(wb, sheet):
-                if isinstance(sheet, int):
-                    length = xw.Sheet.count(wb)
-                    return -length <= sheet < length
-                else:
-                    assert isinstance(sheet_name, str)
-                    sheet_names = [i.name.lower() for i in xw.Sheet.all(wkb=wb)]
-                    return sheet_name.lower() in sheet_names
+                    close = True
 
             if new_workbook:
-                sheet = xw.Sheet(1, wkb=wb)
+                sheet = wb.sheets[0]
                 if sheet_name is not None:
                     sheet.name = sheet_name
-            elif sheet_name is not None and sheet_exists(wb, sheet_name):
-                if isinstance(sheet_name, int):
-                    if sheet_name < 0:
-                        sheet_name += xw.Sheet.count(wb)
-                    sheet_name += 1
-                sheet = xw.Sheet(sheet_name, wkb=wb)
+            elif sheet_name is not None and sheet_name in wb:
+                sheet = wb.sheets[sheet_name]
                 if clear_sheet:
                     sheet.clear()
             else:
-                sheet = xw.Sheet.add(sheet_name, wkb=wb)
+                sheet = wb.sheets.add(sheet_name, after=wb.sheets[-1])
 
             options = dict(header=header, index=header, transpose=transpose)
-            xw.Range(sheet, position).options(**options).value = df
-            if save:
-                wb.save(filepath)
-                if close:
-                    wb.close()
-                # using app.quit() unconditionally is NOT a good idea because
-                # it quits excel even if there are other workbooks open.
-                # XXX: we might want to use:
-                # app = xw.Application(wb)
-                # wbs = xw.xlplatform.get_all_open_xl_workbooks(app.xl_app)
-                # if not wbs:
-                #    app.quit()
-                # but it is not cross-platform (get_all_open_xl...)
+            sheet[position].options(**options).value = df
+            # TODO: implement transpose via/in dump
+            # sheet[position] = self.dump(header=header, transpose=transpose)
+            if close:
+                wb.save()
+                wb.close()
         else:
             if sheet_name is None:
                 sheet_name = 'Sheet1'
diff --git a/larray/excel.py b/larray/excel.py
index ee7cf64d5..e272a7b35 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -34,23 +34,63 @@ def write_value(cls, value, options):
 
 
     class Workbook(object):
-        def __init__(self, filepath, visible=None, app=None, silent=None):
+        def __init__(self, filepath=None, overwrite_file=False, visible=None,
+                     silent=None, app=None):
             """
+            open an Excel workbook
+
             Parameters
             ----------
-            filepath : None, int or str
+            filepath : None, int or str, optional
                 use None for a new blank workbook, -1 for the last active
-                workbook
-            args
-            kwargs
+                workbook. Defaults to None.
+            overwrite_file : bool, optional
+                whether or not to overwrite an existing file, if any.
+                Defaults to False.
+            visible : None or bool, optional
+                whether or not Excel should be visible. Defaults to False for
+                files, True for new/active workbooks and to None ("unchanged")
+                for existing unsaved workbooks.
+            silent : None or bool, optional
+                whether or not to show dialog boxes for updating links or
+                when some links cannot be updated. Defaults to False if
+                visible, True otherwise.
+            app : xlwings.App instance, optional
+                an existing app instance to reuse. Defaults to creating a new
+                Excel instance.
             """
+            xw_wkb = None
+            self.delayed_filepath = None
+            if isinstance(filepath, str):
+                basename, ext = os.path.splitext(filepath)
+                if ext:
+                    # XXX: we might want to be more precise than .xl* because
+                    #      I am unsure writing .xls (or anything other than
+                    #      .xlsx and .xlsm) would work
+                    if not ext.startswith('.xl'):
+                        raise ValueError("'%s' is not a supported file "
+                                         "extension" % ext)
+                    if os.path.isfile(filepath) and overwrite_file:
+                        os.remove(filepath)
+                else:
+                    # try to target an open but unsaved workbook
+                    # we cant use the same code path as for other option
+                    # because we don't know which Excel instance has that book
+                    xw_wkb = xw.Book(filepath)
+                    app = xw_wkb.app
+
             # active workbook use active app by default
             if filepath == -1 and app is None:
                 app = -1
 
-            # unless explicitly set, app is only visible for "active book"
+            # unless explicitly set, app is set to visible for brand new or
+            # active book. For unsaved_book it is left intact.
             if visible is None:
-                visible = filepath == -1
+                if filepath is None or filepath == -1:
+                    visible = True
+                elif xw_wkb is None:
+                    # filepath is not None but we don't target an unsaved book
+                    visible = False
 
             if app is None:
                 app = xw.App(visible=visible, add_book=False)
@@ -79,18 +119,14 @@ def __init__(self, filepath, visible=None, app=None, silent=None):
                 xw_wkb = app.books.add()
             elif filepath == -1:
                 xw_wkb = app.books.active
-            else:
-                basename, ext = os.path.splitext(filepath)
-                if ext:
-                    # XXX: we might want to be more precise than .xl* because
-                    #      I am unsure writing .xls (or anything other than
-                    #      .xlsx and .xlsm) would work
-                    if not ext.startswith('.xl'):
-                        raise ValueError("'%s' is not a supported file "
-                                         "extension" % ext)
-                xw_wkb = app.books.open(filepath)
-                # if os.path.isfile(filepath) and overwrite_file:
-                #     os.remove(filepath)
+            elif xw_wkb is None:
+                # file already exists (and is a file)
+                if os.path.isfile(filepath):
+                    xw_wkb = app.books.open(filepath)
+                else:
+                    # let us remember the path
+                    self.delayed_filepath = filepath
+                    xw_wkb = app.books.add()
 
             if silent:
                 app.api.AskToUpdateLinks = update_links_backup
@@ -110,6 +146,10 @@ def __contains__(self, key):
                 length = len(self)
                 return -length <= key < length
             else:
+                # I would like to use:
+                # return key in wb.sheets
+                # but as of xlwings 0.10 wb.sheets.__contains__ does not work
+                # for sheet names (it works with Sheet objects I think)
                 return key in self.sheet_names()
 
         def __getitem__(self, key):
@@ -140,6 +180,13 @@ def __setitem__(self, key, value):
         def sheet_names(self):
             return [s.name for s in self]
 
+        def save(self, path=None):
+            # saved_path = self.xw_wkb.api.Path
+            # was_saved = saved_path != ''
+            if path is None and self.delayed_filepath is not None:
+                path = self.delayed_filepath
+            self.xw_wkb.save(path=path)
+
         def close(self):
             """
             Close the workbook in Excel. If this was the last workbook of
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 311415da4..d47edfe47 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2652,18 +2652,6 @@ def test_extend(self):
         la = la.extend('sex', la.sum(sex=(sex.all(),)))
         self.assertEqual(la.shape, (3, 16))
 
-    # def test_excel_export(self):
-    #     la = self.larray
-    #     age, geo, sex, lipro = la.axes
-    #
-    #     reg = la.sum(age, sex, geo=(self.vla, self.wal, self.bru, self.belgium))
-    #     self.assertEqual(reg.shape, (4, 15))
-    #
-    #     print("excel export", end='')
-    #     reg.to_excel('c:\\tmp\\reg.xlsx', '_')
-    #     #ages.to_excel('c:/tmp/ages.xlsx')
-    #     print("done")
-
     def test_readcsv(self):
         la = read_csv(abspath('test1d.csv'))
         self.assertEqual(la.ndim, 1)
@@ -2919,6 +2907,25 @@ def test_plot(self):
         #large.plot()
         #large.hist()
 
+    def test_to_excel(self):
+        a = ndrange('a=a1,a2,a3')
+        b = ndrange('a=a1,a2,a3;b=b1,b2')
+
+        # Book1/Sheet1/A1
+        a.to_excel()
+        # Book2/Sheet1/A1
+        a.to_excel(transpose=True)
+        # Book1/Sheet2/A1
+        b.to_excel('Book1')
+        # Book1/Sheet1/A10
+        b.to_excel('Book1', 'Sheet1', 'A10')
+        # b.xlsx/Sheet1/A1
+        b.to_excel('c:/tmp/b.xlsx', overwrite_file=True)
+        # b.xlsx/YADA/A1
+        b.to_excel('c:/tmp/b.xlsx', 'YADA')
+        # b.xlsx/Sheet1/A10
+        b.to_excel('c:/tmp/b.xlsx', 'Sheet1', 'A10')
+
 
 if __name__ == "__main__":
     import doctest

From 6fcf8418b9e0c81ad70ac9fa18fbe60b732ee67d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 12:51:52 +0100
Subject: [PATCH 146/899] commented to_excel test for travis

---
 larray/tests/test_la.py | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index d47edfe47..8a8c1b14f 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2907,24 +2907,24 @@ def test_plot(self):
         #large.plot()
         #large.hist()
 
-    def test_to_excel(self):
-        a = ndrange('a=a1,a2,a3')
-        b = ndrange('a=a1,a2,a3;b=b1,b2')
-
-        # Book1/Sheet1/A1
-        a.to_excel()
-        # Book2/Sheet1/A1
-        a.to_excel(transpose=True)
-        # Book1/Sheet2/A1
-        b.to_excel('Book1')
-        # Book1/Sheet1/A10
-        b.to_excel('Book1', 'Sheet1', 'A10')
-        # b.xlsx/Sheet1/A1
-        b.to_excel('c:/tmp/b.xlsx', overwrite_file=True)
-        # b.xlsx/YADA/A1
-        b.to_excel('c:/tmp/b.xlsx', 'YADA')
-        # b.xlsx/Sheet1/A10
-        b.to_excel('c:/tmp/b.xlsx', 'Sheet1', 'A10')
+    # def test_to_excel(self):
+    #     a = ndrange('a=a1,a2,a3')
+    #     b = ndrange('a=a1,a2,a3;b=b1,b2')
+    #
+    #     # Book1/Sheet1/A1
+    #     a.to_excel()
+    #     # Book2/Sheet1/A1
+    #     a.to_excel(transpose=True)
+    #     # Book1/Sheet2/A1
+    #     b.to_excel('Book1')
+    #     # Book1/Sheet1/A10
+    #     b.to_excel('Book1', 'Sheet1', 'A10')
+    #     # b.xlsx/Sheet1/A1
+    #     b.to_excel('c:/tmp/b.xlsx', overwrite_file=True)
+    #     # b.xlsx/YADA/A1
+    #     b.to_excel('c:/tmp/b.xlsx', 'YADA')
+    #     # b.xlsx/Sheet1/A10
+    #     b.to_excel('c:/tmp/b.xlsx', 'Sheet1', 'A10')
 
 
 if __name__ == "__main__":

From 4b60900e1049832f0d76462f8fe184fb199915a9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 12:56:08 +0100
Subject: [PATCH 147/899] bump version to 0.16.1

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 2 +-
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 624c1926a..648b327ff 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.16
+  version: 0.16.1
 
 source:
-  git_tag: 0.16
+  git_tag: 0.16.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index dde33b8bc..a9d0a1f24 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -70,7 +70,7 @@
 # The short X.Y version.
 version = '0.16'
 # The full version, including alpha/beta/rc tags.
-release = '0.16'
+release = '0.16.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 22f427291..87fbb4f63 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.16"
+__version__ = "0.16.1"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index 789b3409a..b41af26f2 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.16'
+VERSION = '0.16.1'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 4148af33d86d0100181544466d2247a487dad39f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 14:11:54 +0100
Subject: [PATCH 148/899] fixed a[sequence, scalar] = value

improved a few tests
---
 larray/core.py          | 99 +++++++++++++++++++++++++++--------------
 larray/tests/test_la.py | 27 +++++++++--
 2 files changed, 88 insertions(+), 38 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 87fbb4f63..6e15c5e43 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1981,7 +1981,7 @@ def __getitem__(self, key):
         # TODO: this should generate an "intersection"/points NDGroup and simply
         #       do return self.array[nd_group]
         data = np.asarray(self.array)
-        translated_key = self.array.translated_key(key, bool_stuff=True)
+        translated_key = self.array._translated_key(key, bool_stuff=True)
 
         axes = self.array._bool_key_new_axes(translated_key)
         data = data[translated_key]
@@ -2464,7 +2464,7 @@ def _guess_axis(self, axis_key):
         return valid_axes[0][axis_key]
 
     # TODO: move this to AxisCollection
-    def translated_key(self, key, bool_stuff=False):
+    def _translated_key(self, key, bool_stuff=False):
         """Complete and translate key
 
         Parameters
@@ -2570,31 +2570,17 @@ def translated_key(self, key, bool_stuff=False):
     # TODO: we only need axes length => move this to AxisCollection
     # (but this backend/numpy-specific so we'll probably need to create a
     #  subclass of it)
-    def cross_key(self, key, collapse_slices=False):
+    def _cross_key(self, key):
         """
         :param key: a complete (contains all dimensions) index-based key
         :param collapse_slices: convert contiguous ranges to slices
         :return: a key for indexing the cross product
         """
-        # isinstance(ndarray, collections.Sequence) is False but it
-        # behaves like one
-        sequence = (tuple, list, np.ndarray)
-        if collapse_slices:
-            key = [range_to_slice(axis_key, len(axis))
-                   if isinstance(axis_key, sequence)
-                   else axis_key
-                   for axis_key, axis in zip(key, self.axes)]
-
-        # count number of indexing arrays (ie non scalar/slices) in tuple
-        num_ix_arrays = sum(isinstance(axis_key, sequence) for axis_key in key)
-        num_scalars = sum(np.isscalar(axis_key) for axis_key in key)
-        num_slices = sum(isinstance(axis_key, slice) for axis_key in key)
-        assert len(key) == num_ix_arrays + num_scalars + num_slices
 
         # handle advanced indexing with more than one indexing array:
         # basic indexing (only integer and slices) and advanced indexing
         # with only one indexing array are handled fine by numpy
-        if num_ix_arrays > 1 or (num_ix_arrays > 0 and num_scalars):
+        if self._needs_advanced_indexing(key):
             # np.ix_ wants only lists so:
 
             # 1) transform scalar-key to lists of 1 element. In that case,
@@ -2624,6 +2610,24 @@ def cross_key(self, key, collapse_slices=False):
         else:
             return tuple(key)
 
+    def _needs_advanced_indexing(self, key):
+        sequence = (tuple, list, np.ndarray)
+        # count number of indexing arrays (ie non scalar/slices) in tuple
+        num_ix_arrays = sum(isinstance(axis_key, sequence) for axis_key in key)
+        num_scalars = sum(np.isscalar(axis_key) for axis_key in key)
+        num_slices = sum(isinstance(axis_key, slice) for axis_key in key)
+        assert len(key) == num_ix_arrays + num_scalars + num_slices
+        return num_ix_arrays > 1 or (num_ix_arrays > 0 and num_scalars)
+
+    def _collapse_slices(self, key):
+        # isinstance(ndarray, collections.Sequence) is False but it
+        # behaves like one
+        sequence = (tuple, list, np.ndarray)
+        return [range_to_slice(axis_key, len(axis))
+                if isinstance(axis_key, sequence)
+                else axis_key
+                for axis_key, axis in zip(key, self.axes)]
+
     def __getitem__(self, key, collapse_slices=False):
         # move this to getattr
         # if isinstance(key, str) and key in ('__array_struct__',
@@ -2633,7 +2637,10 @@ def __getitem__(self, key, collapse_slices=False):
             key = key.evaluate(self.axes)
 
         data = np.asarray(self.data)
-        translated_key = self.translated_key(key)
+        # XXX: I think I should split this into complete_key and translate_key
+        # because for LArray keys I need a complete key with axes for subaxis
+        #
+        translated_key = self._translated_key(key)
 
         # FIXME: I have a huge problem with boolean labels + non points
         if isinstance(key, (LArray, np.ndarray)) and \
@@ -2660,15 +2667,18 @@ def __getitem__(self, key, collapse_slices=False):
                 for axis, axis_key in zip(self.axes, translated_key)
                 if not np.isscalar(axis_key)]
 
-        cross_key = self.cross_key(translated_key, collapse_slices)
+        if collapse_slices:
+            translated_key = self._collapse_slices(translated_key)
+        cross_key = self._cross_key(translated_key)
         data = data[cross_key]
         if not axes:
             # scalars do not need to be wrapped in LArray
             return data
         else:
             # drop length 1 dimensions created by scalar keys
-            data = data.reshape(tuple(len(axis) for axis in axes))
-            return LArray(data, axes)
+            res_data = data.reshape(tuple(len(axis) for axis in axes))
+            assert _equal_modulo_len1(data.shape, res_data.shape)
+            return LArray(res_data, axes)
 
     def __setitem__(self, key, value, collapse_slices=True):
         # TODO: if key or value has more axes than self, we should use
@@ -2696,7 +2706,7 @@ def __setitem__(self, key, value, collapse_slices=True):
             key = key.evaluate(self.axes)
 
         data = np.asarray(self.data)
-        translated_key = self.translated_key(key)
+        translated_key = self._translated_key(key)
 
         if isinstance(key, (LArray, np.ndarray)) and \
                 np.issubdtype(key.dtype, np.bool_):
@@ -2707,18 +2717,31 @@ def __setitem__(self, key, value, collapse_slices=True):
             data[translated_key] = value
             return
 
-        # XXX: we might want to create fakes (or wildcard?) axes in this case,
-        # as we only use axes names and axes length, not the ticks, and those
-        # could theoretically take a significant time to compute
-        axes = [axis.subaxis(axis_key)
-                for axis, axis_key in zip(self.axes, translated_key)
-                if not np.isscalar(axis_key)]
-
-        cross_key = self.cross_key(translated_key, collapse_slices)
+        if collapse_slices:
+            translated_key = self._collapse_slices(translated_key)
+        cross_key = self._cross_key(translated_key)
+
+        if isinstance(value, LArray):
+            # XXX: we might want to create fakes (or wildcard?) axes in this case,
+            # as we only use axes names and axes length, not the ticks, and those
+            # could theoretically take a significant time to compute
+            if self._needs_advanced_indexing(translated_key):
+                # when adv indexing is needed, cross_key converts scalars to lists
+                # of 1 element, which does not remove the dimension like scalars
+                # normally do
+                axes = [axis.subaxis(axis_key) if not np.isscalar(axis_key)
+                        else Axis(axis.name, 1)
+                        for axis, axis_key in zip(self.axes, translated_key)]
+            else:
+                axes = [axis.subaxis(axis_key)
+                        for axis, axis_key in zip(self.axes, translated_key)
+                        if not np.isscalar(axis_key)]
+            value = value.broadcast_with(axes)
+        else:
+            # if value is a "raw" ndarray we rely on numpy broadcasting
+            pass
 
-        # if value is a "raw" ndarray we rely on numpy broadcasting
-        data[cross_key] = value.broadcast_with(axes) \
-            if isinstance(value, LArray) else value
+        data[cross_key] = value
 
     def _bool_key_new_axes(self, key, wildcard_allowed=False):
         """
@@ -6091,6 +6114,14 @@ def get_axes(value):
     return value.axes if isinstance(value, LArray) else AxisCollection([])
 
 
+def _strip_shape(shape):
+    return tuple(s for s in shape if s != 1)
+
+
+def _equal_modulo_len1(shape1, shape2):
+    return _strip_shape(shape1) == _strip_shape(shape2)
+
+
 # assigning a temporary name to anonymous axes before broadcasting and
 # removing it afterwards is not a good idea after all because it copies the
 # axes/change the object, and thus "flatten" wouldn't work with position axes:
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 8a8c1b14f..2df10552a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -836,9 +836,16 @@ def test_getitem(self):
         assert_array_equal(la[lipro159], raw[..., [0, 4, 8]])
 
         # multiple LGroup key (in "incorrect" order)
-        assert_array_equal(la[lipro159, age159],
+        res = la[lipro159, age159]
+        self.assertEqual(res.axes.names, ['age', 'geo', 'sex', 'lipro'])
+        assert_array_equal(res,
                            raw[[1, 5, 9]][..., [0, 4, 8]])
 
+        # LGroup key and scalar
+        res = la[lipro159, 5]
+        self.assertEqual(res.axes.names, ['geo', 'sex', 'lipro'])
+        assert_array_equal(res, raw[..., [0, 4, 8]][5])
+
         # mixed LGroup/positional key
         assert_array_equal(la[[1, 5, 9], lipro159],
                            raw[[1, 5, 9]][..., [0, 4, 8]])
@@ -1343,14 +1350,26 @@ def test_setitem_larray(self):
         raw[[1, 5, 9]] = np.sum(raw[[1, 5, 9]], axis=1, keepdims=True)
         assert_array_equal(la, raw)
 
-        # 2) using a string key
+        # 2) using a LGroup and scalar key (triggers advanced indexing/cross)
+
+        # a) value has exactly the same shape as the target slice
+        la = self.larray.copy()
+        raw = self.array.copy()
+
+        # using 1, 5, 8 and not 9 so that the list is not collapsed to slice
+        value = la[age[1, 5, 8], sex['H']] + 25.0
+        la[age[1, 5, 8], sex['H']] = value
+        raw[[1, 5, 8], :, 0] = raw[[1, 5, 8], :, 0] + 25.0
+        assert_array_equal(la, raw)
+
+        # 3) using a string key
         la = self.larray.copy()
         raw = self.array.copy()
         la[[1, 5, 9]] = la[[2, 7, 3]] + 27.0
         raw[[1, 5, 9]] = raw[[2, 7, 3]] + 27.0
         assert_array_equal(la, raw)
 
-        # 3) using ellipsis keys
+        # 4) using ellipsis keys
         # only Ellipsis
         la = self.larray.copy()
         la[...] = 0
@@ -1363,7 +1382,7 @@ def test_setitem_larray(self):
         raw[..., [0, 4, 8]] = 0
         assert_array_equal(la, raw)
 
-        # 4) using a single slice(None) key
+        # 5) using a single slice(None) key
         la = self.larray.copy()
         la[:] = 0
         assert_array_equal(la, np.zeros_like(raw))

From 9b051ad0f90d677c5a3526663f2c0c7ade4f4781 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 4 Nov 2016 14:35:27 +0100
Subject: [PATCH 149/899] fix viewer after 0.16.1 small refactor

---
 larray/viewer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 663c508d4..97014c1ce 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1501,7 +1501,7 @@ def map_global_to_filtered(self, k, filtered):
 
         # transform local label key to local index key
         try:
-            index_key = filtered.translated_key(dkey)
+            index_key = filtered._translated_key(dkey)
         except ValueError:
             return None
 

From f96ca4a546b949a6131b6aa030218fb69ed58880 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 10 Nov 2016 16:28:21 +0100
Subject: [PATCH 150/899] bump version to 0.16.2

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 2 +-
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 648b327ff..6612046a8 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.16.1
+  version: 0.16.2
 
 source:
-  git_tag: 0.16.1
+  git_tag: 0.16.2
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index a9d0a1f24..eb2576bee 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -70,7 +70,7 @@
 # The short X.Y version.
 version = '0.16'
 # The full version, including alpha/beta/rc tags.
-release = '0.16.1'
+release = '0.16.2'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 6e15c5e43..20b6df2cd 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.16.1"
+__version__ = "0.16.2"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index b41af26f2..de37cbbfa 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.16.1'
+VERSION = '0.16.2'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 2134f9f35bb8c74fcb57b38458885af3b0ea1544 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 10 Nov 2016 16:33:25 +0100
Subject: [PATCH 151/899] improved messages in ipfp(display_progress=True)

---
 larray/ipfp.py | 25 +++++++++++++++----------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 8a2fc5a52..2142e20fc 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -169,16 +169,19 @@ def rename_axis(axis, name):
             factor = axis_target.divnot0(axis_sum)
             r *= factor
         stepcelldiff = abs(r - startr).max()
-        maxsumdiff = max(abs(r.sum(axis=dim) - axis_target).max()
+        max_sum_diff = max(abs(r.sum(axis=dim) - axis_target).max()
                          for dim, axis_target in enumerate(target_sums))
-        stepsumimprovement = lastdiffs[-1] - maxsumdiff
+        step_sum_improvement = lastdiffs[-1] - max_sum_diff
 
         if display_progress:
-            print("it %d cell diff %s sum diff to target %s (%s)" %
-                  (i, f2str(stepcelldiff), f2str(maxsumdiff),
-                   f2str(stepsumimprovement)))
-
-        if np.all(np.array(lastdiffs) == maxsumdiff):
+            print("""iteration %d
+ * max(abs(prev_cell - cell)): %s
+ * max(abs(sum - target_sum)): %s
+   \- change since last iteration: %s
+""" % (i, f2str(stepcelldiff), f2str(max_sum_diff),
+       f2str(step_sum_improvement)))
+
+        if np.all(np.array(lastdiffs) == max_sum_diff):
             if no_convergence in {'warn', 'raise'}:
                 warn_or_raise(no_convergence,
                               "does not seem to converge (no improvement "
@@ -186,12 +189,14 @@ def rename_axis(axis, name):
                               % stepstoabort)
             return r
 
-        if maxsumdiff < threshold:
+        if max_sum_diff < threshold:
             if display_progress:
-                print("acceptable threshold found at iteration:", i)
+                print("acceptable max(abs(sum - target_sum)) found at "
+                      "iteration {}: {} < threshold ({})"
+                      .format(i, f2str(max_sum_diff), threshold))
             return r
 
-        lastdiffs.append(maxsumdiff)
+        lastdiffs.append(max_sum_diff)
 
     if no_convergence in {'warn', 'raise'}:
         warn_or_raise(no_convergence,

From bcaa5edb39d5292323bb035947ac0e8b012fa3fa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 10 Nov 2016 16:34:11 +0100
Subject: [PATCH 152/899] fixed ipfp progress message when progress is negative

---
 larray/ipfp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 2142e20fc..b7716407b 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -17,7 +17,7 @@ def f2str(f, threshold=2):
     notation if f would have more than threshold decimal digits, otherwise
     use threshold as precision.
     """
-    kind = "e" if f and math.log10(1 / f) > threshold else "f"
+    kind = "e" if f and math.log10(1 / abs(f)) > threshold else "f"
     format_str = "%%.%d%s" % (threshold, kind)
     return format_str % f
 

From 83bf52085ef9ff0ad3fd0c35067c397acb80761f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Nov 2016 18:19:21 +0100
Subject: [PATCH 153/899] added ndtest function

---
 larray/core.py | 48 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 20b6df2cd..ca94add64 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -11,6 +11,7 @@
     'x',
     'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
+    'ndtest',
     'identity', 'diag', 'eye',
     'larray_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
@@ -5676,6 +5677,53 @@ def ndrange(axes, start=0, dtype=int):
     return LArray(data.reshape(axes.shape), axes)
 
 
+def ndtest(shape, start=0, dtype=int, label_start=0):
+    """Return test array with given shape.
+    Axes are named by single letters starting from 'a'. Axes labels are
+    constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). Values
+    start from `start` increase by steps of 1.
+
+    Parameters
+    ----------
+    shape : int, tuple or list
+        shape of the array to create. An int can be used directly for one
+        dimensional arrays.
+    start : int or float, optional
+        start value
+    label_start : int, optional
+        label_pos for each axis is `label_start + position`. `label_start`
+        defaults to 0.
+    dtype : type or np.dtype, optional
+        type of resulting array.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> ndtest(6)
+    a | a0 | a1 | a2 | a3 | a4 | a5
+      |  0 |  1 |  2 |  3 |  4 |  5
+    >>> ndtest((2, 3))
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> ndtest((2, 3), label_start=1)
+    a\\b | b1 | b2 | b3
+     a1 |  0 |  1 |  2
+     a2 |  3 |  4 |  5
+    """
+    a = ndrange(shape, start=start, dtype=dtype)
+    assert a.ndim <= 26
+    axes_names = [chr(ord('a') + i) for i in range(a.ndim)]
+    label_ranges = [range(label_start, label_start + length)
+                    for length in a.shape]
+    new_axes = [Axis(name, [name + str(i) for i in label_range])
+                for name, label_range in zip(axes_names, label_ranges)]
+    return a.with_axes(new_axes)
+
+
 def kth_diag_indices(shape, k):
     indices = np.diag_indices(min(shape), ndim=len(shape))
     if len(shape) == 2 and k != 0:

From 5e0e265087d9a41bf9084ec5432fb4f2ebf01e17 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Nov 2016 18:24:26 +0100
Subject: [PATCH 154/899] mention in docstring of argsort and posargsort that
 the axis can be omitted only if ndim == 1

---
 larray/core.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index ca94add64..8bf6c1cb1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3481,7 +3481,8 @@ def argsort(self, axis=None, kind='quicksort'):
         Parameters
         ----------
         axis : int or str or Axis, optional
-            Axis along which to sort.
+            Axis along which to sort. This can be omitted if array has only
+            one axis.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3527,7 +3528,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         Parameters
         ----------
         axis : int or str or Axis, optional
-            Axis along which to sort.
+            Axis along which to sort. This can be omitted if array has only
+            one axis.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 

From e79c407167032586e25449278cef95be3004cb12 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Nov 2016 18:59:50 +0100
Subject: [PATCH 155/899] implemented argmin, argmax, posargmin, posargmax
 without an axis argument (works on the full array)

---
 larray/core.py | 87 +++++++++++++++++++++++++++++++++++++-------------
 1 file changed, 65 insertions(+), 22 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8bf6c1cb1..a0c166143 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3348,19 +3348,24 @@ def with_total(self, *args, **kwargs):
     # and
     # arr[arr.argmin(x.sex)]
     # should both be equal to arr.min(x.sex)
-    def argmin(self, axis):
+    def argmin(self, axis=None):
         """
         Return labels of the minimum values along the given axis of `a`.
 
         Parameters
         ----------
-        axis : int or str or Axis
-            Axis along which to work.
+        axis : int or str or Axis, optional
+            Axis along which to work. If not specified, works on the full array.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        In case of multiple occurrences of the minimum values, the indices
+        corresponding to the first occurrence are returned.
+
         Example
         -------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
@@ -3374,24 +3379,35 @@ def argmin(self, axis):
         >>> arr.argmin(x.sex)
         nat | BE | FR | IT
             |  M |  F |  M
+        >>> arr.argmin()
+        ('BE', 'M')
         """
-        axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        data = axis.labels[self.data.argmin(axis_idx)]
-        return LArray(data, self.axes - axis)
+        if axis is not None:
+            axis, axis_idx = self.axes[axis], self.axes.index(axis)
+            data = axis.labels[self.data.argmin(axis_idx)]
+            return LArray(data, self.axes - axis)
+        else:
+            indices = np.unravel_index(self.data.argmin(), self.shape)
+            return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
-    def posargmin(self, axis):
+    def posargmin(self, axis=None):
         """
         Return indices of the minimum values along the given axis of `a`.
 
         Parameters
         ----------
-        axis : int or str or Axis
-            Axis along which to work.
+        axis : int or str or Axis, optional
+            Axis along which to work. If not specified, works on the full array.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        In case of multiple occurrences of the minimum values, the indices
+        corresponding to the first occurrence are returned.
+
         Example
         -------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
@@ -3405,23 +3421,33 @@ def posargmin(self, axis):
         >>> arr.posargmin(x.sex)
         nat | BE | FR | IT
             |  0 |  1 |  0
+        >>> arr.posargmin()
+        (0, 0)
         """
-        axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        return LArray(self.data.argmin(axis_idx), self.axes - axis)
+        if axis is not None:
+            axis, axis_idx = self.axes[axis], self.axes.index(axis)
+            return LArray(self.data.argmin(axis_idx), self.axes - axis)
+        else:
+            return np.unravel_index(self.data.argmin(), self.shape)
 
-    def argmax(self, axis):
+    def argmax(self, axis=None):
         """
         Return labels of the maximum values along the given axis of `a`.
 
         Parameters
         ----------
-        axis : int or str or Axis
-            Axis along which to work.
+        axis : int or str or Axis, optional
+            Axis along which to work. If not specified, works on the full array.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        In case of multiple occurrences of the maximum values, the labels
+        corresponding to the first occurrence are returned.
+
         Example
         -------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
@@ -3435,24 +3461,35 @@ def argmax(self, axis):
         >>> arr.argmax(x.sex)
         nat | BE | FR | IT
             |  F |  M |  F
+        >>> arr.argmax()
+        ('IT', 'F')
         """
-        axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        data = axis.labels[self.data.argmax(axis_idx)]
-        return LArray(data, self.axes - axis)
+        if axis is not None:
+            axis, axis_idx = self.axes[axis], self.axes.index(axis)
+            data = axis.labels[self.data.argmax(axis_idx)]
+            return LArray(data, self.axes - axis)
+        else:
+            indices = np.unravel_index(self.data.argmax(), self.shape)
+            return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
-    def posargmax(self, axis):
+    def posargmax(self, axis=None):
         """
         Return indices of the maximum values along the given axis of `a`.
 
         Parameters
         ----------
-        axis : int or str or Axis
-            Axis along which to work.
+        axis : int or str or Axis, optional
+            Axis along which to work. If not specified, works on the full array.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        In case of multiple occurrences of the maximum values, the labels
+        corresponding to the first occurrence are returned.
+
         Example
         -------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
@@ -3466,9 +3503,15 @@ def posargmax(self, axis):
         >>> arr.posargmax(x.sex)
         nat | BE | FR | IT
             |  1 |  0 |  1
+        >>> arr.posargmax()
+        (2, 1)
         """
-        axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        return LArray(self.data.argmax(axis_idx), self.axes - axis)
+        if axis is not None:
+            axis, axis_idx = self.axes[axis], self.axes.index(axis)
+            return LArray(self.data.argmax(axis_idx), self.axes - axis)
+        else:
+            return np.unravel_index(self.data.argmax(), self.shape)
+
 
     def argsort(self, axis=None, kind='quicksort'):
         """

From 25264cfd0c229daf3433088ed9d115b74efb3491 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 23 Nov 2016 07:52:47 +0100
Subject: [PATCH 156/899] added title attribute to LArray

---
 larray/core.py | 18 ++++++++++++++----
 1 file changed, 14 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a0c166143..715cbbad3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2037,10 +2037,18 @@ def aslarray(a):
 
 
 class LArray(object):
-    """
-    LArray class
-    """
-    def __init__(self, data, axes=None):
+    def __init__(self, data, axes=None, title: str = ''):
+        """
+        Parameters
+        ----------
+        data : scalar, tuple, list or np.ndarray
+            data
+        axes : collection (tuple, list or AxisCollection) of axes (int,
+        str or  Axis), optional
+            axes
+        title : str, optional
+            title of array
+        """
         data = np.asarray(data)
         ndim = data.ndim
         if axes is None:
@@ -2058,7 +2066,9 @@ def __init__(self, data, axes=None):
 
         object.__setattr__(self, 'data', data)
         object.__setattr__(self, 'axes', axes)
+        object.__setattr__(self, 'title', title)
 
+    # XXX: rename to posnonzero and implement a label version of nonzero
     def nonzero(self):
         # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]

From badadff3997d2bf683cd28deede206446804132b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 23 Nov 2016 07:56:20 +0100
Subject: [PATCH 157/899] added Session.summary() which displays a list of all
 arrays, their dimension names and title for the array, if any

---
 larray/session.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/larray/session.py b/larray/session.py
index 5c2f2774b..c46c924c3 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -415,6 +415,13 @@ def compact(self, display=False):
             new_items.append((k, compacted))
         return Session(new_items)
 
+    def summary(self, template=None):
+        if template is None:
+            template = "{name}: {axes_names}\n    {title}\n"
+        return '\n'.join(template.format(name=k,
+                                         axes_names=', '.join(v.axes.names),
+                                         title=v.title)
+                         for k, v in self.items())
 
 def local_arrays(depth=0):
     # noinspection PyProtectedMember

From c78b798362e9a56bd6f0eb18d1f3896c2ae34f44 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 23 Nov 2016 08:03:37 +0100
Subject: [PATCH 158/899] added test for Session.summary()

---
 larray/tests/test_session.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index bb983a886..cde0a3b7e 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -213,6 +213,14 @@ def test_div(self):
         assert_array_nan_equal(res['f'], flat_f.reshape(3, 2))
         self.assertTrue(isnan(res['g']).all())
 
+    def test_summary(self):
+        sess = self.session.filter(kind=LArray)
+        self.assertEqual(sess.summary(),
+                         "e: a0, a1\n    \n\n"
+                         "f: a0, a1\n    \n\n"
+                         "g: a0, a1\n    \n")
+
+
 if __name__ == "__main__":
     # import doctest
     # doctest.testmod(larray.core)

From 1808de8f0867330f3ffb7c75235d02000f6b617d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 25 Nov 2016 11:53:21 +0100
Subject: [PATCH 159/899] bump version to 0.17

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 6612046a8..325d322af 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.16.2
+  version: 0.17
 
 source:
-  git_tag: 0.16.2
+  git_tag: 0.17
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index eb2576bee..7b69c5ddd 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.16'
+version = '0.17'
 # The full version, including alpha/beta/rc tags.
-release = '0.16.2'
+release = '0.17'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 715cbbad3..dd9c693be 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.16.2"
+__version__ = "0.17"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup',
diff --git a/setup.py b/setup.py
index de37cbbfa..c85b0e564 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.16.2'
+VERSION = '0.17'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 507e3e27e540eee5564105cce2483399986581fd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 25 Nov 2016 11:57:28 +0100
Subject: [PATCH 160/899] CLN: pep8

---
 larray/session.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/session.py b/larray/session.py
index c46c924c3..7e51d8f83 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -423,6 +423,7 @@ def summary(self, template=None):
                                          title=v.title)
                          for k, v in self.items())
 
+
 def local_arrays(depth=0):
     # noinspection PyProtectedMember
     d = sys._getframe(depth + 1).f_locals

From de9440bbccc3b1fa47dd40d99e6f94ea1b00e53c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 25 Nov 2016 12:41:52 +0100
Subject: [PATCH 161/899] use Python2-compatible type annotation

---
 larray/core.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index dd9c693be..848842c0d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2037,7 +2037,11 @@ def aslarray(a):
 
 
 class LArray(object):
-    def __init__(self, data, axes=None, title: str = ''):
+    def __init__(self,
+                 data,
+                 axes=None,
+                 title=''   # type: str
+                 ):
         """
         Parameters
         ----------

From 999025a2b9a9270cda66ff3549c46fddd702a45c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 25 Nov 2016 13:50:45 +0100
Subject: [PATCH 162/899] fixed axis[another_label_group] when said group had a
 non-string Axis fixed axis.group(another_label_group, name='a_name') (name
 was not set correctly)

---
 larray/core.py          |  9 ++-------
 larray/tests/test_la.py | 36 +++++++++++++++++++++++++++++++-----
 2 files changed, 33 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 848842c0d..aadbc60d1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -543,13 +543,8 @@ def group(self, *args, **kwargs):
                              % list(kwargs.keys()))
         key = args[0] if len(args) == 1 else args
         if isinstance(key, LGroup):
-            # XXX: I am not sure this test even makes sense. eg if we have two
-            # axes arr_from and arr_to, we might want to reuse groups
-            if key.axis != self.name:
-                raise ValueError("cannot subset an axis with a LGroup of "
-                                 "an incompatible axis")
-            # FIXME: we should respect the given name (overrides key.name)
-            return key
+            name = name if name is not None else key.name
+            key = key.key
         return LGroup(key, name, self)
 
     def all(self, name=None):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 2df10552a..12789a2b3 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -161,11 +161,37 @@ def test_group(self):
         self.assertEqual(group.name, 'teens')
         self.assertIs(group.axis, age)
 
-        # TODO: support more stuff in string groups
-        # arr3x = geo.group('A3*') # * match one or more chars
-        # arr3x = geo.group('A3?') # ? matches one char (equivalent in this case)
-        # arr3x = geo.seq('A31', 'A38') # not equivalent to geo['A31:A38'] !
-        #                               # (if A22 is between A31 and A38)
+    def test_group_using_lgroup(self):
+        def group_equal(g1, g2):
+            return (g1.key == g2.key and g1.name == g2.name and
+                    g1.axis is g2.axis)
+
+        age = Axis('age', range(100))
+        ages = [1, 5, 9]
+
+        val_only = LGroup(ages)
+        self.assertTrue(group_equal(age.group(val_only),
+                                    LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age.group(val_only, name='a_name'),
+                                    LGroup(ages, 'a_name', axis=age)))
+
+        val_name = LGroup(ages, 'val_name')
+        self.assertTrue(group_equal(age.group(val_name),
+                                    LGroup(ages, 'val_name', age)))
+        self.assertTrue(group_equal(age.group(val_name, name='a_name'),
+                                    LGroup(ages, 'a_name', age)))
+
+        val_axis = LGroup(ages, axis=age)
+        self.assertTrue(group_equal(age.group(val_axis),
+                                    LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age.group(val_axis, name='a_name'),
+                                    LGroup(ages, 'a_name', axis=age)))
+
+        val_axis_name = LGroup(ages, 'val_axis_name', age)
+        self.assertTrue(group_equal(age.group(val_axis_name),
+                                    LGroup(ages, 'val_axis_name', age)))
+        self.assertTrue(group_equal(age.group(val_axis_name, name='a_name'),
+                                    LGroup(ages, 'a_name', age)))
 
     def test_match(self):
         sutcode = Axis('sutcode', ['A23', 'A2301', 'A25', 'A2501'])

From a5c738a8e450ef6de62d8aa601eabe619d7810fe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 08:55:53 +0100
Subject: [PATCH 163/899] fixed group aggregates using LGroups without axis

---
 larray/core.py          | 12 +++++---
 larray/tests/test_la.py | 64 +++++++++++++++++++++++++++++++++++++++++
 2 files changed, 72 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index aadbc60d1..195459d0b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2448,7 +2448,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
 
     def _guess_axis(self, axis_key):
         if isinstance(axis_key, Group):
-            return axis_key
+            group_axis = axis_key.axis
+            # XXX: what if group_axis is an Axis not in self.axes (but
+            # compatible with them)? It should work, but might break now.
+            if isinstance(group_axis, Axis):
+                return axis_key
+            elif group_axis is not None:
+                return axis_key.with_axis(self.axes[group_axis])
 
         # TODO: instead of checking all axes, we should have a big mapping
         # (in AxisCollection or LArray):
@@ -3250,9 +3256,7 @@ def to_labelgroup(key):
                     raise ValueError("group with different axes: %s"
                                      % str(key))
                 return groups
-            if isinstance(key, Group):
-                return key
-            elif isinstance(key, (int, basestring, list, slice)):
+            if isinstance(key, (Group, int, basestring, list, slice)):
                 return self._guess_axis(key)
             else:
                 raise NotImplementedError("%s has invalid type (%s) for a "
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 12789a2b3..3063cf231 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1973,6 +1973,70 @@ def test_group_agg_label_group(self):
         reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         self.assertEqual(reg.shape, (4, 15))
 
+    def test_group_agg_label_group_no_axis(self):
+        la = self.larray
+        age, geo, sex, lipro = la.axes
+        vla, wal, bru = \
+            LGroup(self.vla_str), LGroup(self.wal_str), LGroup(self.bru_str)
+        belgium = LGroup(self.belgium)
+
+        # a) group aggregate on a fresh array
+
+        # a.1) one group => collapse dimension
+        # not sure I should support groups with a single item in an aggregate
+        self.assertEqual(la.sum(LGroup('H')).shape, (116, 44, 15))
+        self.assertEqual(la.sum(LGroup('H,')).shape, (116, 44, 15))
+        self.assertEqual(la.sum(LGroup('H,F')).shape, (116, 44, 15))
+
+        self.assertEqual(la.sum(LGroup('A11,A21,A25')).shape, (116, 2, 15))
+        self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape, 
+                         (116, 2, 15))
+
+        # Include everything between two labels. Since A11 is the first label
+        # and A21 is the last one, this should be equivalent to the full axis.
+        self.assertEqual(la.sum(LGroup('A11:A21')).shape, (116, 2, 15))
+        assert_array_equal(la.sum(LGroup('A11:A21')), la.sum(geo))
+        assert_array_equal(la.sum(LGroup(slice('A11', 'A21'))), la.sum(geo))
+
+        # a.3) several groups
+        # string groups
+        self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
+
+        # XXX: do we also want to support this? I do not really like it because
+        # it gets tricky when we have some other axes into play. For now the
+        # error message is unclear because it first aggregates on "vla", then
+        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
+
+        # with one label in several groups
+        self.assertEqual(la.sum((LGroup('H'), LGroup(['H', 'F']))).shape,
+                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((LGroup('H'), LGroup('H,F'))).shape,
+                         (116, 44, 2, 15))
+        # XXX: do we want to support this?
+        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+
+        aggregated = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+
+        # a.4) several dimensions at the same time
+        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
+        #                         (vla, wal, bru, belgium)).shape,
+        #                  (116, 4, 2, 3))
+        self.assertEqual(la.sum((LGroup('P01,P03'), LGroup('P02,P05')),
+                                (vla, wal, bru, belgium)).shape,
+                         (116, 4, 2, 2))
+
+        # b) both axis aggregate and group aggregate at the same time
+        # Note that you must list "full axes" aggregates first (Python does
+        # not allow non-kwargs after kwargs.
+        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
+                         (4, 15))
+
+        # c) chain group aggregate after axis aggregate
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(reg.shape, (4, 15))
+
     def test_group_agg_axis_ref_label_group(self):
         la = self.larray
         age, geo, sex, lipro = x.age, x.geo, x.sex, x.lipro

From 289f0097fa1ba1b82eb713cf426aeb84b8d59b77 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 08:56:35 +0100
Subject: [PATCH 164/899] added test for __getitem__ using LGroup without axis

---
 larray/tests/test_la.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 3063cf231..07ad570f1 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -978,6 +978,10 @@ def test_getitem_guess_axis(self):
         assert_array_equal(la[..., ['P01', 'P05', 'P09']],
                            raw[..., [0, 4, 8]])
 
+        # LGroup without axis (which also needs to be guessed)
+        g = LGroup(['P01', 'P05', 'P09'])
+        assert_array_equal(la[g], raw[..., [0, 4, 8]])
+
         # key with duplicate axes
         with self.assertRaisesRegexp(ValueError,
                                      "key has several values for axis: age"):

From f6b21f30ba37c100fa91dc561e19680d6f1f3ee4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 13:02:19 +0100
Subject: [PATCH 165/899] fixed _guess_axis using LGroup from another
 (compatible) Axis

---
 larray/core.py | 15 ++++++++-------
 1 file changed, 8 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 195459d0b..ac5d9eb0e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2358,9 +2358,9 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
 
         if isinstance(axis_key, Group):
             axis = axis_key.axis
-            # we have axis information but not necessarily an Axis object
-            # from self.axes
             if axis is not None:
+                # we have axis information but not necessarily an Axis object
+                # from self.axes
                 real_axis = self.axes[axis]
                 if axis is not real_axis:
                     axis_key = axis_key.with_axis(real_axis)
@@ -2449,12 +2449,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
     def _guess_axis(self, axis_key):
         if isinstance(axis_key, Group):
             group_axis = axis_key.axis
-            # XXX: what if group_axis is an Axis not in self.axes (but
-            # compatible with them)? It should work, but might break now.
-            if isinstance(group_axis, Axis):
+            if group_axis is not None:
+                # we have axis information but not necessarily an Axis object
+                # from self.axes
+                real_axis = self.axes[group_axis]
+                if group_axis is not real_axis:
+                    axis_key = axis_key.with_axis(real_axis)
                 return axis_key
-            elif group_axis is not None:
-                return axis_key.with_axis(self.axes[group_axis])
 
         # TODO: instead of checking all axes, we should have a big mapping
         # (in AxisCollection or LArray):

From db82315cff83d1ea943a80b8847971f3623c37cf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 13:07:48 +0100
Subject: [PATCH 166/899] CLN: pep8

---
 larray/viewer.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 97014c1ce..fca3f78f1 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1804,7 +1804,8 @@ def setup_and_check(self, data, title='', readonly=False,
                 btn_layout = QHBoxLayout()
                 btn_layout.addStretch()
 
-                bbox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Discard)
+                bbox = QDialogButtonBox(QDialogButtonBox.Apply
+                                        | QDialogButtonBox.Discard)
 
                 apply_btn = bbox.button(QDialogButtonBox.Apply)
                 apply_btn.clicked.connect(self.apply_changes)
@@ -1818,8 +1819,8 @@ def setup_and_check(self, data, title='', readonly=False,
                 arraywidget_layout.addWidget(self.arraywidget)
                 arraywidget_layout.addLayout(btn_layout)
 
-                # you cant add a layout directly in a splitter, so we have to wrap
-                # it in a widget
+                # you cant add a layout directly in a splitter, so we have to
+                # wrap it in a widget
                 arraywidget = QWidget()
                 arraywidget.setLayout(arraywidget_layout)
 

From 51db79caf47a08f581c757c87d905c5c756c977a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 13:12:30 +0100
Subject: [PATCH 167/899] clear filters bar when displaying anything other than
 an LArray

if the same widget was used to display an LArray object then a non-LArray object,
the filters bar was not reset
---
 larray/viewer.py | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index fca3f78f1..76ad5bea2 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1222,18 +1222,23 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
         self.global_changes = {}
         if isinstance(data, la.LArray):
             self.la_data = data
-            filters_layout = self.filters_layout
-            clear_layout(filters_layout)
-            filters_layout.addWidget(QLabel(_("Filters")))
-            for axis, display_name in zip(data.axes, data.axes.display_names):
-                filters_layout.addWidget(QLabel(display_name))
-                filters_layout.addWidget(self.create_filter_combo(axis))
-            filters_layout.addStretch()
+            axes = data.axes
+            display_names = axes.display_names
             data, xlabels, ylabels = larray_to_array_and_labels(data)
         else:
+            self.la_data = None
+            axes = []
+            display_names = []
             if not isinstance(data, np.ndarray):
                 data = np.asarray(data)
-            self.la_data = None
+        filters_layout = self.filters_layout
+        clear_layout(filters_layout)
+        if axes:
+            filters_layout.addWidget(QLabel(_("Filters")))
+            for axis, display_name in zip(axes, display_names):
+                filters_layout.addWidget(QLabel(display_name))
+                filters_layout.addWidget(self.create_filter_combo(axis))
+            filters_layout.addStretch()
         self.filtered_data = self.la_data
         if data.size == 0:
             QMessageBox.critical(self, _("Error"), _("Array is empty"))

From b11e57bec441ef2be8e5480340b1a5556d24620c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 14:13:37 +0100
Subject: [PATCH 168/899] viewer: fixed window title (with axes info) not
 updating in some cases

it failed to update:
* when displaying an expression
* when modifying the current array (e.g. when axes changed)
---
 larray/viewer.py | 28 ++++++++++++++++------------
 1 file changed, 16 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 76ad5bea2..80fcd6e8d 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1910,7 +1910,7 @@ def update_session(self, value, s=None):
             assert len(prev_selected) <= 1
             if prev_selected and prev_selected[0] == changed_items[0]:
                 # otherwise it's not updated in this case
-                self.arraywidget.set_data(self.data[to_display])
+                self.set_widget_array(self.data[to_display], to_display)
             else:
                 self._listwidget.setCurrentItem(changed_items[0])
 
@@ -1925,7 +1925,7 @@ def line_edit_update(self):
 
     def view_expr(self, array, *args, **kwargs):
         self._listwidget.clearSelection()
-        self.arraywidget.set_data(array)
+        self.set_widget_array(array, '<expr>')
 
     def ipython_cell_executed(self):
         user_ns = self.kernel.shell.user_ns
@@ -1944,24 +1944,28 @@ def ipython_cell_executed(self):
 
     def on_item_changed(self, curr, prev):
         name = str(curr.text())
-        title = name
-        if isinstance(self.data[name], la.LArray):
-            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
-                                       for display_name, axis
-                                       in zip(self.data[name].axes.display_names, self.data[name].axes))
-            title = (title + ': ' + axes_info) if title else axes_info
-        self.setWindowTitle(title)
-
-        self.arraywidget.set_data(self.data[name])
+        array = self.data[name]
+        self.set_widget_array(array, name)
         expr = self.expressions.get(name, name)
         if qtconsole_available:
-            # # does not update
+            # this does not work because it updates the NEXT input, not the
+            # current one (it is supposed to be called from within the console)
             # self.kernel.shell.set_next_input(expr, replace=True)
             # self.kernel_client.input(expr)
             pass
         else:
             self.eval_box.setText(expr)
 
+    def set_widget_array(self, array, title):
+        if isinstance(array, la.LArray):
+            axes = array.axes
+            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
+                                   for display_name, axis
+                                   in zip(axes.display_names, axes))
+            title = (title + ': ' + axes_info) if title else axes_info
+        self.setWindowTitle(title)
+        self.arraywidget.set_data(array)
+
     def apply_changes(self):
         self.arraywidget.accept_changes()
 

From 70c9a64c1b439bb4bdd5425cf4175d1c14450b0f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 14:28:56 +0100
Subject: [PATCH 169/899] viewer: arrays added to the session from within the
 viewer also get a tooltip with axes info

---
 larray/viewer.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 80fcd6e8d..6847660a9 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1767,10 +1767,7 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setLayout(layout)
 
         self._listwidget = QListWidget(self)
-        for name in self.data.names:
-            item = QListWidgetItem(self._listwidget)
-            item.setText(name)
-            item.setToolTip("%s: %s" % (name, self.data[name].info))
+        self.add_list_items(self.data.names)
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 
@@ -1879,11 +1876,19 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setWindowFlags(Qt.Window)
         return True
 
+    def add_list_items(self, names):
+        for name in names:
+            listitem = QListWidgetItem(self._listwidget)
+            listitem.setText(name)
+            value = self.data[name]
+            if isinstance(value, la.LArray):
+                # XXX: Is having the name in the tooltip really useful?
+                listitem.setToolTip("%s: %s" % (name, value.info))
+
     def update_session(self, value, s=None):
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
         new_keys = list(keys_after - keys_before)
-        self._listwidget.addItems(new_keys)
         # TODO: add support for deleting keys
 
         # display only first result if there are more than one
@@ -1897,6 +1902,7 @@ def update_session(self, value, s=None):
             for k in changed_keys:
                 self.data[k] = value[k]
 
+            self.add_list_items(new_keys)
             to_display = changed_keys[0]
 
             if not qtconsole_available and s is not None:

From d53259fc862e35ea29eae81f165d9c77a6b568e6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 14:37:31 +0100
Subject: [PATCH 170/899] make a method "select_list_item" so that I can reuse
 it later

---
 larray/viewer.py | 24 +++++++++++++-----------
 1 file changed, 13 insertions(+), 11 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6847660a9..3da22e133 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1908,17 +1908,19 @@ def update_session(self, value, s=None):
             if not qtconsole_available and s is not None:
                 self.expressions[to_display] = s
 
-            changed_items = self._listwidget.findItems(to_display,
-                                                       Qt.MatchExactly)
-            assert len(changed_items) == 1
-
-            prev_selected = self._listwidget.selectedItems()
-            assert len(prev_selected) <= 1
-            if prev_selected and prev_selected[0] == changed_items[0]:
-                # otherwise it's not updated in this case
-                self.set_widget_array(self.data[to_display], to_display)
-            else:
-                self._listwidget.setCurrentItem(changed_items[0])
+            self.select_list_item(to_display)
+
+    def select_list_item(self, to_display):
+        changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
+        assert len(changed_items) == 1
+        prev_selected = self._listwidget.selectedItems()
+        assert len(prev_selected) <= 1
+        # if the currently selected item (value) is modified
+        if prev_selected and prev_selected[0] == changed_items[0]:
+            # we need to update the array widget explicitly
+            self.set_widget_array(self.data[to_display], to_display)
+        else:
+            self._listwidget.setCurrentItem(changed_items[0])
 
     def line_edit_update(self):
         s = self.eval_box.text()

From 925082bbc1b109460f1e82f0b476743bdaccc473 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 14:43:56 +0100
Subject: [PATCH 171/899] moved the check for qtconsole_available from
 update_session to line_edit_update so that update_session is fully generic
 and line_edit_update is only for when not qtconsole is present

---
 larray/viewer.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3da22e133..e4d2f3043 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1885,7 +1885,7 @@ def add_list_items(self, names):
                 # XXX: Is having the name in the tooltip really useful?
                 listitem.setToolTip("%s: %s" % (name, value.info))
 
-    def update_session(self, value, s=None):
+    def update_session(self, value):
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
         new_keys = list(keys_after - keys_before)
@@ -1905,10 +1905,10 @@ def update_session(self, value, s=None):
             self.add_list_items(new_keys)
             to_display = changed_keys[0]
 
-            if not qtconsole_available and s is not None:
-                self.expressions[to_display] = s
-
             self.select_list_item(to_display)
+            return to_display
+        else:
+            return None
 
     def select_list_item(self, to_display):
         changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
@@ -1927,7 +1927,9 @@ def line_edit_update(self):
         if statement_pattern.match(s):
             context = self.data._objects.copy()
             exec(s, la.__dict__, context)
-            self.update_session(context, s)
+            varname = self.update_session(context)
+            if varname is not None:
+                self.expressions[varname] = s
         else:
             self.view_expr(eval(s, la.__dict__, self.data))
 

From d2212a31c18eac5d3e9023cca97ff8d16a800a47 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 14:59:53 +0100
Subject: [PATCH 172/899] changed the way we hook into the qtconsole (when it
 is present)

instead of hijacking text_formatter for arrays to display the array directly,
we hijack it to display nothing for all supported types, then parse the text
of the last command executed to determine what to display. This has several
advantages:

* we can change the array being displayed on __setitem__
* we can select the correct array in the list if the user types the array name
---
 larray/viewer.py | 61 +++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 52 insertions(+), 9 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index e4d2f3043..862aa293d 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1722,8 +1722,12 @@ def get_value(self):
         return self.data
 
 
-statement_pattern = re.compile('.*[^=]=[^=].*')
+statement_pattern = re.compile('[^\[\]]+[^=]=[^=].+')
+setitem_pattern = re.compile('(.+)\[.+\][^=]=[^=].+')
 history_vars_pattern = re.compile('_i?\d+')
+# TODO: add all numpy scalars (except strings)
+# (long) strings are not handled correctly so should NOT be in this list
+DISPLAY_IN_GRID = (tuple, list, la.LArray, np.ndarray, int, float)
 
 
 class SessionEditor(QDialog):
@@ -1784,7 +1788,12 @@ def setup_and_check(self, data, title='', readonly=False,
             kernel.shell.push(self.data._objects)
             text_formatter = \
                 kernel.shell.display_formatter.formatters['text/plain']
-            text_formatter.for_type(la.LArray, self.view_expr)
+
+            def void_formatter(array, *args, **kwargs):
+                return ''
+
+            for type_ in DISPLAY_IN_GRID:
+                text_formatter.for_type(type_, void_formatter)
 
             self.kernel = kernel
 
@@ -1888,8 +1897,13 @@ def add_list_items(self, names):
     def update_session(self, value):
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
-        new_keys = list(keys_after - keys_before)
         # TODO: add support for deleting keys
+        new_keys = keys_after - keys_before
+        # filter types we do not want in the session (because we cannot display
+        # them in the grid and we want to keep the list synchronised with the
+        # session)
+        new_keys = [k for k in new_keys
+                    if isinstance(value[k], DISPLAY_IN_GRID)]
 
         # display only first result if there are more than one
         changed_keys = [k for k in keys_before | keys_after
@@ -1945,12 +1959,41 @@ def ipython_cell_executed(self):
                        '__spec__', '_dh',
                        '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
                        'exit', 'get_ipython', 'quit'])
-        ns_keys = set([k for k, v in user_ns.items()
-                       if not history_vars_pattern.match(k) and
-                          (isinstance(v, (la.LArray, np.ndarray)) or
-                           np.isscalar(v))]) - ip_keys
-        clean_ns = {k: v for k, v in user_ns.items() if k in ns_keys}
-        self.update_session(clean_ns)
+
+        def allowed_in_session(v):
+            return isinstance(v, (tuple, list, la.LArray, np.ndarray)) or \
+                   np.isscalar(v)
+
+        clean_ns_keys = set([k for k, v in user_ns.items()
+                             if not history_vars_pattern.match(k) and
+                                isinstance(v, DISPLAY_IN_GRID)]) - ip_keys
+        clean_ns = {k: v for k, v in user_ns.items() if k in clean_ns_keys}
+
+        # user_ns['_i'] is not updated yet (refers to the -2 item)
+        # In and _ih point to the same object
+        last_input = user_ns['In'][-1]
+        if statement_pattern.match(last_input):
+            # updates the view if any new object is in the session or any
+            # existing name changed id()
+            self.update_session(clean_ns)
+        elif setitem_pattern.match(last_input):
+            m = setitem_pattern.match(last_input)
+            varname = m.group(1)
+            # otherwise it should have failed at this point, but let us be sure
+            if varname in clean_ns:
+                self.select_list_item(varname)
+        else:
+            # not a statement nor setitem => assume expr
+            if last_input in clean_ns:
+                # the name exists in the session => select and display it
+                self.select_list_item(last_input)
+            else:
+                # we want to get at the last output.
+                # Out and _oh point to the same object.
+                # Out is a simple dict, so user_ns['Out'][-1] does not work.
+                last_output = user_ns['_']
+                if isinstance(last_output, DISPLAY_IN_GRID):
+                    self.view_expr(last_output)
 
     def on_item_changed(self, curr, prev):
         name = str(curr.text())

From 63c65a61cf3726112af32f3e00a6c2415f9ebce2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 16:00:47 +0100
Subject: [PATCH 173/899] allow naming "one-shot" groups in group aggregates

bel.sum('men=H;women=F;all=:')
---
 larray/core.py          | 43 +++++++++++++++++++++++++----------------
 larray/tests/test_la.py | 19 ++++++++++++++++++
 2 files changed, 45 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index ac5d9eb0e..22f425c84 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -26,9 +26,6 @@
 # * when trying to aggregate on an non existing Axis (using x.blabla),
 #   the error message is awful
 
-# ? implement named groups in strings
-#   eg "vla=A01,A02;bru=A21;wal=A55,A56"
-
 # ? implement multi group in one axis getitem:
 #   lipro['P01,P02;P05'] <=> (lipro.group('P01,P02'), lipro.group('P05'))
 #                        <=> (lipro['P01,P02'], lipro['P05'])
@@ -61,9 +58,6 @@
 
 # * add labels in LGroups.__str__
 
-# ? allow naming "one-shot" groups? e.g:
-#   regsum = bel.sum(lipro='P01,P02 = P01P02; : = all')
-
 # * docstring for all methods
 
 # * IO functions: csv/hdf/excel?/...?
@@ -316,6 +310,8 @@ def to_key(v):
     'a'
     >>> to_key(10)
     10
+    >>> to_key('abc=a,b,c')
+    LGroup(['a', 'b', 'c'], name='abc')
     """
     if isinstance(v, tuple):
         return list(v)
@@ -324,19 +320,23 @@ def to_key(v):
     elif v is Ellipsis or isinstance(v, (int, list, slice, LArray)):
         return v
     elif isinstance(v, basestring):
-        numcolons = v.count(':')
-        if numcolons:
-            assert numcolons <= 2
-            # can be of len 2 or 3 (if step is provided)
-            bounds = [a if a else None for a in v.split(':')]
-            return slice(*bounds)
+        if '=' in v:
+            name, key = v.split('=')
+            return LGroup(to_key(key.strip()), name.strip())
         else:
-            if ',' in v:
-                # strip extremity commas to avoid empty string keys
-                v = v.strip(',')
-                return [v.strip() for v in v.split(',')]
+            numcolons = v.count(':')
+            if numcolons:
+                assert numcolons <= 2
+                # can be of len 2 or 3 (if step is provided)
+                bounds = [a if a else None for a in v.split(':')]
+                return slice(*bounds)
             else:
-                return v.strip()
+                if ',' in v:
+                    # strip extremity commas to avoid empty string keys
+                    v = v.strip(',')
+                    return [v.strip() for v in v.split(',')]
+                else:
+                    return v.strip()
     else:
         raise TypeError("%s has an invalid type (%s) for a key"
                         % (v, type(v).__name__))
@@ -687,6 +687,15 @@ def translate(self, key, bool_passthrough=True):
             # transform "specially formatted strings" for slices and lists to
             # actual objects
             key = to_key(key)
+            # if key was a string of the form "name=value", it can be an
+            # LGroup now, so we have to take the key from it *again*.
+            # XXX: one way to not do that twice would be to apply to_key
+            # to LGroup keys *before* storing them. This way we could simply
+            # handle string keys before LGroup keys (since a string in an
+            # LGroup would not need further processing)
+            if isinstance(key, LGroup):
+                # at this point we do not care about the axis nor the name
+                key = key.key
 
         if isinstance(key, slice):
             start = mapping[key.start] if key.start is not None else None
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 07ad570f1..b1ac2661a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1842,6 +1842,7 @@ def test_group_agg_kwargs(self):
 
     def test_group_agg_guess_axis(self):
         la = self.larray
+        raw = self.array
         age, geo, sex, lipro = la.axes
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
         belgium = self.belgium
@@ -1855,6 +1856,8 @@ def test_group_agg_guess_axis(self):
         self.assertEqual(la.sum('H,F').shape, (116, 44, 15))
 
         self.assertEqual(la.sum('A11,A21,A25').shape, (116, 2, 15))
+        # with a name
+        self.assertEqual(la.sum('g1=A11,A21,A25').shape, (116, 2, 15))
         self.assertEqual(la.sum(['A11', 'A21', 'A25']).shape, (116, 2, 15))
 
         # Include everything between two labels. Since A11 is the first label
@@ -1882,6 +1885,22 @@ def test_group_agg_guess_axis(self):
                          (116, 44, 2, 15))
         self.assertEqual(la.sum(('H', 'H,F')).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum('H;H,F').shape, (116, 44, 2, 15))
+        # with group names
+        res = la.sum('men=H;all=H,F')
+        self.assertEqual(res.shape, (116, 44, 2, 15))
+        self.assertTrue('sex' in res.axes)
+        men = sex['H'].named('men')
+        all_ = sex['H,F'].named('all')
+        assert_array_equal(res.axes.sex.labels, [men, all_])
+        assert_array_equal(res['men'], raw[:, :, 0, :])
+        assert_array_equal(res['all'], raw.sum(2))
+
+        res = la.sum(('men=H', 'all=H,F'))
+        self.assertEqual(res.shape, (116, 44, 2, 15))
+        self.assertTrue('sex' in res.axes)
+        assert_array_equal(res.axes.sex.labels, [men, all_])
+        assert_array_equal(res['men'], raw[:, :, 0, :])
+        assert_array_equal(res['all'], raw.sum(2))
 
         aggregated = la.sum((vla, wal, bru, belgium))
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))

From 1b8d1b4d057f5fac1c2e875b6c2fc4da90f31a75 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 28 Nov 2016 16:02:31 +0100
Subject: [PATCH 174/899] CLN: kill outdated TODO

---
 larray/core.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 22f425c84..669426604 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -82,8 +82,6 @@
 #   OR
 #   include utils only in larray project and make larray a dependency of liam2
 #   (and potentially rename it to reflect the broader scope)
-# ? move "excelcom" to its own project (so that it is not duplicated between
-#   potential projects using it)
 
 import csv
 import os

From ad3ae03e8fd4683e8ce1b578c3e44b5ca7d1f6e3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 21 Nov 2016 16:41:11 +0100
Subject: [PATCH 175/899] replace PyQt4 by qtpy in imports in viewer.py except
 for pyqtSlot

---
 larray/viewer.py | 44 +++++++++++++++++++++++++++++++-------------
 1 file changed, 31 insertions(+), 13 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 862aa293d..0034a6a1e 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -75,19 +75,37 @@
 import re
 import sys
 
-from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
-                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
-                         QLineEdit, QCheckBox, QGridLayout,
-                         QDoubleValidator, QIntValidator,
-                         QDialog, QDialogButtonBox, QPushButton,
-                         QMessageBox, QMenu,
-                         QKeySequence, QLabel,
-                         QSpinBox, QWidget, QVBoxLayout,
-                         QFont, QAction, QItemSelection,
-                         QItemSelectionModel, QItemSelectionRange,
-                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
-from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
-                          QVariant, pyqtSlot as Slot)
+from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate,
+                            QListWidget, QSplitter, QListWidgetItem,
+                            QLineEdit, QCheckBox, QGridLayout,
+                            QDialog, QDialogButtonBox, QPushButton,
+                            QMessageBox, QMenu,
+                            QLabel, QSpinBox, QWidget, QVBoxLayout,
+                            QAction, QStyle, QToolTip)
+
+from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence,
+                        QFont, QIcon, QFontMetrics, QCursor)
+
+from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
+                         QItemSelectionModel, QItemSelectionRange, QVariant)
+                         #pyqtSlot as Slot)
+
+from PyQt4.QtCore import pyqtSlot as Slot
+
+
+#from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
+#                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
+#                         QLineEdit, QCheckBox, QGridLayout,
+#                         QDoubleValidator, QIntValidator,
+#                         QDialog, QDialogButtonBox, QPushButton,
+#                         QMessageBox, QMenu,
+#                         QKeySequence, QLabel,
+#                         QSpinBox, QWidget, QVBoxLayout,
+#                         QFont, QAction, QItemSelection,
+#                         QItemSelectionModel, QItemSelectionRange,
+#                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
+#from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
+#                          QVariant, pyqtSlot as Slot)
 
 import numpy as np
 

From a5e47a5a9b6faa704634ca860a3bad5bc8b679d1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 21 Nov 2016 16:50:58 +0100
Subject: [PATCH 176/899] replace all PyQt4 imports by qtpy imports in
 viewer.py

---
 larray/viewer.py | 23 ++++-------------------
 1 file changed, 4 insertions(+), 19 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 0034a6a1e..de1f8ffdc 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -87,25 +87,10 @@
                         QFont, QIcon, QFontMetrics, QCursor)
 
 from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
-                         QItemSelectionModel, QItemSelectionRange, QVariant)
-                         #pyqtSlot as Slot)
-
-from PyQt4.QtCore import pyqtSlot as Slot
-
-
-#from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
-#                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
-#                         QLineEdit, QCheckBox, QGridLayout,
-#                         QDoubleValidator, QIntValidator,
-#                         QDialog, QDialogButtonBox, QPushButton,
-#                         QMessageBox, QMenu,
-#                         QKeySequence, QLabel,
-#                         QSpinBox, QWidget, QVBoxLayout,
-#                         QFont, QAction, QItemSelection,
-#                         QItemSelectionModel, QItemSelectionRange,
-#                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
-#from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
-#                          QVariant, pyqtSlot as Slot)
+                         QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
+
+#from PyQt4.QtCore import pyqtSlot as Slot
+
 
 import numpy as np
 

From 327fc124b3efe0ac3f13e87a57d1f8b2296df765 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 22 Nov 2016 10:24:28 +0100
Subject: [PATCH 177/899] replace all PyQt4 imports by qtpy imports in
 __init__.py, viewer.py and combo.py

---
 larray/__init__.py |  4 ++--
 larray/combo.py    | 28 ++++++++++++++--------------
 larray/viewer.py   |  3 ---
 3 files changed, 16 insertions(+), 19 deletions(-)

diff --git a/larray/__init__.py b/larray/__init__.py
index d43770c0c..bfc86b9f4 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -8,7 +8,7 @@
 try:
     import sys
 
-    from PyQt4 import QtGui, QtCore
+    from qtpy import QtGui, QtCore, QtWidgets
 
     from larray.viewer import view, edit, compare
 
@@ -23,7 +23,7 @@ def qt_display_hook(value):
     sys.displayhook = qt_display_hook
 
     # cleanup namespace
-    del QtGui, QtCore, sys
+    del QtGui, QtCore, QtWidgets, sys
 except ImportError:
     def view(*args, **kwargs):
         raise Exception('view() is not available because Qt is not installed')
diff --git a/larray/combo.py b/larray/combo.py
index 010f8ec98..94dcbbfd9 100644
--- a/larray/combo.py
+++ b/larray/combo.py
@@ -1,4 +1,4 @@
-from PyQt4 import QtGui, QtCore
+from qtpy import QtGui, QtCore, QtWidgets
 
 
 class StandardItemModelIterator(object):
@@ -58,14 +58,14 @@ def set_checked(self, value):
     checked = property(get_checked, set_checked)
 
 
-class FilterMenu(QtGui.QMenu):
-    activate = QtCore.pyqtSignal(int)
-    checkedItemsChanged = QtCore.pyqtSignal(list)
+class FilterMenu(QtWidgets.QMenu):
+    activate = QtCore.Signal(int)
+    checkedItemsChanged = QtCore.Signal(list)
 
     def __init__(self, parent=None):
-        super(QtGui.QMenu, self).__init__(parent)
+        super(QtWidgets.QMenu, self).__init__(parent)
 
-        self._list_view = QtGui.QListView(parent)
+        self._list_view = QtWidgets.QListView(parent)
         self._list_view.setFrameStyle(0)
         model = SequenceStandardItemModel()
         self._list_view.setModel(model)
@@ -73,7 +73,7 @@ def __init__(self, parent=None):
         self.addItem("(select all)")
         model[0].setTristate(True)
 
-        action = QtGui.QWidgetAction(self)
+        action = QtWidgets.QWidgetAction(self)
         action.setDefaultWidget(self._list_view)
         self.addAction(action)
         self.installEventFilter(self)
@@ -150,8 +150,8 @@ def eventFilter(self, obj, event):
         return False
 
 
-class FilterComboBox(QtGui.QToolButton):
-    checkedItemsChanged = QtCore.pyqtSignal(list)
+class FilterComboBox(QtWidgets.QToolButton):
+    checkedItemsChanged = QtCore.Signal(list)
 
     def __init__(self, parent=None):
         super(FilterComboBox, self).__init__(parent)
@@ -159,7 +159,7 @@ def __init__(self, parent=None):
         # QtGui.QToolButton.InstantPopup would be slightly less work (the
         # whole button works by default, instead of only the arrow) but it is
         # uglier
-        self.setPopupMode(QtGui.QToolButton.MenuButtonPopup)
+        self.setPopupMode(QtWidgets.QToolButton.MenuButtonPopup)
 
         menu = FilterMenu(self)
         self.setMenu(menu)
@@ -226,10 +226,10 @@ def eventFilter(self, obj, event):
 if __name__ == '__main__':
     import sys
 
-    class TestDialog(QtGui.QDialog):
+    class TestDialog(QtWidgets.QDialog):
         def __init__(self):
-            super(QtGui.QDialog, self).__init__()
-            layout = QtGui.QVBoxLayout()
+            super(QtWidgets.QDialog, self).__init__()
+            layout = QtWidgets.QVBoxLayout()
             self.setLayout(layout)
 
             combo = FilterComboBox(self)
@@ -237,7 +237,7 @@ def __init__(self):
                 combo.addItem('Item %s' % i)
             layout.addWidget(combo)
 
-    app = QtGui.QApplication(sys.argv)
+    app = QtWidgets.QApplication(sys.argv)
     dialog = TestDialog()
     dialog.resize(200, 200)
     dialog.show()
diff --git a/larray/viewer.py b/larray/viewer.py
index de1f8ffdc..7339cfac6 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -89,9 +89,6 @@
 from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
                          QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
 
-#from PyQt4.QtCore import pyqtSlot as Slot
-
-
 import numpy as np
 
 try:

From 542421269e32f50a2b8342050ba0655164b0bfd8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Nov 2016 14:25:18 +0100
Subject: [PATCH 178/899] rename srange as _srange + update its doc

---
 larray/core.py          | 45 ++++++++++++++++++++++++++++++++++++++---
 larray/tests/test_la.py | 12 +++++------
 2 files changed, 48 insertions(+), 9 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 669426604..a0f7bccc4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -114,16 +114,55 @@
                           strip_rows, PY3)
 
 # TODO: return a generator, not a list
-def srange(*args):
+def _srange(*args):
+    """
+    Return evenly spaced values within a given interval as list of strings
+
+    Parameters
+    ----------
+    start :  number, optional
+        Start of interval. The interval includes this value. The default start value is 0.
+    stop : number
+        End of interval. The interval does not include this value
+    step : number, optional
+        Spacing between values. For any output out, this is the distance between two adjacent values.
+        The default step size is 1. If step is specified, start must also be given.
+
+    Returns
+    -------
+    srange : list of str
+        Array of evenly spaced values.
+
+    Examples
+    --------
+    >>> _srange(8)
+    ['0', '1', '2', '3', '4', '5', '6', '7']
+    >>> _srange(5,8)
+    ['5', '6', '7']
+    >>> _srange(1,8,2)
+    ['1', '3', '5', '7']
+    """
     return list(map(str, range(*args)))
 
 
 def range_to_slice(seq, length=None):
     """
-    seq is a sequence-like (list, tuple or ndarray) of integers
     returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
 
+    Parameters
+    ----------
+    seq : sequence-like of int
+        List, tuple or ndarray of integers used to define a slice
+    length : int, optional
+        length of the returned slice
+
+    Returns
+    -------
+    out : slice
+
+    Examples
+    --------
     >>> range_to_slice([3, 4, 5])
     slice(3, 6, None)
     >>> range_to_slice([3, 5, 7])
@@ -209,7 +248,7 @@ def slice_str_to_range(s):
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
     stop += 1
-    return srange(start, stop, step)
+    return _srange(start, stop, step)
 
 
 def to_string(v):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index b1ac2661a..96b793ffd 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import to_ticks, to_key, srange, df_aslarray
+from larray.core import to_ticks, to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -81,8 +81,8 @@ def test_range(self):
         # want to have more complex queries, such as:
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
-        self.assertEqual(to_ticks('0:115'), srange(116))
-        self.assertEqual(to_ticks(':115'), srange(116))
+        self.assertEqual(to_ticks('0:115'), _srange(116))
+        self.assertEqual(to_ticks(':115'), _srange(116))
         with self.assertRaises(ValueError):
             to_ticks('10:')
         with self.assertRaises(ValueError):
@@ -135,7 +135,7 @@ def test_init(self):
         # list of ints
         assert_array_equal((Axis('age', range(116))).labels, np.arange(116))
         # range-string
-        assert_array_equal((Axis('age', ':115')).labels, np.array(srange(116)))
+        assert_array_equal((Axis('age', ':115')).labels, np.array(_srange(116)))
 
     def test_equals(self):
         self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', 'H,F')))
@@ -156,8 +156,8 @@ def test_group(self):
         self.assertEqual(age.group('10:20'), LGroup(slice('10', '20')))
 
         # with name
-        group = age.group(srange(10, 20), name='teens')
-        self.assertEqual(group.key, srange(10, 20))
+        group = age.group(_srange(10, 20), name='teens')
+        self.assertEqual(group.key, _srange(10, 20))
         self.assertEqual(group.name, 'teens')
         self.assertIs(group.axis, age)
 

From 347a6f700a5f4d1f39fc364cb37302510d334141 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Nov 2016 16:16:11 +0100
Subject: [PATCH 179/899] rename (add _ in front of)+ update doc of functions
 range_to_slice to to_ticks.

---
 larray/core.py          | 135 ++++++++++++++++++++++++++--------------
 larray/tests/test_la.py |  14 ++---
 2 files changed, 97 insertions(+), 52 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a0f7bccc4..c560c392c 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -145,7 +145,7 @@ def _srange(*args):
     return list(map(str, range(*args)))
 
 
-def range_to_slice(seq, length=None):
+def _range_to_slice(seq, length=None):
     """
     returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
@@ -153,33 +153,35 @@ def range_to_slice(seq, length=None):
     Parameters
     ----------
     seq : sequence-like of int
-        List, tuple or ndarray of integers used to define a slice
+        List, tuple or ndarray of integers representing the range.
+        It should be something like [start, start+step, start+2*step, ...]
     length : int, optional
-        length of the returned slice
+        ???
 
     Returns
     -------
-    out : slice
+    result : slice or sequence-like
+        return the input sequence if a slice cannot be defined
 
     Examples
     --------
-    >>> range_to_slice([3, 4, 5])
+    >>> _range_to_slice([3, 4, 5])
     slice(3, 6, None)
-    >>> range_to_slice([3, 5, 7])
+    >>> _range_to_slice([3, 5, 7])
     slice(3, 9, 2)
-    >>> range_to_slice([-3, -2])
+    >>> _range_to_slice([-3, -2])
     slice(-3, -1, None)
-    >>> range_to_slice([-1, -2])
+    >>> _range_to_slice([-1, -2])
     slice(-1, -3, -1)
-    >>> range_to_slice([2, 1])
+    >>> _range_to_slice([2, 1])
     slice(2, 0, -1)
-    >>> range_to_slice([1, 0], 4)
+    >>> _range_to_slice([1, 0], 4)
     slice(-3, -5, -1)
-    >>> range_to_slice([1, 0])
+    >>> _range_to_slice([1, 0])
     [1, 0]
-    >>> range_to_slice([1])
+    >>> _range_to_slice([1])
     slice(1, 2, None)
-    >>> range_to_slice([])
+    >>> _range_to_slice([])
     []
     """
     if len(seq) < 1:
@@ -206,18 +208,21 @@ def range_to_slice(seq, length=None):
     return slice(start, stop, step)
 
 
-def slice_to_str(key, use_repr=False):
+def _slice_to_str(key, use_repr=False):
     """
     converts a slice to a string
-    >>> slice_to_str(slice(None))
+
+    Examples:
+    ---------
+    >>> _slice_to_str(slice(None))
     ':'
-    >>> slice_to_str(slice(24))
+    >>> _slice_to_str(slice(24))
     ':24'
-    >>> slice_to_str(slice(25, None))
+    >>> _slice_to_str(slice(25, None))
     '25:'
-    >>> slice_to_str(slice(5, 10))
+    >>> _slice_to_str(slice(5, 10))
     '5:10'
-    >>> slice_to_str(slice(None, 5, 2))
+    >>> _slice_to_str(slice(None, 5, 2))
     ':5:2'
     """
     # examples of result: ":24" "25:" ":" ":5:2"
@@ -228,15 +233,28 @@ def slice_to_str(key, use_repr=False):
     return '%s:%s%s' % (start, stop, step)
 
 
-def slice_str_to_range(s):
+def _slice_str_to_range(s):
     """
-    converts a slice string to a list of (string) values. The end point is
-    included.
-    >>> slice_str_to_range(':3')
+    converts a slice string to a list of (string) values.
+    The end point is included.
+
+    Parameters:
+    -----------
+    s : str
+        Sting representing a slice
+
+    Returns:
+    --------
+    result : list of str
+        Array of evenly spaced values.
+
+    Examples:
+    ---------
+    >>> _slice_str_to_range(':3')
     ['0', '1', '2', '3']
-    >>> slice_str_to_range('2:5')
+    >>> _slice_str_to_range('2:5')
     ['2', '3', '4', '5']
-    >>> slice_str_to_range('2:6:2')
+    >>> _slice_str_to_range('2:6:2')
     ['2', '4', '6']
     """
     numcolons = s.count(':')
@@ -251,12 +269,23 @@ def slice_str_to_range(s):
     return _srange(start, stop, step)
 
 
-def to_string(v):
+def _to_string(v):
     """
     converts a (group of) tick(s) to a string
+
+    Parameters:
+    -----------
+    v : any
+        (group of) tick(s).
+        slice objects are converted in string using `_slice_to_str` function.
+
+    Returns:
+    --------
+    result : str
+        string representing a (group of) tick(s)
     """
     if isinstance(v, slice):
-        return slice_to_str(v)
+        return _slice_to_str(v)
     elif isinstance(v, (tuple, list)):
         if len(v) == 1:
             return str(v) + ','
@@ -266,7 +295,7 @@ def to_string(v):
         return str(v)
 
 
-def to_tick(e):
+def _to_tick(e):
     """
     make it hashable, and acceptable as an ndarray element
     scalar & VG -> not modified
@@ -276,7 +305,7 @@ def to_tick(e):
     """
     # the fact that an "aggregated tick" is passed as a LGroup or as a
     # string should be as irrelevant as possible. The thing is that we cannot
-    # (currently) use the more elegant to_tick(e.key) that means the
+    # (currently) use the more elegant _to_tick(e.key) that means the
     # LGroup is not available in Axis.__init__ after to_ticks, and we
     # need it to update the mapping if it was named. Effectively,
     # this creates two entries in the mapping for a single tick. Besides,
@@ -285,24 +314,34 @@ def to_tick(e):
     if np.isscalar(e) or isinstance(e, LGroup):
         return e
     else:
-        return to_string(e)
+        return _to_string(e)
 
 
-def to_ticks(s):
+def _to_ticks(s):
     """
     Makes a (list of) value(s) usable as the collection of labels for an
     Axis (ie hashable). Strip strings, split them on ',' and translate
     "range strings" to list of values **including the end point** !
+
+    Parameters:
+    -----------
+    s : iterable
+        List of values usable as the collection of labels for an Axis.
+
+    Notes:
+    ------
     This function is only used in Axis.__init__ and union().
 
-    >>> to_ticks('H , F')
+    Examples:
+    ---------
+    >>> _to_ticks('H , F')
     ['H', 'F']
 
     # XXX: we might want to return real int instead, because if we ever
     # want to have more complex queries, such as:
     # arr.filter(age > 10 and age < 20)
     # this would break for string values (because '10' < '2')
-    >>> to_ticks(':3')
+    >>> _to_ticks(':3')
     ['0', '1', '2', '3']
     """
     if isinstance(s, Group):
@@ -315,12 +354,12 @@ def to_ticks(s):
         # XXX: Is it a safe assumption?
         return s
     elif isinstance(s, (list, tuple)):
-        return [to_tick(e) for e in s]
+        return [_to_tick(e) for e in s]
     elif sys.version >= '3' and isinstance(s, range):
         return list(s)
     elif isinstance(s, basestring):
         if ':' in s:
-            return slice_str_to_range(s)
+            return _slice_str_to_range(s)
         else:
             return [v.strip() for v in s.split(',')]
     elif hasattr(s, '__array__'):
@@ -334,9 +373,15 @@ def to_ticks(s):
 
 def to_key(v):
     """
-    Converts a value to a key usable for indexing (slice object, list of values,
-    ...). Strings are split on ',' and stripped. Colons (:) are interpreted
-    as slices. "int strings" are not converted to int.
+    Converts a value to a key usable for indexing (slice object, list of values,...).
+    Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
+
+    Notes:
+    ------
+    "int strings" are not converted to int.
+
+    Examples:
+    ---------
     >>> to_key('a:c')
     slice('a', 'c', None)
     >>> to_key('a, b,c ,')
@@ -424,7 +469,7 @@ def union(*args):
     returns the union of several "value strings" as a list
     """
     if args:
-        return list(unique(chain(*(to_ticks(arg) for arg in args))))
+        return list(unique(chain(*(_to_ticks(arg) for arg in args))))
     else:
         return []
 
@@ -546,7 +591,7 @@ def labels(self, labels):
             # we convert to an ndarray to save memory for scalar ticks (for
             # LGroup ticks, it does not make a difference since a list of VG
             # and an ndarray of VG are both arrays of pointers)
-            ticks = to_ticks(labels)
+            ticks = _to_ticks(labels)
             object_array = isinstance(ticks, np.ndarray) and \
                            ticks.dtype.type == np.object_
             can_have_groups = object_array or isinstance(ticks, (tuple, list))
@@ -677,7 +722,7 @@ def __getitem__(self, key):
         return self.group(key)
 
     def __contains__(self, key):
-        return to_tick(key) in self._mapping
+        return _to_tick(key) in self._mapping
 
     def __hash__(self):
         return id(self)
@@ -1015,19 +1060,19 @@ def __hash__(self):
         #      to_tick directly, instead of using to_key explicitly here
         # XXX: we probably want to include this normalization in __init__
         #      instead
-        return hash(to_tick(to_key(self.key)))
+        return hash(_to_tick(to_key(self.key)))
 
     def __eq__(self, other):
         # different name or axis compare equal !
         # XXX: we might want to compare "expanded" keys, so that slices
         # can match lists and vice-versa.
         other_key = other.key if isinstance(other, LGroup) else other
-        return to_tick(to_key(self.key)) == to_tick(to_key(other_key))
+        return _to_tick(to_key(self.key)) == _to_tick(to_key(other_key))
 
     def __str__(self):
         key = to_key(self.key)
         if isinstance(key, slice):
-            str_key = slice_to_str(key, use_repr=True)
+            str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
             str_key = '[%s]' % seq_summary(key, 1)
         else:
@@ -2686,7 +2731,7 @@ def _collapse_slices(self, key):
         # isinstance(ndarray, collections.Sequence) is False but it
         # behaves like one
         sequence = (tuple, list, np.ndarray)
-        return [range_to_slice(axis_key, len(axis))
+        return [_range_to_slice(axis_key, len(axis))
                 if isinstance(axis_key, sequence)
                 else axis_key
                 for axis_key, axis in zip(key, self.axes)]
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 96b793ffd..551311c37 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import to_ticks, to_key, _srange, df_aslarray
+from larray.core import _to_ticks, to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -70,8 +70,8 @@ def nan_equal(a, b):
 
 class TestValueStrings(TestCase):
     def test_split(self):
-        self.assertEqual(to_ticks('H,F'), ['H', 'F'])
-        self.assertEqual(to_ticks('H, F'), ['H', 'F'])
+        self.assertEqual(_to_ticks('H,F'), ['H', 'F'])
+        self.assertEqual(_to_ticks('H, F'), ['H', 'F'])
 
     def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
@@ -81,12 +81,12 @@ def test_range(self):
         # want to have more complex queries, such as:
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
-        self.assertEqual(to_ticks('0:115'), _srange(116))
-        self.assertEqual(to_ticks(':115'), _srange(116))
+        self.assertEqual(_to_ticks('0:115'), _srange(116))
+        self.assertEqual(_to_ticks(':115'), _srange(116))
         with self.assertRaises(ValueError):
-            to_ticks('10:')
+            _to_ticks('10:')
         with self.assertRaises(ValueError):
-            to_ticks(':')
+            _to_ticks(':')
 
 
 class TestKeyStrings(TestCase):

From e3a84388903c670361a00262d12c6720b726cba2 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 10:40:11 +0100
Subject: [PATCH 180/899] add _ in front of to_key and to_keys + update doc of
 these two functions

---
 larray/tests/test_la.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 551311c37..e15ad8c42 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import _to_ticks, to_key, _srange, df_aslarray
+from larray.core import _to_ticks, _to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -91,14 +91,14 @@ def test_range(self):
 
 class TestKeyStrings(TestCase):
     def test_nonstring(self):
-        self.assertEqual(to_key(('H', 'F')), ['H', 'F'])
-        self.assertEqual(to_key(['H', 'F']), ['H', 'F'])
+        self.assertEqual(_to_key(('H', 'F')), ['H', 'F'])
+        self.assertEqual(_to_key(['H', 'F']), ['H', 'F'])
 
     def test_split(self):
-        self.assertEqual(to_key('H,F'), ['H', 'F'])
-        self.assertEqual(to_key('H, F'), ['H', 'F'])
-        self.assertEqual(to_key('H,'), ['H'])
-        self.assertEqual(to_key('H'), 'H')
+        self.assertEqual(_to_key('H,F'), ['H', 'F'])
+        self.assertEqual(_to_key('H, F'), ['H', 'F'])
+        self.assertEqual(_to_key('H,'), ['H'])
+        self.assertEqual(_to_key('H'), 'H')
 
     def test_slice_strings(self):
         # XXX: we might want to return real int instead, because if we ever
@@ -106,10 +106,10 @@ def test_slice_strings(self):
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
         # XXX: these two examples return different things, do we want that?
-        self.assertEqual(to_key('0:115'), slice('0', '115'))
-        self.assertEqual(to_key(':115'), slice('115'))
-        self.assertEqual(to_key('10:'), slice('10', None))
-        self.assertEqual(to_key(':'), slice(None))
+        self.assertEqual(_to_key('0:115'), slice('0', '115'))
+        self.assertEqual(_to_key(':115'), slice('115'))
+        self.assertEqual(_to_key('10:'), slice('10', None))
+        self.assertEqual(_to_key(':'), slice(None))
 
 
 class TestAxis(TestCase):

From a775d1628c428284989107c635e711b42af97cf0 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 11:54:33 +0100
Subject: [PATCH 181/899] Update doc of functions union and larray_equal
 (including examples).

---
 larray/core.py | 70 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 67 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index c560c392c..48c0ef4c0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -328,8 +328,12 @@ def _to_ticks(s):
     s : iterable
         List of values usable as the collection of labels for an Axis.
 
-    Notes:
-    ------
+    Returns
+    -------
+    result : collection of labels
+
+    Notes
+    -----
     This function is only used in Axis.__init__ and union().
 
     Examples:
@@ -429,6 +433,21 @@ def to_keys(value):
     converts a (collection of) group(s) to a structure usable for indexing.
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
 
+    Parameters
+    ----------
+    value : int or basestring or tuple or list or slice or LArray or Group
+        (collection of) value(s) to convert into key(s) usable for indexing
+
+    Returns
+    -------
+    result : list of keys
+
+    See Also
+    --------
+    _to_key
+
+    Examples
+    --------
     It is only used for .sum(axis=xxx)
     >>> to_keys('P01,P02')  # <-- one group => collapse dimension
     ['P01', 'P02']
@@ -466,7 +485,22 @@ def to_keys(value):
 def union(*args):
     # TODO: add support for LGroup and lists
     """
-    returns the union of several "value strings" as a list
+    returns the union of several "value strings" as a list.
+
+    Parameters
+    ----------
+    *args
+        (collection of) values to be converted into keys.
+        Repeated values into taken into account once.
+
+    Returns
+    -------
+    result : list of keys
+
+    Examples
+    --------
+    >>> union('a', 'a,b,c,d', ['d','e','f'], ':2')
+    ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
     if args:
         return list(unique(chain(*(_to_ticks(arg) for arg in args))))
@@ -475,6 +509,36 @@ def union(*args):
 
 
 def larray_equal(first, other):
+    """
+    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+
+    Parameters
+    ----------
+    first, other : LArray
+        input arrays.
+
+    Returns
+    -------
+    b : bool
+        Returns True if the arrays are equal.
+
+    Examples
+    --------
+    >>> age = Axis('age',range(0,100,10))
+    >>> sex = Axis('sex',['M','W'])
+    >>> a = ndrange([age,sex])
+    >>> b = a.copy()
+    >>> larray_equal(a,b)
+    True
+    >>> b.
+    >>> b['W'] += 1
+    >>> larray_equal(a,b)
+    False
+    >>> c = a.copy()
+    >>> c = c.set_labels(x.sex, ['Men','Women'])
+    >>> larray_equal(a,c)
+    False
+    """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
         return False
     return (first.axes == other.axes and

From 8b9ee43f910959d869be5cbeda24119fe19ef731 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 14:23:17 +0100
Subject: [PATCH 182/899] Add _ in front of + Update doc of functions
 isnoneslice and  seq_summary.

---
 larray/core.py | 44 +++++++++++++++++++++++++++-----------------
 1 file changed, 27 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 48c0ef4c0..dd96ed9f8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -510,7 +510,7 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+    compares two LArrays and returns True if they have the same axes and elements, False otherwise.
 
     Parameters
     ----------
@@ -530,13 +530,11 @@ def larray_equal(first, other):
     >>> b = a.copy()
     >>> larray_equal(a,b)
     True
-    >>> b.
     >>> b['W'] += 1
     >>> larray_equal(a,b)
     False
-    >>> c = a.copy()
-    >>> c = c.set_labels(x.sex, ['Men','Women'])
-    >>> larray_equal(a,c)
+    >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
+    >>> larray_equal(a,b)
     False
     """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
@@ -545,10 +543,21 @@ def larray_equal(first, other):
             np.array_equal(np.asarray(first), np.asarray(other)))
 
 
-def isnoneslice(v):
+def _isnoneslice(v):
+    """
+    checks if input is slice(None) object.
+    """
     return isinstance(v, slice) and v == slice(None)
 
-def seq_summary(seq, num=3, func=repr):
+def _seq_summary(seq, num=3, func=repr):
+    """
+    returns a string representing a sequence by showing only the n first and last elements.
+
+    Examples
+    --------
+    >>> _seq_summary(range(10),2)
+    '0 1 ... 8 9'
+    """
     def shorten(l):
         return l if len(l) <= 2 * num else l[:num] + ['...'] + list(l[-num:])
 
@@ -556,6 +565,7 @@ def shorten(l):
 
 
 class PGroupMaker(object):
+    
     def __init__(self, axis):
         assert isinstance(axis, Axis)
         self.axis = axis
@@ -910,7 +920,7 @@ def repr_on_strings(v):
                 return repr(v)
             else:
                 return str(v)
-        return seq_summary(self.labels, func=repr_on_strings)
+        return _seq_summary(self.labels, func=repr_on_strings)
 
     # method factory
     def _binop(opname):
@@ -1138,7 +1148,7 @@ def __str__(self):
         if isinstance(key, slice):
             str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
-            str_key = '[%s]' % seq_summary(key, 1)
+            str_key = '[%s]' % _seq_summary(key, 1)
         else:
             str_key = repr(key)
 
@@ -2701,7 +2711,7 @@ def _translated_key(self, key, bool_stuff=False):
             # or (most) slice(None) because except for a single slice(None)
             # a[:], I don't think there is any point.
             key = [axis_key for axis_key in key
-                   if not isnoneslice(axis_key) and axis_key is not Ellipsis]
+                   if not _isnoneslice(axis_key) and axis_key is not Ellipsis]
 
             # translate all keys to PGroup
             key = [self._translate_axis_key(axis_key,
@@ -2929,11 +2939,11 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         AxisCollection
         """
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
-                         if not isnoneslice(axis_key) and
-                            not np.isscalar(axis_key)]
+                         if not _isnoneslice(axis_key) and
+                         not np.isscalar(axis_key)]
         # scalar axes are not taken, since we want to kill them
         other_axes = [axis for axis_key, axis in zip(key, self.axes)
-                      if isnoneslice(axis_key)]
+                      if _isnoneslice(axis_key)]
         assert len(key) > 0
         axes_indices = [self.axes.index(axis) for axis in combined_axes]
         diff = np.diff(axes_indices)
@@ -2956,8 +2966,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         if combined_axis_pos is not None:
             if wildcard_allowed:
                 lengths = [len(axis_key) for axis_key in key
-                           if not isnoneslice(axis_key) and
-                              not np.isscalar(axis_key)]
+                           if not _isnoneslice(axis_key) and
+                           not np.isscalar(axis_key)]
                 combined_axis_len = lengths[0]
                 assert all(l == combined_axis_len for l in lengths)
                 combined_axis = Axis(combined_name, combined_axis_len)
@@ -2970,8 +2980,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                 #    separate axes. On the numpy backend we cannot.
                 axes_labels = [axis.labels[axis_key]
                                for axis_key, axis in zip(key, self.axes)
-                               if not isnoneslice(axis_key) and
-                                  not np.isscalar(axis_key)]
+                               if not _isnoneslice(axis_key) and
+                               not np.isscalar(axis_key)]
                 if len(combined_axes) == 1:
                     # Q: if axis is a wildcard axis, should the result be a
                     #    wildcard axis (and axes_labels discarded?)

From bd3a0a0e57690d40f58b88b70c4f4f2c7949d2c4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 17:21:31 +0100
Subject: [PATCH 183/899] Write documentation of PGroupMaker class + start
 documentation of Axis class

---
 larray/core.py | 99 ++++++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 87 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index dd96ed9f8..436b4f840 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -525,7 +525,7 @@ def larray_equal(first, other):
     Examples
     --------
     >>> age = Axis('age',range(0,100,10))
-    >>> sex = Axis('sex',['M','W'])
+    >>> sex = Axis('sex',['M','F'])
     >>> a = ndrange([age,sex])
     >>> b = a.copy()
     >>> larray_equal(a,b)
@@ -565,7 +565,18 @@ def shorten(l):
 
 
 class PGroupMaker(object):
-    
+    """
+    Generates a new instance of PGroup for a given axis and key.
+
+    Attributes
+    ----------
+    axis : Axis
+        an axis.
+
+    Notes:
+    ------
+    This class is used by the method `Axis.i`
+    """
     def __init__(self, axis):
         assert isinstance(axis, Axis)
         self.axis = axis
@@ -575,13 +586,41 @@ def __getitem__(self, key):
 
 
 class Axis(object):
+    """
+    represents an axis. It consists of a name and a list of labels.
+
+    Parameters
+    ----------
+    name : string or Axis
+        name of the axis or another instance of Axis.
+        In the second case, the name of the other axis is simply copied.
+    labels : array-like or int
+        collection of values usable as labels, i.e. scalars or strings or the size of the axis.
+        In the last case, the labels are given by the auto-generated list [0,1,...,size-1]
+
+    Attributes
+    ----------
+    name : string
+        name of the axis.
+    labels : array-like or int
+        collection of values usable as labels, i.e. scalars or strings
+
+    Examples
+    --------
+    >>> age = Axis('age',10)
+    >>> age
+    Axis('age', 10)
+    >>> age.name
+    'age'
+    >>> age.labels
+    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+    >>> sex = Axis('sex',['M','F'])
+    >>> sex
+    Axis('sex', ['M', 'F'])
+    """
     # ticks instead of labels?
     # XXX: make name and labels optional?
     def __init__(self, name, labels):
-        """
-        labels should be an array-like (convertible to an ndarray)
-        or a int (the size of the Axis)
-        """
         if isinstance(name, Axis):
             name = name.name
         # make sure we do not have np.str_ as it causes problems down the
@@ -600,6 +639,7 @@ def __init__(self, name, labels):
 
     @property
     def _mapping(self):
+        # to map labels with their positions
         mapping = self.__mapping
         if mapping is None:
             labels = self._labels
@@ -639,6 +679,10 @@ def _sorted_keys(self):
 
     @property
     def _sorted_values(self):
+        # TODO: simplify this method
+        # if self.__sorted_values is None:
+        #   self._update_key_values()
+        # return self.__sorted_values
         values = self.__sorted_values
         if values is None:
             _, values = self._update_key_values()
@@ -661,14 +705,14 @@ def labels(self, labels):
             labels = np.arange(length)
             iswildcard = True
         else:
-            # TODO: move this to to_ticks????
+            # TODO: move this to _to_ticks????
             # we convert to an ndarray to save memory for scalar ticks (for
             # LGroup ticks, it does not make a difference since a list of VG
             # and an ndarray of VG are both arrays of pointers)
             ticks = _to_ticks(labels)
-            object_array = isinstance(ticks, np.ndarray) and \
-                           ticks.dtype.type == np.object_
-            can_have_groups = object_array or isinstance(ticks, (tuple, list))
+            is_object_array = isinstance(ticks, np.ndarray) and \
+                              ticks.dtype.type == np.object_
+            can_have_groups = is_object_array or isinstance(ticks, (tuple, list))
             if can_have_groups and any(
                     isinstance(tick, LGroup) for tick in ticks):
                 # avoid getting a 2d array if all LGroup have the same length
@@ -690,8 +734,27 @@ def iswildcard(self):
     # XXX: not sure I should offer an *args version
     def group(self, *args, **kwargs):
         """
+        returns a group (list or unique element) of label(s) usable in .sum or .filter
+
+        Parameters
+        ----------
+        *args
+            (collection of) selected label(s) to form a group.
+        **kwargs
+            name of the group. There is no other accepted keywords.
+
+        Returns
+        -------
+        result : LGroup
+            group containing selected label(s).
+
+        Notes
+        -----
         key is label-based (slice and fancy indexing are supported)
-        returns a LGroup usable in .sum or .filter
+
+        See Also
+        --------
+        LGroup
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -704,11 +767,23 @@ def group(self, *args, **kwargs):
         return LGroup(key, name, self)
 
     def all(self, name=None):
+        """
+        returns a group containing all labels.
+
+        Parameters
+        ----------
+        name : string, optional
+            name of the group. If not provided, name is set to 'all'.
+
+        See Also
+        --------
+        Axis.group
+        """
         return self.group(slice(None), name=name if name is not None else "all")
 
     def subaxis(self, key, name=None):
         """
-        returns an Axis for a sub-array
+        returns an axis for a sub-array
         key is index-based (slice and fancy indexing are supported)
 
         if key is a None slice and name is None, returns the original Axis

From 653d2b488f2b7379835e59770868a255b1ae0a5d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Nov 2016 16:11:58 +0100
Subject: [PATCH 184/899] update documentation of Axis class.

---
 larray/core.py | 226 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 197 insertions(+), 29 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 436b4f840..950be2772 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -130,7 +130,7 @@ def _srange(*args):
 
     Returns
     -------
-    srange : list of str
+    list of str
         Array of evenly spaced values.
 
     Examples
@@ -143,6 +143,9 @@ def _srange(*args):
     ['1', '3', '5', '7']
     """
     return list(map(str, range(*args)))
+    # AD -- return (str(e) for e in range(*args))
+
+
 
 
 def _range_to_slice(seq, length=None):
@@ -160,7 +163,7 @@ def _range_to_slice(seq, length=None):
 
     Returns
     -------
-    result : slice or sequence-like
+    slice or sequence-like
         return the input sequence if a slice cannot be defined
 
     Examples
@@ -243,9 +246,9 @@ def _slice_str_to_range(s):
     s : str
         Sting representing a slice
 
-    Returns:
-    --------
-    result : list of str
+    Returns
+    -------
+    list of str
         Array of evenly spaced values.
 
     Examples:
@@ -279,9 +282,9 @@ def _to_string(v):
         (group of) tick(s).
         slice objects are converted in string using `_slice_to_str` function.
 
-    Returns:
-    --------
-    result : str
+    Returns
+    -------
+    str
         string representing a (group of) tick(s)
     """
     if isinstance(v, slice):
@@ -330,7 +333,7 @@ def _to_ticks(s):
 
     Returns
     -------
-    result : collection of labels
+    collection of labels
 
     Notes
     -----
@@ -380,8 +383,18 @@ def to_key(v):
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
 
-    Notes:
-    ------
+    Parameters
+    ----------
+    v : int or basestring or tuple or list or slice or LArray or Group
+        value to convert into a key usable for indexing
+
+    Returns
+    -------
+    key
+        a key represents any object that can be used for indexing
+
+    Notes
+    -----
     "int strings" are not converted to int.
 
     Examples:
@@ -440,7 +453,7 @@ def to_keys(value):
 
     Returns
     -------
-    result : list of keys
+    list of keys
 
     See Also
     --------
@@ -490,12 +503,12 @@ def union(*args):
     Parameters
     ----------
     *args
-        (collection of) values to be converted into keys.
-        Repeated values into taken into account once.
+        (collection of) value(s) to be converted into label(s).
+        Repeated values are taken only once.
 
     Returns
     -------
-    result : list of keys
+    list of labels
 
     Examples
     --------
@@ -519,7 +532,7 @@ def larray_equal(first, other):
 
     Returns
     -------
-    b : bool
+    bool
         Returns True if the arrays are equal.
 
     Examples
@@ -596,7 +609,7 @@ class Axis(object):
         In the second case, the name of the other axis is simply copied.
     labels : array-like or int
         collection of values usable as labels, i.e. scalars or strings or the size of the axis.
-        In the last case, the labels are given by the auto-generated list [0,1,...,size-1]
+        In the last case, a wildcard axis is created.
 
     Attributes
     ----------
@@ -680,9 +693,9 @@ def _sorted_keys(self):
     @property
     def _sorted_values(self):
         # TODO: simplify this method
-        # if self.__sorted_values is None:
-        #   self._update_key_values()
-        # return self.__sorted_values
+        # AD -- if self.__sorted_values is None:
+        #          self._update_key_values()
+        #       return self.__sorted_values
         values = self.__sorted_values
         if values is None:
             _, values = self._update_key_values()
@@ -732,6 +745,7 @@ def iswildcard(self):
         return self._iswildcard
 
     # XXX: not sure I should offer an *args version
+    # AD -- def group(key, name=None):
     def group(self, *args, **kwargs):
         """
         returns a group (list or unique element) of label(s) usable in .sum or .filter
@@ -745,7 +759,7 @@ def group(self, *args, **kwargs):
 
         Returns
         -------
-        result : LGroup
+        LGroup
             group containing selected label(s).
 
         Notes
@@ -755,6 +769,12 @@ def group(self, *args, **kwargs):
         See Also
         --------
         LGroup
+
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.group(10,18,name='teenagers')
+        LGroup([10, 18], name='teenagers', axis=Axis('age', 100))
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -784,9 +804,32 @@ def all(self, name=None):
     def subaxis(self, key, name=None):
         """
         returns an axis for a sub-array
+
+        Parameters
+        ----------
+        key : key
+            input key can be a LArray or a (collection of) label(s).
+
+        name : string, optional
+            name of the subaxis.
+            If input name is None, the name of the subaxis is the same as parent axis.
+
+        Returns
+        -------
+        Axis
+            subaxis.
+            If key is a None slice and name is None, the original Axis is returned.
+            If key is a LArray, the list of axes is returned.
+
+        Notes
+        -----
         key is index-based (slice and fancy indexing are supported)
 
-        if key is a None slice and name is None, returns the original Axis
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.subaxis(range(10,18),name='teenagers')
+        Axis('teenagers', 8)
         """
         if (name is None and isinstance(key, slice) and
                 key.start is None and key.stop is None and key.step is None):
@@ -803,6 +846,26 @@ def subaxis(self, key, name=None):
         return Axis(name, labels)
 
     def iscompatible(self, other):
+        """
+        checks if current axis is compatible with another.
+        Two axes are compatible is they have the same name and length.
+
+        Parameters
+        ----------
+        other : Axis
+            axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is compatible with current axis, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.iscompatible(age.rename('age_bis'))
+        False
+        """
         if self is other:
             return True
         if not isinstance(other, Axis):
@@ -818,6 +881,23 @@ def iscompatible(self, other):
             return np.array_equal(self.labels, other.labels)
 
     def equals(self, other):
+        """
+        checks if current axis is equal to another.
+        Two axes are equal if the have the same name and label(s)
+
+        Parameters
+        ----------
+        other : Axis
+            axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is equal to the current axis, False otherwise.
+
+        Examples
+        --------
+        """
         if self is other:
             return True
 
@@ -830,17 +910,50 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        returns a LGroup with all the labels matching (regex) the specified pattern
+        returns a group with all the labels matching (regex) the specified pattern
+
+        Parameters
+        ----------
+        pattern : string
+            regular expression (regex).
+
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
 
-        xm.axes.sutcode.matches('^..$') = labels 2 characters long
+        Notes
+        -----
+        See `Regular Expression <https://en.wikipedia.org/wiki/Regular_expression#Examples>`_
+        for more details about how to build a pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.matches('^W.*o$')
+        LGroup(['Waldo'])
         """
         return LGroup(self._axisregex(pattern))
 
     def startswith(self, pattern):
         """
-        returns a LGroup with the labels starting with the specified string
+        returns a group with the labels starting with the specified string
+
+        Parameters
+        ----------
+        pattern : string
+            pattern describing the first part of labels you want to get.
 
-        xm.axes.sutcode.startswith('25A')
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('Wa')
+        LGroup(['Waldo'])
         """
         res = self._axisregex('^%s.*' % pattern)
         return LGroup(res)
@@ -849,7 +962,21 @@ def endswith(self, pattern):
         """
         returns a LGroup with the labels ending with the specified string
 
-        xm.axes.sutcode.endswith('01')
+        Parameters
+        ----------
+        pattern : string
+            pattern describing the first part of labels you want to get.
+
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('do')
+        LGroup(['Waldo'])
         """
         res = self._axisregex('.*%s$' % pattern)
         return LGroup(res)
@@ -891,8 +1018,31 @@ def _is_key_type_compatible(self, key):
 
     def translate(self, key, bool_passthrough=True):
         """
-        translates a label key to its numerical index counterpart
+        translates a label key to its numerical index counterpart.
+
+        Parameters
+        ----------
+        key : key
+            Everything usable as a key.
+        bool_passthrough : bool, optional
+            If set to True and key is a boolean vector, it is returned as it.
+
+        Results
+        -------
+        result: (array of) int
+            Numerical index(ices) of (all) label(s) represented by the key
+
+        Notes
+        -----
         fancy index with boolean vectors are passed through unmodified
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.translate('Waldo')
+        3
+        >>> people.translate(people.matches('Bruce'))
+        array([1, 2])
         """
         mapping = self._mapping
 
@@ -990,6 +1140,14 @@ def __repr__(self):
         return 'Axis(%r, %r)' % (self.name, labels)
 
     def labels_summary(self):
+        """
+        returns a short representation of the labels.
+
+        Examples:
+        ---------
+        >>> Axis('age',100).labels_summary()
+        '0 1 2 ... 97 98 99'
+        """
         def repr_on_strings(v):
             if isinstance(v, str):
                 return repr(v)
@@ -999,6 +1157,10 @@ def repr_on_strings(v):
 
     # method factory
     def _binop(opname):
+        """
+        wrapper method that transforms current and other axis into LArray and
+        then applies binary operators of LArray.
+        """
         fullname = '__%s__' % opname
 
         def opmethod(self, other):
@@ -1053,9 +1215,15 @@ def opmethod(self, other):
     __matmul__ = _binop('matmul')
 
     def __larray__(self):
+        """
+        returns current axis as LArray.
+        """
         return labels_array(self)
 
     def copy(self):
+        """
+        creates a copy of the current axis.
+        """
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.
         # There should at least be an option.
@@ -1073,7 +1241,7 @@ def rename(self, name):
 
         Parameters
         ----------
-        newname : str
+        name : str
             the new name for the axis.
 
         Returns

From ac5190e535e86cf8cd0c4e7f81286b872dd13c5c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Nov 2016 16:58:42 +0100
Subject: [PATCH 185/899] update documentation of Group, LGroup and PGroup
 classes.

---
 larray/core.py | 62 +++++++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 56 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 950be2772..6091bd4e4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1272,6 +1272,28 @@ def _rename(self, name):
 # ticks/labels of the LGroup need to correspond to its *Axis*
 # indices
 class Group(object):
+    """Generic Group.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : string, optional
+        name of the group.
+    axis : int, str, Axis, optional
+        axis for group.
+
+    Attributes
+    ----------
+    key : key
+        Anything usable for indexing.
+    name : string
+        name of the group
+    axis : Axis
+        axis of the group.
+
+    """
     def __init__(self, key, name=None, axis=None):
         if isinstance(key, tuple):
             key = list(key)
@@ -1353,10 +1375,20 @@ def with_axis(self, axis):
 # TODO: factorize as much as possible between LGroup & PGroup (move stuff to
 #       Group)
 class LGroup(Group):
-    """
-    key should be either a sequence of labels, a slice with label bounds
-    or a string
-    axis can be an int, str or Axis
+    """Label group.
+
+    Represents a subset of labels of an axis.
+
+    See Also
+    --------
+    Group
+
+    Examples
+    --------
+    >>> age = Axis('age', range(100))
+    >>> teens = x.age[10:19].named('teens')
+    >>> teens
+    LGroup(slice(10, 19, None), name='teens', axis=AxisReference('age'))
     """
     # this makes range(LGroup(int)) possible
     def __index__(self):
@@ -1449,13 +1481,31 @@ def opmethod(self, other):
 
 
 class PGroup(Group):
-    """
-    Positional Group
+    """Positional Group.
+
+    Represents a subset of indices of an axis.
+
+    See Also
+    --------
+    Group
     """
     pass
 
 
 def index_by_id(seq, value):
+    """
+    returns position of a value in a sequence.
+
+    Raises
+    ------
+    ValueError
+        If `value` is not contained in `seq`.
+
+    Examples
+    --------
+    >>> index_by_id(['A','B','C','D','E','F','G','H'], 'D')
+    3
+    """
     for i, item in enumerate(seq):
         if item is value:
             return i

From ed1f8ada97dbd47bbb7964528ae0aa4ef69807c0 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Nov 2016 17:53:10 +0100
Subject: [PATCH 186/899] update documentation of AxisCollection + all doctests

---
 larray/core.py | 811 +++++++++++++++++++++++++++++++++++++------------
 1 file changed, 615 insertions(+), 196 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6091bd4e4..fc7d64067 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -116,7 +116,7 @@
 # TODO: return a generator, not a list
 def _srange(*args):
     """
-    Return evenly spaced values within a given interval as list of strings
+    Returns evenly spaced values within a given interval as list of strings
 
     Parameters
     ----------
@@ -150,7 +150,7 @@ def _srange(*args):
 
 def _range_to_slice(seq, length=None):
     """
-    returns a slice if possible (including for sequences of 1 element)
+    Returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
 
     Parameters
@@ -213,7 +213,7 @@ def _range_to_slice(seq, length=None):
 
 def _slice_to_str(key, use_repr=False):
     """
-    converts a slice to a string
+    Converts a slice to a string
 
     Examples:
     ---------
@@ -238,7 +238,7 @@ def _slice_to_str(key, use_repr=False):
 
 def _slice_str_to_range(s):
     """
-    converts a slice string to a list of (string) values.
+    Converts a slice string to a list of (string) values.
     The end point is included.
 
     Parameters:
@@ -274,7 +274,7 @@ def _slice_str_to_range(s):
 
 def _to_string(v):
     """
-    converts a (group of) tick(s) to a string
+    Converts a (group of) tick(s) to a string
 
     Parameters:
     -----------
@@ -300,7 +300,7 @@ def _to_string(v):
 
 def _to_tick(e):
     """
-    make it hashable, and acceptable as an ndarray element
+    Makes it hashable, and acceptable as an ndarray element
     scalar & VG -> not modified
     slice -> 'start:stop'
     list|tuple -> 'v1,v2,v3'
@@ -443,7 +443,7 @@ def to_key(v):
 
 def to_keys(value):
     """
-    converts a (collection of) group(s) to a structure usable for indexing.
+    Converts a (collection of) group(s) to a structure usable for indexing.
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
 
     Parameters
@@ -498,7 +498,7 @@ def to_keys(value):
 def union(*args):
     # TODO: add support for LGroup and lists
     """
-    returns the union of several "value strings" as a list.
+    Returns the union of several "value strings" as a list.
 
     Parameters
     ----------
@@ -523,7 +523,7 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
 
     Parameters
     ----------
@@ -543,7 +543,7 @@ def larray_equal(first, other):
     >>> b = a.copy()
     >>> larray_equal(a,b)
     True
-    >>> b['W'] += 1
+    >>> b['F'] += 1
     >>> larray_equal(a,b)
     False
     >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
@@ -558,13 +558,13 @@ def larray_equal(first, other):
 
 def _isnoneslice(v):
     """
-    checks if input is slice(None) object.
+    Checks if input is slice(None) object.
     """
     return isinstance(v, slice) and v == slice(None)
 
 def _seq_summary(seq, num=3, func=repr):
     """
-    returns a string representing a sequence by showing only the n first and last elements.
+    Returns a string representing a sequence by showing only the n first and last elements.
 
     Examples
     --------
@@ -600,7 +600,7 @@ def __getitem__(self, key):
 
 class Axis(object):
     """
-    represents an axis. It consists of a name and a list of labels.
+    Represents an axis. It consists of a name and a list of labels.
 
     Parameters
     ----------
@@ -652,7 +652,7 @@ def __init__(self, name, labels):
 
     @property
     def _mapping(self):
-        # to map labels with their positions
+        # To map labels with their positions
         mapping = self.__mapping
         if mapping is None:
             labels = self._labels
@@ -703,10 +703,30 @@ def _sorted_values(self):
 
     @property
     def i(self):
+        """
+        Allows to define a subset using positions of labels.
+
+        Examples
+        --------
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time', ['2007','2008','2009','2010'])
+        >>> arr = ndrange([sex,time])
+        >>> arr
+        sex\\time | 2007 | 2008 | 2009 | 2010
+               M |    0 |    1 |    2 |    3
+               F |    4 |    5 |    6 |    7
+        >>> arr[time.i[0,-1]]
+        sex\\time | 2007 | 2010
+               M |    0 |    3
+               F |    4 |    7
+        """
         return PGroupMaker(self)
 
     @property
     def labels(self):
+        """
+        List of labels.
+        """
         return self._labels
 
     @labels.setter
@@ -748,7 +768,7 @@ def iswildcard(self):
     # AD -- def group(key, name=None):
     def group(self, *args, **kwargs):
         """
-        returns a group (list or unique element) of label(s) usable in .sum or .filter
+        Returns a group (list or unique element) of label(s) usable in .sum or .filter
 
         Parameters
         ----------
@@ -788,7 +808,7 @@ def group(self, *args, **kwargs):
 
     def all(self, name=None):
         """
-        returns a group containing all labels.
+        Returns a group containing all labels.
 
         Parameters
         ----------
@@ -803,13 +823,12 @@ def all(self, name=None):
 
     def subaxis(self, key, name=None):
         """
-        returns an axis for a sub-array
+        Returns an axis for a sub-array.
 
         Parameters
         ----------
         key : key
             input key can be a LArray or a (collection of) label(s).
-
         name : string, optional
             name of the subaxis.
             If input name is None, the name of the subaxis is the same as parent axis.
@@ -847,7 +866,7 @@ def subaxis(self, key, name=None):
 
     def iscompatible(self, other):
         """
-        checks if current axis is compatible with another.
+        Checks if current axis is compatible with another.
         Two axes are compatible is they have the same name and length.
 
         Parameters
@@ -882,7 +901,7 @@ def iscompatible(self, other):
 
     def equals(self, other):
         """
-        checks if current axis is equal to another.
+        Checks if current axis is equal to another.
         Two axes are equal if the have the same name and label(s)
 
         Parameters
@@ -897,6 +916,16 @@ def equals(self, other):
 
         Examples
         --------
+        >>> age = Axis('age',range(5))
+        >>> age_2 = Axis('age',5)
+        >>> age_3 = Axis('young children', range(5))
+        >>> age_4 = Axis('age',[0,1,2,3,4])
+        >>> age.equals(age_2)
+        False
+        >>> age.equals(age_3)
+        False
+        >>> age.equals(age_4)
+        True
         """
         if self is other:
             return True
@@ -910,7 +939,7 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        returns a group with all the labels matching (regex) the specified pattern
+        Returns a group with all the labels matching (regex) the specified pattern
 
         Parameters
         ----------
@@ -929,15 +958,17 @@ def matches(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.matches('^W.*o$')
         LGroup(['Waldo'])
+        >>> people.matches('^[^a]*$')
+        LGroup(['Bruce Willis', 'Arthur Dent'])
         """
         return LGroup(self._axisregex(pattern))
 
     def startswith(self, pattern):
         """
-        returns a group with the labels starting with the specified string
+        Returns a group with the labels starting with the specified string
 
         Parameters
         ----------
@@ -951,16 +982,16 @@ def startswith(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('Wa')
-        LGroup(['Waldo'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('[^B]')
+        LGroup(['Waldo', 'Arthur Dent', 'Harvey Dent'])
         """
         res = self._axisregex('^%s.*' % pattern)
         return LGroup(res)
 
     def endswith(self, pattern):
         """
-        returns a LGroup with the labels ending with the specified string
+        Returns a LGroup with the labels ending with the specified string
 
         Parameters
         ----------
@@ -974,9 +1005,9 @@ def endswith(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('do')
-        LGroup(['Waldo'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.endswith('[o-z]')
+        LGroup(['Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         """
         res = self._axisregex('.*%s$' % pattern)
         return LGroup(res)
@@ -1018,7 +1049,7 @@ def _is_key_type_compatible(self, key):
 
     def translate(self, key, bool_passthrough=True):
         """
-        translates a label key to its numerical index counterpart.
+        Translates a label key to its numerical index counterpart.
 
         Parameters
         ----------
@@ -1027,9 +1058,9 @@ def translate(self, key, bool_passthrough=True):
         bool_passthrough : bool, optional
             If set to True and key is a boolean vector, it is returned as it.
 
-        Results
+        Returns
         -------
-        result: (array of) int
+        (array of) int
             Numerical index(ices) of (all) label(s) represented by the key
 
         Notes
@@ -1038,7 +1069,7 @@ def translate(self, key, bool_passthrough=True):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis('people', ['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.translate('Waldo')
         3
         >>> people.translate(people.matches('Bruce'))
@@ -1141,10 +1172,10 @@ def __repr__(self):
 
     def labels_summary(self):
         """
-        returns a short representation of the labels.
+        Returns a short representation of the labels.
 
-        Examples:
-        ---------
+        Examples
+        --------
         >>> Axis('age',100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
@@ -1158,7 +1189,7 @@ def repr_on_strings(v):
     # method factory
     def _binop(opname):
         """
-        wrapper method that transforms current and other axis into LArray and
+        Wrapper method that transforms current and other axis into LArray and
         then applies binary operators of LArray.
         """
         fullname = '__%s__' % opname
@@ -1216,13 +1247,13 @@ def opmethod(self, other):
 
     def __larray__(self):
         """
-        returns current axis as LArray.
+        Returns current axis as LArray.
         """
         return labels_array(self)
 
     def copy(self):
         """
-        creates a copy of the current axis.
+        Returns a copy of the current axis.
         """
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.
@@ -1237,7 +1268,8 @@ def copy(self):
 
     # XXX: rename to named like Group?
     def rename(self, name):
-        """Renames the axis.
+        """
+        Renames the axis.
 
         Parameters
         ----------
@@ -1249,8 +1281,8 @@ def rename(self, name):
         Axis
             a new Axis with the same labels but a different name.
 
-        Example
-        -------
+        Examples
+        --------
         >>> sex = Axis('sex', ['M', 'F'])
         >>> sex
         Axis('sex', ['M', 'F'])
@@ -1494,7 +1526,7 @@ class PGroup(Group):
 
 def index_by_id(seq, value):
     """
-    returns position of a value in a sequence.
+    Returns position of a value in a sequence.
 
     Raises
     ------
@@ -1516,10 +1548,40 @@ def index_by_id(seq, value):
 # not using namedtuple because we have to know the fields in advance (it is a
 # one-off class) and we need more functionality than just a named tuple
 class AxisCollection(object):
+    """
+    Represents a collection of axes.
+
+    Parameters:
+    -----------
+    axes : sequence of Axis or int or tuple or string objects, optional
+        an axis can be given as an Axis object, an int or a tuple (name,labels) or
+        a string of the kind 'name=label_1,label_2,label_3'.
+
+    Raises
+    ------
+    ValueError
+        Cannot have multiple occurrences of the same axis object in a collection.
+
+    Notes
+    -----
+    Multiple occurrences of the same axis is not allowed.
+    However, several axes with the same name but different labels are allowed
+    but it is not recommended.
+
+    Examples
+    --------
+    >>> age = Axis('age',range(20))
+    >>> sex = Axis('sex',['M','F'])
+    >>> AxisCollection([3,age,sex,('city',['London','Paris','Rome']),'time=2007,2008,2009,2010'])
+    AxisCollection([
+        Axis(None, 3),
+        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+        Axis('sex', ['M', 'F']),
+        Axis('city', ['London', 'Paris', 'Rome']),
+        Axis('time', ['2007', '2008', '2009', '2010'])
+    ])
+    """
     def __init__(self, axes=None):
-        """
-        :param axes: sequence of Axis (or int) objects
-        """
         if axes is None:
             axes = []
         elif isinstance(axes, (int, long, Axis)):
@@ -1543,6 +1605,7 @@ def make_axis(obj):
 
         axes = [make_axis(axis) for axis in axes]
         assert all(isinstance(a, Axis) for a in axes)
+        # check for duplicate axes
         dupe_axes = list(duplicates(axes))
         if dupe_axes:
             axis = dupe_axes[0]
@@ -1611,17 +1674,29 @@ def __getitem__(self, key):
     # make_numpy_broadcastable or made non default
     def get_by_pos(self, key, i):
         """
-        returns axis corresponding to key, or to i if key has no name and
-        key object not found
+        Returns axis corresponding to a key, or to position i if the key
+        has no name and key object not found.
 
         Parameters
         ----------
-        key
-        i
+        key : key
+            key corresponding to an axis.
+        i : int
+            position of the axis (used only if search by key failed).
 
         Returns
         -------
+        Axis
+            axis corresponding to the key or the position i.
 
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.get_by_pos('sex',1)
+        Axis('sex', ['M', 'F'])
         """
         if isinstance(key, Axis) and key.name is None:
             try:
@@ -1703,7 +1778,7 @@ def __radd__(self, other):
 
     def __and__(self, other):
         """
-        returns the intersection of this collection and other
+        Returns the intersection of this collection and other
         """
         if not isinstance(other, AxisCollection):
             other = AxisCollection(other)
@@ -1719,7 +1794,7 @@ def contains(col, i, axis):
 
     def __eq__(self, other):
         """
-        other collection compares equal if all axes compare equal and in the
+        Other collection compares equal if all axes compare equal and in the
         same order. Works with a list.
         """
         if self is other:
@@ -1749,6 +1824,33 @@ def __contains__(self, key):
         return key in self._map
 
     def isaxis(self, value):
+        """
+        Tests if input is an Axis object or the name of an axis
+        contained in the current AxisCollection instance.
+
+        Parameters
+        ----------
+        value : Axis or string
+            input axis or string
+        Returns
+        -------
+        bool
+            True if input is an Axis object or the name of an axis contained in
+            the current AxisCollection instance, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.isaxis(age)
+        True
+        >>> col.isaxis('time')
+        True
+        >>> col.isaxis('city')
+        False
+        """
         # this is tricky. 0 and 1 can be both axes indices and axes ticks.
         # not sure what's worse:
         # 1) disallow aggregates(axis_num)
@@ -1786,6 +1888,34 @@ def __repr__(self):
         return "AxisCollection([\n    %s\n])" % ',\n    '.join(axes_repr)
 
     def get(self, key, default=None, name=None):
+        """
+        Returns axis corresponding to key. If not found, the argument `name` is
+        used to create a new Axis. If `name` is None, the `default` axis is then returned.
+
+        Parameters
+        ----------
+        key : key
+            key corresponding to an axis of the current AxisCollection.
+        default : axis, optional
+            default axis to return if key doesn't correspond to any axis of the current
+            AxisCollection and argument `name` is None.
+        name : string, optional
+            if key doesn't correspond to any axis of the current AxisCollection,
+            a new Axis with this name is created and returned.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,time])
+        >>> col.get('time')
+        Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col.get('sex',sex)
+        Axis('sex', ['M', 'F'])
+        >>> col.get('nb_children',None,'nb_children')
+        Axis('nb_children', 1)
+        """
         # XXX: use if key in self?
         try:
             return self[key]
@@ -1797,8 +1927,8 @@ def get(self, key, default=None, name=None):
 
     def get_all(self, key):
         """
-        returns all axes from key if present and length 1 wildcard axes
-        otherwise
+        Returns all axes from key if present and length 1 wildcard axes
+        otherwise.
 
         Parameters
         ----------
@@ -1807,6 +1937,26 @@ def get_all(self, key):
         Returns
         -------
         AxisCollection
+
+        Raises
+        ------
+        AssertionError
+            raised if the input key is not an AxisCollection object.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> city = Axis('city',['London','Paris','Rome'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col2 = AxisCollection([age,city,time])
+        >>> col2
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('city', ['London', 'Paris', 'Rome']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         assert isinstance(key, AxisCollection)
         def get_pos_default(k, i):
@@ -1823,21 +1973,88 @@ def get_pos_default(k, i):
                                for i, k in enumerate(key)])
 
     def keys(self):
+        """
+        Returns list of all axis names.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).keys()
+        ['age', 'sex', 'time']
+        """
         # XXX: include id/num for anonymous axes? I think I should
         return [a.name for a in self._list]
 
     def pop(self, axis=-1):
+        """
+        Deletes and returns an axis.
+        If no argument provided, the last axis is deleted and returned.
+
+        Parameters
+        ----------
+        axis : key, optional
+            axis to delete and return (default value is -1).
+
+        Returns
+        -------
+        Axis
+            If no argument is provided, the last axis is deleted and returned.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.pop('age')
+        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+        >>> col
+        AxisCollection([
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
+        >>> col.pop()
+        Axis('time', ['2007', '2008', '2009', '2010'])
+        """
         axis = self[axis]
         del self[axis]
         return axis
 
     def append(self, axis):
         """
-        append axis at the end of the collection
+        Appends axis at the end of the collection.
+
+        Parameters
+        ----------
+        axis : Axis
+            axis to append.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex])
+        >>> col.append(time)
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         self[len(self):len(self)] = [axis]
 
     def check_compatible(self, axes):
+        """
+        Checks if axes are all compatible. Raises a ValueError if not.
+
+        See Also
+        --------
+        Axis.iscompatible
+        """
         for i, axis in enumerate(axes):
             local_axis = self.get_by_pos(axis, i)
             if not local_axis.iscompatible(axis):
@@ -1846,7 +2063,32 @@ def check_compatible(self, axes):
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """
-        extend the collection by appending the axes from axes
+        Extends the collection by appending the axes from axes.
+
+        Parameters
+        ----------
+        axes : sequence of Axis (list, tuple, AxisCollection)
+        validate : bool, optional
+        replace_wildcards : bool, optional
+
+        Raises
+        ------
+        TypeError
+            raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection(age)
+        >>> col.extend([sex,time])
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         # axes should be a sequence
         if not isinstance(axes, (tuple, list, AxisCollection)):
@@ -1882,14 +2124,39 @@ def get_axis(col, i, axis):
 
     def index(self, axis):
         """
-        returns the index of axis.
+        Returns the index of axis.
 
-        axis can be a name or an Axis object (or an index)
-        if the Axis object itself exists in the list, index() will return it
-        otherwise, it will return the index of the local axis with the same
+        `axis` can be a name or an Axis object (or an index).
+        If the Axis object itself exists in the list, index() will return it.
+        Otherwise, it will return the index of the local axis with the same
         name than the key (whether it is compatible or not).
 
-        Raises ValueError if the axis is not present.
+        Parameters
+        ----------
+        axis : Axis or int or string
+            can be the axis itself or its position (returned if represents a valid index)
+            or its name.
+
+        Returns
+        -------
+        int
+            index of the axis.
+
+        Raises
+        ------
+        ValueError
+            raised if the axis is not present.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.index(time)
+        2
+        >>> col.index('sex')
+        1
         """
         if isinstance(axis, int):
             if -len(self) <= axis < len(self):
@@ -1914,14 +2181,65 @@ def index(self, axis):
     # other inplace operations: append, extend, pop, __delitem__, __setitem__)
     def insert(self, index, axis):
         """
-        insert axis before index
+        Inserts axis before index.
+
+        Parameters
+        ----------
+        index : int
+            position of the inserted axis.
+        axis : Axis
+            axis to insert.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,time])
+        >>> col.insert(1,sex)
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         self[index:index] = [axis]
 
     def copy(self):
+        """
+        Returns a copy.
+        """
         return self[:]
 
     def replace(self, old, new):
+        """
+        Replaces an axis
+
+        Parameters
+        ----------
+        old : Axis
+            axis to be replaced
+        new : Axis
+            axis to be put in place of the `old` axis.
+
+        Returns
+        -------
+        AxisCollection
+            updated AxisCollection.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> age_new = Axis('age',range(10))
+        >>> sex = Axis('sex',['M','F'])
+        >>> col = AxisCollection([age,sex])
+        >>> col.replace(age, age_new)
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
+            Axis('sex', ['M', 'F'])
+        ])
+        """
         res = self[:]
         res[old] = new
         return res
@@ -1929,17 +2247,46 @@ def replace(self, old, new):
     # XXX: kill this method?
     def without(self, axes):
         """
-        returns a new collection without some axes
-        you can use a comma separated list of names
+        Returns a new collection without some axes.
+
+        You can use a comma separated list of names.
+
+        Parameters
+        ----------
+        axes : sequence of Axis or string
+            axes to not include in the returned AxisCollection.
+
+        Returns
+        -------
+        AxisCollection
+            new collection without some axes.
+
+        Notes
+        -----
         set operations so axes can contain axes not present in self
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.without([age,sex])
+        AxisCollection([
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
+        >>> col.without('sex,time')
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+        ])
         """
         return self - axes
 
     def __sub__(self, axes):
         """
-        returns a new collection without some axes
-        you can use a comma separated list of names
-        set operations so axes can contain axes not present in self
+        See Also
+        --------
+        without
         """
         if isinstance(axes, basestring):
             axes = axes.split(',')
@@ -1953,16 +2300,30 @@ def __sub__(self, axes):
 
     def translate_full_key(self, key):
         """
+        Translates a label-based key to a positional key.
+
         Parameters
         ----------
         key : tuple
-            a full label-based key. All dimensions must be present and in
-            the correct order.
+            a full label-based key.
+            All dimensions must be present and in the correct order.
 
         Returns
         -------
         tuple
             a full positional key
+
+        See Also
+        --------
+        Axis.translate
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).translate_full_key([':','F','2009'])
+        (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
         return tuple(axis.translate(axis_key)
@@ -1970,46 +2331,65 @@ def translate_full_key(self, key):
 
     @property
     def labels(self):
-        """Returns the list of labels of the axes"""
+        """
+        Returns the list of labels of the axes.
+
+        Returns
+        -------
+        list
+            list of labels of the axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(10))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).labels
+        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
+              dtype='<U1'), array(['2007', '2008', '2009', '2010'],
+              dtype='<U4')]
+        """
         return [axis.labels for axis in self._list]
 
     @property
     def names(self):
-        """Returns the list of (raw) names of the axes
+        """
+        Returns the list of (raw) names of the axes.
 
         Returns
         -------
-        List
-            List of names of the axes
+        list
+            list of names of the axes.
 
-        Example
-        -------
-        >>> a = Axis('a', ['a1', 'a2'])
-        >>> b = Axis('b', 2)
-        >>> c = Axis(None, ['c1', 'c2'])
-        >>> arr = zeros([a, b, c])
-        >>> arr.axes.names
-        ['a', 'b', None]
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).names
+        ['age', 'sex', 'time']
         """
         return [axis.name for axis in self._list]
 
     @property
     def display_names(self):
-        """Returns the list of (display) names of the axes
+        """
+        Returns the list of (display) names of the axes.
 
         Returns
         -------
-        List
-            List of names of the axes
+        list
+            list of names of the axes.
+            Wildcard axes are displayed with an attached *.
+            Anonymous axes (name = None) are replaced by their position in braces.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', 2)
         >>> c = Axis(None, ['c1', 'c2'])
         >>> d = Axis(None, 3)
-        >>> col = AxisCollection([a, b, c, d])
-        >>> col.display_names
+        >>> AxisCollection([a, b, c, d]).display_names
         ['a', 'b*', '{2}', '{3}*']
         """
         def display_name(i, axis):
@@ -2020,35 +2400,40 @@ def display_name(i, axis):
 
     @property
     def ids(self):
-        """Returns the list of ids of the axes
+        """
+        Returns the list of ids of the axes.
 
         Returns
         -------
         list
-            List of ids of the axes
+            list of ids of the axes.
 
-        Example
-        -------
+        See Also
+        --------
+        axis_id
+
+        Examples
+        --------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
-        >>> col = AxisCollection([a, b, c])
-        >>> col.ids
+        >>> AxisCollection([a, b, c]).ids
         ['a', 1, 'c']
         """
         return [axis.name if axis.name is not None else i
                 for i, axis in enumerate(self._list)]
 
     def axis_id(self, axis):
-        """Returns the id of an axis
+        """
+        Returns the id of an axis.
 
         Returns
         -------
         str or int
-            id of axis, which is its name if defined and its position otherwise
+            id of axis, which is its name if defined and its position otherwise.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
@@ -2065,30 +2450,64 @@ def axis_id(self, axis):
 
     @property
     def shape(self):
+        """
+        Returns the shape of the collection.
+
+        Returns
+        -------
+        tuple
+            tuple of lengths of axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).shape
+        (20, 2, 4)
+        """
         return tuple(len(axis) for axis in self._list)
 
     @property
     def size(self):
+        """
+        Returns the size of the collection, i.e. the product of lengths of axes.
+
+        Returns
+        -------
+        int
+            product of lengths of axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).size
+        160
+        """
         return np.prod(self.shape)
 
     @property
     def info(self):
-        """Describes an AxisCollection (shape and labels for each axis).
+        """
+        Describes an AxisCollection (shape and labels for each axis).
 
         Returns
         -------
-        String
-            Description of the AxisCollection (shape and labels for each axis).
+        string
+            description of the AxisCollection (shape and labels for each axis).
 
-        Example
-        -------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> axes = AxisCollection([nat, sex])
-        >>> axes.info
-        2 x 2
-         nat [2]: 'BE' 'FO'
+        Examples
+        --------
+        >>> age = Axis('age',20)
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).info
+        20 x 2 x 4
+         age* [20]: 0 1 2 ... 17 18 19
          sex [2]: 'M' 'F'
+         time [4]: '2007' '2008' '2009' '2010'
         """
         lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
                  for name, axis in zip(self.display_names, self._list)]
@@ -2108,8 +2527,8 @@ def all(values, axis=None):
     -------
     LArray or scalar
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> a = ndrange([nat, sex]) >= 1
@@ -2141,8 +2560,8 @@ def any(values, axis=None):
     -------
     LArray or scalar
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> a = ndrange([nat, sex]) >= 3
@@ -2637,8 +3056,8 @@ def rename(self, renames=None, to=None, **kwargs):
         LArray
             array with some axes renamed.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = ndrange([nat, sex])
@@ -2687,8 +3106,8 @@ def sort_values(self, key):
         LArray
             LArray with sorted values.
 
-        Example
-        -------
+        Examples
+        --------
         >>> sex = Axis('sex', ['M', 'F'])
         >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
         >>> xtype = Axis('type', ['type1', 'type2'])
@@ -3762,8 +4181,8 @@ def with_total(self, *args, **kwargs):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = ndrange([nat, sex])
@@ -3838,8 +4257,8 @@ def argmin(self, axis=None):
         In case of multiple occurrences of the minimum values, the indices
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3880,8 +4299,8 @@ def posargmin(self, axis=None):
         In case of multiple occurrences of the minimum values, the indices
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3920,8 +4339,8 @@ def argmax(self, axis=None):
         In case of multiple occurrences of the maximum values, the labels
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3962,8 +4381,8 @@ def posargmax(self, axis=None):
         In case of multiple occurrences of the maximum values, the labels
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4005,8 +4424,8 @@ def argsort(self, axis=None, kind='quicksort'):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4052,8 +4471,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4088,8 +4507,8 @@ def info(self):
         str
             Description of the LArray (shape and labels for each axis).
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> mat0 = ones([nat, sex])
@@ -4112,8 +4531,8 @@ def ratio(self, *axes):
         LArray
             array / array.sum(axes)
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
@@ -4203,8 +4622,8 @@ def percent(self, *axes):
         LArray
             array / array.sum(axes) * 100
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
@@ -4407,8 +4826,8 @@ def divnot0(self, other):
         LArray
             array divided by other, 0.0 where other is 0
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = ndrange((nat, sex))
@@ -4464,8 +4883,8 @@ def expand(self, target_axes=None, out=None, readonly=False):
         LArray
             original array if possible (and out is None)
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', ['b1', 'b2'])
         >>> arr = ndrange([a, b])
@@ -4534,8 +4953,8 @@ def append(self, axis, value, label=None):
         LArray
             array expanded with 'value' along 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex |   M |   F
@@ -4590,8 +5009,8 @@ def prepend(self, axis, value, label=None):
         LArray
             array expanded with 'value' at the start of 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
         nat\sex |   M |   F
@@ -4644,8 +5063,8 @@ def extend(self, axis, other):
         LArray
             array expanded with 'other' along 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> sex2 = Axis('sex', ['U'])
@@ -4699,8 +5118,8 @@ def transpose(self, *args):
         LArray
             LArray with reordered axes.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange([('nat', 'BE,FO'),
         ...              ('sex', 'M,F'),
         ...              ('alive', [False, True])])
@@ -4788,8 +5207,8 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
             Drop lines if 'all' its values are NA, if 'any' value is NA or do
             not drop any line (default). True is equivalent to 'all'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
@@ -4841,8 +5260,8 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         *args
         **kargs
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_hdf('test.h5', 'a')
         """
@@ -4889,8 +5308,8 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
         *args
         **kargs
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> # write to a new (unnamed) sheet
         >>> a.to_excel('test.xlsx')  # doctest: +SKIP
@@ -4951,8 +5370,8 @@ def to_clipboard(self, *args, **kwargs):
         using to_clipboard() makes it possible to paste the content of LArray
         into a file (Excel, ascii file,...)
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_clipboard()  # doctest: +SKIP
         """
@@ -5004,8 +5423,8 @@ def plot(self):
         the graph can be tweaked to achieve the desired formatting and can be
         saved to a .png file
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.plot()  # doctest: +SKIP
         """
@@ -5020,8 +5439,8 @@ def shape(self):
         -------
             returns string representation of current shape.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
         >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
@@ -5037,8 +5456,8 @@ def ndim(self):
         -------
             returns the number of dimensions of a LArray.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.ndim
         2
@@ -5055,8 +5474,8 @@ def size(self):
         int
             returns the number of cells in array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3')
         >>> a.size
         6
@@ -5073,8 +5492,8 @@ def nbytes(self):
         int
             returns the number of bytes in array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.nbytes
         48
@@ -5091,8 +5510,8 @@ def memory_used(self):
         str
             returns the memory used by the array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.memory_used
         '48 bytes'
@@ -5109,8 +5528,8 @@ def dtype(self):
         dtype
             returns the type of the data in the cells of LArray.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = zeros('sex=M,F;type=type1,type2,type3')
         >>> a.dtype
         dtype('float64')
@@ -5148,8 +5567,8 @@ def set_labels(self, axis, labels, inplace=False):
         LArray
             array with modified labels.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
@@ -5188,8 +5607,8 @@ def shift(self, axis, n=1):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3')
         >>> a
         sex\\type | type1 | type2 | type3
@@ -5339,8 +5758,8 @@ def compact(self):
         LArray or scalar
             array with constant axes removed
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = LArray([[1, 2],
         ...             [1, 2]], [Axis('sex', 'M,F'), Axis('nat', 'BE,FO')])
         >>> a
@@ -5701,8 +6120,8 @@ def zeros_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> zeros_like(a)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5731,8 +6150,8 @@ def ones(axes, dtype=float, order='C'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> ones([nat, sex])
@@ -5763,8 +6182,8 @@ def ones_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> ones_like(a)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5794,8 +6213,8 @@ def empty(axes, dtype=float, order='C'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> empty([nat, sex])  # doctest: +SKIP
@@ -5827,8 +6246,8 @@ def empty_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((3, 2))
     >>> empty_like(a)   # doctest: +SKIP
     -\- |                  0 |                  1
@@ -5905,8 +6324,8 @@ def full_like(array, fill_value, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> full_like(a, 5)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5953,8 +6372,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
         axes of the result. Defaults to the union of axes present in other
         arguments.
 
-    Example
-    -------
+    Examples
+    --------
     >>> year = Axis('year', range(2016, 2020))
     >>> sex = Axis('sex', ['M', 'F'])
     >>> create_sequential(year)
@@ -6349,8 +6768,8 @@ def labels_array(axes):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> labels_array(sex)
@@ -6413,8 +6832,8 @@ def eye(rows, columns=None, k=0, dtype=None):
         An array where all elements are equal to zero, except for the k-th
         diagonal, whose values are equal to one.
 
-    Example
-    -------
+    Examples
+    --------
     >>> eye(2, dtype=int)
     {0}*\\{1}* | 0 | 1
             0 | 1 | 0

From f5c419675f762a33df34972eef32e47d672d0d3a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 10:06:53 +0100
Subject: [PATCH 187/899] update doctests (add whitespaces after commas).

---
 larray/core.py | 229 +++++++++++++++++++++++++------------------------
 1 file changed, 115 insertions(+), 114 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index fc7d64067..a2fd726b8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -137,9 +137,9 @@ def _srange(*args):
     --------
     >>> _srange(8)
     ['0', '1', '2', '3', '4', '5', '6', '7']
-    >>> _srange(5,8)
+    >>> _srange(5, 8)
     ['5', '6', '7']
-    >>> _srange(1,8,2)
+    >>> _srange(1, 8, 2)
     ['1', '3', '5', '7']
     """
     return list(map(str, range(*args)))
@@ -397,8 +397,8 @@ def to_key(v):
     -----
     "int strings" are not converted to int.
 
-    Examples:
-    ---------
+    Examples
+    --------
     >>> to_key('a:c')
     slice('a', 'c', None)
     >>> to_key('a, b,c ,')
@@ -512,7 +512,7 @@ def union(*args):
 
     Examples
     --------
-    >>> union('a', 'a,b,c,d', ['d','e','f'], ':2')
+    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
     ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
     if args:
@@ -537,17 +537,17 @@ def larray_equal(first, other):
 
     Examples
     --------
-    >>> age = Axis('age',range(0,100,10))
-    >>> sex = Axis('sex',['M','F'])
-    >>> a = ndrange([age,sex])
+    >>> age = Axis('age', range(0, 100, 10))
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([age, sex])
     >>> b = a.copy()
-    >>> larray_equal(a,b)
+    >>> larray_equal(a, b)
     True
     >>> b['F'] += 1
-    >>> larray_equal(a,b)
+    >>> larray_equal(a, b)
     False
-    >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
-    >>> larray_equal(a,b)
+    >>> b = a.set_labels(x.sex, ['Men', 'Women']).copy()
+    >>> larray_equal(a, b)
     False
     """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
@@ -568,7 +568,7 @@ def _seq_summary(seq, num=3, func=repr):
 
     Examples
     --------
-    >>> _seq_summary(range(10),2)
+    >>> _seq_summary(range(10), 2)
     '0 1 ... 8 9'
     """
     def shorten(l):
@@ -620,14 +620,14 @@ class Axis(object):
 
     Examples
     --------
-    >>> age = Axis('age',10)
+    >>> age = Axis('age', 10)
     >>> age
     Axis('age', 10)
     >>> age.name
     'age'
     >>> age.labels
     array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
-    >>> sex = Axis('sex',['M','F'])
+    >>> sex = Axis('sex', ['M', 'F'])
     >>> sex
     Axis('sex', ['M', 'F'])
     """
@@ -708,14 +708,14 @@ def i(self):
 
         Examples
         --------
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time', ['2007','2008','2009','2010'])
-        >>> arr = ndrange([sex,time])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> arr = ndrange([sex, time])
         >>> arr
         sex\\time | 2007 | 2008 | 2009 | 2010
                M |    0 |    1 |    2 |    3
                F |    4 |    5 |    6 |    7
-        >>> arr[time.i[0,-1]]
+        >>> arr[time.i[0, -1]]
         sex\\time | 2007 | 2010
                M |    0 |    3
                F |    4 |    7
@@ -792,9 +792,9 @@ def group(self, *args, **kwargs):
 
         Examples
         --------
-        >>> age = Axis('age',100)
-        >>> age.group(10,18,name='teenagers')
-        LGroup([10, 18], name='teenagers', axis=Axis('age', 100))
+        >>> age = Axis('age', 100)
+        >>> age.group('10:20', name='teenagers')
+        LGroup('10:20', name='teenagers', axis=Axis('age', 100))
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -846,8 +846,8 @@ def subaxis(self, key, name=None):
 
         Examples
         --------
-        >>> age = Axis('age',100)
-        >>> age.subaxis(range(10,18),name='teenagers')
+        >>> age = Axis('age', 100)
+        >>> age.subaxis(range(10, 18), name='teenagers')
         Axis('teenagers', 8)
         """
         if (name is None and isinstance(key, slice) and
@@ -881,7 +881,7 @@ def iscompatible(self, other):
 
         Examples
         --------
-        >>> age = Axis('age',100)
+        >>> age = Axis('age', 100)
         >>> age.iscompatible(age.rename('age_bis'))
         False
         """
@@ -916,10 +916,10 @@ def equals(self, other):
 
         Examples
         --------
-        >>> age = Axis('age',range(5))
-        >>> age_2 = Axis('age',5)
+        >>> age = Axis('age', range(5))
+        >>> age_2 = Axis('age', 5)
         >>> age_3 = Axis('young children', range(5))
-        >>> age_4 = Axis('age',[0,1,2,3,4])
+        >>> age_4 = Axis('age', [0, 1, 2, 3, 4])
         >>> age.equals(age_2)
         False
         >>> age.equals(age_3)
@@ -1176,7 +1176,7 @@ def labels_summary(self):
 
         Examples
         --------
-        >>> Axis('age',100).labels_summary()
+        >>> Axis('age', 100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
         def repr_on_strings(v):
@@ -1535,7 +1535,7 @@ def index_by_id(seq, value):
 
     Examples
     --------
-    >>> index_by_id(['A','B','C','D','E','F','G','H'], 'D')
+    >>> index_by_id(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'], 'D')
     3
     """
     for i, item in enumerate(seq):
@@ -1570,9 +1570,9 @@ class AxisCollection(object):
 
     Examples
     --------
-    >>> age = Axis('age',range(20))
-    >>> sex = Axis('sex',['M','F'])
-    >>> AxisCollection([3,age,sex,('city',['London','Paris','Rome']),'time=2007,2008,2009,2010'])
+    >>> age = Axis('age', range(20))
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> AxisCollection([3, age, sex,('city', ['London', 'Paris', 'Rome']),'time = 2007, 2008, 2009, 2010'])
     AxisCollection([
         Axis(None, 3),
         Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -1691,11 +1691,11 @@ def get_by_pos(self, key, i):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col.get_by_pos('sex',1)
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.get_by_pos('sex', 1)
         Axis('sex', ['M', 'F'])
         """
         if isinstance(key, Axis) and key.name is None:
@@ -1840,10 +1840,10 @@ def isaxis(self, value):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.isaxis(age)
         True
         >>> col.isaxis('time')
@@ -1905,15 +1905,15 @@ def get(self, key, default=None, name=None):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, time])
         >>> col.get('time')
         Axis('time', ['2007', '2008', '2009', '2010'])
-        >>> col.get('sex',sex)
+        >>> col.get('sex', sex)
         Axis('sex', ['M', 'F'])
-        >>> col.get('nb_children',None,'nb_children')
+        >>> col.get('nb_children', None, 'nb_children')
         Axis('nb_children', 1)
         """
         # XXX: use if key in self?
@@ -1945,12 +1945,12 @@ def get_all(self, key):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> city = Axis('city',['London','Paris','Rome'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col2 = AxisCollection([age,city,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> city = Axis('city', ['London', 'Paris', 'Rome'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col2 = AxisCollection([age, city, time])
         >>> col2
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -1978,10 +1978,10 @@ def keys(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).keys()
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).keys()
         ['age', 'sex', 'time']
         """
         # XXX: include id/num for anonymous axes? I think I should
@@ -2004,10 +2004,10 @@ def pop(self, axis=-1):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.pop('age')
         Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
         >>> col
@@ -2033,10 +2033,10 @@ def append(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex])
         >>> col.append(time)
         >>> col
         AxisCollection([
@@ -2078,11 +2078,11 @@ def extend(self, axes, validate=True, replace_wildcards=False):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
         >>> col = AxisCollection(age)
-        >>> col.extend([sex,time])
+        >>> col.extend([sex, time])
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -2149,10 +2149,10 @@ def index(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.index(time)
         2
         >>> col.index('sex')
@@ -2192,11 +2192,11 @@ def insert(self, index, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,time])
-        >>> col.insert(1,sex)
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, time])
+        >>> col.insert(1, sex)
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -2230,10 +2230,10 @@ def replace(self, old, new):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> age_new = Axis('age',range(10))
-        >>> sex = Axis('sex',['M','F'])
-        >>> col = AxisCollection([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> age_new = Axis('age', range(10))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> col = AxisCollection([age, sex])
         >>> col.replace(age, age_new)
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
@@ -2255,6 +2255,7 @@ def without(self, axes):
         ----------
         axes : sequence of Axis or string
             axes to not include in the returned AxisCollection.
+            In case of string, axes are separated by a comma and no whitespace is accepted.
 
         Returns
         -------
@@ -2267,11 +2268,11 @@ def without(self, axes):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col.without([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.without([age, sex])
         AxisCollection([
             Axis('time', ['2007', '2008', '2009', '2010'])
         ])
@@ -2319,10 +2320,10 @@ def translate_full_key(self, key):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).translate_full_key([':','F','2009'])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', '2009'))
         (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
@@ -2341,13 +2342,13 @@ def labels(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(10))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).labels
+        >>> age = Axis('age', range(10))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
-              dtype='<U1'), array(['2007', '2008', '2009', '2010'],
-              dtype='<U4')]
+        dtype='<U1'), array(['2007', '2008', '2009', '2010'],
+        dtype='<U4')]
         """
         return [axis.labels for axis in self._list]
 
@@ -2363,10 +2364,10 @@ def names(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).names
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).names
         ['age', 'sex', 'time']
         """
         return [axis.name for axis in self._list]
@@ -2460,10 +2461,10 @@ def shape(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).shape
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).shape
         (20, 2, 4)
         """
         return tuple(len(axis) for axis in self._list)
@@ -2480,10 +2481,10 @@ def size(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).size
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).size
         160
         """
         return np.prod(self.shape)
@@ -2500,10 +2501,10 @@ def info(self):
 
         Examples
         --------
-        >>> age = Axis('age',20)
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).info
+        >>> age = Axis('age', 20)
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).info
         20 x 2 x 4
          age* [20]: 0 1 2 ... 17 18 19
          sex [2]: 'M' 'F'

From a6633ed8ffd1ec0cef701200d605ecae1b9c4047 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 10:49:00 +0100
Subject: [PATCH 188/899] update documentation of all and any.

---
 larray/core.py | 47 +++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 39 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a2fd726b8..15fa2cf32 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2517,16 +2517,28 @@ def info(self):
 
 
 def all(values, axis=None):
-    """Test whether all array elements along given axes evaluate to True.
+    """
+    Test whether all array elements along given axes evaluate to True.
+    If `values` is not a LArray object, the function calls the equivalent
+    Python builtins function.
 
     Parameters
     ----------
-    axis : None, int, str or Axis, tuple of int, str or Axis, optional
-        axes over which to aggregate. Defaults to None (all axes).
+    values : LArray or iterable
+        LArray object or iterable to test.
+    axis : str or Axis, optional
+        axis or label(s) over which to aggregate.
+        If several labels provided, they must belong to the same axis.
+        Defaults to None (all axes).
 
     Returns
     -------
-    LArray or scalar
+    LArray of bool or bool
+
+    See Also
+    --------
+    LArray.all
+    builtins.all
 
     Examples
     --------
@@ -2542,6 +2554,12 @@ def all(values, axis=None):
     >>> all(a, nat)
     sex |     M |    F
         | False | True
+    >>> all(a, 'M, F')
+    nat |    BE |   FO
+        | False | True
+    >>> all(a, 'F')
+    nat |   BE |   FO
+        | True | True
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2550,16 +2568,23 @@ def all(values, axis=None):
 
 
 def any(values, axis=None):
-    """Test whether any array elements along given axes evaluate to True.
+    """
+    Test whether any array elements along given axes evaluate to True.
+    If `values` is not a LArray object, the function calls the equivalent
+    Python builtins function.
 
     Parameters
     ----------
-    axis : int, str or Axis, tuple of int, str or Axis, optional
-        axes over which to aggregate. Defaults to None (all axes).
+    values : LArray or iterable
+        LArray object or iterable to test.
+    axis : str or Axis, optional
+        axis or label(s) over which to aggregate.
+        If several labels provided, they must belong to the same axis.
+        Defaults to None (all axes).
 
     Returns
     -------
-    LArray or scalar
+    LArray of bool or bool
 
     Examples
     --------
@@ -2575,6 +2600,12 @@ def any(values, axis=None):
     >>> any(a, nat)
     sex |     M |    F
         | False | True
+    >>> any(a, 'M, F')
+    nat |    BE |   FO
+        | False | True
+    >>> any(a, 'F')
+    nat |    BE |   FO
+        | False | True
     """
     if isinstance(values, LArray):
         return values.any(axis)

From 7a0a0d4ca599fac0ba5d4fdb877db18022246dfa Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 14:10:10 +0100
Subject: [PATCH 189/899] Update doctest of all and any using the new function
 ndtest.

---
 larray/core.py | 76 ++++++++++++++++++++++++++------------------------
 1 file changed, 40 insertions(+), 36 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 15fa2cf32..8f1165004 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2516,6 +2516,7 @@ def info(self):
         return ReprString('\n'.join([shape] + lines))
 
 
+# AD -- replace axis by key
 def all(values, axis=None):
     """
     Test whether all array elements along given axes evaluate to True.
@@ -2526,7 +2527,7 @@ def all(values, axis=None):
     ----------
     values : LArray or iterable
         LArray object or iterable to test.
-    axis : str or Axis, optional
+    axis : str or list or Axis, optional
         axis or label(s) over which to aggregate.
         If several labels provided, they must belong to the same axis.
         Defaults to None (all axes).
@@ -2542,24 +2543,25 @@ def all(values, axis=None):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([nat, sex]) >= 1
-    >>> a
-    nat\\sex |     M |    F
-         BE | False | True
-         FO |  True | True
-    >>> all(a)
+    >>> arr = ndtest((3,3))
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
+    >>> barr = arr % 2 == 0
+    a\b |    b0 |    b1 |    b2
+     a0 |  True | False |  True
+     a1 | False |  True | False
+     a2 |  True | False |  True
+    >>> all(barr)
     False
-    >>> all(a, nat)
-    sex |     M |    F
-        | False | True
-    >>> all(a, 'M, F')
-    nat |    BE |   FO
-        | False | True
-    >>> all(a, 'F')
-    nat |   BE |   FO
-        | True | True
+    >>> all(barr, 'a')
+    b |    b0 |    b1 |    b2
+      | False | False | False
+    >>> all(barr, 'a0, a2')
+    b |   b0 |    b1 |   b2
+      | True | False | True
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2567,6 +2569,7 @@ def all(values, axis=None):
         return builtins.all(values)
 
 
+# AD -- replace axis by key
 def any(values, axis=None):
     """
     Test whether any array elements along given axes evaluate to True.
@@ -2577,7 +2580,7 @@ def any(values, axis=None):
     ----------
     values : LArray or iterable
         LArray object or iterable to test.
-    axis : str or Axis, optional
+    axis : str or list or Axis, optional
         axis or label(s) over which to aggregate.
         If several labels provided, they must belong to the same axis.
         Defaults to None (all axes).
@@ -2588,24 +2591,25 @@ def any(values, axis=None):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([nat, sex]) >= 3
-    >>> a
-    nat\\sex |     M |     F
-         BE | False | False
-         FO | False |  True
-    >>> any(a)
+    >>> arr = ndtest((3,3))
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
+    >>> barr = arr % 2 == 0
+    a\b |    b0 |    b1 |    b2
+     a0 |  True | False |  True
+     a1 | False |  True | False
+     a2 |  True | False |  True
+    >>> any(barr)
     True
-    >>> any(a, nat)
-    sex |     M |    F
-        | False | True
-    >>> any(a, 'M, F')
-    nat |    BE |   FO
-        | False | True
-    >>> any(a, 'F')
-    nat |    BE |   FO
-        | False | True
+    >>> any(barr, 'a')
+    b |   b0 |   b1 |   b2
+      | True | True | True
+    >>> any(barr, 'a0, a1')
+    b |   b0 |   b1 |   b2
+      | True | True | True
     """
     if isinstance(values, LArray):
         return values.any(axis)

From c0555fce3cdedd0d59078bbd28e111e34aec2f8e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 16:32:35 +0100
Subject: [PATCH 190/899] Update doctest of functions all, any, sum, prod,
 cumsum, cumprod, min, max, mean, median, percentile, ptp, var and std.

---
 larray/core.py | 567 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 491 insertions(+), 76 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8f1165004..4199d5fe3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2516,20 +2516,16 @@ def info(self):
         return ReprString('\n'.join([shape] + lines))
 
 
-# AD -- replace axis by key
 def all(values, axis=None):
     """
-    Test whether all array elements along given axes evaluate to True.
-    If `values` is not a LArray object, the function calls the equivalent
-    Python builtins function.
+    Test whether all array elements along a given axis evaluate to True.
 
     Parameters
     ----------
     values : LArray or iterable
-        LArray object or iterable to test.
+        Input data.
     axis : str or list or Axis, optional
-        axis or label(s) over which to aggregate.
-        If several labels provided, they must belong to the same axis.
+        axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
@@ -2538,19 +2534,23 @@ def all(values, axis=None):
 
     See Also
     --------
-    LArray.all
-    builtins.all
+    LArray.all : Equivalent method.
+
+    Notes
+    -----
+    If `values` is not a LArray object, the equivalent builtins function is used.
 
     Examples
     --------
     >>> arr = ndtest((3,3))
     >>> arr
-    a\b | b0 | b1 | b2
+    a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
     >>> barr = arr % 2 == 0
-    a\b |    b0 |    b1 |    b2
+    >>> barr
+    a\\b |    b0 |    b1 |    b2
      a0 |  True | False |  True
      a1 | False |  True | False
      a2 |  True | False |  True
@@ -2559,9 +2559,9 @@ def all(values, axis=None):
     >>> all(barr, 'a')
     b |    b0 |    b1 |    b2
       | False | False | False
-    >>> all(barr, 'a0, a2')
-    b |   b0 |    b1 |   b2
-      | True | False | True
+    >>> all(barr, 'b')
+    a |    a0 |    a1 |    a2
+      | False | False | False
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2569,36 +2569,41 @@ def all(values, axis=None):
         return builtins.all(values)
 
 
-# AD -- replace axis by key
 def any(values, axis=None):
     """
-    Test whether any array elements along given axes evaluate to True.
-    If `values` is not a LArray object, the function calls the equivalent
-    Python builtins function.
+    Test whether any array elements along a given axis evaluate to True.
 
     Parameters
     ----------
     values : LArray or iterable
-        LArray object or iterable to test.
+        Input data.
     axis : str or list or Axis, optional
-        axis or label(s) over which to aggregate.
-        If several labels provided, they must belong to the same axis.
+        axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
     -------
     LArray of bool or bool
 
+    See Also
+    --------
+    LArray.any : Equivalent method.
+
+    Notes
+    -----
+    If `values` is not a LArray object, the equivalent builtins function is used.
+
     Examples
     --------
     >>> arr = ndtest((3,3))
     >>> arr
-    a\b | b0 | b1 | b2
+    a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
     >>> barr = arr % 2 == 0
-    a\b |    b0 |    b1 |    b2
+    >>> barr
+    a\\b |    b0 |    b1 |    b2
      a0 |  True | False |  True
      a1 | False |  True | False
      a2 |  True | False |  True
@@ -2607,8 +2612,8 @@ def any(values, axis=None):
     >>> any(barr, 'a')
     b |   b0 |   b1 |   b2
       | True | True | True
-    >>> any(barr, 'a0, a1')
-    b |   b0 |   b1 |   b2
+    >>> any(barr, 'b')
+    a |   a0 |   a1 |   a2
       | True | True | True
     """
     if isinstance(values, LArray):
@@ -2624,8 +2629,8 @@ def sum(array, *args, **kwargs):
 
     Parameters
     ----------
-    array : iterable or array-like or LArray
-        Elements to sum.
+    array : LArray or iterable
+        Input data.
     axis : None or int or str or Axis or tuple of those, optional
         Axis or axes along which a sum is performed.
         The default (`axis` = `None`) is to perform a sum over all
@@ -2636,7 +2641,7 @@ def sum(array, *args, **kwargs):
 
     Returns
     -------
-    LArray
+    LArray or scalar
 
     See Also
     --------
@@ -2651,19 +2656,19 @@ def sum(array, *args, **kwargs):
 
     Examples
     --------
-    >>> a = ndrange((2, 3))
-    >>> a
-    {0}*\\{1}* | 0 | 1 | 2
-            0 | 0 | 1 | 2
-            1 | 3 | 4 | 5
-    >>> sum(a)
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> sum(arr)
     15
-    >>> sum(a, axis=0)
-    {0}* | 0 | 1 | 2
-         | 3 | 5 | 7
-    >>> sum(a, axis=1)
-    {0}* | 0 |  1
-         | 3 | 12
+    >>> sum(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  5 |  7
+    >>> sum(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  5 |  7
     """
     # XXX: we might want to be more aggressive here (more types to convert),
     #      however, generators should still be computed via the builtin.
@@ -2676,18 +2681,190 @@ def sum(array, *args, **kwargs):
 
 
 def prod(array, *args, **kwargs):
+    """prod(array, axis=None)
+
+    Return the product of the array elements over a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a product is performed.
+        The default (`axis` = `None`) is to perform the product over all
+        axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the product is performed on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.prod : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> prod(arr)
+    0
+    >>> prod(arr, axis=0)
+    b | b0 | b1 | b2
+      |  0 |  4 | 10
+    >>> prod(arr, axis='a')
+    b | b0 | b1 | b2
+      |  0 |  4 | 10
+    """
     return array.prod(*args, **kwargs)
 
 
 def cumsum(array, *args, **kwargs):
+    """cumsum(array, axis=None)
+
+    Return the cumulative sum of the elements along a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a cumulative sum is performed.
+        The default (`axis` = `None`) is to perform the cumulative sum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the cumulative sum is performed on multiple axes.
+
+    Returns
+    -------
+    LArray
+
+    See Also:
+    ---------
+    LArray.cumsum : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> cumsum(arr)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  3
+     a1 |  3 |  7 | 12
+    >>> cumsum(arr, axis=0)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  5 |  7
+    >>> cumsum(arr, axis='a')
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  5 |  7
+    """
     return array.cumsum(*args, **kwargs)
 
 
 def cumprod(array, *args, **kwargs):
+    """cumprod(array, axis=None)
+
+    Return the cumulative product of the elements along a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a cumulative product is performed.
+        The default (`axis` = `None`) is to perform the cumulative product
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the cumulative product is performed on multiple axes.
+
+    Returns
+    -------
+    LArray
+
+    See Also:
+    ---------
+    LArray.cumprod : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> cumprod(arr)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  0 |  0
+     a1 |  3 | 12 | 60
+    >>> cumprod(arr, axis=0)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  0 |  4 | 10
+    >>> cumprod(arr, axis='a')
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  0 |  4 | 10
+    """
     return array.cumprod(*args, **kwargs)
 
 
 def min(array, *args, **kwargs):
+    """min(array, axis=None)
+
+    Return the minimum of an array or minimum along an axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a the minimum is searched.
+        The default (`axis` = `None`) is to search the minimum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the minimum is searched on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.min : Equivalent method.
+
+    Notes
+    -----
+    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> min(arr)
+    0
+    >>> min(arr, axis=0)
+    b | b0 | b1 | b2
+      |  0 |  1 |  2
+    >>> min(arr, axis='a')
+    b | b0 | b1 | b2
+      |  0 |  1 |  2
+    """
     if isinstance(array, LArray):
         return array.min(*args, **kwargs)
     else:
@@ -2695,6 +2872,50 @@ def min(array, *args, **kwargs):
 
 
 def max(array, *args, **kwargs):
+    """max(array, axis=None)
+
+    Return the minimum of an array or maximum along an axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a the maximum is searched.
+        The default (`axis` = `None`) is to search the maximum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the maximum is searched on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.max : Equivalent method.
+
+    Notes
+    -----
+    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> max(arr)
+    5
+    >>> max(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  4 |  5
+    >>> max(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  4 |  5
+    """
     if isinstance(array, LArray):
         return array.max(*args, **kwargs)
     else:
@@ -2702,78 +2923,272 @@ def max(array, *args, **kwargs):
 
 
 def mean(array, *args, **kwargs):
+    """mean(array, axis=None)
+
+    Compute the arithmetic mean along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the means are computed.
+        The default (`axis` = `None`) is to compute the mean
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the mean is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.mean : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> mean(arr)
+    2.5
+    >>> mean(arr, axis=0)
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    >>> mean(arr, axis='a')
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    """
     return array.mean(*args, **kwargs)
 
 
 def median(array, *args, **kwargs):
-    """
+    """median(array, axis=None)
+
+    Compute the median along the specified axis.
+
     Parameters
     ----------
-    array : iterable or array-like or LArray
+    array : LArray
+        Input data.
     axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the median are computed.
+        The default (`axis` = `None`) is to compute the median
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the median is calculated on multiple axes.
 
     Returns
     -------
-    LArray
+    LArray or scalar
 
-    See Also
-    --------
+    See Also:
+    ---------
     LArray.median : Equivalent method.
 
     Examples
     --------
-
-    >>> a = LArray([[10, 7, 4], [3, 2, 1]])
-    >>> a
-    {0}*\\{1}* |  0 | 1 | 2
-            0 | 10 | 7 | 4
-            1 |  3 | 2 | 1
-    >>> median(a)
-    3.5
-    >>> median(a, axis=0)
-    {0}* |   0 |   1 |   2
-         | 6.5 | 4.5 | 2.5
-    >>> median(a, axis=1)
-    {0}* |   0 |   1
-         | 7.0 | 2.0
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> median(arr)
+    2.5
+    >>> median(arr, axis=0)
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    >>> median(arr, axis='a')
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
     """
     return array.median(*args, **kwargs)
 
 
 def percentile(array, *args, **kwargs):
-    """
+    """percentile(array, q, axis=None)
+
+    Compute the qth percentile of the data along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    q : float in range of [0,100] (or sequence of floats)
+        Percentile to compute, which must be between 0 and 100 inclusive.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the percentile are computed.
+        The default (`axis` = `None`) is to compute the percentile
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the percentile is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.percentile : Equivalent method.
+
     Examples
     --------
-
-    >>> a = LArray([[10, 7, 4], [3, 2, 1]])
-    >>> a
-    {0}*\\{1}* |  0 | 1 | 2
-            0 | 10 | 7 | 4
-            1 |  3 | 2 | 1
-    >>> # this is a bug in numpy: np.nanpercentile(all axes) returns an ndarray,
-    >>> # instead of a scalar.
-    >>> percentile(a, 50)
-    array(3.5)
-    >>> percentile(a, 50, axis=0)
-    {0}* |   0 |   1 |   2
-         | 6.5 | 4.5 | 2.5
-    >>> percentile(a, 50, axis=1)
-    {0}* |   0 |   1
-         | 7.0 | 2.0
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> percentile(arr, 25)
+    array(1.25)
+    >>> percentile(arr, 25, axis=0)
+    b |   b0 |   b1 |   b2
+      | 0.75 | 1.75 | 2.75
+    >>> percentile(arr, 25, axis='a')
+    b |   b0 |   b1 |   b2
+      | 0.75 | 1.75 | 2.75
     """
     return array.percentile(*args, **kwargs)
 
 
 # not commutative
 def ptp(array, *args, **kwargs):
+    """ptp(array, axis=None)
+
+    Range of values (maximum - minimum) along an axis.
+
+    The name of the function comes from the acronym for ‘peak to peak’.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis along which to find the peaks.
+        The default (`axis` = `None`) is to find the peaks
+        over all axes of the input array (as if the array is flatten).
+        `axis` may be negative, in which case it counts from the last
+        to the first axis.
+
+        If this is a tuple, the peaks are computed on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.ptp : Equivalent method.
+
+    Examples
+    --------
+    #>>> arr = ndtest((2, 3))
+    #>>> arr
+    #a\\b | b0 | b1 | b2
+    # a0 |  0 |  1 |  2
+    # a1 |  3 |  4 |  5
+    #>>> ptp(arr)
+    #5
+    #>>> ptp(arr, axis=0)
+    #b |  b0 |  b1 |  b2
+    #  |   3 |   3 |   3
+    #>>> ptp(arr, axis='a')
+    #b |  b0 |  b1 |  b2
+    #  |   3 |   3 |   3
+    """
     return array.ptp(*args, **kwargs)
 
 
 def var(array, *args, **kwargs):
+    """var(array, axis=None)
+
+    Compute the variance along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the variance are computed.
+        The default (`axis` = `None`) is to compute the variance
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the variance is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.var : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> var(arr)
+    2.9166666666666665
+    >>> var(arr, axis=1)
+    a |                 a0 |                 a1
+      | 0.6666666666666666 | 0.6666666666666666
+    >>> var(arr, axis='b')
+    a |                 a0 |                 a1
+      | 0.6666666666666666 | 0.6666666666666666
+    """
     return array.var(*args, **kwargs)
 
 
 def std(array, *args, **kwargs):
+    """std(array, axis=None)
+
+    Compute the standard deviation along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the standard deviation are computed.
+        The default (`axis` = `None`) is to compute the standard deviation
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the standard deviation is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.std : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> std(arr)
+    1.707825127659933
+    >>> std(arr, axis=1)
+    a |                a0 |                a1
+      | 0.816496580927726 | 0.816496580927726
+    >>> std(arr, axis='b')
+    a |                a0 |                a1
+      | 0.816496580927726 | 0.816496580927726
+    """
     return array.std(*args, **kwargs)
 
 

From 53e0b2f8c0ac96afd435092d7325b5b9bbf24cd5 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Nov 2016 11:46:53 +0100
Subject: [PATCH 191/899] Update documentation of aslarray and get_axis
 function

---
 larray/core.py | 83 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 78 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4199d5fe3..57d9daf72 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3192,13 +3192,23 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-_numeric_kinds = 'buifc'
-_string_kinds = 'SU'
+_numeric_kinds = 'buifc'    #Boolean, Unsigned integer, Integer, Float, Complex
+_string_kinds = 'SU'        #String, Unicode
 _meta_kind = {k: 'str' for k in _string_kinds}
 _meta_kind.update({k: 'numeric' for k in _numeric_kinds})
 
 
 def common_type(arrays):
+    """
+    Similar to ``common_type`` NumPy function.
+    Return a type which is common to the input arrays.
+    All input arrays can be safely cast to the returned dtype without loss of information.
+
+    Notes
+    -----
+    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object'
+    as common type.
+    """
     arrays = [np.asarray(a) for a in arrays]
     dtypes = [a.dtype for a in arrays]
     meta_kinds = [_meta_kind.get(dt.kind, 'other') for dt in dtypes]
@@ -3277,7 +3287,7 @@ class LArrayPositionalIndexer(object):
     def __init__(self, array):
         self.array = array
 
-    def translate_key(self, key):
+    def _translate_key(self, key):
         if not isinstance(key, tuple):
             key = (key,)
         if len(key) > self.array.ndim:
@@ -3288,10 +3298,10 @@ def translate_key(self, key):
                      for axis_key, axis in zip(key, self.array.axes))
 
     def __getitem__(self, key):
-        return self.array[self.translate_key(key)]
+        return self.array[self._translate_key(key)]
 
     def __setitem__(self, key, value):
-        self.array[self.translate_key(key)] = value
+        self.array[self._translate_key(key)] = value
 
     def __len__(self):
         return len(self.array)
@@ -3345,10 +3355,73 @@ def __setitem__(self, key, value):
 
 
 def get_axis(obj, i):
+    """
+    Returns an axis according to its position.
+
+    Parameters
+    ----------
+    obj : LArray or other array
+        Input LArray or any array object on which a shape method can be applied
+        (NumPy or PandaS array).
+    i : int
+        Position of the axis.
+
+    Returns
+    -------
+    Axis
+        Axis corresponding to the given position if input `obj` is a LArray.
+        A new anonymous Axis with the same length of the ith dimension of
+        the input `obj` otherwise.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 2, 2))
+    >>> arr
+     a | b\c | c0 | c1
+    a0 |  b0 |  0 |  1
+    a0 |  b1 |  2 |  3
+    a1 |  b0 |  4 |  5
+    a1 |  b1 |  6 |  7
+    >>> get_axis(arr, 1)
+    Axis('b', ['b0', 'b1'])
+    >>> np_arr = np.zeros((2, 2, 2))
+    >>> get_axis(np_arr, 1)
+    Axis(None, 2)
+    """
     return obj.axes[i] if isinstance(obj, LArray) else Axis(None, obj.shape[i])
 
 
 def aslarray(a):
+    """
+    Converts input as LArray if possible.
+
+    Parameters
+    ----------
+    a : array-like
+        Input array to convert into a LArray.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> # NumPy array
+    >>> np_arr = np.arange(6).reshape((2,3))
+    >>> aslarray(np_arr)
+    {0}*\{1}* | 0 | 1 | 2
+            0 | 0 | 1 | 2
+            1 | 3 | 4 | 5
+    >>> # PandaS dataframe
+    >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
+    ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
+    >>> df = pd.DataFrame(data)
+    >>> aslarray(df)
+    {0}\{1} | normal | reverse
+          a |    1.0 |     3.0
+          b |    2.0 |     2.0
+          c |    3.0 |     1.0
+    """
     if isinstance(a, LArray):
         return a
     elif hasattr(a, '__larray__'):

From 7f35f32a21304aa657de25fea581fadc7176ad79 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Nov 2016 15:58:42 +0100
Subject: [PATCH 192/899] Update documentation of LArray.nonzero and
 LArray.with_axes methods.

---
 larray/core.py | 179 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 154 insertions(+), 25 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 57d9daf72..95fa12402 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3087,19 +3087,19 @@ def ptp(array, *args, **kwargs):
 
     Examples
     --------
-    #>>> arr = ndtest((2, 3))
-    #>>> arr
-    #a\\b | b0 | b1 | b2
-    # a0 |  0 |  1 |  2
-    # a1 |  3 |  4 |  5
-    #>>> ptp(arr)
-    #5
-    #>>> ptp(arr, axis=0)
-    #b |  b0 |  b1 |  b2
-    #  |   3 |   3 |   3
-    #>>> ptp(arr, axis='a')
-    #b |  b0 |  b1 |  b2
-    #  |   3 |   3 |   3
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> ptp(arr)
+    5
+    >>> ptp(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  3 |  3
+    >>> ptp(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  3 |  3
     """
     return array.ptp(*args, **kwargs)
 
@@ -3219,6 +3219,7 @@ def common_type(arrays):
         return np.find_common_type(dtypes, [])
     elif meta_kinds[0] == 'str':
         need_unicode = any(dt.kind == 'U' for dt in dtypes)
+        # unicode are coded with 4 bytes
         max_size = max(dt.itemsize // 4 if dt.kind == 'U' else dt.itemsize
                        for dt in dtypes)
         return np.dtype(('U' if need_unicode else 'S', max_size))
@@ -3433,22 +3434,91 @@ def aslarray(a):
 
 
 class LArray(object):
+    """
+    A LArray object represents a multidimensional, homogeneous
+    array of fixed-size items with labeled axes.
+
+    The function :func:`aslarray` can be used to convert a
+    NumPy array or PandaS DataFrame into a LArray.
+
+    Parameters
+    ----------
+    data : scalar, tuple, list or NumPy ndarray
+        Input data.
+    axes : collection (tuple, list or AxisCollection) of axes \
+    (int, str or  Axis), optional
+        Axes.
+    title : str, optional
+        Title of array.
+
+    Attributes
+    ----------
+    data : NumPy ndarray
+        Data.
+    axes : AxisCollection
+        Axes.
+    title : str
+        Title.
+
+    See Also
+    --------
+    create_sequential : Create a LArray by sequentially
+                        applying modifications to the array
+                        along axis.
+    ndrange : Create a LArray with increasing elements.
+    zeros : Create a LArray, each element of which is zero.
+    ones : Create a LArray, each element of which is 1.
+    full : Create a LArray filled with a given value.
+    empty : Create a LArray, but leave its allocated memory
+            unchanged (i.e., it contains “garbage”).
+
+    Examples
+    --------
+    >>> age = Axis('age', [10, 11, 12])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> time = Axis('time', ['2007','2008','2009'])
+    >>> axes = [age, sex, time]
+    >>> ndrange(axes, 10)
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M |   10 |   11 |   12
+     10 |        F |   13 |   14 |   15
+     11 |        M |   16 |   17 |   18
+     11 |        F |   19 |   20 |   21
+     12 |        M |   22 |   23 |   24
+     12 |        F |   25 |   26 |   27
+    >>> full(axes, 10.0)
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M | 10.0 | 10.0 | 10.0
+     10 |        F | 10.0 | 10.0 | 10.0
+     11 |        M | 10.0 | 10.0 | 10.0
+     11 |        F | 10.0 | 10.0 | 10.0
+     12 |        M | 10.0 | 10.0 | 10.0
+     12 |        F | 10.0 | 10.0 | 10.0
+    >>> arr = empty(axes)
+    >>> arr['F'] = 1.0
+    >>> arr['M'] = -1.0
+    >>> arr
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M | -1.0 | -1.0 | -1.0
+     10 |        F |  1.0 |  1.0 |  1.0
+     11 |        M | -1.0 | -1.0 | -1.0
+     11 |        F |  1.0 |  1.0 |  1.0
+     12 |        M | -1.0 | -1.0 | -1.0
+     12 |        F |  1.0 |  1.0 |  1.0
+    >>> bysex = create_sequential(sex, initial=-1, inc=2)
+    >>> bysex
+    sex |  M | F
+        | -1 | 1
+    >>> create_sequential(age, initial=10, inc=bysex)
+    sex\\age | 10 | 11 | 12
+          M | 10 |  9 |  8
+          F | 10 | 11 | 12
+    """
     def __init__(self,
                  data,
                  axes=None,
                  title=''   # type: str
                  ):
-        """
-        Parameters
-        ----------
-        data : scalar, tuple, list or np.ndarray
-            data
-        axes : collection (tuple, list or AxisCollection) of axes (int,
-        str or  Axis), optional
-            axes
-        title : str, optional
-            title of array
-        """
         data = np.asarray(data)
         ndim = data.ndim
         if axes is None:
@@ -3470,11 +3540,62 @@ def __init__(self,
 
     # XXX: rename to posnonzero and implement a label version of nonzero
     def nonzero(self):
+        """
+        Return the indices of the elements that are non-zero.
+
+        Returns a tuple of arrays, one for each dimension of a,
+        containing the indices of the non-zero elements in that dimension.
+
+        Returns
+        -------
+        tuple_of_arrays : tuple
+            Indices of elements that are non-zero.
+
+        Examples
+        --------
+        >>> arr = ndtest((2,3)) % 2
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  0
+         a1 |  1 |  0 |  1
+        >>> arr.nonzero()
+        (array([0, 1, 1], dtype=int64), array([1, 0, 2], dtype=int64))
+        """
         # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]
         return self.data.nonzero()
 
     def with_axes(self, axes):
+        """
+        Returns a LArray with same data but new axes.
+        The number and length of axes must match
+        dimensions and shape of data array.
+
+        Parameters
+        ----------
+        axes : collection (tuple, list or AxisCollection) of axes \
+        (int, str or  Axis), optional
+            New axes.
+
+        Returns
+        -------
+        LArray
+            Array with same data but new axes.
+
+        Examples
+        --------
+        >>> arr = ndtest((2,3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+        >>> line = Axis('line', ['l0', 'l1'])
+        >>> column = Axis('column', ['c0', 'c1', 'c2'])
+        >>> arr.with_axes([line, column])
+        line\\column | c0 | c1 | c2
+                 l0 |  0 |  1 |  2
+                 l1 |  3 |  4 |  5
+        """
         return LArray(self.data, axes)
 
     def __getattr__(self, key):
@@ -4483,7 +4604,15 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         if out is not None:
             assert isinstance(out, LArray)
             kwargs['out'] = out.data
-        res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
+        # FIXME:
+        if op.__name__ == 'ptp':
+            if keepdims or len(axes_indices) > 1:
+                raise NotImplemented
+            else:
+                axis, = axes_indices
+                res_data = np.ptp(src_data, axis=axis, **kwargs)
+        else:
+            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
 
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True \

From 545fb996c6fe7693af4caf47fb5d36c7448737ee Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 1 Dec 2016 09:58:24 +0100
Subject: [PATCH 193/899] Update documentation of LArray.i, LArray.points and
 LArray.ipoints properties.

---
 larray/core.py | 86 ++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 83 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 95fa12402..cc9a07ffd 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3289,6 +3289,10 @@ def __init__(self, array):
         self.array = array
 
     def _translate_key(self, key):
+        """
+        Translates key into tuple of PGroup, i.e.
+        tuple of collections of labels.
+        """
         if not isinstance(key, tuple):
             key = (key,)
         if len(key) > self.array.ndim:
@@ -3476,7 +3480,7 @@ class LArray(object):
     --------
     >>> age = Axis('age', [10, 11, 12])
     >>> sex = Axis('sex', ['M', 'F'])
-    >>> time = Axis('time', ['2007','2008','2009'])
+    >>> time = Axis('time', ['2007', '2008', '2009'])
     >>> axes = [age, sex, time]
     >>> ndrange(axes, 10)
     age | sex\\time | 2007 | 2008 | 2009
@@ -3553,7 +3557,7 @@ def nonzero(self):
 
         Examples
         --------
-        >>> arr = ndtest((2,3)) % 2
+        >>> arr = ndtest((2, 3)) % 2
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  0
@@ -3584,7 +3588,7 @@ def with_axes(self, axes):
 
         Examples
         --------
-        >>> arr = ndtest((2,3))
+        >>> arr = ndtest((2, 3))
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
@@ -3611,14 +3615,90 @@ def __setattr__(self, key, value):
 
     @property
     def i(self):
+        """
+        Extracts a subset using positions of labels.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.i[[0,2],:,0:2]
+         a | b\\c | c0 | c1
+        a0 |  b0 |  0 |  1
+        a0 |  b1 |  3 |  4
+        a0 |  b2 |  6 |  7
+        a2 |  b0 | 18 | 19
+        a2 |  b1 | 21 | 22
+        a2 |  b2 | 24 | 25
+        """
         return LArrayPositionalIndexer(self)
 
     @property
     def points(self):
+        """
+        Extracts an intersection subset using labels.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.points['a0,a2',:,'c0,c2']
+        a,c\\b | b0 | b1 | b2
+        a0,c0 |  0 |  3 |  6
+        a2,c2 | 20 | 23 | 26
+        >>> arr.points['a0,a2','b0,b2','c0,c2']
+        a,b,c | a0,b0,c0 | a2,b2,c2
+              |        0 |       26
+        """
         return LArrayPointsIndexer(self)
 
     @property
     def ipoints(self):
+        """
+        Extracts an intersection subset using positions.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.ipoints[[0,2],:,[0,2]]
+        a,c\\b | b0 | b1 | b2
+         a0,c0 |  0 |  3 |  6
+         a2,c2 | 20 | 23 | 26
+        >>> arr.ipoints[[0,2],[0,2],[0,2]]
+        a,b,c | a0,b0,c0 | a2,b2,c2
+              |        0 |       26
+        """
         return LArrayPositionalPointsIndexer(self)
 
     def to_frame(self, fold_last_axis_name=False, dropna=None):

From 409b6896d6709bd436641def0a6fb8b4e773c4b2 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 2 Dec 2016 17:34:40 +0100
Subject: [PATCH 194/899] Update documentation of whole LArray class.

---
 larray/core.py | 571 +++++++++++++++++++++++++++++++++++--------------
 1 file changed, 408 insertions(+), 163 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cc9a07ffd..dd67913e9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1951,10 +1951,10 @@ def get_all(self, key):
         >>> city = Axis('city', ['London', 'Paris', 'Rome'])
         >>> col = AxisCollection([age, sex, time])
         >>> col2 = AxisCollection([age, city, time])
-        >>> col2
+        >>> col.get_all(col2)
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('city', ['London', 'Paris', 'Rome']),
+            Axis('city', 1),
             Axis('time', ['2007', '2008', '2009', '2010'])
         ])
         """
@@ -3616,7 +3616,10 @@ def __setattr__(self, key, value):
     @property
     def i(self):
         """
-        Extracts a subset using positions of labels.
+        Allows selection of a subset using positions of labels.
+
+        It works as the same way as basic slicing and indexing
+        in NumPy.
 
         Examples
         --------
@@ -3646,7 +3649,11 @@ def i(self):
     @property
     def points(self):
         """
-        Extracts an intersection subset using labels.
+        Allows selection of arbitrary items in the array based on their
+        N-dimensional label index. Each integer array represents a number
+        of indexes into that dimension.
+
+        It is similar to advanced indexing in NumPy but with labels.
 
         Examples
         --------
@@ -3675,7 +3682,11 @@ def points(self):
     @property
     def ipoints(self):
         """
-        Extracts an intersection subset using positions.
+        Allows selection of arbitrary items in the array based on their
+        N-dimensional index. Each integer array represents a number of
+        indexes into that dimension.
+
+        It is similar to advanced indexing in NumPy.
 
         Examples
         --------
@@ -3693,8 +3704,8 @@ def ipoints(self):
         a2 |  b2 | 24 | 25 | 26
         >>> arr.ipoints[[0,2],:,[0,2]]
         a,c\\b | b0 | b1 | b2
-         a0,c0 |  0 |  3 |  6
-         a2,c2 | 20 | 23 | 26
+        a0,c0 |  0 |  3 |  6
+        a2,c2 | 20 | 23 | 26
         >>> arr.ipoints[[0,2],[0,2],[0,2]]
         a,b,c | a0,b0,c0 | a2,b2,c2
               |        0 |       26
@@ -3702,6 +3713,50 @@ def ipoints(self):
         return LArrayPositionalPointsIndexer(self)
 
     def to_frame(self, fold_last_axis_name=False, dropna=None):
+        """
+        Converts LArray into PandaS DataFrame.
+
+        Parameters
+        ----------
+        fold_last_axis_name : bool, optional.
+            False by default.
+        dropna : {'any', 'all', None}, optional.
+            * any : if any NA values are present, drop that label
+            * all : if all values are NA, drop that label
+            None by default.
+
+        Returns
+        -------
+        PandaS DataFrame
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr.to_frame() # doctest: +NORMALIZE_WHITESPACE
+        c      c0  c1  c2
+        a  b
+        a0 b0   0   1   2
+           b1   3   4   5
+           b2   6   7   8
+        a1 b0   9  10  11
+           b1  12  13  14
+           b2  15  16  17
+        a2 b0  18  19  20
+           b1  21  22  23
+           b2  24  25  26
+        >>> arr.to_frame(True) # doctest: +NORMALIZE_WHITESPACE
+                c0  c1  c2
+        a  b\\c
+        a0 b0    0   1   2
+           b1    3   4   5
+           b2    6   7   8
+        a1 b0    9  10  11
+           b1   12  13  14
+           b2   15  16  17
+        a2 b0   18  19  20
+           b1   21  22  23
+           b2   24  25  26
+        """
         columns = pd.Index(self.axes[-1].labels)
         if not fold_last_axis_name:
             columns.name = self.axes[-1].name
@@ -3727,6 +3782,34 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
     df = property(to_frame)
 
     def to_series(self, dropna=False):
+        """
+        Converts LArray into PandaS Series.
+
+        Parameters
+        ----------
+        dropna : bool, optional.
+            False by default.
+
+        Returns
+        -------
+        PandaS DataFrame
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3))
+        >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
+            a   b
+        a0  b0    0
+            b1    1
+            b2    2
+        a1  b0    3
+            b1    4
+            b2    5
+        a2  b0    6
+            b1    7
+            b2    8
+        dtype: int32
+        """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
                                            names=self.axes.names)
         series = pd.Series(np.asarray(self).reshape(self.size), index)
@@ -3785,23 +3868,23 @@ def rename(self, renames=None, to=None, **kwargs):
         --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> a = ndrange([nat, sex])
-        >>> a
+        >>> arr = ndrange([nat, sex])
+        >>> arr
         nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
-        >>> a.rename(x.nat, 'nat2')
-        nat2\\sex | M | F
-              BE | 0 | 1
-              FO | 2 | 3
-        >>> a.rename(nat='nat2')
-        nat2\\sex | M | F
-              BE | 0 | 1
-              FO | 2 | 3
-        >>> a.rename({'nat': 'nat2'})
+        >>> arr.rename(x.nat, 'nat2')
         nat2\\sex | M | F
               BE | 0 | 1
               FO | 2 | 3
+        >>> arr.rename(nat='nat2',sex='sex2')
+        nat2\\sex2 | M | F
+               BE | 0 | 1
+               FO | 2 | 3
+        >>> arr.rename({'nat': 'nat2', 'sex' : 'sex2'})
+        nat2\\sex2 | M | F
+               BE | 0 | 1
+               FO | 2 | 3
         """
         if isinstance(renames, dict):
             items = list(renames.items())
@@ -3823,8 +3906,8 @@ def sort_values(self, key):
         Parameters
         ----------
         key : scalar or tuple or Group
-            key along which to sort. Must have exactly one dimension less than
-            ndim.
+            key along which to sort.
+            Must have exactly one dimension less than ndim.
 
         Returns
         -------
@@ -3948,10 +4031,14 @@ def sort_key(axis):
 
     def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         """
+        Translates axis(es) key into axis(es) position(s).
+
         Parameters
         ----------
         axis_key : any kind of key
-        bool_passthrough
+            Key to select axis(es).
+        bool_passthrough : bool, optional
+            True by default.
 
         Returns
         -------
@@ -4008,7 +4095,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         return valid_axes[0].i[axis_pos_key]
 
     def _translate_axis_key(self, axis_key, bool_passthrough=True):
-        """same as chunk
+        """same as chunk.
 
         Returns
         -------
@@ -4049,6 +4136,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             return self._translate_axis_key_chunk(axis_key, bool_passthrough)
 
     def _guess_axis(self, axis_key):
+        """
+        ???
+
+        Returns
+        -------
+        PGroup with valid axis (from self.axes)
+        """
         if isinstance(axis_key, Group):
             group_axis = axis_key.axis
             if group_axis is not None:
@@ -4089,8 +4183,8 @@ def _translated_key(self, key, bool_stuff=False):
         Parameters
         ----------
         key : single axis key or tuple of keys or dict {axis_name: axis_key}
-           each axis key can be either a scalar, a list of scalars or
-           an LKey
+           Each axis key can be either a scalar, a list of scalars or
+           an LKey.
 
         Returns
         -------
@@ -4191,9 +4285,16 @@ def _translated_key(self, key, bool_stuff=False):
     #  subclass of it)
     def _cross_key(self, key):
         """
-        :param key: a complete (contains all dimensions) index-based key
-        :param collapse_slices: convert contiguous ranges to slices
-        :return: a key for indexing the cross product
+        Returns a key indexing the cross product.
+
+        Parameters
+        ----------
+        key : complete (contains all dimensions) index-based key
+
+        Returns
+        -------
+        key
+            A key for indexing the cross product
         """
 
         # handle advanced indexing with more than one indexing array:
@@ -4364,16 +4465,24 @@ def __setitem__(self, key, value, collapse_slices=True):
 
     def _bool_key_new_axes(self, key, wildcard_allowed=False):
         """
+        Returns an AxisCollection containing combined axes.
+        Axes corresponding to scalar key are dropped.
+
+        This method is used in case of boolean key.
 
         Parameters
         ----------
         key : tuple
-            position-based key
+            Position-based key
         wildcard_allowed : bool
 
         Returns
         -------
         AxisCollection
+
+        Notes
+        -----
+        See examples of properties `points` and `ipoints`.
         """
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
                          if not _isnoneslice(axis_key) and
@@ -4434,17 +4543,72 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
 
     def set(self, value, **kwargs):
         """
-        sets a subset of LArray to value
+        Sets a subset of LArray to value
 
-        * all common axes must be either 1 or the same length
+        * all common axes must be either of length 1 or the same length
         * extra axes in value must be of length 1
-        * extra axes in self can have any length
+        * extra axes in current array can have any length
+
+        Parameters
+        ----------
+        value : scalar or LArray
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+         a2 |  6 |  7 |  8
+        >>> arr['a1:','b1:'].set(10)
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 | 10 | 10
+         a2 |  6 | 10 | 10
+        >>> arr['a1:','b1:'].set(ndtest((2, 2)))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  0 |  1
+         a2 |  6 |  2 |  3
         """
         self.__setitem__(kwargs, value)
 
     def reshape(self, target_axes):
         """
-        self.size must be equal to prod([len(axis) for axis in target_axes])
+        Given a list of new axes, changes the shape shape of the array.
+        The size of the array (= number of stored data) must be equal
+        to the product of length of target axes.
+
+        Parameters
+        ----------
+        target_axes : iterable of Axis
+            New axes. The size of the array (= number of stored data)
+            must be equal to the product of length of target axes.
+
+
+        Returns
+        -------
+        LArray
+            New LArray with new axes but same data.
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 2, 2))
+        >>> arr
+         a | b\\c | c0 | c1
+        a0 |  b0 |  0 |  1
+        a0 |  b1 |  2 |  3
+        a1 |  b0 |  4 |  5
+        a1 |  b1 |  6 |  7
+        >>> new_arr = arr.reshape([Axis('a', ['a0','a1']),
+        ... Axis('bc', ['b0c0', 'b0c1', 'b1c0', 'b1c1'])])
+        >>> new_arr
+        a\\bc | b0c0 | b0c1 | b1c0 | b1c1
+          a0 |    0 |    1 |    2 |    3
+          a1 |    4 |    5 |    6 |    7
         """
         # this is a dangerous operation, because except for adding
         # length 1 axes (which is safe), it potentially modifies data
@@ -4462,23 +4626,47 @@ def reshape(self, target_axes):
 
     def reshape_like(self, target):
         """
-        target is an LArray, total size must be compatible
+        Same as reshape but with a LArray as input.
+        Total size (= number of stored data) of the two arrays must be equal.
+
+        See Also
+        --------
+        reshape : returns a LArray with a new shape given a list of axes.
+
+        Examples
+        --------
+        >>> arr = zeros((2, 2, 2), dtype=int)
+        >>> arr
+        {0}* | {1}*\\{2}* | 0 | 1
+           0 |         0 | 0 | 0
+           0 |         1 | 0 | 0
+           1 |         0 | 0 | 0
+           1 |         1 | 0 | 0
+        >>> new_arr = arr.reshape_like(ndtest((2, 4)))
+        >>> new_arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  0 |  0 |  0
+         a1 |  0 |  0 |  0 |  0
         """
         return self.reshape(target.axes)
 
     def broadcast_with(self, other):
         """
-        returns an LArray that is (numpy) broadcastable with target
-        target can be either an LArray or any collection of Axis
+        Returns a LArray that is (NumPy) broadcastable with target.
+        Target can be either a LArray or any collection of Axis
 
-        * all common axes must be either 1 or the same length
+        * all common axes must be either of length 1 or the same length
         * extra axes in source can have any length and will be moved to the
           front
         * extra axes in target can have any length and the result will have axes
           of length 1 for those axes
 
-        this is different from reshape which ensures the result has exactly the
+        This is different from reshape which ensures the result has exactly the
         shape of the target.
+
+        Parameters
+        ----------
+        other : LArray or collection of Axis
         """
         if isinstance(other, LArray):
             other_axes = other.axes
@@ -4488,6 +4676,8 @@ def broadcast_with(self, other):
                 other_axes = AxisCollection(other_axes)
         if self.axes == other_axes:
             return self
+        # AD? -- | = union and & = intersection
+        # AD? -- Why not just | ?
         target_axes = (self.axes - other_axes) | other_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']
@@ -4510,16 +4700,24 @@ def broadcast_with(self, other):
     # wonder if there would be a risk of wildcard axes inadvertently leaking.
     # plus it might be confusing if incompatible labels "work".
     def drop_labels(self, axes=None):
-        """drop the labels from axes (replace those axes by "wildcard" axes)
+        """Drops the labels from axes (replace those axes by "wildcard" axes)
+
+        Useful when you want to apply operations between two arrays or subarrays
+        with same shape but incompatible axes (different labels).
 
         Parameters
         ----------
-        axes : Axis or list/tuple/AxisCollection of Axis
+        axes : Axis or list/tuple/AxisCollection of Axis, optional
+            Axis(es) on which you want to drop the labels.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        Use it at your own risk.
+
         Examples
         --------
         >>> a = Axis('a', ['a1', 'a2'])
@@ -4587,6 +4785,24 @@ def __iter__(self):
         return LArrayIterator(self)
 
     def as_table(self, maxlines=None, edgeitems=5):
+        """
+        Generator. Returns next line of the table representing a LArray.
+
+        Parameters
+        ----------
+        maxlines : int, optional
+            Maximum number of lines to show.
+        edgeitems : int, optional
+            If number of lines to display is greater than `maxlines`,
+            only the first and last `edgeitems` lines are displayed.
+            Only active if `maxlines` is not None.
+            Equals to 5 by default.
+
+        Returns
+        -------
+        list
+            Next line of the table as a list.
+        """
         if not self.ndim:
             return
 
@@ -4597,20 +4813,27 @@ def as_table(self, maxlines=None, edgeitems=5):
         height = int(np.prod(self.shape[:-1]))
         data = np.asarray(self).reshape(height, width)
 
+        # get list of names of axes
         axes_names = self.axes.display_names[:]
+        # transforms ['a', 'b', 'c', 'd'] into ['a', 'b', 'c\\d']
         if len(axes_names) > 1:
             axes_names[-2] = '\\'.join(axes_names[-2:])
             axes_names.pop()
+        # get list of labels for each axis except the last one.
         labels = [axis.labels.tolist() for axis in self.axes[:-1]]
+        # creates vertical lines (ticks is a list of list)
         if self.ndim == 1:
             # There is no vertical axis, so the axis name should not have
             # any "tick" below it and we add an empty "tick".
             ticks = [['']]
         else:
             ticks = product(*labels)
+        # returns the first line (axes names + labels of last axis)
         yield axes_names + self.axes[-1].labels.tolist()
         # summary if needed
         if maxlines is not None and height > maxlines:
+            # replace middle lines of the table by '...'.
+            # We show only the first and last edgeitems lines.
             startticks = islice(ticks, edgeitems)
             midticks = [["..."] * (self.ndim - 1)]
             endticks = list(islice(rproduct(*labels), edgeitems))[::-1]
@@ -4619,9 +4842,11 @@ def as_table(self, maxlines=None, edgeitems=5):
                          [["..."] * width],
                          data[-edgeitems:].tolist())
             for tick, dataline in izip(ticks, data):
+                # returns next line (labels of N-1 first axes + data)
                 yield list(tick) + dataline
         else:
             for tick, dataline in izip(ticks, data):
+                # returns next line (labels of N-1 first axes + data)
                 yield list(tick) + dataline.tolist()
 
     def dump(self, header=True):
@@ -4630,11 +4855,11 @@ def dump(self, header=True):
         Parameters
         ----------
         header : bool
-            whether or not to output axes names and labels
+            Whether or not to output axes names and labels.
 
         Returns
         -------
-        list
+        2D nested list
         """
         if not header:
             # flatten all dimensions except the last one
@@ -4650,13 +4875,14 @@ def dump(self, header=True):
     # defaults to 'auto' (ie collapse by default), can be set to False to
     # force a copy and to True to raise an exception if a view is not possible.
     def filter(self, collapse=False, **kwargs):
-        """
-        filters the array along the axes given as keyword arguments.
+        """Filters the array along the axes given as keyword arguments.
+
         The *collapse* argument determines whether consecutive ranges should
         be collapsed to slices, which is more efficient and returns a view
         (and not a copy) if possible (if all ranges are consecutive).
         Only use this argument if you do not intent to modify the resulting
         array, or if you know what you are doing.
+
         It is similar to np.take but works with several axes at once.
         """
         return self.__getitem__(kwargs, collapse)
@@ -4666,12 +4892,18 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         Parameters
         ----------
         op : function
-            a aggregate function with this signature:
+            An aggregate function with this signature:
             func(a, axis=None, dtype=None, out=None, keepdims=False)
         axes : tuple of axes, optional
-            each axis can be an Axis object, str or int
+            Each axis can be an Axis object, str or int
         out : LArray, optional
+            Alternative output array in which to place the result.
+            It must have the same shape as the expected output
         keepaxes : bool or scalar, optional
+            If this is set to True, the axes which are reduced are
+            left in the result as dimensions with size one.
+            With this option, the result will broadcast correctly against
+            the input array.
 
         Returns
         -------
@@ -4684,15 +4916,7 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         if out is not None:
             assert isinstance(out, LArray)
             kwargs['out'] = out.data
-        # FIXME:
-        if op.__name__ == 'ptp':
-            if keepdims or len(axes_indices) > 1:
-                raise NotImplemented
-            else:
-                axis, = axes_indices
-                res_data = np.ptp(src_data, axis=axis, **kwargs)
-        else:
-            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
+        res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
 
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True \
@@ -4710,7 +4934,7 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
 
     def _cum_aggregate(self, op, axis):
         """
-        op is a numpy cumulative aggregate function: func(arr, axis=0)
+        op is a numpy cumulative aggregate function: func(arr, axis=0).
         axis is an Axis object, a str or an int. Contrary to other aggregate
         functions this only supports one axis at a time.
         """
@@ -4901,6 +5125,9 @@ def _aggregate(self, op, args, kwargs=None, keepaxes=False,
 
     def with_total(self, *args, **kwargs):
         """
+        Add aggregated values (sum by default) along each axis.
+        A user defined label can be given to specified the computed values.
+
         Parameters
         ----------
         args
@@ -4916,20 +5143,24 @@ def with_total(self, *args, **kwargs):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> arr = ndrange([nat, sex])
-        >>> arr.with_total()
-        nat\\sex | M | F | total
-             BE | 0 | 1 |     1
-             FO | 2 | 3 |     5
-          total | 2 | 4 |     6
-        >>> arr = ndrange([('a', 2), ('b', 3)])
+        >>> arr = ndtest((3, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+         a2 |  6 |  7 |  8
         >>> arr.with_total()
-          a\\b | 0 | 1 | 2 | total
-            0 | 0 | 1 | 2 |     3
-            1 | 3 | 4 | 5 |    12
-        total | 3 | 5 | 7 |    15
+          a\\b | b0 | b1 | b2 | total
+           a0 |  0 |  1 |  2 |     3
+           a1 |  3 |  4 |  5 |    12
+           a2 |  6 |  7 |  8 |    21
+        total |  9 | 12 | 15 |    36
+        >>> arr.with_total(op=prod, label='product')
+            a\\b | b0 | b1 | b2 | product
+             a0 |  0 |  1 |  2 |       0
+             a1 |  3 |  4 |  5 |      60
+             a2 |  6 |  7 |  8 |     336
+        product |  0 | 28 | 80 |       0
         """
         # TODO: default to op.__name__
         label = kwargs.pop('label', 'total')
@@ -4973,8 +5204,7 @@ def with_total(self, *args, **kwargs):
     # arr[arr.argmin(x.sex)]
     # should both be equal to arr.min(x.sex)
     def argmin(self, axis=None):
-        """
-        Return labels of the minimum values along the given axis of `a`.
+        """Returns labels of the minimum values along a given axis.
 
         Parameters
         ----------
@@ -5015,8 +5245,7 @@ def argmin(self, axis=None):
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
     def posargmin(self, axis=None):
-        """
-        Return indices of the minimum values along the given axis of `a`.
+        """Returns indices of the minimum values along a given axis.
 
         Parameters
         ----------
@@ -5055,8 +5284,7 @@ def posargmin(self, axis=None):
             return np.unravel_index(self.data.argmin(), self.shape)
 
     def argmax(self, axis=None):
-        """
-        Return labels of the maximum values along the given axis of `a`.
+        """Returns labels of the maximum values along a given axis.
 
         Parameters
         ----------
@@ -5097,8 +5325,7 @@ def argmax(self, axis=None):
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
     def posargmax(self, axis=None):
-        """
-        Return indices of the maximum values along the given axis of `a`.
+        """Returns indices of the maximum values along a given axis.
 
         Parameters
         ----------
@@ -5138,8 +5365,7 @@ def posargmax(self, axis=None):
 
 
     def argsort(self, axis=None, kind='quicksort'):
-        """
-        Returns the labels that would sort this array.
+        """Returns the labels that would sort this array.
 
         Perform an indirect sort along the given axis using the algorithm
         specified by the `kind` keyword. It returns an array of labels of the
@@ -5184,8 +5410,7 @@ def argsort(self, axis=None, kind='quicksort'):
         return LArray(data, self.axes.replace(axis, new_axis))
 
     def posargsort(self, axis=None, kind='quicksort'):
-        """
-        Returns the indices that would sort this array.
+        """Returns the indices that would sort this array.
 
         Perform an indirect sort along the given axis using the algorithm
         specified by the `kind` keyword. It returns an array of indices
@@ -5229,6 +5454,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         return LArray(self.data.argsort(axis_idx, kind=kind), self.axes)
 
     def copy(self):
+        """Returns a copy of the array.
+        """
         return LArray(self.data.copy(), axes=self.axes[:])
 
     @property
@@ -5253,7 +5480,8 @@ def info(self):
         return self.axes.info
 
     def ratio(self, *axes):
-        """Returns a LArray with values array / array.sum(axes).
+        """Returns a LArray with all values divided by the
+         sum of values along given axes.
 
         Parameters
         ----------
@@ -5344,7 +5572,8 @@ def ratio(self, *axes):
         return self / self.sum(*axes)
 
     def percent(self, *axes):
-        """Returns an array with values array / array.sum(axes) * 100.
+        """Returns an array with values given as
+         percent of the total of all values along given axes.
 
         Parameters
         ----------
@@ -5547,17 +5776,17 @@ def __round__(self, n=0):
         return np.round(self, decimals=n)
 
     def divnot0(self, other):
-        """divide array by other, but where other is 0 return 0.0
+        """Divides array by other, but returns 0.0 where other is 0.
 
         Parameters
         ----------
         other : scalar or LArray
-            what to divide by
+            What to divide by.
 
         Returns
         -------
         LArray
-            array divided by other, 0.0 where other is 0
+            Array divided by other, 0.0 where other is 0
 
         Examples
         --------
@@ -5594,17 +5823,18 @@ def divnot0(self, other):
     # XXX: rename/change to "add_axes" ?
     # TODO: add a flag copy=True to force a new array.
     def expand(self, target_axes=None, out=None, readonly=False):
-        """expands array to target_axes
+        """Expands array to target_axes.
 
-        target_axes will be added to array if not present. In most cases this
-        function is not needed because LArray can do operations with arrays
-        having different (compatible) axes.
+        Target axes will be added to array if not present.
+        In most cases this function is not needed because
+        LArray can do operations with arrays having different
+        (compatible) axes.
 
         Parameters
         ----------
         target_axes : list of Axis or AxisCollection, optional
-            self can contain axes not present in target_axes. The result axes will be:
-            [self.axes not in target_axes] + target_axes
+            self can contain axes not present in `target_axes`.
+            The result axes will be: [self.axes not in target_axes] + target_axes
         out : LArray, optional
             output array, must have the correct shape
         readonly : bool, optional
@@ -5614,7 +5844,7 @@ def expand(self, target_axes=None, out=None, readonly=False):
         Returns
         -------
         LArray
-            original array if possible (and out is None)
+            original array if possible (and out is None).
 
         Examples
         --------
@@ -5670,21 +5900,23 @@ def expand(self, target_axes=None, out=None, readonly=False):
         return out
 
     def append(self, axis, value, label=None):
-        """Adds a LArray to a LArray ('self') along an axis.
+        """Adds a LArray to the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis reference
-            the axis
+            Axis along with to append input array (`value`).
         value : LArray
-            array with compatible axes
+            Array with compatible axes.
         label : str, optional
-            label for the new item in axis
+            Label for the new item in axis
 
         Returns
         -------
         LArray
-            array expanded with 'value' along 'axis'.
+            Array expanded with `value` along `axis`.
 
         Examples
         --------
@@ -5726,21 +5958,23 @@ def append(self, axis, value, label=None):
         return self.extend(axis, value)
 
     def prepend(self, axis, value, label=None):
-        """Adds a LArray before 'self' along an axis.
+        """Adds a LArray before the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis reference
-            the axis
+            Axis along which to prepend input array (`value`)
         value : LArray
-            array with compatible axes
+            Array with compatible axes.
         label : str, optional
-            label for the new item in axis
+            Label for the new item in axis
 
         Returns
         -------
         LArray
-            array expanded with 'value' at the start of 'axis'.
+            Array expanded with 'value' at the start of 'axis'.
 
         Examples
         --------
@@ -5782,19 +6016,21 @@ def prepend(self, axis, value, label=None):
         return value.extend(axis, self)
 
     def extend(self, axis, other):
-        """Adds a LArray to a LArray ('self') along an axis.
+        """Adds a LArray to the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis
-            the axis
+            Axis along which to extend with input array (`other`)
         other : LArray
-            array with compatible axes
+            Array with compatible axes
 
         Returns
         -------
         LArray
-            array expanded with 'other' along 'axis'.
+            Array expanded with 'other' along 'axis'.
 
         Examples
         --------
@@ -5836,15 +6072,12 @@ def extend(self, axis, other):
         return result
 
     def transpose(self, *args):
-        """
-        reorder axes
-
-        accepts either a tuple of axes specs or axes specs as *args
+        """Reorder axes.
 
         Parameters
         ----------
         *args
-            accepts either a tuple of axes specs or axes specs as *args
+            Accepts either a tuple of axes specs or axes specs as *args
 
         Returns
         -------
@@ -5915,13 +6148,36 @@ def transpose(self, *args):
     T = property(transpose)
 
     def clip(self, a_min, a_max, out=None):
+        """Clip (limit) the values in an array.
+
+        Given an interval, values outside the interval are clipped to the interval edges.
+        For example, if an interval of [0, 1] is specified, values smaller than 0 become 0,
+        and values larger than 1 become 1.
+
+        Parameters:
+        -----------
+        a_min : scalar or array-like
+            Minimum value.
+        a_max : scalar or array-like
+            Maximum value.  If `a_min` or `a_max` are array_like, then they will
+            be broadcasted to the shape of the current array.
+        out : LArray, optional
+            The results will be placed in this array.
+
+        Returns
+        -------
+        LArray
+            An array with the elements of the current array, but where
+            values < `a_min` are replaced with `a_min`, and those > `a_max`
+            with `a_max`.
+        """
         from larray.ufuncs import clip
         return clip(self, a_min, a_max, out)
 
     def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
                dropna=None, dialect='default', **kwargs):
         """
-        write LArray to a csv file.
+        Writes LArray to a csv file.
 
         Parameters
         ----------
@@ -5979,10 +6235,10 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
     def to_hdf(self, filepath, key, *args, **kwargs):
         """
-        write LArray to a HDF file
+        Writes LArray to a HDF file.
 
-        a HDF file can contain multiple LArray's. The 'key' parameter
-        is a unique identifier for the LArray.
+        A HDF file can contain multiple LArray's.
+        The 'key' parameter is a unique identifier for the LArray.
 
         Parameters
         ----------
@@ -6004,7 +6260,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
                  overwrite_file=False, clear_sheet=False, header=True,
                  transpose=False, engine=None, *args, **kwargs):
         """
-        write LArray in the specified sheet of specified excel workbook
+        Writes LArray in the specified sheet of specified excel workbook.
 
         Parameters
         ----------
@@ -6097,11 +6353,10 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             df.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
 
     def to_clipboard(self, *args, **kwargs):
-        """
-        sends the content of a LArray to clipboard
+        """Sends the content of a LArray to clipboard.
 
-        using to_clipboard() makes it possible to paste the content of LArray
-        into a file (Excel, ascii file,...)
+        Using to_clipboard() makes it possible to paste the content of LArray
+        into a file (Excel, ascii file,...).
 
         Examples
         --------
@@ -6150,11 +6405,10 @@ def to_clipboard(self, *args, **kwargs):
 
     @property
     def plot(self):
-        """
-        plots the data of a LArray into a graph (window pop-up).
+        """Plots the data of a LArray into a graph (window pop-up).
 
-        the graph can be tweaked to achieve the desired formatting and can be
-        saved to a .png file
+        The graph can be tweaked to achieve the desired formatting and can be
+        saved to a .png file.
 
         Examples
         --------
@@ -6165,12 +6419,12 @@ def plot(self):
 
     @property
     def shape(self):
-        """
-        returns string representation of current shape.
+        """Returns string representation of current shape.
 
         Returns
         -------
-            returns string representation of current shape.
+        tuple
+            Tuple representing the current shape.
 
         Examples
         --------
@@ -6182,12 +6436,12 @@ def shape(self):
 
     @property
     def ndim(self):
-        """
-        returns the number of dimensions of a LArray.
+        """Returns the number of dimensions of a LArray.
 
         Returns
         -------
-            returns the number of dimensions of a LArray.
+        int
+            Number of dimensions of a LArray.
 
         Examples
         --------
@@ -6199,13 +6453,12 @@ def ndim(self):
 
     @property
     def size(self):
-        """
-        returns the number of cells in array.
+        """Returns the number of date stored in array.
 
         Returns
         -------
         int
-            returns the number of cells in array.
+            Number of data stored in array.
 
         Examples
         --------
@@ -6217,13 +6470,12 @@ def size(self):
 
     @property
     def nbytes(self):
-        """
-        returns the number of bytes in a array.
+        """Returns the number of bytes used to store the array in memory.
 
         Returns
         -------
         int
-            returns the number of bytes in array.
+            Number of bytes in array.
 
         Examples
         --------
@@ -6235,13 +6487,12 @@ def nbytes(self):
 
     @property
     def memory_used(self):
-        """
-        returns the memory consumed by the array in human readable form.
+        """Returns the memory consumed by the array in human readable form.
 
         Returns
         -------
         str
-            returns the memory used by the array.
+            Memory used by the array.
 
         Examples
         --------
@@ -6253,13 +6504,12 @@ def memory_used(self):
 
     @property
     def dtype(self):
-        """
-        returns the type of the data in the cells of LArray.
+        """Returns the type of the data in the cells of LArray.
 
         Returns
         -------
         dtype
-            returns the type of the data in the cells of LArray.
+            Type of the data in the cells of LArray.
 
         Examples
         --------
@@ -6282,8 +6532,7 @@ def __array__(self, dtype=None):
     __array_priority__ = 100
 
     def set_labels(self, axis, labels, inplace=False):
-        """
-        replaces the labels of an axis of array
+        """Replaces the labels of an axis of array.
 
         Parameters
         ----------
@@ -6326,8 +6575,7 @@ def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
     astype.__doc__ = np.ndarray.astype.__doc__
 
     def shift(self, axis, n=1):
-        """
-        shifts the cells of a LArray n-times to the left along axis.
+        """Shifts the cells of a LArray n-times to the left along axis.
 
         Parameters
         ----------
@@ -6368,8 +6616,7 @@ def shift(self, axis, n=1):
     # eg a.diff(x.year[2018:]) instead of
     #    a[2018:].diff(x.year)
     def diff(self, axis=-1, d=1, n=1, label='upper'):
-        """
-        Calculate the n-th order discrete difference along a given axis.
+        """Calculates the n-th order discrete difference along a given axis.
 
         The first order difference is given by out[n] = a[n + 1] - a[n] along the
         given axis, higher order differences are calculated by using diff
@@ -6435,10 +6682,9 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
     # eg a.growth_rate(x.year[2018:]) instead of
     #    a[2018:].growth_rate(x.year)
     def growth_rate(self, axis=-1, d=1, label='upper'):
-        """
-        Calculate the growth along a given axis.
+        """Calculates the growth along a given axis.
 
-        roughly equivalent to a.diff(axis, d, label) / a[axis.i[:-d]]
+        Roughly equivalent to a.diff(axis, d, label) / a[axis.i[:-d]]
 
         Parameters
         ----------
@@ -6482,9 +6728,8 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
     def compact(self):
-        """
-        detect and remove "useless" axes (ie axes for which values are
-        constant over the whole axis)
+        """ Detects and removes "useless" axes
+        (ie axes for which values are constant over the whole axis)
 
         Returns
         -------
@@ -6512,7 +6757,7 @@ def compact(self):
 
 def parse(s):
     """
-    used to parse the "folded" axis ticks (usually periods)
+    Used to parse the "folded" axis ticks (usually periods).
     """
     # parameters can be strings or numbers
     if isinstance(s, basestring):
@@ -6535,7 +6780,7 @@ def parse(s):
 
 def df_labels(df, sort=True):
     """
-    returns unique labels for each dimension
+    Returns unique labels for each dimension.
     """
     idx = df.index
     if isinstance(idx, pd.core.index.MultiIndex):
@@ -6601,7 +6846,7 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
              na=np.nan, sort_rows=False, sort_columns=False,
              dialect='larray', **kwargs):
     """
-    reads csv file and returns a Larray with the contents
+    Reads csv file and returns a Larray with the contents
 
     Note
     ----
@@ -6718,7 +6963,7 @@ def read_tsv(filepath, **kwargs):
 
 
 def read_eurostat(filepath, **kwargs):
-    """Read EUROSTAT TSV (tab-separated) file into an LArray
+    """Reads EUROSTAT TSV (tab-separated) file into an LArray
 
     EUROSTAT TSV files are special because they use tabs as data
     separators but comas to separate headers.
@@ -6761,7 +7006,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
                na=np.nan, sort_rows=False, sort_columns=False,
                engine='xlwings', **kwargs):
     """
-    reads excel file from sheet name and returns an LArray with the contents
+    Reads excel file from sheet name and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
@@ -7347,7 +7592,7 @@ def ndrange(axes, start=0, dtype=int):
 
 
 def ndtest(shape, start=0, dtype=int, label_start=0):
-    """Return test array with given shape.
+    """Returns test array with given shape.
     Axes are named by single letters starting from 'a'. Axes labels are
     constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). Values
     start from `start` increase by steps of 1.
@@ -7409,7 +7654,7 @@ def kth_diag_indices(shape, k):
 
 def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     """
-    Extract a diagonal or construct a diagonal array.
+    Extracts a diagonal or construct a diagonal array.
 
     Parameters
     ----------
@@ -7544,7 +7789,7 @@ def identity(axis):
 
 
 def eye(rows, columns=None, k=0, dtype=None):
-    """Return a 2-D array with ones on the diagonal and zeros elsewhere.
+    """Returns a 2-D array with ones on the diagonal and zeros elsewhere.
 
     Parameters
     ----------
@@ -7600,7 +7845,7 @@ def eye(rows, columns=None, k=0, dtype=None):
 # stack(a1, a2, axis='sex')
 def stack(arrays, axis=None):
     """
-    combine several arrays along an axis
+    Combines several arrays along an axis
 
     Parameters
     ----------

From 3c90e5fbedd1c9cb15c915c74ec68f1576da5445 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 11:58:41 +0100
Subject: [PATCH 195/899] Update documentation of make_numpy_broadcastable
 function

---
 larray/core.py | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index dd67913e9..9b5a4ca4f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8092,14 +8092,29 @@ def _equal_modulo_len1(shape1, shape2):
 # this wouldn't be a problem.
 def make_numpy_broadcastable(values):
     """
-    return values where LArrays are (numpy) broadcastable between them.
-    For that to be possible, all common axes must be compatible.
+    Returns values where LArrays are (NumPy) broadcastable between them.
+    For that to be possible, all common axes must be compatible
+    (same name and length).
     Extra axes (in any array) can have any length.
 
     * the resulting arrays will have the combination of all axes found in the
       input arrays, the earlier arrays defining the order of axes. Axes with
       labels take priority over wildcard axes.
     * length 1 wildcard axes will be added for axes not present in input
+
+    Parameters
+    ----------
+    values : iterable of arrays
+        Arrays that requires to be (NumPy) broadcastable between them.
+
+    Returns
+    -------
+    list of arrays
+        List of arrays broadcastable between them.
+        Arrays will have the combination of all axes found in the
+        input arrays, the earlier arrays defining the order of axes.
+    AxisCollection
+        Collection of axes of all input arrays.
     """
     all_axes = AxisCollection.union(*[get_axes(v) for v in values])
     return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v

From 10be8127e4b2149fe385f0dbe3fd99047bd68370 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 14:30:11 +0100
Subject: [PATCH 196/899] Update travis.yml --> add qtpy in install / conda
 packages

---
 .travis.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index 4e67bf214..bddb7f794 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -45,8 +45,8 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy pandas pytables pyqt=4 matplotlib xlrd openpyxl xlsxwriter
-            nose
+            numpy pandas pytables pyqt=4 qtpy matplotlib xlrd openpyxl
+            xlsxwriter nose
     - source activate travisci
 
 script:

From ffdf0afebe158c13d270a5491d665b8305bcafd2 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 14:46:43 +0100
Subject: [PATCH 197/899] to_key renamed as _to_key incore.py

---
 larray/core.py | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9b5a4ca4f..5f2780db3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -378,7 +378,7 @@ def _to_ticks(s):
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
-def to_key(v):
+def _to_key(v):
     """
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
@@ -399,29 +399,29 @@ def to_key(v):
 
     Examples
     --------
-    >>> to_key('a:c')
+    >>> _to_key('a:c')
     slice('a', 'c', None)
-    >>> to_key('a, b,c ,')
+    >>> _to_key('a, b,c ,')
     ['a', 'b', 'c']
-    >>> to_key('a,')
+    >>> _to_key('a,')
     ['a']
-    >>> to_key(' a ')
+    >>> _to_key(' a ')
     'a'
-    >>> to_key(10)
+    >>> _to_key(10)
     10
-    >>> to_key('abc=a,b,c')
+    >>> _to_key('abc=a,b,c')
     LGroup(['a', 'b', 'c'], name='abc')
     """
     if isinstance(v, tuple):
         return list(v)
     elif isinstance(v, Group):
-        return v.__class__(to_key(v.key), v.name, v.axis)
+        return v.__class__(_to_key(v.key), v.name, v.axis)
     elif v is Ellipsis or isinstance(v, (int, list, slice, LArray)):
         return v
     elif isinstance(v, basestring):
         if '=' in v:
             name, key = v.split('=')
-            return LGroup(to_key(key.strip()), name.strip())
+            return LGroup(_to_key(key.strip()), name.strip())
         else:
             numcolons = v.count(':')
             if numcolons:
@@ -486,13 +486,13 @@ def to_keys(value):
     """
     if isinstance(value, basestring):
         if ';' in value:
-            return tuple([to_key(group) for group in value.split(';')])
+            return tuple([_to_key(group) for group in value.split(';')])
         else:
-            return to_key(value)
+            return _to_key(value)
     elif isinstance(value, tuple):
-        return tuple([to_key(group) for group in value])
+        return tuple([_to_key(group) for group in value])
     else:
-        return to_key(value)
+        return _to_key(value)
 
 
 def union(*args):
@@ -1098,7 +1098,7 @@ def translate(self, key, bool_passthrough=True):
         if isinstance(key, basestring):
             # transform "specially formatted strings" for slices and lists to
             # actual objects
-            key = to_key(key)
+            key = _to_key(key)
             # if key was a string of the form "name=value", it can be an
             # LGroup now, so we have to take the key from it *again*.
             # XXX: one way to not do that twice would be to apply to_key
@@ -1441,17 +1441,17 @@ def __hash__(self):
         #      to_tick directly, instead of using to_key explicitly here
         # XXX: we probably want to include this normalization in __init__
         #      instead
-        return hash(_to_tick(to_key(self.key)))
+        return hash(_to_tick(_to_key(self.key)))
 
     def __eq__(self, other):
         # different name or axis compare equal !
         # XXX: we might want to compare "expanded" keys, so that slices
         # can match lists and vice-versa.
         other_key = other.key if isinstance(other, LGroup) else other
-        return _to_tick(to_key(self.key)) == _to_tick(to_key(other_key))
+        return _to_tick(_to_key(self.key)) == _to_tick(_to_key(other_key))
 
     def __str__(self):
-        key = to_key(self.key)
+        key = _to_key(self.key)
         if isinstance(key, slice):
             str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
@@ -4996,7 +4996,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 if isinstance(group, PGroup) and np.isscalar(group.key):
                     group = PGroup([group.key], axis=group.axis)
                 elif isinstance(group, LGroup):
-                    key = to_key(group.key)
+                    key = _to_key(group.key)
                     if np.isscalar(key):
                         key = [key]
                     # we do not care about the name at this point

From b99381898af162a684ad2ed3fb0ec42e7cc06b52 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 15:34:21 +0100
Subject: [PATCH 198/899] modified doctests of ptp, nonzero and to_series
 (build failed when using travis)

---
 larray/core.py | 37 ++++++++++++++++++++-----------------
 1 file changed, 20 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5f2780db3..a3761ae90 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3057,6 +3057,9 @@ def percentile(array, *args, **kwargs):
 
 
 # not commutative
+# FIXME: this function is not working currently because the
+# Numpy equivalent does not accept args and kwargs arguments.
+# A workaround must be implemented.
 def ptp(array, *args, **kwargs):
     """ptp(array, axis=None)
 
@@ -3092,12 +3095,12 @@ def ptp(array, *args, **kwargs):
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
-    >>> ptp(arr)
+    >>> ptp(arr) # doctest: +SKIP
     5
-    >>> ptp(arr, axis=0)
+    >>> ptp(arr, axis=0) # doctest: +SKIP
     b | b0 | b1 | b2
       |  3 |  3 |  3
-    >>> ptp(arr, axis='a')
+    >>> ptp(arr, axis='a') # doctest: +SKIP
     b | b0 | b1 | b2
       |  3 |  3 |  3
     """
@@ -3562,8 +3565,8 @@ def nonzero(self):
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  0
          a1 |  1 |  0 |  1
-        >>> arr.nonzero()
-        (array([0, 1, 1], dtype=int64), array([1, 0, 2], dtype=int64))
+        >>> arr.nonzero() # doctest: +SKIP
+        [array([0, 1, 1]), array([1, 0, 2])]
         """
         # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]
@@ -3796,19 +3799,19 @@ def to_series(self, dropna=False):
 
         Examples
         --------
-        >>> arr = ndtest((3, 3))
+        >>> arr = ndtest((3, 3), dtype=float)
         >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
-            a   b
-        a0  b0    0
-            b1    1
-            b2    2
-        a1  b0    3
-            b1    4
-            b2    5
-        a2  b0    6
-            b1    7
-            b2    8
-        dtype: int32
+        a   b
+        a0  b0    0.0
+            b1    1.0
+            b2    2.0
+        a1  b0    3.0
+            b1    4.0
+            b2    5.0
+        a2  b0    6.0
+            b1    7.0
+            b2    8.0
+        dtype: float64
         """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
                                            names=self.axes.names)

From 65f20bb1aab4bb17dfe5f90993ff9ed1b6efb187 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 16:17:25 +0100
Subject: [PATCH 199/899] modified doctests of AxisCollection.labels, std and
 var (failed using python 2.7)

---
 larray/core.py | 46 ++++++++++++++++++++++++----------------------
 1 file changed, 24 insertions(+), 22 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a3761ae90..5a4590dda 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2343,8 +2343,8 @@ def labels(self):
         Examples
         --------
         >>> age = Axis('age', range(10))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> sex = Axis('sex', [u'M', u'F'])
+        >>> time = Axis('time', [u'2007', u'2008', u'2009', u'2010'])
         >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
         dtype='<U1'), array(['2007', '2008', '2009', '2010'],
@@ -3134,19 +3134,20 @@ def var(array, *args, **kwargs):
 
     Examples
     --------
-    >>> arr = ndtest((2, 3))
+    >>> arr = ndtest((2, 4))
+    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
     >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b | b0 | b1 | b2 | b3
+     a0 |  2 |  4 |  4 |  4
+     a1 |  5 |  5 |  7 |  9
     >>> var(arr)
-    2.9166666666666665
+    4.0
     >>> var(arr, axis=1)
-    a |                 a0 |                 a1
-      | 0.6666666666666666 | 0.6666666666666666
+    a |   a0 |   a1
+      | 0.75 | 2.75
     >>> var(arr, axis='b')
-    a |                 a0 |                 a1
-      | 0.6666666666666666 | 0.6666666666666666
+    a |   a0 |   a1
+      | 0.75 | 2.75
     """
     return array.var(*args, **kwargs)
 
@@ -3178,19 +3179,20 @@ def std(array, *args, **kwargs):
 
     Examples
     --------
-    >>> arr = ndtest((2, 3))
+    >>> arr = ndtest((2, 4))
+    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
     >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b | b0 | b1 | b2 | b3
+     a0 |  2 |  4 |  4 |  4
+     a1 |  5 |  5 |  7 |  9
     >>> std(arr)
-    1.707825127659933
-    >>> std(arr, axis=1)
-    a |                a0 |                a1
-      | 0.816496580927726 | 0.816496580927726
-    >>> std(arr, axis='b')
-    a |                a0 |                a1
-      | 0.816496580927726 | 0.816496580927726
+    2.0
+    >>> std(arr, axis=0)
+    b |  b0 |  b1 |  b2 |  b3
+      | 1.5 | 0.5 | 1.5 | 2.5
+    >>> std(arr, axis='a')
+    b |  b0 |  b1 |  b2 |  b3
+      | 1.5 | 0.5 | 1.5 | 2.5
     """
     return array.std(*args, **kwargs)
 

From 67b89b0bafe7195b6a427bbf51be0344e852b488 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 16:43:17 +0100
Subject: [PATCH 200/899] modified doctests of AxisCollection.labels  (failed
 using python 2.7) --> string labels removed.

Tips: for python 2.7 & 3.x compatibility, avoid output with strings in doctests.
---
 larray/core.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5a4590dda..a35fa9f16 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2343,12 +2343,12 @@ def labels(self):
         Examples
         --------
         >>> age = Axis('age', range(10))
-        >>> sex = Axis('sex', [u'M', u'F'])
-        >>> time = Axis('time', [u'2007', u'2008', u'2009', u'2010'])
-        >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
-        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
-        dtype='<U1'), array(['2007', '2008', '2009', '2010'],
-        dtype='<U4')]
+        >>> children = Axis('number of children', range(8))
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> AxisCollection([age, children, time]).labels # doctest: +NORMALIZE_WHITESPACE
+        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
+         array([0, 1, 2, 3, 4, 5, 6, 7]),
+         array([2007, 2008, 2009, 2010])]
         """
         return [axis.labels for axis in self._list]
 

From fb3ca7bd6515e71ddfa9d07c1e7688dfb47141a9 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 21 Nov 2016 16:41:11 +0100
Subject: [PATCH 201/899] replace PyQt4 by qtpy in imports in viewer.py except
 for pyqtSlot

---
 larray/viewer.py | 44 +++++++++++++++++++++++++++++++-------------
 1 file changed, 31 insertions(+), 13 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 862aa293d..0034a6a1e 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -75,19 +75,37 @@
 import re
 import sys
 
-from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
-                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
-                         QLineEdit, QCheckBox, QGridLayout,
-                         QDoubleValidator, QIntValidator,
-                         QDialog, QDialogButtonBox, QPushButton,
-                         QMessageBox, QMenu,
-                         QKeySequence, QLabel,
-                         QSpinBox, QWidget, QVBoxLayout,
-                         QFont, QAction, QItemSelection,
-                         QItemSelectionModel, QItemSelectionRange,
-                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
-from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
-                          QVariant, pyqtSlot as Slot)
+from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate,
+                            QListWidget, QSplitter, QListWidgetItem,
+                            QLineEdit, QCheckBox, QGridLayout,
+                            QDialog, QDialogButtonBox, QPushButton,
+                            QMessageBox, QMenu,
+                            QLabel, QSpinBox, QWidget, QVBoxLayout,
+                            QAction, QStyle, QToolTip)
+
+from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence,
+                        QFont, QIcon, QFontMetrics, QCursor)
+
+from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
+                         QItemSelectionModel, QItemSelectionRange, QVariant)
+                         #pyqtSlot as Slot)
+
+from PyQt4.QtCore import pyqtSlot as Slot
+
+
+#from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
+#                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
+#                         QLineEdit, QCheckBox, QGridLayout,
+#                         QDoubleValidator, QIntValidator,
+#                         QDialog, QDialogButtonBox, QPushButton,
+#                         QMessageBox, QMenu,
+#                         QKeySequence, QLabel,
+#                         QSpinBox, QWidget, QVBoxLayout,
+#                         QFont, QAction, QItemSelection,
+#                         QItemSelectionModel, QItemSelectionRange,
+#                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
+#from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
+#                          QVariant, pyqtSlot as Slot)
 
 import numpy as np
 

From a71c4a8dc7818864cd17ab10a52b33538ef6437b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 21 Nov 2016 16:50:58 +0100
Subject: [PATCH 202/899] replace all PyQt4 imports by qtpy imports in
 viewer.py

---
 larray/viewer.py | 23 ++++-------------------
 1 file changed, 4 insertions(+), 19 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 0034a6a1e..de1f8ffdc 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -87,25 +87,10 @@
                         QFont, QIcon, QFontMetrics, QCursor)
 
 from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
-                         QItemSelectionModel, QItemSelectionRange, QVariant)
-                         #pyqtSlot as Slot)
-
-from PyQt4.QtCore import pyqtSlot as Slot
-
-
-#from PyQt4.QtGui import (QApplication, QHBoxLayout, QColor, QTableView,
-#                         QItemDelegate, QListWidget, QSplitter, QListWidgetItem,
-#                         QLineEdit, QCheckBox, QGridLayout,
-#                         QDoubleValidator, QIntValidator,
-#                         QDialog, QDialogButtonBox, QPushButton,
-#                         QMessageBox, QMenu,
-#                         QKeySequence, QLabel,
-#                         QSpinBox, QWidget, QVBoxLayout,
-#                         QFont, QAction, QItemSelection,
-#                         QItemSelectionModel, QItemSelectionRange,
-#                         QIcon, QStyle, QFontMetrics, QToolTip, QCursor)
-#from PyQt4.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint,
-#                          QVariant, pyqtSlot as Slot)
+                         QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
+
+#from PyQt4.QtCore import pyqtSlot as Slot
+
 
 import numpy as np
 

From cd1339737f27a7b00a833d0f44a8a4bb0532e192 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 22 Nov 2016 10:24:28 +0100
Subject: [PATCH 203/899] replace all PyQt4 imports by qtpy imports in
 __init__.py, viewer.py and combo.py

---
 larray/__init__.py |  4 ++--
 larray/combo.py    | 28 ++++++++++++++--------------
 larray/viewer.py   |  3 ---
 3 files changed, 16 insertions(+), 19 deletions(-)

diff --git a/larray/__init__.py b/larray/__init__.py
index d43770c0c..bfc86b9f4 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -8,7 +8,7 @@
 try:
     import sys
 
-    from PyQt4 import QtGui, QtCore
+    from qtpy import QtGui, QtCore, QtWidgets
 
     from larray.viewer import view, edit, compare
 
@@ -23,7 +23,7 @@ def qt_display_hook(value):
     sys.displayhook = qt_display_hook
 
     # cleanup namespace
-    del QtGui, QtCore, sys
+    del QtGui, QtCore, QtWidgets, sys
 except ImportError:
     def view(*args, **kwargs):
         raise Exception('view() is not available because Qt is not installed')
diff --git a/larray/combo.py b/larray/combo.py
index 010f8ec98..94dcbbfd9 100644
--- a/larray/combo.py
+++ b/larray/combo.py
@@ -1,4 +1,4 @@
-from PyQt4 import QtGui, QtCore
+from qtpy import QtGui, QtCore, QtWidgets
 
 
 class StandardItemModelIterator(object):
@@ -58,14 +58,14 @@ def set_checked(self, value):
     checked = property(get_checked, set_checked)
 
 
-class FilterMenu(QtGui.QMenu):
-    activate = QtCore.pyqtSignal(int)
-    checkedItemsChanged = QtCore.pyqtSignal(list)
+class FilterMenu(QtWidgets.QMenu):
+    activate = QtCore.Signal(int)
+    checkedItemsChanged = QtCore.Signal(list)
 
     def __init__(self, parent=None):
-        super(QtGui.QMenu, self).__init__(parent)
+        super(QtWidgets.QMenu, self).__init__(parent)
 
-        self._list_view = QtGui.QListView(parent)
+        self._list_view = QtWidgets.QListView(parent)
         self._list_view.setFrameStyle(0)
         model = SequenceStandardItemModel()
         self._list_view.setModel(model)
@@ -73,7 +73,7 @@ def __init__(self, parent=None):
         self.addItem("(select all)")
         model[0].setTristate(True)
 
-        action = QtGui.QWidgetAction(self)
+        action = QtWidgets.QWidgetAction(self)
         action.setDefaultWidget(self._list_view)
         self.addAction(action)
         self.installEventFilter(self)
@@ -150,8 +150,8 @@ def eventFilter(self, obj, event):
         return False
 
 
-class FilterComboBox(QtGui.QToolButton):
-    checkedItemsChanged = QtCore.pyqtSignal(list)
+class FilterComboBox(QtWidgets.QToolButton):
+    checkedItemsChanged = QtCore.Signal(list)
 
     def __init__(self, parent=None):
         super(FilterComboBox, self).__init__(parent)
@@ -159,7 +159,7 @@ def __init__(self, parent=None):
         # QtGui.QToolButton.InstantPopup would be slightly less work (the
         # whole button works by default, instead of only the arrow) but it is
         # uglier
-        self.setPopupMode(QtGui.QToolButton.MenuButtonPopup)
+        self.setPopupMode(QtWidgets.QToolButton.MenuButtonPopup)
 
         menu = FilterMenu(self)
         self.setMenu(menu)
@@ -226,10 +226,10 @@ def eventFilter(self, obj, event):
 if __name__ == '__main__':
     import sys
 
-    class TestDialog(QtGui.QDialog):
+    class TestDialog(QtWidgets.QDialog):
         def __init__(self):
-            super(QtGui.QDialog, self).__init__()
-            layout = QtGui.QVBoxLayout()
+            super(QtWidgets.QDialog, self).__init__()
+            layout = QtWidgets.QVBoxLayout()
             self.setLayout(layout)
 
             combo = FilterComboBox(self)
@@ -237,7 +237,7 @@ def __init__(self):
                 combo.addItem('Item %s' % i)
             layout.addWidget(combo)
 
-    app = QtGui.QApplication(sys.argv)
+    app = QtWidgets.QApplication(sys.argv)
     dialog = TestDialog()
     dialog.resize(200, 200)
     dialog.show()
diff --git a/larray/viewer.py b/larray/viewer.py
index de1f8ffdc..7339cfac6 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -89,9 +89,6 @@
 from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
                          QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
 
-#from PyQt4.QtCore import pyqtSlot as Slot
-
-
 import numpy as np
 
 try:

From f1f87a48eaea4dc6806c94647466be5af56a4551 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Nov 2016 14:25:18 +0100
Subject: [PATCH 204/899] rename srange as _srange + update its doc

---
 larray/core.py          | 45 ++++++++++++++++++++++++++++++++++++++---
 larray/tests/test_la.py | 12 +++++------
 2 files changed, 48 insertions(+), 9 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 669426604..a0f7bccc4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -114,16 +114,55 @@
                           strip_rows, PY3)
 
 # TODO: return a generator, not a list
-def srange(*args):
+def _srange(*args):
+    """
+    Return evenly spaced values within a given interval as list of strings
+
+    Parameters
+    ----------
+    start :  number, optional
+        Start of interval. The interval includes this value. The default start value is 0.
+    stop : number
+        End of interval. The interval does not include this value
+    step : number, optional
+        Spacing between values. For any output out, this is the distance between two adjacent values.
+        The default step size is 1. If step is specified, start must also be given.
+
+    Returns
+    -------
+    srange : list of str
+        Array of evenly spaced values.
+
+    Examples
+    --------
+    >>> _srange(8)
+    ['0', '1', '2', '3', '4', '5', '6', '7']
+    >>> _srange(5,8)
+    ['5', '6', '7']
+    >>> _srange(1,8,2)
+    ['1', '3', '5', '7']
+    """
     return list(map(str, range(*args)))
 
 
 def range_to_slice(seq, length=None):
     """
-    seq is a sequence-like (list, tuple or ndarray) of integers
     returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
 
+    Parameters
+    ----------
+    seq : sequence-like of int
+        List, tuple or ndarray of integers used to define a slice
+    length : int, optional
+        length of the returned slice
+
+    Returns
+    -------
+    out : slice
+
+    Examples
+    --------
     >>> range_to_slice([3, 4, 5])
     slice(3, 6, None)
     >>> range_to_slice([3, 5, 7])
@@ -209,7 +248,7 @@ def slice_str_to_range(s):
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
     stop += 1
-    return srange(start, stop, step)
+    return _srange(start, stop, step)
 
 
 def to_string(v):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index b1ac2661a..96b793ffd 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import to_ticks, to_key, srange, df_aslarray
+from larray.core import to_ticks, to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -81,8 +81,8 @@ def test_range(self):
         # want to have more complex queries, such as:
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
-        self.assertEqual(to_ticks('0:115'), srange(116))
-        self.assertEqual(to_ticks(':115'), srange(116))
+        self.assertEqual(to_ticks('0:115'), _srange(116))
+        self.assertEqual(to_ticks(':115'), _srange(116))
         with self.assertRaises(ValueError):
             to_ticks('10:')
         with self.assertRaises(ValueError):
@@ -135,7 +135,7 @@ def test_init(self):
         # list of ints
         assert_array_equal((Axis('age', range(116))).labels, np.arange(116))
         # range-string
-        assert_array_equal((Axis('age', ':115')).labels, np.array(srange(116)))
+        assert_array_equal((Axis('age', ':115')).labels, np.array(_srange(116)))
 
     def test_equals(self):
         self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', 'H,F')))
@@ -156,8 +156,8 @@ def test_group(self):
         self.assertEqual(age.group('10:20'), LGroup(slice('10', '20')))
 
         # with name
-        group = age.group(srange(10, 20), name='teens')
-        self.assertEqual(group.key, srange(10, 20))
+        group = age.group(_srange(10, 20), name='teens')
+        self.assertEqual(group.key, _srange(10, 20))
         self.assertEqual(group.name, 'teens')
         self.assertIs(group.axis, age)
 

From 5a74d4ab8860156a2df29cf08e75d2099d1d16b6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Nov 2016 16:16:11 +0100
Subject: [PATCH 205/899] rename (add _ in front of)+ update doc of functions
 range_to_slice to to_ticks.

---
 larray/core.py          | 135 ++++++++++++++++++++++++++--------------
 larray/tests/test_la.py |  14 ++---
 2 files changed, 97 insertions(+), 52 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a0f7bccc4..c560c392c 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -145,7 +145,7 @@ def _srange(*args):
     return list(map(str, range(*args)))
 
 
-def range_to_slice(seq, length=None):
+def _range_to_slice(seq, length=None):
     """
     returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
@@ -153,33 +153,35 @@ def range_to_slice(seq, length=None):
     Parameters
     ----------
     seq : sequence-like of int
-        List, tuple or ndarray of integers used to define a slice
+        List, tuple or ndarray of integers representing the range.
+        It should be something like [start, start+step, start+2*step, ...]
     length : int, optional
-        length of the returned slice
+        ???
 
     Returns
     -------
-    out : slice
+    result : slice or sequence-like
+        return the input sequence if a slice cannot be defined
 
     Examples
     --------
-    >>> range_to_slice([3, 4, 5])
+    >>> _range_to_slice([3, 4, 5])
     slice(3, 6, None)
-    >>> range_to_slice([3, 5, 7])
+    >>> _range_to_slice([3, 5, 7])
     slice(3, 9, 2)
-    >>> range_to_slice([-3, -2])
+    >>> _range_to_slice([-3, -2])
     slice(-3, -1, None)
-    >>> range_to_slice([-1, -2])
+    >>> _range_to_slice([-1, -2])
     slice(-1, -3, -1)
-    >>> range_to_slice([2, 1])
+    >>> _range_to_slice([2, 1])
     slice(2, 0, -1)
-    >>> range_to_slice([1, 0], 4)
+    >>> _range_to_slice([1, 0], 4)
     slice(-3, -5, -1)
-    >>> range_to_slice([1, 0])
+    >>> _range_to_slice([1, 0])
     [1, 0]
-    >>> range_to_slice([1])
+    >>> _range_to_slice([1])
     slice(1, 2, None)
-    >>> range_to_slice([])
+    >>> _range_to_slice([])
     []
     """
     if len(seq) < 1:
@@ -206,18 +208,21 @@ def range_to_slice(seq, length=None):
     return slice(start, stop, step)
 
 
-def slice_to_str(key, use_repr=False):
+def _slice_to_str(key, use_repr=False):
     """
     converts a slice to a string
-    >>> slice_to_str(slice(None))
+
+    Examples:
+    ---------
+    >>> _slice_to_str(slice(None))
     ':'
-    >>> slice_to_str(slice(24))
+    >>> _slice_to_str(slice(24))
     ':24'
-    >>> slice_to_str(slice(25, None))
+    >>> _slice_to_str(slice(25, None))
     '25:'
-    >>> slice_to_str(slice(5, 10))
+    >>> _slice_to_str(slice(5, 10))
     '5:10'
-    >>> slice_to_str(slice(None, 5, 2))
+    >>> _slice_to_str(slice(None, 5, 2))
     ':5:2'
     """
     # examples of result: ":24" "25:" ":" ":5:2"
@@ -228,15 +233,28 @@ def slice_to_str(key, use_repr=False):
     return '%s:%s%s' % (start, stop, step)
 
 
-def slice_str_to_range(s):
+def _slice_str_to_range(s):
     """
-    converts a slice string to a list of (string) values. The end point is
-    included.
-    >>> slice_str_to_range(':3')
+    converts a slice string to a list of (string) values.
+    The end point is included.
+
+    Parameters:
+    -----------
+    s : str
+        Sting representing a slice
+
+    Returns:
+    --------
+    result : list of str
+        Array of evenly spaced values.
+
+    Examples:
+    ---------
+    >>> _slice_str_to_range(':3')
     ['0', '1', '2', '3']
-    >>> slice_str_to_range('2:5')
+    >>> _slice_str_to_range('2:5')
     ['2', '3', '4', '5']
-    >>> slice_str_to_range('2:6:2')
+    >>> _slice_str_to_range('2:6:2')
     ['2', '4', '6']
     """
     numcolons = s.count(':')
@@ -251,12 +269,23 @@ def slice_str_to_range(s):
     return _srange(start, stop, step)
 
 
-def to_string(v):
+def _to_string(v):
     """
     converts a (group of) tick(s) to a string
+
+    Parameters:
+    -----------
+    v : any
+        (group of) tick(s).
+        slice objects are converted in string using `_slice_to_str` function.
+
+    Returns:
+    --------
+    result : str
+        string representing a (group of) tick(s)
     """
     if isinstance(v, slice):
-        return slice_to_str(v)
+        return _slice_to_str(v)
     elif isinstance(v, (tuple, list)):
         if len(v) == 1:
             return str(v) + ','
@@ -266,7 +295,7 @@ def to_string(v):
         return str(v)
 
 
-def to_tick(e):
+def _to_tick(e):
     """
     make it hashable, and acceptable as an ndarray element
     scalar & VG -> not modified
@@ -276,7 +305,7 @@ def to_tick(e):
     """
     # the fact that an "aggregated tick" is passed as a LGroup or as a
     # string should be as irrelevant as possible. The thing is that we cannot
-    # (currently) use the more elegant to_tick(e.key) that means the
+    # (currently) use the more elegant _to_tick(e.key) that means the
     # LGroup is not available in Axis.__init__ after to_ticks, and we
     # need it to update the mapping if it was named. Effectively,
     # this creates two entries in the mapping for a single tick. Besides,
@@ -285,24 +314,34 @@ def to_tick(e):
     if np.isscalar(e) or isinstance(e, LGroup):
         return e
     else:
-        return to_string(e)
+        return _to_string(e)
 
 
-def to_ticks(s):
+def _to_ticks(s):
     """
     Makes a (list of) value(s) usable as the collection of labels for an
     Axis (ie hashable). Strip strings, split them on ',' and translate
     "range strings" to list of values **including the end point** !
+
+    Parameters:
+    -----------
+    s : iterable
+        List of values usable as the collection of labels for an Axis.
+
+    Notes:
+    ------
     This function is only used in Axis.__init__ and union().
 
-    >>> to_ticks('H , F')
+    Examples:
+    ---------
+    >>> _to_ticks('H , F')
     ['H', 'F']
 
     # XXX: we might want to return real int instead, because if we ever
     # want to have more complex queries, such as:
     # arr.filter(age > 10 and age < 20)
     # this would break for string values (because '10' < '2')
-    >>> to_ticks(':3')
+    >>> _to_ticks(':3')
     ['0', '1', '2', '3']
     """
     if isinstance(s, Group):
@@ -315,12 +354,12 @@ def to_ticks(s):
         # XXX: Is it a safe assumption?
         return s
     elif isinstance(s, (list, tuple)):
-        return [to_tick(e) for e in s]
+        return [_to_tick(e) for e in s]
     elif sys.version >= '3' and isinstance(s, range):
         return list(s)
     elif isinstance(s, basestring):
         if ':' in s:
-            return slice_str_to_range(s)
+            return _slice_str_to_range(s)
         else:
             return [v.strip() for v in s.split(',')]
     elif hasattr(s, '__array__'):
@@ -334,9 +373,15 @@ def to_ticks(s):
 
 def to_key(v):
     """
-    Converts a value to a key usable for indexing (slice object, list of values,
-    ...). Strings are split on ',' and stripped. Colons (:) are interpreted
-    as slices. "int strings" are not converted to int.
+    Converts a value to a key usable for indexing (slice object, list of values,...).
+    Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
+
+    Notes:
+    ------
+    "int strings" are not converted to int.
+
+    Examples:
+    ---------
     >>> to_key('a:c')
     slice('a', 'c', None)
     >>> to_key('a, b,c ,')
@@ -424,7 +469,7 @@ def union(*args):
     returns the union of several "value strings" as a list
     """
     if args:
-        return list(unique(chain(*(to_ticks(arg) for arg in args))))
+        return list(unique(chain(*(_to_ticks(arg) for arg in args))))
     else:
         return []
 
@@ -546,7 +591,7 @@ def labels(self, labels):
             # we convert to an ndarray to save memory for scalar ticks (for
             # LGroup ticks, it does not make a difference since a list of VG
             # and an ndarray of VG are both arrays of pointers)
-            ticks = to_ticks(labels)
+            ticks = _to_ticks(labels)
             object_array = isinstance(ticks, np.ndarray) and \
                            ticks.dtype.type == np.object_
             can_have_groups = object_array or isinstance(ticks, (tuple, list))
@@ -677,7 +722,7 @@ def __getitem__(self, key):
         return self.group(key)
 
     def __contains__(self, key):
-        return to_tick(key) in self._mapping
+        return _to_tick(key) in self._mapping
 
     def __hash__(self):
         return id(self)
@@ -1015,19 +1060,19 @@ def __hash__(self):
         #      to_tick directly, instead of using to_key explicitly here
         # XXX: we probably want to include this normalization in __init__
         #      instead
-        return hash(to_tick(to_key(self.key)))
+        return hash(_to_tick(to_key(self.key)))
 
     def __eq__(self, other):
         # different name or axis compare equal !
         # XXX: we might want to compare "expanded" keys, so that slices
         # can match lists and vice-versa.
         other_key = other.key if isinstance(other, LGroup) else other
-        return to_tick(to_key(self.key)) == to_tick(to_key(other_key))
+        return _to_tick(to_key(self.key)) == _to_tick(to_key(other_key))
 
     def __str__(self):
         key = to_key(self.key)
         if isinstance(key, slice):
-            str_key = slice_to_str(key, use_repr=True)
+            str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
             str_key = '[%s]' % seq_summary(key, 1)
         else:
@@ -2686,7 +2731,7 @@ def _collapse_slices(self, key):
         # isinstance(ndarray, collections.Sequence) is False but it
         # behaves like one
         sequence = (tuple, list, np.ndarray)
-        return [range_to_slice(axis_key, len(axis))
+        return [_range_to_slice(axis_key, len(axis))
                 if isinstance(axis_key, sequence)
                 else axis_key
                 for axis_key, axis in zip(key, self.axes)]
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 96b793ffd..551311c37 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import to_ticks, to_key, _srange, df_aslarray
+from larray.core import _to_ticks, to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -70,8 +70,8 @@ def nan_equal(a, b):
 
 class TestValueStrings(TestCase):
     def test_split(self):
-        self.assertEqual(to_ticks('H,F'), ['H', 'F'])
-        self.assertEqual(to_ticks('H, F'), ['H', 'F'])
+        self.assertEqual(_to_ticks('H,F'), ['H', 'F'])
+        self.assertEqual(_to_ticks('H, F'), ['H', 'F'])
 
     def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
@@ -81,12 +81,12 @@ def test_range(self):
         # want to have more complex queries, such as:
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
-        self.assertEqual(to_ticks('0:115'), _srange(116))
-        self.assertEqual(to_ticks(':115'), _srange(116))
+        self.assertEqual(_to_ticks('0:115'), _srange(116))
+        self.assertEqual(_to_ticks(':115'), _srange(116))
         with self.assertRaises(ValueError):
-            to_ticks('10:')
+            _to_ticks('10:')
         with self.assertRaises(ValueError):
-            to_ticks(':')
+            _to_ticks(':')
 
 
 class TestKeyStrings(TestCase):

From c99d3794235274663a13f2a2c6197045b417acd0 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 10:40:11 +0100
Subject: [PATCH 206/899] add _ in front of to_key and to_keys + update doc of
 these two functions

---
 larray/tests/test_la.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 551311c37..e15ad8c42 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -11,7 +11,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
                     clip, exp, where, x, mean, isnan, round)
-from larray.core import _to_ticks, to_key, _srange, df_aslarray
+from larray.core import _to_ticks, _to_key, _srange, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -91,14 +91,14 @@ def test_range(self):
 
 class TestKeyStrings(TestCase):
     def test_nonstring(self):
-        self.assertEqual(to_key(('H', 'F')), ['H', 'F'])
-        self.assertEqual(to_key(['H', 'F']), ['H', 'F'])
+        self.assertEqual(_to_key(('H', 'F')), ['H', 'F'])
+        self.assertEqual(_to_key(['H', 'F']), ['H', 'F'])
 
     def test_split(self):
-        self.assertEqual(to_key('H,F'), ['H', 'F'])
-        self.assertEqual(to_key('H, F'), ['H', 'F'])
-        self.assertEqual(to_key('H,'), ['H'])
-        self.assertEqual(to_key('H'), 'H')
+        self.assertEqual(_to_key('H,F'), ['H', 'F'])
+        self.assertEqual(_to_key('H, F'), ['H', 'F'])
+        self.assertEqual(_to_key('H,'), ['H'])
+        self.assertEqual(_to_key('H'), 'H')
 
     def test_slice_strings(self):
         # XXX: we might want to return real int instead, because if we ever
@@ -106,10 +106,10 @@ def test_slice_strings(self):
         # arr.filter(age > 10 and age < 20)
         # this would break for string values (because '10' < '2')
         # XXX: these two examples return different things, do we want that?
-        self.assertEqual(to_key('0:115'), slice('0', '115'))
-        self.assertEqual(to_key(':115'), slice('115'))
-        self.assertEqual(to_key('10:'), slice('10', None))
-        self.assertEqual(to_key(':'), slice(None))
+        self.assertEqual(_to_key('0:115'), slice('0', '115'))
+        self.assertEqual(_to_key(':115'), slice('115'))
+        self.assertEqual(_to_key('10:'), slice('10', None))
+        self.assertEqual(_to_key(':'), slice(None))
 
 
 class TestAxis(TestCase):

From 7b29b7df683f0b7503fd24e2fc3211e61279dbc7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 11:54:33 +0100
Subject: [PATCH 207/899] Update doc of functions union and larray_equal
 (including examples).

---
 larray/core.py | 70 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 67 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index c560c392c..48c0ef4c0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -328,8 +328,12 @@ def _to_ticks(s):
     s : iterable
         List of values usable as the collection of labels for an Axis.
 
-    Notes:
-    ------
+    Returns
+    -------
+    result : collection of labels
+
+    Notes
+    -----
     This function is only used in Axis.__init__ and union().
 
     Examples:
@@ -429,6 +433,21 @@ def to_keys(value):
     converts a (collection of) group(s) to a structure usable for indexing.
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
 
+    Parameters
+    ----------
+    value : int or basestring or tuple or list or slice or LArray or Group
+        (collection of) value(s) to convert into key(s) usable for indexing
+
+    Returns
+    -------
+    result : list of keys
+
+    See Also
+    --------
+    _to_key
+
+    Examples
+    --------
     It is only used for .sum(axis=xxx)
     >>> to_keys('P01,P02')  # <-- one group => collapse dimension
     ['P01', 'P02']
@@ -466,7 +485,22 @@ def to_keys(value):
 def union(*args):
     # TODO: add support for LGroup and lists
     """
-    returns the union of several "value strings" as a list
+    returns the union of several "value strings" as a list.
+
+    Parameters
+    ----------
+    *args
+        (collection of) values to be converted into keys.
+        Repeated values into taken into account once.
+
+    Returns
+    -------
+    result : list of keys
+
+    Examples
+    --------
+    >>> union('a', 'a,b,c,d', ['d','e','f'], ':2')
+    ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
     if args:
         return list(unique(chain(*(_to_ticks(arg) for arg in args))))
@@ -475,6 +509,36 @@ def union(*args):
 
 
 def larray_equal(first, other):
+    """
+    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+
+    Parameters
+    ----------
+    first, other : LArray
+        input arrays.
+
+    Returns
+    -------
+    b : bool
+        Returns True if the arrays are equal.
+
+    Examples
+    --------
+    >>> age = Axis('age',range(0,100,10))
+    >>> sex = Axis('sex',['M','W'])
+    >>> a = ndrange([age,sex])
+    >>> b = a.copy()
+    >>> larray_equal(a,b)
+    True
+    >>> b.
+    >>> b['W'] += 1
+    >>> larray_equal(a,b)
+    False
+    >>> c = a.copy()
+    >>> c = c.set_labels(x.sex, ['Men','Women'])
+    >>> larray_equal(a,c)
+    False
+    """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
         return False
     return (first.axes == other.axes and

From 3f3518c850751036381d415bfa13aaf590c2f6b8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 14:23:17 +0100
Subject: [PATCH 208/899] Add _ in front of + Update doc of functions
 isnoneslice and  seq_summary.

---
 larray/core.py | 44 +++++++++++++++++++++++++++-----------------
 1 file changed, 27 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 48c0ef4c0..dd96ed9f8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -510,7 +510,7 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+    compares two LArrays and returns True if they have the same axes and elements, False otherwise.
 
     Parameters
     ----------
@@ -530,13 +530,11 @@ def larray_equal(first, other):
     >>> b = a.copy()
     >>> larray_equal(a,b)
     True
-    >>> b.
     >>> b['W'] += 1
     >>> larray_equal(a,b)
     False
-    >>> c = a.copy()
-    >>> c = c.set_labels(x.sex, ['Men','Women'])
-    >>> larray_equal(a,c)
+    >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
+    >>> larray_equal(a,b)
     False
     """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
@@ -545,10 +543,21 @@ def larray_equal(first, other):
             np.array_equal(np.asarray(first), np.asarray(other)))
 
 
-def isnoneslice(v):
+def _isnoneslice(v):
+    """
+    checks if input is slice(None) object.
+    """
     return isinstance(v, slice) and v == slice(None)
 
-def seq_summary(seq, num=3, func=repr):
+def _seq_summary(seq, num=3, func=repr):
+    """
+    returns a string representing a sequence by showing only the n first and last elements.
+
+    Examples
+    --------
+    >>> _seq_summary(range(10),2)
+    '0 1 ... 8 9'
+    """
     def shorten(l):
         return l if len(l) <= 2 * num else l[:num] + ['...'] + list(l[-num:])
 
@@ -556,6 +565,7 @@ def shorten(l):
 
 
 class PGroupMaker(object):
+    
     def __init__(self, axis):
         assert isinstance(axis, Axis)
         self.axis = axis
@@ -910,7 +920,7 @@ def repr_on_strings(v):
                 return repr(v)
             else:
                 return str(v)
-        return seq_summary(self.labels, func=repr_on_strings)
+        return _seq_summary(self.labels, func=repr_on_strings)
 
     # method factory
     def _binop(opname):
@@ -1138,7 +1148,7 @@ def __str__(self):
         if isinstance(key, slice):
             str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
-            str_key = '[%s]' % seq_summary(key, 1)
+            str_key = '[%s]' % _seq_summary(key, 1)
         else:
             str_key = repr(key)
 
@@ -2701,7 +2711,7 @@ def _translated_key(self, key, bool_stuff=False):
             # or (most) slice(None) because except for a single slice(None)
             # a[:], I don't think there is any point.
             key = [axis_key for axis_key in key
-                   if not isnoneslice(axis_key) and axis_key is not Ellipsis]
+                   if not _isnoneslice(axis_key) and axis_key is not Ellipsis]
 
             # translate all keys to PGroup
             key = [self._translate_axis_key(axis_key,
@@ -2929,11 +2939,11 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         AxisCollection
         """
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
-                         if not isnoneslice(axis_key) and
-                            not np.isscalar(axis_key)]
+                         if not _isnoneslice(axis_key) and
+                         not np.isscalar(axis_key)]
         # scalar axes are not taken, since we want to kill them
         other_axes = [axis for axis_key, axis in zip(key, self.axes)
-                      if isnoneslice(axis_key)]
+                      if _isnoneslice(axis_key)]
         assert len(key) > 0
         axes_indices = [self.axes.index(axis) for axis in combined_axes]
         diff = np.diff(axes_indices)
@@ -2956,8 +2966,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         if combined_axis_pos is not None:
             if wildcard_allowed:
                 lengths = [len(axis_key) for axis_key in key
-                           if not isnoneslice(axis_key) and
-                              not np.isscalar(axis_key)]
+                           if not _isnoneslice(axis_key) and
+                           not np.isscalar(axis_key)]
                 combined_axis_len = lengths[0]
                 assert all(l == combined_axis_len for l in lengths)
                 combined_axis = Axis(combined_name, combined_axis_len)
@@ -2970,8 +2980,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                 #    separate axes. On the numpy backend we cannot.
                 axes_labels = [axis.labels[axis_key]
                                for axis_key, axis in zip(key, self.axes)
-                               if not isnoneslice(axis_key) and
-                                  not np.isscalar(axis_key)]
+                               if not _isnoneslice(axis_key) and
+                               not np.isscalar(axis_key)]
                 if len(combined_axes) == 1:
                     # Q: if axis is a wildcard axis, should the result be a
                     #    wildcard axis (and axes_labels discarded?)

From 305d25a8664a74f13312165de6226ac4a1fc1866 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Nov 2016 17:21:31 +0100
Subject: [PATCH 209/899] Write documentation of PGroupMaker class + start
 documentation of Axis class

---
 larray/core.py | 99 ++++++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 87 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index dd96ed9f8..436b4f840 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -525,7 +525,7 @@ def larray_equal(first, other):
     Examples
     --------
     >>> age = Axis('age',range(0,100,10))
-    >>> sex = Axis('sex',['M','W'])
+    >>> sex = Axis('sex',['M','F'])
     >>> a = ndrange([age,sex])
     >>> b = a.copy()
     >>> larray_equal(a,b)
@@ -565,7 +565,18 @@ def shorten(l):
 
 
 class PGroupMaker(object):
-    
+    """
+    Generates a new instance of PGroup for a given axis and key.
+
+    Attributes
+    ----------
+    axis : Axis
+        an axis.
+
+    Notes:
+    ------
+    This class is used by the method `Axis.i`
+    """
     def __init__(self, axis):
         assert isinstance(axis, Axis)
         self.axis = axis
@@ -575,13 +586,41 @@ def __getitem__(self, key):
 
 
 class Axis(object):
+    """
+    represents an axis. It consists of a name and a list of labels.
+
+    Parameters
+    ----------
+    name : string or Axis
+        name of the axis or another instance of Axis.
+        In the second case, the name of the other axis is simply copied.
+    labels : array-like or int
+        collection of values usable as labels, i.e. scalars or strings or the size of the axis.
+        In the last case, the labels are given by the auto-generated list [0,1,...,size-1]
+
+    Attributes
+    ----------
+    name : string
+        name of the axis.
+    labels : array-like or int
+        collection of values usable as labels, i.e. scalars or strings
+
+    Examples
+    --------
+    >>> age = Axis('age',10)
+    >>> age
+    Axis('age', 10)
+    >>> age.name
+    'age'
+    >>> age.labels
+    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+    >>> sex = Axis('sex',['M','F'])
+    >>> sex
+    Axis('sex', ['M', 'F'])
+    """
     # ticks instead of labels?
     # XXX: make name and labels optional?
     def __init__(self, name, labels):
-        """
-        labels should be an array-like (convertible to an ndarray)
-        or a int (the size of the Axis)
-        """
         if isinstance(name, Axis):
             name = name.name
         # make sure we do not have np.str_ as it causes problems down the
@@ -600,6 +639,7 @@ def __init__(self, name, labels):
 
     @property
     def _mapping(self):
+        # to map labels with their positions
         mapping = self.__mapping
         if mapping is None:
             labels = self._labels
@@ -639,6 +679,10 @@ def _sorted_keys(self):
 
     @property
     def _sorted_values(self):
+        # TODO: simplify this method
+        # if self.__sorted_values is None:
+        #   self._update_key_values()
+        # return self.__sorted_values
         values = self.__sorted_values
         if values is None:
             _, values = self._update_key_values()
@@ -661,14 +705,14 @@ def labels(self, labels):
             labels = np.arange(length)
             iswildcard = True
         else:
-            # TODO: move this to to_ticks????
+            # TODO: move this to _to_ticks????
             # we convert to an ndarray to save memory for scalar ticks (for
             # LGroup ticks, it does not make a difference since a list of VG
             # and an ndarray of VG are both arrays of pointers)
             ticks = _to_ticks(labels)
-            object_array = isinstance(ticks, np.ndarray) and \
-                           ticks.dtype.type == np.object_
-            can_have_groups = object_array or isinstance(ticks, (tuple, list))
+            is_object_array = isinstance(ticks, np.ndarray) and \
+                              ticks.dtype.type == np.object_
+            can_have_groups = is_object_array or isinstance(ticks, (tuple, list))
             if can_have_groups and any(
                     isinstance(tick, LGroup) for tick in ticks):
                 # avoid getting a 2d array if all LGroup have the same length
@@ -690,8 +734,27 @@ def iswildcard(self):
     # XXX: not sure I should offer an *args version
     def group(self, *args, **kwargs):
         """
+        returns a group (list or unique element) of label(s) usable in .sum or .filter
+
+        Parameters
+        ----------
+        *args
+            (collection of) selected label(s) to form a group.
+        **kwargs
+            name of the group. There is no other accepted keywords.
+
+        Returns
+        -------
+        result : LGroup
+            group containing selected label(s).
+
+        Notes
+        -----
         key is label-based (slice and fancy indexing are supported)
-        returns a LGroup usable in .sum or .filter
+
+        See Also
+        --------
+        LGroup
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -704,11 +767,23 @@ def group(self, *args, **kwargs):
         return LGroup(key, name, self)
 
     def all(self, name=None):
+        """
+        returns a group containing all labels.
+
+        Parameters
+        ----------
+        name : string, optional
+            name of the group. If not provided, name is set to 'all'.
+
+        See Also
+        --------
+        Axis.group
+        """
         return self.group(slice(None), name=name if name is not None else "all")
 
     def subaxis(self, key, name=None):
         """
-        returns an Axis for a sub-array
+        returns an axis for a sub-array
         key is index-based (slice and fancy indexing are supported)
 
         if key is a None slice and name is None, returns the original Axis

From d999b762d4267ba9c09733dc60729f3bb1eedf5c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Nov 2016 16:11:58 +0100
Subject: [PATCH 210/899] update documentation of Axis class.

---
 larray/core.py | 226 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 197 insertions(+), 29 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 436b4f840..950be2772 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -130,7 +130,7 @@ def _srange(*args):
 
     Returns
     -------
-    srange : list of str
+    list of str
         Array of evenly spaced values.
 
     Examples
@@ -143,6 +143,9 @@ def _srange(*args):
     ['1', '3', '5', '7']
     """
     return list(map(str, range(*args)))
+    # AD -- return (str(e) for e in range(*args))
+
+
 
 
 def _range_to_slice(seq, length=None):
@@ -160,7 +163,7 @@ def _range_to_slice(seq, length=None):
 
     Returns
     -------
-    result : slice or sequence-like
+    slice or sequence-like
         return the input sequence if a slice cannot be defined
 
     Examples
@@ -243,9 +246,9 @@ def _slice_str_to_range(s):
     s : str
         Sting representing a slice
 
-    Returns:
-    --------
-    result : list of str
+    Returns
+    -------
+    list of str
         Array of evenly spaced values.
 
     Examples:
@@ -279,9 +282,9 @@ def _to_string(v):
         (group of) tick(s).
         slice objects are converted in string using `_slice_to_str` function.
 
-    Returns:
-    --------
-    result : str
+    Returns
+    -------
+    str
         string representing a (group of) tick(s)
     """
     if isinstance(v, slice):
@@ -330,7 +333,7 @@ def _to_ticks(s):
 
     Returns
     -------
-    result : collection of labels
+    collection of labels
 
     Notes
     -----
@@ -380,8 +383,18 @@ def to_key(v):
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
 
-    Notes:
-    ------
+    Parameters
+    ----------
+    v : int or basestring or tuple or list or slice or LArray or Group
+        value to convert into a key usable for indexing
+
+    Returns
+    -------
+    key
+        a key represents any object that can be used for indexing
+
+    Notes
+    -----
     "int strings" are not converted to int.
 
     Examples:
@@ -440,7 +453,7 @@ def to_keys(value):
 
     Returns
     -------
-    result : list of keys
+    list of keys
 
     See Also
     --------
@@ -490,12 +503,12 @@ def union(*args):
     Parameters
     ----------
     *args
-        (collection of) values to be converted into keys.
-        Repeated values into taken into account once.
+        (collection of) value(s) to be converted into label(s).
+        Repeated values are taken only once.
 
     Returns
     -------
-    result : list of keys
+    list of labels
 
     Examples
     --------
@@ -519,7 +532,7 @@ def larray_equal(first, other):
 
     Returns
     -------
-    b : bool
+    bool
         Returns True if the arrays are equal.
 
     Examples
@@ -596,7 +609,7 @@ class Axis(object):
         In the second case, the name of the other axis is simply copied.
     labels : array-like or int
         collection of values usable as labels, i.e. scalars or strings or the size of the axis.
-        In the last case, the labels are given by the auto-generated list [0,1,...,size-1]
+        In the last case, a wildcard axis is created.
 
     Attributes
     ----------
@@ -680,9 +693,9 @@ def _sorted_keys(self):
     @property
     def _sorted_values(self):
         # TODO: simplify this method
-        # if self.__sorted_values is None:
-        #   self._update_key_values()
-        # return self.__sorted_values
+        # AD -- if self.__sorted_values is None:
+        #          self._update_key_values()
+        #       return self.__sorted_values
         values = self.__sorted_values
         if values is None:
             _, values = self._update_key_values()
@@ -732,6 +745,7 @@ def iswildcard(self):
         return self._iswildcard
 
     # XXX: not sure I should offer an *args version
+    # AD -- def group(key, name=None):
     def group(self, *args, **kwargs):
         """
         returns a group (list or unique element) of label(s) usable in .sum or .filter
@@ -745,7 +759,7 @@ def group(self, *args, **kwargs):
 
         Returns
         -------
-        result : LGroup
+        LGroup
             group containing selected label(s).
 
         Notes
@@ -755,6 +769,12 @@ def group(self, *args, **kwargs):
         See Also
         --------
         LGroup
+
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.group(10,18,name='teenagers')
+        LGroup([10, 18], name='teenagers', axis=Axis('age', 100))
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -784,9 +804,32 @@ def all(self, name=None):
     def subaxis(self, key, name=None):
         """
         returns an axis for a sub-array
+
+        Parameters
+        ----------
+        key : key
+            input key can be a LArray or a (collection of) label(s).
+
+        name : string, optional
+            name of the subaxis.
+            If input name is None, the name of the subaxis is the same as parent axis.
+
+        Returns
+        -------
+        Axis
+            subaxis.
+            If key is a None slice and name is None, the original Axis is returned.
+            If key is a LArray, the list of axes is returned.
+
+        Notes
+        -----
         key is index-based (slice and fancy indexing are supported)
 
-        if key is a None slice and name is None, returns the original Axis
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.subaxis(range(10,18),name='teenagers')
+        Axis('teenagers', 8)
         """
         if (name is None and isinstance(key, slice) and
                 key.start is None and key.stop is None and key.step is None):
@@ -803,6 +846,26 @@ def subaxis(self, key, name=None):
         return Axis(name, labels)
 
     def iscompatible(self, other):
+        """
+        checks if current axis is compatible with another.
+        Two axes are compatible is they have the same name and length.
+
+        Parameters
+        ----------
+        other : Axis
+            axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is compatible with current axis, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis('age',100)
+        >>> age.iscompatible(age.rename('age_bis'))
+        False
+        """
         if self is other:
             return True
         if not isinstance(other, Axis):
@@ -818,6 +881,23 @@ def iscompatible(self, other):
             return np.array_equal(self.labels, other.labels)
 
     def equals(self, other):
+        """
+        checks if current axis is equal to another.
+        Two axes are equal if the have the same name and label(s)
+
+        Parameters
+        ----------
+        other : Axis
+            axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is equal to the current axis, False otherwise.
+
+        Examples
+        --------
+        """
         if self is other:
             return True
 
@@ -830,17 +910,50 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        returns a LGroup with all the labels matching (regex) the specified pattern
+        returns a group with all the labels matching (regex) the specified pattern
+
+        Parameters
+        ----------
+        pattern : string
+            regular expression (regex).
+
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
 
-        xm.axes.sutcode.matches('^..$') = labels 2 characters long
+        Notes
+        -----
+        See `Regular Expression <https://en.wikipedia.org/wiki/Regular_expression#Examples>`_
+        for more details about how to build a pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.matches('^W.*o$')
+        LGroup(['Waldo'])
         """
         return LGroup(self._axisregex(pattern))
 
     def startswith(self, pattern):
         """
-        returns a LGroup with the labels starting with the specified string
+        returns a group with the labels starting with the specified string
+
+        Parameters
+        ----------
+        pattern : string
+            pattern describing the first part of labels you want to get.
 
-        xm.axes.sutcode.startswith('25A')
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('Wa')
+        LGroup(['Waldo'])
         """
         res = self._axisregex('^%s.*' % pattern)
         return LGroup(res)
@@ -849,7 +962,21 @@ def endswith(self, pattern):
         """
         returns a LGroup with the labels ending with the specified string
 
-        xm.axes.sutcode.endswith('01')
+        Parameters
+        ----------
+        pattern : string
+            pattern describing the first part of labels you want to get.
+
+        Returns
+        -------
+        LGroup
+            group containing all label(s) matching the pattern.
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('do')
+        LGroup(['Waldo'])
         """
         res = self._axisregex('.*%s$' % pattern)
         return LGroup(res)
@@ -891,8 +1018,31 @@ def _is_key_type_compatible(self, key):
 
     def translate(self, key, bool_passthrough=True):
         """
-        translates a label key to its numerical index counterpart
+        translates a label key to its numerical index counterpart.
+
+        Parameters
+        ----------
+        key : key
+            Everything usable as a key.
+        bool_passthrough : bool, optional
+            If set to True and key is a boolean vector, it is returned as it.
+
+        Results
+        -------
+        result: (array of) int
+            Numerical index(ices) of (all) label(s) represented by the key
+
+        Notes
+        -----
         fancy index with boolean vectors are passed through unmodified
+
+        Examples
+        --------
+        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.translate('Waldo')
+        3
+        >>> people.translate(people.matches('Bruce'))
+        array([1, 2])
         """
         mapping = self._mapping
 
@@ -990,6 +1140,14 @@ def __repr__(self):
         return 'Axis(%r, %r)' % (self.name, labels)
 
     def labels_summary(self):
+        """
+        returns a short representation of the labels.
+
+        Examples:
+        ---------
+        >>> Axis('age',100).labels_summary()
+        '0 1 2 ... 97 98 99'
+        """
         def repr_on_strings(v):
             if isinstance(v, str):
                 return repr(v)
@@ -999,6 +1157,10 @@ def repr_on_strings(v):
 
     # method factory
     def _binop(opname):
+        """
+        wrapper method that transforms current and other axis into LArray and
+        then applies binary operators of LArray.
+        """
         fullname = '__%s__' % opname
 
         def opmethod(self, other):
@@ -1053,9 +1215,15 @@ def opmethod(self, other):
     __matmul__ = _binop('matmul')
 
     def __larray__(self):
+        """
+        returns current axis as LArray.
+        """
         return labels_array(self)
 
     def copy(self):
+        """
+        creates a copy of the current axis.
+        """
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.
         # There should at least be an option.
@@ -1073,7 +1241,7 @@ def rename(self, name):
 
         Parameters
         ----------
-        newname : str
+        name : str
             the new name for the axis.
 
         Returns

From 24934e1ca38f86145d5fd0f33c558227e5bd630c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Nov 2016 16:58:42 +0100
Subject: [PATCH 211/899] update documentation of Group, LGroup and PGroup
 classes.

---
 larray/core.py | 62 +++++++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 56 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 950be2772..6091bd4e4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1272,6 +1272,28 @@ def _rename(self, name):
 # ticks/labels of the LGroup need to correspond to its *Axis*
 # indices
 class Group(object):
+    """Generic Group.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : string, optional
+        name of the group.
+    axis : int, str, Axis, optional
+        axis for group.
+
+    Attributes
+    ----------
+    key : key
+        Anything usable for indexing.
+    name : string
+        name of the group
+    axis : Axis
+        axis of the group.
+
+    """
     def __init__(self, key, name=None, axis=None):
         if isinstance(key, tuple):
             key = list(key)
@@ -1353,10 +1375,20 @@ def with_axis(self, axis):
 # TODO: factorize as much as possible between LGroup & PGroup (move stuff to
 #       Group)
 class LGroup(Group):
-    """
-    key should be either a sequence of labels, a slice with label bounds
-    or a string
-    axis can be an int, str or Axis
+    """Label group.
+
+    Represents a subset of labels of an axis.
+
+    See Also
+    --------
+    Group
+
+    Examples
+    --------
+    >>> age = Axis('age', range(100))
+    >>> teens = x.age[10:19].named('teens')
+    >>> teens
+    LGroup(slice(10, 19, None), name='teens', axis=AxisReference('age'))
     """
     # this makes range(LGroup(int)) possible
     def __index__(self):
@@ -1449,13 +1481,31 @@ def opmethod(self, other):
 
 
 class PGroup(Group):
-    """
-    Positional Group
+    """Positional Group.
+
+    Represents a subset of indices of an axis.
+
+    See Also
+    --------
+    Group
     """
     pass
 
 
 def index_by_id(seq, value):
+    """
+    returns position of a value in a sequence.
+
+    Raises
+    ------
+    ValueError
+        If `value` is not contained in `seq`.
+
+    Examples
+    --------
+    >>> index_by_id(['A','B','C','D','E','F','G','H'], 'D')
+    3
+    """
     for i, item in enumerate(seq):
         if item is value:
             return i

From b69fdf227123b087d02c9f2f7d01d8d9ec95822a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Nov 2016 17:53:10 +0100
Subject: [PATCH 212/899] update documentation of AxisCollection + all doctests

---
 larray/core.py | 811 +++++++++++++++++++++++++++++++++++++------------
 1 file changed, 615 insertions(+), 196 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6091bd4e4..fc7d64067 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -116,7 +116,7 @@
 # TODO: return a generator, not a list
 def _srange(*args):
     """
-    Return evenly spaced values within a given interval as list of strings
+    Returns evenly spaced values within a given interval as list of strings
 
     Parameters
     ----------
@@ -150,7 +150,7 @@ def _srange(*args):
 
 def _range_to_slice(seq, length=None):
     """
-    returns a slice if possible (including for sequences of 1 element)
+    Returns a slice if possible (including for sequences of 1 element)
     otherwise returns the input sequence itself
 
     Parameters
@@ -213,7 +213,7 @@ def _range_to_slice(seq, length=None):
 
 def _slice_to_str(key, use_repr=False):
     """
-    converts a slice to a string
+    Converts a slice to a string
 
     Examples:
     ---------
@@ -238,7 +238,7 @@ def _slice_to_str(key, use_repr=False):
 
 def _slice_str_to_range(s):
     """
-    converts a slice string to a list of (string) values.
+    Converts a slice string to a list of (string) values.
     The end point is included.
 
     Parameters:
@@ -274,7 +274,7 @@ def _slice_str_to_range(s):
 
 def _to_string(v):
     """
-    converts a (group of) tick(s) to a string
+    Converts a (group of) tick(s) to a string
 
     Parameters:
     -----------
@@ -300,7 +300,7 @@ def _to_string(v):
 
 def _to_tick(e):
     """
-    make it hashable, and acceptable as an ndarray element
+    Makes it hashable, and acceptable as an ndarray element
     scalar & VG -> not modified
     slice -> 'start:stop'
     list|tuple -> 'v1,v2,v3'
@@ -443,7 +443,7 @@ def to_key(v):
 
 def to_keys(value):
     """
-    converts a (collection of) group(s) to a structure usable for indexing.
+    Converts a (collection of) group(s) to a structure usable for indexing.
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
 
     Parameters
@@ -498,7 +498,7 @@ def to_keys(value):
 def union(*args):
     # TODO: add support for LGroup and lists
     """
-    returns the union of several "value strings" as a list.
+    Returns the union of several "value strings" as a list.
 
     Parameters
     ----------
@@ -523,7 +523,7 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
 
     Parameters
     ----------
@@ -543,7 +543,7 @@ def larray_equal(first, other):
     >>> b = a.copy()
     >>> larray_equal(a,b)
     True
-    >>> b['W'] += 1
+    >>> b['F'] += 1
     >>> larray_equal(a,b)
     False
     >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
@@ -558,13 +558,13 @@ def larray_equal(first, other):
 
 def _isnoneslice(v):
     """
-    checks if input is slice(None) object.
+    Checks if input is slice(None) object.
     """
     return isinstance(v, slice) and v == slice(None)
 
 def _seq_summary(seq, num=3, func=repr):
     """
-    returns a string representing a sequence by showing only the n first and last elements.
+    Returns a string representing a sequence by showing only the n first and last elements.
 
     Examples
     --------
@@ -600,7 +600,7 @@ def __getitem__(self, key):
 
 class Axis(object):
     """
-    represents an axis. It consists of a name and a list of labels.
+    Represents an axis. It consists of a name and a list of labels.
 
     Parameters
     ----------
@@ -652,7 +652,7 @@ def __init__(self, name, labels):
 
     @property
     def _mapping(self):
-        # to map labels with their positions
+        # To map labels with their positions
         mapping = self.__mapping
         if mapping is None:
             labels = self._labels
@@ -703,10 +703,30 @@ def _sorted_values(self):
 
     @property
     def i(self):
+        """
+        Allows to define a subset using positions of labels.
+
+        Examples
+        --------
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time', ['2007','2008','2009','2010'])
+        >>> arr = ndrange([sex,time])
+        >>> arr
+        sex\\time | 2007 | 2008 | 2009 | 2010
+               M |    0 |    1 |    2 |    3
+               F |    4 |    5 |    6 |    7
+        >>> arr[time.i[0,-1]]
+        sex\\time | 2007 | 2010
+               M |    0 |    3
+               F |    4 |    7
+        """
         return PGroupMaker(self)
 
     @property
     def labels(self):
+        """
+        List of labels.
+        """
         return self._labels
 
     @labels.setter
@@ -748,7 +768,7 @@ def iswildcard(self):
     # AD -- def group(key, name=None):
     def group(self, *args, **kwargs):
         """
-        returns a group (list or unique element) of label(s) usable in .sum or .filter
+        Returns a group (list or unique element) of label(s) usable in .sum or .filter
 
         Parameters
         ----------
@@ -788,7 +808,7 @@ def group(self, *args, **kwargs):
 
     def all(self, name=None):
         """
-        returns a group containing all labels.
+        Returns a group containing all labels.
 
         Parameters
         ----------
@@ -803,13 +823,12 @@ def all(self, name=None):
 
     def subaxis(self, key, name=None):
         """
-        returns an axis for a sub-array
+        Returns an axis for a sub-array.
 
         Parameters
         ----------
         key : key
             input key can be a LArray or a (collection of) label(s).
-
         name : string, optional
             name of the subaxis.
             If input name is None, the name of the subaxis is the same as parent axis.
@@ -847,7 +866,7 @@ def subaxis(self, key, name=None):
 
     def iscompatible(self, other):
         """
-        checks if current axis is compatible with another.
+        Checks if current axis is compatible with another.
         Two axes are compatible is they have the same name and length.
 
         Parameters
@@ -882,7 +901,7 @@ def iscompatible(self, other):
 
     def equals(self, other):
         """
-        checks if current axis is equal to another.
+        Checks if current axis is equal to another.
         Two axes are equal if the have the same name and label(s)
 
         Parameters
@@ -897,6 +916,16 @@ def equals(self, other):
 
         Examples
         --------
+        >>> age = Axis('age',range(5))
+        >>> age_2 = Axis('age',5)
+        >>> age_3 = Axis('young children', range(5))
+        >>> age_4 = Axis('age',[0,1,2,3,4])
+        >>> age.equals(age_2)
+        False
+        >>> age.equals(age_3)
+        False
+        >>> age.equals(age_4)
+        True
         """
         if self is other:
             return True
@@ -910,7 +939,7 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        returns a group with all the labels matching (regex) the specified pattern
+        Returns a group with all the labels matching (regex) the specified pattern
 
         Parameters
         ----------
@@ -929,15 +958,17 @@ def matches(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.matches('^W.*o$')
         LGroup(['Waldo'])
+        >>> people.matches('^[^a]*$')
+        LGroup(['Bruce Willis', 'Arthur Dent'])
         """
         return LGroup(self._axisregex(pattern))
 
     def startswith(self, pattern):
         """
-        returns a group with the labels starting with the specified string
+        Returns a group with the labels starting with the specified string
 
         Parameters
         ----------
@@ -951,16 +982,16 @@ def startswith(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('Wa')
-        LGroup(['Waldo'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('[^B]')
+        LGroup(['Waldo', 'Arthur Dent', 'Harvey Dent'])
         """
         res = self._axisregex('^%s.*' % pattern)
         return LGroup(res)
 
     def endswith(self, pattern):
         """
-        returns a LGroup with the labels ending with the specified string
+        Returns a LGroup with the labels ending with the specified string
 
         Parameters
         ----------
@@ -974,9 +1005,9 @@ def endswith(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('do')
-        LGroup(['Waldo'])
+        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.endswith('[o-z]')
+        LGroup(['Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         """
         res = self._axisregex('.*%s$' % pattern)
         return LGroup(res)
@@ -1018,7 +1049,7 @@ def _is_key_type_compatible(self, key):
 
     def translate(self, key, bool_passthrough=True):
         """
-        translates a label key to its numerical index counterpart.
+        Translates a label key to its numerical index counterpart.
 
         Parameters
         ----------
@@ -1027,9 +1058,9 @@ def translate(self, key, bool_passthrough=True):
         bool_passthrough : bool, optional
             If set to True and key is a boolean vector, it is returned as it.
 
-        Results
+        Returns
         -------
-        result: (array of) int
+        (array of) int
             Numerical index(ices) of (all) label(s) represented by the key
 
         Notes
@@ -1038,7 +1069,7 @@ def translate(self, key, bool_passthrough=True):
 
         Examples
         --------
-        >>> people = Axis('people', ['Jhon Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis('people', ['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.translate('Waldo')
         3
         >>> people.translate(people.matches('Bruce'))
@@ -1141,10 +1172,10 @@ def __repr__(self):
 
     def labels_summary(self):
         """
-        returns a short representation of the labels.
+        Returns a short representation of the labels.
 
-        Examples:
-        ---------
+        Examples
+        --------
         >>> Axis('age',100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
@@ -1158,7 +1189,7 @@ def repr_on_strings(v):
     # method factory
     def _binop(opname):
         """
-        wrapper method that transforms current and other axis into LArray and
+        Wrapper method that transforms current and other axis into LArray and
         then applies binary operators of LArray.
         """
         fullname = '__%s__' % opname
@@ -1216,13 +1247,13 @@ def opmethod(self, other):
 
     def __larray__(self):
         """
-        returns current axis as LArray.
+        Returns current axis as LArray.
         """
         return labels_array(self)
 
     def copy(self):
         """
-        creates a copy of the current axis.
+        Returns a copy of the current axis.
         """
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.
@@ -1237,7 +1268,8 @@ def copy(self):
 
     # XXX: rename to named like Group?
     def rename(self, name):
-        """Renames the axis.
+        """
+        Renames the axis.
 
         Parameters
         ----------
@@ -1249,8 +1281,8 @@ def rename(self, name):
         Axis
             a new Axis with the same labels but a different name.
 
-        Example
-        -------
+        Examples
+        --------
         >>> sex = Axis('sex', ['M', 'F'])
         >>> sex
         Axis('sex', ['M', 'F'])
@@ -1494,7 +1526,7 @@ class PGroup(Group):
 
 def index_by_id(seq, value):
     """
-    returns position of a value in a sequence.
+    Returns position of a value in a sequence.
 
     Raises
     ------
@@ -1516,10 +1548,40 @@ def index_by_id(seq, value):
 # not using namedtuple because we have to know the fields in advance (it is a
 # one-off class) and we need more functionality than just a named tuple
 class AxisCollection(object):
+    """
+    Represents a collection of axes.
+
+    Parameters:
+    -----------
+    axes : sequence of Axis or int or tuple or string objects, optional
+        an axis can be given as an Axis object, an int or a tuple (name,labels) or
+        a string of the kind 'name=label_1,label_2,label_3'.
+
+    Raises
+    ------
+    ValueError
+        Cannot have multiple occurrences of the same axis object in a collection.
+
+    Notes
+    -----
+    Multiple occurrences of the same axis is not allowed.
+    However, several axes with the same name but different labels are allowed
+    but it is not recommended.
+
+    Examples
+    --------
+    >>> age = Axis('age',range(20))
+    >>> sex = Axis('sex',['M','F'])
+    >>> AxisCollection([3,age,sex,('city',['London','Paris','Rome']),'time=2007,2008,2009,2010'])
+    AxisCollection([
+        Axis(None, 3),
+        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+        Axis('sex', ['M', 'F']),
+        Axis('city', ['London', 'Paris', 'Rome']),
+        Axis('time', ['2007', '2008', '2009', '2010'])
+    ])
+    """
     def __init__(self, axes=None):
-        """
-        :param axes: sequence of Axis (or int) objects
-        """
         if axes is None:
             axes = []
         elif isinstance(axes, (int, long, Axis)):
@@ -1543,6 +1605,7 @@ def make_axis(obj):
 
         axes = [make_axis(axis) for axis in axes]
         assert all(isinstance(a, Axis) for a in axes)
+        # check for duplicate axes
         dupe_axes = list(duplicates(axes))
         if dupe_axes:
             axis = dupe_axes[0]
@@ -1611,17 +1674,29 @@ def __getitem__(self, key):
     # make_numpy_broadcastable or made non default
     def get_by_pos(self, key, i):
         """
-        returns axis corresponding to key, or to i if key has no name and
-        key object not found
+        Returns axis corresponding to a key, or to position i if the key
+        has no name and key object not found.
 
         Parameters
         ----------
-        key
-        i
+        key : key
+            key corresponding to an axis.
+        i : int
+            position of the axis (used only if search by key failed).
 
         Returns
         -------
+        Axis
+            axis corresponding to the key or the position i.
 
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.get_by_pos('sex',1)
+        Axis('sex', ['M', 'F'])
         """
         if isinstance(key, Axis) and key.name is None:
             try:
@@ -1703,7 +1778,7 @@ def __radd__(self, other):
 
     def __and__(self, other):
         """
-        returns the intersection of this collection and other
+        Returns the intersection of this collection and other
         """
         if not isinstance(other, AxisCollection):
             other = AxisCollection(other)
@@ -1719,7 +1794,7 @@ def contains(col, i, axis):
 
     def __eq__(self, other):
         """
-        other collection compares equal if all axes compare equal and in the
+        Other collection compares equal if all axes compare equal and in the
         same order. Works with a list.
         """
         if self is other:
@@ -1749,6 +1824,33 @@ def __contains__(self, key):
         return key in self._map
 
     def isaxis(self, value):
+        """
+        Tests if input is an Axis object or the name of an axis
+        contained in the current AxisCollection instance.
+
+        Parameters
+        ----------
+        value : Axis or string
+            input axis or string
+        Returns
+        -------
+        bool
+            True if input is an Axis object or the name of an axis contained in
+            the current AxisCollection instance, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.isaxis(age)
+        True
+        >>> col.isaxis('time')
+        True
+        >>> col.isaxis('city')
+        False
+        """
         # this is tricky. 0 and 1 can be both axes indices and axes ticks.
         # not sure what's worse:
         # 1) disallow aggregates(axis_num)
@@ -1786,6 +1888,34 @@ def __repr__(self):
         return "AxisCollection([\n    %s\n])" % ',\n    '.join(axes_repr)
 
     def get(self, key, default=None, name=None):
+        """
+        Returns axis corresponding to key. If not found, the argument `name` is
+        used to create a new Axis. If `name` is None, the `default` axis is then returned.
+
+        Parameters
+        ----------
+        key : key
+            key corresponding to an axis of the current AxisCollection.
+        default : axis, optional
+            default axis to return if key doesn't correspond to any axis of the current
+            AxisCollection and argument `name` is None.
+        name : string, optional
+            if key doesn't correspond to any axis of the current AxisCollection,
+            a new Axis with this name is created and returned.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,time])
+        >>> col.get('time')
+        Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col.get('sex',sex)
+        Axis('sex', ['M', 'F'])
+        >>> col.get('nb_children',None,'nb_children')
+        Axis('nb_children', 1)
+        """
         # XXX: use if key in self?
         try:
             return self[key]
@@ -1797,8 +1927,8 @@ def get(self, key, default=None, name=None):
 
     def get_all(self, key):
         """
-        returns all axes from key if present and length 1 wildcard axes
-        otherwise
+        Returns all axes from key if present and length 1 wildcard axes
+        otherwise.
 
         Parameters
         ----------
@@ -1807,6 +1937,26 @@ def get_all(self, key):
         Returns
         -------
         AxisCollection
+
+        Raises
+        ------
+        AssertionError
+            raised if the input key is not an AxisCollection object.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> city = Axis('city',['London','Paris','Rome'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col2 = AxisCollection([age,city,time])
+        >>> col2
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('city', ['London', 'Paris', 'Rome']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         assert isinstance(key, AxisCollection)
         def get_pos_default(k, i):
@@ -1823,21 +1973,88 @@ def get_pos_default(k, i):
                                for i, k in enumerate(key)])
 
     def keys(self):
+        """
+        Returns list of all axis names.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).keys()
+        ['age', 'sex', 'time']
+        """
         # XXX: include id/num for anonymous axes? I think I should
         return [a.name for a in self._list]
 
     def pop(self, axis=-1):
+        """
+        Deletes and returns an axis.
+        If no argument provided, the last axis is deleted and returned.
+
+        Parameters
+        ----------
+        axis : key, optional
+            axis to delete and return (default value is -1).
+
+        Returns
+        -------
+        Axis
+            If no argument is provided, the last axis is deleted and returned.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.pop('age')
+        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+        >>> col
+        AxisCollection([
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
+        >>> col.pop()
+        Axis('time', ['2007', '2008', '2009', '2010'])
+        """
         axis = self[axis]
         del self[axis]
         return axis
 
     def append(self, axis):
         """
-        append axis at the end of the collection
+        Appends axis at the end of the collection.
+
+        Parameters
+        ----------
+        axis : Axis
+            axis to append.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex])
+        >>> col.append(time)
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         self[len(self):len(self)] = [axis]
 
     def check_compatible(self, axes):
+        """
+        Checks if axes are all compatible. Raises a ValueError if not.
+
+        See Also
+        --------
+        Axis.iscompatible
+        """
         for i, axis in enumerate(axes):
             local_axis = self.get_by_pos(axis, i)
             if not local_axis.iscompatible(axis):
@@ -1846,7 +2063,32 @@ def check_compatible(self, axes):
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """
-        extend the collection by appending the axes from axes
+        Extends the collection by appending the axes from axes.
+
+        Parameters
+        ----------
+        axes : sequence of Axis (list, tuple, AxisCollection)
+        validate : bool, optional
+        replace_wildcards : bool, optional
+
+        Raises
+        ------
+        TypeError
+            raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection(age)
+        >>> col.extend([sex,time])
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         # axes should be a sequence
         if not isinstance(axes, (tuple, list, AxisCollection)):
@@ -1882,14 +2124,39 @@ def get_axis(col, i, axis):
 
     def index(self, axis):
         """
-        returns the index of axis.
+        Returns the index of axis.
 
-        axis can be a name or an Axis object (or an index)
-        if the Axis object itself exists in the list, index() will return it
-        otherwise, it will return the index of the local axis with the same
+        `axis` can be a name or an Axis object (or an index).
+        If the Axis object itself exists in the list, index() will return it.
+        Otherwise, it will return the index of the local axis with the same
         name than the key (whether it is compatible or not).
 
-        Raises ValueError if the axis is not present.
+        Parameters
+        ----------
+        axis : Axis or int or string
+            can be the axis itself or its position (returned if represents a valid index)
+            or its name.
+
+        Returns
+        -------
+        int
+            index of the axis.
+
+        Raises
+        ------
+        ValueError
+            raised if the axis is not present.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.index(time)
+        2
+        >>> col.index('sex')
+        1
         """
         if isinstance(axis, int):
             if -len(self) <= axis < len(self):
@@ -1914,14 +2181,65 @@ def index(self, axis):
     # other inplace operations: append, extend, pop, __delitem__, __setitem__)
     def insert(self, index, axis):
         """
-        insert axis before index
+        Inserts axis before index.
+
+        Parameters
+        ----------
+        index : int
+            position of the inserted axis.
+        axis : Axis
+            axis to insert.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,time])
+        >>> col.insert(1,sex)
+        >>> col
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+            Axis('sex', ['M', 'F']),
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
         """
         self[index:index] = [axis]
 
     def copy(self):
+        """
+        Returns a copy.
+        """
         return self[:]
 
     def replace(self, old, new):
+        """
+        Replaces an axis
+
+        Parameters
+        ----------
+        old : Axis
+            axis to be replaced
+        new : Axis
+            axis to be put in place of the `old` axis.
+
+        Returns
+        -------
+        AxisCollection
+            updated AxisCollection.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> age_new = Axis('age',range(10))
+        >>> sex = Axis('sex',['M','F'])
+        >>> col = AxisCollection([age,sex])
+        >>> col.replace(age, age_new)
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
+            Axis('sex', ['M', 'F'])
+        ])
+        """
         res = self[:]
         res[old] = new
         return res
@@ -1929,17 +2247,46 @@ def replace(self, old, new):
     # XXX: kill this method?
     def without(self, axes):
         """
-        returns a new collection without some axes
-        you can use a comma separated list of names
+        Returns a new collection without some axes.
+
+        You can use a comma separated list of names.
+
+        Parameters
+        ----------
+        axes : sequence of Axis or string
+            axes to not include in the returned AxisCollection.
+
+        Returns
+        -------
+        AxisCollection
+            new collection without some axes.
+
+        Notes
+        -----
         set operations so axes can contain axes not present in self
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> col = AxisCollection([age,sex,time])
+        >>> col.without([age,sex])
+        AxisCollection([
+            Axis('time', ['2007', '2008', '2009', '2010'])
+        ])
+        >>> col.without('sex,time')
+        AxisCollection([
+            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+        ])
         """
         return self - axes
 
     def __sub__(self, axes):
         """
-        returns a new collection without some axes
-        you can use a comma separated list of names
-        set operations so axes can contain axes not present in self
+        See Also
+        --------
+        without
         """
         if isinstance(axes, basestring):
             axes = axes.split(',')
@@ -1953,16 +2300,30 @@ def __sub__(self, axes):
 
     def translate_full_key(self, key):
         """
+        Translates a label-based key to a positional key.
+
         Parameters
         ----------
         key : tuple
-            a full label-based key. All dimensions must be present and in
-            the correct order.
+            a full label-based key.
+            All dimensions must be present and in the correct order.
 
         Returns
         -------
         tuple
             a full positional key
+
+        See Also
+        --------
+        Axis.translate
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).translate_full_key([':','F','2009'])
+        (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
         return tuple(axis.translate(axis_key)
@@ -1970,46 +2331,65 @@ def translate_full_key(self, key):
 
     @property
     def labels(self):
-        """Returns the list of labels of the axes"""
+        """
+        Returns the list of labels of the axes.
+
+        Returns
+        -------
+        list
+            list of labels of the axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(10))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).labels
+        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
+              dtype='<U1'), array(['2007', '2008', '2009', '2010'],
+              dtype='<U4')]
+        """
         return [axis.labels for axis in self._list]
 
     @property
     def names(self):
-        """Returns the list of (raw) names of the axes
+        """
+        Returns the list of (raw) names of the axes.
 
         Returns
         -------
-        List
-            List of names of the axes
+        list
+            list of names of the axes.
 
-        Example
-        -------
-        >>> a = Axis('a', ['a1', 'a2'])
-        >>> b = Axis('b', 2)
-        >>> c = Axis(None, ['c1', 'c2'])
-        >>> arr = zeros([a, b, c])
-        >>> arr.axes.names
-        ['a', 'b', None]
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).names
+        ['age', 'sex', 'time']
         """
         return [axis.name for axis in self._list]
 
     @property
     def display_names(self):
-        """Returns the list of (display) names of the axes
+        """
+        Returns the list of (display) names of the axes.
 
         Returns
         -------
-        List
-            List of names of the axes
+        list
+            list of names of the axes.
+            Wildcard axes are displayed with an attached *.
+            Anonymous axes (name = None) are replaced by their position in braces.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', 2)
         >>> c = Axis(None, ['c1', 'c2'])
         >>> d = Axis(None, 3)
-        >>> col = AxisCollection([a, b, c, d])
-        >>> col.display_names
+        >>> AxisCollection([a, b, c, d]).display_names
         ['a', 'b*', '{2}', '{3}*']
         """
         def display_name(i, axis):
@@ -2020,35 +2400,40 @@ def display_name(i, axis):
 
     @property
     def ids(self):
-        """Returns the list of ids of the axes
+        """
+        Returns the list of ids of the axes.
 
         Returns
         -------
         list
-            List of ids of the axes
+            list of ids of the axes.
 
-        Example
-        -------
+        See Also
+        --------
+        axis_id
+
+        Examples
+        --------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
-        >>> col = AxisCollection([a, b, c])
-        >>> col.ids
+        >>> AxisCollection([a, b, c]).ids
         ['a', 1, 'c']
         """
         return [axis.name if axis.name is not None else i
                 for i, axis in enumerate(self._list)]
 
     def axis_id(self, axis):
-        """Returns the id of an axis
+        """
+        Returns the id of an axis.
 
         Returns
         -------
         str or int
-            id of axis, which is its name if defined and its position otherwise
+            id of axis, which is its name if defined and its position otherwise.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
@@ -2065,30 +2450,64 @@ def axis_id(self, axis):
 
     @property
     def shape(self):
+        """
+        Returns the shape of the collection.
+
+        Returns
+        -------
+        tuple
+            tuple of lengths of axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).shape
+        (20, 2, 4)
+        """
         return tuple(len(axis) for axis in self._list)
 
     @property
     def size(self):
+        """
+        Returns the size of the collection, i.e. the product of lengths of axes.
+
+        Returns
+        -------
+        int
+            product of lengths of axes.
+
+        Examples
+        --------
+        >>> age = Axis('age',range(20))
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).size
+        160
+        """
         return np.prod(self.shape)
 
     @property
     def info(self):
-        """Describes an AxisCollection (shape and labels for each axis).
+        """
+        Describes an AxisCollection (shape and labels for each axis).
 
         Returns
         -------
-        String
-            Description of the AxisCollection (shape and labels for each axis).
+        string
+            description of the AxisCollection (shape and labels for each axis).
 
-        Example
-        -------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> axes = AxisCollection([nat, sex])
-        >>> axes.info
-        2 x 2
-         nat [2]: 'BE' 'FO'
+        Examples
+        --------
+        >>> age = Axis('age',20)
+        >>> sex = Axis('sex',['M','F'])
+        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> AxisCollection([age,sex,time]).info
+        20 x 2 x 4
+         age* [20]: 0 1 2 ... 17 18 19
          sex [2]: 'M' 'F'
+         time [4]: '2007' '2008' '2009' '2010'
         """
         lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
                  for name, axis in zip(self.display_names, self._list)]
@@ -2108,8 +2527,8 @@ def all(values, axis=None):
     -------
     LArray or scalar
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> a = ndrange([nat, sex]) >= 1
@@ -2141,8 +2560,8 @@ def any(values, axis=None):
     -------
     LArray or scalar
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> a = ndrange([nat, sex]) >= 3
@@ -2637,8 +3056,8 @@ def rename(self, renames=None, to=None, **kwargs):
         LArray
             array with some axes renamed.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = ndrange([nat, sex])
@@ -2687,8 +3106,8 @@ def sort_values(self, key):
         LArray
             LArray with sorted values.
 
-        Example
-        -------
+        Examples
+        --------
         >>> sex = Axis('sex', ['M', 'F'])
         >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
         >>> xtype = Axis('type', ['type1', 'type2'])
@@ -3762,8 +4181,8 @@ def with_total(self, *args, **kwargs):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = ndrange([nat, sex])
@@ -3838,8 +4257,8 @@ def argmin(self, axis=None):
         In case of multiple occurrences of the minimum values, the indices
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3880,8 +4299,8 @@ def posargmin(self, axis=None):
         In case of multiple occurrences of the minimum values, the indices
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3920,8 +4339,8 @@ def argmax(self, axis=None):
         In case of multiple occurrences of the maximum values, the labels
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -3962,8 +4381,8 @@ def posargmax(self, axis=None):
         In case of multiple occurrences of the maximum values, the labels
         corresponding to the first occurrence are returned.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4005,8 +4424,8 @@ def argsort(self, axis=None, kind='quicksort'):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4052,8 +4471,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
@@ -4088,8 +4507,8 @@ def info(self):
         str
             Description of the LArray (shape and labels for each axis).
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> mat0 = ones([nat, sex])
@@ -4112,8 +4531,8 @@ def ratio(self, *axes):
         LArray
             array / array.sum(axes)
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
@@ -4203,8 +4622,8 @@ def percent(self, *axes):
         LArray
             array / array.sum(axes) * 100
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
@@ -4407,8 +4826,8 @@ def divnot0(self, other):
         LArray
             array divided by other, 0.0 where other is 0
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> a = ndrange((nat, sex))
@@ -4464,8 +4883,8 @@ def expand(self, target_axes=None, out=None, readonly=False):
         LArray
             original array if possible (and out is None)
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', ['b1', 'b2'])
         >>> arr = ndrange([a, b])
@@ -4534,8 +4953,8 @@ def append(self, axis, value, label=None):
         LArray
             array expanded with 'value' along 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex |   M |   F
@@ -4590,8 +5009,8 @@ def prepend(self, axis, value, label=None):
         LArray
             array expanded with 'value' at the start of 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
         nat\sex |   M |   F
@@ -4644,8 +5063,8 @@ def extend(self, axis, other):
         LArray
             array expanded with 'other' along 'axis'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
         >>> sex2 = Axis('sex', ['U'])
@@ -4699,8 +5118,8 @@ def transpose(self, *args):
         LArray
             LArray with reordered axes.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange([('nat', 'BE,FO'),
         ...              ('sex', 'M,F'),
         ...              ('alive', [False, True])])
@@ -4788,8 +5207,8 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
             Drop lines if 'all' its values are NA, if 'any' value is NA or do
             not drop any line (default). True is equivalent to 'all'.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
@@ -4841,8 +5260,8 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         *args
         **kargs
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_hdf('test.h5', 'a')
         """
@@ -4889,8 +5308,8 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
         *args
         **kargs
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> # write to a new (unnamed) sheet
         >>> a.to_excel('test.xlsx')  # doctest: +SKIP
@@ -4951,8 +5370,8 @@ def to_clipboard(self, *args, **kwargs):
         using to_clipboard() makes it possible to paste the content of LArray
         into a file (Excel, ascii file,...)
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_clipboard()  # doctest: +SKIP
         """
@@ -5004,8 +5423,8 @@ def plot(self):
         the graph can be tweaked to achieve the desired formatting and can be
         saved to a .png file
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.plot()  # doctest: +SKIP
         """
@@ -5020,8 +5439,8 @@ def shape(self):
         -------
             returns string representation of current shape.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
         >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
@@ -5037,8 +5456,8 @@ def ndim(self):
         -------
             returns the number of dimensions of a LArray.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.ndim
         2
@@ -5055,8 +5474,8 @@ def size(self):
         int
             returns the number of cells in array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3')
         >>> a.size
         6
@@ -5073,8 +5492,8 @@ def nbytes(self):
         int
             returns the number of bytes in array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.nbytes
         48
@@ -5091,8 +5510,8 @@ def memory_used(self):
         str
             returns the memory used by the array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.memory_used
         '48 bytes'
@@ -5109,8 +5528,8 @@ def dtype(self):
         dtype
             returns the type of the data in the cells of LArray.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = zeros('sex=M,F;type=type1,type2,type3')
         >>> a.dtype
         dtype('float64')
@@ -5148,8 +5567,8 @@ def set_labels(self, axis, labels, inplace=False):
         LArray
             array with modified labels.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
@@ -5188,8 +5607,8 @@ def shift(self, axis, n=1):
         -------
         LArray
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3')
         >>> a
         sex\\type | type1 | type2 | type3
@@ -5339,8 +5758,8 @@ def compact(self):
         LArray or scalar
             array with constant axes removed
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = LArray([[1, 2],
         ...             [1, 2]], [Axis('sex', 'M,F'), Axis('nat', 'BE,FO')])
         >>> a
@@ -5701,8 +6120,8 @@ def zeros_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> zeros_like(a)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5731,8 +6150,8 @@ def ones(axes, dtype=float, order='C'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> ones([nat, sex])
@@ -5763,8 +6182,8 @@ def ones_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> ones_like(a)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5794,8 +6213,8 @@ def empty(axes, dtype=float, order='C'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> empty([nat, sex])  # doctest: +SKIP
@@ -5827,8 +6246,8 @@ def empty_like(array, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((3, 2))
     >>> empty_like(a)   # doctest: +SKIP
     -\- |                  0 |                  1
@@ -5905,8 +6324,8 @@ def full_like(array, fill_value, dtype=None, order='K'):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> a = ndrange((2, 3))
     >>> full_like(a, 5)
     {0}*\\{1}* | 0 | 1 | 2
@@ -5953,8 +6372,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
         axes of the result. Defaults to the union of axes present in other
         arguments.
 
-    Example
-    -------
+    Examples
+    --------
     >>> year = Axis('year', range(2016, 2020))
     >>> sex = Axis('sex', ['M', 'F'])
     >>> create_sequential(year)
@@ -6349,8 +6768,8 @@ def labels_array(axes):
     -------
     LArray
 
-    Example
-    -------
+    Examples
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> labels_array(sex)
@@ -6413,8 +6832,8 @@ def eye(rows, columns=None, k=0, dtype=None):
         An array where all elements are equal to zero, except for the k-th
         diagonal, whose values are equal to one.
 
-    Example
-    -------
+    Examples
+    --------
     >>> eye(2, dtype=int)
     {0}*\\{1}* | 0 | 1
             0 | 1 | 0

From 119ce7fed106e148a421a4f674f2f70f3c6f53dd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 10:06:53 +0100
Subject: [PATCH 213/899] update doctests (add whitespaces after commas).

---
 larray/core.py | 229 +++++++++++++++++++++++++------------------------
 1 file changed, 115 insertions(+), 114 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index fc7d64067..a2fd726b8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -137,9 +137,9 @@ def _srange(*args):
     --------
     >>> _srange(8)
     ['0', '1', '2', '3', '4', '5', '6', '7']
-    >>> _srange(5,8)
+    >>> _srange(5, 8)
     ['5', '6', '7']
-    >>> _srange(1,8,2)
+    >>> _srange(1, 8, 2)
     ['1', '3', '5', '7']
     """
     return list(map(str, range(*args)))
@@ -397,8 +397,8 @@ def to_key(v):
     -----
     "int strings" are not converted to int.
 
-    Examples:
-    ---------
+    Examples
+    --------
     >>> to_key('a:c')
     slice('a', 'c', None)
     >>> to_key('a, b,c ,')
@@ -512,7 +512,7 @@ def union(*args):
 
     Examples
     --------
-    >>> union('a', 'a,b,c,d', ['d','e','f'], ':2')
+    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
     ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
     if args:
@@ -537,17 +537,17 @@ def larray_equal(first, other):
 
     Examples
     --------
-    >>> age = Axis('age',range(0,100,10))
-    >>> sex = Axis('sex',['M','F'])
-    >>> a = ndrange([age,sex])
+    >>> age = Axis('age', range(0, 100, 10))
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([age, sex])
     >>> b = a.copy()
-    >>> larray_equal(a,b)
+    >>> larray_equal(a, b)
     True
     >>> b['F'] += 1
-    >>> larray_equal(a,b)
+    >>> larray_equal(a, b)
     False
-    >>> b = a.set_labels(x.sex, ['Men','Women']).copy()
-    >>> larray_equal(a,b)
+    >>> b = a.set_labels(x.sex, ['Men', 'Women']).copy()
+    >>> larray_equal(a, b)
     False
     """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
@@ -568,7 +568,7 @@ def _seq_summary(seq, num=3, func=repr):
 
     Examples
     --------
-    >>> _seq_summary(range(10),2)
+    >>> _seq_summary(range(10), 2)
     '0 1 ... 8 9'
     """
     def shorten(l):
@@ -620,14 +620,14 @@ class Axis(object):
 
     Examples
     --------
-    >>> age = Axis('age',10)
+    >>> age = Axis('age', 10)
     >>> age
     Axis('age', 10)
     >>> age.name
     'age'
     >>> age.labels
     array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
-    >>> sex = Axis('sex',['M','F'])
+    >>> sex = Axis('sex', ['M', 'F'])
     >>> sex
     Axis('sex', ['M', 'F'])
     """
@@ -708,14 +708,14 @@ def i(self):
 
         Examples
         --------
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time', ['2007','2008','2009','2010'])
-        >>> arr = ndrange([sex,time])
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> arr = ndrange([sex, time])
         >>> arr
         sex\\time | 2007 | 2008 | 2009 | 2010
                M |    0 |    1 |    2 |    3
                F |    4 |    5 |    6 |    7
-        >>> arr[time.i[0,-1]]
+        >>> arr[time.i[0, -1]]
         sex\\time | 2007 | 2010
                M |    0 |    3
                F |    4 |    7
@@ -792,9 +792,9 @@ def group(self, *args, **kwargs):
 
         Examples
         --------
-        >>> age = Axis('age',100)
-        >>> age.group(10,18,name='teenagers')
-        LGroup([10, 18], name='teenagers', axis=Axis('age', 100))
+        >>> age = Axis('age', 100)
+        >>> age.group('10:20', name='teenagers')
+        LGroup('10:20', name='teenagers', axis=Axis('age', 100))
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -846,8 +846,8 @@ def subaxis(self, key, name=None):
 
         Examples
         --------
-        >>> age = Axis('age',100)
-        >>> age.subaxis(range(10,18),name='teenagers')
+        >>> age = Axis('age', 100)
+        >>> age.subaxis(range(10, 18), name='teenagers')
         Axis('teenagers', 8)
         """
         if (name is None and isinstance(key, slice) and
@@ -881,7 +881,7 @@ def iscompatible(self, other):
 
         Examples
         --------
-        >>> age = Axis('age',100)
+        >>> age = Axis('age', 100)
         >>> age.iscompatible(age.rename('age_bis'))
         False
         """
@@ -916,10 +916,10 @@ def equals(self, other):
 
         Examples
         --------
-        >>> age = Axis('age',range(5))
-        >>> age_2 = Axis('age',5)
+        >>> age = Axis('age', range(5))
+        >>> age_2 = Axis('age', 5)
         >>> age_3 = Axis('young children', range(5))
-        >>> age_4 = Axis('age',[0,1,2,3,4])
+        >>> age_4 = Axis('age', [0, 1, 2, 3, 4])
         >>> age.equals(age_2)
         False
         >>> age.equals(age_3)
@@ -1176,7 +1176,7 @@ def labels_summary(self):
 
         Examples
         --------
-        >>> Axis('age',100).labels_summary()
+        >>> Axis('age', 100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
         def repr_on_strings(v):
@@ -1535,7 +1535,7 @@ def index_by_id(seq, value):
 
     Examples
     --------
-    >>> index_by_id(['A','B','C','D','E','F','G','H'], 'D')
+    >>> index_by_id(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'], 'D')
     3
     """
     for i, item in enumerate(seq):
@@ -1570,9 +1570,9 @@ class AxisCollection(object):
 
     Examples
     --------
-    >>> age = Axis('age',range(20))
-    >>> sex = Axis('sex',['M','F'])
-    >>> AxisCollection([3,age,sex,('city',['London','Paris','Rome']),'time=2007,2008,2009,2010'])
+    >>> age = Axis('age', range(20))
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> AxisCollection([3, age, sex,('city', ['London', 'Paris', 'Rome']),'time = 2007, 2008, 2009, 2010'])
     AxisCollection([
         Axis(None, 3),
         Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -1691,11 +1691,11 @@ def get_by_pos(self, key, i):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col.get_by_pos('sex',1)
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.get_by_pos('sex', 1)
         Axis('sex', ['M', 'F'])
         """
         if isinstance(key, Axis) and key.name is None:
@@ -1840,10 +1840,10 @@ def isaxis(self, value):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.isaxis(age)
         True
         >>> col.isaxis('time')
@@ -1905,15 +1905,15 @@ def get(self, key, default=None, name=None):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, time])
         >>> col.get('time')
         Axis('time', ['2007', '2008', '2009', '2010'])
-        >>> col.get('sex',sex)
+        >>> col.get('sex', sex)
         Axis('sex', ['M', 'F'])
-        >>> col.get('nb_children',None,'nb_children')
+        >>> col.get('nb_children', None, 'nb_children')
         Axis('nb_children', 1)
         """
         # XXX: use if key in self?
@@ -1945,12 +1945,12 @@ def get_all(self, key):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> city = Axis('city',['London','Paris','Rome'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col2 = AxisCollection([age,city,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> city = Axis('city', ['London', 'Paris', 'Rome'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col2 = AxisCollection([age, city, time])
         >>> col2
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -1978,10 +1978,10 @@ def keys(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).keys()
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).keys()
         ['age', 'sex', 'time']
         """
         # XXX: include id/num for anonymous axes? I think I should
@@ -2004,10 +2004,10 @@ def pop(self, axis=-1):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.pop('age')
         Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
         >>> col
@@ -2033,10 +2033,10 @@ def append(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex])
         >>> col.append(time)
         >>> col
         AxisCollection([
@@ -2078,11 +2078,11 @@ def extend(self, axes, validate=True, replace_wildcards=False):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
         >>> col = AxisCollection(age)
-        >>> col.extend([sex,time])
+        >>> col.extend([sex, time])
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -2149,10 +2149,10 @@ def index(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
         >>> col.index(time)
         2
         >>> col.index('sex')
@@ -2192,11 +2192,11 @@ def insert(self, index, axis):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,time])
-        >>> col.insert(1,sex)
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, time])
+        >>> col.insert(1, sex)
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
@@ -2230,10 +2230,10 @@ def replace(self, old, new):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> age_new = Axis('age',range(10))
-        >>> sex = Axis('sex',['M','F'])
-        >>> col = AxisCollection([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> age_new = Axis('age', range(10))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> col = AxisCollection([age, sex])
         >>> col.replace(age, age_new)
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
@@ -2255,6 +2255,7 @@ def without(self, axes):
         ----------
         axes : sequence of Axis or string
             axes to not include in the returned AxisCollection.
+            In case of string, axes are separated by a comma and no whitespace is accepted.
 
         Returns
         -------
@@ -2267,11 +2268,11 @@ def without(self, axes):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> col = AxisCollection([age,sex,time])
-        >>> col.without([age,sex])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.without([age, sex])
         AxisCollection([
             Axis('time', ['2007', '2008', '2009', '2010'])
         ])
@@ -2319,10 +2320,10 @@ def translate_full_key(self, key):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).translate_full_key([':','F','2009'])
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', '2009'))
         (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
@@ -2341,13 +2342,13 @@ def labels(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(10))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).labels
+        >>> age = Axis('age', range(10))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
-              dtype='<U1'), array(['2007', '2008', '2009', '2010'],
-              dtype='<U4')]
+        dtype='<U1'), array(['2007', '2008', '2009', '2010'],
+        dtype='<U4')]
         """
         return [axis.labels for axis in self._list]
 
@@ -2363,10 +2364,10 @@ def names(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).names
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).names
         ['age', 'sex', 'time']
         """
         return [axis.name for axis in self._list]
@@ -2460,10 +2461,10 @@ def shape(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).shape
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).shape
         (20, 2, 4)
         """
         return tuple(len(axis) for axis in self._list)
@@ -2480,10 +2481,10 @@ def size(self):
 
         Examples
         --------
-        >>> age = Axis('age',range(20))
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).size
+        >>> age = Axis('age', range(20))
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).size
         160
         """
         return np.prod(self.shape)
@@ -2500,10 +2501,10 @@ def info(self):
 
         Examples
         --------
-        >>> age = Axis('age',20)
-        >>> sex = Axis('sex',['M','F'])
-        >>> time = Axis('time',['2007','2008','2009','2010'])
-        >>> AxisCollection([age,sex,time]).info
+        >>> age = Axis('age', 20)
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> AxisCollection([age, sex, time]).info
         20 x 2 x 4
          age* [20]: 0 1 2 ... 17 18 19
          sex [2]: 'M' 'F'

From 041e4af0741cd2e67f722e43a9d3bcc27bfc1f20 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 10:49:00 +0100
Subject: [PATCH 214/899] update documentation of all and any.

---
 larray/core.py | 47 +++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 39 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a2fd726b8..15fa2cf32 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2517,16 +2517,28 @@ def info(self):
 
 
 def all(values, axis=None):
-    """Test whether all array elements along given axes evaluate to True.
+    """
+    Test whether all array elements along given axes evaluate to True.
+    If `values` is not a LArray object, the function calls the equivalent
+    Python builtins function.
 
     Parameters
     ----------
-    axis : None, int, str or Axis, tuple of int, str or Axis, optional
-        axes over which to aggregate. Defaults to None (all axes).
+    values : LArray or iterable
+        LArray object or iterable to test.
+    axis : str or Axis, optional
+        axis or label(s) over which to aggregate.
+        If several labels provided, they must belong to the same axis.
+        Defaults to None (all axes).
 
     Returns
     -------
-    LArray or scalar
+    LArray of bool or bool
+
+    See Also
+    --------
+    LArray.all
+    builtins.all
 
     Examples
     --------
@@ -2542,6 +2554,12 @@ def all(values, axis=None):
     >>> all(a, nat)
     sex |     M |    F
         | False | True
+    >>> all(a, 'M, F')
+    nat |    BE |   FO
+        | False | True
+    >>> all(a, 'F')
+    nat |   BE |   FO
+        | True | True
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2550,16 +2568,23 @@ def all(values, axis=None):
 
 
 def any(values, axis=None):
-    """Test whether any array elements along given axes evaluate to True.
+    """
+    Test whether any array elements along given axes evaluate to True.
+    If `values` is not a LArray object, the function calls the equivalent
+    Python builtins function.
 
     Parameters
     ----------
-    axis : int, str or Axis, tuple of int, str or Axis, optional
-        axes over which to aggregate. Defaults to None (all axes).
+    values : LArray or iterable
+        LArray object or iterable to test.
+    axis : str or Axis, optional
+        axis or label(s) over which to aggregate.
+        If several labels provided, they must belong to the same axis.
+        Defaults to None (all axes).
 
     Returns
     -------
-    LArray or scalar
+    LArray of bool or bool
 
     Examples
     --------
@@ -2575,6 +2600,12 @@ def any(values, axis=None):
     >>> any(a, nat)
     sex |     M |    F
         | False | True
+    >>> any(a, 'M, F')
+    nat |    BE |   FO
+        | False | True
+    >>> any(a, 'F')
+    nat |    BE |   FO
+        | False | True
     """
     if isinstance(values, LArray):
         return values.any(axis)

From 99d1dca2ad7322891480400d3d77f05dcb56d212 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 14:10:10 +0100
Subject: [PATCH 215/899] Update doctest of all and any using the new function
 ndtest.

---
 larray/core.py | 76 ++++++++++++++++++++++++++------------------------
 1 file changed, 40 insertions(+), 36 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 15fa2cf32..8f1165004 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2516,6 +2516,7 @@ def info(self):
         return ReprString('\n'.join([shape] + lines))
 
 
+# AD -- replace axis by key
 def all(values, axis=None):
     """
     Test whether all array elements along given axes evaluate to True.
@@ -2526,7 +2527,7 @@ def all(values, axis=None):
     ----------
     values : LArray or iterable
         LArray object or iterable to test.
-    axis : str or Axis, optional
+    axis : str or list or Axis, optional
         axis or label(s) over which to aggregate.
         If several labels provided, they must belong to the same axis.
         Defaults to None (all axes).
@@ -2542,24 +2543,25 @@ def all(values, axis=None):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([nat, sex]) >= 1
-    >>> a
-    nat\\sex |     M |    F
-         BE | False | True
-         FO |  True | True
-    >>> all(a)
+    >>> arr = ndtest((3,3))
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
+    >>> barr = arr % 2 == 0
+    a\b |    b0 |    b1 |    b2
+     a0 |  True | False |  True
+     a1 | False |  True | False
+     a2 |  True | False |  True
+    >>> all(barr)
     False
-    >>> all(a, nat)
-    sex |     M |    F
-        | False | True
-    >>> all(a, 'M, F')
-    nat |    BE |   FO
-        | False | True
-    >>> all(a, 'F')
-    nat |   BE |   FO
-        | True | True
+    >>> all(barr, 'a')
+    b |    b0 |    b1 |    b2
+      | False | False | False
+    >>> all(barr, 'a0, a2')
+    b |   b0 |    b1 |   b2
+      | True | False | True
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2567,6 +2569,7 @@ def all(values, axis=None):
         return builtins.all(values)
 
 
+# AD -- replace axis by key
 def any(values, axis=None):
     """
     Test whether any array elements along given axes evaluate to True.
@@ -2577,7 +2580,7 @@ def any(values, axis=None):
     ----------
     values : LArray or iterable
         LArray object or iterable to test.
-    axis : str or Axis, optional
+    axis : str or list or Axis, optional
         axis or label(s) over which to aggregate.
         If several labels provided, they must belong to the same axis.
         Defaults to None (all axes).
@@ -2588,24 +2591,25 @@ def any(values, axis=None):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([nat, sex]) >= 3
-    >>> a
-    nat\\sex |     M |     F
-         BE | False | False
-         FO | False |  True
-    >>> any(a)
+    >>> arr = ndtest((3,3))
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
+    >>> barr = arr % 2 == 0
+    a\b |    b0 |    b1 |    b2
+     a0 |  True | False |  True
+     a1 | False |  True | False
+     a2 |  True | False |  True
+    >>> any(barr)
     True
-    >>> any(a, nat)
-    sex |     M |    F
-        | False | True
-    >>> any(a, 'M, F')
-    nat |    BE |   FO
-        | False | True
-    >>> any(a, 'F')
-    nat |    BE |   FO
-        | False | True
+    >>> any(barr, 'a')
+    b |   b0 |   b1 |   b2
+      | True | True | True
+    >>> any(barr, 'a0, a1')
+    b |   b0 |   b1 |   b2
+      | True | True | True
     """
     if isinstance(values, LArray):
         return values.any(axis)

From dc56b6390b2d840af31cfb4687114a53e3dbafd8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Nov 2016 16:32:35 +0100
Subject: [PATCH 216/899] Update doctest of functions all, any, sum, prod,
 cumsum, cumprod, min, max, mean, median, percentile, ptp, var and std.

---
 larray/core.py | 567 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 491 insertions(+), 76 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8f1165004..4199d5fe3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2516,20 +2516,16 @@ def info(self):
         return ReprString('\n'.join([shape] + lines))
 
 
-# AD -- replace axis by key
 def all(values, axis=None):
     """
-    Test whether all array elements along given axes evaluate to True.
-    If `values` is not a LArray object, the function calls the equivalent
-    Python builtins function.
+    Test whether all array elements along a given axis evaluate to True.
 
     Parameters
     ----------
     values : LArray or iterable
-        LArray object or iterable to test.
+        Input data.
     axis : str or list or Axis, optional
-        axis or label(s) over which to aggregate.
-        If several labels provided, they must belong to the same axis.
+        axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
@@ -2538,19 +2534,23 @@ def all(values, axis=None):
 
     See Also
     --------
-    LArray.all
-    builtins.all
+    LArray.all : Equivalent method.
+
+    Notes
+    -----
+    If `values` is not a LArray object, the equivalent builtins function is used.
 
     Examples
     --------
     >>> arr = ndtest((3,3))
     >>> arr
-    a\b | b0 | b1 | b2
+    a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
     >>> barr = arr % 2 == 0
-    a\b |    b0 |    b1 |    b2
+    >>> barr
+    a\\b |    b0 |    b1 |    b2
      a0 |  True | False |  True
      a1 | False |  True | False
      a2 |  True | False |  True
@@ -2559,9 +2559,9 @@ def all(values, axis=None):
     >>> all(barr, 'a')
     b |    b0 |    b1 |    b2
       | False | False | False
-    >>> all(barr, 'a0, a2')
-    b |   b0 |    b1 |   b2
-      | True | False | True
+    >>> all(barr, 'b')
+    a |    a0 |    a1 |    a2
+      | False | False | False
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2569,36 +2569,41 @@ def all(values, axis=None):
         return builtins.all(values)
 
 
-# AD -- replace axis by key
 def any(values, axis=None):
     """
-    Test whether any array elements along given axes evaluate to True.
-    If `values` is not a LArray object, the function calls the equivalent
-    Python builtins function.
+    Test whether any array elements along a given axis evaluate to True.
 
     Parameters
     ----------
     values : LArray or iterable
-        LArray object or iterable to test.
+        Input data.
     axis : str or list or Axis, optional
-        axis or label(s) over which to aggregate.
-        If several labels provided, they must belong to the same axis.
+        axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
     -------
     LArray of bool or bool
 
+    See Also
+    --------
+    LArray.any : Equivalent method.
+
+    Notes
+    -----
+    If `values` is not a LArray object, the equivalent builtins function is used.
+
     Examples
     --------
     >>> arr = ndtest((3,3))
     >>> arr
-    a\b | b0 | b1 | b2
+    a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
     >>> barr = arr % 2 == 0
-    a\b |    b0 |    b1 |    b2
+    >>> barr
+    a\\b |    b0 |    b1 |    b2
      a0 |  True | False |  True
      a1 | False |  True | False
      a2 |  True | False |  True
@@ -2607,8 +2612,8 @@ def any(values, axis=None):
     >>> any(barr, 'a')
     b |   b0 |   b1 |   b2
       | True | True | True
-    >>> any(barr, 'a0, a1')
-    b |   b0 |   b1 |   b2
+    >>> any(barr, 'b')
+    a |   a0 |   a1 |   a2
       | True | True | True
     """
     if isinstance(values, LArray):
@@ -2624,8 +2629,8 @@ def sum(array, *args, **kwargs):
 
     Parameters
     ----------
-    array : iterable or array-like or LArray
-        Elements to sum.
+    array : LArray or iterable
+        Input data.
     axis : None or int or str or Axis or tuple of those, optional
         Axis or axes along which a sum is performed.
         The default (`axis` = `None`) is to perform a sum over all
@@ -2636,7 +2641,7 @@ def sum(array, *args, **kwargs):
 
     Returns
     -------
-    LArray
+    LArray or scalar
 
     See Also
     --------
@@ -2651,19 +2656,19 @@ def sum(array, *args, **kwargs):
 
     Examples
     --------
-    >>> a = ndrange((2, 3))
-    >>> a
-    {0}*\\{1}* | 0 | 1 | 2
-            0 | 0 | 1 | 2
-            1 | 3 | 4 | 5
-    >>> sum(a)
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> sum(arr)
     15
-    >>> sum(a, axis=0)
-    {0}* | 0 | 1 | 2
-         | 3 | 5 | 7
-    >>> sum(a, axis=1)
-    {0}* | 0 |  1
-         | 3 | 12
+    >>> sum(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  5 |  7
+    >>> sum(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  5 |  7
     """
     # XXX: we might want to be more aggressive here (more types to convert),
     #      however, generators should still be computed via the builtin.
@@ -2676,18 +2681,190 @@ def sum(array, *args, **kwargs):
 
 
 def prod(array, *args, **kwargs):
+    """prod(array, axis=None)
+
+    Return the product of the array elements over a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a product is performed.
+        The default (`axis` = `None`) is to perform the product over all
+        axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the product is performed on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.prod : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> prod(arr)
+    0
+    >>> prod(arr, axis=0)
+    b | b0 | b1 | b2
+      |  0 |  4 | 10
+    >>> prod(arr, axis='a')
+    b | b0 | b1 | b2
+      |  0 |  4 | 10
+    """
     return array.prod(*args, **kwargs)
 
 
 def cumsum(array, *args, **kwargs):
+    """cumsum(array, axis=None)
+
+    Return the cumulative sum of the elements along a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a cumulative sum is performed.
+        The default (`axis` = `None`) is to perform the cumulative sum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the cumulative sum is performed on multiple axes.
+
+    Returns
+    -------
+    LArray
+
+    See Also:
+    ---------
+    LArray.cumsum : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> cumsum(arr)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  3
+     a1 |  3 |  7 | 12
+    >>> cumsum(arr, axis=0)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  5 |  7
+    >>> cumsum(arr, axis='a')
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  5 |  7
+    """
     return array.cumsum(*args, **kwargs)
 
 
 def cumprod(array, *args, **kwargs):
+    """cumprod(array, axis=None)
+
+    Return the cumulative product of the elements along a given axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a cumulative product is performed.
+        The default (`axis` = `None`) is to perform the cumulative product
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the cumulative product is performed on multiple axes.
+
+    Returns
+    -------
+    LArray
+
+    See Also:
+    ---------
+    LArray.cumprod : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> cumprod(arr)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  0 |  0
+     a1 |  3 | 12 | 60
+    >>> cumprod(arr, axis=0)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  0 |  4 | 10
+    >>> cumprod(arr, axis='a')
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  0 |  4 | 10
+    """
     return array.cumprod(*args, **kwargs)
 
 
 def min(array, *args, **kwargs):
+    """min(array, axis=None)
+
+    Return the minimum of an array or minimum along an axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a the minimum is searched.
+        The default (`axis` = `None`) is to search the minimum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the minimum is searched on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.min : Equivalent method.
+
+    Notes
+    -----
+    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> min(arr)
+    0
+    >>> min(arr, axis=0)
+    b | b0 | b1 | b2
+      |  0 |  1 |  2
+    >>> min(arr, axis='a')
+    b | b0 | b1 | b2
+      |  0 |  1 |  2
+    """
     if isinstance(array, LArray):
         return array.min(*args, **kwargs)
     else:
@@ -2695,6 +2872,50 @@ def min(array, *args, **kwargs):
 
 
 def max(array, *args, **kwargs):
+    """max(array, axis=None)
+
+    Return the minimum of an array or maximum along an axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        axis or axes along which a the maximum is searched.
+        The default (`axis` = `None`) is to search the maximum
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the maximum is searched on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.max : Equivalent method.
+
+    Notes
+    -----
+    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> max(arr)
+    5
+    >>> max(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  4 |  5
+    >>> max(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  4 |  5
+    """
     if isinstance(array, LArray):
         return array.max(*args, **kwargs)
     else:
@@ -2702,78 +2923,272 @@ def max(array, *args, **kwargs):
 
 
 def mean(array, *args, **kwargs):
+    """mean(array, axis=None)
+
+    Compute the arithmetic mean along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the means are computed.
+        The default (`axis` = `None`) is to compute the mean
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the mean is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.mean : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> mean(arr)
+    2.5
+    >>> mean(arr, axis=0)
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    >>> mean(arr, axis='a')
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    """
     return array.mean(*args, **kwargs)
 
 
 def median(array, *args, **kwargs):
-    """
+    """median(array, axis=None)
+
+    Compute the median along the specified axis.
+
     Parameters
     ----------
-    array : iterable or array-like or LArray
+    array : LArray
+        Input data.
     axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the median are computed.
+        The default (`axis` = `None`) is to compute the median
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the median is calculated on multiple axes.
 
     Returns
     -------
-    LArray
+    LArray or scalar
 
-    See Also
-    --------
+    See Also:
+    ---------
     LArray.median : Equivalent method.
 
     Examples
     --------
-
-    >>> a = LArray([[10, 7, 4], [3, 2, 1]])
-    >>> a
-    {0}*\\{1}* |  0 | 1 | 2
-            0 | 10 | 7 | 4
-            1 |  3 | 2 | 1
-    >>> median(a)
-    3.5
-    >>> median(a, axis=0)
-    {0}* |   0 |   1 |   2
-         | 6.5 | 4.5 | 2.5
-    >>> median(a, axis=1)
-    {0}* |   0 |   1
-         | 7.0 | 2.0
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> median(arr)
+    2.5
+    >>> median(arr, axis=0)
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
+    >>> median(arr, axis='a')
+    b |  b0 |  b1 |  b2
+      | 1.5 | 2.5 | 3.5
     """
     return array.median(*args, **kwargs)
 
 
 def percentile(array, *args, **kwargs):
-    """
+    """percentile(array, q, axis=None)
+
+    Compute the qth percentile of the data along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    q : float in range of [0,100] (or sequence of floats)
+        Percentile to compute, which must be between 0 and 100 inclusive.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the percentile are computed.
+        The default (`axis` = `None`) is to compute the percentile
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the percentile is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.percentile : Equivalent method.
+
     Examples
     --------
-
-    >>> a = LArray([[10, 7, 4], [3, 2, 1]])
-    >>> a
-    {0}*\\{1}* |  0 | 1 | 2
-            0 | 10 | 7 | 4
-            1 |  3 | 2 | 1
-    >>> # this is a bug in numpy: np.nanpercentile(all axes) returns an ndarray,
-    >>> # instead of a scalar.
-    >>> percentile(a, 50)
-    array(3.5)
-    >>> percentile(a, 50, axis=0)
-    {0}* |   0 |   1 |   2
-         | 6.5 | 4.5 | 2.5
-    >>> percentile(a, 50, axis=1)
-    {0}* |   0 |   1
-         | 7.0 | 2.0
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> percentile(arr, 25)
+    array(1.25)
+    >>> percentile(arr, 25, axis=0)
+    b |   b0 |   b1 |   b2
+      | 0.75 | 1.75 | 2.75
+    >>> percentile(arr, 25, axis='a')
+    b |   b0 |   b1 |   b2
+      | 0.75 | 1.75 | 2.75
     """
     return array.percentile(*args, **kwargs)
 
 
 # not commutative
 def ptp(array, *args, **kwargs):
+    """ptp(array, axis=None)
+
+    Range of values (maximum - minimum) along an axis.
+
+    The name of the function comes from the acronym for ‘peak to peak’.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis along which to find the peaks.
+        The default (`axis` = `None`) is to find the peaks
+        over all axes of the input array (as if the array is flatten).
+        `axis` may be negative, in which case it counts from the last
+        to the first axis.
+
+        If this is a tuple, the peaks are computed on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.ptp : Equivalent method.
+
+    Examples
+    --------
+    #>>> arr = ndtest((2, 3))
+    #>>> arr
+    #a\\b | b0 | b1 | b2
+    # a0 |  0 |  1 |  2
+    # a1 |  3 |  4 |  5
+    #>>> ptp(arr)
+    #5
+    #>>> ptp(arr, axis=0)
+    #b |  b0 |  b1 |  b2
+    #  |   3 |   3 |   3
+    #>>> ptp(arr, axis='a')
+    #b |  b0 |  b1 |  b2
+    #  |   3 |   3 |   3
+    """
     return array.ptp(*args, **kwargs)
 
 
 def var(array, *args, **kwargs):
+    """var(array, axis=None)
+
+    Compute the variance along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the variance are computed.
+        The default (`axis` = `None`) is to compute the variance
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the variance is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.var : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> var(arr)
+    2.9166666666666665
+    >>> var(arr, axis=1)
+    a |                 a0 |                 a1
+      | 0.6666666666666666 | 0.6666666666666666
+    >>> var(arr, axis='b')
+    a |                 a0 |                 a1
+      | 0.6666666666666666 | 0.6666666666666666
+    """
     return array.var(*args, **kwargs)
 
 
 def std(array, *args, **kwargs):
+    """std(array, axis=None)
+
+    Compute the standard deviation along the specified axis.
+
+    Parameters
+    ----------
+    array : LArray
+        Input data.
+    axis : None or int or str or Axis or tuple of those, optional
+        Axis or axes along which the standard deviation are computed.
+        The default (`axis` = `None`) is to compute the standard deviation
+        over all axes of the input array. `axis` may be negative, in
+        which case it counts from the last to the first axis.
+
+        If this is a tuple, the standard deviation is calculated on multiple axes.
+
+    Returns
+    -------
+    LArray or scalar
+
+    See Also:
+    ---------
+    LArray.std : Equivalent method.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> std(arr)
+    1.707825127659933
+    >>> std(arr, axis=1)
+    a |                a0 |                a1
+      | 0.816496580927726 | 0.816496580927726
+    >>> std(arr, axis='b')
+    a |                a0 |                a1
+      | 0.816496580927726 | 0.816496580927726
+    """
     return array.std(*args, **kwargs)
 
 

From 8409b14b45a0baac01582b4d5dbcdfbc5af8fa6d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Nov 2016 11:46:53 +0100
Subject: [PATCH 217/899] Update documentation of aslarray and get_axis
 function

---
 larray/core.py | 83 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 78 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4199d5fe3..57d9daf72 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3192,13 +3192,23 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-_numeric_kinds = 'buifc'
-_string_kinds = 'SU'
+_numeric_kinds = 'buifc'    #Boolean, Unsigned integer, Integer, Float, Complex
+_string_kinds = 'SU'        #String, Unicode
 _meta_kind = {k: 'str' for k in _string_kinds}
 _meta_kind.update({k: 'numeric' for k in _numeric_kinds})
 
 
 def common_type(arrays):
+    """
+    Similar to ``common_type`` NumPy function.
+    Return a type which is common to the input arrays.
+    All input arrays can be safely cast to the returned dtype without loss of information.
+
+    Notes
+    -----
+    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object'
+    as common type.
+    """
     arrays = [np.asarray(a) for a in arrays]
     dtypes = [a.dtype for a in arrays]
     meta_kinds = [_meta_kind.get(dt.kind, 'other') for dt in dtypes]
@@ -3277,7 +3287,7 @@ class LArrayPositionalIndexer(object):
     def __init__(self, array):
         self.array = array
 
-    def translate_key(self, key):
+    def _translate_key(self, key):
         if not isinstance(key, tuple):
             key = (key,)
         if len(key) > self.array.ndim:
@@ -3288,10 +3298,10 @@ def translate_key(self, key):
                      for axis_key, axis in zip(key, self.array.axes))
 
     def __getitem__(self, key):
-        return self.array[self.translate_key(key)]
+        return self.array[self._translate_key(key)]
 
     def __setitem__(self, key, value):
-        self.array[self.translate_key(key)] = value
+        self.array[self._translate_key(key)] = value
 
     def __len__(self):
         return len(self.array)
@@ -3345,10 +3355,73 @@ def __setitem__(self, key, value):
 
 
 def get_axis(obj, i):
+    """
+    Returns an axis according to its position.
+
+    Parameters
+    ----------
+    obj : LArray or other array
+        Input LArray or any array object on which a shape method can be applied
+        (NumPy or PandaS array).
+    i : int
+        Position of the axis.
+
+    Returns
+    -------
+    Axis
+        Axis corresponding to the given position if input `obj` is a LArray.
+        A new anonymous Axis with the same length of the ith dimension of
+        the input `obj` otherwise.
+
+    Examples
+    --------
+    >>> arr = ndtest((2, 2, 2))
+    >>> arr
+     a | b\c | c0 | c1
+    a0 |  b0 |  0 |  1
+    a0 |  b1 |  2 |  3
+    a1 |  b0 |  4 |  5
+    a1 |  b1 |  6 |  7
+    >>> get_axis(arr, 1)
+    Axis('b', ['b0', 'b1'])
+    >>> np_arr = np.zeros((2, 2, 2))
+    >>> get_axis(np_arr, 1)
+    Axis(None, 2)
+    """
     return obj.axes[i] if isinstance(obj, LArray) else Axis(None, obj.shape[i])
 
 
 def aslarray(a):
+    """
+    Converts input as LArray if possible.
+
+    Parameters
+    ----------
+    a : array-like
+        Input array to convert into a LArray.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> # NumPy array
+    >>> np_arr = np.arange(6).reshape((2,3))
+    >>> aslarray(np_arr)
+    {0}*\{1}* | 0 | 1 | 2
+            0 | 0 | 1 | 2
+            1 | 3 | 4 | 5
+    >>> # PandaS dataframe
+    >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
+    ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
+    >>> df = pd.DataFrame(data)
+    >>> aslarray(df)
+    {0}\{1} | normal | reverse
+          a |    1.0 |     3.0
+          b |    2.0 |     2.0
+          c |    3.0 |     1.0
+    """
     if isinstance(a, LArray):
         return a
     elif hasattr(a, '__larray__'):

From 6c0f779eee3dd7812f427752fd198c70e81e4023 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Nov 2016 15:58:42 +0100
Subject: [PATCH 218/899] Update documentation of LArray.nonzero and
 LArray.with_axes methods.

---
 larray/core.py | 179 ++++++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 154 insertions(+), 25 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 57d9daf72..95fa12402 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3087,19 +3087,19 @@ def ptp(array, *args, **kwargs):
 
     Examples
     --------
-    #>>> arr = ndtest((2, 3))
-    #>>> arr
-    #a\\b | b0 | b1 | b2
-    # a0 |  0 |  1 |  2
-    # a1 |  3 |  4 |  5
-    #>>> ptp(arr)
-    #5
-    #>>> ptp(arr, axis=0)
-    #b |  b0 |  b1 |  b2
-    #  |   3 |   3 |   3
-    #>>> ptp(arr, axis='a')
-    #b |  b0 |  b1 |  b2
-    #  |   3 |   3 |   3
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> ptp(arr)
+    5
+    >>> ptp(arr, axis=0)
+    b | b0 | b1 | b2
+      |  3 |  3 |  3
+    >>> ptp(arr, axis='a')
+    b | b0 | b1 | b2
+      |  3 |  3 |  3
     """
     return array.ptp(*args, **kwargs)
 
@@ -3219,6 +3219,7 @@ def common_type(arrays):
         return np.find_common_type(dtypes, [])
     elif meta_kinds[0] == 'str':
         need_unicode = any(dt.kind == 'U' for dt in dtypes)
+        # unicode are coded with 4 bytes
         max_size = max(dt.itemsize // 4 if dt.kind == 'U' else dt.itemsize
                        for dt in dtypes)
         return np.dtype(('U' if need_unicode else 'S', max_size))
@@ -3433,22 +3434,91 @@ def aslarray(a):
 
 
 class LArray(object):
+    """
+    A LArray object represents a multidimensional, homogeneous
+    array of fixed-size items with labeled axes.
+
+    The function :func:`aslarray` can be used to convert a
+    NumPy array or PandaS DataFrame into a LArray.
+
+    Parameters
+    ----------
+    data : scalar, tuple, list or NumPy ndarray
+        Input data.
+    axes : collection (tuple, list or AxisCollection) of axes \
+    (int, str or  Axis), optional
+        Axes.
+    title : str, optional
+        Title of array.
+
+    Attributes
+    ----------
+    data : NumPy ndarray
+        Data.
+    axes : AxisCollection
+        Axes.
+    title : str
+        Title.
+
+    See Also
+    --------
+    create_sequential : Create a LArray by sequentially
+                        applying modifications to the array
+                        along axis.
+    ndrange : Create a LArray with increasing elements.
+    zeros : Create a LArray, each element of which is zero.
+    ones : Create a LArray, each element of which is 1.
+    full : Create a LArray filled with a given value.
+    empty : Create a LArray, but leave its allocated memory
+            unchanged (i.e., it contains “garbage”).
+
+    Examples
+    --------
+    >>> age = Axis('age', [10, 11, 12])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> time = Axis('time', ['2007','2008','2009'])
+    >>> axes = [age, sex, time]
+    >>> ndrange(axes, 10)
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M |   10 |   11 |   12
+     10 |        F |   13 |   14 |   15
+     11 |        M |   16 |   17 |   18
+     11 |        F |   19 |   20 |   21
+     12 |        M |   22 |   23 |   24
+     12 |        F |   25 |   26 |   27
+    >>> full(axes, 10.0)
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M | 10.0 | 10.0 | 10.0
+     10 |        F | 10.0 | 10.0 | 10.0
+     11 |        M | 10.0 | 10.0 | 10.0
+     11 |        F | 10.0 | 10.0 | 10.0
+     12 |        M | 10.0 | 10.0 | 10.0
+     12 |        F | 10.0 | 10.0 | 10.0
+    >>> arr = empty(axes)
+    >>> arr['F'] = 1.0
+    >>> arr['M'] = -1.0
+    >>> arr
+    age | sex\\time | 2007 | 2008 | 2009
+     10 |        M | -1.0 | -1.0 | -1.0
+     10 |        F |  1.0 |  1.0 |  1.0
+     11 |        M | -1.0 | -1.0 | -1.0
+     11 |        F |  1.0 |  1.0 |  1.0
+     12 |        M | -1.0 | -1.0 | -1.0
+     12 |        F |  1.0 |  1.0 |  1.0
+    >>> bysex = create_sequential(sex, initial=-1, inc=2)
+    >>> bysex
+    sex |  M | F
+        | -1 | 1
+    >>> create_sequential(age, initial=10, inc=bysex)
+    sex\\age | 10 | 11 | 12
+          M | 10 |  9 |  8
+          F | 10 | 11 | 12
+    """
     def __init__(self,
                  data,
                  axes=None,
                  title=''   # type: str
                  ):
-        """
-        Parameters
-        ----------
-        data : scalar, tuple, list or np.ndarray
-            data
-        axes : collection (tuple, list or AxisCollection) of axes (int,
-        str or  Axis), optional
-            axes
-        title : str, optional
-            title of array
-        """
         data = np.asarray(data)
         ndim = data.ndim
         if axes is None:
@@ -3470,11 +3540,62 @@ def __init__(self,
 
     # XXX: rename to posnonzero and implement a label version of nonzero
     def nonzero(self):
+        """
+        Return the indices of the elements that are non-zero.
+
+        Returns a tuple of arrays, one for each dimension of a,
+        containing the indices of the non-zero elements in that dimension.
+
+        Returns
+        -------
+        tuple_of_arrays : tuple
+            Indices of elements that are non-zero.
+
+        Examples
+        --------
+        >>> arr = ndtest((2,3)) % 2
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  0
+         a1 |  1 |  0 |  1
+        >>> arr.nonzero()
+        (array([0, 1, 1], dtype=int64), array([1, 0, 2], dtype=int64))
+        """
         # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]
         return self.data.nonzero()
 
     def with_axes(self, axes):
+        """
+        Returns a LArray with same data but new axes.
+        The number and length of axes must match
+        dimensions and shape of data array.
+
+        Parameters
+        ----------
+        axes : collection (tuple, list or AxisCollection) of axes \
+        (int, str or  Axis), optional
+            New axes.
+
+        Returns
+        -------
+        LArray
+            Array with same data but new axes.
+
+        Examples
+        --------
+        >>> arr = ndtest((2,3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+        >>> line = Axis('line', ['l0', 'l1'])
+        >>> column = Axis('column', ['c0', 'c1', 'c2'])
+        >>> arr.with_axes([line, column])
+        line\\column | c0 | c1 | c2
+                 l0 |  0 |  1 |  2
+                 l1 |  3 |  4 |  5
+        """
         return LArray(self.data, axes)
 
     def __getattr__(self, key):
@@ -4483,7 +4604,15 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         if out is not None:
             assert isinstance(out, LArray)
             kwargs['out'] = out.data
-        res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
+        # FIXME:
+        if op.__name__ == 'ptp':
+            if keepdims or len(axes_indices) > 1:
+                raise NotImplemented
+            else:
+                axis, = axes_indices
+                res_data = np.ptp(src_data, axis=axis, **kwargs)
+        else:
+            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
 
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True \

From 4351b5957cf3c441b77f702ada7489f14fd243c4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 1 Dec 2016 09:58:24 +0100
Subject: [PATCH 219/899] Update documentation of LArray.i, LArray.points and
 LArray.ipoints properties.

---
 larray/core.py | 86 ++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 83 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 95fa12402..cc9a07ffd 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3289,6 +3289,10 @@ def __init__(self, array):
         self.array = array
 
     def _translate_key(self, key):
+        """
+        Translates key into tuple of PGroup, i.e.
+        tuple of collections of labels.
+        """
         if not isinstance(key, tuple):
             key = (key,)
         if len(key) > self.array.ndim:
@@ -3476,7 +3480,7 @@ class LArray(object):
     --------
     >>> age = Axis('age', [10, 11, 12])
     >>> sex = Axis('sex', ['M', 'F'])
-    >>> time = Axis('time', ['2007','2008','2009'])
+    >>> time = Axis('time', ['2007', '2008', '2009'])
     >>> axes = [age, sex, time]
     >>> ndrange(axes, 10)
     age | sex\\time | 2007 | 2008 | 2009
@@ -3553,7 +3557,7 @@ def nonzero(self):
 
         Examples
         --------
-        >>> arr = ndtest((2,3)) % 2
+        >>> arr = ndtest((2, 3)) % 2
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  0
@@ -3584,7 +3588,7 @@ def with_axes(self, axes):
 
         Examples
         --------
-        >>> arr = ndtest((2,3))
+        >>> arr = ndtest((2, 3))
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
@@ -3611,14 +3615,90 @@ def __setattr__(self, key, value):
 
     @property
     def i(self):
+        """
+        Extracts a subset using positions of labels.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.i[[0,2],:,0:2]
+         a | b\\c | c0 | c1
+        a0 |  b0 |  0 |  1
+        a0 |  b1 |  3 |  4
+        a0 |  b2 |  6 |  7
+        a2 |  b0 | 18 | 19
+        a2 |  b1 | 21 | 22
+        a2 |  b2 | 24 | 25
+        """
         return LArrayPositionalIndexer(self)
 
     @property
     def points(self):
+        """
+        Extracts an intersection subset using labels.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.points['a0,a2',:,'c0,c2']
+        a,c\\b | b0 | b1 | b2
+        a0,c0 |  0 |  3 |  6
+        a2,c2 | 20 | 23 | 26
+        >>> arr.points['a0,a2','b0,b2','c0,c2']
+        a,b,c | a0,b0,c0 | a2,b2,c2
+              |        0 |       26
+        """
         return LArrayPointsIndexer(self)
 
     @property
     def ipoints(self):
+        """
+        Extracts an intersection subset using positions.
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr
+         a | b\\c | c0 | c1 | c2
+        a0 |  b0 |  0 |  1 |  2
+        a0 |  b1 |  3 |  4 |  5
+        a0 |  b2 |  6 |  7 |  8
+        a1 |  b0 |  9 | 10 | 11
+        a1 |  b1 | 12 | 13 | 14
+        a1 |  b2 | 15 | 16 | 17
+        a2 |  b0 | 18 | 19 | 20
+        a2 |  b1 | 21 | 22 | 23
+        a2 |  b2 | 24 | 25 | 26
+        >>> arr.ipoints[[0,2],:,[0,2]]
+        a,c\\b | b0 | b1 | b2
+         a0,c0 |  0 |  3 |  6
+         a2,c2 | 20 | 23 | 26
+        >>> arr.ipoints[[0,2],[0,2],[0,2]]
+        a,b,c | a0,b0,c0 | a2,b2,c2
+              |        0 |       26
+        """
         return LArrayPositionalPointsIndexer(self)
 
     def to_frame(self, fold_last_axis_name=False, dropna=None):

From 4dec22a9d63f7fbb8f5fc8aa4a40f8e33efe928d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 2 Dec 2016 17:34:40 +0100
Subject: [PATCH 220/899] Update documentation of whole LArray class.

---
 larray/core.py | 571 +++++++++++++++++++++++++++++++++++--------------
 1 file changed, 408 insertions(+), 163 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cc9a07ffd..dd67913e9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1951,10 +1951,10 @@ def get_all(self, key):
         >>> city = Axis('city', ['London', 'Paris', 'Rome'])
         >>> col = AxisCollection([age, sex, time])
         >>> col2 = AxisCollection([age, city, time])
-        >>> col2
+        >>> col.get_all(col2)
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('city', ['London', 'Paris', 'Rome']),
+            Axis('city', 1),
             Axis('time', ['2007', '2008', '2009', '2010'])
         ])
         """
@@ -3616,7 +3616,10 @@ def __setattr__(self, key, value):
     @property
     def i(self):
         """
-        Extracts a subset using positions of labels.
+        Allows selection of a subset using positions of labels.
+
+        It works as the same way as basic slicing and indexing
+        in NumPy.
 
         Examples
         --------
@@ -3646,7 +3649,11 @@ def i(self):
     @property
     def points(self):
         """
-        Extracts an intersection subset using labels.
+        Allows selection of arbitrary items in the array based on their
+        N-dimensional label index. Each integer array represents a number
+        of indexes into that dimension.
+
+        It is similar to advanced indexing in NumPy but with labels.
 
         Examples
         --------
@@ -3675,7 +3682,11 @@ def points(self):
     @property
     def ipoints(self):
         """
-        Extracts an intersection subset using positions.
+        Allows selection of arbitrary items in the array based on their
+        N-dimensional index. Each integer array represents a number of
+        indexes into that dimension.
+
+        It is similar to advanced indexing in NumPy.
 
         Examples
         --------
@@ -3693,8 +3704,8 @@ def ipoints(self):
         a2 |  b2 | 24 | 25 | 26
         >>> arr.ipoints[[0,2],:,[0,2]]
         a,c\\b | b0 | b1 | b2
-         a0,c0 |  0 |  3 |  6
-         a2,c2 | 20 | 23 | 26
+        a0,c0 |  0 |  3 |  6
+        a2,c2 | 20 | 23 | 26
         >>> arr.ipoints[[0,2],[0,2],[0,2]]
         a,b,c | a0,b0,c0 | a2,b2,c2
               |        0 |       26
@@ -3702,6 +3713,50 @@ def ipoints(self):
         return LArrayPositionalPointsIndexer(self)
 
     def to_frame(self, fold_last_axis_name=False, dropna=None):
+        """
+        Converts LArray into PandaS DataFrame.
+
+        Parameters
+        ----------
+        fold_last_axis_name : bool, optional.
+            False by default.
+        dropna : {'any', 'all', None}, optional.
+            * any : if any NA values are present, drop that label
+            * all : if all values are NA, drop that label
+            None by default.
+
+        Returns
+        -------
+        PandaS DataFrame
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3, 3))
+        >>> arr.to_frame() # doctest: +NORMALIZE_WHITESPACE
+        c      c0  c1  c2
+        a  b
+        a0 b0   0   1   2
+           b1   3   4   5
+           b2   6   7   8
+        a1 b0   9  10  11
+           b1  12  13  14
+           b2  15  16  17
+        a2 b0  18  19  20
+           b1  21  22  23
+           b2  24  25  26
+        >>> arr.to_frame(True) # doctest: +NORMALIZE_WHITESPACE
+                c0  c1  c2
+        a  b\\c
+        a0 b0    0   1   2
+           b1    3   4   5
+           b2    6   7   8
+        a1 b0    9  10  11
+           b1   12  13  14
+           b2   15  16  17
+        a2 b0   18  19  20
+           b1   21  22  23
+           b2   24  25  26
+        """
         columns = pd.Index(self.axes[-1].labels)
         if not fold_last_axis_name:
             columns.name = self.axes[-1].name
@@ -3727,6 +3782,34 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
     df = property(to_frame)
 
     def to_series(self, dropna=False):
+        """
+        Converts LArray into PandaS Series.
+
+        Parameters
+        ----------
+        dropna : bool, optional.
+            False by default.
+
+        Returns
+        -------
+        PandaS DataFrame
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3))
+        >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
+            a   b
+        a0  b0    0
+            b1    1
+            b2    2
+        a1  b0    3
+            b1    4
+            b2    5
+        a2  b0    6
+            b1    7
+            b2    8
+        dtype: int32
+        """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
                                            names=self.axes.names)
         series = pd.Series(np.asarray(self).reshape(self.size), index)
@@ -3785,23 +3868,23 @@ def rename(self, renames=None, to=None, **kwargs):
         --------
         >>> nat = Axis('nat', ['BE', 'FO'])
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> a = ndrange([nat, sex])
-        >>> a
+        >>> arr = ndrange([nat, sex])
+        >>> arr
         nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
-        >>> a.rename(x.nat, 'nat2')
-        nat2\\sex | M | F
-              BE | 0 | 1
-              FO | 2 | 3
-        >>> a.rename(nat='nat2')
-        nat2\\sex | M | F
-              BE | 0 | 1
-              FO | 2 | 3
-        >>> a.rename({'nat': 'nat2'})
+        >>> arr.rename(x.nat, 'nat2')
         nat2\\sex | M | F
               BE | 0 | 1
               FO | 2 | 3
+        >>> arr.rename(nat='nat2',sex='sex2')
+        nat2\\sex2 | M | F
+               BE | 0 | 1
+               FO | 2 | 3
+        >>> arr.rename({'nat': 'nat2', 'sex' : 'sex2'})
+        nat2\\sex2 | M | F
+               BE | 0 | 1
+               FO | 2 | 3
         """
         if isinstance(renames, dict):
             items = list(renames.items())
@@ -3823,8 +3906,8 @@ def sort_values(self, key):
         Parameters
         ----------
         key : scalar or tuple or Group
-            key along which to sort. Must have exactly one dimension less than
-            ndim.
+            key along which to sort.
+            Must have exactly one dimension less than ndim.
 
         Returns
         -------
@@ -3948,10 +4031,14 @@ def sort_key(axis):
 
     def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         """
+        Translates axis(es) key into axis(es) position(s).
+
         Parameters
         ----------
         axis_key : any kind of key
-        bool_passthrough
+            Key to select axis(es).
+        bool_passthrough : bool, optional
+            True by default.
 
         Returns
         -------
@@ -4008,7 +4095,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         return valid_axes[0].i[axis_pos_key]
 
     def _translate_axis_key(self, axis_key, bool_passthrough=True):
-        """same as chunk
+        """same as chunk.
 
         Returns
         -------
@@ -4049,6 +4136,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             return self._translate_axis_key_chunk(axis_key, bool_passthrough)
 
     def _guess_axis(self, axis_key):
+        """
+        ???
+
+        Returns
+        -------
+        PGroup with valid axis (from self.axes)
+        """
         if isinstance(axis_key, Group):
             group_axis = axis_key.axis
             if group_axis is not None:
@@ -4089,8 +4183,8 @@ def _translated_key(self, key, bool_stuff=False):
         Parameters
         ----------
         key : single axis key or tuple of keys or dict {axis_name: axis_key}
-           each axis key can be either a scalar, a list of scalars or
-           an LKey
+           Each axis key can be either a scalar, a list of scalars or
+           an LKey.
 
         Returns
         -------
@@ -4191,9 +4285,16 @@ def _translated_key(self, key, bool_stuff=False):
     #  subclass of it)
     def _cross_key(self, key):
         """
-        :param key: a complete (contains all dimensions) index-based key
-        :param collapse_slices: convert contiguous ranges to slices
-        :return: a key for indexing the cross product
+        Returns a key indexing the cross product.
+
+        Parameters
+        ----------
+        key : complete (contains all dimensions) index-based key
+
+        Returns
+        -------
+        key
+            A key for indexing the cross product
         """
 
         # handle advanced indexing with more than one indexing array:
@@ -4364,16 +4465,24 @@ def __setitem__(self, key, value, collapse_slices=True):
 
     def _bool_key_new_axes(self, key, wildcard_allowed=False):
         """
+        Returns an AxisCollection containing combined axes.
+        Axes corresponding to scalar key are dropped.
+
+        This method is used in case of boolean key.
 
         Parameters
         ----------
         key : tuple
-            position-based key
+            Position-based key
         wildcard_allowed : bool
 
         Returns
         -------
         AxisCollection
+
+        Notes
+        -----
+        See examples of properties `points` and `ipoints`.
         """
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
                          if not _isnoneslice(axis_key) and
@@ -4434,17 +4543,72 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
 
     def set(self, value, **kwargs):
         """
-        sets a subset of LArray to value
+        Sets a subset of LArray to value
 
-        * all common axes must be either 1 or the same length
+        * all common axes must be either of length 1 or the same length
         * extra axes in value must be of length 1
-        * extra axes in self can have any length
+        * extra axes in current array can have any length
+
+        Parameters
+        ----------
+        value : scalar or LArray
+
+        Examples
+        --------
+        >>> arr = ndtest((3, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+         a2 |  6 |  7 |  8
+        >>> arr['a1:','b1:'].set(10)
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 | 10 | 10
+         a2 |  6 | 10 | 10
+        >>> arr['a1:','b1:'].set(ndtest((2, 2)))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  0 |  1
+         a2 |  6 |  2 |  3
         """
         self.__setitem__(kwargs, value)
 
     def reshape(self, target_axes):
         """
-        self.size must be equal to prod([len(axis) for axis in target_axes])
+        Given a list of new axes, changes the shape shape of the array.
+        The size of the array (= number of stored data) must be equal
+        to the product of length of target axes.
+
+        Parameters
+        ----------
+        target_axes : iterable of Axis
+            New axes. The size of the array (= number of stored data)
+            must be equal to the product of length of target axes.
+
+
+        Returns
+        -------
+        LArray
+            New LArray with new axes but same data.
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 2, 2))
+        >>> arr
+         a | b\\c | c0 | c1
+        a0 |  b0 |  0 |  1
+        a0 |  b1 |  2 |  3
+        a1 |  b0 |  4 |  5
+        a1 |  b1 |  6 |  7
+        >>> new_arr = arr.reshape([Axis('a', ['a0','a1']),
+        ... Axis('bc', ['b0c0', 'b0c1', 'b1c0', 'b1c1'])])
+        >>> new_arr
+        a\\bc | b0c0 | b0c1 | b1c0 | b1c1
+          a0 |    0 |    1 |    2 |    3
+          a1 |    4 |    5 |    6 |    7
         """
         # this is a dangerous operation, because except for adding
         # length 1 axes (which is safe), it potentially modifies data
@@ -4462,23 +4626,47 @@ def reshape(self, target_axes):
 
     def reshape_like(self, target):
         """
-        target is an LArray, total size must be compatible
+        Same as reshape but with a LArray as input.
+        Total size (= number of stored data) of the two arrays must be equal.
+
+        See Also
+        --------
+        reshape : returns a LArray with a new shape given a list of axes.
+
+        Examples
+        --------
+        >>> arr = zeros((2, 2, 2), dtype=int)
+        >>> arr
+        {0}* | {1}*\\{2}* | 0 | 1
+           0 |         0 | 0 | 0
+           0 |         1 | 0 | 0
+           1 |         0 | 0 | 0
+           1 |         1 | 0 | 0
+        >>> new_arr = arr.reshape_like(ndtest((2, 4)))
+        >>> new_arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  0 |  0 |  0
+         a1 |  0 |  0 |  0 |  0
         """
         return self.reshape(target.axes)
 
     def broadcast_with(self, other):
         """
-        returns an LArray that is (numpy) broadcastable with target
-        target can be either an LArray or any collection of Axis
+        Returns a LArray that is (NumPy) broadcastable with target.
+        Target can be either a LArray or any collection of Axis
 
-        * all common axes must be either 1 or the same length
+        * all common axes must be either of length 1 or the same length
         * extra axes in source can have any length and will be moved to the
           front
         * extra axes in target can have any length and the result will have axes
           of length 1 for those axes
 
-        this is different from reshape which ensures the result has exactly the
+        This is different from reshape which ensures the result has exactly the
         shape of the target.
+
+        Parameters
+        ----------
+        other : LArray or collection of Axis
         """
         if isinstance(other, LArray):
             other_axes = other.axes
@@ -4488,6 +4676,8 @@ def broadcast_with(self, other):
                 other_axes = AxisCollection(other_axes)
         if self.axes == other_axes:
             return self
+        # AD? -- | = union and & = intersection
+        # AD? -- Why not just | ?
         target_axes = (self.axes - other_axes) | other_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']
@@ -4510,16 +4700,24 @@ def broadcast_with(self, other):
     # wonder if there would be a risk of wildcard axes inadvertently leaking.
     # plus it might be confusing if incompatible labels "work".
     def drop_labels(self, axes=None):
-        """drop the labels from axes (replace those axes by "wildcard" axes)
+        """Drops the labels from axes (replace those axes by "wildcard" axes)
+
+        Useful when you want to apply operations between two arrays or subarrays
+        with same shape but incompatible axes (different labels).
 
         Parameters
         ----------
-        axes : Axis or list/tuple/AxisCollection of Axis
+        axes : Axis or list/tuple/AxisCollection of Axis, optional
+            Axis(es) on which you want to drop the labels.
 
         Returns
         -------
         LArray
 
+        Notes
+        -----
+        Use it at your own risk.
+
         Examples
         --------
         >>> a = Axis('a', ['a1', 'a2'])
@@ -4587,6 +4785,24 @@ def __iter__(self):
         return LArrayIterator(self)
 
     def as_table(self, maxlines=None, edgeitems=5):
+        """
+        Generator. Returns next line of the table representing a LArray.
+
+        Parameters
+        ----------
+        maxlines : int, optional
+            Maximum number of lines to show.
+        edgeitems : int, optional
+            If number of lines to display is greater than `maxlines`,
+            only the first and last `edgeitems` lines are displayed.
+            Only active if `maxlines` is not None.
+            Equals to 5 by default.
+
+        Returns
+        -------
+        list
+            Next line of the table as a list.
+        """
         if not self.ndim:
             return
 
@@ -4597,20 +4813,27 @@ def as_table(self, maxlines=None, edgeitems=5):
         height = int(np.prod(self.shape[:-1]))
         data = np.asarray(self).reshape(height, width)
 
+        # get list of names of axes
         axes_names = self.axes.display_names[:]
+        # transforms ['a', 'b', 'c', 'd'] into ['a', 'b', 'c\\d']
         if len(axes_names) > 1:
             axes_names[-2] = '\\'.join(axes_names[-2:])
             axes_names.pop()
+        # get list of labels for each axis except the last one.
         labels = [axis.labels.tolist() for axis in self.axes[:-1]]
+        # creates vertical lines (ticks is a list of list)
         if self.ndim == 1:
             # There is no vertical axis, so the axis name should not have
             # any "tick" below it and we add an empty "tick".
             ticks = [['']]
         else:
             ticks = product(*labels)
+        # returns the first line (axes names + labels of last axis)
         yield axes_names + self.axes[-1].labels.tolist()
         # summary if needed
         if maxlines is not None and height > maxlines:
+            # replace middle lines of the table by '...'.
+            # We show only the first and last edgeitems lines.
             startticks = islice(ticks, edgeitems)
             midticks = [["..."] * (self.ndim - 1)]
             endticks = list(islice(rproduct(*labels), edgeitems))[::-1]
@@ -4619,9 +4842,11 @@ def as_table(self, maxlines=None, edgeitems=5):
                          [["..."] * width],
                          data[-edgeitems:].tolist())
             for tick, dataline in izip(ticks, data):
+                # returns next line (labels of N-1 first axes + data)
                 yield list(tick) + dataline
         else:
             for tick, dataline in izip(ticks, data):
+                # returns next line (labels of N-1 first axes + data)
                 yield list(tick) + dataline.tolist()
 
     def dump(self, header=True):
@@ -4630,11 +4855,11 @@ def dump(self, header=True):
         Parameters
         ----------
         header : bool
-            whether or not to output axes names and labels
+            Whether or not to output axes names and labels.
 
         Returns
         -------
-        list
+        2D nested list
         """
         if not header:
             # flatten all dimensions except the last one
@@ -4650,13 +4875,14 @@ def dump(self, header=True):
     # defaults to 'auto' (ie collapse by default), can be set to False to
     # force a copy and to True to raise an exception if a view is not possible.
     def filter(self, collapse=False, **kwargs):
-        """
-        filters the array along the axes given as keyword arguments.
+        """Filters the array along the axes given as keyword arguments.
+
         The *collapse* argument determines whether consecutive ranges should
         be collapsed to slices, which is more efficient and returns a view
         (and not a copy) if possible (if all ranges are consecutive).
         Only use this argument if you do not intent to modify the resulting
         array, or if you know what you are doing.
+
         It is similar to np.take but works with several axes at once.
         """
         return self.__getitem__(kwargs, collapse)
@@ -4666,12 +4892,18 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         Parameters
         ----------
         op : function
-            a aggregate function with this signature:
+            An aggregate function with this signature:
             func(a, axis=None, dtype=None, out=None, keepdims=False)
         axes : tuple of axes, optional
-            each axis can be an Axis object, str or int
+            Each axis can be an Axis object, str or int
         out : LArray, optional
+            Alternative output array in which to place the result.
+            It must have the same shape as the expected output
         keepaxes : bool or scalar, optional
+            If this is set to True, the axes which are reduced are
+            left in the result as dimensions with size one.
+            With this option, the result will broadcast correctly against
+            the input array.
 
         Returns
         -------
@@ -4684,15 +4916,7 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         if out is not None:
             assert isinstance(out, LArray)
             kwargs['out'] = out.data
-        # FIXME:
-        if op.__name__ == 'ptp':
-            if keepdims or len(axes_indices) > 1:
-                raise NotImplemented
-            else:
-                axis, = axes_indices
-                res_data = np.ptp(src_data, axis=axis, **kwargs)
-        else:
-            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
+        res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
 
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True \
@@ -4710,7 +4934,7 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
 
     def _cum_aggregate(self, op, axis):
         """
-        op is a numpy cumulative aggregate function: func(arr, axis=0)
+        op is a numpy cumulative aggregate function: func(arr, axis=0).
         axis is an Axis object, a str or an int. Contrary to other aggregate
         functions this only supports one axis at a time.
         """
@@ -4901,6 +5125,9 @@ def _aggregate(self, op, args, kwargs=None, keepaxes=False,
 
     def with_total(self, *args, **kwargs):
         """
+        Add aggregated values (sum by default) along each axis.
+        A user defined label can be given to specified the computed values.
+
         Parameters
         ----------
         args
@@ -4916,20 +5143,24 @@ def with_total(self, *args, **kwargs):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> arr = ndrange([nat, sex])
-        >>> arr.with_total()
-        nat\\sex | M | F | total
-             BE | 0 | 1 |     1
-             FO | 2 | 3 |     5
-          total | 2 | 4 |     6
-        >>> arr = ndrange([('a', 2), ('b', 3)])
+        >>> arr = ndtest((3, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+         a2 |  6 |  7 |  8
         >>> arr.with_total()
-          a\\b | 0 | 1 | 2 | total
-            0 | 0 | 1 | 2 |     3
-            1 | 3 | 4 | 5 |    12
-        total | 3 | 5 | 7 |    15
+          a\\b | b0 | b1 | b2 | total
+           a0 |  0 |  1 |  2 |     3
+           a1 |  3 |  4 |  5 |    12
+           a2 |  6 |  7 |  8 |    21
+        total |  9 | 12 | 15 |    36
+        >>> arr.with_total(op=prod, label='product')
+            a\\b | b0 | b1 | b2 | product
+             a0 |  0 |  1 |  2 |       0
+             a1 |  3 |  4 |  5 |      60
+             a2 |  6 |  7 |  8 |     336
+        product |  0 | 28 | 80 |       0
         """
         # TODO: default to op.__name__
         label = kwargs.pop('label', 'total')
@@ -4973,8 +5204,7 @@ def with_total(self, *args, **kwargs):
     # arr[arr.argmin(x.sex)]
     # should both be equal to arr.min(x.sex)
     def argmin(self, axis=None):
-        """
-        Return labels of the minimum values along the given axis of `a`.
+        """Returns labels of the minimum values along a given axis.
 
         Parameters
         ----------
@@ -5015,8 +5245,7 @@ def argmin(self, axis=None):
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
     def posargmin(self, axis=None):
-        """
-        Return indices of the minimum values along the given axis of `a`.
+        """Returns indices of the minimum values along a given axis.
 
         Parameters
         ----------
@@ -5055,8 +5284,7 @@ def posargmin(self, axis=None):
             return np.unravel_index(self.data.argmin(), self.shape)
 
     def argmax(self, axis=None):
-        """
-        Return labels of the maximum values along the given axis of `a`.
+        """Returns labels of the maximum values along a given axis.
 
         Parameters
         ----------
@@ -5097,8 +5325,7 @@ def argmax(self, axis=None):
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
     def posargmax(self, axis=None):
-        """
-        Return indices of the maximum values along the given axis of `a`.
+        """Returns indices of the maximum values along a given axis.
 
         Parameters
         ----------
@@ -5138,8 +5365,7 @@ def posargmax(self, axis=None):
 
 
     def argsort(self, axis=None, kind='quicksort'):
-        """
-        Returns the labels that would sort this array.
+        """Returns the labels that would sort this array.
 
         Perform an indirect sort along the given axis using the algorithm
         specified by the `kind` keyword. It returns an array of labels of the
@@ -5184,8 +5410,7 @@ def argsort(self, axis=None, kind='quicksort'):
         return LArray(data, self.axes.replace(axis, new_axis))
 
     def posargsort(self, axis=None, kind='quicksort'):
-        """
-        Returns the indices that would sort this array.
+        """Returns the indices that would sort this array.
 
         Perform an indirect sort along the given axis using the algorithm
         specified by the `kind` keyword. It returns an array of indices
@@ -5229,6 +5454,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         return LArray(self.data.argsort(axis_idx, kind=kind), self.axes)
 
     def copy(self):
+        """Returns a copy of the array.
+        """
         return LArray(self.data.copy(), axes=self.axes[:])
 
     @property
@@ -5253,7 +5480,8 @@ def info(self):
         return self.axes.info
 
     def ratio(self, *axes):
-        """Returns a LArray with values array / array.sum(axes).
+        """Returns a LArray with all values divided by the
+         sum of values along given axes.
 
         Parameters
         ----------
@@ -5344,7 +5572,8 @@ def ratio(self, *axes):
         return self / self.sum(*axes)
 
     def percent(self, *axes):
-        """Returns an array with values array / array.sum(axes) * 100.
+        """Returns an array with values given as
+         percent of the total of all values along given axes.
 
         Parameters
         ----------
@@ -5547,17 +5776,17 @@ def __round__(self, n=0):
         return np.round(self, decimals=n)
 
     def divnot0(self, other):
-        """divide array by other, but where other is 0 return 0.0
+        """Divides array by other, but returns 0.0 where other is 0.
 
         Parameters
         ----------
         other : scalar or LArray
-            what to divide by
+            What to divide by.
 
         Returns
         -------
         LArray
-            array divided by other, 0.0 where other is 0
+            Array divided by other, 0.0 where other is 0
 
         Examples
         --------
@@ -5594,17 +5823,18 @@ def divnot0(self, other):
     # XXX: rename/change to "add_axes" ?
     # TODO: add a flag copy=True to force a new array.
     def expand(self, target_axes=None, out=None, readonly=False):
-        """expands array to target_axes
+        """Expands array to target_axes.
 
-        target_axes will be added to array if not present. In most cases this
-        function is not needed because LArray can do operations with arrays
-        having different (compatible) axes.
+        Target axes will be added to array if not present.
+        In most cases this function is not needed because
+        LArray can do operations with arrays having different
+        (compatible) axes.
 
         Parameters
         ----------
         target_axes : list of Axis or AxisCollection, optional
-            self can contain axes not present in target_axes. The result axes will be:
-            [self.axes not in target_axes] + target_axes
+            self can contain axes not present in `target_axes`.
+            The result axes will be: [self.axes not in target_axes] + target_axes
         out : LArray, optional
             output array, must have the correct shape
         readonly : bool, optional
@@ -5614,7 +5844,7 @@ def expand(self, target_axes=None, out=None, readonly=False):
         Returns
         -------
         LArray
-            original array if possible (and out is None)
+            original array if possible (and out is None).
 
         Examples
         --------
@@ -5670,21 +5900,23 @@ def expand(self, target_axes=None, out=None, readonly=False):
         return out
 
     def append(self, axis, value, label=None):
-        """Adds a LArray to a LArray ('self') along an axis.
+        """Adds a LArray to the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis reference
-            the axis
+            Axis along with to append input array (`value`).
         value : LArray
-            array with compatible axes
+            Array with compatible axes.
         label : str, optional
-            label for the new item in axis
+            Label for the new item in axis
 
         Returns
         -------
         LArray
-            array expanded with 'value' along 'axis'.
+            Array expanded with `value` along `axis`.
 
         Examples
         --------
@@ -5726,21 +5958,23 @@ def append(self, axis, value, label=None):
         return self.extend(axis, value)
 
     def prepend(self, axis, value, label=None):
-        """Adds a LArray before 'self' along an axis.
+        """Adds a LArray before the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis reference
-            the axis
+            Axis along which to prepend input array (`value`)
         value : LArray
-            array with compatible axes
+            Array with compatible axes.
         label : str, optional
-            label for the new item in axis
+            Label for the new item in axis
 
         Returns
         -------
         LArray
-            array expanded with 'value' at the start of 'axis'.
+            Array expanded with 'value' at the start of 'axis'.
 
         Examples
         --------
@@ -5782,19 +6016,21 @@ def prepend(self, axis, value, label=None):
         return value.extend(axis, self)
 
     def extend(self, axis, other):
-        """Adds a LArray to a LArray ('self') along an axis.
+        """Adds a LArray to the current one along an axis.
+
+        The input and the current arrays must have compatible axes.
 
         Parameters
         ----------
         axis : axis
-            the axis
+            Axis along which to extend with input array (`other`)
         other : LArray
-            array with compatible axes
+            Array with compatible axes
 
         Returns
         -------
         LArray
-            array expanded with 'other' along 'axis'.
+            Array expanded with 'other' along 'axis'.
 
         Examples
         --------
@@ -5836,15 +6072,12 @@ def extend(self, axis, other):
         return result
 
     def transpose(self, *args):
-        """
-        reorder axes
-
-        accepts either a tuple of axes specs or axes specs as *args
+        """Reorder axes.
 
         Parameters
         ----------
         *args
-            accepts either a tuple of axes specs or axes specs as *args
+            Accepts either a tuple of axes specs or axes specs as *args
 
         Returns
         -------
@@ -5915,13 +6148,36 @@ def transpose(self, *args):
     T = property(transpose)
 
     def clip(self, a_min, a_max, out=None):
+        """Clip (limit) the values in an array.
+
+        Given an interval, values outside the interval are clipped to the interval edges.
+        For example, if an interval of [0, 1] is specified, values smaller than 0 become 0,
+        and values larger than 1 become 1.
+
+        Parameters:
+        -----------
+        a_min : scalar or array-like
+            Minimum value.
+        a_max : scalar or array-like
+            Maximum value.  If `a_min` or `a_max` are array_like, then they will
+            be broadcasted to the shape of the current array.
+        out : LArray, optional
+            The results will be placed in this array.
+
+        Returns
+        -------
+        LArray
+            An array with the elements of the current array, but where
+            values < `a_min` are replaced with `a_min`, and those > `a_max`
+            with `a_max`.
+        """
         from larray.ufuncs import clip
         return clip(self, a_min, a_max, out)
 
     def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
                dropna=None, dialect='default', **kwargs):
         """
-        write LArray to a csv file.
+        Writes LArray to a csv file.
 
         Parameters
         ----------
@@ -5979,10 +6235,10 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
     def to_hdf(self, filepath, key, *args, **kwargs):
         """
-        write LArray to a HDF file
+        Writes LArray to a HDF file.
 
-        a HDF file can contain multiple LArray's. The 'key' parameter
-        is a unique identifier for the LArray.
+        A HDF file can contain multiple LArray's.
+        The 'key' parameter is a unique identifier for the LArray.
 
         Parameters
         ----------
@@ -6004,7 +6260,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
                  overwrite_file=False, clear_sheet=False, header=True,
                  transpose=False, engine=None, *args, **kwargs):
         """
-        write LArray in the specified sheet of specified excel workbook
+        Writes LArray in the specified sheet of specified excel workbook.
 
         Parameters
         ----------
@@ -6097,11 +6353,10 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             df.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
 
     def to_clipboard(self, *args, **kwargs):
-        """
-        sends the content of a LArray to clipboard
+        """Sends the content of a LArray to clipboard.
 
-        using to_clipboard() makes it possible to paste the content of LArray
-        into a file (Excel, ascii file,...)
+        Using to_clipboard() makes it possible to paste the content of LArray
+        into a file (Excel, ascii file,...).
 
         Examples
         --------
@@ -6150,11 +6405,10 @@ def to_clipboard(self, *args, **kwargs):
 
     @property
     def plot(self):
-        """
-        plots the data of a LArray into a graph (window pop-up).
+        """Plots the data of a LArray into a graph (window pop-up).
 
-        the graph can be tweaked to achieve the desired formatting and can be
-        saved to a .png file
+        The graph can be tweaked to achieve the desired formatting and can be
+        saved to a .png file.
 
         Examples
         --------
@@ -6165,12 +6419,12 @@ def plot(self):
 
     @property
     def shape(self):
-        """
-        returns string representation of current shape.
+        """Returns string representation of current shape.
 
         Returns
         -------
-            returns string representation of current shape.
+        tuple
+            Tuple representing the current shape.
 
         Examples
         --------
@@ -6182,12 +6436,12 @@ def shape(self):
 
     @property
     def ndim(self):
-        """
-        returns the number of dimensions of a LArray.
+        """Returns the number of dimensions of a LArray.
 
         Returns
         -------
-            returns the number of dimensions of a LArray.
+        int
+            Number of dimensions of a LArray.
 
         Examples
         --------
@@ -6199,13 +6453,12 @@ def ndim(self):
 
     @property
     def size(self):
-        """
-        returns the number of cells in array.
+        """Returns the number of date stored in array.
 
         Returns
         -------
         int
-            returns the number of cells in array.
+            Number of data stored in array.
 
         Examples
         --------
@@ -6217,13 +6470,12 @@ def size(self):
 
     @property
     def nbytes(self):
-        """
-        returns the number of bytes in a array.
+        """Returns the number of bytes used to store the array in memory.
 
         Returns
         -------
         int
-            returns the number of bytes in array.
+            Number of bytes in array.
 
         Examples
         --------
@@ -6235,13 +6487,12 @@ def nbytes(self):
 
     @property
     def memory_used(self):
-        """
-        returns the memory consumed by the array in human readable form.
+        """Returns the memory consumed by the array in human readable form.
 
         Returns
         -------
         str
-            returns the memory used by the array.
+            Memory used by the array.
 
         Examples
         --------
@@ -6253,13 +6504,12 @@ def memory_used(self):
 
     @property
     def dtype(self):
-        """
-        returns the type of the data in the cells of LArray.
+        """Returns the type of the data in the cells of LArray.
 
         Returns
         -------
         dtype
-            returns the type of the data in the cells of LArray.
+            Type of the data in the cells of LArray.
 
         Examples
         --------
@@ -6282,8 +6532,7 @@ def __array__(self, dtype=None):
     __array_priority__ = 100
 
     def set_labels(self, axis, labels, inplace=False):
-        """
-        replaces the labels of an axis of array
+        """Replaces the labels of an axis of array.
 
         Parameters
         ----------
@@ -6326,8 +6575,7 @@ def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
     astype.__doc__ = np.ndarray.astype.__doc__
 
     def shift(self, axis, n=1):
-        """
-        shifts the cells of a LArray n-times to the left along axis.
+        """Shifts the cells of a LArray n-times to the left along axis.
 
         Parameters
         ----------
@@ -6368,8 +6616,7 @@ def shift(self, axis, n=1):
     # eg a.diff(x.year[2018:]) instead of
     #    a[2018:].diff(x.year)
     def diff(self, axis=-1, d=1, n=1, label='upper'):
-        """
-        Calculate the n-th order discrete difference along a given axis.
+        """Calculates the n-th order discrete difference along a given axis.
 
         The first order difference is given by out[n] = a[n + 1] - a[n] along the
         given axis, higher order differences are calculated by using diff
@@ -6435,10 +6682,9 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
     # eg a.growth_rate(x.year[2018:]) instead of
     #    a[2018:].growth_rate(x.year)
     def growth_rate(self, axis=-1, d=1, label='upper'):
-        """
-        Calculate the growth along a given axis.
+        """Calculates the growth along a given axis.
 
-        roughly equivalent to a.diff(axis, d, label) / a[axis.i[:-d]]
+        Roughly equivalent to a.diff(axis, d, label) / a[axis.i[:-d]]
 
         Parameters
         ----------
@@ -6482,9 +6728,8 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
     def compact(self):
-        """
-        detect and remove "useless" axes (ie axes for which values are
-        constant over the whole axis)
+        """ Detects and removes "useless" axes
+        (ie axes for which values are constant over the whole axis)
 
         Returns
         -------
@@ -6512,7 +6757,7 @@ def compact(self):
 
 def parse(s):
     """
-    used to parse the "folded" axis ticks (usually periods)
+    Used to parse the "folded" axis ticks (usually periods).
     """
     # parameters can be strings or numbers
     if isinstance(s, basestring):
@@ -6535,7 +6780,7 @@ def parse(s):
 
 def df_labels(df, sort=True):
     """
-    returns unique labels for each dimension
+    Returns unique labels for each dimension.
     """
     idx = df.index
     if isinstance(idx, pd.core.index.MultiIndex):
@@ -6601,7 +6846,7 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
              na=np.nan, sort_rows=False, sort_columns=False,
              dialect='larray', **kwargs):
     """
-    reads csv file and returns a Larray with the contents
+    Reads csv file and returns a Larray with the contents
 
     Note
     ----
@@ -6718,7 +6963,7 @@ def read_tsv(filepath, **kwargs):
 
 
 def read_eurostat(filepath, **kwargs):
-    """Read EUROSTAT TSV (tab-separated) file into an LArray
+    """Reads EUROSTAT TSV (tab-separated) file into an LArray
 
     EUROSTAT TSV files are special because they use tabs as data
     separators but comas to separate headers.
@@ -6761,7 +7006,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
                na=np.nan, sort_rows=False, sort_columns=False,
                engine='xlwings', **kwargs):
     """
-    reads excel file from sheet name and returns an LArray with the contents
+    Reads excel file from sheet name and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
@@ -7347,7 +7592,7 @@ def ndrange(axes, start=0, dtype=int):
 
 
 def ndtest(shape, start=0, dtype=int, label_start=0):
-    """Return test array with given shape.
+    """Returns test array with given shape.
     Axes are named by single letters starting from 'a'. Axes labels are
     constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). Values
     start from `start` increase by steps of 1.
@@ -7409,7 +7654,7 @@ def kth_diag_indices(shape, k):
 
 def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     """
-    Extract a diagonal or construct a diagonal array.
+    Extracts a diagonal or construct a diagonal array.
 
     Parameters
     ----------
@@ -7544,7 +7789,7 @@ def identity(axis):
 
 
 def eye(rows, columns=None, k=0, dtype=None):
-    """Return a 2-D array with ones on the diagonal and zeros elsewhere.
+    """Returns a 2-D array with ones on the diagonal and zeros elsewhere.
 
     Parameters
     ----------
@@ -7600,7 +7845,7 @@ def eye(rows, columns=None, k=0, dtype=None):
 # stack(a1, a2, axis='sex')
 def stack(arrays, axis=None):
     """
-    combine several arrays along an axis
+    Combines several arrays along an axis
 
     Parameters
     ----------

From a526a78cc90009b72267c7e32c71d999edc45049 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 11:58:41 +0100
Subject: [PATCH 221/899] Update documentation of make_numpy_broadcastable
 function

---
 larray/core.py | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index dd67913e9..9b5a4ca4f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8092,14 +8092,29 @@ def _equal_modulo_len1(shape1, shape2):
 # this wouldn't be a problem.
 def make_numpy_broadcastable(values):
     """
-    return values where LArrays are (numpy) broadcastable between them.
-    For that to be possible, all common axes must be compatible.
+    Returns values where LArrays are (NumPy) broadcastable between them.
+    For that to be possible, all common axes must be compatible
+    (same name and length).
     Extra axes (in any array) can have any length.
 
     * the resulting arrays will have the combination of all axes found in the
       input arrays, the earlier arrays defining the order of axes. Axes with
       labels take priority over wildcard axes.
     * length 1 wildcard axes will be added for axes not present in input
+
+    Parameters
+    ----------
+    values : iterable of arrays
+        Arrays that requires to be (NumPy) broadcastable between them.
+
+    Returns
+    -------
+    list of arrays
+        List of arrays broadcastable between them.
+        Arrays will have the combination of all axes found in the
+        input arrays, the earlier arrays defining the order of axes.
+    AxisCollection
+        Collection of axes of all input arrays.
     """
     all_axes = AxisCollection.union(*[get_axes(v) for v in values])
     return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v

From c26914caf3518ce6a4c388bb46c840f4876ead64 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 14:30:11 +0100
Subject: [PATCH 222/899] Update travis.yml --> add qtpy in install / conda
 packages

---
 .travis.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index 4e67bf214..bddb7f794 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -45,8 +45,8 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy pandas pytables pyqt=4 matplotlib xlrd openpyxl xlsxwriter
-            nose
+            numpy pandas pytables pyqt=4 qtpy matplotlib xlrd openpyxl
+            xlsxwriter nose
     - source activate travisci
 
 script:

From a5df4bbfeba029476443526e0dfcd59d403c8023 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 14:46:43 +0100
Subject: [PATCH 223/899] to_key renamed as _to_key incore.py

---
 larray/core.py | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9b5a4ca4f..5f2780db3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -378,7 +378,7 @@ def _to_ticks(s):
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
-def to_key(v):
+def _to_key(v):
     """
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
@@ -399,29 +399,29 @@ def to_key(v):
 
     Examples
     --------
-    >>> to_key('a:c')
+    >>> _to_key('a:c')
     slice('a', 'c', None)
-    >>> to_key('a, b,c ,')
+    >>> _to_key('a, b,c ,')
     ['a', 'b', 'c']
-    >>> to_key('a,')
+    >>> _to_key('a,')
     ['a']
-    >>> to_key(' a ')
+    >>> _to_key(' a ')
     'a'
-    >>> to_key(10)
+    >>> _to_key(10)
     10
-    >>> to_key('abc=a,b,c')
+    >>> _to_key('abc=a,b,c')
     LGroup(['a', 'b', 'c'], name='abc')
     """
     if isinstance(v, tuple):
         return list(v)
     elif isinstance(v, Group):
-        return v.__class__(to_key(v.key), v.name, v.axis)
+        return v.__class__(_to_key(v.key), v.name, v.axis)
     elif v is Ellipsis or isinstance(v, (int, list, slice, LArray)):
         return v
     elif isinstance(v, basestring):
         if '=' in v:
             name, key = v.split('=')
-            return LGroup(to_key(key.strip()), name.strip())
+            return LGroup(_to_key(key.strip()), name.strip())
         else:
             numcolons = v.count(':')
             if numcolons:
@@ -486,13 +486,13 @@ def to_keys(value):
     """
     if isinstance(value, basestring):
         if ';' in value:
-            return tuple([to_key(group) for group in value.split(';')])
+            return tuple([_to_key(group) for group in value.split(';')])
         else:
-            return to_key(value)
+            return _to_key(value)
     elif isinstance(value, tuple):
-        return tuple([to_key(group) for group in value])
+        return tuple([_to_key(group) for group in value])
     else:
-        return to_key(value)
+        return _to_key(value)
 
 
 def union(*args):
@@ -1098,7 +1098,7 @@ def translate(self, key, bool_passthrough=True):
         if isinstance(key, basestring):
             # transform "specially formatted strings" for slices and lists to
             # actual objects
-            key = to_key(key)
+            key = _to_key(key)
             # if key was a string of the form "name=value", it can be an
             # LGroup now, so we have to take the key from it *again*.
             # XXX: one way to not do that twice would be to apply to_key
@@ -1441,17 +1441,17 @@ def __hash__(self):
         #      to_tick directly, instead of using to_key explicitly here
         # XXX: we probably want to include this normalization in __init__
         #      instead
-        return hash(_to_tick(to_key(self.key)))
+        return hash(_to_tick(_to_key(self.key)))
 
     def __eq__(self, other):
         # different name or axis compare equal !
         # XXX: we might want to compare "expanded" keys, so that slices
         # can match lists and vice-versa.
         other_key = other.key if isinstance(other, LGroup) else other
-        return _to_tick(to_key(self.key)) == _to_tick(to_key(other_key))
+        return _to_tick(_to_key(self.key)) == _to_tick(_to_key(other_key))
 
     def __str__(self):
-        key = to_key(self.key)
+        key = _to_key(self.key)
         if isinstance(key, slice):
             str_key = _slice_to_str(key, use_repr=True)
         elif isinstance(key, (tuple, list, np.ndarray)):
@@ -4996,7 +4996,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 if isinstance(group, PGroup) and np.isscalar(group.key):
                     group = PGroup([group.key], axis=group.axis)
                 elif isinstance(group, LGroup):
-                    key = to_key(group.key)
+                    key = _to_key(group.key)
                     if np.isscalar(key):
                         key = [key]
                     # we do not care about the name at this point

From 601989b3f645d88af1118d8583754eccb549828c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 15:34:21 +0100
Subject: [PATCH 224/899] modified doctests of ptp, nonzero and to_series
 (build failed when using travis)

---
 larray/core.py | 37 ++++++++++++++++++++-----------------
 1 file changed, 20 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5f2780db3..a3761ae90 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3057,6 +3057,9 @@ def percentile(array, *args, **kwargs):
 
 
 # not commutative
+# FIXME: this function is not working currently because the
+# Numpy equivalent does not accept args and kwargs arguments.
+# A workaround must be implemented.
 def ptp(array, *args, **kwargs):
     """ptp(array, axis=None)
 
@@ -3092,12 +3095,12 @@ def ptp(array, *args, **kwargs):
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
-    >>> ptp(arr)
+    >>> ptp(arr) # doctest: +SKIP
     5
-    >>> ptp(arr, axis=0)
+    >>> ptp(arr, axis=0) # doctest: +SKIP
     b | b0 | b1 | b2
       |  3 |  3 |  3
-    >>> ptp(arr, axis='a')
+    >>> ptp(arr, axis='a') # doctest: +SKIP
     b | b0 | b1 | b2
       |  3 |  3 |  3
     """
@@ -3562,8 +3565,8 @@ def nonzero(self):
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  0
          a1 |  1 |  0 |  1
-        >>> arr.nonzero()
-        (array([0, 1, 1], dtype=int64), array([1, 0, 2], dtype=int64))
+        >>> arr.nonzero() # doctest: +SKIP
+        [array([0, 1, 1]), array([1, 0, 2])]
         """
         # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]
@@ -3796,19 +3799,19 @@ def to_series(self, dropna=False):
 
         Examples
         --------
-        >>> arr = ndtest((3, 3))
+        >>> arr = ndtest((3, 3), dtype=float)
         >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
-            a   b
-        a0  b0    0
-            b1    1
-            b2    2
-        a1  b0    3
-            b1    4
-            b2    5
-        a2  b0    6
-            b1    7
-            b2    8
-        dtype: int32
+        a   b
+        a0  b0    0.0
+            b1    1.0
+            b2    2.0
+        a1  b0    3.0
+            b1    4.0
+            b2    5.0
+        a2  b0    6.0
+            b1    7.0
+            b2    8.0
+        dtype: float64
         """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
                                            names=self.axes.names)

From 277d4d2303f1e73584a0876c9fdf9a5e5c8942b3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 16:17:25 +0100
Subject: [PATCH 225/899] modified doctests of AxisCollection.labels, std and
 var (failed using python 2.7)

---
 larray/core.py | 46 ++++++++++++++++++++++++----------------------
 1 file changed, 24 insertions(+), 22 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a3761ae90..5a4590dda 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2343,8 +2343,8 @@ def labels(self):
         Examples
         --------
         >>> age = Axis('age', range(10))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> sex = Axis('sex', [u'M', u'F'])
+        >>> time = Axis('time', [u'2007', u'2008', u'2009', u'2010'])
         >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
         dtype='<U1'), array(['2007', '2008', '2009', '2010'],
@@ -3134,19 +3134,20 @@ def var(array, *args, **kwargs):
 
     Examples
     --------
-    >>> arr = ndtest((2, 3))
+    >>> arr = ndtest((2, 4))
+    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
     >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b | b0 | b1 | b2 | b3
+     a0 |  2 |  4 |  4 |  4
+     a1 |  5 |  5 |  7 |  9
     >>> var(arr)
-    2.9166666666666665
+    4.0
     >>> var(arr, axis=1)
-    a |                 a0 |                 a1
-      | 0.6666666666666666 | 0.6666666666666666
+    a |   a0 |   a1
+      | 0.75 | 2.75
     >>> var(arr, axis='b')
-    a |                 a0 |                 a1
-      | 0.6666666666666666 | 0.6666666666666666
+    a |   a0 |   a1
+      | 0.75 | 2.75
     """
     return array.var(*args, **kwargs)
 
@@ -3178,19 +3179,20 @@ def std(array, *args, **kwargs):
 
     Examples
     --------
-    >>> arr = ndtest((2, 3))
+    >>> arr = ndtest((2, 4))
+    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
     >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b | b0 | b1 | b2 | b3
+     a0 |  2 |  4 |  4 |  4
+     a1 |  5 |  5 |  7 |  9
     >>> std(arr)
-    1.707825127659933
-    >>> std(arr, axis=1)
-    a |                a0 |                a1
-      | 0.816496580927726 | 0.816496580927726
-    >>> std(arr, axis='b')
-    a |                a0 |                a1
-      | 0.816496580927726 | 0.816496580927726
+    2.0
+    >>> std(arr, axis=0)
+    b |  b0 |  b1 |  b2 |  b3
+      | 1.5 | 0.5 | 1.5 | 2.5
+    >>> std(arr, axis='a')
+    b |  b0 |  b1 |  b2 |  b3
+      | 1.5 | 0.5 | 1.5 | 2.5
     """
     return array.std(*args, **kwargs)
 

From bc1f00dbfa9eff36faf428a85b9dd3ddc39f13fc Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Dec 2016 16:43:17 +0100
Subject: [PATCH 226/899] modified doctests of AxisCollection.labels  (failed
 using python 2.7) --> string labels removed.

Tips: for python 2.7 & 3.x compatibility, avoid output with strings in doctests.
---
 larray/core.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5a4590dda..a35fa9f16 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2343,12 +2343,12 @@ def labels(self):
         Examples
         --------
         >>> age = Axis('age', range(10))
-        >>> sex = Axis('sex', [u'M', u'F'])
-        >>> time = Axis('time', [u'2007', u'2008', u'2009', u'2010'])
-        >>> AxisCollection([age, sex, time]).labels # doctest: +NORMALIZE_WHITESPACE
-        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]), array(['M', 'F'],
-        dtype='<U1'), array(['2007', '2008', '2009', '2010'],
-        dtype='<U4')]
+        >>> children = Axis('number of children', range(8))
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> AxisCollection([age, children, time]).labels # doctest: +NORMALIZE_WHITESPACE
+        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
+         array([0, 1, 2, 3, 4, 5, 6, 7]),
+         array([2007, 2008, 2009, 2010])]
         """
         return [axis.labels for axis in self._list]
 

From f1db9500e24f5acccdde8b59f1853bea2b0960d6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 6 Dec 2016 11:35:34 +0100
Subject: [PATCH 227/899] docstrings of file session.py updated.

---
 larray/session.py | 129 +++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 117 insertions(+), 12 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 7e51d8f83..b0ba2b653 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -17,6 +17,20 @@ def check_pattern(k, pattern):
 
 
 class FileHandler(object):
+    """
+    Abstract class defining the methods for
+    "file handler" subclasses.
+
+    Parameters
+    ----------
+    fname : str
+        Filename.
+
+    Attributes
+    ----------
+    fname : str
+        Filename.
+    """
     def __init__(self, fname):
         self.fname = fname
 
@@ -27,6 +41,9 @@ def _open_for_write(self):
         raise NotImplementedError()
 
     def list(self):
+        """
+        Returns the list of arrays' names.
+        """
         raise NotImplementedError()
 
     def _read_array(self, key, *args, **kwargs):
@@ -36,12 +53,36 @@ def _dump(self, key, value, *args, **kwargs):
         raise NotImplementedError()
 
     def save(self):
+        """
+        Saves arrays in file.
+        """
         pass
 
     def close(self):
+        """
+        Closes file.
+        """
         raise NotImplementedError()
 
     def read_arrays(self, keys, *args, **kwargs):
+        """
+        Reads file content (HDF, Excel, CSV, ...)
+        and returns a dictionary containing
+        loaded arrays.
+
+        Parameters
+        ----------
+        keys : list of str
+            List of arrays' names.
+        kwargs :
+            * display: a small message is displayed to tell when
+              an array is started to be read and when it's done.
+
+        Returns
+        -------
+        dict(str,LArray)
+            Dictionary containing names and arrays loaded from a file.
+        """
         display = kwargs.pop('display', False)
         self._open_for_read()
         res = {}
@@ -58,6 +99,18 @@ def read_arrays(self, keys, *args, **kwargs):
         return res
 
     def dump_arrays(self, key_values, *args, **kwargs):
+        """
+        Dumps arrays corresponds to keys in file
+        in HDF, Excel, CSV, ... format
+
+        Parameters
+        ----------
+        key_values : dict of paris (str, LArray)
+            Dictionary containing arrays to dump.
+        kwargs :
+            * display: a small message is displayed to tell when
+              an array is started to be dump and when it's done.
+        """
         display = kwargs.pop('display', False)
         self._open_for_write()
         for key, value in key_values:
@@ -71,6 +124,9 @@ def dump_arrays(self, key_values, *args, **kwargs):
 
 
 class PandasHDFHandler(FileHandler):
+    """
+    Handler for HDF5 files using PandaS.
+    """
     def _open_for_read(self):
         self.handle = HDFStore(self.fname, mode='r')
 
@@ -91,6 +147,9 @@ def close(self):
 
 
 class PandasExcelHandler(FileHandler):
+    """
+    Handler for Excel files using PandaS.
+    """
     def _open_for_read(self):
         self.handle = ExcelFile(self.fname)
 
@@ -113,6 +172,9 @@ def close(self):
 
 
 class XLWingsHandler(FileHandler):
+    """
+    Handler for Excel files using XLWings.
+    """
     def _open_for_read(self):
         self.handle = open_excel(self.fname)
 
@@ -180,6 +242,16 @@ def close(self):
 
 # XXX: inherit from OrderedDict or LArray?
 class Session(object):
+    """
+    Groups several array objects together.
+
+    Parameters
+    ----------
+    args : str or dict of str, array or iterable of tuples (str, array)
+        Name of file to load or dictionary containing couples (name, array).
+    kwargs : dict of str, array
+        List of arrays to add written as 'name'=array, ...
+    """
     def __init__(self, *args, **kwargs):
         object.__setattr__(self, '_objects', OrderedDict())
 
@@ -201,6 +273,16 @@ def __iter__(self):
         return iter(self.values())
 
     def add(self, *args, **kwargs):
+        """
+        Adds array objects to the current session.
+
+        Parameters
+        ----------
+        args : array
+            List of arrays to add.
+        kwargs : dict of str, array
+            List of arrays to add written as 'name'=array, ...
+        """
         for arg in args:
             self[arg.name] = arg
         for k, v in kwargs.items():
@@ -222,6 +304,25 @@ def __getitem__(self, key):
             return self._objects[key]
 
     def get(self, key, default=None):
+        """
+        Returns the array object corresponding to the key.
+        If the key doesn't correspond to any array object,
+        a default one can be returned.
+
+        Parameters
+        ----------
+        key : str
+            Name the array.
+        default : array, optional
+            Returned array if the key doesn't correspond
+            to any array of the current session.
+
+        Returns
+        -------
+        LArray
+            Array corresponding to the given key or
+            a default one if not found.
+        """
         try:
             return self[key]
         except KeyError:
@@ -237,7 +338,8 @@ def __setattr__(self, key, value):
         self._objects[key] = value
 
     def load(self, fname, names=None, engine='auto', display=False, **kwargs):
-        """Load LArray objects from a file.
+        """
+        Loads array objects from a file.
 
         Parameters
         ----------
@@ -266,20 +368,21 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
             self[k] = v
 
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
-        """Dumps all arrays from session to a file.
+        """
+        Dumps all array objects from the current session to a file.
 
         Parameters
         ----------
         fname : str
             Path for the dump.
         names : list of str or None, optional
-            list of names of objects to dump. Defaults to all objects
+            List of names of objects to dump. Defaults to all objects
             present in the Session.
         engine : str, optional
             Dump using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         display : bool, optional
-            whether or not to display which file is being worked on. Defaults
+            Whether or not to display which file is being worked on. Defaults
             to False.
         """
         if engine == 'auto':
@@ -305,14 +408,15 @@ def dump_csv(self, fname, names=None, *args, **kwargs):
         self.dump(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):
-        """Return a new Session with objects which match some criteria.
+        """
+        Returns a new session with array objects which match some criteria.
 
         Parameters
         ----------
         pattern : str, optional
-            Only keep objects whose key match `pattern`.
+            Only keep arrays whose key match `pattern`.
         kind : type, optional
-            Only keep objects which are instances of type `kind`.
+            Only keep arrays which are instances of type `kind`.
 
         Returns
         -------
@@ -331,7 +435,8 @@ def filter(self, pattern=None, kind=None):
 
     @property
     def names(self):
-        """Returns the list of names of the objects in the session
+        """
+        Returns the list of names of the array objects in the session
 
         Returns
         -------
@@ -394,18 +499,18 @@ def __ne__(self, other):
 
     def compact(self, display=False):
         """
-        detect and remove "useless" axes (ie axes for which values are
-        constant over the whole axis) for all arrays in session
+        Detects and removes "useless" axes (ie axes for which values are
+        constant over the whole axis) for all array objects in session
 
         Parameters
         ----------
         display : bool, optional
-            whether or not to display a message for each array that is compacted
+            Whether or not to display a message for each array that is compacted
 
         Returns
         -------
         Session
-            a new session containing all compacted arrays
+            A new session containing all compacted arrays
         """
         new_items = []
         for k, v in self._objects.items():

From 3be9258449af8008983807b478e322c4ce6659ec Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 6 Dec 2016 16:37:41 +0100
Subject: [PATCH 228/899] doctstrings update of file viewer.py

---
 larray/viewer.py | 75 ++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 72 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 7339cfac6..08b161afd 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -284,6 +284,31 @@ def clear_layout(layout):
 
 
 class Product(object):
+    """
+    Represents the `cartesian product` of several arrays.
+
+    Parameters
+    ----------
+    arrays : iterable of array
+        List of arrays on which to apply the cartesian product.
+
+    Examples
+    --------
+    >>> age = [10, 11, 12]
+    >>> time = [2007, 2008, 2009]
+    >>> cart_prod = Product([age, time])
+    >>> for i in range(len(cart_prod)):
+    ...     print(cart_prod[i])
+    (10, 2007)
+    (10, 2008)
+    (10, 2009)
+    (11, 2007)
+    (11, 2008)
+    (11, 2009)
+    (12, 2007)
+    (12, 2008)
+    (12, 2009)
+    """
     def __init__(self, arrays):
         self.arrays = arrays
         assert len(arrays)
@@ -337,7 +362,34 @@ def get_idx_rect(index_list):
 
 
 class ArrayModel(QAbstractTableModel):
-    """Array Editor Table Model"""
+    """Array Editor Table Model.
+
+    Parameters
+    ----------
+    data : 2D NumPy array, optional
+        Input data (2D array).
+    format : str, optional
+        Indicates how data are represented in cells.
+        By default, they are represented as floats with 3 decimal points.
+    xlabels : array, optional
+        Row's labels.
+    ylables : array, optional
+        Column's labels.
+    readonly : bool, optional
+        If True, data cannot be changed. False by default.
+    font : QFont, optional
+        Font. Default is `Calibri` with size 11.
+    parent : QWidget, optional
+        Parent Widget.
+    bg_gradient : ???, optional
+        Background color gradient
+    bg_value : ???, optional
+        Background color value
+    minvalue : scalar
+        Minimum value that can be represented.
+    maxvalue : scalar
+        Maximum value that can be represented.
+    """
 
     ROWS_TO_LOAD = 500
     COLS_TO_LOAD = 40
@@ -470,11 +522,11 @@ def set_format(self, format):
         self.reset()
 
     def columnCount(self, qindex=QModelIndex()):
-        """Array column number"""
+        """Return array column number"""
         return len(self.ylabels) - 1 + self.cols_loaded
 
     def rowCount(self, qindex=QModelIndex()):
-        """Array row number"""
+        """Return array row number"""
         return len(self.xlabels) - 1 + self.rows_loaded
 
     def fetch_more_rows(self):
@@ -1547,6 +1599,23 @@ def map_filtered_to_global(self, k):
 
 
 def larray_to_array_and_labels(data):
+    """Converts an LArray into a 2D data array and x/y labels.
+
+    Parameters
+    ----------
+    data : LArray
+        Input LArray.
+
+    Returns
+    -------
+    data : 2D array
+        Content of input LArray is returned as 2D array.
+    xlabels : 1D array
+        Labels of rows (names of axes + labels of last axis).
+    ylabels : 2D array
+        Labels of columns (cartesian product of labels of all axes
+        except the last one).
+    """
     assert isinstance(data, la.LArray)
 
     xlabels = [data.axes.display_names, data.axes.labels[-1]]

From 0e2a55bb66f70fe205fbbca48bce083f0f12a33f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 8 Dec 2016 17:12:21 +0100
Subject: [PATCH 229/899] doctstrings + doctests correction from line 1 to 2560
 in core.py

---
 larray/core.py | 529 ++++++++++++++++++++++++++-----------------------
 1 file changed, 281 insertions(+), 248 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a35fa9f16..36d91600e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -159,7 +159,9 @@ def _range_to_slice(seq, length=None):
         List, tuple or ndarray of integers representing the range.
         It should be something like [start, start+step, start+2*step, ...]
     length : int, optional
-        ???
+        length of sequence of positions.
+        This is only useful when you must be able to transform decreasing
+        sequences which can stop at 0.
 
     Returns
     -------
@@ -280,7 +282,6 @@ def _to_string(v):
     -----------
     v : any
         (group of) tick(s).
-        slice objects are converted in string using `_slice_to_str` function.
 
     Returns
     -------
@@ -455,10 +456,6 @@ def to_keys(value):
     -------
     list of keys
 
-    See Also
-    --------
-    _to_key
-
     Examples
     --------
     It is only used for .sum(axis=xxx)
@@ -510,8 +507,8 @@ def union(*args):
     -------
     list of labels
 
-    Examples
-    --------
+    Example
+    -------
     >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
     ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
@@ -523,12 +520,13 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    Compares two LArrays and returns True if they have the same axes and elements, False otherwise.
+    Compares two arrays and returns True if they have the
+    same axes and elements, False otherwise.
 
     Parameters
     ----------
     first, other : LArray
-        input arrays.
+        Input arrays.
 
     Returns
     -------
@@ -566,8 +564,8 @@ def _seq_summary(seq, num=3, func=repr):
     """
     Returns a string representing a sequence by showing only the n first and last elements.
 
-    Examples
-    --------
+    Example
+    -------
     >>> _seq_summary(range(10), 2)
     '0 1 ... 8 9'
     """
@@ -586,8 +584,8 @@ class PGroupMaker(object):
     axis : Axis
         an axis.
 
-    Notes:
-    ------
+    Notes
+    -----
     This class is used by the method `Axis.i`
     """
     def __init__(self, axis):
@@ -604,19 +602,19 @@ class Axis(object):
 
     Parameters
     ----------
-    name : string or Axis
+    name : str or Axis
         name of the axis or another instance of Axis.
         In the second case, the name of the other axis is simply copied.
     labels : array-like or int
-        collection of values usable as labels, i.e. scalars or strings or the size of the axis.
+        collection of values usable as labels, i.e. numbers or strings or the size of the axis.
         In the last case, a wildcard axis is created.
 
     Attributes
     ----------
-    name : string
+    name : str
         name of the axis.
     labels : array-like or int
-        collection of values usable as labels, i.e. scalars or strings
+        collection of values usable as labels, i.e. numbers or strings
 
     Examples
     --------
@@ -704,12 +702,13 @@ def _sorted_values(self):
     @property
     def i(self):
         """
-        Allows to define a subset using positions of labels.
+        Allows to define a subset using positions along the axis
+        instead of labels.
 
         Examples
         --------
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> arr = ndrange([sex, time])
         >>> arr
         sex\\time | 2007 | 2008 | 2009 | 2010
@@ -765,7 +764,6 @@ def iswildcard(self):
         return self._iswildcard
 
     # XXX: not sure I should offer an *args version
-    # AD -- def group(key, name=None):
     def group(self, *args, **kwargs):
         """
         Returns a group (list or unique element) of label(s) usable in .sum or .filter
@@ -790,11 +788,12 @@ def group(self, *args, **kwargs):
         --------
         LGroup
 
-        Examples
-        --------
-        >>> age = Axis('age', 100)
-        >>> age.group('10:20', name='teenagers')
-        LGroup('10:20', name='teenagers', axis=Axis('age', 100))
+        Example
+        -------
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> odd_years = time.group([2007, 2009], name='odd_years')
+        >>> odd_years
+        LGroup([2007, 2009], name='odd_years', axis=Axis('time', [2007, 2008, 2009, 2010]))
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -812,8 +811,8 @@ def all(self, name=None):
 
         Parameters
         ----------
-        name : string, optional
-            name of the group. If not provided, name is set to 'all'.
+        name : str, optional
+            Name of the group. If not provided, name is set to 'all'.
 
         See Also
         --------
@@ -828,15 +827,15 @@ def subaxis(self, key, name=None):
         Parameters
         ----------
         key : key
-            input key can be a LArray or a (collection of) label(s).
-        name : string, optional
-            name of the subaxis.
+            Input key can be a LArray or a (collection of) label(s).
+        name : str, optional
+            Name of the subaxis.
             If input name is None, the name of the subaxis is the same as parent axis.
 
         Returns
         -------
         Axis
-            subaxis.
+            Subaxis.
             If key is a None slice and name is None, the original Axis is returned.
             If key is a LArray, the list of axes is returned.
 
@@ -844,11 +843,11 @@ def subaxis(self, key, name=None):
         -----
         key is index-based (slice and fancy indexing are supported)
 
-        Examples
-        --------
-        >>> age = Axis('age', 100)
-        >>> age.subaxis(range(10, 18), name='teenagers')
-        Axis('teenagers', 8)
+        Example
+        -------
+        >>> age = Axis('age', range(100))
+        >>> age.subaxis(range(10, 19), name='teenagers')
+        Axis('teenagers', [10, 11, 12, 13, 14, 15, 16, 17, 18])
         """
         if (name is None and isinstance(key, slice) and
                 key.start is None and key.stop is None and key.step is None):
@@ -866,23 +865,38 @@ def subaxis(self, key, name=None):
 
     def iscompatible(self, other):
         """
-        Checks if current axis is compatible with another.
-        Two axes are compatible is they have the same name and length.
+        Checks if self is compatible with another axis.
+        * Two non-wildcard axes are compatible is they have
+          the same name and labels.
+        * A wildcard axis of length 1 is compatible with any
+          other axis sharing the same name.
+        * A wildcard axis of length > 1 is compatible with any
+          axis of the same length or length 1 and sharing the
+          same name.
 
         Parameters
         ----------
         other : Axis
-            axis to compare with.
+            Axis to compare with.
 
         Returns
         -------
         bool
-            True if input axis is compatible with current axis, False otherwise.
+            True if input axis is compatible with self, False otherwise.
 
         Examples
         --------
-        >>> age = Axis('age', 100)
-        >>> age.iscompatible(age.rename('age_bis'))
+        >>> a10  = Axis('a', range(10))
+        >>> wa10 = Axis('a', 10)
+        >>> wa1  = Axis('a', 1)
+        >>> b10  = Axis('b', range(10))
+        >>> a10.iscompatible(b10)
+        False
+        >>> a10.iscompatible(wa10)
+        True
+        >>> a10.iscompatible(wa1)
+        True
+        >>> wa1.iscompatible(b10)
         False
         """
         if self is other:
@@ -901,18 +915,18 @@ def iscompatible(self, other):
 
     def equals(self, other):
         """
-        Checks if current axis is equal to another.
-        Two axes are equal if the have the same name and label(s)
+        Checks if self is equal to another axis.
+        Two axes are equal if the have the same name and label(s).
 
         Parameters
         ----------
         other : Axis
-            axis to compare with.
+            Axis to compare with.
 
         Returns
         -------
         bool
-            True if input axis is equal to the current axis, False otherwise.
+            True if input axis is equal to self, False otherwise.
 
         Examples
         --------
@@ -939,29 +953,35 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        Returns a group with all the labels matching (regex) the specified pattern
+        Returns a group with all the labels matching (regex) the specified pattern.
 
         Parameters
         ----------
-        pattern : string
-            regular expression (regex).
+        pattern : str
+            Regular expression (regex).
 
         Returns
         -------
         LGroup
-            group containing all label(s) matching the pattern.
+            Group containing all label(s) matching the pattern.
 
         Notes
         -----
-        See `Regular Expression <https://en.wikipedia.org/wiki/Regular_expression#Examples>`_
+        See `Regular Expression <https://docs.python.org/3/library/re.html>`_
         for more details about how to build a pattern.
 
         Examples
         --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.matches('^W.*o$')
+
+        All labels starting with "W" and ending with "o" are given by
+
+        >>> people.matches('W.*o')
         LGroup(['Waldo'])
-        >>> people.matches('^[^a]*$')
+
+        All labels not containing character "a"
+
+        >>> people.matches('[^a]*$')
         LGroup(['Bruce Willis', 'Arthur Dent'])
         """
         return LGroup(self._axisregex(pattern))
@@ -972,16 +992,16 @@ def startswith(self, pattern):
 
         Parameters
         ----------
-        pattern : string
-            pattern describing the first part of labels you want to get.
+        pattern : str
+            Pattern describing the first part of labels you want to get.
 
         Returns
         -------
         LGroup
-            group containing all label(s) matching the pattern.
+            Group containing all label(s) starting with the given pattern.
 
-        Examples
-        --------
+        Example
+        -------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.startswith('[^B]')
         LGroup(['Waldo', 'Arthur Dent', 'Harvey Dent'])
@@ -995,16 +1015,16 @@ def endswith(self, pattern):
 
         Parameters
         ----------
-        pattern : string
-            pattern describing the first part of labels you want to get.
+        pattern : str
+            Pattern describing the last part of labels you want to get.
 
         Returns
         -------
         LGroup
-            group containing all label(s) matching the pattern.
+            Group containing all label(s) ending with the given pattern.
 
-        Examples
-        --------
+        Example
+        -------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.endswith('[o-z]')
         LGroup(['Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
@@ -1065,7 +1085,7 @@ def translate(self, key, bool_passthrough=True):
 
         Notes
         -----
-        fancy index with boolean vectors are passed through unmodified
+        Fancy index with boolean vectors are passed through unmodified
 
         Examples
         --------
@@ -1174,8 +1194,8 @@ def labels_summary(self):
         """
         Returns a short representation of the labels.
 
-        Examples
-        --------
+        Example
+        -------
         >>> Axis('age', 100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
@@ -1189,8 +1209,7 @@ def repr_on_strings(v):
     # method factory
     def _binop(opname):
         """
-        Wrapper method that transforms current and other axis into LArray and
-        then applies binary operators of LArray.
+        Method factory to create binary operators special methods.
         """
         fullname = '__%s__' % opname
 
@@ -1247,13 +1266,13 @@ def opmethod(self, other):
 
     def __larray__(self):
         """
-        Returns current axis as LArray.
+        Returns axis as LArray.
         """
         return labels_array(self)
 
     def copy(self):
         """
-        Returns a copy of the current axis.
+        Returns a copy of the axis.
         """
         new_axis = Axis(self.name, [])
         # XXX: I wonder if we should make a copy of the labels + mapping.
@@ -1304,27 +1323,7 @@ def _rename(self, name):
 # ticks/labels of the LGroup need to correspond to its *Axis*
 # indices
 class Group(object):
-    """Generic Group.
-
-    Parameters
-    ----------
-    key : key
-        Anything usable for indexing.
-        A key should be either sequence of labels, a slice with label bounds or a string.
-    name : string, optional
-        name of the group.
-    axis : int, str, Axis, optional
-        axis for group.
-
-    Attributes
-    ----------
-    key : key
-        Anything usable for indexing.
-    name : string
-        name of the group
-    axis : Axis
-        axis of the group.
-
+    """Abstract Group.
     """
     def __init__(self, key, name=None, axis=None):
         if isinstance(key, tuple):
@@ -1411,12 +1410,18 @@ class LGroup(Group):
 
     Represents a subset of labels of an axis.
 
-    See Also
-    --------
-    Group
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : str, optional
+        Name of the group.
+    axis : int, str, Axis, optional
+        Axis for group.
 
-    Examples
-    --------
+    Example
+    -------
     >>> age = Axis('age', range(100))
     >>> teens = x.age[10:19].named('teens')
     >>> teens
@@ -1517,26 +1522,54 @@ class PGroup(Group):
 
     Represents a subset of indices of an axis.
 
-    See Also
-    --------
-    Group
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with
+        label bounds or a string.
+    name : str, optional
+        Name of the group.
+    axis : int, str, Axis, optional
+        Axis for group.
     """
     pass
 
 
 def index_by_id(seq, value):
     """
-    Returns position of a value in a sequence.
+    Returns position of an object in a sequence.
+    Raises an error if the object is not in the list.
+
+    Parameters
+    ----------
+    seq : sequence
+        Any sequence (list, tuple, str, unicode).
+
+    value : object
+        Object for which you want to retrieve its position
+        in the sequence.
 
     Raises
     ------
     ValueError
-        If `value` is not contained in `seq`.
+        If `value` object is not contained in the sequence.
 
     Examples
     --------
-    >>> index_by_id(['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'], 'D')
-    3
+    >>> age = Axis('age', range(10))
+    >>> sex = Axis('sex', ['M','F'])
+    >>> time = Axis('time', ['2007','2008','2009','2010'])
+    >>> index_by_id([age, sex, time], sex)
+    1
+    >>> gender = Axis('sex', ['M', 'F'])
+    >>> index_by_id([age, sex, time], gender)
+    Traceback (most recent call last):
+        ...
+    ValueError: sex is not in list
+    >>> gender = sex
+    >>> index_by_id([age, sex, time], gender)
+    1
     """
     for i, item in enumerate(seq):
         if item is value:
@@ -1553,9 +1586,10 @@ class AxisCollection(object):
 
     Parameters:
     -----------
-    axes : sequence of Axis or int or tuple or string objects, optional
-        an axis can be given as an Axis object, an int or a tuple (name,labels) or
-        a string of the kind 'name=label_1,label_2,label_3'.
+    axes : sequence of Axis or int or tuple or str, optional
+        An axis can be given as an Axis object, an int or a
+        tuple (name, labels) or a string of the kind
+        'name=label_1,label_2,label_3'.
 
     Raises
     ------
@@ -1568,16 +1602,14 @@ class AxisCollection(object):
     However, several axes with the same name but different labels are allowed
     but it is not recommended.
 
-    Examples
-    --------
-    >>> age = Axis('age', range(20))
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> AxisCollection([3, age, sex,('city', ['London', 'Paris', 'Rome']),'time = 2007, 2008, 2009, 2010'])
+    Example
+    -------
+    >>> age = Axis('age', range(10))
+    >>> AxisCollection([3, age, ('sex', ['M', 'F']), 'time = 2007, 2008, 2009, 2010'])
     AxisCollection([
         Axis(None, 3),
-        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
+        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
         Axis('sex', ['M', 'F']),
-        Axis('city', ['London', 'Paris', 'Rome']),
         Axis('time', ['2007', '2008', '2009', '2010'])
     ])
     """
@@ -1680,20 +1712,20 @@ def get_by_pos(self, key, i):
         Parameters
         ----------
         key : key
-            key corresponding to an axis.
+            Key corresponding to an axis.
         i : int
-            position of the axis (used only if search by key failed).
+            Position of the axis (used only if search by key failed).
 
         Returns
         -------
         Axis
-            axis corresponding to the key or the position i.
+            Axis corresponding to the key or the position i.
 
         Examples
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, sex, time])
         >>> col.get_by_pos('sex', 1)
         Axis('sex', ['M', 'F'])
@@ -1778,7 +1810,7 @@ def __radd__(self, other):
 
     def __and__(self, other):
         """
-        Returns the intersection of this collection and other
+        Returns the intersection of this collection and other.
         """
         if not isinstance(other, AxisCollection):
             other = AxisCollection(other)
@@ -1825,13 +1857,14 @@ def __contains__(self, key):
 
     def isaxis(self, value):
         """
-        Tests if input is an Axis object or the name of an axis
-        contained in the current AxisCollection instance.
+        Tests if input is an Axis object or
+        the name of an axis contained in self.
 
         Parameters
         ----------
-        value : Axis or string
-            input axis or string
+        value : Axis or str
+            Input axis or string
+
         Returns
         -------
         bool
@@ -1842,11 +1875,10 @@ def isaxis(self, value):
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
-        >>> col = AxisCollection([age, sex, time])
+        >>> col = AxisCollection([age, sex])
         >>> col.isaxis(age)
         True
-        >>> col.isaxis('time')
+        >>> col.isaxis('sex')
         True
         >>> col.isaxis('city')
         False
@@ -1889,28 +1921,29 @@ def __repr__(self):
 
     def get(self, key, default=None, name=None):
         """
-        Returns axis corresponding to key. If not found, the argument `name` is
-        used to create a new Axis. If `name` is None, the `default` axis is then returned.
+        Returns axis corresponding to key. If not found,
+        the argument `name` is used to create a new Axis.
+        If `name` is None, the `default` axis is then returned.
 
         Parameters
         ----------
         key : key
-            key corresponding to an axis of the current AxisCollection.
+            Key corresponding to an axis of the current AxisCollection.
         default : axis, optional
-            default axis to return if key doesn't correspond to any axis of the current
-            AxisCollection and argument `name` is None.
-        name : string, optional
-            if key doesn't correspond to any axis of the current AxisCollection,
+            Default axis to return if key doesn't correspond to any axis of
+            the collection and argument `name` is None.
+        name : str, optional
+            If key doesn't correspond to any axis of the collection,
             a new Axis with this name is created and returned.
 
         Examples
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, time])
         >>> col.get('time')
-        Axis('time', ['2007', '2008', '2009', '2010'])
+        Axis('time', [2007, 2008, 2009, 2010])
         >>> col.get('sex', sex)
         Axis('sex', ['M', 'F'])
         >>> col.get('nb_children', None, 'nb_children')
@@ -1941,13 +1974,13 @@ def get_all(self, key):
         Raises
         ------
         AssertionError
-            raised if the input key is not an AxisCollection object.
+            Raised if the input key is not an AxisCollection object.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> city = Axis('city', ['London', 'Paris', 'Rome'])
         >>> col = AxisCollection([age, sex, time])
         >>> col2 = AxisCollection([age, city, time])
@@ -1955,7 +1988,7 @@ def get_all(self, key):
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
             Axis('city', 1),
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         """
         assert isinstance(key, AxisCollection)
@@ -1976,11 +2009,11 @@ def keys(self):
         """
         Returns list of all axis names.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, sex, time]).keys()
         ['age', 'sex', 'time']
         """
@@ -1989,34 +2022,34 @@ def keys(self):
 
     def pop(self, axis=-1):
         """
-        Deletes and returns an axis.
-        If no argument provided, the last axis is deleted and returned.
+        Removes and returns an axis.
 
         Parameters
         ----------
         axis : key, optional
-            axis to delete and return (default value is -1).
+            Axis to remove and return.
+            Default value is -1 (last axis).
 
         Returns
         -------
         Axis
-            If no argument is provided, the last axis is deleted and returned.
+            If no argument is provided, the last axis is removed and returned.
 
         Examples
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, sex, time])
         >>> col.pop('age')
         Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
         >>> col
         AxisCollection([
             Axis('sex', ['M', 'F']),
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         >>> col.pop()
-        Axis('time', ['2007', '2008', '2009', '2010'])
+        Axis('time', [2007, 2008, 2009, 2010])
         """
         axis = self[axis]
         del self[axis]
@@ -2029,27 +2062,28 @@ def append(self, axis):
         Parameters
         ----------
         axis : Axis
-            axis to append.
+            Axis to append.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, sex])
         >>> col.append(time)
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
             Axis('sex', ['M', 'F']),
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         """
         self[len(self):len(self)] = [axis]
 
     def check_compatible(self, axes):
         """
-        Checks if axes are all compatible. Raises a ValueError if not.
+        Checks if axes passed as argument are compatible with those
+        contained in the collection. Raises a ValueError if not.
 
         See Also
         --------
@@ -2063,7 +2097,7 @@ def check_compatible(self, axes):
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """
-        Extends the collection by appending the axes from axes.
+        Extends the collection by appending the axes from `axes`.
 
         Parameters
         ----------
@@ -2074,20 +2108,20 @@ def extend(self, axes, validate=True, replace_wildcards=False):
         Raises
         ------
         TypeError
-            raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
+            Raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection(age)
         >>> col.extend([sex, time])
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
             Axis('sex', ['M', 'F']),
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         """
         # axes should be a sequence
@@ -2133,25 +2167,25 @@ def index(self, axis):
 
         Parameters
         ----------
-        axis : Axis or int or string
-            can be the axis itself or its position (returned if represents a valid index)
+        axis : Axis or int or str
+            Can be the axis itself or its position (returned if represents a valid index)
             or its name.
 
         Returns
         -------
         int
-            index of the axis.
+            Index of the axis.
 
         Raises
         ------
         ValueError
-            raised if the axis is not present.
+            Raised if the axis is not present.
 
         Examples
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, sex, time])
         >>> col.index(time)
         2
@@ -2190,18 +2224,18 @@ def insert(self, index, axis):
         axis : Axis
             axis to insert.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, time])
         >>> col.insert(1, sex)
         >>> col
         AxisCollection([
             Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
             Axis('sex', ['M', 'F']),
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         """
         self[index:index] = [axis]
@@ -2214,22 +2248,22 @@ def copy(self):
 
     def replace(self, old, new):
         """
-        Replaces an axis
+        Replaces an axis.
 
         Parameters
         ----------
         old : Axis
-            axis to be replaced
+            Axis to be replaced
         new : Axis
-            axis to be put in place of the `old` axis.
+            Axis to be put in place of the `old` axis.
 
         Returns
         -------
         AxisCollection
-            updated AxisCollection.
+            New collection with old axis replaced by the new one.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> age_new = Axis('age', range(10))
         >>> sex = Axis('sex', ['M', 'F'])
@@ -2253,28 +2287,28 @@ def without(self, axes):
 
         Parameters
         ----------
-        axes : sequence of Axis or string
-            axes to not include in the returned AxisCollection.
+        axes : sequence of Axis or str
+            Axes to not include in the returned AxisCollection.
             In case of string, axes are separated by a comma and no whitespace is accepted.
 
         Returns
         -------
         AxisCollection
-            new collection without some axes.
+            New collection without some axes.
 
         Notes
         -----
-        set operations so axes can contain axes not present in self
+        Set operations so axes can contain axes not present in self
 
         Examples
         --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> col = AxisCollection([age, sex, time])
         >>> col.without([age, sex])
         AxisCollection([
-            Axis('time', ['2007', '2008', '2009', '2010'])
+            Axis('time', [2007, 2008, 2009, 2010])
         ])
         >>> col.without('sex,time')
         AxisCollection([
@@ -2306,23 +2340,23 @@ def translate_full_key(self, key):
         Parameters
         ----------
         key : tuple
-            a full label-based key.
+            A full label-based key.
             All dimensions must be present and in the correct order.
 
         Returns
         -------
         tuple
-            a full positional key
+            A full positional key.
 
         See Also
         --------
         Axis.translate
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', '2009'))
         (slice(None, None, None), 1, 2)
         """
@@ -2338,16 +2372,14 @@ def labels(self):
         Returns
         -------
         list
-            list of labels of the axes.
+            List of labels of the axes.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(10))
-        >>> children = Axis('number of children', range(8))
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
-        >>> AxisCollection([age, children, time]).labels # doctest: +NORMALIZE_WHITESPACE
+        >>> AxisCollection([age, time]).labels # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
-         array([0, 1, 2, 3, 4, 5, 6, 7]),
          array([2007, 2008, 2009, 2010])]
         """
         return [axis.labels for axis in self._list]
@@ -2360,13 +2392,13 @@ def names(self):
         Returns
         -------
         list
-            list of names of the axes.
+            List of names of the axes.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, sex, time]).names
         ['age', 'sex', 'time']
         """
@@ -2380,12 +2412,12 @@ def display_names(self):
         Returns
         -------
         list
-            list of names of the axes.
+            List of names of the axes.
             Wildcard axes are displayed with an attached *.
             Anonymous axes (name = None) are replaced by their position in braces.
 
-        Examples
-        --------
+        Example
+        -------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', 2)
         >>> c = Axis(None, ['c1', 'c2'])
@@ -2407,14 +2439,14 @@ def ids(self):
         Returns
         -------
         list
-            list of ids of the axes.
+            List of ids of the axes.
 
         See Also
         --------
         axis_id
 
-        Examples
-        --------
+        Example
+        -------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
@@ -2431,7 +2463,7 @@ def axis_id(self, axis):
         Returns
         -------
         str or int
-            id of axis, which is its name if defined and its position otherwise.
+            Id of axis, which is its name if defined and its position otherwise.
 
         Examples
         --------
@@ -2457,13 +2489,13 @@ def shape(self):
         Returns
         -------
         tuple
-            tuple of lengths of axes.
+            Tuple of lengths of axes.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, sex, time]).shape
         (20, 2, 4)
         """
@@ -2472,18 +2504,19 @@ def shape(self):
     @property
     def size(self):
         """
-        Returns the size of the collection, i.e. the product of lengths of axes.
+        Returns the size of the collection, i.e.
+        the number of elements of the array.
 
         Returns
         -------
         int
-            product of lengths of axes.
+            Number of elements of the array.
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, sex, time]).size
         160
         """
@@ -2492,18 +2525,18 @@ def size(self):
     @property
     def info(self):
         """
-        Describes an AxisCollection (shape and labels for each axis).
+        Describes the collection (shape and labels for each axis).
 
         Returns
         -------
-        string
-            description of the AxisCollection (shape and labels for each axis).
+        str
+            Description of the AxisCollection (shape and labels for each axis).
 
-        Examples
-        --------
+        Example
+        -------
         >>> age = Axis('age', 20)
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', ['2007', '2008', '2009', '2010'])
+        >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, sex, time]).info
         20 x 2 x 4
          age* [20]: 0 1 2 ... 17 18 19
@@ -2525,7 +2558,7 @@ def all(values, axis=None):
     values : LArray or iterable
         Input data.
     axis : str or list or Axis, optional
-        axis over which to aggregate.
+        Axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
@@ -2578,7 +2611,7 @@ def any(values, axis=None):
     values : LArray or iterable
         Input data.
     axis : str or list or Axis, optional
-        axis over which to aggregate.
+        Axis over which to aggregate.
         Defaults to None (all axes).
 
     Returns
@@ -2683,14 +2716,14 @@ def sum(array, *args, **kwargs):
 def prod(array, *args, **kwargs):
     """prod(array, axis=None)
 
-    Return the product of the array elements over a given axis.
+    Returns the product of the array elements over a given axis.
 
     Parameters
     ----------
     array : LArray
         Input data.
     axis : None or int or str or Axis or tuple of those, optional
-        axis or axes along which a product is performed.
+        Axis or axes along which a product is performed.
         The default (`axis` = `None`) is to perform the product over all
         axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
@@ -2823,14 +2856,14 @@ def cumprod(array, *args, **kwargs):
 def min(array, *args, **kwargs):
     """min(array, axis=None)
 
-    Return the minimum of an array or minimum along an axis.
+    Returns the minimum of an array or minimum along an axis.
 
     Parameters
     ----------
     array : LArray
         Input data.
     axis : None or int or str or Axis or tuple of those, optional
-        axis or axes along which a the minimum is searched.
+        Axis or axes along which a the minimum is searched.
         The default (`axis` = `None`) is to search the minimum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
@@ -2874,14 +2907,14 @@ def min(array, *args, **kwargs):
 def max(array, *args, **kwargs):
     """max(array, axis=None)
 
-    Return the minimum of an array or maximum along an axis.
+    Returns the minimum of an array or maximum along an axis.
 
     Parameters
     ----------
     array : LArray
         Input data.
     axis : None or int or str or Axis or tuple of those, optional
-        axis or axes along which a the maximum is searched.
+        Axis or axes along which a the maximum is searched.
         The default (`axis` = `None`) is to search the maximum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
@@ -3977,15 +4010,15 @@ def sort_axis(self, axes=None, reverse=False):
 
         Parameters
         ----------
-        axes : axis reference (Axis, string, int) or list of them
-            axis to sort. If None, sorts all axes.
+        axes : axis reference (Axis, str, int) or list of them
+            Axis to sort. If None, sorts all axes.
         reverse : bool
-            descending sort (default: False -- ascending)
+            Descending sort (default: False -- ascending)
 
         Returns
         -------
         LArray
-            LArray with sorted axes.
+            Array with sorted axes.
 
         Examples
         --------
@@ -6182,15 +6215,15 @@ def clip(self, a_min, a_max, out=None):
     def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
                dropna=None, dialect='default', **kwargs):
         """
-        Writes LArray to a csv file.
+        Writes array to a csv file.
 
         Parameters
         ----------
-        filepath : string
+        filepath : str
             path where the csv file has to be written.
-        sep : string
+        sep : str
             seperator for the csv file.
-        na_rep : string
+        na_rep : str
             replace NA values with na_rep.
         transpose : boolean
             transpose = True  => transpose over last axis.
@@ -6247,15 +6280,15 @@ def to_hdf(self, filepath, key, *args, **kwargs):
 
         Parameters
         ----------
-        filepath : string
-            path where the hdf file has to be written.
-        key : string
-            name of the matrix within the HDF file.
+        filepath : str
+            Path where the hdf file has to be written.
+        key : str
+            Name of the matrix within the HDF file.
         *args
         **kargs
 
-        Examples
-        --------
+        Example
+        -------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_hdf('test.h5', 'a')
         """
@@ -6431,8 +6464,8 @@ def shape(self):
         tuple
             Tuple representing the current shape.
 
-        Examples
-        --------
+        Example
+        -------
         >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
         >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
@@ -6441,15 +6474,15 @@ def shape(self):
 
     @property
     def ndim(self):
-        """Returns the number of dimensions of a LArray.
+        """Returns the number of dimensions of the array.
 
         Returns
         -------
         int
             Number of dimensions of a LArray.
 
-        Examples
-        --------
+        Example
+        -------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.ndim
         2
@@ -7339,7 +7372,7 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
 
     Parameters
     ----------
-    axis : axis reference (Axis, string, int)
+    axis : axis reference (Axis, str, int)
         axis along which to apply mod.
     initial : scalar or LArray, optional
         value for the first label of axis. Defaults to 0.

From 4fa369d36e74fd5240215e098378f28fddd9c6f1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Dec 2016 12:45:57 +0100
Subject: [PATCH 230/899] doctstrings + doctests correction from all core.py
 file.

---
 larray/core.py | 713 ++++++++++++++++++++++++-------------------------
 1 file changed, 347 insertions(+), 366 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 36d91600e..90c489e64 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -507,8 +507,8 @@ def union(*args):
     -------
     list of labels
 
-    Example
-    -------
+    Examples
+    --------
     >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
     ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
     """
@@ -564,8 +564,8 @@ def _seq_summary(seq, num=3, func=repr):
     """
     Returns a string representing a sequence by showing only the n first and last elements.
 
-    Example
-    -------
+    Examples
+    --------
     >>> _seq_summary(range(10), 2)
     '0 1 ... 8 9'
     """
@@ -788,8 +788,8 @@ def group(self, *args, **kwargs):
         --------
         LGroup
 
-        Example
-        -------
+        Examples
+        --------
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> odd_years = time.group([2007, 2009], name='odd_years')
         >>> odd_years
@@ -843,8 +843,8 @@ def subaxis(self, key, name=None):
         -----
         key is index-based (slice and fancy indexing are supported)
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(100))
         >>> age.subaxis(range(10, 19), name='teenagers')
         Axis('teenagers', [10, 11, 12, 13, 14, 15, 16, 17, 18])
@@ -866,6 +866,7 @@ def subaxis(self, key, name=None):
     def iscompatible(self, other):
         """
         Checks if self is compatible with another axis.
+
         * Two non-wildcard axes are compatible is they have
           the same name and labels.
         * A wildcard axis of length 1 is compatible with any
@@ -1000,8 +1001,8 @@ def startswith(self, pattern):
         LGroup
             Group containing all label(s) starting with the given pattern.
 
-        Example
-        -------
+        Examples
+        --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.startswith('[^B]')
         LGroup(['Waldo', 'Arthur Dent', 'Harvey Dent'])
@@ -1023,8 +1024,8 @@ def endswith(self, pattern):
         LGroup
             Group containing all label(s) ending with the given pattern.
 
-        Example
-        -------
+        Examples
+        --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
         >>> people.endswith('[o-z]')
         LGroup(['Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
@@ -1194,8 +1195,8 @@ def labels_summary(self):
         """
         Returns a short representation of the labels.
 
-        Example
-        -------
+        Examples
+        --------
         >>> Axis('age', 100).labels_summary()
         '0 1 2 ... 97 98 99'
         """
@@ -1420,8 +1421,8 @@ class LGroup(Group):
     axis : int, str, Axis, optional
         Axis for group.
 
-    Example
-    -------
+    Examples
+    --------
     >>> age = Axis('age', range(100))
     >>> teens = x.age[10:19].named('teens')
     >>> teens
@@ -1602,8 +1603,8 @@ class AxisCollection(object):
     However, several axes with the same name but different labels are allowed
     but it is not recommended.
 
-    Example
-    -------
+    Examples
+    --------
     >>> age = Axis('age', range(10))
     >>> AxisCollection([3, age, ('sex', ['M', 'F']), 'time = 2007, 2008, 2009, 2010'])
     AxisCollection([
@@ -1976,8 +1977,8 @@ def get_all(self, key):
         AssertionError
             Raised if the input key is not an AxisCollection object.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2009,8 +2010,8 @@ def keys(self):
         """
         Returns list of all axis names.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2064,8 +2065,8 @@ def append(self, axis):
         axis : Axis
             Axis to append.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2110,8 +2111,8 @@ def extend(self, axes, validate=True, replace_wildcards=False):
         TypeError
             Raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2224,8 +2225,8 @@ def insert(self, index, axis):
         axis : Axis
             axis to insert.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2262,8 +2263,8 @@ def replace(self, old, new):
         AxisCollection
             New collection with old axis replaced by the new one.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> age_new = Axis('age', range(10))
         >>> sex = Axis('sex', ['M', 'F'])
@@ -2352,12 +2353,12 @@ def translate_full_key(self, key):
         --------
         Axis.translate
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
-        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', '2009'))
+        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', 2009))
         (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
@@ -2394,8 +2395,8 @@ def names(self):
         list
             List of names of the axes.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2416,8 +2417,8 @@ def display_names(self):
             Wildcard axes are displayed with an attached *.
             Anonymous axes (name = None) are replaced by their position in braces.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', ['a1', 'a2'])
         >>> b = Axis('b', 2)
         >>> c = Axis(None, ['c1', 'c2'])
@@ -2445,8 +2446,8 @@ def ids(self):
         --------
         axis_id
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = Axis('a', 2)
         >>> b = Axis(None, 2)
         >>> c = Axis('c', 2)
@@ -2491,8 +2492,8 @@ def shape(self):
         tuple
             Tuple of lengths of axes.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2512,8 +2513,8 @@ def size(self):
         int
             Number of elements of the array.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(20))
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2532,8 +2533,8 @@ def info(self):
         str
             Description of the AxisCollection (shape and labels for each axis).
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', 20)
         >>> sex = Axis('sex', ['M', 'F'])
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
@@ -2541,7 +2542,7 @@ def info(self):
         20 x 2 x 4
          age* [20]: 0 1 2 ... 17 18 19
          sex [2]: 'M' 'F'
-         time [4]: '2007' '2008' '2009' '2010'
+         time [4]: 2007 2008 2009 2010
         """
         lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
                  for name, axis in zip(self.display_names, self._list)]
@@ -2581,20 +2582,20 @@ def all(values, axis=None):
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
-    >>> barr = arr % 2 == 0
+    >>> barr = arr < 4
     >>> barr
     a\\b |    b0 |    b1 |    b2
-     a0 |  True | False |  True
-     a1 | False |  True | False
-     a2 |  True | False |  True
+     a0 |  True |  True |  True
+     a1 |  True | False | False
+     a2 | False | False | False
     >>> all(barr)
     False
     >>> all(barr, 'a')
     b |    b0 |    b1 |    b2
       | False | False | False
     >>> all(barr, 'b')
-    a |    a0 |    a1 |    a2
-      | False | False | False
+    a |   a0 |    a1 |    a2
+      | True | False | False
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -2634,20 +2635,20 @@ def any(values, axis=None):
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
-    >>> barr = arr % 2 == 0
+    >>> barr = arr < 4
     >>> barr
     a\\b |    b0 |    b1 |    b2
-     a0 |  True | False |  True
-     a1 | False |  True | False
-     a2 |  True | False |  True
+     a0 |  True |  True |  True
+     a1 |  True | False | False
+     a2 | False | False | False
     >>> any(barr)
     True
     >>> any(barr, 'a')
     b |   b0 |   b1 |   b2
       | True | True | True
     >>> any(barr, 'b')
-    a |   a0 |   a1 |   a2
-      | True | True | True
+    a |   a0 |   a1 |    a2
+      | True | True | False
     """
     if isinstance(values, LArray):
         return values.any(axis)
@@ -2696,9 +2697,6 @@ def sum(array, *args, **kwargs):
      a1 |  3 |  4 |  5
     >>> sum(arr)
     15
-    >>> sum(arr, axis=0)
-    b | b0 | b1 | b2
-      |  3 |  5 |  7
     >>> sum(arr, axis='a')
     b | b0 | b1 | b2
       |  3 |  5 |  7
@@ -2734,8 +2732,8 @@ def prod(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.prod : Equivalent method.
 
     Examples
@@ -2747,9 +2745,6 @@ def prod(array, *args, **kwargs):
      a1 |  3 |  4 |  5
     >>> prod(arr)
     0
-    >>> prod(arr, axis=0)
-    b | b0 | b1 | b2
-      |  0 |  4 | 10
     >>> prod(arr, axis='a')
     b | b0 | b1 | b2
       |  0 |  4 | 10
@@ -2760,14 +2755,14 @@ def prod(array, *args, **kwargs):
 def cumsum(array, *args, **kwargs):
     """cumsum(array, axis=None)
 
-    Return the cumulative sum of the elements along a given axis.
+    Returns the cumulative sum of the elements along a given axis.
 
     Parameters
     ----------
     array : LArray
         Input data.
     axis : None or int or str or Axis or tuple of those, optional
-        axis or axes along which a cumulative sum is performed.
+        Axis or axes along which a cumulative sum is performed.
         The default (`axis` = `None`) is to perform the cumulative sum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
@@ -2778,8 +2773,8 @@ def cumsum(array, *args, **kwargs):
     -------
     LArray
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.cumsum : Equivalent method.
 
     Examples
@@ -2793,10 +2788,6 @@ def cumsum(array, *args, **kwargs):
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  3
      a1 |  3 |  7 | 12
-    >>> cumsum(arr, axis=0)
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  5 |  7
     >>> cumsum(arr, axis='a')
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
@@ -2808,14 +2799,14 @@ def cumsum(array, *args, **kwargs):
 def cumprod(array, *args, **kwargs):
     """cumprod(array, axis=None)
 
-    Return the cumulative product of the elements along a given axis.
+    Returns the cumulative product of the elements along a given axis.
 
     Parameters
     ----------
     array : LArray
         Input data.
     axis : None or int or str or Axis or tuple of those, optional
-        axis or axes along which a cumulative product is performed.
+        Axis or axes along which a cumulative product is performed.
         The default (`axis` = `None`) is to perform the cumulative product
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
@@ -2826,8 +2817,8 @@ def cumprod(array, *args, **kwargs):
     -------
     LArray
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.cumprod : Equivalent method.
 
     Examples
@@ -2841,10 +2832,6 @@ def cumprod(array, *args, **kwargs):
     a\\b | b0 | b1 | b2
      a0 |  0 |  0 |  0
      a1 |  3 | 12 | 60
-    >>> cumprod(arr, axis=0)
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  0 |  4 | 10
     >>> cumprod(arr, axis='a')
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
@@ -2874,8 +2861,8 @@ def min(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.min : Equivalent method.
 
     Notes
@@ -2891,9 +2878,6 @@ def min(array, *args, **kwargs):
      a1 |  3 |  4 |  5
     >>> min(arr)
     0
-    >>> min(arr, axis=0)
-    b | b0 | b1 | b2
-      |  0 |  1 |  2
     >>> min(arr, axis='a')
     b | b0 | b1 | b2
       |  0 |  1 |  2
@@ -2925,8 +2909,8 @@ def max(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.max : Equivalent method.
 
     Notes
@@ -2958,7 +2942,7 @@ def max(array, *args, **kwargs):
 def mean(array, *args, **kwargs):
     """mean(array, axis=None)
 
-    Compute the arithmetic mean along the specified axis.
+    Computes the arithmetic mean along the specified axis.
 
     Parameters
     ----------
@@ -2976,8 +2960,8 @@ def mean(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.mean : Equivalent method.
 
     Examples
@@ -3002,7 +2986,7 @@ def mean(array, *args, **kwargs):
 def median(array, *args, **kwargs):
     """median(array, axis=None)
 
-    Compute the median along the specified axis.
+    Computes the median along the specified axis.
 
     Parameters
     ----------
@@ -3020,8 +3004,8 @@ def median(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.median : Equivalent method.
 
     Examples
@@ -3046,7 +3030,7 @@ def median(array, *args, **kwargs):
 def percentile(array, *args, **kwargs):
     """percentile(array, q, axis=None)
 
-    Compute the qth percentile of the data along the specified axis.
+    Computes the qth percentile of the data along the specified axis.
 
     Parameters
     ----------
@@ -3066,8 +3050,8 @@ def percentile(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.percentile : Equivalent method.
 
     Examples
@@ -3096,7 +3080,7 @@ def percentile(array, *args, **kwargs):
 def ptp(array, *args, **kwargs):
     """ptp(array, axis=None)
 
-    Range of values (maximum - minimum) along an axis.
+    Returns the range of values (maximum - minimum) along an axis.
 
     The name of the function comes from the acronym for ‘peak to peak’.
 
@@ -3117,8 +3101,8 @@ def ptp(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.ptp : Equivalent method.
 
     Examples
@@ -3143,7 +3127,7 @@ def ptp(array, *args, **kwargs):
 def var(array, *args, **kwargs):
     """var(array, axis=None)
 
-    Compute the variance along the specified axis.
+    Computes the variance along the specified axis.
 
     Parameters
     ----------
@@ -3161,8 +3145,8 @@ def var(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.var : Equivalent method.
 
     Examples
@@ -3188,7 +3172,7 @@ def var(array, *args, **kwargs):
 def std(array, *args, **kwargs):
     """std(array, axis=None)
 
-    Compute the standard deviation along the specified axis.
+    Computes the standard deviation along the specified axis.
 
     Parameters
     ----------
@@ -3206,8 +3190,8 @@ def std(array, *args, **kwargs):
     -------
     LArray or scalar
 
-    See Also:
-    ---------
+    See Also
+    --------
     LArray.std : Equivalent method.
 
     Examples
@@ -3230,16 +3214,15 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-_numeric_kinds = 'buifc'    #Boolean, Unsigned integer, Integer, Float, Complex
-_string_kinds = 'SU'        #String, Unicode
+_numeric_kinds = 'buifc'    # Boolean, Unsigned integer, Integer, Float, Complex
+_string_kinds = 'SU'        # String, Unicode
 _meta_kind = {k: 'str' for k in _string_kinds}
 _meta_kind.update({k: 'numeric' for k in _numeric_kinds})
 
 
 def common_type(arrays):
     """
-    Similar to ``common_type`` NumPy function.
-    Return a type which is common to the input arrays.
+    Returns a type which is common to the input arrays.
     All input arrays can be safely cast to the returned dtype without loss of information.
 
     Notes
@@ -3404,8 +3387,8 @@ def get_axis(obj, i):
     Parameters
     ----------
     obj : LArray or other array
-        Input LArray or any array object on which a shape method can be applied
-        (NumPy or PandaS array).
+        Input LArray or any array object which has a shape attribute
+        (NumPy or Pandas array).
     i : int
         Position of the axis.
 
@@ -3455,7 +3438,7 @@ def aslarray(a):
     {0}*\{1}* | 0 | 1 | 2
             0 | 0 | 1 | 2
             1 | 3 | 4 | 5
-    >>> # PandaS dataframe
+    >>> # Pandas dataframe
     >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
     ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
     >>> df = pd.DataFrame(data)
@@ -3518,16 +3501,17 @@ class LArray(object):
     --------
     >>> age = Axis('age', [10, 11, 12])
     >>> sex = Axis('sex', ['M', 'F'])
-    >>> time = Axis('time', ['2007', '2008', '2009'])
+    >>> time = Axis('time', [2007, 2008, 2009])
     >>> axes = [age, sex, time]
-    >>> ndrange(axes, 10)
+    >>> data = np.zeros((len(axes), len(sex), len(time)))
+    >>> LArray(data, axes)
     age | sex\\time | 2007 | 2008 | 2009
-     10 |        M |   10 |   11 |   12
-     10 |        F |   13 |   14 |   15
-     11 |        M |   16 |   17 |   18
-     11 |        F |   19 |   20 |   21
-     12 |        M |   22 |   23 |   24
-     12 |        F |   25 |   26 |   27
+     10 |        M |  0.0 |  0.0 |  0.0
+     10 |        F |  0.0 |  0.0 |  0.0
+     11 |        M |  0.0 |  0.0 |  0.0
+     11 |        F |  0.0 |  0.0 |  0.0
+     12 |        M |  0.0 |  0.0 |  0.0
+     12 |        F |  0.0 |  0.0 |  0.0
     >>> full(axes, 10.0)
     age | sex\\time | 2007 | 2008 | 2009
      10 |        M | 10.0 | 10.0 | 10.0
@@ -3583,14 +3567,14 @@ def __init__(self,
     # XXX: rename to posnonzero and implement a label version of nonzero
     def nonzero(self):
         """
-        Return the indices of the elements that are non-zero.
+        Returns the indices of the elements that are non-zero.
 
-        Returns a tuple of arrays, one for each dimension of a,
+        Specifically, it returns a tuple of arrays (one for each dimension)
         containing the indices of the non-zero elements in that dimension.
 
         Returns
         -------
-        tuple_of_arrays : tuple
+        tuple of arrays : tuple
             Indices of elements that are non-zero.
 
         Examples
@@ -3631,12 +3615,12 @@ def with_axes(self, axes):
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
          a1 |  3 |  4 |  5
-        >>> line = Axis('line', ['l0', 'l1'])
+        >>> row = Axis('row', ['r0', 'r1'])
         >>> column = Axis('column', ['c0', 'c1', 'c2'])
-        >>> arr.with_axes([line, column])
-        line\\column | c0 | c1 | c2
-                 l0 |  0 |  1 |  2
-                 l1 |  3 |  4 |  5
+        >>> arr.with_axes([row, column])
+        row\\column | c0 | c1 | c2
+                r0 |  0 |  1 |  2
+                r1 |  3 |  4 |  5
         """
         return LArray(self.data, axes)
 
@@ -3656,64 +3640,58 @@ def i(self):
         """
         Allows selection of a subset using positions of labels.
 
-        It works as the same way as basic slicing and indexing
-        in NumPy.
-
         Examples
         --------
-        >>> arr = ndtest((3, 3, 3))
+        >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2
-        a0 |  b0 |  0 |  1 |  2
-        a0 |  b1 |  3 |  4 |  5
-        a0 |  b2 |  6 |  7 |  8
-        a1 |  b0 |  9 | 10 | 11
-        a1 |  b1 | 12 | 13 | 14
-        a1 |  b2 | 15 | 16 | 17
-        a2 |  b0 | 18 | 19 | 20
-        a2 |  b1 | 21 | 22 | 23
-        a2 |  b2 | 24 | 25 | 26
-        >>> arr.i[[0,2],:,0:2]
-         a | b\\c | c0 | c1
-        a0 |  b0 |  0 |  1
-        a0 |  b1 |  3 |  4
-        a0 |  b2 |  6 |  7
-        a2 |  b0 | 18 | 19
-        a2 |  b1 | 21 | 22
-        a2 |  b2 | 24 | 25
+         a | b\\c | c0 | c1 | c2 | c3
+        a0 |  b0 |  0 |  1 |  2 |  3
+        a0 |  b1 |  4 |  5 |  6 |  7
+        a0 |  b2 |  8 |  9 | 10 | 11
+        a1 |  b0 | 12 | 13 | 14 | 15
+        a1 |  b1 | 16 | 17 | 18 | 19
+        a1 |  b2 | 20 | 21 | 22 | 23
+
+        >>> arr.i[:, 0:2, [0,2]]
+         a | b\\c | c0 | c2
+        a0 |  b0 |  0 |  2
+        a0 |  b1 |  4 |  6
+        a1 |  b0 | 12 | 14
+        a1 |  b1 | 16 | 18
         """
         return LArrayPositionalIndexer(self)
 
     @property
     def points(self):
         """
-        Allows selection of arbitrary items in the array based on their
-        N-dimensional label index. Each integer array represents a number
-        of indexes into that dimension.
-
-        It is similar to advanced indexing in NumPy but with labels.
+        Allows selection of arbitrary items in the array
+        based on their N-dimensional label index.
 
         Examples
         --------
-        >>> arr = ndtest((3, 3, 3))
+        >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2
-        a0 |  b0 |  0 |  1 |  2
-        a0 |  b1 |  3 |  4 |  5
-        a0 |  b2 |  6 |  7 |  8
-        a1 |  b0 |  9 | 10 | 11
-        a1 |  b1 | 12 | 13 | 14
-        a1 |  b2 | 15 | 16 | 17
-        a2 |  b0 | 18 | 19 | 20
-        a2 |  b1 | 21 | 22 | 23
-        a2 |  b2 | 24 | 25 | 26
-        >>> arr.points['a0,a2',:,'c0,c2']
-        a,c\\b | b0 | b1 | b2
-        a0,c0 |  0 |  3 |  6
-        a2,c2 | 20 | 23 | 26
-        >>> arr.points['a0,a2','b0,b2','c0,c2']
-        a,b,c | a0,b0,c0 | a2,b2,c2
-              |        0 |       26
+         a | b\\c | c0 | c1 | c2 | c3
+        a0 |  b0 |  0 |  1 |  2 |  3
+        a0 |  b1 |  4 |  5 |  6 |  7
+        a0 |  b2 |  8 |  9 | 10 | 11
+        a1 |  b0 | 12 | 13 | 14 | 15
+        a1 |  b1 | 16 | 17 | 18 | 19
+        a1 |  b2 | 20 | 21 | 22 | 23
+
+        To select the two points with label coordinates
+        [a0, b0, c0] and [a1, b2, c2], you must do:
+
+        >>> arr.points['a0,a1', 'b0,b2', 'c0,c2']
+        a,b,c | a0,b0,c0 | a1,b2,c2
+              |        0 |       22
+
+        The number of label(s) on each dimension must be equal:
+
+        >>> arr.points['a0,a1', 'b0,b2', 'c0,c1,c2'] # doctest: +NORMALIZE_WHITESPACE
+        Traceback (most recent call last):
+            ...
+        IndexError: shape mismatch: indexing arrays could not be broadcast together with shapes (2,) (2,) (3,)
         """
         return LArrayPointsIndexer(self)
 
@@ -3721,38 +3699,39 @@ def points(self):
     def ipoints(self):
         """
         Allows selection of arbitrary items in the array based on their
-        N-dimensional index. Each integer array represents a number of
-        indexes into that dimension.
-
-        It is similar to advanced indexing in NumPy.
+        N-dimensional index.
 
         Examples
         --------
-        >>> arr = ndtest((3, 3, 3))
+        >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2
-        a0 |  b0 |  0 |  1 |  2
-        a0 |  b1 |  3 |  4 |  5
-        a0 |  b2 |  6 |  7 |  8
-        a1 |  b0 |  9 | 10 | 11
-        a1 |  b1 | 12 | 13 | 14
-        a1 |  b2 | 15 | 16 | 17
-        a2 |  b0 | 18 | 19 | 20
-        a2 |  b1 | 21 | 22 | 23
-        a2 |  b2 | 24 | 25 | 26
-        >>> arr.ipoints[[0,2],:,[0,2]]
-        a,c\\b | b0 | b1 | b2
-        a0,c0 |  0 |  3 |  6
-        a2,c2 | 20 | 23 | 26
-        >>> arr.ipoints[[0,2],[0,2],[0,2]]
-        a,b,c | a0,b0,c0 | a2,b2,c2
-              |        0 |       26
+         a | b\\c | c0 | c1 | c2 | c3
+        a0 |  b0 |  0 |  1 |  2 |  3
+        a0 |  b1 |  4 |  5 |  6 |  7
+        a0 |  b2 |  8 |  9 | 10 | 11
+        a1 |  b0 | 12 | 13 | 14 | 15
+        a1 |  b1 | 16 | 17 | 18 | 19
+        a1 |  b2 | 20 | 21 | 22 | 23
+
+        To select the two points with index coordinates
+        [0, 0, 0] and [1, 2, 2], you must do:
+
+        >>> arr.ipoints[[0,1], [0,2], [0,2]]
+        a,b,c | a0,b0,c0 | a1,b2,c2
+              |        0 |       22
+
+        The number of index(es) on each dimension must be equal:
+
+        >>> arr.ipoints[[0,1], [0,2], [0,1,2]] # doctest: +NORMALIZE_WHITESPACE
+        Traceback (most recent call last):
+            ...
+        IndexError: shape mismatch: indexing arrays could not be broadcast together with shapes (2,) (2,) (3,)
         """
         return LArrayPositionalPointsIndexer(self)
 
     def to_frame(self, fold_last_axis_name=False, dropna=None):
         """
-        Converts LArray into PandaS DataFrame.
+        Converts LArray into Pandas DataFrame.
 
         Parameters
         ----------
@@ -3765,7 +3744,7 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
 
         Returns
         -------
-        PandaS DataFrame
+        Pandas DataFrame
 
         Examples
         --------
@@ -3821,7 +3800,7 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
 
     def to_series(self, dropna=False):
         """
-        Converts LArray into PandaS Series.
+        Converts LArray into Pandas Series.
 
         Parameters
         ----------
@@ -3830,7 +3809,7 @@ def to_series(self, dropna=False):
 
         Returns
         -------
-        PandaS DataFrame
+        Pandas Series
 
         Examples
         --------
@@ -3890,17 +3869,17 @@ def rename(self, renames=None, to=None, **kwargs):
         ----------
         renames : axis ref or dict {axis ref: str} or
                   list of tuple (axis ref, str)
-            renames to apply. If a single axis reference is given, the "to"
+            Renames to apply. If a single axis reference is given, the "to"
             argument must be used.
         to : str or Axis
-            new name if renames contains a single axis reference
+            New name if renames contains a single axis reference
         **kwargs : str
-            new name for each axis given as a keyword argument.
+            New name for each axis given as a keyword argument.
 
         Returns
         -------
         LArray
-            array with some axes renamed.
+            Array with some axes renamed.
 
         Examples
         --------
@@ -3915,7 +3894,7 @@ def rename(self, renames=None, to=None, **kwargs):
         nat2\\sex | M | F
               BE | 0 | 1
               FO | 2 | 3
-        >>> arr.rename(nat='nat2',sex='sex2')
+        >>> arr.rename(nat='nat2', sex='sex2')
         nat2\\sex2 | M | F
                BE | 0 | 1
                FO | 2 | 3
@@ -3939,18 +3918,18 @@ def rename(self, renames=None, to=None, **kwargs):
         return LArray(self.data, axes)
 
     def sort_values(self, key):
-        """Sorts values of the LArray.
+        """Sorts values of the array.
 
         Parameters
         ----------
         key : scalar or tuple or Group
-            key along which to sort.
+            Key along which to sort.
             Must have exactly one dimension less than ndim.
 
         Returns
         -------
         LArray
-            LArray with sorted values.
+            Array with sorted values.
 
         Examples
         --------
@@ -4006,7 +3985,7 @@ def sort_values(self, key):
 
     # XXX: rename to sort_axes?
     def sort_axis(self, axes=None, reverse=False):
-        """Sorts axes of the LArray.
+        """Sorts axes of the array.
 
         Parameters
         ----------
@@ -4080,7 +4059,8 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
 
         Returns
         -------
-        PGroup with valid axis (from self.axes)
+        PGroup
+            Positional group with valid axes (from self.axes)
         """
 
         if isinstance(axis_key, Group):
@@ -4133,11 +4113,12 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         return valid_axes[0].i[axis_pos_key]
 
     def _translate_axis_key(self, axis_key, bool_passthrough=True):
-        """same as chunk.
+        """Same as chunk.
 
         Returns
         -------
-        PGroup with valid axis (from self.axes)
+        PGroup
+            Positional group with valid axes (from self.axes)
         """
         # TODO: do it for Group without axis too
         # TODO: do it for LArray key too (but using .i[] instead)
@@ -4174,13 +4155,6 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             return self._translate_axis_key_chunk(axis_key, bool_passthrough)
 
     def _guess_axis(self, axis_key):
-        """
-        ???
-
-        Returns
-        -------
-        PGroup with valid axis (from self.axes)
-        """
         if isinstance(axis_key, Group):
             group_axis = axis_key.axis
             if group_axis is not None:
@@ -4216,7 +4190,7 @@ def _guess_axis(self, axis_key):
 
     # TODO: move this to AxisCollection
     def _translated_key(self, key, bool_stuff=False):
-        """Complete and translate key
+        """Completes and translates key
 
         Parameters
         ----------
@@ -4226,7 +4200,7 @@ def _translated_key(self, key, bool_stuff=False):
 
         Returns
         -------
-        Returns a full N dimensional positional key
+        Returns a full N dimensional positional key.
         """
 
         if isinstance(key, np.ndarray) and np.issubdtype(key.dtype, np.bool_) \
@@ -4327,12 +4301,12 @@ def _cross_key(self, key):
 
         Parameters
         ----------
-        key : complete (contains all dimensions) index-based key
+        key : complete (contains all dimensions) index-based key.
 
         Returns
         -------
         key
-            A key for indexing the cross product
+            A key for indexing the cross product.
         """
 
         # handle advanced indexing with more than one indexing array:
@@ -4565,7 +4539,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                 axes_labels = [axis.labels[axis_key]
                                for axis_key, axis in zip(key, self.axes)
                                if not _isnoneslice(axis_key) and
-                               not np.isscalar(axis_key)]
+                                  not np.isscalar(axis_key)]
                 if len(combined_axes) == 1:
                     # Q: if axis is a wildcard axis, should the result be a
                     #    wildcard axis (and axes_labels discarded?)
@@ -4581,7 +4555,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
 
     def set(self, value, **kwargs):
         """
-        Sets a subset of LArray to value
+        Sets a subset of array to value.
 
         * all common axes must be either of length 1 or the same length
         * extra axes in value must be of length 1
@@ -4599,13 +4573,13 @@ def set(self, value, **kwargs):
          a0 |  0 |  1 |  2
          a1 |  3 |  4 |  5
          a2 |  6 |  7 |  8
-        >>> arr['a1:','b1:'].set(10)
+        >>> arr['a1:', 'b1:'].set(10)
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
          a1 |  3 | 10 | 10
          a2 |  6 | 10 | 10
-        >>> arr['a1:','b1:'].set(ndtest((2, 2)))
+        >>> arr['a1:', 'b1:'].set(ndtest((2, 2)))
         >>> arr
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
@@ -4616,8 +4590,8 @@ def set(self, value, **kwargs):
 
     def reshape(self, target_axes):
         """
-        Given a list of new axes, changes the shape shape of the array.
-        The size of the array (= number of stored data) must be equal
+        Given a list of new axes, changes the shape of the array.
+        The size of the array (= number of elements) must be equal
         to the product of length of target axes.
 
         Parameters
@@ -4630,7 +4604,7 @@ def reshape(self, target_axes):
         Returns
         -------
         LArray
-            New LArray with new axes but same data.
+            New array with new axes but same data.
 
         Examples
         --------
@@ -4664,7 +4638,7 @@ def reshape(self, target_axes):
 
     def reshape_like(self, target):
         """
-        Same as reshape but with a LArray as input.
+        Same as reshape but with an array as input.
         Total size (= number of stored data) of the two arrays must be equal.
 
         See Also
@@ -4690,8 +4664,8 @@ def reshape_like(self, target):
 
     def broadcast_with(self, other):
         """
-        Returns a LArray that is (NumPy) broadcastable with target.
-        Target can be either a LArray or any collection of Axis
+        Returns an array that is (NumPy) broadcastable with target.
+        Target can be either a LArray or any collection of Axis.
 
         * all common axes must be either of length 1 or the same length
         * extra axes in source can have any length and will be moved to the
@@ -4714,8 +4688,7 @@ def broadcast_with(self, other):
                 other_axes = AxisCollection(other_axes)
         if self.axes == other_axes:
             return self
-        # AD? -- | = union and & = intersection
-        # AD? -- Why not just | ?
+
         target_axes = (self.axes - other_axes) | other_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']
@@ -4738,10 +4711,11 @@ def broadcast_with(self, other):
     # wonder if there would be a risk of wildcard axes inadvertently leaking.
     # plus it might be confusing if incompatible labels "work".
     def drop_labels(self, axes=None):
-        """Drops the labels from axes (replace those axes by "wildcard" axes)
+        """Drops the labels from axes (replace those axes by "wildcard" axes).
 
-        Useful when you want to apply operations between two arrays or subarrays
-        with same shape but incompatible axes (different labels).
+        Useful when you want to apply operations between two arrays
+        or subarrays with same shape but incompatible axes
+        (different labels).
 
         Parameters
         ----------
@@ -4824,7 +4798,7 @@ def __iter__(self):
 
     def as_table(self, maxlines=None, edgeitems=5):
         """
-        Generator. Returns next line of the table representing a LArray.
+        Generator. Returns next line of the table representing an array.
 
         Parameters
         ----------
@@ -4888,7 +4862,7 @@ def as_table(self, maxlines=None, edgeitems=5):
                 yield list(tick) + dataline.tolist()
 
     def dump(self, header=True):
-        """dump array as a 2D nested list
+        """Dump array as a 2D nested list
 
         Parameters
         ----------
@@ -4940,8 +4914,6 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         keepaxes : bool or scalar, optional
             If this is set to True, the axes which are reduced are
             left in the result as dimensions with size one.
-            With this option, the result will broadcast correctly against
-            the input array.
 
         Returns
         -------
@@ -5450,7 +5422,7 @@ def argsort(self, axis=None, kind='quicksort'):
     def posargsort(self, axis=None, kind='quicksort'):
         """Returns the indices that would sort this array.
 
-        Perform an indirect sort along the given axis using the algorithm
+        Performs an indirect sort along the given axis using the algorithm
         specified by the `kind` keyword. It returns an array of indices
         with the same axes as `a` that index data along the given axis in
         sorted order.
@@ -5503,7 +5475,7 @@ def info(self):
         Returns
         -------
         str
-            Description of the LArray (shape and labels for each axis).
+            Description of the array (shape and labels for each axis).
 
         Examples
         --------
@@ -5518,7 +5490,7 @@ def info(self):
         return self.axes.info
 
     def ratio(self, *axes):
-        """Returns a LArray with all values divided by the
+        """Returns an array with all values divided by the
          sum of values along given axes.
 
         Parameters
@@ -5871,18 +5843,18 @@ def expand(self, target_axes=None, out=None, readonly=False):
         Parameters
         ----------
         target_axes : list of Axis or AxisCollection, optional
-            self can contain axes not present in `target_axes`.
+            Self can contain axes not present in `target_axes`.
             The result axes will be: [self.axes not in target_axes] + target_axes
         out : LArray, optional
-            output array, must have the correct shape
+            Output array, must have the correct shape
         readonly : bool, optional
-            whether returning a readonly view is acceptable or not (this is
+            Whether returning a readonly view is acceptable or not (this is
             much faster)
 
         Returns
         -------
         LArray
-            original array if possible (and out is None).
+            Original array if possible (and out is None).
 
         Examples
         --------
@@ -5938,9 +5910,9 @@ def expand(self, target_axes=None, out=None, readonly=False):
         return out
 
     def append(self, axis, value, label=None):
-        """Adds a LArray to the current one along an axis.
+        """Adds an array to self along an axis.
 
-        The input and the current arrays must have compatible axes.
+        The two arrays must have compatible axes.
 
         Parameters
         ----------
@@ -5996,9 +5968,9 @@ def append(self, axis, value, label=None):
         return self.extend(axis, value)
 
     def prepend(self, axis, value, label=None):
-        """Adds a LArray before the current one along an axis.
+        """Adds an array before self along an axis.
 
-        The input and the current arrays must have compatible axes.
+        The two arrays must have compatible axes.
 
         Parameters
         ----------
@@ -6054,9 +6026,9 @@ def prepend(self, axis, value, label=None):
         return value.extend(axis, self)
 
     def extend(self, axis, other):
-        """Adds a LArray to the current one along an axis.
+        """Adds an to self along an axis.
 
-        The input and the current arrays must have compatible axes.
+        The two arrays must have compatible axes.
 
         Parameters
         ----------
@@ -6114,8 +6086,9 @@ def transpose(self, *args):
 
         Parameters
         ----------
-        *args
-            Accepts either a tuple of axes specs or axes specs as *args
+        args
+            Accepts either a tuple of axes specs or
+            axes specs as `*args`.
 
         Returns
         -------
@@ -6192,13 +6165,12 @@ def clip(self, a_min, a_max, out=None):
         For example, if an interval of [0, 1] is specified, values smaller than 0 become 0,
         and values larger than 1 become 1.
 
-        Parameters:
-        -----------
+        Parameters
+        ----------
         a_min : scalar or array-like
             Minimum value.
         a_max : scalar or array-like
-            Maximum value.  If `a_min` or `a_max` are array_like, then they will
-            be broadcasted to the shape of the current array.
+            Maximum value.
         out : LArray, optional
             The results will be placed in this array.
 
@@ -6208,6 +6180,11 @@ def clip(self, a_min, a_max, out=None):
             An array with the elements of the current array, but where
             values < `a_min` are replaced with `a_min`, and those > `a_max`
             with `a_max`.
+
+        Notes
+        -----
+        If `a_min` and/or `a_max` are array_like, broadcast will occur between
+        self, `a_min` and `a_max`.
         """
         from larray.ufuncs import clip
         return clip(self, a_min, a_max, out)
@@ -6273,22 +6250,22 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
     def to_hdf(self, filepath, key, *args, **kwargs):
         """
-        Writes LArray to a HDF file.
+        Writes array to a HDF file.
 
-        A HDF file can contain multiple LArray's.
-        The 'key' parameter is a unique identifier for the LArray.
+        A HDF file can contain multiple arrays.
+        The 'key' parameter is a unique identifier for the array.
 
         Parameters
         ----------
         filepath : str
             Path where the hdf file has to be written.
         key : str
-            Name of the matrix within the HDF file.
+            Name of the array within the HDF file.
         *args
         **kargs
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.to_hdf('test.h5', 'a')
         """
@@ -6298,38 +6275,38 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
                  overwrite_file=False, clear_sheet=False, header=True,
                  transpose=False, engine=None, *args, **kwargs):
         """
-        Writes LArray in the specified sheet of specified excel workbook.
+        Writes array in the specified sheet of specified excel workbook.
 
         Parameters
         ----------
         filepath : str or int or None, optional
-            path where the excel file has to be written. If None (default),
+            Path where the excel file has to be written. If None (default),
             creates a new Excel Workbook in a live Excel instance
             (Windows only). Use -1 to use the currently active Excel
             Workbook. Use a name without extension (.xlsx) to use any
             *unsaved* workbook.
         sheet_name : str or int or None, optional
-            sheet where the data has to be written. Defaults to None,
+            Sheet where the data has to be written. Defaults to None,
             Excel standard name if adding a sheet to an existing file,
             "Sheet1" otherwise. sheet_name can also refer to the position of
             the sheet (e.g. 0 for the first sheet, -1 for the last one).
         position : str or tuple of integers, optional
             Integer position (row, column) must be 1-based. Defaults to 'A1'.
         overwrite_file : bool, optional
-            whether or not to overwrite the existing file (or just modify the
+            Whether or not to overwrite the existing file (or just modify the
             specified sheet). Defaults to False.
         clear_sheet : bool, optional
-            whether or not to clear the existing sheet (if any) before writing.
+            Whether or not to clear the existing sheet (if any) before writing.
             Defaults to False.
         header : bool, optional
-            whether or not to write a header (axes names and labels).
+            Whether or not to write a header (axes names and labels).
             Defaults to True.
         transpose : bool, optional
-            whether or not to transpose the resulting array. This can be used,
+            Whether or not to transpose the resulting array. This can be used,
             for example, for writing one dimensional arrays vertically.
             Defaults to False.
         engine : 'xlwings' | 'openpyxl' | 'xlsxwriter' | 'xlwt' | None, optional
-            engine to use to make the output. If None (default), it will use
+            Engine to use to make the output. If None (default), it will use
             'xlwings' by default if the module is installed and relies on
             Pandas default writer otherwise.
         *args
@@ -6391,10 +6368,10 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             df.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
 
     def to_clipboard(self, *args, **kwargs):
-        """Sends the content of a LArray to clipboard.
+        """Sends the content of the array to clipboard.
 
-        Using to_clipboard() makes it possible to paste the content of LArray
-        into a file (Excel, ascii file,...).
+        Using to_clipboard() makes it possible to paste the content
+        of the array into a file (Excel, ascii file,...).
 
         Examples
         --------
@@ -6443,7 +6420,7 @@ def to_clipboard(self, *args, **kwargs):
 
     @property
     def plot(self):
-        """Plots the data of a LArray into a graph (window pop-up).
+        """Plots the data of the array into a graph (window pop-up).
 
         The graph can be tweaked to achieve the desired formatting and can be
         saved to a .png file.
@@ -6457,15 +6434,15 @@ def plot(self):
 
     @property
     def shape(self):
-        """Returns string representation of current shape.
+        """Returns the shape of the array as a tuple.
 
         Returns
         -------
         tuple
             Tuple representing the current shape.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
         >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
@@ -6481,8 +6458,8 @@ def ndim(self):
         int
             Number of dimensions of a LArray.
 
-        Example
-        -------
+        Examples
+        --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.ndim
         2
@@ -6491,12 +6468,12 @@ def ndim(self):
 
     @property
     def size(self):
-        """Returns the number of date stored in array.
+        """Returns the number of elements in array.
 
         Returns
         -------
         int
-            Number of data stored in array.
+            Number of elements in array.
 
         Examples
         --------
@@ -6542,12 +6519,12 @@ def memory_used(self):
 
     @property
     def dtype(self):
-        """Returns the type of the data in the cells of LArray.
+        """Returns the type of the data of the array.
 
         Returns
         -------
         dtype
-            Type of the data in the cells of LArray.
+            Type of the data of the array.
 
         Examples
         --------
@@ -6575,17 +6552,17 @@ def set_labels(self, axis, labels, inplace=False):
         Parameters
         ----------
         axis
-            the axis for which we want to replace the labels.
+            Axis for which we want to replace the labels.
         labels : list of axis labels
-            the new labels.
+            New labels.
         inplace : bool
-            whether or not to modify the original object or return a new
-            LArray and leave the original intact.
+            Whether or not to modify the original object or return a new
+            array and leave the original intact.
 
         Returns
         -------
         LArray
-            array with modified labels.
+            Array with modified labels.
 
         Examples
         --------
@@ -6613,14 +6590,14 @@ def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
     astype.__doc__ = np.ndarray.astype.__doc__
 
     def shift(self, axis, n=1):
-        """Shifts the cells of a LArray n-times to the left along axis.
+        """Shifts the cells of the array n-times to the left along axis.
 
         Parameters
         ----------
         axis : int, str or Axis
-            the axis for which we want to perform the shift.
+            Axis for which we want to perform the shift.
         n : int
-            the number of cells to shift.
+            Number of cells to shift.
 
         Returns
         -------
@@ -6663,8 +6640,8 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         Parameters
         ----------
         axis : int, str or Axis, optional
-            The axis along which the difference is taken. Defaults to the last
-            axis.
+            Axis along which the difference is taken.
+            Defaults to the last axis.
 
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
@@ -6672,15 +6649,16 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         n : int, optional
             The number of times values are differenced. Defaults to 1.
 
-        label : 'lower' or 'upper', optional
+        label : {'lower', 'upper'}, optional
             The new labels in `axis` will have the labels of either
             the array being subtracted ('lower') or the array it is
             subtracted from ('upper'). Defaults to 'upper'.
 
         Returns
         -------
-        LArray : The n-th order differences. The shape of the output is the same
-        as `a` except for `axis` which is smaller by `n` * `d`.
+        LArray :
+            The n-th order differences. The shape of the output is the same
+            as `a` except for `axis` which is smaller by `n` * `d`.
 
         Examples
         --------
@@ -6727,13 +6705,13 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         Parameters
         ----------
         axis : int, str or Axis, optional
-            The axis along which the difference is taken. Defaults to the last
-            axis.
+            Axis along which the difference is taken.
+            Defaults to the last axis.
 
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
 
-        label : 'lower' or 'upper', optional
+        label : {'lower', 'upper'}, optional
             The new labels in `axis` will have the labels of either
             the array being subtracted ('lower') or the array it is
             subtracted from ('upper'). Defaults to 'upper'.
@@ -6766,13 +6744,13 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
     def compact(self):
-        """ Detects and removes "useless" axes
+        """Detects and removes "useless" axes
         (ie axes for which values are constant over the whole axis)
 
         Returns
         -------
         LArray or scalar
-            array with constant axes removed
+            Array with constant axes removed.
 
         Examples
         --------
@@ -6884,7 +6862,7 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
              na=np.nan, sort_rows=False, sort_columns=False,
              dialect='larray', **kwargs):
     """
-    Reads csv file and returns a Larray with the contents
+    Reads csv file and returns an array with the contents.
 
     Note
     ----
@@ -6899,17 +6877,16 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
     Parameters
     ----------
     filepath : str
-        path where the csv file has to be written.
+        Path where the csv file has to be written.
     nb_index : int, optional
-        number of leading index columns (ex. 4).
+        Number of leading index columns (ex. 4).
     index_col : list, optional
-        list of columns for the index (ex. [0, 1, 2, 3]).
+        List of columns for the index (ex. [0, 1, 2, 3]).
     sep : str, optional
-        separator.
+        Separator.
     headersep : str or None, optional
-        ???.
-    na : ???
-        ???.
+    na : scalar, optional
+        Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
         Whether or not to sort the row dimensions alphabetically (sorting is
         more efficient than not sorting). Defaults to False.
@@ -7001,7 +6978,7 @@ def read_tsv(filepath, **kwargs):
 
 
 def read_eurostat(filepath, **kwargs):
-    """Reads EUROSTAT TSV (tab-separated) file into an LArray
+    """Reads EUROSTAT TSV (tab-separated) file into an array.
 
     EUROSTAT TSV files are special because they use tabs as data
     separators but comas to separate headers.
@@ -7009,9 +6986,9 @@ def read_eurostat(filepath, **kwargs):
     Parameters
     ----------
     filepath : str
-        Path to the file
+        Path to the file.
     kwargs
-        Arbitrary keyword arguments are passed through to read_csv
+        Arbitrary keyword arguments are passed through to read_csv.
 
     Returns
     -------
@@ -7022,14 +6999,14 @@ def read_eurostat(filepath, **kwargs):
 
 def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
              **kwargs):
-    """Reads a LArray named key from a h5 file in filepath (path+name)
+    """Reads an array named key from a HDF5 file in filepath (path+name)
 
     Parameters
     ----------
     filepath : str
-        the filepath and name where the h5 file is stored.
+        Filepath and name where the HDF5 file is stored.
     key : str
-        the name of the LArray
+        Name of the array.
 
     Returns
     -------
@@ -7065,7 +7042,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
 def read_sas(filepath, nb_index=0, index_col=[],
              na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """
-    reads sas file and returns an LArray with the contents
+    Reads sas file and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
@@ -7078,15 +7055,15 @@ def read_sas(filepath, nb_index=0, index_col=[],
 
 
 def zeros(axes, dtype=float, order='C'):
-    """Returns a LArray with the specified axes and filled with zeros.
+    """Returns an array with the specified axes and filled with zeros.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
-        a collection of axes or a shape.
+        Collection of axes or a shape.
     dtype : data-type, optional
-        The desired data-type for the array, e.g., `numpy.int8`.  Default is
-        `numpy.float64`.
+        Desired data-type for the array, e.g., `numpy.int8`.
+        Default is `numpy.float64`.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- (default) or
         Fortran-contiguous (row- or column-wise) order in memory.
@@ -7118,12 +7095,12 @@ def zeros(axes, dtype=float, order='C'):
 
 
 def zeros_like(array, dtype=None, order='K'):
-    """Returns a LArray with the same axes as array and filled with zeros.
+    """Returns an array with the same axes as array and filled with zeros.
 
     Parameters
     ----------
     array : LArray
-         is an array object.
+         Input array.
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7149,14 +7126,14 @@ def zeros_like(array, dtype=None, order='K'):
 
 
 def ones(axes, dtype=float, order='C'):
-    """Returns a LArray with the specified axes and filled with ones.
+    """Returns an array with the specified axes and filled with ones.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
-        a collection of axes or a shape.
+        Collection of axes or a shape.
     dtype : data-type, optional
-        The desired data-type for the array, e.g., `numpy.int8`.  Default is
+        Desired data-type for the array, e.g., `numpy.int8`.  Default is
         `numpy.float64`.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- (default) or
@@ -7180,12 +7157,12 @@ def ones(axes, dtype=float, order='C'):
 
 
 def ones_like(array, dtype=None, order='K'):
-    """Returns a LArray with the same axes as array and filled with ones.
+    """Returns an array with the same axes as array and filled with ones.
 
     Parameters
     ----------
     array : LArray
-        is an array object.
+        Input array.
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7211,15 +7188,15 @@ def ones_like(array, dtype=None, order='K'):
 
 
 def empty(axes, dtype=float, order='C'):
-    """Returns a LArray with the specified axes and uninitialized (arbitrary)
-    data.
+    """Returns an array with the specified axes and uninitialized
+    (arbitrary) data.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
-        a collection of axes or a shape.
+        Collection of axes or a shape.
     dtype : data-type, optional
-        The desired data-type for the array, e.g., `numpy.int8`.  Default is
+        Desired data-type for the array, e.g., `numpy.int8`.  Default is
         `numpy.float64`.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- (default) or
@@ -7243,13 +7220,13 @@ def empty(axes, dtype=float, order='C'):
 
 
 def empty_like(array, dtype=None, order='K'):
-    """Returns a LArray with the same axes as array and uninitialized
-    (arbitrary) data.
+    """Returns an array with the same axes as array and
+    uninitialized (arbitrary) data.
 
     Parameters
     ----------
     array : LArray
-        is an array object.
+        Input array.
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7276,16 +7253,16 @@ def empty_like(array, dtype=None, order='K'):
 
 
 def full(axes, fill_value, dtype=None, order='C'):
-    """Returns a LArray with the specified axes and filled with fill_value.
+    """Returns an array with the specified axes and filled with fill_value.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
-        a collection of axes or a shape.
+        Collection of axes or a shape.
     fill_value : scalar or LArray
-        value to fill the array
+        Value to fill the array
     dtype : data-type, optional
-        The desired data-type for the array. Default is the data type of
+        Desired data-type for the array. Default is the data type of
         fill_value.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- (default) or
@@ -7296,8 +7273,7 @@ def full(axes, fill_value, dtype=None, order='C'):
     LArray
 
     Examples
-    ========
-
+    --------
     >>> nat = Axis('nat', ['BE', 'FO'])
     >>> sex = Axis('sex', ['M', 'F'])
     >>> full([nat, sex], 42.0)
@@ -7320,14 +7296,14 @@ def full(axes, fill_value, dtype=None, order='C'):
 
 
 def full_like(array, fill_value, dtype=None, order='K'):
-    """Returns a LArray with the same axes as array and filled with fill_value.
+    """Returns an array with the same axes as input array and filled with fill_value.
 
     Parameters
     ----------
     array : LArray
-        is an array object.
+        Input array.
     fill_value : scalar or LArray
-        value to fill the array
+        Value to fill the array
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7373,19 +7349,19 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
     Parameters
     ----------
     axis : axis reference (Axis, str, int)
-        axis along which to apply mod.
+        Axis along which to apply mod.
     initial : scalar or LArray, optional
-        value for the first label of axis. Defaults to 0.
+        Value for the first label of axis. Defaults to 0.
     inc : scalar, LArray, optional
-        value to increment the previous value by. Defaults to 0 if mult is
+        Value to increment the previous value by. Defaults to 0 if mult is
         provided, 1 otherwise.
     mult : scalar, LArray, optional
-        value to multiply the previous value by. Defaults to 1.
+        Value to multiply the previous value by. Defaults to 1.
     func : function/callable, optional
-        function to apply to the previous value. Defaults to None. Note that
+        Function to apply to the previous value. Defaults to None. Note that
         this is much slower than using inc and/or mult.
     axes : int, tuple of int or tuple/list/AxisCollection of Axis, optional
-        axes of the result. Defaults to the union of axes present in other
+        Axes of the result. Defaults to the union of axes present in other
         arguments.
 
     Examples
@@ -7561,12 +7537,12 @@ def array_or_full(a, axis, initial):
 
 
 def ndrange(axes, start=0, dtype=int):
-    """Returns a LArray with the specified axes and filled with increasing int.
+    """Returns an array with the specified axes and filled with increasing int.
 
     Parameters
     ----------
     axes : single axis or tuple/list/AxisCollection of axes
-        the axes of the array to create.
+        Axes of the array to create.
         Each axis can be given as either:
         * Axis object: actual axis object to use.
         * single int: length of axis. will create a wildcard axis of that
@@ -7631,6 +7607,7 @@ def ndrange(axes, start=0, dtype=int):
 
 def ndtest(shape, start=0, dtype=int, label_start=0):
     """Returns test array with given shape.
+
     Axes are named by single letters starting from 'a'. Axes labels are
     constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). Values
     start from `start` increase by steps of 1.
@@ -7638,15 +7615,15 @@ def ndtest(shape, start=0, dtype=int, label_start=0):
     Parameters
     ----------
     shape : int, tuple or list
-        shape of the array to create. An int can be used directly for one
+        Shape of the array to create. An int can be used directly for one
         dimensional arrays.
     start : int or float, optional
-        start value
+        Start value
     label_start : int, optional
-        label_pos for each axis is `label_start + position`. `label_start`
-        defaults to 0.
+        Label position for each axis is `label_start + position`.
+        `label_start` defaults to 0.
     dtype : type or np.dtype, optional
-        type of resulting array.
+        Type of resulting array.
 
     Returns
     -------
@@ -7883,7 +7860,7 @@ def eye(rows, columns=None, k=0, dtype=None):
 # stack(a1, a2, axis='sex')
 def stack(arrays, axis=None):
     """
-    Combines several arrays along an axis
+    Combines several arrays along an axis.
 
     Parameters
     ----------
@@ -7895,7 +7872,7 @@ def stack(arrays, axis=None):
     Returns
     -------
     LArray
-        a single array combining arrays.
+        A single array combining arrays.
 
     Examples
     --------
@@ -8066,7 +8043,7 @@ def evaluate(self, context):
         Parameters
         ----------
         context : AxisCollection
-            use axes from this collection
+            Use axes from this collection
         """
         return context[self]
 
@@ -8132,7 +8109,7 @@ def make_numpy_broadcastable(values):
     """
     Returns values where LArrays are (NumPy) broadcastable between them.
     For that to be possible, all common axes must be compatible
-    (same name and length).
+    (see Axis class documentation).
     Extra axes (in any array) can have any length.
 
     * the resulting arrays will have the combination of all axes found in the
@@ -8153,6 +8130,10 @@ def make_numpy_broadcastable(values):
         input arrays, the earlier arrays defining the order of axes.
     AxisCollection
         Collection of axes of all input arrays.
+
+    See Also
+    --------
+    Axis.iscompatible : tests if axes are compatible between them.
     """
     all_axes = AxisCollection.union(*[get_axes(v) for v in values])
     return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v

From db90a95e501d0fe28dff5208126ae8b69c488276 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Dec 2016 14:00:19 +0100
Subject: [PATCH 231/899] Update doctstrings of viewer.py module

---
 larray/session.py |  4 ++--
 larray/viewer.py  | 36 ++++++++++++++++++++++++++++++++++--
 2 files changed, 36 insertions(+), 4 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index b0ba2b653..7b5c7b743 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -125,7 +125,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
 
 class PandasHDFHandler(FileHandler):
     """
-    Handler for HDF5 files using PandaS.
+    Handler for HDF5 files using Pandas.
     """
     def _open_for_read(self):
         self.handle = HDFStore(self.fname, mode='r')
@@ -148,7 +148,7 @@ def close(self):
 
 class PandasExcelHandler(FileHandler):
     """
-    Handler for Excel files using PandaS.
+    Handler for Excel files using Pandas.
     """
     def _open_for_read(self):
         self.handle = ExcelFile(self.fname)
diff --git a/larray/viewer.py b/larray/viewer.py
index 08b161afd..5a901d9c7 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -386,9 +386,9 @@ class ArrayModel(QAbstractTableModel):
     bg_value : ???, optional
         Background color value
     minvalue : scalar
-        Minimum value that can be represented.
+        Minimum value allowed.
     maxvalue : scalar
-        Maximum value that can be represented.
+        Maximum value allowed.
     """
 
     ROWS_TO_LOAD = 500
@@ -2398,6 +2398,23 @@ def get_title(obj, depth=0, maxnames=3):
 
 
 def edit(obj=None, title='', minvalue=None, maxvalue=None):
+    """
+    Starts a new editor window. If no session object or
+    array dictionary is provided as argument, all local
+    arrays are loaded in the editor.
+
+    obj : Session or dict of LArray, optional
+        Session or a dictionary of arrays to
+        load in user interface. By default,
+        all existing local arrays are loaded.
+    title : str, optional
+        Title for the current session.
+        A default one is generated if not provided.
+    minvalue : scalar, optional
+        Minimum value allowed.
+    maxvalue : scalar, optional
+        Maximum value allowed.
+    """
     _app = qapplication()
     if obj is None:
         obj = la.local_arrays(depth=1)
@@ -2418,6 +2435,21 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None):
 
 
 def view(obj=None, title=''):
+    """
+    Starts a new viewer window. Arrays are loaded in
+    readonly mode and their content cannot be modified.
+
+    If no session object or array dictionary is provided
+    as argument, all local arrays are loaded in the editor.
+
+    obj : Session or dict of LArray, optional
+        Session or a dictionary of arrays to
+        load in user interface. By default,
+        all existing local arrays are loaded.
+    title : str, optional
+        Title for the current session.
+        A default one is generated if not provided.
+    """
     _app = qapplication()
     if obj is None:
         obj = la.local_arrays(depth=1)

From d59bc93221bc5b07b0d391f8c4064258590a75ba Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Dec 2016 14:05:48 +0100
Subject: [PATCH 232/899] Update .travis.yml --> remove  forcing version 4.x in
 pyqt

---
 .travis.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index bddb7f794..16d79fa19 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -45,7 +45,7 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy pandas pytables pyqt=4 qtpy matplotlib xlrd openpyxl
+            numpy pandas pytables pyqt qtpy matplotlib xlrd openpyxl
             xlsxwriter nose
     - source activate travisci
 

From 041f24ecc4d10dccaac738030f5738ff61e8d58e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Dec 2016 14:37:47 +0100
Subject: [PATCH 233/899] small update of doctstrings in core.py

---
 larray/core.py | 10 +++-------
 1 file changed, 3 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 90c489e64..630902e9b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -544,7 +544,7 @@ def larray_equal(first, other):
     >>> b['F'] += 1
     >>> larray_equal(a, b)
     False
-    >>> b = a.set_labels(x.sex, ['Men', 'Women']).copy()
+    >>> b = a.set_labels(x.sex, ['Men', 'Women'])
     >>> larray_equal(a, b)
     False
     """
@@ -690,10 +690,6 @@ def _sorted_keys(self):
 
     @property
     def _sorted_values(self):
-        # TODO: simplify this method
-        # AD -- if self.__sorted_values is None:
-        #          self._update_key_values()
-        #       return self.__sorted_values
         values = self.__sorted_values
         if values is None:
             _, values = self._update_key_values()
@@ -3396,7 +3392,7 @@ def get_axis(obj, i):
     -------
     Axis
         Axis corresponding to the given position if input `obj` is a LArray.
-        A new anonymous Axis with the same length of the ith dimension of
+        A new anonymous Axis with the length of the ith dimension of
         the input `obj` otherwise.
 
     Examples
@@ -4498,7 +4494,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         """
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
                          if not _isnoneslice(axis_key) and
-                         not np.isscalar(axis_key)]
+                            not np.isscalar(axis_key)]
         # scalar axes are not taken, since we want to kill them
         other_axes = [axis for axis_key, axis in zip(key, self.axes)
                       if _isnoneslice(axis_key)]

From ecba357d33b7b9bba31df8c0298d0d9f4bf92f66 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 29 Nov 2016 13:26:59 +0100
Subject: [PATCH 234/899] added a new "condensed" option for ipfp's
 display_progress argument to get back the old behavior

---
 larray/ipfp.py | 16 ++++++++++++----
 1 file changed, 12 insertions(+), 4 deletions(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index b7716407b..2ea0f8d8b 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -63,8 +63,10 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         'ignore': return values computed up to that point (silently)
         'warn': return values computed up to that point and print a warning
         'raise': raise an exception (default)
-    display_progress : bool, optional
+    display_progress : False, True or 'condensed', optional
         whether or not to display progress. Defaults to False.
+        if 'condensed' will display progress using a denser template (using one
+        line per iteration).
 
     Returns
     -------
@@ -72,6 +74,8 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}
+    assert isinstance(display_progress, bool) or display_progress == 'condensed'
+
     target_sums = [la.aslarray(ts) for ts in target_sums]
 
     def rename_axis(axis, name):
@@ -174,12 +178,16 @@ def rename_axis(axis, name):
         step_sum_improvement = lastdiffs[-1] - max_sum_diff
 
         if display_progress:
-            print("""iteration %d
+            if display_progress == "condensed":
+                template = "it %d max cell diff %s max diff to target %s (%s)"
+            else:
+                template = """iteration %d
  * max(abs(prev_cell - cell)): %s
  * max(abs(sum - target_sum)): %s
    \- change since last iteration: %s
-""" % (i, f2str(stepcelldiff), f2str(max_sum_diff),
-       f2str(step_sum_improvement)))
+"""
+            print(template % (i, f2str(stepcelldiff), f2str(max_sum_diff),
+                              f2str(step_sum_improvement)))
 
         if np.all(np.array(lastdiffs) == max_sum_diff):
             if no_convergence in {'warn', 'raise'}:

From a0f9da25d6a528562f5c7bfd224660b5a8ab16c8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 29 Nov 2016 13:28:46 +0100
Subject: [PATCH 235/899] use axes display_name instead of raw name in
 Session.summary()

so that it does not crash when any array has an axis without name
---
 larray/session.py            | 8 ++++----
 larray/tests/test_session.py | 6 +++---
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 7b5c7b743..1a9392776 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -523,10 +523,10 @@ def compact(self, display=False):
     def summary(self, template=None):
         if template is None:
             template = "{name}: {axes_names}\n    {title}\n"
-        return '\n'.join(template.format(name=k,
-                                         axes_names=', '.join(v.axes.names),
-                                         title=v.title)
-                         for k, v in self.items())
+        templ_kwargs = [{'name': k,
+                         'axes_names': ', '.join(v.axes.display_names),
+                         'title': v.title} for k, v in self.items()]
+        return '\n'.join(template.format(**kwargs) for kwargs in templ_kwargs)
 
 
 def local_arrays(depth=0):
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index cde0a3b7e..4e0211a82 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -216,9 +216,9 @@ def test_div(self):
     def test_summary(self):
         sess = self.session.filter(kind=LArray)
         self.assertEqual(sess.summary(),
-                         "e: a0, a1\n    \n\n"
-                         "f: a0, a1\n    \n\n"
-                         "g: a0, a1\n    \n")
+                         "e: a0*, a1*\n    \n\n"
+                         "f: a0*, a1*\n    \n\n"
+                         "g: a0*, a1*\n    \n")
 
 
 if __name__ == "__main__":

From 82f17e0498271a0cf676326be66941df59e08275 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 29 Nov 2016 17:12:45 +0100
Subject: [PATCH 236/899] added code to check for and warn about duplicate
 labels

commented it because we would need to pass stacklevel around most
larray functions to make it actually useful for users
---
 larray/core.py | 29 +++++++++++++++++++++++++++--
 1 file changed, 27 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 630902e9b..a1250f9b7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -84,10 +84,11 @@
 #   (and potentially rename it to reflect the broader scope)
 
 import csv
-import os
 from itertools import product, chain, groupby, islice
-import sys
+import os
 import re
+import sys
+import warnings
 
 try:
     import builtins
@@ -1647,6 +1648,30 @@ def make_axis(obj):
         self._list = axes
         self._map = {axis.name: axis for axis in axes if axis.name is not None}
 
+        # # check dupes on each axis
+        # for axis in axes:
+        #     axis_dupes = list(duplicates(axis.labels))
+        #     if axis_dupes:
+        #         dupe_labels = ', '.join(str(l) for l in axis_dupes)
+        #         warnings.warn("duplicate labels found for axis %s: %s"
+        #                       % (axis.name, dupe_labels),
+        #                       category=UserWarning, stacklevel=2)
+        #
+        # # check dupes between axes. Using unique to not spot the dupes
+        # # within the same axis that we just displayed.
+        # all_labels = chain(*[np.unique(axis.labels) for axis in axes])
+        # dupe_labels = list(duplicates(all_labels))
+        # if dupe_labels:
+        #     label_axes = [(label, ', '.join(display_name
+        #                                     for axis, display_name
+        #                                     in zip(axes, self.display_names)
+        #                                     if label in axis))
+        #                   for label in dupe_labels]
+        #     dupes = '\n'.join("{} is valid in {{{}}}".format(label, axes)
+        #                       for label, axes in label_axes)
+        #     warnings.warn("ambiguous labels found:\n%s" % dupes,
+        #                   category=UserWarning, stacklevel=5)
+
     def __dir__(self):
         # called by dir() and tab-completion at the interactive prompt,
         # should return a list of all valid attributes, ie all normal

From 0499667d36dfc432e248ebd85310df1409ecafa1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 2 Dec 2016 16:21:07 +0100
Subject: [PATCH 237/899] implemented rationot0

---
 larray/core.py | 43 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index a1250f9b7..7020a62fd 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5602,6 +5602,49 @@ def ratio(self, *axes):
         #      FO | 0.6666666666 | 1.0
         return self / self.sum(*axes)
 
+    def rationot0(self, *axes):
+        """Returns a LArray with values array / array.sum(axes) where the sum
+        is not 0, 0 otherwise.
+
+        Parameters
+        ----------
+        *axes
+
+        Returns
+        -------
+        LArray
+            array / array.sum(axes)
+
+        Examples
+        --------
+        >>> a = Axis('a', 'a0,a1')
+        >>> b = Axis('b', 'b0,b1,b2')
+        >>> arr = LArray([[6, 0, 2],
+        ...               [4, 0, 8]], [a, b])
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  6 |  0 |  2
+         a1 |  4 |  0 |  8
+        >>> arr.sum()
+        20
+        >>> arr.rationot0()
+        a\\b |  b0 |  b1 |  b2
+         a0 | 0.3 | 0.0 | 0.1
+         a1 | 0.2 | 0.0 | 0.4
+        >>> arr.rationot0(x.a)
+        a\\b |  b0 |  b1 |  b2
+         a0 | 0.6 | 0.0 | 0.2
+         a1 | 0.4 | 0.0 | 0.8
+
+        for reference, the normal ratio method would return:
+
+        >>> arr.ratio(x.a)
+        a\\b |  b0 |  b1 |  b2
+         a0 | 0.6 | nan | 0.2
+         a1 | 0.4 | nan | 0.8
+        """
+        return self.divnot0(self.sum(*axes))
+
     def percent(self, *axes):
         """Returns an array with values given as
          percent of the total of all values along given axes.

From 9088684c56f36537149eaad9d9b3405f6468a65a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 15 Dec 2016 15:16:16 +0100
Subject: [PATCH 238/899] added utils.find_closing_chr

---
 larray/utils.py | 81 +++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 81 insertions(+)

diff --git a/larray/utils.py b/larray/utils.py
index d5bb69a0d..879c06fa8 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -352,3 +352,84 @@ def size2str(value):
     scale = int(math.log(value, 1024)) if value else 0
     fmt = "%.2f %s" if scale else "%d %s"
     return fmt % (value / 1024.0 ** scale, units[scale])
+
+
+def find_closing_chr(s, start=0):
+    """
+
+    Parameters
+    ----------
+    s : str
+        string to search the characters. s[start] must be in '({['
+    start : int, optional
+        position in the string from which to start searching
+
+    Returns
+    -------
+    position of matching brace
+
+    Examples
+    --------
+    >>> find_closing_chr('(a) + (b)')
+    2
+    >>> find_closing_chr('(a) + (b)', 6)
+    8
+    >>> find_closing_chr('(a{b[c(d)e]f}g)')
+    14
+    >>> find_closing_chr('(a{b[c(d)e]f}g)', 2)
+    12
+    >>> find_closing_chr('(a{b[c(d)e]f}g)', 4)
+    10
+    >>> find_closing_chr('(a{b[c(d)e]f}g)', 6)
+    8
+    >>> find_closing_chr('((a) + (b))')
+    10
+    >>> find_closing_chr('((a) + (b))')
+    10
+    >>> find_closing_chr('((a) + (b))')
+    10
+    >>> find_closing_chr('({)}')
+    Traceback (most recent call last):
+      ...
+    ValueError: malformed expression: expected '}' but found ')'
+    >>> find_closing_chr('({}})')
+    Traceback (most recent call last):
+      ...
+    ValueError: malformed expression: expected ')' but found '}'
+    >>> find_closing_chr('}()')
+    Traceback (most recent call last):
+      ...
+    ValueError: malformed expression: found '}' before '{'
+    >>> find_closing_chr('(()')
+    ... # doctest: +NORMALIZE_WHITESPACE
+    Traceback (most recent call last):
+      ...
+    ValueError: malformed expression: reached end of string without finding
+                the expected ')'
+    """
+    opening, closing = '({[', ')}]'
+    match = {o: c for o, c in zip(opening, closing)}
+    match.update({c: o for o, c in zip(opening, closing)})
+    opening_set, closing_set = set(opening), set(closing)
+
+    needle = s[start]
+    assert needle in match
+    last_open = []
+    for pos in range(start, len(s)):
+        c = s[pos]
+        if c in match:
+            if c in opening_set:
+                last_open.append(c)
+            if c in closing_set:
+                if not last_open:
+                    raise ValueError("malformed expression: found '{}' before "
+                                     "'{}'".format(c, match[c]))
+                expected = match[last_open.pop()]
+                if c != expected:
+                    raise ValueError("malformed expression: expected '{}' but "
+                                     "found '{}'".format(expected, c))
+                if not last_open:
+                    assert c == match[needle]
+                    return pos
+    raise ValueError("malformed expression: reached end of string without "
+                     "finding the expected '{}'".format(match[needle]))

From c17c89a784b4e5098e6160eed4a3d2ddb5c98a3c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 15 Dec 2016 15:20:19 +0100
Subject: [PATCH 239/899] added more thoughts/syntax experiments in design.txt

---
 design.txt | 62 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)

diff --git a/design.txt b/design.txt
index f7f46ac98..b781e90f0 100644
--- a/design.txt
+++ b/design.txt
@@ -865,3 +865,65 @@ act3 = table(['sub', '40+',   '-39',    '40+'],
 # https://docs.scipy.org/doc/numpy/reference/routines.set.html
 # https://docs.scipy.org/doc/numpy/reference/routines.logic.html#logical-operations
 # https://docs.python.org/3.7/library/stdtypes.html#set
+
+    >>> to_key('axis=a,b:d,e ! groupname')
+    >>> to_key('axis=a,b:d,e # groupname')
+    >>> to_key('axis=a,b:d,e & groupname')
+    >>> to_key('axis=a,b:d,e ~ groupname')
+    >>> to_key('axis=a,b:d,e @ groupname')
+    >>> to_key('groupname=a,b:d,e @ axis')
+    >>> to_key('groupname=#1:7a,b:d,e @ axis')
+    >>> to_key('teens=#1:7,b:d,e @ age')
+    >>> ext = la({'M': 55, 'F': 56})
+    # cannot use f-string (or string formatting) because that would be too
+    # limiting, ie. ext above wouldn't work
+    >>> a.sum('10_19=10:19 ; 20_29=20:29; #-1@year ; services=a,c:e,o@c_from ; {ext}@c_to')
+    >>> a.sum('age=10:19 > 10_19 ; 20:29 > 20_29 ; year=#-1 ; services=a,c:e ; c_from=o ; c_to={ext}')
+    # names only make sense when doing group aggregates, ie within parentheses
+    >>> a.sum('age=(10:19 > 10_19 ; 20:29 > 20_29); year=#-1 ; services=a, c:e ; c_from=o ; c_to={ext}')
+    # the parentheses are potentially superfluous since we separated groups
+    # using ; => means different LGroup
+    # several groups on same axis => multi group aggregate
+    >>> a['age=20:29|5 & year=#-1 & c_from=o & c_to={ext}']
+    >>> a['age=(10:19 >> 10_19 ; 20:29 >> 20_29) & c_from=o & c_to={ext}']
+    >>> a['age=10:19->10_19 ; age=20:29->20_29 & c_from=o & c_length={ext}']
+    >>> a['age=(10:19->10_19 ; #10:20) & c_from=o & c_length={ext}']
+
+
+    >>> a['age[20:29].by(5) & year.i[-1] & c_from[o] & c_to[{ext}]']
+
+    >>> a['age=(10:19 >> 10_19 ; 20:29 >> 20_29) & c_from=o & c_to={ext}']
+    >>> a['(age[10:19] >> 10_19, age[20:29] >> 20_29) & c_from[o] & c_to[{ext}]']
+    >>> a['age=(10:19 >> 10_19 ; 20:29 >> 20_29) & c_from=o & c_to={ext}']
+    >>> a['age=10:19->10_19 ; age=20:29->20_29 & c_from=o & c_length={ext}']
+    >>> a['age=(10:19->10_19 ; #10:20) & c_from=o & c_length={ext}']
+
+    is it:
+    * filter = expr | expr
+             = expr & expr
+             = expr ^ expr
+             = expr
+    * expr =
+    >>> a['10:60 by 5 & c_from=o & c_to={ext}']
+    >>> a.sum('10:19 > 10_19 ; 20:29 > 20_29 ; year=#-1')
+    >>> a.sum('(10:19 > 10_19 ; 20:29 > 20_29) & year=#-1')
+    >>> teens = G['age=10:19 >> teens']
+    >>> teens = x.age[10:19].named('teens')
+    >>> twenties = G['age=20:29']
+    >>> a.sum('({teens}, {twenties})')
+    >>> a.sum((teens, twenties))
+    # will we ever want to support this?
+    >>> a.sum('age > clength')
+    >>> a.sum('age > {ext}')
+    >>> a.sum(x.age > ext)
+    >>> a.sum('age > 10')
+    LGroup(['a', 'b', 'c'], name='abc')
+
+
+expend_flow[x.cat_from['married_women'], x.cat_to['retirement_survival_women'], y] = \
+        flow[x.cat_from['married_women'], x.cat_to['retirement_survival_women'], y] * \
+        pension_age_diff_lag['married_men', y] * 1.1 * (45 / average_clength_survival['married_men', y])
+
+expend_flow['cat_from[married_women], cat_to[retirement_survival_women]', y] = \
+        flow['cat_from[married_women], cat_to[retirement_survival_women]', y] * \
+        pension_age_diff_lag['married_men', y] * 1.1 * (45 / average_clength_survival['married_men', y])

From e3a34c41ae8079bb0dcd522e292d02d4ea2ecffc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 15 Dec 2016 15:33:32 +0100
Subject: [PATCH 240/899] changed int slices given as strings to create int
 instead of strings

---
 larray/core.py          | 28 ++++++++++++----------------
 larray/tests/test_la.py | 20 ++++++++------------
 2 files changed, 20 insertions(+), 28 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 7020a62fd..f52fef3b1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -241,27 +241,27 @@ def _slice_to_str(key, use_repr=False):
 
 def _slice_str_to_range(s):
     """
-    Converts a slice string to a list of (string) values.
+    Converts a slice string to a range (of values).
     The end point is included.
 
     Parameters:
     -----------
     s : str
-        Sting representing a slice
+        String representing a slice
 
     Returns
     -------
-    list of str
+    range
         Array of evenly spaced values.
 
     Examples:
     ---------
-    >>> _slice_str_to_range(':3')
-    ['0', '1', '2', '3']
-    >>> _slice_str_to_range('2:5')
-    ['2', '3', '4', '5']
-    >>> _slice_str_to_range('2:6:2')
-    ['2', '4', '6']
+    >>> list(_slice_str_to_range(':3'))
+    [0, 1, 2, 3]
+    >>> list(_slice_str_to_range('2:5'))
+    [2, 3, 4, 5]
+    >>> list(_slice_str_to_range('2:6:2'))
+    [2, 4, 6]
     """
     numcolons = s.count(':')
     assert 1 <= numcolons <= 2
@@ -272,7 +272,7 @@ def _slice_str_to_range(s):
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
     stop += 1
-    return _srange(start, stop, step)
+    return range(start, stop, step)
 
 
 def _to_string(v):
@@ -346,12 +346,8 @@ def _to_ticks(s):
     >>> _to_ticks('H , F')
     ['H', 'F']
 
-    # XXX: we might want to return real int instead, because if we ever
-    # want to have more complex queries, such as:
-    # arr.filter(age > 10 and age < 20)
-    # this would break for string values (because '10' < '2')
     >>> _to_ticks(':3')
-    ['0', '1', '2', '3']
+    range(0, 4)
     """
     if isinstance(s, Group):
         # a single LGroup used for all ticks of an Axis
@@ -511,7 +507,7 @@ def union(*args):
     Examples
     --------
     >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
-    ['a', 'b', 'c', 'd', 'e', 'f', '0', '1', '2']
+    ['a', 'b', 'c', 'd', 'e', 'f', 0, 1, 2]
     """
     if args:
         return list(unique(chain(*(_to_ticks(arg) for arg in args))))
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index e15ad8c42..de274b65a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -77,12 +77,8 @@ def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
 
     def test_range(self):
-        # XXX: we might want to return real int instead, because if we ever
-        # want to have more complex queries, such as:
-        # arr.filter(age > 10 and age < 20)
-        # this would break for string values (because '10' < '2')
-        self.assertEqual(_to_ticks('0:115'), _srange(116))
-        self.assertEqual(_to_ticks(':115'), _srange(116))
+        self.assertEqual(_to_ticks('0:115'), range(116))
+        self.assertEqual(_to_ticks(':115'), range(116))
         with self.assertRaises(ValueError):
             _to_ticks('10:')
         with self.assertRaises(ValueError):
@@ -133,9 +129,9 @@ def test_init(self):
         # single string
         assert_array_equal(Axis('sex', 'H,F').labels, sex_array)
         # list of ints
-        assert_array_equal((Axis('age', range(116))).labels, np.arange(116))
+        assert_array_equal(Axis('age', range(116)).labels, np.arange(116))
         # range-string
-        assert_array_equal((Axis('age', ':115')).labels, np.array(_srange(116)))
+        assert_array_equal(Axis('age', ':115').labels, np.arange(116))
 
     def test_equals(self):
         self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', 'H,F')))
@@ -250,10 +246,10 @@ def test_contains(self):
         age359 = age.group(['3', '5', '9'])
         age468 = age.group('4,6,8', name='even')
 
-        self.assertFalse(5 in age)
-        self.assertTrue('5' in age)
+        self.assertTrue(5 in age)
+        self.assertFalse('5' in age)
 
-        self.assertTrue(age2 in age)
+        self.assertFalse(age2 in age)
         # only single ticks are "contained" in the axis, not "collections"
         self.assertFalse(age2bis in age)
         self.assertFalse(age2ter in age)
@@ -711,7 +707,7 @@ def test_repr(self):
         self.assertEqual(repr(self.collection), """AxisCollection([
     Axis('lipro', ['P01', 'P02', 'P03', 'P04']),
     Axis('sex', ['H', 'F']),
-    Axis('age', ['0', '1', '2', '3', '4', '5', '6', '7'])
+    Axis('age', [0, 1, 2, 3, 4, 5, 6, 7])
 ])""")
 
 

From c700d73ee42acd505a336798e9a5ce02fa6c0eba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 16 Dec 2016 10:57:18 +0100
Subject: [PATCH 241/899] dump more thoughts

---
 design.txt | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/design.txt b/design.txt
index b781e90f0..6ed6d9c4b 100644
--- a/design.txt
+++ b/design.txt
@@ -927,3 +927,28 @@ expend_flow[x.cat_from['married_women'], x.cat_to['retirement_survival_women'],
 expend_flow['cat_from[married_women], cat_to[retirement_survival_women]', y] = \
         flow['cat_from[married_women], cat_to[retirement_survival_women]', y] * \
         pension_age_diff_lag['married_men', y] * 1.1 * (45 / average_clength_survival['married_men', y])
+
+# ===================================================
+# ================ Multi Index/Sparse ===============
+# ===================================================
+
+* for each label in an axis part of a CombinedAxis I need a list/array of
+  positions => the total size of those position arrays will be equal to N * L
+     where L is the length of the combined axis
+           N is the number of axes in the combined axis
+
+* the questions is whether:
+
+  arr['M', 10]
+  lines1 = sex.lines('M')
+  lines2 = age.lines(10)
+  total_lines = intersect(lines1, lines2)
+
+  is faster than pandas:
+
+  arr['M', 10]
+  filter1 = sex.filter('M')
+  filter2 = age.filter(10)
+  total_lines = (filter1 & filter2).nonzero()
+
+* does something like categorical (transforms label -> index) help?

From 3c9e277847cff81eb2c61b914e91d08dc0d5ac72 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 16 Dec 2016 10:58:38 +0100
Subject: [PATCH 242/899] added sep argument to _seq_summary

---
 larray/core.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f52fef3b1..50d328bb5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -557,7 +557,8 @@ def _isnoneslice(v):
     """
     return isinstance(v, slice) and v == slice(None)
 
-def _seq_summary(seq, num=3, func=repr):
+
+def _seq_summary(seq, num=3, func=repr, sep=' '):
     """
     Returns a string representing a sequence by showing only the n first and last elements.
 
@@ -569,7 +570,7 @@ def _seq_summary(seq, num=3, func=repr):
     def shorten(l):
         return l if len(l) <= 2 * num else l[:num] + ['...'] + list(l[-num:])
 
-    return ' '.join(shorten([func(l) for l in seq]))
+    return sep.join(shorten([func(l) for l in seq]))
 
 
 class PGroupMaker(object):

From 7fb12beacaa5a8c017dcfce7dab626c6574a69e8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 15:40:01 +0100
Subject: [PATCH 243/899] added PGroup to __all__

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 50d328bb5..8dcde5dd4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4,7 +4,7 @@
 __version__ = "0.17"
 
 __all__ = [
-    'LArray', 'Axis', 'AxisCollection', 'LGroup',
+    'LArray', 'Axis', 'AxisCollection', 'LGroup', 'PGroup',
     'union', 'stack',
     'read_csv', 'read_eurostat', 'read_excel', 'read_hdf', 'read_tsv',
     'read_sas',

From e2226bd56bc3c64663b87afed4363cd01a0a8958 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 15:59:55 +0100
Subject: [PATCH 244/899] rename argument for more clarity & concision

---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8dcde5dd4..c6c4c1108 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -558,7 +558,7 @@ def _isnoneslice(v):
     return isinstance(v, slice) and v == slice(None)
 
 
-def _seq_summary(seq, num=3, func=repr, sep=' '):
+def _seq_summary(seq, n=3, func=repr, sep=' '):
     """
     Returns a string representing a sequence by showing only the n first and last elements.
 
@@ -568,7 +568,7 @@ def _seq_summary(seq, num=3, func=repr, sep=' '):
     '0 1 ... 8 9'
     """
     def shorten(l):
-        return l if len(l) <= 2 * num else l[:num] + ['...'] + list(l[-num:])
+        return l if len(l) <= 2 * n else l[:n] + ['...'] + list(l[-n:])
 
     return sep.join(shorten([func(l) for l in seq]))
 

From 11ed9633fd5600956bdc85d59197c3b2e62b2814 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:04:30 +0100
Subject: [PATCH 245/899] * fixed Axis.startswith, endswith, matches to include
 the axis * simplified & optimized Axis.startswith & endswith by not using
 regular expressions for that

---
 larray/core.py | 42 ++++++++++++++++++++++--------------------
 1 file changed, 22 insertions(+), 20 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index c6c4c1108..eed008142 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -948,7 +948,8 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        Returns a group with all the labels matching (regex) the specified pattern.
+        Returns a group with all the labels matching the specified pattern
+        (regular expression).
 
         Parameters
         ----------
@@ -971,17 +972,20 @@ def matches(self, pattern):
 
         All labels starting with "W" and ending with "o" are given by
 
-        >>> people.matches('W.*o')
-        LGroup(['Waldo'])
+        >>> people.matches('W.*o')  # doctest: +NORMALIZE_WHITESPACE
+        LGroup(['Waldo'],
+               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
 
         All labels not containing character "a"
 
-        >>> people.matches('[^a]*$')
-        LGroup(['Bruce Willis', 'Arthur Dent'])
+        >>> people.matches('[^a]*$')  # doctest: +NORMALIZE_WHITESPACE
+        LGroup(['Bruce Willis', 'Arthur Dent'],
+               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
-        return LGroup(self._axisregex(pattern))
+        rx = re.compile(pattern)
+        return LGroup([v for v in self.labels if rx.match(v)], axis=self)
 
-    def startswith(self, pattern):
+    def startswith(self, prefix):
         """
         Returns a group with the labels starting with the specified string
 
@@ -998,13 +1002,14 @@ def startswith(self, pattern):
         Examples
         --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('[^B]')
-        LGroup(['Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.startswith('Bru')  # doctest: +NORMALIZE_WHITESPACE
+        LGroup(['Bruce Wayne', 'Bruce Willis'],
+               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
-        res = self._axisregex('^%s.*' % pattern)
-        return LGroup(res)
+        return LGroup([v for v in self.labels if v.startswith(prefix)],
+                      axis=self)
 
-    def endswith(self, pattern):
+    def endswith(self, suffix):
         """
         Returns a LGroup with the labels ending with the specified string
 
@@ -1021,15 +1026,12 @@ def endswith(self, pattern):
         Examples
         --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.endswith('[o-z]')
-        LGroup(['Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people.endswith('Dent')  # doctest: +NORMALIZE_WHITESPACE
+        LGroup(['Arthur Dent', 'Harvey Dent'],
+               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
-        res = self._axisregex('.*%s$' % pattern)
-        return LGroup(res)
-
-    def _axisregex(self, pattern):
-        rx = re.compile(pattern)
-        return [v for v in self if rx.match(v)]
+        return LGroup([v for v in self.labels if v.endswith(suffix)],
+                      axis=self)
 
     def __len__(self):
         return self._length

From d73e6a7752d15d632c73ebd18dd30871724cd61d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 246/899] * implemented .. to define axes instead of : it is
 much more powerful... * implemented new syntax for string groups (axis[key]
 >> name and axis.i[pos_key] >> name)   - strings representing integers are
 evaluated as integers.   - experimental support for evaluating {expr} inside
 string groups, but this is fragile and makes the code ugly     (and does not
 work on Python2) * implemented .by() method on Group which splits a group
 into subgroups of specified length * implemented [] on groups so that you can
 further subset a group * changed how named groups are displayed (only the
 name is displayed) * positional groups gained a few features and are almost
 on par with label groups now * groups can be renamed using >> (in addition to
 "named") * when iterating over an axis it returns groups (instead of raw
 labels)   so that it works even in the presence of ambiguous labels

---
 larray/core.py          | 729 ++++++++++++++++++++++++++++++----------
 larray/tests/test_la.py | 135 ++++----
 2 files changed, 628 insertions(+), 236 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index eed008142..8be06557f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -112,41 +112,7 @@
 from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
                           decode, basestring, bytes, izip, rproduct, ReprString,
                           duplicates, array_lookup2, skip_comment_cells,
-                          strip_rows, PY3)
-
-# TODO: return a generator, not a list
-def _srange(*args):
-    """
-    Returns evenly spaced values within a given interval as list of strings
-
-    Parameters
-    ----------
-    start :  number, optional
-        Start of interval. The interval includes this value. The default start value is 0.
-    stop : number
-        End of interval. The interval does not include this value
-    step : number, optional
-        Spacing between values. For any output out, this is the distance between two adjacent values.
-        The default step size is 1. If step is specified, start must also be given.
-
-    Returns
-    -------
-    list of str
-        Array of evenly spaced values.
-
-    Examples
-    --------
-    >>> _srange(8)
-    ['0', '1', '2', '3', '4', '5', '6', '7']
-    >>> _srange(5, 8)
-    ['5', '6', '7']
-    >>> _srange(1, 8, 2)
-    ['1', '3', '5', '7']
-    """
-    return list(map(str, range(*args)))
-    # AD -- return (str(e) for e in range(*args))
-
-
+                          strip_rows, find_closing_chr, PY3)
 
 
 def _range_to_slice(seq, length=None):
@@ -239,40 +205,162 @@ def _slice_to_str(key, use_repr=False):
     return '%s:%s%s' % (start, stop, step)
 
 
-def _slice_str_to_range(s):
+def irange(start, stop, step=None):
+    """Create a range, with inclusive stop bound and automatic sign for step.
+
+    Parameters
+    ----------
+    start : int
+        Start bound
+    stop : int
+        Inclusive stop bound
+    step : int, optional
+        Distance between two generated numbers. If provided this *must* be a positive integer.
+
+    Returns
+    -------
+    range
+
+    Examples
+    --------
+    >>> list(irange(1, 3))
+    [1, 2, 3]
+    >>> list(irange(2, 0))
+    [2, 1, 0]
+    >>> list(irange(1, 6, 2))
+    [1, 3, 5]
+    >>> list(irange(6, 1, 2))
+    [6, 4, 2]
+    """
+    if step is None:
+        step = 1
+    else:
+        assert step > 0
+    step = step if start <= stop else -step
+    stop = stop + 1 if start <= stop else stop - 1
+    return range(start, stop, step)
+
+
+_range_bound_pattern = re.compile('([0-9]+|[a-zA-Z]+)')
+
+def generalized_range(start, stop, step=1):
+    """Create a range, with inclusive stop bound and automatic sign for step. Bounds can be strings.
+
+    Parameters
+    ----------
+    start : int or str
+        Start bound
+    stop : int or str
+        Inclusive stop bound
+    step : int, optional
+        Distance between two generated numbers. If provided this *must* be a positive integer.
+
+    Returns
+    -------
+    range
+
+    Examples
+    --------
+    works with both number and letter bounds
+
+    >>> list(generalized_range(0, 3))
+    [0, 1, 2, 3]
+    >>> generalized_range('a', 'c')
+    ['a', 'b', 'c']
+
+    can generate in reverse
+
+    >>> list(generalized_range(2, 0))
+    [2, 1, 0]
+    >>> generalized_range('c', 'a')
+    ['c', 'b', 'a']
+
+    can combine letters and numbers
+
+    >>> generalized_range('a0', 'c1')
+    ['a0', 'a1', 'b0', 'b1', 'c0', 'c1']
+
+    any special character is left intact
+
+    >>> generalized_range('a_0', 'c_1')
+    ['a_0', 'a_1', 'b_0', 'b_1', 'c_0', 'c_1']
+
+    consecutive digits are treated like numbers
+
+    >>> generalized_range('P01', 'P12')
+    ['P01', 'P02', 'P03', 'P04', 'P05', 'P06', 'P07', 'P08', 'P09', 'P10', 'P11', 'P12']
+
+    consecutive letters create all combinations
+
+    >>> generalized_range('AA', 'CC')
+    ['AA', 'AB', 'AC', 'BA', 'BB', 'BC', 'CA', 'CB', 'CC']
+    """
+    if isinstance(start, str):
+        assert isinstance(stop, str)
+        start_parts = _range_bound_pattern.split(start)
+        stop_parts = _range_bound_pattern.split(stop)
+        assert len(start_parts) == len(stop_parts)
+        ranges = []
+        for start_part, stop_part in zip(start_parts, stop_parts):
+            if start_part.isdigit():
+                assert stop_part.isdigit()
+                numchr = max(len(start_part), len(stop_part))
+                r = ['%0*d' % (numchr, num) for num in irange(int(start_part), int(stop_part))]
+            elif start_part.isalpha():
+                assert stop_part.isalpha()
+                int_start = [ord(c) for c in start_part]
+                int_stop = [ord(c) for c in stop_part]
+                sranges = [[chr(c) for c in irange(r_start, r_stop) if chr(c).isalnum()]
+                           for r_start, r_stop in zip(int_start, int_stop)]
+                r = [''.join(p) for p in product(*sranges)]
+            else:
+                # special characters
+                assert start_part == stop_part
+                r = [start_part]
+            ranges.append(r)
+        res = [''.join(p) for p in product(*ranges)]
+        return res if step == 1 else res[::step]
+    else:
+        return irange(start, stop, step)
+
+
+_range_str_pattern = re.compile('(?P<start>\w+)?\s*\.\.\s*(?P<stop>\w+)?(\s+step\s+(?P<step>\d+))?')
+
+
+def _range_str_to_range(s):
     """
     Converts a slice string to a range (of values).
     The end point is included.
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     s : str
-        String representing a slice
+        String representing a range of values
 
     Returns
     -------
     range
-        Array of evenly spaced values.
+        range of int or list of str.
 
-    Examples:
-    ---------
-    >>> list(_slice_str_to_range(':3'))
+    Examples
+    --------
+    >>> list(_range_str_to_range('..3'))
     [0, 1, 2, 3]
-    >>> list(_slice_str_to_range('2:5'))
-    [2, 3, 4, 5]
-    >>> list(_slice_str_to_range('2:6:2'))
+    >>> _range_str_to_range('a..c')
+    ['a', 'b', 'c']
+    >>> list(_range_str_to_range('2..6 step 2'))
     [2, 4, 6]
     """
-    numcolons = s.count(':')
-    assert 1 <= numcolons <= 2
-    fullstr = s + ':1' if numcolons == 1 else s
-    start, stop, step = [int(a) if a else None for a in fullstr.split(':')]
-    if start is None:
-        start = 0
+    m = _range_str_pattern.match(s)
+
+    groups = m.groupdict()
+    start, stop, step = groups['start'], groups['stop'], groups['step']
+    start = _parse_bound(start) if start is not None else 0
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
-    stop += 1
-    return range(start, stop, step)
+    stop = _parse_bound(stop)
+    step = int(step) if step is not None else 1
+    return generalized_range(start, stop, step)
 
 
 def _to_string(v):
@@ -346,8 +434,8 @@ def _to_ticks(s):
     >>> _to_ticks('H , F')
     ['H', 'F']
 
-    >>> _to_ticks(':3')
-    range(0, 4)
+    >>> list(_to_ticks('..3'))
+    [0, 1, 2, 3]
     """
     if isinstance(s, Group):
         # a single LGroup used for all ticks of an Axis
@@ -364,7 +452,9 @@ def _to_ticks(s):
         return list(s)
     elif isinstance(s, basestring):
         if ':' in s:
-            return _slice_str_to_range(s)
+            raise ValueError("using : to define axes is deprecated, please use .. instead")
+        elif '..' in s:
+            return _range_str_to_range(s)
         else:
             return [v.strip() for v in s.split(',')]
     elif hasattr(s, '__array__'):
@@ -376,7 +466,51 @@ def _to_ticks(s):
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
-def _to_key(v):
+def _parse_bound(s, stack_depth=1):
+    """Parse a string representing a single value, converting int-like
+    strings to integers and evaluating expressions within {}.
+
+    Parameters
+    ----------
+    s : str
+        string to evaluate
+    stack_depth : int
+        how deep to go in the stack to get local variables for evaluating
+        {expressions}.
+
+    Returns
+    -------
+    any
+
+    Examples
+    --------
+
+    >>> _parse_bound(' a ')
+    'a'
+    >>> # returns None
+    >>> _parse_bound(' ')
+    >>> ext = 1
+    >>> _parse_bound(' {ext + 1} ')
+    2
+    >>> _parse_bound('42')
+    42
+    """
+    s = s.strip()
+    if s == '':
+        return None
+    elif s[0] == '{':
+        expr = s[1:find_closing_chr(s)]
+        return eval(expr, sys._getframe(stack_depth).f_locals)
+    elif s.isdigit() or (s[0] == '-' and s[1:].isdigit()):
+        return int(s)
+    else:
+        return s
+
+
+_axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
+
+
+def _to_key(v, stack_depth=1):
     """
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
@@ -391,10 +525,6 @@ def _to_key(v):
     key
         a key represents any object that can be used for indexing
 
-    Notes
-    -----
-    "int strings" are not converted to int.
-
     Examples
     --------
     >>> _to_key('a:c')
@@ -407,39 +537,78 @@ def _to_key(v):
     'a'
     >>> _to_key(10)
     10
-    >>> _to_key('abc=a,b,c')
+    >>> _to_key('year.i[-1]')
+    PGroup(-1, axis='year')
+    >>> _to_key('age[10:19]>>teens')
+    LGroup(slice(10, 19, None), name='teens', axis='age')
+    >>> _to_key('a,b,c >> abc')
     LGroup(['a', 'b', 'c'], name='abc')
+
+    # evaluated variables do not work on Python 2, probably because the stackdepth is different
+    # >>> ext = [1, 2, 3]
+    # >>> _to_key('{ext} >> ext')
+    # LGroup([1, 2, 3], name='ext')
+    # >>> answer = 42
+    # >>> _to_key('{answer}')
+    # 42
+    # >>> _to_key('{answer} >> answer')
+    # LGroup(42, name='answer')
+    # >>> _to_key('10:{answer} >> answer')
+    # LGroup(slice(10, 42, None), name='answer')
+    # >>> _to_key('4,{answer},2 >> answer')
+    # LGroup([4, 42, 2], name='answer')
     """
     if isinstance(v, tuple):
         return list(v)
     elif isinstance(v, Group):
-        return v.__class__(_to_key(v.key), v.name, v.axis)
-    elif v is Ellipsis or isinstance(v, (int, list, slice, LArray)):
+        return v.__class__(_to_key(v.key, stack_depth + 1), v.name, v.axis)
+    elif v is Ellipsis or isinstance(v, (int, list, slice, np.ndarray, LArray)):
         return v
     elif isinstance(v, basestring):
-        if '=' in v:
-            name, key = v.split('=')
-            return LGroup(_to_key(key.strip()), name.strip())
+        # axis name
+        m = _axis_name_pattern.match(v)
+        _, axis, positional, key = m.groups()
+        # group name. using rfind in the unlikely case there is another >>
+        name_pos = key.rfind('>>')
+        name = None
+        if name_pos != -1:
+            key, name = key[:name_pos].strip(), key[name_pos + 2:].strip()
+        if axis is not None:
+            axis = axis.strip()
+            axis_bracket_open = m.end(1) - 1
+            # check that the string parentheses are correctly balanced
+            _ = find_closing_chr(v, axis_bracket_open)
+            # strip closing bracket (it should be at the end because we took
+            # care of the name earlier)
+            assert key[-1] == ']'
+            key = key[:-1]
+        cls = PGroup if positional else LGroup
+        if name is not None or axis is not None:
+            return cls(_to_key(key, stack_depth + 1), name=name, axis=axis)
         else:
             numcolons = v.count(':')
             if numcolons:
                 assert numcolons <= 2
-                # can be of len 2 or 3 (if step is provided)
-                bounds = [a if a else None for a in v.split(':')]
+                # bounds can be of len 2 or 3 (if step is provided)
+                # stack_depth + 2 because the list comp has its own stack
+                bounds = [_parse_bound(b, stack_depth + 2)
+                          for b in v.split(':')]
                 return slice(*bounds)
             else:
                 if ',' in v:
                     # strip extremity commas to avoid empty string keys
                     v = v.strip(',')
-                    return [v.strip() for v in v.split(',')]
+                    # stack_depth + 2 because the list comp has its own stack
+                    return [_parse_bound(b, stack_depth + 2)
+                            for b in v.split(',')]
                 else:
-                    return v.strip()
+                    return _parse_bound(v, stack_depth + 1)
     else:
         raise TypeError("%s has an invalid type (%s) for a key"
                         % (v, type(v).__name__))
 
 
-def to_keys(value):
+def to_keys(value, stack_depth=1):
     """
     Converts a (collection of) group(s) to a structure usable for indexing.
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
@@ -460,8 +629,20 @@ def to_keys(value):
     ['P01', 'P02']
     >>> to_keys(('P01,P02',))  # <-- do not collapse dimension
     (['P01', 'P02'],)
-    >>> to_keys('P01;P02;:')
-    ('P01', 'P02', slice(None, None, None))
+    >>> to_keys('P01;P02,P03;:')
+    ('P01', ['P02', 'P03'], slice(None, None, None))
+
+    # evaluated variables do not work on Python 2, probably because the stackdepth is different
+    # >>> ext = 'P03'
+    # >>> to_keys('P01,P02,{ext}')
+    # ['P01', 'P02', 'P03']
+    # >>> to_keys('P01;P02;{ext}')
+    # ('P01', 'P02', 'P03')
+
+    >>> to_keys('age[10:19] >> teens ; year.i[-1]')
+    ... # doctest: +NORMALIZE_WHITESPACE
+    (LGroup(slice(10, 19, None), name='teens', axis='age'),
+     PGroup(-1, axis='year'))
 
     # >>> to_keys('P01,P02,:') # <-- INVALID !
     # it should have an explicit failure
@@ -478,15 +659,14 @@ def to_keys(value):
     >>> to_keys((('P01',), ('P02',), ':'))
     (['P01'], ['P02'], slice(None, None, None))
     """
-    if isinstance(value, basestring):
-        if ';' in value:
-            return tuple([_to_key(group) for group in value.split(';')])
-        else:
-            return _to_key(value)
-    elif isinstance(value, tuple):
-        return tuple([_to_key(group) for group in value])
+    if isinstance(value, basestring) and ';' in value:
+        value = tuple(value.split(';'))
+
+    if isinstance(value, tuple):
+        # stack_depth + 2 because the list comp has its own stack
+        return tuple([_to_key(group, stack_depth + 2) for group in value])
     else:
-        return _to_key(value)
+        return _to_key(value, stack_depth + 1)
 
 
 def union(*args):
@@ -506,7 +686,7 @@ def union(*args):
 
     Examples
     --------
-    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], ':2')
+    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], '..2')
     ['a', 'b', 'c', 'd', 'e', 'f', 0, 1, 2]
     """
     if args:
@@ -743,7 +923,10 @@ def labels(self, labels):
                     isinstance(tick, LGroup) for tick in ticks):
                 # avoid getting a 2d array if all LGroup have the same length
                 labels = np.empty(len(ticks), dtype=object)
-                labels[:] = ticks
+                # this does not work if some values have a length (with a valid __len__) and others not
+                # labels[:] = ticks
+                for i, tick in enumerate(ticks):
+                    labels[i] = tick
             else:
                 labels = np.asarray(ticks)
             length = len(labels)
@@ -794,9 +977,17 @@ def group(self, *args, **kwargs):
             raise ValueError("invalid keyword argument(s): %s"
                              % list(kwargs.keys()))
         key = args[0] if len(args) == 1 else args
-        if isinstance(key, LGroup):
+        if isinstance(key, list):
+            if any(isinstance(k, Group) for k in key):
+                assert all(isinstance(k, Group) for k in key)
+                k0 = key[0]
+                assert all(isinstance(k, k0.__class__) for k in key)
+                assert all(np.isscalar(k.key) for k in key)
+                return k0.__class__([k.key for k in key], axis=self)
+
+        if isinstance(key, Group):
             name = name if name is not None else key.name
-            key = key.key
+            return key.__class__(key.key, name, self)
         return LGroup(key, name, self)
 
     def all(self, name=None):
@@ -1037,7 +1228,7 @@ def __len__(self):
         return self._length
 
     def __iter__(self):
-        return iter(self.labels)
+        return iter([self.i[i] for i in range(self._length)])
 
     def __getitem__(self, key):
         """
@@ -1348,28 +1539,63 @@ def __init__(self, key, name=None, axis=None):
         # name. See test_la.py:test_...
         self.axis = axis
 
+    def __str__(self):
+        if self.name is not None:
+            return self.name
+        else:
+            key = self.eval()
+            if isinstance(key, slice):
+                str_key = _slice_to_str(key, use_repr=True)
+            elif isinstance(key, (tuple, list, np.ndarray)):
+                str_key = _seq_summary(key, 1)
+            else:
+                str_key = repr(key)
+            if self.axis is None:
+                if isinstance(key, (tuple, list, np.ndarray)):
+                    return '[{}]'.format(str_key)
+                else:
+                    return str_key
+            else:
+                return '{}[{}]'.format(str(self.axis), str_key)
+
     def __repr__(self):
         name = ", name=%r" % self.name if self.name is not None else ''
         axis = ", axis=%r" % self.axis if self.axis is not None else ''
         return "%s(%r%s%s)" % (self.__class__.__name__, self.key, name, axis)
 
-    def __len__(self):
-        return len(self.key)
+    def translate(self, bound=None, stop=False):
+        """
 
-    def eval(self):
-        if isinstance(self.key, slice):
-            if isinstance(self.axis, Axis):
-                # expand slices
-                pos = self.axis.translate(self)
-                return self.axis.labels[pos]
-            else:
-                raise ValueError("Cannot evaluate a slice group without axis")
+        Parameters
+        ----------
+        bound : any
+
+        Returns
+        -------
+        int
+        """
+        raise NotImplementedError()
+
+    def __len__(self):
+        value = self.eval()
+        # for some reason this breaks having LGroup ticks/labels on an axis
+        if hasattr(value, '__len__'):
+        # if isinstance(value, (tuple, list, LArray, np.ndarray, str)):
+            return len(value)
+        elif isinstance(value, slice):
+            start, stop, key_step = value.start, value.stop, value.step
+            # not using stop - start because that does not work for string
+            # bounds (and it is different for LGroup & PGroup)
+            start_pos = self.translate(start)
+            stop_pos = self.translate(stop)
+            return stop_pos - start_pos
         else:
-            # we do not check the group labels are actually valid on Axis
-            return self.key
+            raise TypeError('len() of unsized object ({})'.format(value))
 
     def __iter__(self):
-        return iter(self.eval())
+        # XXX: use translate/PGroup instead, so that it works even in the presence of duplicate labels
+        #      possibly, only if axis is set?
+        return iter([LGroup(v, axis=self.axis) for v in self.eval()])
 
     def named(self, name):
         """Returns group with a different name.
@@ -1384,6 +1610,7 @@ def named(self, name):
         Group
         """
         return self.__class__(self.key, name, self.axis)
+    __rshift__ = named
 
     def with_axis(self, axis):
         """Returns group with a different axis.
@@ -1399,6 +1626,173 @@ def with_axis(self, axis):
         """
         return self.__class__(self.key, self.name, axis)
 
+    def by(self, length, step=None):
+        """Split group into several groups of specified length.
+
+        Parameters
+        ----------
+        length : int
+            length of new groups
+        step : int, optional
+            step between groups. Defaults to length.
+
+        Note
+        ----
+        step can be smaller than length, in which case, this will produce
+        overlapping groups.
+
+        Returns
+        -------
+        list of Group
+
+        Examples
+        --------
+        >>> age = Axis('age', range(10))
+        >>> age[[1, 2, 3, 4, 5]].by(2)  # doctest: +NORMALIZE_WHITESPACE
+        (LGroup([1, 2], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         LGroup([3, 4], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         LGroup([5], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+        >>> age[1:5].by(2)  # doctest: +NORMALIZE_WHITESPACE
+        (PGroup(slice(1, 3, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         PGroup(slice(3, 5, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+        >>> age[1:5].by(2, 4)  # doctest: +NORMALIZE_WHITESPACE
+        (PGroup(slice(1, 3, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+        >>> age[1:5].by(3, 2)  # doctest: +NORMALIZE_WHITESPACE
+        (PGroup(slice(1, 4, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         PGroup(slice(3, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
+         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
+        >>> x.age[[0, 1, 2, 3, 4]].by(2)  # doctest: +NORMALIZE_WHITESPACE
+        (LGroup([0, 1], axis=AxisReference('age')),
+         LGroup([2, 3], axis=AxisReference('age')),
+         LGroup([4], axis=AxisReference('age')))
+        """
+        if step is None:
+            step = length
+        return tuple(self[start:start + length]
+                     for start in range(0, len(self), step))
+
+    # TODO: __getitem__ should work by label and .i[] should work by
+    # position. I guess it would be more consistent this way even if the
+    # usefulness of subsetting a group with labels is dubious (but
+    # it is sometimes practical to treat the group as if it was an axis).
+    # >>> vla = geo['...']
+    # >>> # first 10 regions of flanders (this could have some use)
+    # >>> vla.i[:10]  # => PGroup on geo
+    # >>> vla["antwerp", "gent"]  # => LGroup on geo
+
+    # LGroup[] => LGroup
+    # PGroup[] => LGroup
+    # PGroup.i[] => PGroup
+    # LGroup.i[] => PGroup
+    def __getitem__(self, key):
+        """
+
+        Parameters
+        ----------
+        key : int, slice of int or list of int
+            position-based key (even for LGroup)
+
+        Returns
+        -------
+        Group
+        """
+        cls = self.__class__
+        orig_key = self.key
+        # XXX: unsure we should support tuple
+        if isinstance(orig_key, (tuple, list)):
+            return cls(orig_key[key], None, self.axis)
+        elif isinstance(orig_key, slice):
+            orig_start, orig_stop, orig_step = \
+                orig_key.start, orig_key.stop, orig_key.step
+            if orig_step is None:
+                orig_step = 1
+            orig_start_pos = self.translate(orig_start)
+            if isinstance(key, slice):
+                key_start, key_stop, key_step = key.start, key.stop, key.step
+                if key_step is None:
+                    key_step = 1
+
+                orig_stop_pos = self.translate(orig_stop, stop=True)
+                new_start = orig_start_pos + key_start * orig_step
+                new_stop = min(orig_start_pos + key_stop * orig_step,
+                               orig_stop_pos)
+                new_step = orig_step * key_step
+                if new_step == 1:
+                    new_step = None
+                return PGroup(slice(new_start, new_stop, new_step), None,
+                              self.axis)
+            elif isinstance(key, int):
+                return PGroup(orig_start_pos + key * orig_step, None, self.axis)
+            elif isinstance(key, (tuple, list)):
+                return PGroup([orig_start_pos + k * orig_step for k in key],
+                              None, self.axis)
+        elif isinstance(orig_key, LArray):
+            return cls(orig_key.i[key], None, self.axis)
+        elif isinstance(orig_key, int):
+            # give the opportunity to subset the label/key itself (for example for string keys)
+            value = self.eval()
+            return value[key]
+        else:
+            raise TypeError("cannot take a subset of {} because it has a "
+                            "'{}' key".format(self.key, type(self.key)))
+
+    def __eq__(self, other):
+        # different name or axis compare equal !
+        # XXX: we might want to compare "expanded" keys using self.eval(), so that slices
+        # can match lists and vice-versa. This might be too slow though.
+        other_key = other.key if isinstance(other, Group) else _to_key(other)
+        return _to_tick(self.key) == _to_tick(other_key)
+
+    def __lt__(self, other):
+        other_key = other.eval() if isinstance(other, Group) else other
+        return self.eval().__lt__(other_key)
+
+    def __le__(self, other):
+        other_key = other.eval() if isinstance(other, Group) else other
+        return self.eval().__le__(other_key)
+
+    def __gt__(self, other):
+        other_key = other.key if isinstance(other, Group) else other
+        return self.eval().__gt__(other_key)
+
+    def __ge__(self, other):
+        other_key = other.key if isinstance(other, Group) else other
+        return self.eval().__ge__(other_key)
+
+    def __contains__(self, item):
+        # XXX: ideally, we shouldn't need to test for Group (hash should hash to the same as item.eval())
+        if isinstance(item, Group):
+            item = item.eval()
+        return item in self.eval()
+
+    # this makes range(LGroup(int)) possible
+    def __index__(self):
+        return self.eval().__index__()
+
+    def __int__(self):
+        return self.eval().__int__()
+
+    def __float__(self):
+        return self.eval().__float__()
+
+    def __hash__(self):
+        # to_tick & to_key are partially opposite operations but this
+        # standardize on a single notation so that they can all target each
+        # other. eg, this removes spaces in "list strings", instead of
+        # hashing them directly
+        # XXX: but we might want to include that normalization feature in
+        #      to_tick directly, instead of using to_key explicitly here
+        # XXX: we might want to make hash use the position along the axis instead of the labels so that if an
+        #      axis has ambiguous labels, they do not hash to the same thing.
+        # XXX: for performance reasons, I think hash should not evaluate slices. It should only translate pos bounds to
+        #      labels or vice versa. We would loose equality between list Groups and equivalent slice groups but that
+        #      is a small price to pay if the performance impact is large.
+        # the problem with using self.translate() is that we cannot compare groups without axis
+        # return hash(_to_tick(self.translate()))
+        return hash(_to_tick(self.key))
+
 
 # TODO: factorize as much as possible between LGroup & PGroup (move stuff to
 #       Group)
@@ -1419,61 +1813,14 @@ class LGroup(Group):
 
     Examples
     --------
-    >>> age = Axis('age', range(100))
+    >>> age = Axis('age', '0..100')
     >>> teens = x.age[10:19].named('teens')
     >>> teens
     LGroup(slice(10, 19, None), name='teens', axis=AxisReference('age'))
     """
-    # this makes range(LGroup(int)) possible
-    def __index__(self):
-        return self.key.__index__()
-
-    def __int__(self):
-        return self.key.__int__()
-
-    def __float__(self):
-        return self.key.__float__()
-
-    def __hash__(self):
-        # to_tick & to_key are partially opposite operations but this
-        # standardize on a single notation so that they can all target each
-        # other. eg, this removes spaces in "list strings", instead of
-        # hashing them directly
-        # XXX: but we might want to include that normalization feature in
-        #      to_tick directly, instead of using to_key explicitly here
-        # XXX: we probably want to include this normalization in __init__
-        #      instead
-        return hash(_to_tick(_to_key(self.key)))
-
-    def __eq__(self, other):
-        # different name or axis compare equal !
-        # XXX: we might want to compare "expanded" keys, so that slices
-        # can match lists and vice-versa.
-        other_key = other.key if isinstance(other, LGroup) else other
-        return _to_tick(_to_key(self.key)) == _to_tick(_to_key(other_key))
-
-    def __str__(self):
-        key = _to_key(self.key)
-        if isinstance(key, slice):
-            str_key = _slice_to_str(key, use_repr=True)
-        elif isinstance(key, (tuple, list, np.ndarray)):
-            str_key = '[%s]' % _seq_summary(key, 1)
-        else:
-            str_key = repr(key)
-
-        return '%r (%s)' % (self.name, str_key) if self.name is not None \
-            else str_key
-
-    def __lt__(self, other):
-        other_key = other.key if isinstance(other, LGroup) else other
-        return self.key.__lt__(other_key)
-
-    def __gt__(self, other):
-        other_key = other.key if isinstance(other, LGroup) else other
-        return self.key.__gt__(other_key)
-
-    def __getitem__(self, key):
-        return self.key[key]
+    def __init__(self, key, name=None, axis=None):
+        key = _to_key(key)
+        Group.__init__(self, key, name, axis)
 
     def _to_oset(self):
         lkey = self.eval()
@@ -1513,6 +1860,31 @@ def opmethod(self, other):
     difference = _binop('sub', '-')
     __sub__ = difference
 
+    #XXX: return PGroup instead?
+    def translate(self, bound=None, stop=False):
+        """
+        compute position(s) of group
+        """
+        if bound is None:
+            bound = self.key
+        if isinstance(self.axis, Axis):
+            pos = self.axis.translate(bound)
+            return pos + int(stop) if np.isscalar(pos) else pos
+        else:
+            raise ValueError("Cannot translate an LGroup without axis")
+
+    def eval(self):
+        if isinstance(self.key, slice):
+            if isinstance(self.axis, Axis):
+                # expand slices
+                return self.axis.labels[self.translate()]
+            else:
+                return self.key
+                # raise ValueError("Cannot evaluate a slice group without axis")
+        else:
+            # we do not check the group labels are actually valid on Axis
+            return self.key
+
 
 class PGroup(Group):
     """Positional Group.
@@ -1523,14 +1895,27 @@ class PGroup(Group):
     ----------
     key : key
         Anything usable for indexing.
-        A key should be either sequence of labels, a slice with
-        label bounds or a string.
+        A key should be either a single position, a sequence of positions, or a slice with
+        integer bounds.
     name : str, optional
         Name of the group.
     axis : int, str, Axis, optional
         Axis for group.
     """
-    pass
+    def translate(self, bound=None, stop=False):
+        """
+        compute position(s) of group
+        """
+        if bound is not None:
+            return bound
+        else:
+            return self.key
+
+    def eval(self):
+        if isinstance(self.axis, Axis):
+            return self.axis.labels[self.key]
+        else:
+            raise ValueError("Cannot evaluate a positional group without axis")
 
 
 def index_by_id(seq, value):
@@ -5063,7 +5448,8 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 res = res_data
         return res
 
-    def _prepare_aggregate(self, op, args, kwargs=None, commutative=False):
+    def _prepare_aggregate(self, op, args, kwargs=None, commutative=False,
+                           stack_depth=1):
         """converts args to keys & VG and kwargs to VG"""
 
         if kwargs is None:
@@ -5092,18 +5478,20 @@ def _prepare_aggregate(self, op, args, kwargs=None, commutative=False):
 
         # convert kwargs to LGroup so that we can only use args afterwards
         # but still keep the axis information
-        def standardise_kw_arg(axis_name, key):
+        def standardise_kw_arg(axis_name, key, stack_depth=1):
             if isinstance(key, str):
-                key = to_keys(key)
+                key = to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
-                return tuple(standardise_kw_arg(axis_name, k) for k in key)
+                # XXX +2?
+                return tuple(standardise_kw_arg(axis_name, k, stack_depth + 1)
+                             for k in key)
             if isinstance(key, LGroup):
                 return key
             return self.axes[axis_name][key]
 
-        def to_labelgroup(key):
+        def to_labelgroup(key, stack_depth=1):
             if isinstance(key, str):
-                key = to_keys(key)
+                key = to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
                 # a tuple is supposed to be several groups on the same axis
                 # TODO: it would be better to use
@@ -5115,7 +5503,7 @@ def to_labelgroup(key):
                 # ideally it shouldn't be the same???)
                 # groups = tuple(self._translate_axis_key(k)
                 #                for k in key)
-                groups = tuple(self._guess_axis(k) for k in key)
+                groups = tuple(self._guess_axis(_to_key(k, stack_depth + 1)) for k in key)
                 axis = groups[0].axis
                 if not all(g.axis.equals(axis) for g in groups[1:]):
                     raise ValueError("group with different axes: %s"
@@ -5128,14 +5516,16 @@ def to_labelgroup(key):
                                           "group aggregate key"
                                           % (key, type(key).__name__))
 
-        def standardise_arg(arg):
+        def standardise_arg(arg, stack_depth=1):
             if self.axes.isaxis(arg):
                 return self.axes[arg]
             else:
-                return to_labelgroup(to_keys(arg))
+                return to_labelgroup(arg, stack_depth + 1)
 
-        operations = [standardise_arg(a) for a in args if a is not None] + \
-                     [standardise_kw_arg(k, v) for k, v in sorted_kwargs]
+        operations = [standardise_arg(a, stack_depth=stack_depth + 2)
+                      for a in args if a is not None] + \
+                     [standardise_kw_arg(k, v, stack_depth=stack_depth + 2)
+                      for k, v in sorted_kwargs]
         if not operations:
             # op() without args is equal to op(all_axes)
             operations = self.axes
@@ -5143,7 +5533,8 @@ def standardise_arg(arg):
 
     def _aggregate(self, op, args, kwargs=None, keepaxes=False,
                    commutative=False, out=None, extra_kwargs={}):
-        operations = self._prepare_aggregate(op, args, kwargs, commutative)
+        operations = self._prepare_aggregate(op, args, kwargs, commutative,
+                                             stack_depth=3)
         res = self
         # group *consecutive* same-type (group vs axis aggregates) operations
         # we do not change the order of operations since we only group
@@ -5208,7 +5599,8 @@ def with_total(self, *args, **kwargs):
             percentile: np.percentile,
         }
         # TODO: commutative should be known for usual ops
-        operations = self._prepare_aggregate(op, args, kwargs, False)
+        operations = self._prepare_aggregate(op, args, kwargs, False,
+                                             stack_depth=2)
         res = self
         # TODO: we should allocate the final result directly and fill it
         #       progressively, so that the original array is only copied once
@@ -5393,7 +5785,6 @@ def posargmax(self, axis=None):
         else:
             return np.unravel_index(self.data.argmax(), self.shape)
 
-
     def argsort(self, axis=None, kind='quicksort'):
         """Returns the labels that would sort this array.
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index de274b65a..ba0279475 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -8,10 +8,10 @@
 import numpy as np
 import pandas as pd
 
-from larray import (LArray, Axis, AxisCollection, LGroup, union,
-                    read_csv, zeros, zeros_like, ndrange, ones, eye, diag,
-                    clip, exp, where, x, mean, isnan, round)
-from larray.core import _to_ticks, _to_key, _srange, df_aslarray
+from larray import (LArray, Axis, AxisCollection, LGroup, PGroup, union,
+                    read_csv, zeros, zeros_like, ndrange, ndtest,
+                    ones, eye, diag, clip, exp, where, x, mean, isnan, round)
+from larray.core import _to_ticks, _to_key, df_aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -77,12 +77,12 @@ def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
 
     def test_range(self):
-        self.assertEqual(_to_ticks('0:115'), range(116))
-        self.assertEqual(_to_ticks(':115'), range(116))
+        self.assertEqual(_to_ticks('0..115'), range(116))
+        self.assertEqual(_to_ticks('..115'), range(116))
         with self.assertRaises(ValueError):
-            _to_ticks('10:')
+            _to_ticks('10..')
         with self.assertRaises(ValueError):
-            _to_ticks(':')
+            _to_ticks('..')
 
 
 class TestKeyStrings(TestCase):
@@ -97,14 +97,10 @@ def test_split(self):
         self.assertEqual(_to_key('H'), 'H')
 
     def test_slice_strings(self):
-        # XXX: we might want to return real int instead, because if we ever
-        # want to have more complex queries, such as:
-        # arr.filter(age > 10 and age < 20)
-        # this would break for string values (because '10' < '2')
         # XXX: these two examples return different things, do we want that?
-        self.assertEqual(_to_key('0:115'), slice('0', '115'))
-        self.assertEqual(_to_key(':115'), slice('115'))
-        self.assertEqual(_to_key('10:'), slice('10', None))
+        self.assertEqual(_to_key('0:115'), slice(0, 115))
+        self.assertEqual(_to_key(':115'), slice(115))
+        self.assertEqual(_to_key('10:'), slice(10, None))
         self.assertEqual(_to_key(':'), slice(None))
 
 
@@ -131,7 +127,7 @@ def test_init(self):
         # list of ints
         assert_array_equal(Axis('age', range(116)).labels, np.arange(116))
         # range-string
-        assert_array_equal(Axis('age', ':115').labels, np.arange(116))
+        assert_array_equal(Axis('age', '..115').labels, np.arange(116))
 
     def test_equals(self):
         self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', 'H,F')))
@@ -141,19 +137,19 @@ def test_equals(self):
         self.assertFalse(Axis('sex1', 'M,F').equals(Axis('sex2', 'H,F')))
 
     def test_group(self):
-        age = Axis('age', ':115')
-        ages_list = ['1', '5', '9']
+        age = Axis('age', '..115')
+        ages_list = [1, 5, 9]
         self.assertEqual(age.group(ages_list), LGroup(ages_list, axis=age))
         self.assertEqual(age.group(ages_list), LGroup(ages_list))
         self.assertEqual(age.group('1,5,9'), LGroup(ages_list))
-        self.assertEqual(age.group('1', '5', '9'), LGroup(ages_list))
+        self.assertEqual(age.group(1, 5, 9), LGroup(ages_list))
 
         # with a slice string
-        self.assertEqual(age.group('10:20'), LGroup(slice('10', '20')))
+        self.assertEqual(age.group('10:20'), LGroup(slice(10, 20)))
 
         # with name
-        group = age.group(_srange(10, 20), name='teens')
-        self.assertEqual(group.key, _srange(10, 20))
+        group = age.group(ages_list, name='teens')
+        self.assertEqual(group.key, ages_list)
         self.assertEqual(group.name, 'teens')
         self.assertIs(group.axis, age)
 
@@ -196,21 +192,26 @@ def test_match(self):
         self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
 
     def test_getitem(self):
-        age = Axis('age', ':115')
-        vg = age.group(':17')
+        age = Axis('age', '0..10')
+        lg = age.group(':3')
         # these are equivalent
-        self.assertEqual(age[:'17'], vg)
-        self.assertEqual(age[':17'], vg)
+        # self.assertEqual(age[:'17'], lg)
+        group = age[':3']
+        self.assertEqual(group.key, slice(None, 3, None))
+        self.assertTrue(group.axis.equals(age))
+        self.assertEqual(group, lg, "%s != %s" % (group, lg))
+        # self.assertEqual(age[':7'], lg)
 
         group = age[:]
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
     def test_iter(self):
-        self.assertEqual(list(Axis('sex', 'H,F')), ['H', 'F'])
+        sex = Axis('sex', 'H,F')
+        self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
 
     def test_positional(self):
-        age = Axis('age', ':115')
+        age = Axis('age', '..115')
 
         # these are NOT equivalent (not translated until used in an LArray
         # self.assertEqual(age.i[:17], age[':17'])
@@ -219,14 +220,14 @@ def test_positional(self):
         self.assertIs(key.axis, age)
 
     def test_all(self):
-        age = Axis('age', ':115')
+        age = Axis('age', '..115')
         group = age.all()
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
     def test_contains(self):
         # normal Axis
-        age = Axis('age', ':10')
+        age = Axis('age', '..10')
 
         age2 = age.group('2')
         age2bis = age.group('2,')
@@ -239,7 +240,7 @@ def test_contains(self):
         age20qua = '20,'
 
         # TODO: move assert to another test
-        self.assertEqual(age2bis, age2ter)
+        # self.assertEqual(age2bis, age2ter)
 
         age247 = age.group('2,4,7')
         age247bis = age.group(['2', '4', '7'])
@@ -247,9 +248,10 @@ def test_contains(self):
         age468 = age.group('4,6,8', name='even')
 
         self.assertTrue(5 in age)
+        # FIXME: sadly, to be consistent, we should make this True
         self.assertFalse('5' in age)
 
-        self.assertFalse(age2 in age)
+        self.assertTrue(age2 in age)
         # only single ticks are "contained" in the axis, not "collections"
         self.assertFalse(age2bis in age)
         self.assertFalse(age2ter in age)
@@ -318,7 +320,7 @@ def test_contains(self):
 
 class TestLGroup(TestCase):
     def setUp(self):
-        self.age = Axis('age', ':115')
+        self.age = Axis('age', '..115')
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 10)])
         self.anonymous = Axis(None, range(3))
 
@@ -337,21 +339,22 @@ def setUp(self):
 
     def test_init(self):
         self.assertEqual(self.slice_both_named_wh_named_axis.name, "full")
-        self.assertEqual(self.slice_both_named_wh_named_axis.key, '1:5')
+        self.assertEqual(self.slice_both_named_wh_named_axis.key, slice(1, 5, None))
         self.assertEqual(self.slice_both_named.name, "named")
-        self.assertEqual(self.slice_both_named.key, '1:5')
-        self.assertEqual(self.slice_both.key, '1:5')
-        self.assertEqual(self.slice_start.key, '1:')
-        self.assertEqual(self.slice_stop.key, ':5')
-        self.assertEqual(self.slice_none_no_axis.key, ':')
+        self.assertEqual(self.slice_both_named.key, slice(1, 5, None))
+        self.assertEqual(self.slice_both.key, slice(1, 5, None))
+        self.assertEqual(self.slice_start.key, slice(1, None, None))
+        self.assertEqual(self.slice_stop.key, slice(None, 5, None))
+        self.assertEqual(self.slice_none_no_axis.key, slice(None, None, None))
         self.assertIs(self.slice_none_wh_named_axis.axis, self.lipro)
         self.assertIs(self.slice_none_wh_anonymous_axis.axis, self.anonymous)
 
         self.assertEqual(self.single_value.key, 'P03')
-        self.assertEqual(self.list.key, 'P01,P03,P07')
+        self.assertEqual(self.list.key, ['P01', 'P03', 'P07'])
 
     def test_eq(self):
-        self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)
+        # with axis vs no axis do not compare equal
+        # self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)
         self.assertEqual(self.slice_both, self.slice_both_named)
         self.assertEqual(self.slice_both, LGroup(slice('1', '5')))
         self.assertEqual(self.slice_start, LGroup(slice('1', None)))
@@ -428,7 +431,7 @@ def test_sub(self):
 
     def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
-                         LGroup(['a', 'b', 'c', 'd']))
+                         [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
 
     def test_hash(self):
         d = {self.slice_both: 1,
@@ -469,30 +472,28 @@ def test_hash(self):
         self.assertEqual(d.get(LGroup(('P01', 'P03', 'P07'))), 3)
 
     def test_str(self):
-        self.assertEqual(str(self.slice_both_named_wh_named_axis),
-                         "'full' ('1':'5')")
-        self.assertEqual(str(self.slice_both_named), "'named' ('1':'5')")
-        self.assertEqual(str(self.slice_both), "'1':'5'")
-        self.assertEqual(str(self.slice_start), "'1':")
-        self.assertEqual(str(self.slice_stop), ":'5'")
+        self.assertEqual(str(self.slice_both_named_wh_named_axis), "full")
+        self.assertEqual(str(self.slice_both_named), "named")
+        self.assertEqual(str(self.slice_both), "1:5")
+        self.assertEqual(str(self.slice_start), "1:")
+        self.assertEqual(str(self.slice_stop), ":5")
         self.assertEqual(str(self.slice_none_no_axis), ':')
         self.assertEqual(str(self.single_value), "'P03'")
         self.assertEqual(str(self.list), "['P01' ... 'P07']")
 
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named),
-                         "LGroup('1:5', name='named')")
-        self.assertEqual(repr(self.slice_both), "LGroup('1:5')")
-        self.assertEqual(repr(self.list), "LGroup('P01,P03,P07')")
-        self.assertEqual(repr(self.slice_none_no_axis), "LGroup(':')")
+                         "LGroup(slice(1, 5, None), name='named')")
+        self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
+        self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P07'])")
+        self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
         target = \
-            "LGroup(':', axis=Axis('lipro', ['P01', 'P02', 'P03', 'P04', " \
-                                            "'P05', 'P06', 'P07', 'P08', " \
-                                            "'P09']))"
-        self.assertEqual(repr(self.slice_none_wh_named_axis),
-                         target)
+            "LGroup(slice(None, None, None), axis=Axis('lipro', ['P01', 'P02', 'P03', 'P04', " \
+                                                                "'P05', 'P06', 'P07', 'P08', " \
+                                                                "'P09']))"
+        self.assertEqual(repr(self.slice_none_wh_named_axis), target)
         self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
-                         "LGroup(':', axis=Axis(None, [0, 1, 2]))")
+                         "LGroup(slice(None, None, None), axis=Axis(None, [0, 1, 2]))")
 
 
 class TestAxisCollection(TestCase):
@@ -500,9 +501,9 @@ def setUp(self):
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 5)])
         self.sex = Axis('sex', 'H,F')
         self.sex2 = Axis('sex', 'F,H')
-        self.age = Axis('age', ':7')
+        self.age = Axis('age', '..7')
         self.geo = Axis('geo', 'A11,A12,A13')
-        self.value = Axis('value', ':10')
+        self.value = Axis('value', '..10')
         self.collection = AxisCollection((self.lipro, self.sex, self.age))
 
     def test_eq(self):
@@ -687,14 +688,14 @@ def test_add(self):
 
         # b) with compatible dupe
         # the "new" age axis is ignored (because it is compatible)
-        new = col + [Axis('geo', 'A11,A12,A13'), Axis('age', ':7')]
+        new = col + [Axis('geo', 'A11,A12,A13'), Axis('age', '..7')]
         self.assertEqual(new, [lipro, sex, age, geo])
 
         # c) with incompatible dupe
         # XXX: the "new" age axis is ignored. We might want to ignore it if it
         #  is the same but raise an exception if it is different
         with self.assertRaises(ValueError):
-            col + [Axis('geo', 'A11,A12,A13'), Axis('age', ':6')]
+            col + [Axis('geo', 'A11,A12,A13'), Axis('age', '..6')]
 
         # 2) other AxisCollection
         new = col + AxisCollection([geo, value])
@@ -1853,7 +1854,7 @@ def test_group_agg_guess_axis(self):
 
         self.assertEqual(la.sum('A11,A21,A25').shape, (116, 2, 15))
         # with a name
-        self.assertEqual(la.sum('g1=A11,A21,A25').shape, (116, 2, 15))
+        self.assertEqual(la.sum('A11,A21,A25 >> g1').shape, (116, 2, 15))
         self.assertEqual(la.sum(['A11', 'A21', 'A25']).shape, (116, 2, 15))
 
         # Include everything between two labels. Since A11 is the first label
@@ -1882,7 +1883,7 @@ def test_group_agg_guess_axis(self):
         self.assertEqual(la.sum(('H', 'H,F')).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum('H;H,F').shape, (116, 44, 2, 15))
         # with group names
-        res = la.sum('men=H;all=H,F')
+        res = la.sum('H >> men;H,F >> all')
         self.assertEqual(res.shape, (116, 44, 2, 15))
         self.assertTrue('sex' in res.axes)
         men = sex['H'].named('men')
@@ -1891,7 +1892,7 @@ def test_group_agg_guess_axis(self):
         assert_array_equal(res['men'], raw[:, :, 0, :])
         assert_array_equal(res['all'], raw.sum(2))
 
-        res = la.sum(('men=H', 'all=H,F'))
+        res = la.sum(('H >> men', 'H,F >> all'))
         self.assertEqual(res.shape, (116, 44, 2, 15))
         self.assertTrue('sex' in res.axes)
         assert_array_equal(res.axes.sex.labels, [men, all_])
@@ -2445,8 +2446,8 @@ def test_sum_with_groups_from_other_axis(self):
         # the same name in the array
         lipro4 = Axis('lipro', 'P01,P03,P16')
         with self.assertRaisesRegexp(ValueError,
-                                     "\['P01' 'P16'\] is not a valid label for "
-                                     "any axis"):
+                                     "lipro\['P01' 'P16'\] is not a valid "
+                                     "label for any axis"):
             small.sum(lipro4['P01,P16'])
 
     def test_ratio(self):

From 4b9bdf74657d51fae1f6d26f6c66989c68592f4e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 247/899] implemented AxisCollection and LArray.combine_axes &
 split_axis

---
 larray/core.py          | 207 +++++++++++++++++++++++++++++++++++++---
 larray/tests/test_la.py |  61 ++++++++++++
 2 files changed, 257 insertions(+), 11 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8be06557f..414d051e8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1980,9 +1980,8 @@ class AxisCollection(object):
 
     Notes
     -----
-    Multiple occurrences of the same axis is not allowed.
-    However, several axes with the same name but different labels are allowed
-    but it is not recommended.
+    Multiple occurrences of the same axis object is not allowed.
+    However, several axes with the same name are allowed but this is not recommended.
 
     Examples
     --------
@@ -2784,7 +2783,7 @@ def labels(self):
         -------
         >>> age = Axis('age', range(10))
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
-        >>> AxisCollection([age, time]).labels # doctest: +NORMALIZE_WHITESPACE
+        >>> AxisCollection([age, time]).labels  # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
          array([2007, 2008, 2009, 2010])]
         """
@@ -2954,6 +2953,100 @@ def info(self):
         shape = " x ".join(str(s) for s in self.shape)
         return ReprString('\n'.join([shape] + lines))
 
+    # XXX: instead of front_if_spread, we might want to require axes to be contiguous
+    #      (ie the caller would have to transpose axes before calling this)
+    def combine_axes(self, axes=None, wildcard=False, front_if_spread=False):
+        """Combine several axes into one.
+
+        Parameters
+        ----------
+        axes : tuple, list or AxisCollection of axes, optional
+            axes to combine. Defaults to all axes.
+        wildcard : bool, optional
+            whether or not to produce a wildcard axis even if the axes to
+            combine are not. This is much faster, but loose axes labels.
+        front_if_spread : bool, optional
+            whether or not to move the combined axis at the front (it will be
+            the first axis) if the combined axes are not next to each
+            other.
+
+        Returns
+        -------
+        AxisCollection
+        """
+        axes = self if axes is None else self[axes]
+        axes_indices = [self.index(axis) for axis in axes]
+        diff = np.diff(axes_indices)
+        # combined axes in front
+        if front_if_spread and np.any(diff > 1):
+            combined_axis_pos = 0
+        else:
+            combined_axis_pos = min(axes_indices)
+
+        # all anonymous axes => anonymous combined axis
+        if all(axis.name is None for axis in axes):
+            combined_name = None
+        else:
+            combined_name = '_'.join(str(id_) for id_ in axes.ids)
+
+        if wildcard:
+            combined_axis = Axis(combined_name, axes.size)
+        else:
+            # TODO: the combined keys should be objects which display as:
+            # (axis1_label, axis2_label, ...) but which should also store
+            # the axes names)
+            # Q: Should it be the same object as the NDLGroup?/NDKey?
+            # A: yes. On the Pandas backend, we could/should have
+            #    separate axes. On the numpy backend we cannot.
+            if len(axes) == 1:
+                # Q: if axis is a wildcard axis, should the result be a
+                #    wildcard axis (and axes_labels discarded?)
+                combined_labels = axes[0].labels
+            else:
+                combined_labels = ['_'.join(str(l) for l in p)
+                                   for p in product(*axes.labels)]
+
+            combined_axis = Axis(combined_name, combined_labels)
+        new_axes = self - axes
+        new_axes.insert(combined_axis_pos, combined_axis)
+        return new_axes
+
+    def split_axis(self, axis, sep='_', names=None):
+        """Split one axis and returns a new collection
+
+        Parameters
+        ----------
+        axis : int, str or Axis
+            axis to split. All its labels *must* contain the given delimiter
+            string.
+        sep : str, optional
+            delimiter to use for splitting. Defaults to '_'.
+        names : list of names, optional
+            names of resulting axes. Defaults to split the combined axis name
+            using the given delimiter string.
+
+        Returns
+        -------
+        AxisCollection
+        """
+        axis = self[axis]
+        axis_index = self.index(axis)
+        if names is None:
+            if sep not in axis.name:
+                raise ValueError('{} not found in axis name ({})'
+                                 .format(sep, axis.name))
+            else:
+                names = axis.name.split(sep)
+        else:
+            assert all(isinstance(name, str) for name in names)
+        # gives us an array of lists
+        split_labels = np.char.split(axis.labels, sep)
+        # not using np.unique because we want to keep the original order
+        axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
+        split_axes = [Axis(name, axis_labels)
+                      for name, axis_labels in zip(names, axes_labels)]
+        return self[:axis_index] + split_axes + self[axis_index + 1:]
+
 
 def all(values, axis=None):
     """
@@ -4901,6 +4994,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         -----
         See examples of properties `points` and `ipoints`.
         """
+        # TODO: use AxisCollection.combine_axes. The problem is that combine_axes use product(*axes_labels)
+        #       while here we need zip(*axes_labels)
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
                          if not _isnoneslice(axis_key) and
                             not np.isscalar(axis_key)]
@@ -4918,13 +5013,11 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
             combined_axis_pos = 0
         else:
             combined_axis_pos = axes_indices[0]
-        # XXX: I am not sure we should keep axis.id (when axis had no name),
-        #      especially if there was only one combined axis because that
-        #      transforms an anonymous axis into a "normal" name. On the other
-        #      hand, not keeping it loose information. The question is whether
-        #      that information is worth keeping :)
-        combined_name = ','.join(str(self.axes.axis_id(axis))
-                                 for axis in combined_axes)
+        # all anonymous axes => anonymous combined axis
+        if all(axis.name is None for axis in combined_axes):
+            combined_name = None
+        else:
+            combined_name = ','.join(str(self.axes.axis_id(axis)) for axis in combined_axes)
         new_axes = other_axes
         if combined_axis_pos is not None:
             if wildcard_allowed:
@@ -7224,6 +7317,98 @@ def compact(self):
                 res = res[axis.i[0]]
         return res
 
+    def combine_axes(self, axes=None, wildcard=False):
+        """Combine several axes into one.
+
+        Parameters
+        ----------
+        axes : tuple, list or AxisCollection of axes, optional
+            axes to combine. Defaults to all axes.
+        wildcard : bool, optional
+            whether or not to produce a wildcard axis even if the axes to
+            combine are not. This is much faster, but loose axes labels.
+
+        Returns
+        -------
+        LArray
+            Array with combined axes.
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+        >>> arr.combine_axes()
+        a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
+            |     0 |     1 |     2 |     3 |     4 |     5
+        >>> arr = ndtest((2, 3, 4))
+        >>> arr
+         a | b\\c | c0 | c1 | c2 | c3
+        a0 |  b0 |  0 |  1 |  2 |  3
+        a0 |  b1 |  4 |  5 |  6 |  7
+        a0 |  b2 |  8 |  9 | 10 | 11
+        a1 |  b0 | 12 | 13 | 14 | 15
+        a1 |  b1 | 16 | 17 | 18 | 19
+        a1 |  b2 | 20 | 21 | 22 | 23
+        >>> arr.combine_axes((x.a, x.c))
+        a_c\\b | b0 | b1 | b2
+        a0_c0 |  0 |  4 |  8
+        a0_c1 |  1 |  5 |  9
+        a0_c2 |  2 |  6 | 10
+        a0_c3 |  3 |  7 | 11
+        a1_c0 | 12 | 16 | 20
+        a1_c1 | 13 | 17 | 21
+        a1_c2 | 14 | 18 | 22
+        a1_c3 | 15 | 19 | 23
+        """
+        axes = self.axes if axes is None else self.axes[axes]
+        # transpose all axes next to each other, using position of first axis
+        axes_indices = [self.axes.index(axis) for axis in axes]
+        min_axis_index = min(axes_indices)
+        transposed_axes = self.axes[:min_axis_index] + axes + self.axes
+        transposed = self.transpose(transposed_axes)
+
+        new_axes = transposed.axes.combine_axes(axes, wildcard=wildcard)
+        return transposed.reshape(new_axes)
+
+    def split_axis(self, axis, sep='_', names=None):
+        """Split one axis and returns a new array
+
+        Parameters
+        ----------
+        axis : int, str or Axis
+            axis to split. All its labels *must* contain the given delimiter
+            string.
+        sep : str, optional
+            delimiter to use for splitting. Defaults to '_'.
+        names : list of names, optional
+            names of resulting axes. Defaults to split the combined axis name
+            using the given delimiter string.
+
+        Returns
+        -------
+        LArray
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 3))
+        >>> arr
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+        >>> combined = arr.combine_axes()
+        >>> combined
+        a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
+            |     0 |     1 |     2 |     3 |     4 |     5
+        >>> combined.split_axis(x.a_b)
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+        """
+        return self.reshape(self.axes.split_axis(axis, sep, names))
+
 
 def parse(s):
     """
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index ba0279475..c8dc856e4 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -701,6 +701,34 @@ def test_add(self):
         new = col + AxisCollection([geo, value])
         self.assertEqual(new, [lipro, sex, age, geo, value])
 
+    def test_combine(self):
+        col = self.collection.copy()
+        lipro, sex, age = self.lipro, self.sex, self.age
+        res = col.combine_axes((lipro, sex))
+        self.assertEqual(res.names, ['lipro_sex', 'age'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4 * 2, 8))
+        print(res.info)
+        assert_array_equal(res.lipro_sex.labels[0], 'P01_H')
+        res = col.combine_axes((lipro, age))
+        self.assertEqual(res.names, ['lipro_age', 'sex'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4 * 8, 2))
+        assert_array_equal(res.lipro_age.labels[0], 'P01_0')
+        res = col.combine_axes((sex, age))
+        self.assertEqual(res.names, ['lipro', 'sex_age'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4, 2 * 8))
+        assert_array_equal(res.sex_age.labels[0], 'H_0')
+
+    def test_info(self):
+        expected = """\
+4 x 2 x 8
+ lipro [4]: 'P01' 'P02' 'P03' 'P04'
+ sex [2]: 'H' 'F'
+ age [8]: 0 1 2 ... 5 6 7"""
+        self.assertEqual(self.collection.info, expected)
+
     def test_str(self):
         self.assertEqual(str(self.collection), "{lipro, sex, age}")
 
@@ -3055,6 +3083,39 @@ def test_plot(self):
     #     # b.xlsx/Sheet1/A10
     #     b.to_excel('c:/tmp/b.xlsx', 'Sheet1', 'A10')
 
+    def test_combine_axes(self):
+        arr = ndtest((2, 3, 4, 5))
+        res = arr.combine_axes((x.a, x.b))
+        self.assertEqual(res.axes.names, ['a_b', 'c', 'd'])
+        self.assertEqual(res.size, arr.size)
+        self.assertEqual(res.shape, (2 * 3, 4, 5))
+        assert_array_equal(res.axes.a_b.labels[:2], ['a0_b0', 'a0_b1'])
+        assert_array_equal(res['a1_b0'], arr['a1', 'b0'])
+
+        res = arr.combine_axes((x.a, x.c))
+        self.assertEqual(res.axes.names, ['a_c', 'b', 'd'])
+        self.assertEqual(res.size, arr.size)
+        self.assertEqual(res.shape, (2 * 4, 3, 5))
+        assert_array_equal(res.axes.a_c.labels[:2], ['a0_c0', 'a0_c1'])
+        assert_array_equal(res['a1_c0'], arr['a1', 'c0'])
+
+        res = arr.combine_axes((x.b, x.d))
+        self.assertEqual(res.axes.names, ['a', 'b_d', 'c'])
+        self.assertEqual(res.size, arr.size)
+        self.assertEqual(res.shape, (2, 3 * 5, 4))
+        assert_array_equal(res.axes.b_d.labels[:2], ['b0_d0', 'b0_d1'])
+        assert_array_equal(res['b1_d0'], arr['b1', 'd0'])
+
+    def test_split_axis(self):
+        arr = ndtest((2, 3, 4, 5))
+        res = arr.combine_axes((x.b, x.d))
+        self.assertEqual(res.axes.names, ['a', 'b_d', 'c'])
+        res = res.split_axis('b_d')
+        self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
+        self.assertEqual(res.size, arr.size)
+        self.assertEqual(res.shape, (2, 3, 5, 4))
+        assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
+
 
 if __name__ == "__main__":
     import doctest

From b6bf2efddb2a641ac185a9d646cab0eeaf3ec533 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 248/899] CLN: misc docstring cleanup

---
 larray/core.py | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 414d051e8..e3dd501d5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7827,8 +7827,7 @@ def ones_like(array, dtype=None, order='K'):
 
 
 def empty(axes, dtype=float, order='C'):
-    """Returns an array with the specified axes and uninitialized
-    (arbitrary) data.
+    """Returns an array with the specified axes and uninitialized (arbitrary) data.
 
     Parameters
     ----------
@@ -7859,15 +7858,14 @@ def empty(axes, dtype=float, order='C'):
 
 
 def empty_like(array, dtype=None, order='K'):
-    """Returns an array with the same axes as array and
-    uninitialized (arbitrary) data.
+    """Returns an array with the same axes as array and uninitialized (arbitrary) data.
 
     Parameters
     ----------
     array : LArray
         Input array.
     dtype : data-type, optional
-        Overrides the data type of the result.
+        Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
         Overrides the memory layout of the result. 'C' means C-order,
         'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,
@@ -7901,8 +7899,7 @@ def full(axes, fill_value, dtype=None, order='C'):
     fill_value : scalar or LArray
         Value to fill the array
     dtype : data-type, optional
-        Desired data-type for the array. Default is the data type of
-        fill_value.
+        Desired data-type for the array. Default is the data type of fill_value.
     order : {'C', 'F'}, optional
         Whether to store multidimensional data in C- (default) or
         Fortran-contiguous (row- or column-wise) order in memory.
@@ -7935,7 +7932,7 @@ def full(axes, fill_value, dtype=None, order='C'):
 
 
 def full_like(array, fill_value, dtype=None, order='K'):
-    """Returns an array with the same axes as input array and filled with fill_value.
+    """Returns an array with the same axes and type as input array and filled with fill_value.
 
     Parameters
     ----------
@@ -7944,7 +7941,7 @@ def full_like(array, fill_value, dtype=None, order='K'):
     fill_value : scalar or LArray
         Value to fill the array
     dtype : data-type, optional
-        Overrides the data type of the result.
+        Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
         Overrides the memory layout of the result. 'C' means C-order,
         'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,

From 795f6194d41e41ba5e7d5febac79491e90e9c394 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 249/899] fixed full and full_like with an explicit dtype (the
 dtype was ignored)

---
 larray/core.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index e3dd501d5..55e602017 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7760,8 +7760,7 @@ def zeros_like(array, dtype=None, order='K'):
             0 | 0 | 0 | 0
             1 | 0 | 0 | 0
     """
-    axes = array.axes
-    return LArray(np.zeros_like(array, dtype, order), axes)
+    return LArray(np.zeros_like(array, dtype, order), array.axes)
 
 
 def ones(axes, dtype=float, order='C'):
@@ -7925,7 +7924,8 @@ def full(axes, fill_value, dtype=None, order='C'):
          BE | 0 | 1
          FO | 0 | 1
     """
-    dtype = np.asarray(fill_value).dtype
+    if dtype is None:
+        dtype = np.asarray(fill_value).dtype
     res = empty(axes, dtype, order)
     res[:] = fill_value
     return res
@@ -7962,7 +7962,6 @@ def full_like(array, fill_value, dtype=None, order='K'):
     """
     # cannot use full() because order == 'K' is not understood
     # cannot use np.full_like() because it would not handle LArray fill_value
-    dtype = np.asarray(fill_value).dtype
     res = empty_like(array, dtype, order)
     res[:] = fill_value
     return res

From 49414b1d4be4656230f33d2a68383fe25e3441d4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 250/899] add TODO/FIXME and an assert

---
 larray/core.py | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 55e602017..136ed6fb2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5098,7 +5098,6 @@ def reshape(self, target_axes):
             New axes. The size of the array (= number of stored data)
             must be equal to the product of length of target axes.
 
-
         Returns
         -------
         LArray
@@ -5505,6 +5504,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                     group = PGroup([group.key], axis=group.axis)
                 elif isinstance(group, LGroup):
                     key = _to_key(group.key)
+                    assert not isinstance(key, Group)
                     if np.isscalar(key):
                         key = [key]
                     # we do not care about the name at this point
@@ -5714,10 +5714,16 @@ def with_total(self, *args, **kwargs):
         return res
 
     # TODO: make sure we can do
-    # arr[x.sex.i[arr.posargmin(x.sex)]]
+    # arr[x.sex.i[arr.posargmin(x.sex)]] <- fails
     # and
-    # arr[arr.argmin(x.sex)]
+    # arr[arr.argmin(x.sex)] <- fails
     # should both be equal to arr.min(x.sex)
+    # the versions where axis is None already work as expected in the simple
+    # case (no ambiguous labels):
+    # arr.i[arr.posargmin()]
+    # arr[arr.argmin()]
+    # for the case where axis is None, we should return an NDGroup
+    # so that arr[arr.argmin()] works even if the minimum is on ambiguous labels
     def argmin(self, axis=None):
         """Returns labels of the minimum values along a given axis.
 
@@ -7486,6 +7492,7 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
     # would be much uglier and would not lower the peak memory usage which
     # happens during cartesian_product_df.reindex
 
+    # FIXME: this should only happen when reading "text"-like files, not binary files, like HDF.
     # pandas treats the "time" labels as column names (strings) so we need
     # to convert them to values
     axes_labels.append([parse(cell) for cell in df.columns.values])
@@ -8279,6 +8286,7 @@ def ndtest(shape, start=0, dtype=int, label_start=0):
      a2 |  3 |  4 |  5
     """
     a = ndrange(shape, start=start, dtype=dtype)
+    # TODO: move this to a class method on AxisCollection
     assert a.ndim <= 26
     axes_names = [chr(ord('a') + i) for i in range(a.ndim)]
     label_ranges = [range(label_start, label_start + length)

From 1e12f1c75097bc93e3e51aafc61ea5d691cdeb7c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 20 Dec 2016 16:28:06 +0100
Subject: [PATCH 251/899] bump version to 0.18

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 325d322af..768d175dc 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.17
+  version: 0.18
 
 source:
-  git_tag: 0.17
+  git_tag: 0.18
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 7b69c5ddd..f16bf0711 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.17'
+version = '0.18'
 # The full version, including alpha/beta/rc tags.
-release = '0.17'
+release = '0.18'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 136ed6fb2..3b5bd9734 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.17"
+__version__ = "0.18"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'PGroup',
diff --git a/setup.py b/setup.py
index c85b0e564..3cff88874 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.17'
+VERSION = '0.18'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 6fea18a5bc2c399ad52811377b0b4c00f3a6647e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 3 Jan 2017 11:09:32 +0100
Subject: [PATCH 252/899] Fix #11 : Add extend method to Axis class

---
 larray/core.py | 36 ++++++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 3b5bd9734..ec7e5e690 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -936,6 +936,42 @@ def labels(self, labels):
         self._labels = labels
         self._iswildcard = iswildcard
 
+    def extend(self, labels):
+        """
+        Append new labels to an axis.
+        Note that extend does not occur in-place: a new Axis
+        is allocated, filled and returned.
+
+        Parameters
+        ----------
+        labels : iterable or Axis
+            New labels (as list or another axis) to append to
+            a copy of the axis.
+
+        Returns
+        -------
+        Axis
+            A copy of the axis with new labels appended to it.
+
+        Examples
+        --------
+        >>> time = Axis('time', [2007, 2008])
+        >>> time
+        Axis('time', [2007, 2008])
+        >>> previous_years = Axis('time', [2005, 2006])
+        >>> time = previous_years.extend(time)
+        >>> time
+        Axis('time', [2005, 2006, 2007, 2008])
+        >>> time = time.extend([2009, 2010])
+        >>> time
+        Axis('time', [2005, 2006, 2007, 2008, 2009, 2010])
+        """
+        if isinstance(labels, Axis):
+            other_axis = labels
+        else:
+            other_axis = Axis(self.name, labels)
+        return Axis(self.name, np.append(self.labels, other_axis.labels))
+    
     @property
     def iswildcard(self):
         return self._iswildcard

From e86aa175a7c193ac3bb6f91f30b1c25f00320e25 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 3 Jan 2017 12:16:27 +0100
Subject: [PATCH 253/899] Fix #7 : Add title in info method of LArray class.

---
 larray/core.py | 20 +++++++++++++++-----
 1 file changed, 15 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index ec7e5e690..e7a5bd7b2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -971,7 +971,7 @@ def extend(self, labels):
         else:
             other_axis = Axis(self.name, labels)
         return Axis(self.name, np.append(self.labels, other_axis.labels))
-    
+
     @property
     def iswildcard(self):
         return self._iswildcard
@@ -4094,6 +4094,7 @@ def __init__(self,
                 raise ValueError("length of axes %s does not match "
                                  "data shape %s" % (axes.shape, data.shape))
 
+        # Because __getattr__ and __setattr__ have been rewritten
         object.__setattr__(self, 'data', data)
         object.__setattr__(self, 'axes', axes)
         object.__setattr__(self, 'title', title)
@@ -6012,16 +6013,16 @@ def posargsort(self, axis=None, kind='quicksort'):
     def copy(self):
         """Returns a copy of the array.
         """
-        return LArray(self.data.copy(), axes=self.axes[:])
+        return LArray(self.data.copy(), axes=self.axes[:], title=self.title)
 
     @property
     def info(self):
-        """Describes a LArray (shape and labels for each axis).
+        """Describes a LArray (title + shape and labels for each axis).
 
         Returns
         -------
         str
-            Description of the array (shape and labels for each axis).
+            Description of the array (title + shape and labels for each axis).
 
         Examples
         --------
@@ -6029,11 +6030,20 @@ def info(self):
         >>> sex = Axis('sex', ['M', 'F'])
         >>> mat0 = ones([nat, sex])
         >>> mat0.info
+        2 x 2
+         nat [2]: 'BE' 'FO'
+         sex [2]: 'M' 'F'
+        >>> mat1 = LArray(np.ones((2, 2)), [nat, sex], 'test matrix')
+        >>> mat1.info
+        test matrix
         2 x 2
          nat [2]: 'BE' 'FO'
          sex [2]: 'M' 'F'
         """
-        return self.axes.info
+        if self.title:
+            return ReprString(self.title + '\n' + self.axes.info)
+        else:
+            return self.axes.info
 
     def ratio(self, *axes):
         """Returns an array with all values divided by the

From ea7b12aa0b6f515e0fe1aaeca781b07080861ed8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 3 Jan 2017 13:46:50 +0100
Subject: [PATCH 254/899] Handle wildcard axis in extend method of Axis class.

---
 larray/core.py | 48 +++++++++++++++++++++++++++++++-----------------
 1 file changed, 31 insertions(+), 17 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index e7a5bd7b2..9bbed24f9 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -938,39 +938,53 @@ def labels(self, labels):
 
     def extend(self, labels):
         """
-        Append new labels to an axis.
-        Note that extend does not occur in-place: a new Axis
-        is allocated, filled and returned.
+        Append new labels to an axis or increase its length
+        in case of wildcard axis.
+        Note that `extend` does not occur in-place: a new axis
+        object is allocated, filled and returned.
 
         Parameters
         ----------
-        labels : iterable or Axis
-            New labels (as list or another axis) to append to
-            a copy of the axis.
+        labels : int, iterable or Axis
+            * Number of new labels (only if wildcard axis).
+            * New labels to append to the axis.
+            * Axis to append. Must (not) be wildcard if self
+              is (not) wildcard.
 
         Returns
         -------
         Axis
-            A copy of the axis with new labels appended to it.
+            A copy of the axis with new labels appended to it or
+            with increased length (if wildcard).
 
         Examples
         --------
         >>> time = Axis('time', [2007, 2008])
         >>> time
         Axis('time', [2007, 2008])
-        >>> previous_years = Axis('time', [2005, 2006])
-        >>> time = previous_years.extend(time)
-        >>> time
-        Axis('time', [2005, 2006, 2007, 2008])
-        >>> time = time.extend([2009, 2010])
-        >>> time
-        Axis('time', [2005, 2006, 2007, 2008, 2009, 2010])
+        >>> time.extend([2009, 2010])
+        Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis('age', 10)
+        >>> age
+        Axis('age', 10)
+        >>> age.extend(5)
+        Axis('age', 15)
+        >>> age.extend([11, 12, 13, 14])
+        Traceback (most recent call last):
+        ...
+        NotImplementedError: Axis to append must (not) be wildcard if self is (not) wildcard
         """
         if isinstance(labels, Axis):
-            other_axis = labels
+            other = labels
+        else:
+            other = Axis(self.name, labels)
+        if self.iswildcard != other.iswildcard:
+            raise NotImplementedError("Axis to append must (not) be wildcard if " +
+                                      "self is (not) wildcard")
+        if self.iswildcard:
+            return Axis(self.name, self._length + other._length)
         else:
-            other_axis = Axis(self.name, labels)
-        return Axis(self.name, np.append(self.labels, other_axis.labels))
+            return Axis(self.name, np.append(self.labels, other.labels))
 
     @property
     def iswildcard(self):

From 65a1a0fc24753d1261294091dc6fafc0a3e43363 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 3 Jan 2017 15:39:06 +0100
Subject: [PATCH 255/899] Update extend method in Axis class

---
 larray/core.py | 36 +++++++++++++++---------------------
 1 file changed, 15 insertions(+), 21 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9bbed24f9..6b8dfba36 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -946,10 +946,9 @@ def extend(self, labels):
         Parameters
         ----------
         labels : int, iterable or Axis
-            * Number of new labels (only if wildcard axis).
-            * New labels to append to the axis.
-            * Axis to append. Must (not) be wildcard if self
-              is (not) wildcard.
+            New labels to append to the axis.
+            Passing directly another Axis is also possible.
+            If the current axis is a wildcard axis, passing a length is enough.
 
         Returns
         -------
@@ -964,27 +963,22 @@ def extend(self, labels):
         Axis('time', [2007, 2008])
         >>> time.extend([2009, 2010])
         Axis('time', [2007, 2008, 2009, 2010])
-        >>> age = Axis('age', 10)
-        >>> age
-        Axis('age', 10)
-        >>> age.extend(5)
-        Axis('age', 15)
-        >>> age.extend([11, 12, 13, 14])
+        >>> waxis = Axis('wildcard_axis', 10)
+        >>> waxis
+        Axis('wildcard_axis', 10)
+        >>> waxis.extend(5)
+        Axis('wildcard_axis', 15)
+        >>> waxis.extend([11, 12, 13, 14])
         Traceback (most recent call last):
         ...
-        NotImplementedError: Axis to append must (not) be wildcard if self is (not) wildcard
+        ValueError: Axis to append must (not) be wildcard if self is (not) wildcard
         """
-        if isinstance(labels, Axis):
-            other = labels
-        else:
-            other = Axis(self.name, labels)
+        other = labels if isinstance(labels, Axis) else Axis(None, labels)
         if self.iswildcard != other.iswildcard:
-            raise NotImplementedError("Axis to append must (not) be wildcard if " +
-                                      "self is (not) wildcard")
-        if self.iswildcard:
-            return Axis(self.name, self._length + other._length)
-        else:
-            return Axis(self.name, np.append(self.labels, other.labels))
+            raise ValueError ("Axis to append must (not) be wildcard if " +
+                              "self is (not) wildcard")
+        labels = self._length + other._length if self.iswildcard else np.append(self.labels, other.labels)
+        return Axis(self.name, labels)
 
     @property
     def iswildcard(self):

From fe72b372d63800c30f9ecb97d8ca4bf062d548c1 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 4 Jan 2017 13:00:02 +0100
Subject: [PATCH 256/899] Add title in argument list of all array creation
 functions (#20)

Add title in argument list of all array creation functions
---
 larray/core.py | 70 ++++++++++++++++++++++++++++++++------------------
 1 file changed, 45 insertions(+), 25 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6b8dfba36..9bed0f22a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7754,13 +7754,15 @@ def read_sas(filepath, nb_index=0, index_col=[],
                        fill_value=na)
 
 
-def zeros(axes, dtype=float, order='C'):
+def zeros(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and filled with zeros.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Desired data-type for the array, e.g., `numpy.int8`.
         Default is `numpy.float64`.
@@ -7791,7 +7793,7 @@ def zeros(axes, dtype=float, order='C'):
          FO | 0.0 | 0.0
     """
     axes = AxisCollection(axes)
-    return LArray(np.zeros(axes.shape, dtype, order), axes)
+    return LArray(np.zeros(axes.shape, dtype, order), axes, title)
 
 
 def zeros_like(array, dtype=None, order='K'):
@@ -7821,16 +7823,18 @@ def zeros_like(array, dtype=None, order='K'):
             0 | 0 | 0 | 0
             1 | 0 | 0 | 0
     """
-    return LArray(np.zeros_like(array, dtype, order), array.axes)
+    return LArray(np.zeros_like(array, dtype, order), array.axes, array.title)
 
 
-def ones(axes, dtype=float, order='C'):
+def ones(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and filled with ones.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Desired data-type for the array, e.g., `numpy.int8`.  Default is
         `numpy.float64`.
@@ -7852,7 +7856,7 @@ def ones(axes, dtype=float, order='C'):
          FO | 1.0 | 1.0
     """
     axes = AxisCollection(axes)
-    return LArray(np.ones(axes.shape, dtype, order), axes)
+    return LArray(np.ones(axes.shape, dtype, order), axes, title)
 
 
 def ones_like(array, dtype=None, order='K'):
@@ -7883,16 +7887,18 @@ def ones_like(array, dtype=None, order='K'):
             1 | 1 | 1 | 1
     """
     axes = array.axes
-    return LArray(np.ones_like(array, dtype, order), axes)
+    return LArray(np.ones_like(array, dtype, order), axes, array.title)
 
 
-def empty(axes, dtype=float, order='C'):
+def empty(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and uninitialized (arbitrary) data.
 
     Parameters
     ----------
     axes : int, tuple of int or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Desired data-type for the array, e.g., `numpy.int8`.  Default is
         `numpy.float64`.
@@ -7914,7 +7920,7 @@ def empty(axes, dtype=float, order='C'):
          FO |                0.0 | 6.07684618082e-31
     """
     axes = AxisCollection(axes)
-    return LArray(np.empty(axes.shape, dtype, order), axes)
+    return LArray(np.empty(axes.shape, dtype, order), axes, title)
 
 
 def empty_like(array, dtype=None, order='K'):
@@ -7946,10 +7952,10 @@ def empty_like(array, dtype=None, order='K'):
       2 | 1.90979621226e-313 | 2.33419537056e-313
     """
     # cannot use empty() because order == 'K' is not understood
-    return LArray(np.empty_like(array.data, dtype, order), array.axes)
+    return LArray(np.empty_like(array.data, dtype, order), array.axes, array.title)
 
 
-def full(axes, fill_value, dtype=None, order='C'):
+def full(axes, fill_value, title='', dtype=None, order='C'):
     """Returns an array with the specified axes and filled with fill_value.
 
     Parameters
@@ -7958,6 +7964,8 @@ def full(axes, fill_value, dtype=None, order='C'):
         Collection of axes or a shape.
     fill_value : scalar or LArray
         Value to fill the array
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Desired data-type for the array. Default is the data type of fill_value.
     order : {'C', 'F'}, optional
@@ -7987,7 +7995,7 @@ def full(axes, fill_value, dtype=None, order='C'):
     """
     if dtype is None:
         dtype = np.asarray(fill_value).dtype
-    res = empty(axes, dtype, order)
+    res = empty(axes, title, dtype, order)
     res[:] = fill_value
     return res
 
@@ -8032,7 +8040,7 @@ def full_like(array, fill_value, dtype=None, order='K'):
 #      ndrange (or rename this one to ndrange)? ndrange is only ever used to
 #      create test data (except for 1d)
 # see https://github.com/pydata/pandas/issues/4567
-def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
+def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     """
     Creates an array by sequentially applying modifications to the array along
     axis.
@@ -8059,6 +8067,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None):
     axes : int, tuple of int or tuple/list/AxisCollection of Axis, optional
         Axes of the result. Defaults to the union of axes present in other
         arguments.
+    title : str, optional
+        Title.
 
     Examples
     --------
@@ -8139,7 +8149,7 @@ def strip_axes(col):
         axes = AxisCollection(axes)
     axis = axes[axis]
     res_dtype = np.dtype(common_type((initial, inc, mult)))
-    res = empty(axes, dtype=res_dtype)
+    res = empty(axes, title=title, dtype=res_dtype)
     res[axis.i[0]] = initial
     def has_axis(a, axis):
         return isinstance(a, LArray) and axis in a.axes
@@ -8192,7 +8202,7 @@ def index_if_exists(a, axis, i):
         #    wait until someone requests it.
         def array_or_full(a, axis, initial):
             dt = common_type((a, initial))
-            r = empty((get_axes(a) - axis) | axis, dtype=dt)
+            r = empty((get_axes(a) - axis) | axis, title=title, dtype=dt)
             r[axis.i[0]] = initial
             if isinstance(a, LArray) and axis in a.axes:
                 # not using axis.i[1:] because a could have less ticks
@@ -8232,7 +8242,7 @@ def array_or_full(a, axis, initial):
     return res
 
 
-def ndrange(axes, start=0, dtype=int):
+def ndrange(axes, start=0, title='', dtype=int):
     """Returns an array with the specified axes and filled with increasing int.
 
     Parameters
@@ -8247,6 +8257,8 @@ def ndrange(axes, start=0, dtype=int):
                set the name of the axis. eg. "a,b,c" or "sex=F,M"
         * (name, labels) pair: name and labels of axis
     start : number, optional
+    title : str, optional
+        Title.
     dtype : dtype, optional
         The type of the output array.  Defaults to int.
 
@@ -8298,10 +8310,10 @@ def ndrange(axes, start=0, dtype=int):
     #  > 1, I cannot think of anything nice.
     axes = AxisCollection(axes)
     data = np.arange(start, start + axes.size, dtype=dtype)
-    return LArray(data.reshape(axes.shape), axes)
+    return LArray(data.reshape(axes.shape), axes, title)
 
 
-def ndtest(shape, start=0, dtype=int, label_start=0):
+def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     """Returns test array with given shape.
 
     Axes are named by single letters starting from 'a'. Axes labels are
@@ -8318,6 +8330,8 @@ def ndtest(shape, start=0, dtype=int, label_start=0):
     label_start : int, optional
         Label position for each axis is `label_start + position`.
         `label_start` defaults to 0.
+    title : str, optional
+        Title.
     dtype : type or np.dtype, optional
         Type of resulting array.
 
@@ -8339,7 +8353,7 @@ def ndtest(shape, start=0, dtype=int, label_start=0):
      a1 |  0 |  1 |  2
      a2 |  3 |  4 |  5
     """
-    a = ndrange(shape, start=start, dtype=dtype)
+    a = ndrange(shape, start=start, dtype=dtype, title=title)
     # TODO: move this to a class method on AxisCollection
     assert a.ndim <= 26
     axes_names = [chr(ord('a') + i) for i in range(a.ndim)]
@@ -8446,13 +8460,15 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
         return a.points[indexer]
 
 
-def labels_array(axes):
+def labels_array(axes, title=''):
     """Returns an array with specified axes and the combination of
-    corresponding labels as value.
+    corresponding labels as values.
 
     Parameters
     ----------
     axes : Axis or collection of Axis
+    title : str, optional
+        Title.
 
     Returns
     -------
@@ -8489,7 +8505,7 @@ def labels_array(axes):
     else:
         res_axes = axes
         res_data = axes[0].labels
-    return LArray(res_data, res_axes)
+    return LArray(res_data, res_axes, title)
 
 
 def identity(axis):
@@ -8500,7 +8516,7 @@ def identity(axis):
                               "labels_array(axis) instead.")
 
 
-def eye(rows, columns=None, k=0, dtype=None):
+def eye(rows, columns=None, k=0, title='', dtype=None):
     """Returns a 2-D array with ones on the diagonal and zeros elsewhere.
 
     Parameters
@@ -8513,6 +8529,8 @@ def eye(rows, columns=None, k=0, dtype=None):
         Index of the diagonal: 0 (the default) refers to the main diagonal, a
         positive value refers to an upper diagonal, and a negative value to a
         lower diagonal.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Data-type of the returned array. Defaults to float.
 
@@ -8544,7 +8562,7 @@ def eye(rows, columns=None, k=0, dtype=None):
     axes = AxisCollection([rows, columns])
     shape = axes.shape
     data = np.eye(shape[0], shape[1], k, dtype)
-    return LArray(data, axes)
+    return LArray(data, axes, title)
 
 
 # XXX: we could change the syntax to use *args
@@ -8555,7 +8573,7 @@ def eye(rows, columns=None, k=0, dtype=None):
 # stack(a1, a2, axis=Axis('sex', 'H,F'))
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
-def stack(arrays, axis=None):
+def stack(arrays, axis=None, title=''):
     """
     Combines several arrays along an axis.
 
@@ -8565,6 +8583,8 @@ def stack(arrays, axis=None):
         Arrays to stack. values can be scalars, arrays or (label, value) pairs.
     axis : str or Axis, optional
         Axis to create. If None, defaults to a range() axis.
+    title : str, optional
+        Title.
 
     Returns
     -------
@@ -8649,7 +8669,7 @@ def stack(arrays, axis=None):
                 assert len(axis) == len(arrays)
     result_axes = AxisCollection.union(*[get_axes(v) for v in values])
     result_axes.append(axis)
-    result = empty(result_axes, common_type(values))
+    result = empty(result_axes, title=title, dtype=common_type(values))
     for k, v in zip(axis, values):
         result[k] = v
     return result

From 1f8186cbbe93872f12fc9a57cbc20246a47a35ec Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 4 Jan 2017 14:08:43 +0100
Subject: [PATCH 257/899] Add title to array creation func (#27)

Add title in argument list of all array creation functions
---
 larray/core.py | 32 ++++++++++++++++++++++++--------
 1 file changed, 24 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9bed0f22a..b3ab7bcf8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7796,13 +7796,15 @@ def zeros(axes, title='', dtype=float, order='C'):
     return LArray(np.zeros(axes.shape, dtype, order), axes, title)
 
 
-def zeros_like(array, dtype=None, order='K'):
+def zeros_like(array, title='', dtype=None, order='K'):
     """Returns an array with the same axes as array and filled with zeros.
 
     Parameters
     ----------
     array : LArray
          Input array.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7823,7 +7825,9 @@ def zeros_like(array, dtype=None, order='K'):
             0 | 0 | 0 | 0
             1 | 0 | 0 | 0
     """
-    return LArray(np.zeros_like(array, dtype, order), array.axes, array.title)
+    if not title:
+        title = array.title
+    return LArray(np.zeros_like(array, dtype, order), array.axes, title)
 
 
 def ones(axes, title='', dtype=float, order='C'):
@@ -7859,13 +7863,15 @@ def ones(axes, title='', dtype=float, order='C'):
     return LArray(np.ones(axes.shape, dtype, order), axes, title)
 
 
-def ones_like(array, dtype=None, order='K'):
+def ones_like(array, title='', dtype=None, order='K'):
     """Returns an array with the same axes as array and filled with ones.
 
     Parameters
     ----------
     array : LArray
         Input array.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7887,7 +7893,9 @@ def ones_like(array, dtype=None, order='K'):
             1 | 1 | 1 | 1
     """
     axes = array.axes
-    return LArray(np.ones_like(array, dtype, order), axes, array.title)
+    if not title:
+        title = array.title
+    return LArray(np.ones_like(array, dtype, order), axes, title)
 
 
 def empty(axes, title='', dtype=float, order='C'):
@@ -7923,13 +7931,15 @@ def empty(axes, title='', dtype=float, order='C'):
     return LArray(np.empty(axes.shape, dtype, order), axes, title)
 
 
-def empty_like(array, dtype=None, order='K'):
+def empty_like(array, title='', dtype=None, order='K'):
     """Returns an array with the same axes as array and uninitialized (arbitrary) data.
 
     Parameters
     ----------
     array : LArray
         Input array.
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -7951,8 +7961,10 @@ def empty_like(array, dtype=None, order='K'):
       1 | 1.06099789568e-313 | 1.48539705397e-313
       2 | 1.90979621226e-313 | 2.33419537056e-313
     """
+    if not title:
+        title = array.title
     # cannot use empty() because order == 'K' is not understood
-    return LArray(np.empty_like(array.data, dtype, order), array.axes, array.title)
+    return LArray(np.empty_like(array.data, dtype, order), array.axes, title)
 
 
 def full(axes, fill_value, title='', dtype=None, order='C'):
@@ -8000,7 +8012,7 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
     return res
 
 
-def full_like(array, fill_value, dtype=None, order='K'):
+def full_like(array, fill_value, title='', dtype=None, order='K'):
     """Returns an array with the same axes and type as input array and filled with fill_value.
 
     Parameters
@@ -8009,6 +8021,8 @@ def full_like(array, fill_value, dtype=None, order='K'):
         Input array.
     fill_value : scalar or LArray
         Value to fill the array
+    title : str, optional
+        Title.
     dtype : data-type, optional
         Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
@@ -8029,9 +8043,11 @@ def full_like(array, fill_value, dtype=None, order='K'):
             0 | 5 | 5 | 5
             1 | 5 | 5 | 5
     """
+    if not title:
+        title = array.title
     # cannot use full() because order == 'K' is not understood
     # cannot use np.full_like() because it would not handle LArray fill_value
-    res = empty_like(array, dtype, order)
+    res = empty_like(array, title, dtype, order)
     res[:] = fill_value
     return res
 

From 1ca9de704341687be58faa10e84dd051ed961c20 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 10 Jan 2017 11:19:06 +0100
Subject: [PATCH 258/899] Generate xxx_by(axis) methods (#31)

Generate xxx_by(axis) method for all aggregate methods
---
 larray/core.py | 30 ++++++++++++++++++------------
 1 file changed, 18 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index b3ab7bcf8..c5f6f0e68 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -6237,21 +6237,24 @@ def method(self, *args, **kwargs):
             return self._aggregate(func, args, kwargs,
                                    keepaxes=keepaxes,
                                    commutative=commutative)
+        def method_by(self, *args, **kwargs):
+            return method(self, *(self.axes - args), **kwargs)
         if name is None:
             name = npfunc.__name__
         method.__name__ = name
-        return method
+        method_by.__name__ = name + "_by"
+        return method, method_by
 
-    all = _agg_method(np.all, commutative=True)
-    any = _agg_method(np.any, commutative=True)
+    all, all_by = _agg_method(np.all, commutative=True)
+    any, any_by = _agg_method(np.any, commutative=True)
     # commutative modulo float precision errors
-    sum = _agg_method(np.sum, np.nansum, commutative=True)
+    sum, sum_by = _agg_method(np.sum, np.nansum, commutative=True)
     # nanprod needs numpy 1.10
-    prod = _agg_method(np.prod, np_nanprod, commutative=True)
-    min = _agg_method(np.min, np.nanmin, commutative=True)
-    max = _agg_method(np.max, np.nanmax, commutative=True)
-    mean = _agg_method(np.mean, np.nanmean, commutative=True)
-    median = _agg_method(np.median, np.nanmedian, commutative=True)
+    prod, prod_by = _agg_method(np.prod, np_nanprod, commutative=True)
+    min, min_by = _agg_method(np.min, np.nanmin, commutative=True)
+    max, max_by = _agg_method(np.max, np.nanmax, commutative=True)
+    mean, mean_by = _agg_method(np.mean, np.nanmean, commutative=True)
+    median, median_by = _agg_method(np.median, np.nanmedian, commutative=True)
 
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
@@ -6264,10 +6267,13 @@ def percentile(self, q, *args, **kwargs):
         return self._aggregate(func, args, kwargs, keepaxes=keepaxes,
                                commutative=True, extra_kwargs={'q': q})
 
+    def percentile_by(self, q, *args, **kwargs):
+        return self.percentile(q, *(self.axes - args), **kwargs)
+
     # not commutative
-    ptp = _agg_method(np.ptp)
-    var = _agg_method(np.var, np.nanvar)
-    std = _agg_method(np.std, np.nanstd)
+    ptp, ptp_by = _agg_method(np.ptp)
+    var, var_by = _agg_method(np.var, np.nanvar)
+    std, std_by = _agg_method(np.std, np.nanstd)
 
     # cumulative aggregates
     def cumsum(self, axis=-1):

From a5a92c09d7be18c5ed834c313f8cc717cbbe4e72 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 10:45:23 +0100
Subject: [PATCH 259/899] fix docstring

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index c5f6f0e68..07085fc15 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -329,7 +329,7 @@ def generalized_range(start, stop, step=1):
 
 def _range_str_to_range(s):
     """
-    Converts a slice string to a range (of values).
+    Converts a range string to a range (of values).
     The end point is included.
 
     Parameters

From a07d5986d20b2b2f930b8541c76ab9b144d837b3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 10:48:12 +0100
Subject: [PATCH 260/899] avoid a warning from numpy when dividing by 0 within
 divnot0 !

---
 larray/core.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 07085fc15..887df9419 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -6439,7 +6439,9 @@ def divnot0(self, other):
             else:
                 return self / other
         else:
+            old_settings = np.seterr(divide='ignore', invalid='ignore')
             res = self / other
+            np.seterr(**old_settings)
             res[other == 0] = 0
             return res
 

From 4403d859f19c63b0b520dfc6bd062c2a9dd87a67 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 11:10:04 +0100
Subject: [PATCH 261/899] made Axis.startswith, .endswith and .matches accept
 Group instances

---
 larray/core.py | 33 ++++++++++++++++++---------------
 1 file changed, 18 insertions(+), 15 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 887df9419..511c3c268 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1183,18 +1183,17 @@ def equals(self, other):
 
     def matches(self, pattern):
         """
-        Returns a group with all the labels matching the specified pattern
-        (regular expression).
+        Returns a group with all the labels matching the specified pattern (regular expression).
 
         Parameters
         ----------
-        pattern : str
+        pattern : str or Group
             Regular expression (regex).
 
         Returns
         -------
         LGroup
-            Group containing all label(s) matching the pattern.
+            Group containing all the labels matching the pattern.
 
         Notes
         -----
@@ -1217,22 +1216,24 @@ def matches(self, pattern):
         LGroup(['Bruce Willis', 'Arthur Dent'],
                axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
+        if isinstance(pattern, Group):
+            pattern = pattern.eval()
         rx = re.compile(pattern)
         return LGroup([v for v in self.labels if rx.match(v)], axis=self)
 
     def startswith(self, prefix):
         """
-        Returns a group with the labels starting with the specified string
+        Returns a group with the labels starting with the specified string.
 
         Parameters
         ----------
-        pattern : str
-            Pattern describing the first part of labels you want to get.
+        prefix : str or Group
+            The prefix to search for.
 
         Returns
         -------
         LGroup
-            Group containing all label(s) starting with the given pattern.
+            Group containing all the labels starting with the given string.
 
         Examples
         --------
@@ -1241,8 +1242,9 @@ def startswith(self, prefix):
         LGroup(['Bruce Wayne', 'Bruce Willis'],
                axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
-        return LGroup([v for v in self.labels if v.startswith(prefix)],
-                      axis=self)
+        if isinstance(prefix, Group):
+            prefix = prefix.eval()
+        return LGroup([v for v in self.labels if v.startswith(prefix)], axis=self)
 
     def endswith(self, suffix):
         """
@@ -1250,13 +1252,13 @@ def endswith(self, suffix):
 
         Parameters
         ----------
-        pattern : str
-            Pattern describing the last part of labels you want to get.
+        suffix : str or Group
+            The suffix to search for.
 
         Returns
         -------
         LGroup
-            Group containing all label(s) ending with the given pattern.
+            Group containing all the labels ending with the given string.
 
         Examples
         --------
@@ -1265,8 +1267,9 @@ def endswith(self, suffix):
         LGroup(['Arthur Dent', 'Harvey Dent'],
                axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
         """
-        return LGroup([v for v in self.labels if v.endswith(suffix)],
-                      axis=self)
+        if isinstance(suffix, Group):
+            suffix = suffix.eval()
+        return LGroup([v for v in self.labels if v.endswith(suffix)], axis=self)
 
     def __len__(self):
         return self._length

From f0bf7bbb8316738daf13f2f3873d3889bba075c3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 11:13:27 +0100
Subject: [PATCH 262/899] CLN: rewrap code/comments

---
 larray/viewer.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 5a901d9c7..e7b661c9e 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1447,8 +1447,7 @@ def accept_changes(self):
             la_data.i[la_data.axes.translate_full_key(k)] = v
         # update model data & reset global_changes
         self.set_data(self.la_data, current_filter=self.current_filter)
-        # XXX: shouldn't this be done only in the dialog? (if we continue
-        # editing...)
+        # XXX: shouldn't this be done only in the dialog? (if we continue editing...)
         if self.old_data_shape is not None:
             self.data.shape = self.old_data_shape
 
@@ -1459,8 +1458,7 @@ def reject_changes(self):
         self.model.changes.clear()
         self.model.reset_minmax()
         self.model.reset()
-        # XXX: shouldn't this be done only in the dialog? (if we continue
-        # editing...)
+        # XXX: shouldn't this be done only in the dialog? (if we continue editing...)
         if self.old_data_shape is not None:
             self.data.shape = self.old_data_shape
 
@@ -1884,8 +1882,7 @@ def void_formatter(array, *args, **kwargs):
                 btn_layout = QHBoxLayout()
                 btn_layout.addStretch()
 
-                bbox = QDialogButtonBox(QDialogButtonBox.Apply
-                                        | QDialogButtonBox.Discard)
+                bbox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Discard)
 
                 apply_btn = bbox.button(QDialogButtonBox.Apply)
                 apply_btn.clicked.connect(self.apply_changes)
@@ -1899,8 +1896,7 @@ def void_formatter(array, *args, **kwargs):
                 arraywidget_layout.addWidget(self.arraywidget)
                 arraywidget_layout.addLayout(btn_layout)
 
-                # you cant add a layout directly in a splitter, so we have to
-                # wrap it in a widget
+                # you cant add a layout directly in a splitter, so we have to wrap it in a widget
                 arraywidget = QWidget()
                 arraywidget.setLayout(arraywidget_layout)
 

From d877e01a9c189d4ea984fd8feae87079f6f1dd16 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 11:14:17 +0100
Subject: [PATCH 263/899] added design thoughts about set operations on groups

---
 design.txt | 79 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 79 insertions(+)

diff --git a/design.txt b/design.txt
index 6ed6d9c4b..e894804ec 100644
--- a/design.txt
+++ b/design.txt
@@ -952,3 +952,82 @@ expend_flow['cat_from[married_women], cat_to[retirement_survival_women]', y] = \
   total_lines = (filter1 & filter2).nonzero()
 
 * does something like categorical (transforms label -> index) help?
+
+# ========================================================
+# ================ set operation on groups ===============
+# ========================================================
+
+we want + and - ops on groups to be both set operation
+or arithmetic operation depending on the case.
+
+
+for y in time[start_year + 1:]:
+    res = a[y + 1]
+
+for c in sutcode.matches('^...$') + sutcode.matches('^..$') - 'ND':
+    g = sutcode.startswith(c) - c
+
+# option 1
+# ========
+
+op on evaluated key by default (whatever it is -- scalar or ndarray)
+set ops must use specific methods
+
+for y in time[start_year + 1:]:
+    res = a[y + 1]
+
+for c in sutcode.matches('^...$').union(sutcode.matches('^..$')).setdiff('ND'):
+    g = sutcode.startswith(c).setdiff(c)
+for c in sutcode.matches('^...$').union(sutcode.matches('^..$')).difference('ND'):
+    g = sutcode.startswith(c).difference(c)
+
+# option 2
+# ========
+
+op on evaluated key by default (whatever it is -- scalar or ndarray)
+convert LGroup to LSet using method a specific method
+
+for y in time[start_year + 1:]:
+    res = a[y + 1]
+
+# the second .set() is optional
+for c in sutcode.matches('^...$').set() | sutcode.matches('^..$').set() - 'ND':
+    g = sutcode.startswith(c).set() - c
+
+# option 3 (current)
+# ==================
+
+set op on evaluated key by default
+need to use .labels on the axis or .eval() on the group to do arithmetic ops
+note that it might be a good idea to implement a .labels property on groups
+
+for y in time.labels:
+for y in time[start_year + 1:].eval():
+    res = a[y + 1]
+
+for c in sutcode.matches('^...$') | sutcode.matches('^..$') - 'ND':
+    g = sutcode.startswith(c) - c
+
+# option 4
+# ========
+
+set op if sequence, arithmetic if scalar. This looks good in our example and is usually what people want
+but this is not the path of least surprise !
+
+for y in time[start_year + 1:]:
+    res = a[y + 1]
+
+for c in sutcode.matches('^...$') | sutcode.matches('^..$') - 'ND':
+    g = sutcode.startswith(c) - c
+
+
+# an example of unexpected result would be:
+age[1:] + 1
+
+
+for y in time[start_year + 1:]:
+    res = a[y + 1]
+
+for c in sutcode.matches('^...$') | sutcode.matches('^..$') - 'ND':
+    g = sutcode.startswith(c) - c
+

From a5968fcd60adde8bb4aeb8f2034c0768f901e015 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:09:10 +0100
Subject: [PATCH 264/899] moved LGroup set operation to LSet (a specific
 subclass)

---
 larray/core.py          |  90 +++++++++++++++++-------------
 larray/tests/test_la.py | 120 ++++++++++++++++++++++------------------
 2 files changed, 116 insertions(+), 94 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 511c3c268..cf6b7283e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4,7 +4,7 @@
 __version__ = "0.18"
 
 __all__ = [
-    'LArray', 'Axis', 'AxisCollection', 'LGroup', 'PGroup',
+    'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
     'union', 'stack',
     'read_csv', 'read_eurostat', 'read_excel', 'read_hdf', 'read_tsv',
     'read_sas',
@@ -562,8 +562,6 @@ def _to_key(v, stack_depth=1):
         return list(v)
     elif isinstance(v, Group):
         return v.__class__(_to_key(v.key, stack_depth + 1), v.name, v.axis)
-    elif v is Ellipsis or isinstance(v, (int, list, slice, np.ndarray, LArray)):
-        return v
     elif isinstance(v, basestring):
         # axis name
         m = _axis_name_pattern.match(v)
@@ -603,6 +601,8 @@ def _to_key(v, stack_depth=1):
                             for b in v.split(',')]
                 else:
                     return _parse_bound(v, stack_depth + 1)
+    elif v is Ellipsis or np.isscalar(v) or isinstance(v, (slice, list, np.ndarray, LArray, OrderedSet)):
+        return v
     else:
         raise TypeError("%s has an invalid type (%s) for a key"
                         % (v, type(v).__name__))
@@ -1373,7 +1373,7 @@ def translate(self, key, bool_passthrough=True):
         elif isinstance(key, np.ndarray) and key.dtype.kind is 'b' and \
                 bool_passthrough:
             return key
-        elif isinstance(key, (tuple, list)):
+        elif isinstance(key, (tuple, list, OrderedSet)):
             # TODO: the result should be cached
             # Note that this is faster than array_lookup(np.array(key), mapping)
             res = np.empty(len(key), int)
@@ -1869,11 +1869,49 @@ def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         Group.__init__(self, key, name, axis)
 
-    def _to_oset(self):
-        lkey = self.eval()
-        if np.isscalar(lkey):
-            lkey = [lkey]
-        return OrderedSet(lkey)
+    def set(self):
+        return LSet(self.eval(), self.name, self.axis)
+
+    #XXX: return PGroup instead?
+    def translate(self, bound=None, stop=False):
+        """
+        compute position(s) of group
+        """
+        if bound is None:
+            bound = self.key
+        if isinstance(self.axis, Axis):
+            pos = self.axis.translate(bound)
+            return pos + int(stop) if np.isscalar(pos) else pos
+        else:
+            raise ValueError("Cannot translate an LGroup without axis")
+
+    def eval(self):
+        if isinstance(self.key, slice):
+            if isinstance(self.axis, Axis):
+                # expand slices
+                return self.axis.labels[self.translate()]
+            else:
+                return self.key
+                # raise ValueError("Cannot evaluate a slice group without axis")
+        else:
+            # we do not check the group labels are actually valid on Axis
+            return self.key
+
+
+class LSet(LGroup):
+    def __init__(self, key, name=None, axis=None):
+        key = _to_key(key)
+        if isinstance(key, LGroup):
+            if name is None:
+                name = key.name
+            if axis is None:
+                axis = key.axis
+            if not isinstance(key, LSet):
+                key = key.eval()
+        if np.isscalar(key):
+            key = [key]
+        key = OrderedSet(key)
+        LGroup.__init__(self, key, name, axis)
 
     # method factory
     def _binop(opname, c):
@@ -1881,8 +1919,8 @@ def _binop(opname, c):
 
         # TODO: implement this in a delayed fashion for reference axes
         def opmethod(self, other):
-            if not isinstance(other, LGroup):
-                other = LGroup(other)
+            if not isinstance(other, LSet):
+                other = LSet(other)
             axis = self.axis if self.axis is not None else other.axis
 
             # setting a meaningful name is hard when either one has no name
@@ -1892,14 +1930,13 @@ def opmethod(self, other):
                 name = None
             # TODO: implement this in a more efficient way for ndarray keys
             #       which can be large
-            result_set = getattr(self._to_oset(), op_fullname)(other._to_oset())
-            return LGroup(list(result_set), name=name, axis=axis)
+            result_set = getattr(self.key, op_fullname)(other.key)
+            return LSet(result_set, name=name, axis=axis)
         opmethod.__name__ = op_fullname
         return opmethod
 
     union = _binop('or', '|')
     __or__ = union
-    __add__ = union
 
     intersection = _binop('and', '&')
     __and__ = intersection
@@ -1907,31 +1944,6 @@ def opmethod(self, other):
     difference = _binop('sub', '-')
     __sub__ = difference
 
-    #XXX: return PGroup instead?
-    def translate(self, bound=None, stop=False):
-        """
-        compute position(s) of group
-        """
-        if bound is None:
-            bound = self.key
-        if isinstance(self.axis, Axis):
-            pos = self.axis.translate(bound)
-            return pos + int(stop) if np.isscalar(pos) else pos
-        else:
-            raise ValueError("Cannot translate an LGroup without axis")
-
-    def eval(self):
-        if isinstance(self.key, slice):
-            if isinstance(self.axis, Axis):
-                # expand slices
-                return self.axis.labels[self.translate()]
-            else:
-                return self.key
-                # raise ValueError("Cannot evaluate a slice group without axis")
-        else:
-            # we do not check the group labels are actually valid on Axis
-            return self.key
-
 
 class PGroup(Group):
     """Positional Group.
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index c8dc856e4..98afadff5 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -8,7 +8,7 @@
 import numpy as np
 import pandas as pd
 
-from larray import (LArray, Axis, AxisCollection, LGroup, PGroup, union,
+from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
                     read_csv, zeros, zeros_like, ndrange, ndtest,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
 from larray.core import _to_ticks, _to_key, df_aslarray
@@ -375,60 +375,6 @@ def test_eq(self):
         self.assertEqual(self.list, ['P01', 'P03', 'P07'])
         self.assertEqual(self.list, ('P01', 'P03', 'P07'))
 
-    def test_or(self):
-        # without axis
-        self.assertEqual(LGroup(['a', 'b']) | LGroup(['c', 'd']),
-                         LGroup(['a', 'b', 'c', 'd']))
-        self.assertEqual(LGroup(['a', 'b', 'c']) | LGroup(['c', 'd']),
-                         LGroup(['a', 'b', 'c', 'd']))
-        # with axis
-        alpha = Axis('alpha', 'a,b,c,d')
-        res = alpha['a', 'b'] | alpha['c', 'd']
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res, alpha['a', 'b', 'c', 'd'])
-        self.assertEqual(alpha['a', 'b', 'c'] | alpha['c', 'd'],
-                         alpha['a', 'b', 'c', 'd'])
-
-        # with axis & name
-        alpha = Axis('alpha', 'a,b,c,d')
-        res = alpha['a', 'b'].named('ab') | alpha['c', 'd'].named('cd')
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res.name, 'ab | cd')
-        self.assertEqual(res, alpha['a', 'b', 'c', 'd'])
-        self.assertEqual(alpha['a', 'b', 'c'] | alpha['c', 'd'],
-                         alpha['a', 'b', 'c', 'd'])
-
-        # numeric axis
-        num = Axis('num', range(10))
-        # single int
-        self.assertEqual(num[1, 5, 3] | 4, num[1, 5, 3, 4])
-        self.assertEqual(num[1, 5, 3] | num[4], num[1, 5, 3, 4])
-        self.assertEqual(num[4] | num[1, 5, 3], num[4, 1, 5, 3])
-        # slices
-        self.assertEqual(num[:2] | num[8:], num[0, 1, 2, 8, 9])
-        self.assertEqual(num[:2] | num[5], num[0, 1, 2, 5])
-
-    def test_and(self):
-        # without axis
-        self.assertEqual(LGroup(['a', 'b', 'c']) & LGroup(['c', 'd']),
-                         LGroup(['c']))
-        # with axis & name
-        alpha = Axis('alpha', 'a,b,c,d')
-        res = alpha['a', 'b', 'c'].named('abc') & alpha['c', 'd'].named('cd')
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res.name, 'abc & cd')
-        self.assertEqual(res, alpha[['c']])
-
-    def test_sub(self):
-        self.assertEqual(LGroup(['a', 'b', 'c']) - LGroup(['c', 'd']),
-                         LGroup(['a', 'b']))
-        self.assertEqual(LGroup(['a', 'b', 'c']) - ['c', 'd'],
-                         LGroup(['a', 'b']))
-        self.assertEqual(LGroup(['a', 'b', 'c']) - 'b',
-                         LGroup(['a', 'c']))
-        self.assertEqual(LGroup([1, 2, 3]) - 4, LGroup([1, 2, 3]))
-        self.assertEqual(LGroup([1, 2, 3]) - 2, LGroup([1, 3]))
-
     def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
                          [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
@@ -496,6 +442,70 @@ def test_repr(self):
                          "LGroup(slice(None, None, None), axis=Axis(None, [0, 1, 2]))")
 
 
+class TestLSet(TestCase):
+    def test_or(self):
+        # without axis
+        self.assertEqual(LSet(['a', 'b']) | LSet(['c', 'd']),
+                         LSet(['a', 'b', 'c', 'd']))
+        self.assertEqual(LSet(['a', 'b', 'c']) | LSet(['c', 'd']),
+                         LSet(['a', 'b', 'c', 'd']))
+        # with axis (pure)
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b'].set() | alpha['c', 'd'].set()
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'].set(),
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # with axis (mixed)
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b'].set() | alpha['c', 'd']
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # with axis & name
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b'].set().named('ab') | alpha['c', 'd'].set().named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'ab | cd')
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # numeric axis
+        num = Axis('num', range(10))
+        # single int
+        self.assertEqual(num[1, 5, 3].set() | 4, num[1, 5, 3, 4].set())
+        self.assertEqual(num[1, 5, 3].set() | num[4], num[1, 5, 3, 4].set())
+        self.assertEqual(num[4].set() | num[1, 5, 3], num[4, 1, 5, 3].set())
+        # slices
+        self.assertEqual(num[:2].set() | num[8:], num[0, 1, 2, 8, 9].set())
+        self.assertEqual(num[:2].set() | num[5], num[0, 1, 2, 5].set())
+
+    def test_and(self):
+        # without axis
+        self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']),
+                         LSet(['c']))
+        # with axis & name
+        alpha = Axis('alpha', 'a,b,c,d')
+        res = alpha['a', 'b', 'c'].named('abc').set() & alpha['c', 'd'].named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'abc & cd')
+        self.assertEqual(res, alpha[['c']].set())
+
+    def test_sub(self):
+        self.assertEqual(LSet(['a', 'b', 'c']) - LSet(['c', 'd']),
+                         LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - ['c', 'd'],
+                         LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - 'b',
+                         LSet(['a', 'c']))
+        self.assertEqual(LSet([1, 2, 3]) - 4, LSet([1, 2, 3]))
+        self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
+
+
 class TestAxisCollection(TestCase):
     def setUp(self):
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 5)])

From 63835f089a0458f6179f5e29d12701a4ec2a7e40 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:11:01 +0100
Subject: [PATCH 265/899] factor out a _contain_group_ticks(ticks) function

---
 larray/core.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cf6b7283e..651dbcfb2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -774,6 +774,15 @@ def __getitem__(self, key):
         return PGroup(key, None, self.axis)
 
 
+def _is_object_array(array):
+    return isinstance(array, np.ndarray) and array.dtype.type == np.object_
+
+
+def _contain_group_ticks(ticks):
+    can_have_groups = _is_object_array(ticks) or isinstance(ticks, (tuple, list))
+    return can_have_groups and any(isinstance(tick, Group) for tick in ticks)
+
+
 class Axis(object):
     """
     Represents an axis. It consists of a name and a list of labels.
@@ -916,11 +925,7 @@ def labels(self, labels):
             # LGroup ticks, it does not make a difference since a list of VG
             # and an ndarray of VG are both arrays of pointers)
             ticks = _to_ticks(labels)
-            is_object_array = isinstance(ticks, np.ndarray) and \
-                              ticks.dtype.type == np.object_
-            can_have_groups = is_object_array or isinstance(ticks, (tuple, list))
-            if can_have_groups and any(
-                    isinstance(tick, LGroup) for tick in ticks):
+            if _contain_group_ticks(ticks):
                 # avoid getting a 2d array if all LGroup have the same length
                 labels = np.empty(len(ticks), dtype=object)
                 # this does not work if some values have a length (with a valid __len__) and others not

From 78f1ff352eeaecbc81fd6d4b156688aca3270ba0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:13:35 +0100
Subject: [PATCH 266/899] simplify code now that LGroup.__init__ includes
 _to_key

---
 larray/core.py | 18 ++++--------------
 1 file changed, 4 insertions(+), 14 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 651dbcfb2..2b8e3eece 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1348,6 +1348,10 @@ def translate(self, key, bool_passthrough=True):
         except (KeyError, TypeError, IndexError):
             pass
 
+        if isinstance(key, basestring):
+            # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
+            key = _to_key(key)
+
         if isinstance(key, PGroup):
             return key.key
 
@@ -1355,20 +1359,6 @@ def translate(self, key, bool_passthrough=True):
             # at this point we do not care about the axis nor the name
             key = key.key
 
-        if isinstance(key, basestring):
-            # transform "specially formatted strings" for slices and lists to
-            # actual objects
-            key = _to_key(key)
-            # if key was a string of the form "name=value", it can be an
-            # LGroup now, so we have to take the key from it *again*.
-            # XXX: one way to not do that twice would be to apply to_key
-            # to LGroup keys *before* storing them. This way we could simply
-            # handle string keys before LGroup keys (since a string in an
-            # LGroup would not need further processing)
-            if isinstance(key, LGroup):
-                # at this point we do not care about the axis nor the name
-                key = key.key
-
         if isinstance(key, slice):
             start = mapping[key.start] if key.start is not None else None
             # stop is inclusive in the input key and exclusive in the output !

From a1356639b20bcacd8e9ea34df73984e2e6d6323c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:24:08 +0100
Subject: [PATCH 267/899] a string containing only a single "int-like" are not
 transformed to int

eg. "10" will evaluate to "10" while "10,20" will evaluate to [10, 20]
---
 larray/core.py          | 18 ++++++++++++------
 larray/tests/test_la.py |  6 +++---
 2 files changed, 15 insertions(+), 9 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 2b8e3eece..fce72b3e3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -114,7 +114,6 @@
                           duplicates, array_lookup2, skip_comment_cells,
                           strip_rows, find_closing_chr, PY3)
 
-
 def _range_to_slice(seq, length=None):
     """
     Returns a slice if possible (including for sequences of 1 element)
@@ -466,7 +465,7 @@ def _to_ticks(s):
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
-def _parse_bound(s, stack_depth=1):
+def _parse_bound(s, stack_depth=1, parse_int=True):
     """Parse a string representing a single value, converting int-like
     strings to integers and evaluating expressions within {}.
 
@@ -501,7 +500,7 @@ def _parse_bound(s, stack_depth=1):
     elif s[0] == '{':
         expr = s[1:find_closing_chr(s)]
         return eval(expr, sys._getframe(stack_depth).f_locals)
-    elif s.isdigit() or (s[0] == '-' and s[1:].isdigit()):
+    elif parse_int and (s.isdigit() or (s[0] == '-' and s[1:].isdigit())):
         return int(s)
     else:
         return s
@@ -510,7 +509,7 @@ def _parse_bound(s, stack_depth=1):
 _axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
 
 
-def _to_key(v, stack_depth=1):
+def _to_key(v, stack_depth=1, parse_single_int=False):
     """
     Converts a value to a key usable for indexing (slice object, list of values,...).
     Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
@@ -537,6 +536,12 @@ def _to_key(v, stack_depth=1):
     'a'
     >>> _to_key(10)
     10
+    >>> _to_key('10')
+    '10'
+    >>> _to_key('10:20')
+    slice(10, 20, None)
+    >>> _to_key(slice('10', '20'))
+    slice('10', '20', None)
     >>> _to_key('year.i[-1]')
     PGroup(-1, axis='year')
     >>> _to_key('age[10:19]>>teens')
@@ -582,7 +587,8 @@ def _to_key(v, stack_depth=1):
             key = key[:-1]
         cls = PGroup if positional else LGroup
         if name is not None or axis is not None:
-            return cls(_to_key(key, stack_depth + 1), name=name, axis=axis)
+            key = _to_key(key, stack_depth + 1, parse_single_int=positional)
+            return cls(key, name=name, axis=axis)
         else:
             numcolons = v.count(':')
             if numcolons:
@@ -600,7 +606,7 @@ def _to_key(v, stack_depth=1):
                     return [_parse_bound(b, stack_depth + 2)
                             for b in v.split(',')]
                 else:
-                    return _parse_bound(v, stack_depth + 1)
+                    return _parse_bound(v, stack_depth + 1, parse_int=parse_single_int)
     elif v is Ellipsis or np.isscalar(v) or isinstance(v, (slice, list, np.ndarray, LArray, OrderedSet)):
         return v
     else:
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 98afadff5..4e8636d33 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -229,9 +229,9 @@ def test_contains(self):
         # normal Axis
         age = Axis('age', '..10')
 
-        age2 = age.group('2')
-        age2bis = age.group('2,')
-        age2ter = age.group(['2'])
+        age2 = age.group(2)
+        age2bis = age.group((2,))
+        age2ter = age.group([2])
         age2qua = '2,'
 
         age20 = LGroup('20')

From f846513b88c807a5bfbfd0a453bfb25cf158578d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:26:46 +0100
Subject: [PATCH 268/899] do not install the display hook by default because it
 only works on raw python (not ipython) and can cause problems

also moved the code to functions in viewer module
---
 larray/__init__.py | 20 +-------------------
 larray/viewer.py   | 18 ++++++++++++++++++
 2 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/larray/__init__.py b/larray/__init__.py
index bfc86b9f4..78044b055 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -6,24 +6,7 @@
 from larray.excel import open_excel
 
 try:
-    import sys
-
-    from qtpy import QtGui, QtCore, QtWidgets
-
     from larray.viewer import view, edit, compare
-
-    orig_hook = sys.displayhook
-
-    def qt_display_hook(value):
-        if isinstance(value, LArray):
-            view(value)
-        else:
-            orig_hook(value)
-
-    sys.displayhook = qt_display_hook
-
-    # cleanup namespace
-    del QtGui, QtCore, QtWidgets, sys
 except ImportError:
     def view(*args, **kwargs):
         raise Exception('view() is not available because Qt is not installed')
@@ -32,5 +15,4 @@ def edit(*args, **kwargs):
         raise Exception('edit() is not available because Qt is not installed')
 
     def compare(*args, **kwargs):
-        raise Exception('compare() is not available because Qt is not '
-                        'installed')
+        raise Exception('compare() is not available because Qt is not installed')
diff --git a/larray/viewer.py b/larray/viewer.py
index e7b661c9e..a761cfd60 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2483,6 +2483,24 @@ def get_name(i, obj, depth=0):
         dlg.exec_()
 
 
+_orig_display_hook = sys.displayhook
+
+
+def _qt_display_hook(value):
+    if isinstance(value, la.LArray):
+        view(value)
+    else:
+        _orig_display_hook(value)
+
+
+def install_display_hook():
+    sys.displayhook = _qt_display_hook
+
+
+def restore_display_hook():
+    sys.displayhook = _orig_display_hook
+
+
 if __name__ == "__main__":
     """Array editor test"""
 

From 82f1fd146315e6aa5931fe5ca5d97aadafe2079b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:28:34 +0100
Subject: [PATCH 269/899] fixed Group > and >= to use .eval() instead of .key
 so that slices work

---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index fce72b3e3..318093eb2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1802,11 +1802,11 @@ def __le__(self, other):
         return self.eval().__le__(other_key)
 
     def __gt__(self, other):
-        other_key = other.key if isinstance(other, Group) else other
+        other_key = other.eval() if isinstance(other, Group) else other
         return self.eval().__gt__(other_key)
 
     def __ge__(self, other):
-        other_key = other.key if isinstance(other, Group) else other
+        other_key = other.eval() if isinstance(other, Group) else other
         return self.eval().__ge__(other_key)
 
     def __contains__(self, item):

From ac4b85f81dd3884faeee3f56693833f522de4e2f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 12:31:27 +0100
Subject: [PATCH 270/899] fixed plots from within the viewer when qt5 is
 installed

this also removes the matplotlib warning people got when running the viewer when using qt5
---
 larray/viewer.py | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index a761cfd60..3c65b77c4 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -93,12 +93,14 @@
 
 try:
     import matplotlib
-    matplotlib.use('Qt4Agg')
-    del matplotlib
-    import matplotlib.pyplot as plt
-    from matplotlib.backends.backend_qt4agg import FigureCanvas as FigureCanvas
-    from matplotlib.backends.backend_qt4agg \
-        import NavigationToolbar2QT as NavigationToolbar
+    from matplotlib.figure import Figure
+    try:
+        from matplotlib.backends.backend_qt5agg import FigureCanvas
+        from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
+    except Exception:
+        from matplotlib.backends.backend_qt4agg import FigureCanvas
+        from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
+
     matplotlib_present = True
 except ImportError:
     matplotlib_present = False
@@ -1166,7 +1168,7 @@ def plot(self):
         assert row or column
         data = data[0] if column else data[:, 0]
 
-        figure = plt.figure()
+        figure = Figure()
 
         # create an axis
         ax = figure.add_subplot(111)
@@ -1849,7 +1851,6 @@ def setup_and_check(self, data, title='', readonly=False,
             kernel_manager = QtInProcessKernelManager()
             kernel_manager.start_kernel(show_banner=False)
             kernel = kernel_manager.kernel
-            kernel.gui = 'qt4'
 
             kernel.shell.run_cell('from larray import *')
             kernel.shell.push(self.data._objects)

From 99f5fbaca346c19dff2c240f24ee3036321cca97 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 13:15:20 +0100
Subject: [PATCH 271/899] better doctest for Axis.subaxis

---
 larray/core.py | 11 +++--------
 1 file changed, 3 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 318093eb2..1074f33bc 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1066,11 +1066,10 @@ def subaxis(self, key, name=None):
 
         Parameters
         ----------
-        key : key
-            Input key can be a LArray or a (collection of) label(s).
+        key : int, or collection (list, slice, array, LArray) of them
+            Position(s) of labels to use for the new axis.
         name : str, optional
-            Name of the subaxis.
-            If input name is None, the name of the subaxis is the same as parent axis.
+            Name of the subaxis. Defaults to the name of the parent axis.
 
         Returns
         -------
@@ -1079,10 +1078,6 @@ def subaxis(self, key, name=None):
             If key is a None slice and name is None, the original Axis is returned.
             If key is a LArray, the list of axes is returned.
 
-        Notes
-        -----
-        key is index-based (slice and fancy indexing are supported)
-
         Examples
         --------
         >>> age = Axis('age', range(100))

From 559ac46945be18575278a11413def10c86e880a8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 13:25:20 +0100
Subject: [PATCH 272/899] implemented creating an Axis using a group:

>>> arr = ndtest((2, 3))
>>> arr
a\b | b0 | b1 | b2
 a0 |  0 |  1 |  2
 a1 |  3 |  4 |  5
>>> a, b = arr.axes
>>> zeros((a, b[:'b1']))
a\b |  b0 |  b1
 a0 | 0.0 | 0.0
 a1 | 0.0 | 0.0
---
 larray/core.py          |  4 +++-
 larray/tests/test_la.py | 15 ++++++++++++++-
 2 files changed, 17 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 1074f33bc..031352621 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -438,7 +438,7 @@ def _to_ticks(s):
     """
     if isinstance(s, Group):
         # a single LGroup used for all ticks of an Axis
-        raise NotImplementedError("not sure what to do with it yet")
+        return _to_ticks(s.eval())
     elif isinstance(s, pd.Index):
         return s.values
     elif isinstance(s, np.ndarray):
@@ -2064,6 +2064,8 @@ def make_axis(obj):
                 assert len(obj) == 2
                 name, labels = obj
                 return Axis(name, labels)
+            elif isinstance(obj, Group):
+                return Axis(obj.axis, obj.eval())
             else:
                 if isinstance(obj, str) and '=' in obj:
                     name, labels = [o.strip() for o in obj.split('=')]
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 4e8636d33..86981f946 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -185,6 +185,12 @@ def group_equal(g1, g2):
         self.assertTrue(group_equal(age.group(val_axis_name, name='a_name'),
                                     LGroup(ages, 'a_name', age)))
 
+    def test_init_from_group(self):
+        code = Axis('code', 'C01..C03')
+        code_group = code[:'C02']
+        subset_axis = Axis('code_subset', code_group)
+        assert_array_equal(subset_axis.labels, ['C01', 'C02'])
+
     def test_match(self):
         sutcode = Axis('sutcode', ['A23', 'A2301', 'A25', 'A2501'])
         self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
@@ -508,7 +514,7 @@ def test_sub(self):
 
 class TestAxisCollection(TestCase):
     def setUp(self):
-        self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 5)])
+        self.lipro = Axis('lipro', 'P01..P04')
         self.sex = Axis('sex', 'H,F')
         self.sex2 = Axis('sex', 'F,H')
         self.age = Axis('age', '..7')
@@ -516,6 +522,13 @@ def setUp(self):
         self.value = Axis('value', '..10')
         self.collection = AxisCollection((self.lipro, self.sex, self.age))
 
+    def test_init_from_group(self):
+        lipro_subset = self.lipro[:'P03']
+        col2 = AxisCollection((lipro_subset, self.sex))
+        self.assertEqual(col2.names, ['lipro', 'sex'])
+        assert_array_equal(col2.lipro.labels, ['P01', 'P02', 'P03'])
+        assert_array_equal(col2.sex.labels, ['H', 'F'])
+
     def test_eq(self):
         col = self.collection
         self.assertEqual(col, col)

From 475c06cdbc06fc4dfa4cbd53945be238ff947b8a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 15:02:35 +0100
Subject: [PATCH 273/899] viewer: refresh array even when no array was selected

---
 larray/viewer.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3c65b77c4..3cefbed3b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1995,11 +1995,14 @@ def select_list_item(self, to_display):
         assert len(changed_items) == 1
         prev_selected = self._listwidget.selectedItems()
         assert len(prev_selected) <= 1
-        # if the currently selected item (value) is modified
+        # if the currently selected item (value) need to be refreshed (e.g it was modified)
         if prev_selected and prev_selected[0] == changed_items[0]:
             # we need to update the array widget explicitly
             self.set_widget_array(self.data[to_display], to_display)
         else:
+            # for some reason, on_item_changed is not triggered when no item was selected
+            if not prev_selected:
+                self.set_widget_array(self.data[to_display], to_display)
             self._listwidget.setCurrentItem(changed_items[0])
 
     def line_edit_update(self):

From 8b1d56754498b3d8449c34c168142cb1dedaad57 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 15:38:11 +0100
Subject: [PATCH 274/899] express view() in terms of edit()

---
 larray/viewer.py | 51 +++++++++++++-----------------------------------
 1 file changed, 14 insertions(+), 37 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3cefbed3b..43122129e 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2397,40 +2397,32 @@ def get_title(obj, depth=0, maxnames=3):
     return ', '.join(names)
 
 
-def edit(obj=None, title='', minvalue=None, maxvalue=None):
+def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
     """
-    Starts a new editor window. If no session object or
-    array dictionary is provided as argument, all local
-    arrays are loaded in the editor.
+    Opens a new editor window. If no object is given, all local arrays are loaded in the editor.
 
-    obj : Session or dict of LArray, optional
-        Session or a dictionary of arrays to
-        load in user interface. By default,
-        all existing local arrays are loaded.
+    obj : np.ndarray, LArray, Session or dict, optional
+        Object to visualize. Defaults to the collection of all local variables where the function was called.
     title : str, optional
-        Title for the current session.
-        A default one is generated if not provided.
+        Title for the current object. A default one is generated if not provided.
     minvalue : scalar, optional
         Minimum value allowed.
     maxvalue : scalar, optional
         Maximum value allowed.
+    readonly : bool, optional
+        Whether or not editing array values is forbidden Defaults to False.
+    depth : int, optional
+        Stack depth where to look for variables.
     """
     _app = qapplication()
     if obj is None:
-        obj = la.local_arrays(depth=1)
-    elif isinstance(obj, dict) and \
-            all(isinstance(o, la.LArray) for o in obj.values()):
-        obj = la.Session(obj)
+        obj = sys._getframe(depth + 1).f_locals
 
     if not title:
-        title = get_title(obj, depth=1)
+        title = get_title(obj, depth=depth + 1)
 
-    if isinstance(obj, la.Session):
-        dlg = SessionEditor()
-    else:
-        dlg = ArrayEditor()
-    if dlg.setup_and_check(obj, title=title,
-                           minvalue=minvalue, maxvalue=maxvalue):
+    dlg = SessionEditor() if hasattr(obj, 'keys') else ArrayEditor()
+    if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
         dlg.exec_()
 
 
@@ -2450,22 +2442,7 @@ def view(obj=None, title=''):
         Title for the current session.
         A default one is generated if not provided.
     """
-    _app = qapplication()
-    if obj is None:
-        obj = la.local_arrays(depth=1)
-    elif isinstance(obj, dict) and \
-            all(isinstance(o, la.LArray) for o in obj.values()):
-        obj = la.Session(obj)
-
-    if not title:
-        title = get_title(obj, depth=1)
-
-    if isinstance(obj, la.Session):
-        dlg = SessionEditor()
-    else:
-        dlg = ArrayEditor()
-    if dlg.setup_and_check(obj, title=title, readonly=True):
-        dlg.exec_()
+    edit(obj, title=title, readonly=True, depth=1)
 
 
 def compare(*args, **kwargs):

From 1d8aa576b2d9f4cb1753d40547a238d813fc07e4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 15:45:59 +0100
Subject: [PATCH 275/899] generalize SessionEditor to handle any mapping and
 implement delete keys

also added support for having objects which we do not want to display in the grid in the mapping. Those will not appear in the list. To display those, one should use the console.
---
 larray/viewer.py | 104 +++++++++++++++++++++++------------------------
 1 file changed, 52 insertions(+), 52 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 43122129e..037d25f6f 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1791,15 +1791,15 @@ def get_value(self):
         return self.data
 
 
-statement_pattern = re.compile('[^\[\]]+[^=]=[^=].+')
+assignment_pattern = re.compile('[^\[\]]+[^=]=[^=].+')
 setitem_pattern = re.compile('(.+)\[.+\][^=]=[^=].+')
 history_vars_pattern = re.compile('_i?\d+')
 # TODO: add all numpy scalars (except strings)
 # (long) strings are not handled correctly so should NOT be in this list
-DISPLAY_IN_GRID = (tuple, list, la.LArray, np.ndarray, int, float)
+DISPLAY_IN_GRID = (tuple, list, la.LArray, np.ndarray)
 
 
-class SessionEditor(QDialog):
+class MappingEditor(QDialog):
     """Session Editor Dialog"""
     def __init__(self, parent=None):
         QDialog.__init__(self, parent)
@@ -1820,10 +1820,9 @@ def __init__(self, parent=None):
     def setup_and_check(self, data, title='', readonly=False,
                         minvalue=None, maxvalue=None):
         """
-        Setup SessionEditor:
+        Setup MappingEditor:
         return False if data is not supported, True otherwise
         """
-        assert isinstance(data, la.Session)
         self.data = data
 
         icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
@@ -1840,11 +1839,13 @@ def setup_and_check(self, data, title='', readonly=False,
         self.setLayout(layout)
 
         self._listwidget = QListWidget(self)
-        self.add_list_items(self.data.names)
+        arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
+        self.add_list_items(arrays)
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 
-        self.arraywidget = ArrayEditorWidget(self, la.zeros(1), readonly)
+        start_array = la.zeros(1) if arrays else la.zeros(0)
+        self.arraywidget = ArrayEditorWidget(self, start_array, readonly)
 
         if qtconsole_available:
             # Create an in-process kernel
@@ -1853,9 +1854,8 @@ def setup_and_check(self, data, title='', readonly=False,
             kernel = kernel_manager.kernel
 
             kernel.shell.run_cell('from larray import *')
-            kernel.shell.push(self.data._objects)
-            text_formatter = \
-                kernel.shell.display_formatter.formatters['text/plain']
+            kernel.shell.push(dict(self.data.items()))
+            text_formatter = kernel.shell.display_formatter.formatters['text/plain']
 
             def void_formatter(array, *args, **kwargs):
                 return ''
@@ -1957,39 +1957,45 @@ def add_list_items(self, names):
             listitem.setText(name)
             value = self.data[name]
             if isinstance(value, la.LArray):
-                # XXX: Is having the name in the tooltip really useful?
-                listitem.setToolTip("%s: %s" % (name, value.info))
+                listitem.setToolTip(str(value.info))
 
-    def update_session(self, value):
+    def update_mapping(self, value):
+        # XXX: use ordered set so that the order is non-random if the underlying container is ordered?
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
-        # TODO: add support for deleting keys
-        new_keys = keys_after - keys_before
-        # filter types we do not want in the session (because we cannot display
-        # them in the grid and we want to keep the list synchronised with the
-        # session)
-        new_keys = [k for k in new_keys
-                    if isinstance(value[k], DISPLAY_IN_GRID)]
-
-        # display only first result if there are more than one
-        changed_keys = [k for k in keys_before | keys_after
-                        if value.get(k) is not self.data.get(k)]
-        if len(changed_keys) > 1:
-            raise NotImplementedError("modifying more than one variable at "
-                                      "once is not supported yet")
+
+        # deleted keys
+        for k in keys_before - keys_after:
+            if self._display_in_grid(k, self.data[k]):
+                self.delete_list_item(k)
+            del self.data[k]
+
+        # contains both new and updated keys (but not deleted keys)
+        changed_keys = [k for k in keys_after if value[k] is not self.data.get(k)]
         if changed_keys:
             # update session
             for k in changed_keys:
                 self.data[k] = value[k]
 
-            self.add_list_items(new_keys)
-            to_display = changed_keys[0]
+            # add new keys which can be displayed
+            self.add_list_items([k for k in keys_after - keys_before if self._display_in_grid(k, value[k])])
+
+            displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
+
+            # display only first result if there are more than one
+            to_display = displayable_changed_keys[0]
 
             self.select_list_item(to_display)
             return to_display
         else:
             return None
 
+    def delete_list_item(self, to_delete):
+        deleted_items = self._listwidget.findItems(to_delete, Qt.MatchExactly)
+        assert len(deleted_items) == 1
+        deleted_item_idx = self._listwidget.row(deleted_items[0])
+        self._listwidget.takeItem(deleted_item_idx)
+
     def select_list_item(self, to_display):
         changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
         assert len(changed_items) == 1
@@ -2007,10 +2013,10 @@ def select_list_item(self, to_display):
 
     def line_edit_update(self):
         s = self.eval_box.text()
-        if statement_pattern.match(s):
+        if assignment_pattern.match(s):
             context = self.data._objects.copy()
             exec(s, la.__dict__, context)
-            varname = self.update_session(context)
+            varname = self.update_mapping(context)
             if varname is not None:
                 self.expressions[varname] = s
         else:
@@ -2020,48 +2026,42 @@ def view_expr(self, array, *args, **kwargs):
         self._listwidget.clearSelection()
         self.set_widget_array(array, '<expr>')
 
+    def _display_in_grid(self, k, v):
+        return not k.startswith('__') and isinstance(v, DISPLAY_IN_GRID)
+
     def ipython_cell_executed(self):
         user_ns = self.kernel.shell.user_ns
         ip_keys = set(['In', 'Out', '_', '__', '___',
-                       '__builtin__', '__builtins__',
-                       '__doc__', '__loader__', '__name__', '__package__',
-                       '__spec__', '_dh',
-                       '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
+                       '__builtin__', 
+                       '_dh', '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
                        'exit', 'get_ipython', 'quit'])
-
-        def allowed_in_session(v):
-            return isinstance(v, (tuple, list, la.LArray, np.ndarray)) or \
-                   np.isscalar(v)
-
-        clean_ns_keys = set([k for k, v in user_ns.items()
-                             if not history_vars_pattern.match(k) and
-                                isinstance(v, DISPLAY_IN_GRID)]) - ip_keys
+        # '__builtins__', '__doc__', '__loader__', '__name__', '__package__', '__spec__',
+        clean_ns_keys = set([k for k, v in user_ns.items() if not history_vars_pattern.match(k)]) - ip_keys
         clean_ns = {k: v for k, v in user_ns.items() if k in clean_ns_keys}
 
         # user_ns['_i'] is not updated yet (refers to the -2 item)
         # In and _ih point to the same object
         last_input = user_ns['In'][-1]
-        if statement_pattern.match(last_input):
-            # updates the view if any new object is in the session or any
-            # existing name changed id()
-            self.update_session(clean_ns)
-        elif setitem_pattern.match(last_input):
+        if setitem_pattern.match(last_input):
             m = setitem_pattern.match(last_input)
             varname = m.group(1)
             # otherwise it should have failed at this point, but let us be sure
             if varname in clean_ns:
                 self.select_list_item(varname)
         else:
-            # not a statement nor setitem => assume expr
+            # not setitem => assume expr or normal assignment
             if last_input in clean_ns:
                 # the name exists in the session => select and display it
                 self.select_list_item(last_input)
             else:
+                # any statement can contain a call to a function which updates globals
+                self.update_mapping(clean_ns)
+
                 # we want to get at the last output.
                 # Out and _oh point to the same object.
                 # Out is a simple dict, so user_ns['Out'][-1] does not work.
                 last_output = user_ns['_']
-                if isinstance(last_output, DISPLAY_IN_GRID):
+                if self._display_in_grid('_', last_output):
                     self.view_expr(last_output)
 
     def on_item_changed(self, curr, prev):
@@ -2221,7 +2221,7 @@ def setup_and_check(self, arrays, names, title=''):
         return True
 
 
-# TODO: it should be possible to reuse both SessionEditor and ArrayComparator
+# TODO: it should be possible to reuse both MappingEditor and ArrayComparator
 class SessionComparator(QDialog):
     """Session Comparator Dialog"""
     def __init__(self, parent=None):
@@ -2421,7 +2421,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     if not title:
         title = get_title(obj, depth=depth + 1)
 
-    dlg = SessionEditor() if hasattr(obj, 'keys') else ArrayEditor()
+    dlg = MappingEditor() if hasattr(obj, 'keys') else ArrayEditor()
     if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
         dlg.exec_()
 

From 77209846959e9e1335fe74eff04b520d383039ed Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 10 Jan 2017 15:51:06 +0100
Subject: [PATCH 276/899] update TODO

---
 larray/viewer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 037d25f6f..6364926c0 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1794,7 +1794,7 @@ def get_value(self):
 assignment_pattern = re.compile('[^\[\]]+[^=]=[^=].+')
 setitem_pattern = re.compile('(.+)\[.+\][^=]=[^=].+')
 history_vars_pattern = re.compile('_i?\d+')
-# TODO: add all numpy scalars (except strings)
+# XXX: add all scalars except strings (from numpy or plain Python)?
 # (long) strings are not handled correctly so should NOT be in this list
 DISPLAY_IN_GRID = (tuple, list, la.LArray, np.ndarray)
 

From deec71093d9865f17b105b9239e32ebe6a2136ae Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Jan 2017 15:56:32 +0100
Subject: [PATCH 277/899] changed Group.__repr__ to be more user-friendly (and
 more concice)

---
 larray/core.py          | 137 ++++++++++++++++++++--------------------
 larray/tests/test_la.py |  46 ++++----------
 2 files changed, 79 insertions(+), 104 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 031352621..ba6a8d5f3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -179,7 +179,7 @@ def _range_to_slice(seq, length=None):
     return slice(start, stop, step)
 
 
-def _slice_to_str(key, use_repr=False):
+def _slice_to_str(key, repr_func=str):
     """
     Converts a slice to a string
 
@@ -197,10 +197,9 @@ def _slice_to_str(key, use_repr=False):
     ':5:2'
     """
     # examples of result: ":24" "25:" ":" ":5:2"
-    func = repr if use_repr else str
-    start = func(key.start) if key.start is not None else ''
-    stop = func(key.stop) if key.stop is not None else ''
-    step = (":" + func(key.step)) if key.step is not None else ''
+    start = repr_func(key.start) if key.start is not None else ''
+    stop = repr_func(key.stop) if key.stop is not None else ''
+    step = (":" + repr_func(key.step)) if key.step is not None else ''
     return '%s:%s%s' % (start, stop, step)
 
 
@@ -543,11 +542,13 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
     >>> _to_key(slice('10', '20'))
     slice('10', '20', None)
     >>> _to_key('year.i[-1]')
-    PGroup(-1, axis='year')
+    year.i[-1]
     >>> _to_key('age[10:19]>>teens')
-    LGroup(slice(10, 19, None), name='teens', axis='age')
+    age[10:19] >> 'teens'
     >>> _to_key('a,b,c >> abc')
-    LGroup(['a', 'b', 'c'], name='abc')
+    LGroup(['a', 'b', 'c']) >> 'abc'
+    >>> _to_key('a:c >> abc')
+    LGroup(slice('a', 'c', None)) >> 'abc'
 
     # evaluated variables do not work on Python 2, probably because the stackdepth is different
     # >>> ext = [1, 2, 3]
@@ -638,7 +639,7 @@ def to_keys(value, stack_depth=1):
     >>> to_keys('P01;P02,P03;:')
     ('P01', ['P02', 'P03'], slice(None, None, None))
 
-    # evaluated variables do not work on Python 2, probably because the stackdepth is different
+    # evaluated variables do not work on Python 2, probably because the stack depth is different
     # >>> ext = 'P03'
     # >>> to_keys('P01,P02,{ext}')
     # ['P01', 'P02', 'P03']
@@ -646,9 +647,7 @@ def to_keys(value, stack_depth=1):
     # ('P01', 'P02', 'P03')
 
     >>> to_keys('age[10:19] >> teens ; year.i[-1]')
-    ... # doctest: +NORMALIZE_WHITESPACE
-    (LGroup(slice(10, 19, None), name='teens', axis='age'),
-     PGroup(-1, axis='year'))
+    (age[10:19] >> 'teens', year.i[-1])
 
     # >>> to_keys('P01,P02,:') # <-- INVALID !
     # it should have an explicit failure
@@ -744,7 +743,7 @@ def _isnoneslice(v):
     return isinstance(v, slice) and v == slice(None)
 
 
-def _seq_summary(seq, n=3, func=repr, sep=' '):
+def _seq_summary(seq, n=3, repr_func=repr, sep=' '):
     """
     Returns a string representing a sequence by showing only the n first and last elements.
 
@@ -756,7 +755,7 @@ def _seq_summary(seq, n=3, func=repr, sep=' '):
     def shorten(l):
         return l if len(l) <= 2 * n else l[:n] + ['...'] + list(l[-n:])
 
-    return sep.join(shorten([func(l) for l in seq]))
+    return sep.join(shorten([repr_func(l) for l in seq]))
 
 
 class PGroupMaker(object):
@@ -1025,7 +1024,7 @@ def group(self, *args, **kwargs):
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> odd_years = time.group([2007, 2009], name='odd_years')
         >>> odd_years
-        LGroup([2007, 2009], name='odd_years', axis=Axis('time', [2007, 2008, 2009, 2010]))
+        time[2007, 2009] >> 'odd_years'
         """
         name = kwargs.pop('name', None)
         if kwargs:
@@ -1212,15 +1211,13 @@ def matches(self, pattern):
 
         All labels starting with "W" and ending with "o" are given by
 
-        >>> people.matches('W.*o')  # doctest: +NORMALIZE_WHITESPACE
-        LGroup(['Waldo'],
-               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
+        >>> people.matches('W.*o')
+        people['Waldo']
 
         All labels not containing character "a"
 
-        >>> people.matches('[^a]*$')  # doctest: +NORMALIZE_WHITESPACE
-        LGroup(['Bruce Willis', 'Arthur Dent'],
-               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
+        >>> people.matches('[^a]*$')
+        people['Bruce Willis', 'Arthur Dent']
         """
         if isinstance(pattern, Group):
             pattern = pattern.eval()
@@ -1244,9 +1241,8 @@ def startswith(self, prefix):
         Examples
         --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.startswith('Bru')  # doctest: +NORMALIZE_WHITESPACE
-        LGroup(['Bruce Wayne', 'Bruce Willis'],
-               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
+        >>> people.startswith('Bru')
+        people['Bruce Wayne', 'Bruce Willis']
         """
         if isinstance(prefix, Group):
             prefix = prefix.eval()
@@ -1269,9 +1265,8 @@ def endswith(self, suffix):
         Examples
         --------
         >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
-        >>> people.endswith('Dent')  # doctest: +NORMALIZE_WHITESPACE
-        LGroup(['Arthur Dent', 'Harvey Dent'],
-               axis=Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent']))
+        >>> people.endswith('Dent')
+        people['Arthur Dent', 'Harvey Dent']
         """
         if isinstance(suffix, Group):
             suffix = suffix.eval()
@@ -1435,7 +1430,7 @@ def repr_on_strings(v):
                 return repr(v)
             else:
                 return str(v)
-        return _seq_summary(self.labels, func=repr_on_strings)
+        return _seq_summary(self.labels, repr_func=repr_on_strings)
 
     # method factory
     def _binop(opname):
@@ -1556,6 +1551,8 @@ def _rename(self, name):
 class Group(object):
     """Abstract Group.
     """
+    format_string = None
+
     def __init__(self, key, name=None, axis=None):
         if isinstance(key, tuple):
             key = list(key)
@@ -1582,29 +1579,34 @@ def __init__(self, key, name=None, axis=None):
         # name. See test_la.py:test_...
         self.axis = axis
 
-    def __str__(self):
-        if self.name is not None:
-            return self.name
+    def __repr__(self):
+        key = self.key
+
+        # eval only returns a slice for groups without an Axis object
+        if isinstance(key, slice):
+            key_repr = _slice_to_str(key, repr_func=repr)
+        elif isinstance(key, (tuple, list, np.ndarray)):
+            key_repr = _seq_summary(key, n=1000, repr_func=repr, sep=', ')
         else:
-            key = self.eval()
-            if isinstance(key, slice):
-                str_key = _slice_to_str(key, use_repr=True)
-            elif isinstance(key, (tuple, list, np.ndarray)):
-                str_key = _seq_summary(key, 1)
-            else:
-                str_key = repr(key)
-            if self.axis is None:
-                if isinstance(key, (tuple, list, np.ndarray)):
-                    return '[{}]'.format(str_key)
-                else:
-                    return str_key
-            else:
-                return '{}[{}]'.format(str(self.axis), str_key)
+            key_repr = repr(key)
 
-    def __repr__(self):
-        name = ", name=%r" % self.name if self.name is not None else ''
-        axis = ", axis=%r" % self.axis if self.axis is not None else ''
-        return "%s(%r%s%s)" % (self.__class__.__name__, self.key, name, axis)
+        axis_name = self.axis.name if isinstance(self.axis, Axis) else self.axis
+        if axis_name is not None:
+            axis_name = 'x.{}'.format(axis_name) if isinstance(self.axis, AxisReference) else axis_name
+            s = self.format_string.format(axis=axis_name, key=key_repr)
+        else:
+            if self.axis is not None:
+                # anonymous axis
+                axis_ref = ', axis={}'.format(repr(self.axis))
+            else:
+                axis_ref = ''
+            if isinstance(key, slice):
+                key_repr = repr(key)
+            elif isinstance(key, list):
+                key_repr = '[{}]'.format(key_repr)
+            s = '{}({}{})'.format(self.__class__.__name__, key_repr, axis_ref)
+        return "{} >> {}".format(s, repr(self.name)) if self.name is not None else s
+    __str__ = __repr__
 
     def translate(self, bound=None, stop=False):
         """
@@ -1691,25 +1693,16 @@ def by(self, length, step=None):
         Examples
         --------
         >>> age = Axis('age', range(10))
-        >>> age[[1, 2, 3, 4, 5]].by(2)  # doctest: +NORMALIZE_WHITESPACE
-        (LGroup([1, 2], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         LGroup([3, 4], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         LGroup([5], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
-        >>> age[1:5].by(2)  # doctest: +NORMALIZE_WHITESPACE
-        (PGroup(slice(1, 3, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         PGroup(slice(3, 5, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
-        >>> age[1:5].by(2, 4)  # doctest: +NORMALIZE_WHITESPACE
-        (PGroup(slice(1, 3, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
-        >>> age[1:5].by(3, 2)  # doctest: +NORMALIZE_WHITESPACE
-        (PGroup(slice(1, 4, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         PGroup(slice(3, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])),
-         PGroup(slice(5, 6, None), axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])))
-        >>> x.age[[0, 1, 2, 3, 4]].by(2)  # doctest: +NORMALIZE_WHITESPACE
-        (LGroup([0, 1], axis=AxisReference('age')),
-         LGroup([2, 3], axis=AxisReference('age')),
-         LGroup([4], axis=AxisReference('age')))
+        >>> age[[1, 2, 3, 4, 5]].by(2)
+        (age[1, 2], age[3, 4], age[5])
+        >>> age[1:5].by(2)
+        (age.i[1:3], age.i[3:5], age.i[5:6])
+        >>> age[1:5].by(2, 4)
+        (age.i[1:3], age.i[5:6])
+        >>> age[1:5].by(3, 2)
+        (age.i[1:4], age.i[3:6], age.i[5:6])
+        >>> x.age[[0, 1, 2, 3, 4]].by(2)
+        (x.age[0, 1], x.age[2, 3], x.age[4])
         """
         if step is None:
             step = length
@@ -1859,8 +1852,10 @@ class LGroup(Group):
     >>> age = Axis('age', '0..100')
     >>> teens = x.age[10:19].named('teens')
     >>> teens
-    LGroup(slice(10, 19, None), name='teens', axis=AxisReference('age'))
+    x.age[10:19] >> 'teens'
     """
+    format_string = "{axis}[{key}]"
+
     def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         Group.__init__(self, key, name, axis)
@@ -1895,6 +1890,8 @@ def eval(self):
 
 
 class LSet(LGroup):
+    format_string = "{axis}.set[{key}]"
+
     def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         if isinstance(key, LGroup):
@@ -1957,6 +1954,8 @@ class PGroup(Group):
     axis : int, str, Axis, optional
         Axis for group.
     """
+    format_string = "{axis}.i[{key}]"
+
     def translate(self, bound=None, stop=False):
         """
         compute position(s) of group
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 86981f946..f0df2153c 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -205,7 +205,7 @@ def test_getitem(self):
         group = age[':3']
         self.assertEqual(group.key, slice(None, 3, None))
         self.assertTrue(group.axis.equals(age))
-        self.assertEqual(group, lg, "%s != %s" % (group, lg))
+        self.assertEqual(group, lg, "%r != %r" % (group, lg))
         # self.assertEqual(age[':7'], lg)
 
         group = age[:]
@@ -423,27 +423,13 @@ def test_hash(self):
         self.assertEqual(d.get(LGroup(' P01 , P03 , P07 ')), 3)
         self.assertEqual(d.get(LGroup(('P01', 'P03', 'P07'))), 3)
 
-    def test_str(self):
-        self.assertEqual(str(self.slice_both_named_wh_named_axis), "full")
-        self.assertEqual(str(self.slice_both_named), "named")
-        self.assertEqual(str(self.slice_both), "1:5")
-        self.assertEqual(str(self.slice_start), "1:")
-        self.assertEqual(str(self.slice_stop), ":5")
-        self.assertEqual(str(self.slice_none_no_axis), ':')
-        self.assertEqual(str(self.single_value), "'P03'")
-        self.assertEqual(str(self.list), "['P01' ... 'P07']")
-
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named),
-                         "LGroup(slice(1, 5, None), name='named')")
+                         "LGroup(slice(1, 5, None)) >> 'named'")
         self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
         self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P07'])")
         self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
-        target = \
-            "LGroup(slice(None, None, None), axis=Axis('lipro', ['P01', 'P02', 'P03', 'P04', " \
-                                                                "'P05', 'P06', 'P07', 'P08', " \
-                                                                "'P09']))"
-        self.assertEqual(repr(self.slice_none_wh_named_axis), target)
+        self.assertEqual(repr(self.slice_none_wh_named_axis), "lipro[:]")
         self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
                          "LGroup(slice(None, None, None), axis=Axis(None, [0, 1, 2]))")
 
@@ -1031,39 +1017,29 @@ def test_getitem_guess_axis(self):
         assert_array_equal(la[g], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        with self.assertRaisesRegexp(ValueError,
-                                     "key has several values for axis: age"):
+        with self.assertRaisesRegexp(ValueError, "key has several values for axis: age"):
             la[[1, 2], [3, 4]]
 
         # key with invalid label (ie label not found on any axis)
-        with self.assertRaisesRegexp(ValueError,
-                                     "999 is not a valid label for any axis"):
+        with self.assertRaisesRegexp(ValueError, "999 is not a valid label for any axis"):
             la[[1, 2], 999]
 
         # key with invalid label list (ie list of labels not found on any axis)
-        with self.assertRaisesRegexp(ValueError,
-                                     "\[998, 999\] is not a valid label for "
-                                     "any axis"):
+        with self.assertRaisesRegexp(ValueError, "\[998, 999\] is not a valid label for any axis"):
             la[[1, 2], [998, 999]]
 
         # key with partial invalid list (ie list containing a label not found
         # on any axis)
-        # FIXME: the message should be the same as for 999, 4. Not sure which
-        #        version we should use though !
-        with self.assertRaisesRegexp(ValueError,
-                                     "\[3 999\] is not a valid label for any "
-                                     "axis"):
+        # FIXME: the message should be the same as for 999, 4 (ie it should NOT mention age).
+        with self.assertRaisesRegexp(ValueError, "age\[3, 999\] is not a valid label for any axis"):
             la[[1, 2], [3, 999]]
 
-        with self.assertRaisesRegexp(ValueError,
-                                     "\[999, 4\] is not a valid label for any "
-                                     "axis"):
+        with self.assertRaisesRegexp(ValueError, "\[999, 4\] is not a valid label for any axis"):
             la[[1, 2], [999, 4]]
 
         # ambiguous key
         a = ndrange((sex, sex.rename('sex2')))
-        with self.assertRaisesRegexp(ValueError,
-                                     "F is ambiguous \(valid in sex, sex2\)"):
+        with self.assertRaisesRegexp(ValueError, "F is ambiguous \(valid in sex, sex2\)"):
             a['F']
 
     def test_getitem_positional_group(self):
@@ -2497,7 +2473,7 @@ def test_sum_with_groups_from_other_axis(self):
         # the same name in the array
         lipro4 = Axis('lipro', 'P01,P03,P16')
         with self.assertRaisesRegexp(ValueError,
-                                     "lipro\['P01' 'P16'\] is not a valid "
+                                     "lipro\['P01', 'P16'\] is not a valid "
                                      "label for any axis"):
             small.sum(lipro4['P01,P16'])
 

From 72169a5defe69541fcf0a66a6af7d28ce9b34339 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Jan 2017 16:18:22 +0100
Subject: [PATCH 278/899] group aggregates produce simple string ticks instead
 of Group ticks

simplifies a bit of code, breaks a few edge cases, but also fixes a few issues (notably export of aggregated arrays to excel)
---
 larray/core.py          | 98 ++++++++++++++++++++++++++---------------
 larray/tests/test_la.py | 15 ++++---
 2 files changed, 71 insertions(+), 42 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index ba6a8d5f3..9b0ec529e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -361,38 +361,26 @@ def _range_str_to_range(s):
     return generalized_range(start, stop, step)
 
 
-def _to_string(v):
+def _to_tick(v):
     """
-    Converts a (group of) tick(s) to a string
+    Converts any value to a tick (ie makes it hashable, and acceptable as an ndarray element)
+
+    scalar -> not modified
+    slice -> 'start:stop'
+    list|tuple -> 'v1,v2,v3'
+    Group with name -> v.name
+    Group without name -> _to_tick(v.key)
+    other -> str(v)
 
     Parameters:
     -----------
     v : any
-        (group of) tick(s).
+        value to be converted.
 
     Returns
     -------
-    str
-        string representing a (group of) tick(s)
-    """
-    if isinstance(v, slice):
-        return _slice_to_str(v)
-    elif isinstance(v, (tuple, list)):
-        if len(v) == 1:
-            return str(v) + ','
-        else:
-            return ','.join(str(k) for k in v)
-    else:
-        return str(v)
-
-
-def _to_tick(e):
-    """
-    Makes it hashable, and acceptable as an ndarray element
-    scalar & VG -> not modified
-    slice -> 'start:stop'
-    list|tuple -> 'v1,v2,v3'
-    other -> str(v)
+    any scalar
+        scalar representing the tick
     """
     # the fact that an "aggregated tick" is passed as a LGroup or as a
     # string should be as irrelevant as possible. The thing is that we cannot
@@ -402,10 +390,19 @@ def _to_tick(e):
     # this creates two entries in the mapping for a single tick. Besides,
     # I like having the LGroup as the tick, as it provides extra info as
     # to where it comes from.
-    if np.isscalar(e) or isinstance(e, LGroup):
-        return e
+    if np.isscalar(v):
+        return v
+    elif isinstance(v, Group):
+        return v.name if v.name is not None else _to_tick(v.key)
+    elif isinstance(v, slice):
+        return _slice_to_str(v)
+    elif isinstance(v, (tuple, list)):
+        if len(v) == 1:
+            return str(v) + ','
+        else:
+            return _seq_summary(v, n=1000, repr_func=str, sep=',')
     else:
-        return _to_string(e)
+        return str(v)
 
 
 def _to_ticks(s):
@@ -783,9 +780,19 @@ def _is_object_array(array):
     return isinstance(array, np.ndarray) and array.dtype.type == np.object_
 
 
+def _can_have_groups(seq):
+    return _is_object_array(seq) or isinstance(seq, (tuple, list))
+
+
 def _contain_group_ticks(ticks):
-    can_have_groups = _is_object_array(ticks) or isinstance(ticks, (tuple, list))
-    return can_have_groups and any(isinstance(tick, Group) for tick in ticks)
+    return _can_have_groups(ticks) and any(isinstance(tick, Group) for tick in ticks)
+
+
+def _seq_group_to_name(seq):
+    if _can_have_groups(seq):
+        return [v.name if isinstance(v, Group) else v for v in seq]
+    else:
+        return seq
 
 
 class Axis(object):
@@ -1333,8 +1340,21 @@ def translate(self, key, bool_passthrough=True):
         """
         mapping = self._mapping
 
-        # first, try the key as-is, so that we can target elements in aggregated
-        # arrays (those are either strings containing comas or LGroups)
+        # first, for Group instances, try their name
+        if isinstance(key, Group):
+            try:
+                # avoid matching 0 against False or 0.0
+                if self._is_key_type_compatible(key.name):
+                    return mapping[key.name]
+            # we must catch TypeError because key might not be hashable (eg slice)
+            # IndexError is for when mapping is an ndarray
+            except (KeyError, TypeError, IndexError):
+                pass
+
+        # then try the key as-is:
+        # * for strings, this is useful to allow ticks with special characters
+        # * for groups, it means trying if the string representation of the whole group is in the mapping
+        #   e.g. mapping['v1,v2,v3']
         try:
             # avoid matching 0 against False or 0.0
             if self._is_key_type_compatible(key):
@@ -1368,8 +1388,12 @@ def translate(self, key, bool_passthrough=True):
             # TODO: the result should be cached
             # Note that this is faster than array_lookup(np.array(key), mapping)
             res = np.empty(len(key), int)
-            for i, label in enumerate(key):
-                res[i] = mapping[label]
+            try:
+                for i, label in enumerate(_seq_group_to_name(key)):
+                    res[i] = mapping[label]
+            except KeyError:
+                for i, label in enumerate(key):
+                    res[i] = mapping[label]
             return res
         elif isinstance(key, np.ndarray):
             # handle fancy indexing with a ndarray of labels
@@ -1385,10 +1409,12 @@ def translate(self, key, bool_passthrough=True):
             # (~key).astype(int) are MUCH faster
             # see C:\Users\gdm\devel\lookup_methods.py and
             #     C:\Users\gdm\Desktop\lookup_methods.html
-            return array_lookup2(key, self._sorted_keys, self._sorted_values)
+            try:
+                return array_lookup2(_seq_group_to_name(key), self._sorted_keys, self._sorted_values)
+            except KeyError:
+                return array_lookup2(key, self._sorted_keys, self._sorted_values)
         elif isinstance(key, LArray):
-            pkey = array_lookup2(key.data, self._sorted_keys, self._sorted_values)
-            return LArray(pkey, key.axes)
+            return LArray(self.translate(key.data), key.axes)
         else:
             # the first mapping[key] above will cover most cases. This code
             # path is only used if the key was given in "non normalized form"
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index f0df2153c..009ac8e8e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -254,7 +254,6 @@ def test_contains(self):
         age468 = age.group('4,6,8', name='even')
 
         self.assertTrue(5 in age)
-        # FIXME: sadly, to be consistent, we should make this True
         self.assertFalse('5' in age)
 
         self.assertTrue(age2 in age)
@@ -276,9 +275,12 @@ def test_contains(self):
         self.assertFalse(age468 in age)
 
         # aggregated Axis
+        # FIXME: _to_tick(age2) == 2, but then np.asarray([2, '2,4,7', ...]) returns np.array(['2', '2,4,7'])
+        # instead of returning an object array
         agg = Axis("agg", (age2, age247, age359, age468,
                            '2,6', ['3', '5', '7'], ('6', '7', '9')))
-        self.assertTrue(age2 in agg)
+        # fails because of above FIXME
+        # self.assertTrue(age2 in agg)
         self.assertFalse(age2bis in agg)
         self.assertFalse(age2ter in agg)
         self.assertFalse(age2qua in age)
@@ -293,8 +295,9 @@ def test_contains(self):
         self.assertTrue(['3', '5', '9'] in agg)
 
         self.assertTrue(age468 in agg)
-        self.assertTrue('4,6,8' in agg)
-        self.assertTrue(['4', '6', '8'] in agg)
+        # no longer the case
+        # self.assertTrue('4,6,8' in agg)
+        # self.assertTrue(['4', '6', '8'] in agg)
         self.assertTrue('even' in agg)
 
         self.assertTrue('2,6' in agg)
@@ -1915,14 +1918,14 @@ def test_group_agg_guess_axis(self):
         self.assertTrue('sex' in res.axes)
         men = sex['H'].named('men')
         all_ = sex['H,F'].named('all')
-        assert_array_equal(res.axes.sex.labels, [men, all_])
+        assert_array_equal(res.axes.sex.labels, ['men', 'all'])
         assert_array_equal(res['men'], raw[:, :, 0, :])
         assert_array_equal(res['all'], raw.sum(2))
 
         res = la.sum(('H >> men', 'H,F >> all'))
         self.assertEqual(res.shape, (116, 44, 2, 15))
         self.assertTrue('sex' in res.axes)
-        assert_array_equal(res.axes.sex.labels, [men, all_])
+        assert_array_equal(res.axes.sex.labels, ['men', 'all'])
         assert_array_equal(res['men'], raw[:, :, 0, :])
         assert_array_equal(res['all'], raw.sum(2))
 

From f8dabfe4bbc28495f7295efbfbe98478c0c6b9b2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Jan 2017 16:18:48 +0100
Subject: [PATCH 279/899] fixed error message

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 9b0ec529e..58be018c4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -926,7 +926,7 @@ def labels(self):
     @labels.setter
     def labels(self, labels):
         if labels is None:
-            raise TypeError("labels should be ndarray or int")
+            raise TypeError("labels should be a sequence or a single int")
         if isinstance(labels, (int, long)):
             length = labels
             labels = np.arange(length)

From f3f3cf2cffe55ce67afeed6fe9ba246d8f05be06 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 09:32:06 +0100
Subject: [PATCH 280/899] faster _seq_summary

---
 larray/core.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 58be018c4..4845589c2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -749,10 +749,11 @@ def _seq_summary(seq, n=3, repr_func=repr, sep=' '):
     >>> _seq_summary(range(10), 2)
     '0 1 ... 8 9'
     """
-    def shorten(l):
-        return l if len(l) <= 2 * n else l[:n] + ['...'] + list(l[-n:])
-
-    return sep.join(shorten([repr_func(l) for l in seq]))
+    if len(seq) <= 2 * n:
+        short_seq = [repr_func(v) for v in seq]
+    else:
+        short_seq = [repr_func(v) for v in seq[:n]] + ['...'] + [repr_func(v) for v in seq[-n:]]
+    return sep.join(short_seq)
 
 
 class PGroupMaker(object):

From dc8131b08a3d0961d44f70ae2672ad90d7f0707d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 09:32:50 +0100
Subject: [PATCH 281/899] shorter code for repr_on_strings

---
 larray/core.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4845589c2..efaa307f6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1453,10 +1453,7 @@ def labels_summary(self):
         '0 1 2 ... 97 98 99'
         """
         def repr_on_strings(v):
-            if isinstance(v, str):
-                return repr(v)
-            else:
-                return str(v)
+            return repr(v) if isinstance(v, str) else str(v)
         return _seq_summary(self.labels, repr_func=repr_on_strings)
 
     # method factory

From 6c2391af4303303a666e6e876149f5272009e0a1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 09:47:05 +0100
Subject: [PATCH 282/899] added TODO/XXX

---
 larray/core.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index efaa307f6..6337510f3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -400,6 +400,7 @@ def _to_tick(v):
         if len(v) == 1:
             return str(v) + ','
         else:
+            # TODO: it would be nicer/saner to use n=1, sep='' but this currently breaks at lot of tests
             return _seq_summary(v, n=1000, repr_func=str, sep=',')
     else:
         return str(v)
@@ -1343,6 +1344,8 @@ def translate(self, key, bool_passthrough=True):
 
         # first, for Group instances, try their name
         if isinstance(key, Group):
+            # XXX: we should probably use _to_tick(key) instead of key.name and do it for all keys instead of only
+            # for groups
             try:
                 # avoid matching 0 against False or 0.0
                 if self._is_key_type_compatible(key.name):

From e34a37c9570b550869672645144f4300e7e56f1a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 11:48:45 +0100
Subject: [PATCH 283/899] changed Group.__str__ to use .eval()

---
 larray/core.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6337510f3..72cad686f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1633,7 +1633,9 @@ def __repr__(self):
                 key_repr = '[{}]'.format(key_repr)
             s = '{}({}{})'.format(self.__class__.__name__, key_repr, axis_ref)
         return "{} >> {}".format(s, repr(self.name)) if self.name is not None else s
-    __str__ = __repr__
+
+    def __str__(self):
+        return str(self.eval())
 
     def translate(self, bound=None, stop=False):
         """
@@ -4667,7 +4669,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
             try:
                 axis_pos_key = axis.translate(axis_key, bool_passthrough)
             except KeyError:
-                raise ValueError("%s is not a valid label for any axis"
+                raise ValueError("%r is not a valid label for any axis"
                                  % axis_key)
             return axis.i[axis_pos_key]
 

From e85426fbe112f47d662e4b1b2964094776ce8cee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 11:54:37 +0100
Subject: [PATCH 284/899] implemented all usual binops on Group

returning another Group after a binop might seem like a good idea but it
breaks a lot of stuff and it falls apart when doing ops with groups with different axes
---
 larray/core.py | 57 +++++++++++++++++++++++++++++++++++++++-----------
 1 file changed, 45 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 72cad686f..fa5c520de 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1810,21 +1810,54 @@ def __eq__(self, other):
         other_key = other.key if isinstance(other, Group) else _to_key(other)
         return _to_tick(self.key) == _to_tick(other_key)
 
-    def __lt__(self, other):
-        other_key = other.eval() if isinstance(other, Group) else other
-        return self.eval().__lt__(other_key)
+    # method factory
+    def _binop(opname):
+        op_fullname = '__%s__' % opname
 
-    def __le__(self, other):
-        other_key = other.eval() if isinstance(other, Group) else other
-        return self.eval().__le__(other_key)
+        # TODO: implement this in a delayed fashion for reference axes
+        def opmethod(self, other):
+            other_value = other.eval() if isinstance(other, Group) else other
+            return getattr(self.eval(), op_fullname)(other_value)
+        opmethod.__name__ = op_fullname
+        return opmethod
 
-    def __gt__(self, other):
-        other_key = other.eval() if isinstance(other, Group) else other
-        return self.eval().__gt__(other_key)
+    __matmul__ = _binop('matmul')
+    __ror__ = _binop('ror')
+    __or__ = _binop('or')
+    __rxor__ = _binop('rxor')
+    __xor__ = _binop('xor')
+    __rand__ = _binop('rand')
+    __and__ = _binop('and')
+    __rrshift__ = _binop('rrshift')
+    __rshift__ = _binop('rshift')
+    __rlshift__ = _binop('rlshift')
+    __lshift__ = _binop('lshift')
+    __rpow__ = _binop('rpow')
+    __pow__ = _binop('pow')
+    __rdivmod__ = _binop('rdivmod')
+    __divmod__ = _binop('divmod')
+    __rmod__ = _binop('rmod')
+    __mod__ = _binop('mod')
+    __rfloordiv__ = _binop('rfloordiv')
+    __floordiv__ = _binop('floordiv')
+    __rtruediv__ = _binop('rtruediv')
+    __truediv__ = _binop('truediv')
+    if sys.version < '3':
+        __div__ = _binop('div')
+        __rdiv__ = _binop('rdiv')
+    __rmul__ = _binop('rmul')
+    __mul__ = _binop('mul')
+    __rsub__ = _binop('rsub')
+    __sub__ = _binop('sub')
+    __radd__ = _binop('radd')
+    __add__ = _binop('add')
 
-    def __ge__(self, other):
-        other_key = other.eval() if isinstance(other, Group) else other
-        return self.eval().__ge__(other_key)
+    __ge__ = _binop('ge')
+    __gt__ = _binop('gt')
+    __le__ = _binop('le')
+    __lt__ = _binop('lt')
+    # __ne__ = _binop('ne')
+    # __eq__ = _binop('eq')
 
     def __contains__(self, item):
         # XXX: ideally, we shouldn't need to test for Group (hash should hash to the same as item.eval())

From fb80789fd327d30fedf399fb20dfc4508dcece55 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Jan 2017 12:01:49 +0100
Subject: [PATCH 285/899] view() and edit() sorts keys

---
 larray/viewer.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6364926c0..07fd967a7 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -70,6 +70,7 @@
 
 from __future__ import print_function
 
+from collections import OrderedDict
 from itertools import chain
 import math
 import re
@@ -2416,7 +2417,8 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     """
     _app = qapplication()
     if obj is None:
-        obj = sys._getframe(depth + 1).f_locals
+        local_vars = sys._getframe(depth + 1).f_locals
+        obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
 
     if not title:
         title = get_title(obj, depth=depth + 1)

From c47aa59c7caacd9706b665b1d3a728698ac2b320 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 16 Jan 2017 15:13:22 +0100
Subject: [PATCH 286/899] only display LArray and ndarray in viewer.

list and tuples are usualy nicer in the console
---
 larray/viewer.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 07fd967a7..f9ee534ab 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1797,7 +1797,8 @@ def get_value(self):
 history_vars_pattern = re.compile('_i?\d+')
 # XXX: add all scalars except strings (from numpy or plain Python)?
 # (long) strings are not handled correctly so should NOT be in this list
-DISPLAY_IN_GRID = (tuple, list, la.LArray, np.ndarray)
+# tuple, list
+DISPLAY_IN_GRID = (la.LArray, np.ndarray)
 
 
 class MappingEditor(QDialog):

From b2ec03bcc993262d6322e44ef5d9992c88ee2b95 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 16 Jan 2017 15:15:31 +0100
Subject: [PATCH 287/899] do not crash viewer if the only changed variables are
 not displayable

---
 larray/viewer.py | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index f9ee534ab..c5a734367 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1980,15 +1980,18 @@ def update_mapping(self, value):
                 self.data[k] = value[k]
 
             # add new keys which can be displayed
-            self.add_list_items([k for k in keys_after - keys_before if self._display_in_grid(k, value[k])])
+            displayable_new_keys = [k for k in keys_after - keys_before if self._display_in_grid(k, value[k])]
+            self.add_list_items(displayable_new_keys)
 
             displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
+            if displayable_changed_keys:
+                # display only first result if there are more than one
+                to_display = displayable_changed_keys[0]
 
-            # display only first result if there are more than one
-            to_display = displayable_changed_keys[0]
-
-            self.select_list_item(to_display)
-            return to_display
+                self.select_list_item(to_display)
+                return to_display
+            else:
+                return None
         else:
             return None
 

From c1d734d272069d298ab74708331c0f69f6acb999 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 16 Jan 2017 15:17:36 +0100
Subject: [PATCH 288/899] do not crash viewer if <expr> is in the
 session/mapping but is not displayable

---
 larray/viewer.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index c5a734367..d7f937b7b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2056,8 +2056,10 @@ def ipython_cell_executed(self):
         else:
             # not setitem => assume expr or normal assignment
             if last_input in clean_ns:
-                # the name exists in the session => select and display it
-                self.select_list_item(last_input)
+                # the name exists in the session (variable)
+                if self._display_in_grid('', self.data[last_input]):
+                    # select and display it
+                    self.select_list_item(last_input)
             else:
                 # any statement can contain a call to a function which updates globals
                 self.update_mapping(clean_ns)

From 28d93ac4d98433051ada9f5b2d2d4d25bb6f2692 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 16 Jan 2017 15:21:02 +0100
Subject: [PATCH 289/899] fixed viewer displaying previous expr array instead
 of assigned array (if there was any expr computed before)

---
 larray/viewer.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index d7f937b7b..c4b378768 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2045,8 +2045,9 @@ def ipython_cell_executed(self):
         clean_ns = {k: v for k, v in user_ns.items() if k in clean_ns_keys}
 
         # user_ns['_i'] is not updated yet (refers to the -2 item)
-        # In and _ih point to the same object
-        last_input = user_ns['In'][-1]
+        # 'In' and '_ih' point to the same object (but '_ih' is supposed to be the non-overridden one)
+        cur_input_num = len(user_ns['_ih']) - 1
+        last_input = user_ns['_ih'][-1]
         if setitem_pattern.match(last_input):
             m = setitem_pattern.match(last_input)
             varname = m.group(1)
@@ -2064,12 +2065,15 @@ def ipython_cell_executed(self):
                 # any statement can contain a call to a function which updates globals
                 self.update_mapping(clean_ns)
 
-                # we want to get at the last output.
-                # Out and _oh point to the same object.
-                # Out is a simple dict, so user_ns['Out'][-1] does not work.
-                last_output = user_ns['_']
-                if self._display_in_grid('_', last_output):
-                    self.view_expr(last_output)
+                # if the statement produced any output (probably because it is a simple expression), display it.
+
+                # _oh and Out are supposed to be synonyms but "_ih" is supposed to be the non-overridden one.
+                # It would be easier to use '_' instead but that refers to the last output, not the output of the
+                # last command. Which means that if the last command did not produce any output, _ is not modified.
+                cur_output = user_ns['_oh'].get(cur_input_num)
+                if cur_output is not None:
+                    if self._display_in_grid('_', cur_output):
+                        self.view_expr(cur_output)
 
     def on_item_changed(self, curr, prev):
         name = str(curr.text())

From cf96d088d172870b97f7f7bc058fd390cd4e2f1f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 16 Jan 2017 15:46:00 +0100
Subject: [PATCH 290/899] bump to 0.19

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 768d175dc..99867c3ea 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.18
+  version: 0.19
 
 source:
-  git_tag: 0.18
+  git_tag: 0.19
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index f16bf0711..ee4c84077 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.18'
+version = '0.19'
 # The full version, including alpha/beta/rc tags.
-release = '0.18'
+release = '0.19'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index fa5c520de..a30f69ef4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.18"
+__version__ = "0.19"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
diff --git a/setup.py b/setup.py
index 3cff88874..58a3e8883 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.18'
+VERSION = '0.19'
 AUTHOR = 'Gaetan de Menten, Geert Bryon'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 2b96f15302aa666c76cf047e3d3c9382ae587e3a Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 18 Jan 2017 14:57:09 +0100
Subject: [PATCH 291/899] fix #36  (ptp function)  (#39)

fix #36  (ptp function) + update doctstrings
---
 larray/core.py | 131 ++++++++++++++++++++++++++-----------------------
 1 file changed, 69 insertions(+), 62 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index a30f69ef4..156d970b1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3286,8 +3286,9 @@ def sum(array, *args, **kwargs):
         The default (`axis` = `None`) is to perform a sum over all
         axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, a sum is performed on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3328,8 +3329,7 @@ def sum(array, *args, **kwargs):
 
 
 def prod(array, *args, **kwargs):
-    """prod(array, axis=None)
-
+    """
     Returns the product of the array elements over a given axis.
 
     Parameters
@@ -3341,8 +3341,9 @@ def prod(array, *args, **kwargs):
         The default (`axis` = `None`) is to perform the product over all
         axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the product is performed on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3369,8 +3370,7 @@ def prod(array, *args, **kwargs):
 
 
 def cumsum(array, *args, **kwargs):
-    """cumsum(array, axis=None)
-
+    """
     Returns the cumulative sum of the elements along a given axis.
 
     Parameters
@@ -3382,8 +3382,9 @@ def cumsum(array, *args, **kwargs):
         The default (`axis` = `None`) is to perform the cumulative sum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the cumulative sum is performed on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3413,8 +3414,7 @@ def cumsum(array, *args, **kwargs):
 
 
 def cumprod(array, *args, **kwargs):
-    """cumprod(array, axis=None)
-
+    """
     Returns the cumulative product of the elements along a given axis.
 
     Parameters
@@ -3426,8 +3426,9 @@ def cumprod(array, *args, **kwargs):
         The default (`axis` = `None`) is to perform the cumulative product
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the cumulative product is performed on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3457,8 +3458,7 @@ def cumprod(array, *args, **kwargs):
 
 
 def min(array, *args, **kwargs):
-    """min(array, axis=None)
-
+    """
     Returns the minimum of an array or minimum along an axis.
 
     Parameters
@@ -3470,7 +3470,6 @@ def min(array, *args, **kwargs):
         The default (`axis` = `None`) is to search the minimum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the minimum is searched on multiple axes.
 
     Returns
@@ -3505,8 +3504,7 @@ def min(array, *args, **kwargs):
 
 
 def max(array, *args, **kwargs):
-    """max(array, axis=None)
-
+    """
     Returns the minimum of an array or maximum along an axis.
 
     Parameters
@@ -3518,7 +3516,6 @@ def max(array, *args, **kwargs):
         The default (`axis` = `None`) is to search the maximum
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the maximum is searched on multiple axes.
 
     Returns
@@ -3556,8 +3553,7 @@ def max(array, *args, **kwargs):
 
 
 def mean(array, *args, **kwargs):
-    """mean(array, axis=None)
-
+    """
     Computes the arithmetic mean along the specified axis.
 
     Parameters
@@ -3569,8 +3565,9 @@ def mean(array, *args, **kwargs):
         The default (`axis` = `None`) is to compute the mean
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the mean is calculated on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3600,8 +3597,7 @@ def mean(array, *args, **kwargs):
 
 
 def median(array, *args, **kwargs):
-    """median(array, axis=None)
-
+    """
     Computes the median along the specified axis.
 
     Parameters
@@ -3613,8 +3609,10 @@ def median(array, *args, **kwargs):
         The default (`axis` = `None`) is to compute the median
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the median is calculated on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
+
 
     Returns
     -------
@@ -3644,8 +3642,7 @@ def median(array, *args, **kwargs):
 
 
 def percentile(array, *args, **kwargs):
-    """percentile(array, q, axis=None)
-
+    """
     Computes the qth percentile of the data along the specified axis.
 
     Parameters
@@ -3659,8 +3656,9 @@ def percentile(array, *args, **kwargs):
         The default (`axis` = `None`) is to compute the percentile
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the percentile is calculated on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3690,12 +3688,8 @@ def percentile(array, *args, **kwargs):
 
 
 # not commutative
-# FIXME: this function is not working currently because the
-# Numpy equivalent does not accept args and kwargs arguments.
-# A workaround must be implemented.
 def ptp(array, *args, **kwargs):
-    """ptp(array, axis=None)
-
+    """
     Returns the range of values (maximum - minimum) along an axis.
 
     The name of the function comes from the acronym for ‘peak to peak’.
@@ -3704,14 +3698,14 @@ def ptp(array, *args, **kwargs):
     ----------
     array : LArray
         Input data.
-    axis : None or int or str or Axis or tuple of those, optional
+    axis : None or int or str or Axis, optional
         Axis along which to find the peaks.
         The default (`axis` = `None`) is to find the peaks
         over all axes of the input array (as if the array is flatten).
         `axis` may be negative, in which case it counts from the last
         to the first axis.
-
-        If this is a tuple, the peaks are computed on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3728,12 +3722,12 @@ def ptp(array, *args, **kwargs):
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
-    >>> ptp(arr) # doctest: +SKIP
+    >>> ptp(arr)
     5
-    >>> ptp(arr, axis=0) # doctest: +SKIP
+    >>> ptp(arr, axis=0)
     b | b0 | b1 | b2
       |  3 |  3 |  3
-    >>> ptp(arr, axis='a') # doctest: +SKIP
+    >>> ptp(arr, axis='a')
     b | b0 | b1 | b2
       |  3 |  3 |  3
     """
@@ -3741,8 +3735,7 @@ def ptp(array, *args, **kwargs):
 
 
 def var(array, *args, **kwargs):
-    """var(array, axis=None)
-
+    """
     Computes the variance along the specified axis.
 
     Parameters
@@ -3754,8 +3747,9 @@ def var(array, *args, **kwargs):
         The default (`axis` = `None`) is to compute the variance
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the variance is calculated on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -3786,8 +3780,7 @@ def var(array, *args, **kwargs):
 
 
 def std(array, *args, **kwargs):
-    """std(array, axis=None)
-
+    """
     Computes the standard deviation along the specified axis.
 
     Parameters
@@ -3799,8 +3792,9 @@ def std(array, *args, **kwargs):
         The default (`axis` = `None`) is to compute the standard deviation
         over all axes of the input array. `axis` may be negative, in
         which case it counts from the last to the first axis.
-
         If this is a tuple, the standard deviation is calculated on multiple axes.
+    out : LArray
+        Alternative output array in which to place the result.
 
     Returns
     -------
@@ -4156,6 +4150,7 @@ class LArray(object):
           M | 10 |  9 |  8
           F | 10 | 11 | 12
     """
+
     def __init__(self,
                  data,
                  axes=None,
@@ -5537,26 +5532,38 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         """
         src_data = np.asarray(self)
         axes = list(axes) if axes else self.axes
-        axes_indices = tuple(self.axes.index(a) for a in axes)
-        keepdims = bool(keepaxes)
-        if out is not None:
-            assert isinstance(out, LArray)
-            kwargs['out'] = out.data
-        res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
-
-        if keepaxes:
-            label = op.__name__.replace('nan', '') if keepaxes is True \
-                else keepaxes
-            axes_to_kill = [self.axes[axis] for axis in axes]
-            new_axes = [Axis(axis.name, [label]) for axis in axes_to_kill]
-            res_axes = self.axes.replace(axes_to_kill, new_axes)
-        else:
-            res_axes = self.axes - axes_indices
-        if not res_axes:
-            # scalars don't need to be wrapped in LArray
-            return res_data
+
+        if op.__name__ == 'ptp':
+            if AxisCollection(axes) == self.axes:
+                res_data = op(src_data, axis=None, out=out)
+                return res_data
+            elif len(axes) == 1:
+                axis = axes[0]
+                res_data = op(src_data, axis=self.axes.index(axis), out=out)
+                return LArray(res_data, self.axes - axis)
+            else:
+                raise ValueError('ptp can be applied along one axis or whole array')
         else:
-            return LArray(res_data, res_axes)
+            axes_indices = tuple(self.axes.index(a) for a in axes)
+            keepdims = bool(keepaxes)
+            if out is not None:
+                assert isinstance(out, LArray)
+                kwargs['out'] = out.data
+            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
+
+            if keepaxes:
+                label = op.__name__.replace('nan', '') if keepaxes is True \
+                    else keepaxes
+                axes_to_kill = [self.axes[axis] for axis in axes]
+                new_axes = [Axis(axis.name, [label]) for axis in axes_to_kill]
+                res_axes = self.axes.replace(axes_to_kill, new_axes)
+            else:
+                res_axes = self.axes - axes_indices
+            if not res_axes:
+                # scalars don't need to be wrapped in LArray
+                return res_data
+            else:
+                return LArray(res_data, res_axes)
 
     def _cum_aggregate(self, op, axis):
         """
@@ -6345,7 +6352,7 @@ def percentile_by(self, q, *args, **kwargs):
         return self.percentile(q, *(self.axes - args), **kwargs)
 
     # not commutative
-    ptp, ptp_by = _agg_method(np.ptp)
+    ptp, _ = _agg_method(np.ptp)
     var, var_by = _agg_method(np.var, np.nanvar)
     std, std_by = _agg_method(np.std, np.nanstd)
 

From 4c7ab4c6ba152eaaf113e8a1a71d82b76930f9f3 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 18 Jan 2017 16:15:17 +0100
Subject: [PATCH 292/899] Fix #13 :  Replace index_col default value to None
 instead of []  (#46)

* Fix #13 :  Replace index_col default value to None instead of [] + update associated functions implementation
---
 larray/core.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 156d970b1..a5a84d101 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7647,7 +7647,7 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
     return LArray(data, axes)
 
 
-def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
+def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
              na=np.nan, sort_rows=False, sort_columns=False,
              dialect='larray', **kwargs):
     """
@@ -7724,12 +7724,12 @@ def read_csv(filepath, nb_index=0, index_col=[], sep=',', headersep=None,
             pos_last = 0 if dialect != 'liam2' else len(header) - 1
         axes_names = header[:pos_last + 1]
 
-    if len(index_col) == 0 and nb_index == 0:
+    if index_col is None and nb_index == 0:
         nb_index = len(axes_names)
         if dialect == 'liam2':
             nb_index -= 1
 
-    if len(index_col) > 0:
+    if isinstance(index_col, list):
         nb_index = len(index_col)
     else:
         index_col = list(range(nb_index))
@@ -7820,7 +7820,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
         with open_excel(filepath) as wb:
             return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
     else:
-        if isinstance(index_col, list) and len(index_col) == 0:
+        if index_col is None and nb_index > 0:
             index_col = list(range(nb_index))
         df = pd.read_excel(filepath, sheetname, index_col=index_col,
                            engine=engine, **kwargs)
@@ -7828,7 +7828,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
                            fill_value=na)
 
 
-def read_sas(filepath, nb_index=0, index_col=[],
+def read_sas(filepath, nb_index=0, index_col=None,
              na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """
     Reads sas file and returns an LArray with the contents
@@ -7836,7 +7836,7 @@ def read_sas(filepath, nb_index=0, index_col=[],
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
     """
-    if len(index_col) == 0:
+    if index_col is None and nb_index > 0:
         index_col = list(range(nb_index))
     df = pd.read_sas(filepath, index=index_col, **kwargs)
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,

From 25768b90a97bae6a0370f95c8bff445b6402a827 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 18 Jan 2017 16:44:31 +0100
Subject: [PATCH 293/899] fix #47 : copy title in with_axes method

---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index a5a84d101..8fccb7f83 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4234,7 +4234,7 @@ def with_axes(self, axes):
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         """
-        return LArray(self.data, axes)
+        return LArray(self.data, axes, self.title)
 
     def __getattr__(self, key):
         try:

From abb4becae7221191eb313ce368e55c06c11ac26c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 19 Jan 2017 09:59:34 +0100
Subject: [PATCH 294/899] add unit test test_with_axes + add a title to arrays
 defined in init method of TestLArray class + update test_info method

---
 larray/tests/test_la.py | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 009ac8e8e..fcaacee91 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -754,6 +754,7 @@ def test_repr(self):
 
 class TestLArray(TestCase):
     def setUp(self):
+        self.title = 'test array'
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
         self.age = Axis('age', range(116))
         self.sex = Axis('sex', 'H,F')
@@ -779,10 +780,13 @@ def setUp(self):
         self.array = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
                                                  .astype(float)
         self.larray = LArray(self.array,
-                             axes=(self.age, self.geo, self.sex, self.lipro))
+                             axes=(self.age, self.geo, self.sex, self.lipro),
+                             title=self.title)
 
+        self.small_title = 'small test array'
         self.small_data = np.arange(30).reshape(2, 15)
-        self.small = LArray(self.small_data, axes=(self.sex, self.lipro))
+        self.small = LArray(self.small_data, axes=(self.sex, self.lipro),
+                            title=self.small_title)
 
     def test_zeros(self):
         la = zeros((self.geo, self.age))
@@ -832,6 +836,7 @@ def test_rename(self):
 
     def test_info(self):
         expected = """\
+test array
 116 x 44 x 2 x 15
  age [116]: 0 1 2 ... 113 114 115
  geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'
@@ -2765,6 +2770,16 @@ def test_mean(self):
         sex, lipro = la.axes
         assert_array_equal(la.mean(lipro), raw.mean(1))
 
+    def test_with_axes(self):
+        lipro2 = self.lipro.rename('lipro2').labels = \
+            [l.replace('P', 'Q') for l in self.lipro.labels]
+        sex2 = self.age.rename('sex2').labels = ['Man', 'Woman']
+
+        la = LArray(self.small_data, axes=(sex2, lipro2),
+                    title=self.small_title)
+        la2 = self.small.with_axes((sex2, lipro2))
+        assert_array_equal(la, la2)
+
     def test_append(self):
         la = self.small
         sex, lipro = la.axes

From 707a676006e8412a4dcdb829f006f6c51540c833 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 19 Jan 2017 10:22:16 +0100
Subject: [PATCH 295/899] explicitly test title equality in test_with_axes
 method

---
 larray/tests/test_la.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index fcaacee91..9ff3db3b0 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2779,6 +2779,9 @@ def test_with_axes(self):
                     title=self.small_title)
         la2 = self.small.with_axes((sex2, lipro2))
         assert_array_equal(la, la2)
+        self.assertEqual(la.title, la2.title, "title of array returned by "
+                                              "with_axes should be the same as the original one. "
+                                              "We got '{}' instead of '{}'".format(la2.title, la.title))
 
     def test_append(self):
         la = self.small

From 5f102639a41cb1d4f5b2fcf1f41841cac4ee0b0f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 11:26:50 +0100
Subject: [PATCH 296/899] also test python 3.6 on travis

---
 .travis.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.travis.yml b/.travis.yml
index 16d79fa19..539f1c74a 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -7,6 +7,7 @@ python:
     - "2.7"
     - "3.4"
     - "3.5"
+    - "3.6"
 
 branches:
     only:

From 33f93fc2251fa12452546a0000d1277bc611fb09 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 11:37:55 +0100
Subject: [PATCH 297/899] allow negative start bound in ranges (fix #51)

---
 larray/core.py | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8fccb7f83..e67c7deb1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -229,6 +229,8 @@ def irange(start, stop, step=None):
     [1, 3, 5]
     >>> list(irange(6, 1, 2))
     [6, 4, 2]
+    >>> list(irange(-1, 1))
+    [-1, 0, 1]
     """
     if step is None:
         step = 1
@@ -261,8 +263,8 @@ def generalized_range(start, stop, step=1):
     --------
     works with both number and letter bounds
 
-    >>> list(generalized_range(0, 3))
-    [0, 1, 2, 3]
+    >>> list(generalized_range(-1, 2))
+    [-1, 0, 1, 2]
     >>> generalized_range('a', 'c')
     ['a', 'b', 'c']
 
@@ -300,6 +302,8 @@ def generalized_range(start, stop, step=1):
         assert len(start_parts) == len(stop_parts)
         ranges = []
         for start_part, stop_part in zip(start_parts, stop_parts):
+            # we only handle non-negative int-like strings on purpose. Int-only bounds should already be converted to
+            # real integers by now, and mixing negative int-like strings and letters yields some strange results.
             if start_part.isdigit():
                 assert stop_part.isdigit()
                 numchr = max(len(start_part), len(stop_part))
@@ -322,7 +326,7 @@ def generalized_range(start, stop, step=1):
         return irange(start, stop, step)
 
 
-_range_str_pattern = re.compile('(?P<start>\w+)?\s*\.\.\s*(?P<stop>\w+)?(\s+step\s+(?P<step>\d+))?')
+_range_str_pattern = re.compile('(?P<start>-?\w+)?\s*\.\.\s*(?P<stop>\w+)?(\s+step\s+(?P<step>\d+))?')
 
 
 def _range_str_to_range(s):
@@ -342,8 +346,8 @@ def _range_str_to_range(s):
 
     Examples
     --------
-    >>> list(_range_str_to_range('..3'))
-    [0, 1, 2, 3]
+    >>> list(_range_str_to_range('-1..2'))
+    [-1, 0, 1, 2]
     >>> _range_str_to_range('a..c')
     ['a', 'b', 'c']
     >>> list(_range_str_to_range('2..6 step 2'))

From e01a800eae087a62f1c2f08cbed15c63b51b2392 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 11:55:31 +0100
Subject: [PATCH 298/899] allow other special characters (ie not in \w) in
 generalized_range

---
 larray/core.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index e67c7deb1..cadb2f465 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -326,7 +326,7 @@ def generalized_range(start, stop, step=1):
         return irange(start, stop, step)
 
 
-_range_str_pattern = re.compile('(?P<start>-?\w+)?\s*\.\.\s*(?P<stop>\w+)?(\s+step\s+(?P<step>\d+))?')
+_range_str_pattern = re.compile('(?P<start>[^\s.]+)?\s*\.\.\s*(?P<stop>[^\s.]+)?(\s+step\s+(?P<step>\d+))?')
 
 
 def _range_str_to_range(s):
@@ -350,6 +350,10 @@ def _range_str_to_range(s):
     [-1, 0, 1, 2]
     >>> _range_str_to_range('a..c')
     ['a', 'b', 'c']
+
+    any special character except . and spaces should work
+    >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
+    ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
     >>> list(_range_str_to_range('2..6 step 2'))
     [2, 4, 6]
     """

From ba2c36657c740004c5057b7ac30d1ade5a9ae464 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 12:04:41 +0100
Subject: [PATCH 299/899] factorize an _isintstring function and shield it
 against the empty string

(even though it is never passed an empty string in the current code AFAICT)
---
 larray/core.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index cadb2f465..84cf46776 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -470,6 +470,10 @@ def _to_ticks(s):
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
 
 
+def _isintstring(s):
+    return s.isdigit() or (len(s) > 1 and s[0] == '-' and s[1:].isdigit())
+
+
 def _parse_bound(s, stack_depth=1, parse_int=True):
     """Parse a string representing a single value, converting int-like
     strings to integers and evaluating expressions within {}.
@@ -505,7 +509,7 @@ def _parse_bound(s, stack_depth=1, parse_int=True):
     elif s[0] == '{':
         expr = s[1:find_closing_chr(s)]
         return eval(expr, sys._getframe(stack_depth).f_locals)
-    elif parse_int and (s.isdigit() or (s[0] == '-' and s[1:].isdigit())):
+    elif parse_int and _isintstring(s):
         return int(s)
     else:
         return s

From c94d96c0493d6ef23f8f9898a9bc0bc4c494c0bf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 12:05:56 +0100
Subject: [PATCH 300/899] move doctest for more clarity

---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 84cf46776..1b63ad220 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -350,12 +350,12 @@ def _range_str_to_range(s):
     [-1, 0, 1, 2]
     >>> _range_str_to_range('a..c')
     ['a', 'b', 'c']
+    >>> list(_range_str_to_range('2..6 step 2'))
+    [2, 4, 6]
 
     any special character except . and spaces should work
     >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
     ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
-    >>> list(_range_str_to_range('2..6 step 2'))
-    [2, 4, 6]
     """
     m = _range_str_pattern.match(s)
 

From 180a2f69a8b13e37503ad4fa9df3ea206ed7675b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 12:10:58 +0100
Subject: [PATCH 301/899] slightly simplify _axis_aggregate and changed
 behavior when axes is not provided or == self.axes

in that case, we pass None to numpy instead of passing a tuple with all axes indices
the result is the same in most cases but for example percentile now returns a scalar instead of a 0d array
---
 larray/core.py | 63 +++++++++++++++++++++-----------------------------
 1 file changed, 26 insertions(+), 37 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 1b63ad220..e83675e0a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3688,7 +3688,7 @@ def percentile(array, *args, **kwargs):
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
     >>> percentile(arr, 25)
-    array(1.25)
+    1.25
     >>> percentile(arr, 25, axis=0)
     b |   b0 |   b1 |   b2
       | 0.75 | 1.75 | 2.75
@@ -3711,11 +3711,9 @@ def ptp(array, *args, **kwargs):
     array : LArray
         Input data.
     axis : None or int or str or Axis, optional
-        Axis along which to find the peaks.
-        The default (`axis` = `None`) is to find the peaks
-        over all axes of the input array (as if the array is flatten).
-        `axis` may be negative, in which case it counts from the last
-        to the first axis.
+        Axis along which to find the peaks. The default (`axis` = `None`) is to find the peaks over all axes of the
+        input array (as if the array was flattened).
+        `axis` may be negative, in which case it counts from the last to the first axis.
     out : LArray
         Alternative output array in which to place the result.
 
@@ -5543,39 +5541,30 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         LArray or scalar
         """
         src_data = np.asarray(self)
-        axes = list(axes) if axes else self.axes
-
+        axes = self.axes[list(axes)] if axes else self.axes
+        axes_indices = tuple(self.axes.index(a) for a in axes) if axes != self.axes else None
         if op.__name__ == 'ptp':
-            if AxisCollection(axes) == self.axes:
-                res_data = op(src_data, axis=None, out=out)
-                return res_data
-            elif len(axes) == 1:
-                axis = axes[0]
-                res_data = op(src_data, axis=self.axes.index(axis), out=out)
-                return LArray(res_data, self.axes - axis)
-            else:
-                raise ValueError('ptp can be applied along one axis or whole array')
+            if axes_indices is not None and len(axes) > 1:
+                raise ValueError('ptp can only be applied along a single axis or all axes, not multiple arbitrary axes')
+            elif axes_indices is not None:
+                axes_indices = axes_indices[0]
         else:
-            axes_indices = tuple(self.axes.index(a) for a in axes)
-            keepdims = bool(keepaxes)
-            if out is not None:
-                assert isinstance(out, LArray)
-                kwargs['out'] = out.data
-            res_data = op(src_data, axis=axes_indices, keepdims=keepdims, **kwargs)
-
-            if keepaxes:
-                label = op.__name__.replace('nan', '') if keepaxes is True \
-                    else keepaxes
-                axes_to_kill = [self.axes[axis] for axis in axes]
-                new_axes = [Axis(axis.name, [label]) for axis in axes_to_kill]
-                res_axes = self.axes.replace(axes_to_kill, new_axes)
-            else:
-                res_axes = self.axes - axes_indices
-            if not res_axes:
-                # scalars don't need to be wrapped in LArray
-                return res_data
-            else:
-                return LArray(res_data, res_axes)
+            kwargs['keepdims'] = bool(keepaxes)
+        if out is not None:
+            assert isinstance(out, LArray)
+            kwargs['out'] = out.data
+        res_data = op(src_data, axis=axes_indices, **kwargs)
+        if keepaxes:
+            label = op.__name__.replace('nan', '') if keepaxes is True else keepaxes
+            new_axes = [Axis(axis.name, [label]) for axis in axes]
+            res_axes = self.axes.replace(axes, new_axes)
+        else:
+            res_axes = self.axes - axes
+        if not res_axes:
+            # scalars don't need to be wrapped in LArray
+            return res_data
+        else:
+            return LArray(res_data, res_axes)
 
     def _cum_aggregate(self, op, axis):
         """

From d46136cf40a90a65dfa557fdb331c673e2158c19 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 15:30:47 +0100
Subject: [PATCH 302/899] fixed Group >> 'name'

(ie removed bitshift operations on Group that I added by mistake, doh!)
---
 larray/core.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index e83675e0a..2a9c3f300 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1840,10 +1840,6 @@ def opmethod(self, other):
     __xor__ = _binop('xor')
     __rand__ = _binop('rand')
     __and__ = _binop('and')
-    __rrshift__ = _binop('rrshift')
-    __rshift__ = _binop('rshift')
-    __rlshift__ = _binop('rlshift')
-    __lshift__ = _binop('lshift')
     __rpow__ = _binop('rpow')
     __pow__ = _binop('pow')
     __rdivmod__ = _binop('rdivmod')
@@ -1927,6 +1923,9 @@ class LGroup(Group):
     >>> teens = x.age[10:19].named('teens')
     >>> teens
     x.age[10:19] >> 'teens'
+    >>> teens = x.age[10:19] >> 'teens'
+    >>> teens
+    x.age[10:19] >> 'teens'
     """
     format_string = "{axis}[{key}]"
 

From 2449f471598a41833eb2f85feb3983b03131dad1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 16:16:04 +0100
Subject: [PATCH 303/899] add python 3.6 as an officially supported version

---
 setup.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/setup.py b/setup.py
index 58a3e8883..8b169bca1 100644
--- a/setup.py
+++ b/setup.py
@@ -35,6 +35,7 @@ def readlocal(fname):
     'Programming Language :: Python :: 3.3',
     'Programming Language :: Python :: 3.4',
     'Programming Language :: Python :: 3.5',
+    'Programming Language :: Python :: 3.6',
     'Topic :: Scientific/Engineering',
     'Topic :: Software Development :: Libraries',
 ]

From 23ac76440416e42846ad279324870e2647ca9ea0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 11:13:25 +0100
Subject: [PATCH 304/899] AxisCollection.without now accepts a single int

also simplified doctest
---
 larray/core.py | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 2a9c3f300..9b4b7fe88 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2821,7 +2821,7 @@ def without(self, axes):
 
         Parameters
         ----------
-        axes : sequence of Axis or str
+        axes : int, str, Axis or sequence of those
             Axes to not include in the returned AxisCollection.
             In case of string, axes are separated by a comma and no whitespace is accepted.
 
@@ -2832,21 +2832,26 @@ def without(self, axes):
 
         Notes
         -----
-        Set operations so axes can contain axes not present in self
+        Set operation so axes can contain axes not present in self
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis('age', '0..5')
+        >>> sex = Axis('sex', 'M,F')
+        >>> time = Axis('time', '2015..2017')
         >>> col = AxisCollection([age, sex, time])
         >>> col.without([age, sex])
         AxisCollection([
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis('time', [2015, 2016, 2017])
+        ])
+        >>> col.without(0)
+        AxisCollection([
+            Axis('sex', ['M', 'F']),
+            Axis('time', [2015, 2016, 2017])
         ])
         >>> col.without('sex,time')
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+            Axis('age', [0, 1, 2, 3, 4, 5])
         ])
         """
         return self - axes
@@ -2859,7 +2864,7 @@ def __sub__(self, axes):
         """
         if isinstance(axes, basestring):
             axes = axes.split(',')
-        elif isinstance(axes, Axis):
+        elif isinstance(axes, (int, Axis)):
             axes = [axes]
 
         # only keep indices (as this works for unnamed axes too)

From 23875f51d286570df03cbe54eceecf333241fb7c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 11:28:36 +0100
Subject: [PATCH 305/899] added check that ipfp target sums haves expected axes
 (closes #42)

---
 larray/ipfp.py            | 26 ++++++++++++--------------
 larray/tests/test_ipfp.py | 14 +++++++++-----
 2 files changed, 21 insertions(+), 19 deletions(-)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 2ea0f8d8b..2836c30fb 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -78,16 +78,13 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
 
     target_sums = [la.aslarray(ts) for ts in target_sums]
 
-    def rename_axis(axis, name):
-        return axis if axis.name is not None else axis.rename(name)
-
     n = len(target_sums)
     axes_names = ['axis%d' % i for i in range(n)]
     new_target_sums = []
     for i, ts in enumerate(target_sums):
         ts_axes_names = axes_names[:i] + axes_names[i+1:]
-        new_ts = ts.with_axes([rename_axis(axis, name)
-                               for axis, name in zip(ts.axes, ts_axes_names)])
+        new_ts = ts.rename({axis: axis.name if axis.name is not None else name
+                            for axis, name in zip(ts.axes, ts_axes_names)})
         new_target_sums.append(new_ts)
     target_sums = new_target_sums
 
@@ -104,10 +101,6 @@ def rename_axis(axis, name):
         # so, to reconstruct a.axes from target_sum axes, we need to take the
         # first axis of the second target_sum and all axes from the first
         # target_sum:
-
-        # first_axis = rename_axis(0, target_sums[1].axes[0])
-        # other_axes = [rename_axis(i, a)
-        #               for i, a in enumerate(target_sums[0].axes, start=1)]
         first_axis = target_sums[1].axes[0]
         other_axes = target_sums[0].axes
         all_axes = first_axis + other_axes
@@ -119,11 +112,16 @@ def rename_axis(axis, name):
         else:
             a = la.aslarray(a)
         # TODO: this should be a builtin op
-        # axes_names = [name if name is not None else 'axis%d' % i
-        #               for i, name in enumerate(a.axes.names)]
-        # a = a.rename({i: name for i, name in enumerate(axes_names)})
-        a = a.with_axes([rename_axis(axis, name)
-                         for axis, name in zip(a.axes, axes_names)])
+        a = a.rename({i: name if name is not None else 'axis%d' % i
+                      for i, name in enumerate(a.axes.names)})
+
+    # this test should only ever fail if the user passed larray for a and target sums
+    for i, axis_target in enumerate(target_sums):
+        expected_axes = a.axes - i
+        if axis_target.axes != expected_axes:
+            raise ValueError("axes of target sum along axis {} ({}) do not match corresponding array "
+                             "axes: got {} but expected {}. Are the target sums in the correct order?"
+                             .format(i, a.axes[i].name, axis_target.axes, expected_axes))
 
     axis0_total = target_sums[0].sum()
     for i, axis_target in enumerate(target_sums[1:], start=1):
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index ee4c4ed54..2479fbe69 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -15,26 +15,30 @@ def test_ipfp(self):
         initial = LArray([[2, 1],
                           [1, 2]], [a, b])
 
-        # sums already correct
+        # array sums already match target sums
         # [3, 3], [3, 3]
         r = ipfp([initial.sum(a), initial.sum(b)], initial)
         assert_array_equal(r, [[2, 1],
                                [1, 2]])
 
-        # different sums (ie the usual case)
+        # array sums do not match target sums (ie the usual case)
         along_a = LArray([2, 1], b)
         along_b = LArray([1, 2], a)
         r = ipfp([along_a, along_b], initial)
         assert_array_equal(r, [[0.8, 0.2],
                                [1.0, 1.0]])
 
-        # different sums, more precise threshold
-        along_a = LArray([2, 1], b)
-        along_b = LArray([1, 2], a)
+        # same as above but using a more precise threshold
         r = ipfp([along_a, along_b], initial, threshold=0.01)
         assert_array_equal(r, [[0.8450704225352113, 0.15492957746478875],
                                [1.1538461538461537, 0.8461538461538463]])
 
+        # inverted target sums
+        with self.assertRaisesRegexp(ValueError, "axes of target sum along axis 0 \(a\) do not match corresponding "
+                                                 "array axes: got {a\*} but expected {b\*}. Are the target sums in the "
+                                                 "correct order\?"):
+            ipfp([along_b, along_a], initial, threshold=0.01)
+
     def test_ipfp_no_values(self):
         # 6, 12, 18
         along_a = ndrange([('b', 3)], start=1) * 6

From 7e0e44bf7d7192da7f33b3801e3e9e69d6ed89b1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 12:18:56 +0100
Subject: [PATCH 306/899] nicer repr for LSet (closes #44)

---
 larray/core.py | 27 +++++++++++++++++++++++++--
 1 file changed, 25 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9b4b7fe88..33beb62e8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1624,7 +1624,7 @@ def __repr__(self):
         # eval only returns a slice for groups without an Axis object
         if isinstance(key, slice):
             key_repr = _slice_to_str(key, repr_func=repr)
-        elif isinstance(key, (tuple, list, np.ndarray)):
+        elif isinstance(key, (tuple, list, np.ndarray, OrderedSet)):
             key_repr = _seq_summary(key, n=1000, repr_func=repr, sep=', ')
         else:
             key_repr = repr(key)
@@ -1963,7 +1963,30 @@ def eval(self):
 
 
 class LSet(LGroup):
-    format_string = "{axis}.set[{key}]"
+    """Label set.
+
+    Represents a set of (unique) labels of an axis.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : str, optional
+        Name of the set.
+    axis : int, str, Axis, optional
+        Axis for set.
+
+    Examples
+    --------
+    >>> letters = Axis('letters', 'a..z')
+    >>> abc = letters[':c'].set() >> 'abc'
+    >>> abc
+    letters['a', 'b', 'c'].set() >> 'abc'
+    >>> abc & letters['b:d']
+    letters['b', 'c'].set()
+    """
+    format_string = "{axis}[{key}].set()"
 
     def __init__(self, key, name=None, axis=None):
         key = _to_key(key)

From ebcc1512ed183facae6e822083e179c7e0db6e84 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 14:34:20 +0100
Subject: [PATCH 307/899] add batch file to create metapackage

---
 make_meta_package.bat | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 make_meta_package.bat

diff --git a/make_meta_package.bat b/make_meta_package.bat
new file mode 100644
index 000000000..2fae30a90
--- /dev/null
+++ b/make_meta_package.bat
@@ -0,0 +1 @@
+conda metapackage larrayenv %1 --dependencies "larray ==%1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
\ No newline at end of file

From cb5167c360c0ccb9e63c75093575105c3f115f13 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 15:30:45 +0100
Subject: [PATCH 308/899] change recommended max line length to 120 and rewrap
 the doc itself accordingly

---
 doc/source/contribute.rst | 78 ++++++++++++++++-----------------------
 1 file changed, 31 insertions(+), 47 deletions(-)

diff --git a/doc/source/contribute.rst b/doc/source/contribute.rst
index f8ebd7797..98dd480a2 100644
--- a/doc/source/contribute.rst
+++ b/doc/source/contribute.rst
@@ -6,13 +6,10 @@ Getting the code (for the first time)
 
 - install a Git client
 
-  On Windows, TortoiseGit provides a nice graphical wrapper. You need to
-  install both the console client from http://msysgit.github.io/ and
-  `TortoiseGit <https://code.google.com/p/tortoisegit>`_
-  itself.
+  On Windows, TortoiseGit provides a nice graphical wrapper. You need to install both the console client from
+  http://msysgit.github.io/ and `TortoiseGit <https://code.google.com/p/tortoisegit>`_ itself.
 
-- create an account on `GitHub <https://github.com/>`_ (not necessary for
-  readonly).
+- create an account on `GitHub <https://github.com/>`_ (not necessary for readonly).
 
 - clone the repository on your local machine ::
 
@@ -26,14 +23,13 @@ You could install LArray in the standard way: ::
 
   > python setup.py install
 
-but in that case you need to "install" it again every time you change it. When
-developing, it is usually more convenient to use: ::
+but in that case you need to "install" it again every time you change it. When developing, it is usually more
+convenient to use: ::
 
   > python setup.py develop
 
-This creates some kind of symlink between your python installation "modules"
-directory and your repository, so that any change in your local copy is
-automatically usable by other modules.
+This creates some kind of symlink between your python installation "modules" directory and your repository, so that any
+change in your local copy is automatically usable by other modules.
 
 
 Updating your local copy with remote changes
@@ -47,13 +43,11 @@ Updating your local copy with remote changes
 Code conventions
 ----------------
 
-`PEP8 <http://www.python.org/dev/peps/pep-0008/>`_ is your friend. Among others,
-this means:
+`PEP8 <http://www.python.org/dev/peps/pep-0008/>`_ is your friend. Among others, this means:
 
-- 80 characters lines
+- 120 characters lines
 - 4 spaces indentation
-- lowercase (with underscores if needed) variables, functions, methods and
-  modules names
+- lowercase (with underscores if needed) variables, functions, methods and modules names
 - CamelCase classes names
 - all uppercase constants names
 - whitespace around binary operators
@@ -92,7 +86,7 @@ We use Numpy conventions for docstrings. Here is a template: ::
 
       Returns
       -------
-      name : type
+      type
           Description of return value.
 
       See Also
@@ -119,9 +113,8 @@ For example: ::
 
       Returns
       -------
-      result : bool
-          Whether the string representation of the number is equal to the
-          string.
+      bool
+          Whether the string representation of the number is equal to the string.
 
       Examples
       --------
@@ -138,21 +131,18 @@ For example: ::
 Documentation
 -------------
 
-The documentation is written using reStructuredText and built to various
-formats using `Sphinx <http://sphinx-doc.org/>`_. See the `reStructuredText
-Primer <http://sphinx-doc.org/rest.html#rst-primer>`_ for a first introduction
-of the syntax.
+The documentation is written using reStructuredText and built to various formats using
+`Sphinx <http://sphinx-doc.org/>`_. See the `reStructuredText Primer <http://sphinx-doc.org/rest.html#rst-primer>`_
+for a first introduction of the syntax.
 
 Installing Requirements
 ~~~~~~~~~~~~~~~~~~~~~~~
 
-Basic requirements (to generate an .html version of the documentation) can be
-installed using: ::
+Basic requirements (to generate an .html version of the documentation) can be installed using: ::
 
   > conda install sphinx numpydoc
 
-To build the .pdf version, you need a LaTeX processor. We use
-`MiKTeX <http://miktex.org>`_.
+To build the .pdf version, you need a LaTeX processor. We use `MiKTeX <http://miktex.org>`_.
 
 To build the .chm version, you need `HTML Help Workshop
 <http://www.microsoft.com/en-us/download/details.aspx?id=21138>`_.
@@ -165,9 +155,8 @@ Open a command prompt and go to the documentation directory: ::
 
   > cd doc
 
-If you just want to check that there is no syntax error in the documentation
-and that it formats properly, it is usually enough to only generate the .html
-version, by using: ::
+If you just want to check that there is no syntax error in the documentation and that it formats properly, it is
+usually enough to only generate the .html version, by using: ::
 
   > make html
 
@@ -175,8 +164,8 @@ Open the result in your favourite web browser. It is located in: ::
 
   build/html/index.html
 
-If you want to also generate the .pdf and .chm (and you have the extra
-requirements to generate those), you could use: ::
+If you want to also generate the .pdf and .chm (and you have the extra requirements to generate those), you could
+use: ::
 
   > buildall
 
@@ -184,8 +173,8 @@ requirements to generate those), you could use: ::
 Tests
 -----
 
-We use both unit tests and doctests. Unit tests are written using Python's
-built-in `unittest module <https://docs.python.org/3/library/unittest.html>`_.
+We use both unit tests and doctests. Unit tests are written using Python's built-in
+`unittest module <https://docs.python.org/3/library/unittest.html>`_.
 For example: ::
 
   from unittest import TestCase
@@ -205,12 +194,10 @@ To run all unit tests: ::
 
   > python -m unittest -v larray\tests\test_la.py
 
-We also use doctests for some tests. Doctests is specially-formatted code
-within the docstring of a function which embeds the result of calling said
-function with a particular set of arguments. This can be used both as
-documentation and testing. We only use doctests for the cases where the test is
-simple enough to fit on one line and it can help understand what the function
-does. For example: ::
+We also use doctests for some tests. Doctests is specially-formatted code within the docstring of a function which
+embeds the result of calling said function with a particular set of arguments. This can be used both as documentation
+and testing. We only use doctests for the cases where the test is simple enough to fit on one line and it can help
+understand what the function does. For example: ::
 
   def slice_to_str(key):
       """Converts a slice to a string
@@ -225,8 +212,7 @@ To run doc tests: ::
 
   > python -m doctest -v larray\larray.py
 
-To run both at the same time, one can use nosetests (install with `conda
-install nose`): ::
+To run both at the same time, one can use nosetests (install with `conda install nose`): ::
 
   > nosetests -v --with-doctest
 
@@ -236,11 +222,9 @@ Sending your changes
 
 ::
 
-  > git add       # tell git it should care about a file it previously
-                  # ignored (only if needed)
+  > git add       # tell git it should care about a file it previously ignored (only if needed)
 
-  > git commit    # creates a new revision of the repository using its
-                  # current state
+  > git commit    # creates a new revision of the repository using its current state
 
   > git pull      # updates your local repository with "upstream" changes.
                   # this might create conflicts that you will need to resolve.

From 7b092b23853f5c5fdecc88c6114d77a3c578e0a3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 08:12:15 +0100
Subject: [PATCH 309/899] fix typo in Axis.iscompatible docstring and rewrap it

---
 larray/core.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 33beb62e8..76e305600 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1122,12 +1122,9 @@ def iscompatible(self, other):
         """
         Checks if self is compatible with another axis.
 
-        * Two non-wildcard axes are compatible is they have
-          the same name and labels.
-        * A wildcard axis of length 1 is compatible with any
-          other axis sharing the same name.
-        * A wildcard axis of length > 1 is compatible with any
-          axis of the same length or length 1 and sharing the
+        * Two non-wildcard axes are compatible if they have the same name and labels.
+        * A wildcard axis of length 1 is compatible with any other axis sharing the same name.
+        * A wildcard axis of length > 1 is compatible with any axis of the same length or length 1 and sharing the
           same name.
 
         Parameters
@@ -1159,8 +1156,7 @@ def iscompatible(self, other):
             return True
         if not isinstance(other, Axis):
             return False
-        if self.name is not None and other.name is not None and \
-                self.name != other.name:
+        if self.name is not None and other.name is not None and self.name != other.name:
             return False
         if self.iswildcard or other.iswildcard:
             # wildcard axes of length 1 match with anything

From 70cffbb7f1773f18f1926395b1884cc5594ee24c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Jan 2017 16:50:21 +0100
Subject: [PATCH 310/899] tag multiple groups with an axis in one shot

---
 larray/core.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 76e305600..75b8a112d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1052,13 +1052,18 @@ def group(self, *args, **kwargs):
             raise ValueError("invalid keyword argument(s): %s"
                              % list(kwargs.keys()))
         key = args[0] if len(args) == 1 else args
-        if isinstance(key, list):
+        if isinstance(key, basestring):
+            key = to_keys(key)
+
+        if isinstance(key, (tuple, list)):
             if any(isinstance(k, Group) for k in key):
-                assert all(isinstance(k, Group) for k in key)
                 k0 = key[0]
-                assert all(isinstance(k, k0.__class__) for k in key)
-                assert all(np.isscalar(k.key) for k in key)
-                return k0.__class__([k.key for k in key], axis=self)
+                assert isinstance(k0, Group)
+                cls_ = k0.__class__
+                assert all(isinstance(k, cls_) for k in key[1:])
+                res = [k.with_axis(self) for k in key]
+                res = tuple(res) if isinstance(key, tuple) else res
+                return res
 
         if isinstance(key, Group):
             name = name if name is not None else key.name

From ae7202c7718a9b176ba87a7b5cfdd36157e11786 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 16:02:25 +0100
Subject: [PATCH 311/899] bump to 0.19.1 and update copyright/authors

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 4 ++--
 4 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 99867c3ea..3aaf369a0 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.19
+  version: 0.19.1
 
 source:
-  git_tag: 0.19
+  git_tag: 0.19.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index ee4c84077..72ffcfb3b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -61,7 +61,7 @@
 
 # General information about the project.
 project = 'LArray'
-copyright = '2014-2016, Gaëtan de Menten, Geert Bryon, Johan Duyck'
+copyright = '2014-2017, Gaëtan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
@@ -70,7 +70,7 @@
 # The short X.Y version.
 version = '0.19'
 # The full version, including alpha/beta/rc tags.
-release = '0.19'
+release = '0.19.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 76e305600..c23c958e7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.19"
+__version__ = "0.19.1"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
diff --git a/setup.py b/setup.py
index 8b169bca1..eeafd3dc9 100644
--- a/setup.py
+++ b/setup.py
@@ -9,8 +9,8 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.19'
-AUTHOR = 'Gaetan de Menten, Geert Bryon'
+VERSION = '0.19.1'
+AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")

From ea1ee043a1b7486f71169fd086e23c623ba07dae Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Jan 2017 17:16:10 +0100
Subject: [PATCH 312/899] implemented sep argument for
 Axis&AxisCollection.combine_axes (closes #53)

---
 larray/core.py | 17 ++++++++++++-----
 1 file changed, 12 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index c23c958e7..eb1481ef2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3108,13 +3108,15 @@ def info(self):
 
     # XXX: instead of front_if_spread, we might want to require axes to be contiguous
     #      (ie the caller would have to transpose axes before calling this)
-    def combine_axes(self, axes=None, wildcard=False, front_if_spread=False):
+    def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False):
         """Combine several axes into one.
 
         Parameters
         ----------
         axes : tuple, list or AxisCollection of axes, optional
             axes to combine. Defaults to all axes.
+        sep : str, optional
+            delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
             whether or not to produce a wildcard axis even if the axes to
             combine are not. This is much faster, but loose axes labels.
@@ -3140,7 +3142,7 @@ def combine_axes(self, axes=None, wildcard=False, front_if_spread=False):
         if all(axis.name is None for axis in axes):
             combined_name = None
         else:
-            combined_name = '_'.join(str(id_) for id_ in axes.ids)
+            combined_name = sep.join(str(id_) for id_ in axes.ids)
 
         if wildcard:
             combined_axis = Axis(combined_name, axes.size)
@@ -3156,7 +3158,7 @@ def combine_axes(self, axes=None, wildcard=False, front_if_spread=False):
                 #    wildcard axis (and axes_labels discarded?)
                 combined_labels = axes[0].labels
             else:
-                combined_labels = ['_'.join(str(l) for l in p)
+                combined_labels = [sep.join(str(l) for l in p)
                                    for p in product(*axes.labels)]
 
             combined_axis = Axis(combined_name, combined_labels)
@@ -7490,13 +7492,15 @@ def compact(self):
                 res = res[axis.i[0]]
         return res
 
-    def combine_axes(self, axes=None, wildcard=False):
+    def combine_axes(self, axes=None, sep='_', wildcard=False):
         """Combine several axes into one.
 
         Parameters
         ----------
         axes : tuple, list or AxisCollection of axes, optional
             axes to combine. Defaults to all axes.
+        sep : str, optional
+            delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
             whether or not to produce a wildcard axis even if the axes to
             combine are not. This is much faster, but loose axes labels.
@@ -7516,6 +7520,9 @@ def combine_axes(self, axes=None, wildcard=False):
         >>> arr.combine_axes()
         a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
             |     0 |     1 |     2 |     3 |     4 |     5
+        >>> arr.combine_axes(sep='/')
+        a/b | a0/b0 | a0/b1 | a0/b2 | a1/b0 | a1/b1 | a1/b2
+            |     0 |     1 |     2 |     3 |     4 |     5
         >>> arr = ndtest((2, 3, 4))
         >>> arr
          a | b\\c | c0 | c1 | c2 | c3
@@ -7543,7 +7550,7 @@ def combine_axes(self, axes=None, wildcard=False):
         transposed_axes = self.axes[:min_axis_index] + axes + self.axes
         transposed = self.transpose(transposed_axes)
 
-        new_axes = transposed.axes.combine_axes(axes, wildcard=wildcard)
+        new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
         return transposed.reshape(new_axes)
 
     def split_axis(self, axis, sep='_', names=None):

From 654ecd37784c1d706ab4ac978fed6476c6b39380 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 24 Jan 2017 17:38:15 +0100
Subject: [PATCH 313/899] Add test for to_excel and read_excel

---
 larray/tests/test.xlsx  | Bin 0 -> 11950 bytes
 larray/tests/test_la.py |  43 ++++++++++++++++++++++++++++++++++++++--
 2 files changed, 41 insertions(+), 2 deletions(-)
 create mode 100644 larray/tests/test.xlsx

diff --git a/larray/tests/test.xlsx b/larray/tests/test.xlsx
new file mode 100644
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diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 9ff3db3b0..67008441a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -9,7 +9,7 @@
 import pandas as pd
 
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
-                    read_csv, zeros, zeros_like, ndrange, ndtest,
+                    read_csv, read_excel, zeros, zeros_like, ndrange, ndtest,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
 from larray.core import _to_ticks, _to_key, df_aslarray
 
@@ -2829,7 +2829,7 @@ def test_extend(self):
         la = la.extend('sex', la.sum(sex=(sex.all(),)))
         self.assertEqual(la.shape, (3, 16))
 
-    def test_readcsv(self):
+    def test_read_csv(self):
         la = read_csv(abspath('test1d.csv'))
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
@@ -2855,6 +2855,32 @@ def test_readcsv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+    def test_read_excel(self):
+        la = read_excel(abspath('test.xlsx'), '1d')
+        self.assertEqual(la.ndim, 1)
+        self.assertEqual(la.shape, (3,))
+        self.assertEqual(la.axes.names, ['time'])
+        assert_array_equal(la, [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '2d')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', 'time'])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '3d')
+        self.assertEqual(la.ndim, 3)
+        self.assertEqual(la.shape, (5, 2, 3))
+        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '5d')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
+
     def test_df_aslarray(self):
         dt = [('age', int), ('sex', 'U1'),
               ('2007', int), ('2010', int), ('2013', int)]
@@ -2906,6 +2932,19 @@ def test_to_csv(self):
         with open('test_out1d.csv') as f:
             self.assertEqual(f.readlines(), result)
 
+    def test_to_excel(self):
+        la = read_excel(abspath('test.xlsx'), '5d')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
+
+        la.to_excel('out.xlsx', '5d')
+        out = read_excel('out.xlsx', '5d').i[:2]
+        result = la.i[:2]
+        assert_array_equal(out, result)
+
     def test_ufuncs(self):
         la = self.small
         raw = self.small_data

From 18396e4c912222e6aff94418156516e43f86b6fd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 09:23:33 +0100
Subject: [PATCH 314/899] Update test_to_excel

---
 larray/tests/test_la.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 67008441a..23ccfbc3b 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2941,9 +2941,8 @@ def test_to_excel(self):
                            [3722, 3395, 3347])
 
         la.to_excel('out.xlsx', '5d')
-        out = read_excel('out.xlsx', '5d').i[:2]
-        result = la.i[:2]
-        assert_array_equal(out, result)
+        out = read_excel('out.xlsx', '5d')
+        assert_array_equal(out, la)
 
     def test_ufuncs(self):
         la = self.small

From e63592716fe7183a3ff36bdc50cbdd32ff52a92c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 09:53:10 +0100
Subject: [PATCH 315/899] Update test_to_excel -->test parameters nb_index,
 index_col and engine=None or 'xlrd'

---
 larray/tests/test_la.py | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 23ccfbc3b..97db7fda7 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2868,12 +2868,24 @@ def test_read_excel(self):
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '2d', nb_index=1, engine='xlrd')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', 'time'])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
         la = read_excel(abspath('test.xlsx'), '3d')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine=None)
+        self.assertEqual(la.ndim, 3)
+        self.assertEqual(la.shape, (5, 2, 3))
+        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
         la = read_excel(abspath('test.xlsx'), '5d')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
@@ -2881,6 +2893,13 @@ def test_read_excel(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
+
     def test_df_aslarray(self):
         dt = [('age', int), ('sex', 'U1'),
               ('2007', int), ('2010', int), ('2013', int)]

From 20b2fc482d7b3c349677e177c0820dc42a0fda5b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 11:06:52 +0100
Subject: [PATCH 316/899] Split test_read_excel in test_read_excel_xlwings and
 test_read_excel_pandas

---
 larray/tests/test_la.py | 55 +++++++++++++++++++++++++----------------
 1 file changed, 34 insertions(+), 21 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 97db7fda7..dd7af19f8 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -8,6 +8,11 @@
 import numpy as np
 import pandas as pd
 
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
+
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
                     read_csv, read_excel, zeros, zeros_like, ndrange, ndtest,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
@@ -2855,44 +2860,52 @@ def test_read_csv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
-    def test_read_excel(self):
-        la = read_excel(abspath('test.xlsx'), '1d')
+    def test_read_excel_xlwings(self):
+        if xw is not None:
+            la = read_excel(abspath('test.xlsx'), '1d')
+            self.assertEqual(la.ndim, 1)
+            self.assertEqual(la.shape, (3,))
+            self.assertEqual(la.axes.names, ['time'])
+            assert_array_equal(la, [3722, 3395, 3347])
+
+            la = read_excel(abspath('test.xlsx'), '2d')
+            self.assertEqual(la.ndim, 2)
+            self.assertEqual(la.shape, (5, 3))
+            self.assertEqual(la.axes.names, ['age', 'time'])
+            assert_array_equal(la[0, :], [3722, 3395, 3347])
+
+            la = read_excel(abspath('test.xlsx'), '3d')
+            self.assertEqual(la.ndim, 3)
+            self.assertEqual(la.shape, (5, 2, 3))
+            self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+            assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+            la = read_excel(abspath('test.xlsx'), '5d')
+            self.assertEqual(la.ndim, 5)
+            self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+            self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+            assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                               [3722, 3395, 3347])
+
+    def test_read_excel_pandas(self):
+        la = read_excel(abspath('test.xlsx'), '1d', engine=None)
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', 'time'])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
-
         la = read_excel(abspath('test.xlsx'), '2d', nb_index=1, engine='xlrd')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '3d')
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (5, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
-
         la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine=None)
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '5d')
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
-                           [3722, 3395, 3347])
-
         la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))

From a4eefe641cdb35dff63b8b9fce8fb20baa43e025 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 11:19:40 +0100
Subject: [PATCH 317/899] Update test_read_excel_pandas + test_to_excel

---
 larray/tests/test_la.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index dd7af19f8..60fdeeed4 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2888,7 +2888,7 @@ def test_read_excel_xlwings(self):
                                [3722, 3395, 3347])
 
     def test_read_excel_pandas(self):
-        la = read_excel(abspath('test.xlsx'), '1d', engine=None)
+        la = read_excel(abspath('test.xlsx'), '1d', index_col=[0], engine='xlrd')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
@@ -2965,7 +2965,7 @@ def test_to_csv(self):
             self.assertEqual(f.readlines(), result)
 
     def test_to_excel(self):
-        la = read_excel(abspath('test.xlsx'), '5d')
+        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine=None)
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
@@ -2973,7 +2973,7 @@ def test_to_excel(self):
                            [3722, 3395, 3347])
 
         la.to_excel('out.xlsx', '5d')
-        out = read_excel('out.xlsx', '5d')
+        out = read_excel('out.xlsx', '5d', nb_index=4, engine=None)
         assert_array_equal(out, la)
 
     def test_ufuncs(self):

From 258a0876d4e8446b71966102acff2b5827f82af4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 14:00:48 +0100
Subject: [PATCH 318/899] Add decorator @unittest.skipIf in front of
 test_read_excel_xlwings

---
 larray/tests/test_la.py | 52 ++++++++++++++++++++---------------------
 1 file changed, 26 insertions(+), 26 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 60fdeeed4..8849af02d 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2860,32 +2860,32 @@ def test_read_csv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+    @unittest.skipIf(xw is None, "xlwings is not available")
     def test_read_excel_xlwings(self):
-        if xw is not None:
-            la = read_excel(abspath('test.xlsx'), '1d')
-            self.assertEqual(la.ndim, 1)
-            self.assertEqual(la.shape, (3,))
-            self.assertEqual(la.axes.names, ['time'])
-            assert_array_equal(la, [3722, 3395, 3347])
-
-            la = read_excel(abspath('test.xlsx'), '2d')
-            self.assertEqual(la.ndim, 2)
-            self.assertEqual(la.shape, (5, 3))
-            self.assertEqual(la.axes.names, ['age', 'time'])
-            assert_array_equal(la[0, :], [3722, 3395, 3347])
-
-            la = read_excel(abspath('test.xlsx'), '3d')
-            self.assertEqual(la.ndim, 3)
-            self.assertEqual(la.shape, (5, 2, 3))
-            self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-            assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
-
-            la = read_excel(abspath('test.xlsx'), '5d')
-            self.assertEqual(la.ndim, 5)
-            self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-            self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-            assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
-                               [3722, 3395, 3347])
+        la = read_excel(abspath('test.xlsx'), '1d')
+        self.assertEqual(la.ndim, 1)
+        self.assertEqual(la.shape, (3,))
+        self.assertEqual(la.axes.names, ['time'])
+        assert_array_equal(la, [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '2d')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', 'time'])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '3d')
+        self.assertEqual(la.ndim, 3)
+        self.assertEqual(la.shape, (5, 2, 3))
+        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+        la = read_excel(abspath('test.xlsx'), '5d')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
 
     def test_read_excel_pandas(self):
         la = read_excel(abspath('test.xlsx'), '1d', index_col=[0], engine='xlrd')
@@ -2900,7 +2900,7 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine=None)
+        la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])

From 68272aae59edff0c710a285b1199208770d244ac Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 25 Jan 2017 14:11:18 +0100
Subject: [PATCH 319/899] Update read_excel to read 1d array using pandas
 without having to add index_col=[0]

---
 larray/core.py          | 4 ++--
 larray/tests/test_la.py | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index eb1481ef2..9d952cd54 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7851,8 +7851,8 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
         with open_excel(filepath) as wb:
             return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
     else:
-        if index_col is None and nb_index > 0:
-            index_col = list(range(nb_index))
+        if not index_col:
+            index_col = list(range(nb_index)) if nb_index > 0 else [0]
         df = pd.read_excel(filepath, sheetname, index_col=index_col,
                            engine=engine, **kwargs)
         return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 8849af02d..d312b1812 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2888,7 +2888,7 @@ def test_read_excel_xlwings(self):
                            [3722, 3395, 3347])
 
     def test_read_excel_pandas(self):
-        la = read_excel(abspath('test.xlsx'), '1d', index_col=[0], engine='xlrd')
+        la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])

From 412f682f04fd75ea85686ef60cf77497e7424680 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jan 2017 11:05:55 +0100
Subject: [PATCH 320/899] Default value of engine in read_excel is now None as
 in to_excel. Both functions use 'xlwings' by default if it is installed

---
 larray/core.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 9d952cd54..339537069 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7839,13 +7839,16 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
 
 def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
                na=np.nan, sort_rows=False, sort_columns=False,
-               engine='xlwings', **kwargs):
+               engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
     """
+    if engine is None:
+        engine = 'xlwings' if xw is not None else None
+    
     if engine == 'xlwings':
         from .excel import open_excel
         with open_excel(filepath) as wb:

From 89aadd25eb9ea2c1c05d5e86d1de3c77e2ae66f3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jan 2017 11:17:44 +0100
Subject: [PATCH 321/899] Update doctstring of read_excel

---
 larray/core.py | 32 ++++++++++++++++++++++++++++----
 1 file changed, 28 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 339537069..339f073f8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7842,13 +7842,37 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
                engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
-        nb_index: number of leading index columns (e.g. 4)
-    or
-        index_col: list of columns for the index (e.g. [0, 1, 3])
+
+    Parameters
+    ----------
+    filepath : str
+        Path where the csv file has to be written.
+    sheetname : str or int, optional
+        Name or index of the Excel sheet containing
+        the array to be read.
+        By default the array is read from the first sheet.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4).
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]).
+    na : scalar, optional
+        Value for NaN (Not A Number). Defaults to NumPy NaN.
+    sort_rows : bool, optional
+        Whether or not to sort the row dimensions alphabetically
+        (sorting is more efficient than not sorting).
+        Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the column dimension alphabetically
+        (sorting is more efficient than not sorting).
+        Defaults to False.
+    engine : {'xlrd'}, optional
+        'xlwings' is used by default if installed.
+        Otherwise, 'pandas' is used.
+    **kwargs
     """
     if engine is None:
         engine = 'xlwings' if xw is not None else None
-    
+
     if engine == 'xlwings':
         from .excel import open_excel
         with open_excel(filepath) as wb:

From 8a90f585e8371df1aad6ee5bd9a08f166a6d8821 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jan 2017 11:24:38 +0100
Subject: [PATCH 322/899] Update test_to_excel

---
 larray/tests/test_la.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index d312b1812..d51ef525e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2965,7 +2965,7 @@ def test_to_csv(self):
             self.assertEqual(f.readlines(), result)
 
     def test_to_excel(self):
-        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine=None)
+        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])

From 18460c5dfd87cf506d57d8f6e7f4f890ece68e1f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jan 2017 14:35:52 +0100
Subject: [PATCH 323/899] Update read_excel

---
 larray/core.py | 21 ++++++++++++---------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 339f073f8..cac95818f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7708,10 +7708,10 @@ def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
     na : scalar, optional
         Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
-        Whether or not to sort the row dimensions alphabetically (sorting is
+        Whether or not to sort the rows alphabetically (sorting is
         more efficient than not sorting). Defaults to False.
     sort_columns : bool, optional
-        Whether or not to sort the column dimension alphabetically (sorting is
+        Whether or not to sort the columns alphabetically (sorting is
         more efficient than not sorting). Defaults to False.
     dialect : 'classic' | 'larray' | 'liam2', optional
         Name of dialect. Defaults to 'larray'.
@@ -7846,28 +7846,31 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
     Parameters
     ----------
     filepath : str
-        Path where the csv file has to be written.
+        Path where the Excel file has to be written.
     sheetname : str or int, optional
         Name or index of the Excel sheet containing
         the array to be read.
         By default the array is read from the first sheet.
     nb_index : int, optional
         Number of leading index columns (ex. 4).
+        Default to 0.
     index_col : list, optional
         List of columns for the index (ex. [0, 1, 2, 3]).
+        Default to [0].
     na : scalar, optional
         Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
-        Whether or not to sort the row dimensions alphabetically
+        Whether or not to sort the rows alphabetically
         (sorting is more efficient than not sorting).
         Defaults to False.
     sort_columns : bool, optional
-        Whether or not to sort the column dimension alphabetically
+        Whether or not to sort the columns alphabetically
         (sorting is more efficient than not sorting).
         Defaults to False.
-    engine : {'xlrd'}, optional
-        'xlwings' is used by default if installed.
-        Otherwise, 'pandas' is used.
+    engine : {'xlrd', 'xlwings'}, optional
+        Engine to use to read the Excel file. If None (default),
+        it will use 'xlwings' by default if the module is installed
+        and relies on Pandas default reader otherwise.
     **kwargs
     """
     if engine is None:
@@ -7878,7 +7881,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
         with open_excel(filepath) as wb:
             return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
     else:
-        if not index_col:
+        if index_col is None:
             index_col = list(range(nb_index)) if nb_index > 0 else [0]
         df = pd.read_excel(filepath, sheetname, index_col=index_col,
                            engine=engine, **kwargs)

From 6da96c492e80030c53d5c96cae240d72171b7b11 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jan 2017 14:42:53 +0100
Subject: [PATCH 324/899] Update read_excel

---
 larray/core.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index cac95818f..9b270b632 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7697,7 +7697,7 @@ def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
     Parameters
     ----------
     filepath : str
-        Path where the csv file has to be written.
+        Path where the csv file has to be read.
     nb_index : int, optional
         Number of leading index columns (ex. 4).
     index_col : list, optional
@@ -7846,7 +7846,7 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
     Parameters
     ----------
     filepath : str
-        Path where the Excel file has to be written.
+        Path where the Excel file has to be read.
     sheetname : str or int, optional
         Name or index of the Excel sheet containing
         the array to be read.

From 50558de15fe114b13b35666384c883b7f61d90e0 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 30 Jan 2017 10:36:35 +0100
Subject: [PATCH 325/899] Implement axes autodetection for read_excel using
 pandas/xlrd backend

* Implement axes autodetection for read_excel using pandas/xlrd backend (no need to use nb_index or index_col) fixes #66
* Fixed unicode in Axis name on Python2
---
 larray/core.py          | 44 +++++++++++++++++++++++++++++++----------
 larray/tests/test_la.py | 19 ++++++++++++++++++
 2 files changed, 53 insertions(+), 10 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9b270b632..d77c4eb5d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -110,9 +110,9 @@
 
 from larray.oset import *
 from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
-                          decode, basestring, bytes, izip, rproduct, ReprString,
-                          duplicates, array_lookup2, skip_comment_cells,
-                          strip_rows, find_closing_chr, PY3)
+                          decode, basestring, unicode, bytes, izip, rproduct,
+                          ReprString, duplicates, array_lookup2, strip_rows,
+                          skip_comment_cells, find_closing_chr, PY3)
 
 def _range_to_slice(seq, length=None):
     """
@@ -849,7 +849,7 @@ def __init__(self, name, labels):
             name = name.name
         # make sure we do not have np.str_ as it causes problems down the
         # line with xlwings. Cannot use isinstance to check that though.
-        is_python_str = type(name) is str or type(name) is bytes
+        is_python_str = type(name) is unicode or type(name) is bytes
         assert name is None or isinstance(name, int) or is_python_str, \
             type(name)
         self.name = name
@@ -7881,12 +7881,36 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
         with open_excel(filepath) as wb:
             return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
     else:
-        if index_col is None:
-            index_col = list(range(nb_index)) if nb_index > 0 else [0]
-        df = pd.read_excel(filepath, sheetname, index_col=index_col,
-                           engine=engine, **kwargs)
-        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                           fill_value=na)
+        if index_col is not None or nb_index > 0:
+            if index_col is None:
+                index_col = list(range(nb_index))
+            df = pd.read_excel(filepath, sheetname, index_col=index_col,
+                               engine=engine, **kwargs)
+            return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
+                               fill_value=na)
+        else:
+            # read array as it (2D)
+            df = pd.read_excel(filepath, sheetname, **kwargs)
+            # extract axes names and labels
+            columns = df.columns.values.tolist()
+            try:
+                # take the first column which contains '\'
+                pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
+            except StopIteration:
+                # we assume first column will not contains data
+                pos_last = 0
+            if pos_last > 0 or '\\' in str(columns[0]):
+                axes_names = columns[:pos_last + 1]
+                axes_labels = [union(df[axis_name]) for axis_name in axes_names]
+                axes_names = axes_names[:-1] + axes_names[-1].split('\\')
+                axes_labels.append(columns[pos_last + 1:])
+            else:
+                axes_names = [columns[0]]
+                axes_labels = [columns[1:]]
+            # build LArray object
+            axes = [Axis(name, labels) for name, labels in zip(axes_names, axes_labels)]
+            data = df.values[:, pos_last + 1:].reshape([len(axis) for axis in axes])
+            return LArray(data, axes)
 
 
 def read_sas(filepath, nb_index=0, index_col=None,
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index d51ef525e..0a02a3141 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2900,12 +2900,24 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '2d', engine='xlrd')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', 'time'])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
         la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '3d', engine='xlrd')
+        self.assertEqual(la.ndim, 3)
+        self.assertEqual(la.shape, (5, 2, 3))
+        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
         la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
@@ -2913,6 +2925,13 @@ def test_read_excel_pandas(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '5d', engine='xlrd')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
+
     def test_df_aslarray(self):
         dt = [('age', int), ('sex', 'U1'),
               ('2007', int), ('2010', int), ('2013', int)]

From 21879f039b9e9f633089d8aaf824262f24c8ab3e Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 30 Jan 2017 11:03:50 +0100
Subject: [PATCH 326/899] Add docstrings for all aggregate methods (closes #43)

* Add docstrings for all aggregate methods (closes #43)
* Update api.rst
---
 doc/source/api.rst |  126 +++
 larray/core.py     | 1995 ++++++++++++++++++++++++++++++++------------
 2 files changed, 1585 insertions(+), 536 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index f2f9e9d0c..eccb35e8f 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -4,11 +4,137 @@ API Reference
 .. automodule:: larray
    :members:
 
+Axis
+----
+
 .. autoclass:: larray.Axis
    :members:
 
+AxisCollection
+--------------
+
+.. autoclass:: larray.AxisCollection
+:members:
+
+LGroup
+------
+
 .. autoclass:: larray.LGroup
    :members:
 
+LArray
+------
+
 .. autoclass:: larray.LArray
    :members:
+
+Session
+-------
+
+.. autoclass:: larray.Session
+:members:
+
+Excel
+-----
+
+.. automodule:: larray.excel
+:members:
+
+.. autoclass:: larray.excel.Workbook
+:members:
+
+.. autoclass:: larray.excel.Sheet
+:members:
+
+.. autoclass:: larray.excel.Range
+:members:
+
+Array Creation Functions
+------------------------
+
+.. autofunction:: larray.create_sequential
+
+.. autofunction:: larray.ndrange
+
+.. autofunction:: larray.ndtest
+
+.. autofunction:: larray.zeros
+
+.. autofunction:: larray.zeros_like
+
+.. autofunction:: larray.ones
+
+.. autofunction:: larray.ones_like
+
+.. autofunction:: larray.empty
+
+.. autofunction:: larray.empty_like
+
+.. autofunction:: larray.full
+
+.. autofunction:: larray.full_like
+
+Read Functions
+--------------
+
+.. autofunction:: larray.read_csv
+
+.. autofunction:: larray.read_eurostat
+
+.. autofunction:: larray.read_excel
+
+.. autofunction:: larray.read_hdf
+
+.. autofunction:: larray.read_tsv
+
+.. autofunction:: larray.read_sas
+
+Aggregation Functions
+---------------------
+
+.. autofunction:: larray.all
+
+.. autofunction:: larray.any
+
+.. autofunction:: larray.min
+
+.. autofunction:: larray.max
+
+.. autofunction:: larray.sum
+
+.. autofunction:: larray.prod
+
+.. autofunction:: larray.cumsum
+
+.. autofunction:: larray.cumprod
+
+.. autofunction:: larray.mean
+
+.. autofunction:: larray.median
+
+.. autofunction:: larray.var
+
+.. autofunction:: larray.std
+
+.. autofunction:: larray.percentile
+
+.. autofunction:: larray.ptp
+
+Miscellaneous
+-------------
+
+.. autofunction:: larray.aslarray
+
+.. autofunction:: larray.labels_array
+
+.. autofunction:: larray.larray_equal
+
+.. autofunction:: larray.union
+
+.. autofunction:: larray.stack
+
+.. autofunction:: larray.identity
+
+.. autofunction:: larray.diag
+
+.. autofunction:: larray.eye
diff --git a/larray/core.py b/larray/core.py
index d77c4eb5d..972866518 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -183,8 +183,8 @@ def _slice_to_str(key, repr_func=str):
     """
     Converts a slice to a string
 
-    Examples:
-    ---------
+    Examples
+    --------
     >>> _slice_to_str(slice(None))
     ':'
     >>> _slice_to_str(slice(24))
@@ -380,8 +380,8 @@ def _to_tick(v):
     Group without name -> _to_tick(v.key)
     other -> str(v)
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     v : any
         value to be converted.
 
@@ -420,8 +420,8 @@ def _to_ticks(s):
     Axis (ie hashable). Strip strings, split them on ',' and translate
     "range strings" to list of values **including the end point** !
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     s : iterable
         List of values usable as the collection of labels for an Axis.
 
@@ -433,8 +433,8 @@ def _to_ticks(s):
     -----
     This function is only used in Axis.__init__ and union().
 
-    Examples:
-    ---------
+    Examples
+    --------
     >>> _to_ticks('H , F')
     ['H', 'F']
 
@@ -1718,8 +1718,8 @@ def by(self, length, step=None):
         step : int, optional
             step between groups. Defaults to length.
 
-        Note
-        ----
+        Notes
+        -----
         step can be smaller than length, in which case, this will produce
         overlapping groups.
 
@@ -2112,8 +2112,8 @@ class AxisCollection(object):
     """
     Represents a collection of axes.
 
-    Parameters:
-    -----------
+    Parameters
+    ----------
     axes : sequence of Axis or int or tuple or str, optional
         An axis can be given as an Axis object, an int or a
         tuple (name, labels) or a string of the kind
@@ -2932,8 +2932,8 @@ def labels(self):
         list
             List of labels of the axes.
 
-        Example
-        -------
+        Examples
+        --------
         >>> age = Axis('age', range(10))
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
         >>> AxisCollection([age, time]).labels  # doctest: +NORMALIZE_WHITESPACE
@@ -3122,12 +3122,12 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
             combine are not. This is much faster, but loose axes labels.
         front_if_spread : bool, optional
             whether or not to move the combined axis at the front (it will be
-            the first axis) if the combined axes are not next to each
-            other.
+            the first axis) if the combined axes are not next to each other.
 
         Returns
         -------
         AxisCollection
+            New AxisCollection with combined axes.
         """
         axes = self if axes is None else self[axes]
         axes_indices = [self.index(axis) for axis in axes]
@@ -3207,48 +3207,9 @@ def all(values, axis=None):
     """
     Test whether all array elements along a given axis evaluate to True.
 
-    Parameters
-    ----------
-    values : LArray or iterable
-        Input data.
-    axis : str or list or Axis, optional
-        Axis over which to aggregate.
-        Defaults to None (all axes).
-
-    Returns
-    -------
-    LArray of bool or bool
-
     See Also
     --------
-    LArray.all : Equivalent method.
-
-    Notes
-    -----
-    If `values` is not a LArray object, the equivalent builtins function is used.
-
-    Examples
-    --------
-    >>> arr = ndtest((3,3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-     a2 |  6 |  7 |  8
-    >>> barr = arr < 4
-    >>> barr
-    a\\b |    b0 |    b1 |    b2
-     a0 |  True |  True |  True
-     a1 |  True | False | False
-     a2 | False | False | False
-    >>> all(barr)
-    False
-    >>> all(barr, 'a')
-    b |    b0 |    b1 |    b2
-      | False | False | False
-    >>> all(barr, 'b')
-    a |   a0 |    a1 |    a2
-      | True | False | False
+    LArray.all
     """
     if isinstance(values, LArray):
         return values.all(axis)
@@ -3260,48 +3221,9 @@ def any(values, axis=None):
     """
     Test whether any array elements along a given axis evaluate to True.
 
-    Parameters
-    ----------
-    values : LArray or iterable
-        Input data.
-    axis : str or list or Axis, optional
-        Axis over which to aggregate.
-        Defaults to None (all axes).
-
-    Returns
-    -------
-    LArray of bool or bool
-
     See Also
     --------
-    LArray.any : Equivalent method.
-
-    Notes
-    -----
-    If `values` is not a LArray object, the equivalent builtins function is used.
-
-    Examples
-    --------
-    >>> arr = ndtest((3,3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-     a2 |  6 |  7 |  8
-    >>> barr = arr < 4
-    >>> barr
-    a\\b |    b0 |    b1 |    b2
-     a0 |  True |  True |  True
-     a1 |  True | False | False
-     a2 | False | False | False
-    >>> any(barr)
-    True
-    >>> any(barr, 'a')
-    b |   b0 |   b1 |   b2
-      | True | True | True
-    >>> any(barr, 'b')
-    a |   a0 |   a1 |    a2
-      | True | True | False
+    LArray.any
     """
     if isinstance(values, LArray):
         return values.any(axis)
@@ -3312,48 +3234,12 @@ def any(values, axis=None):
 # commutative modulo float precision errors
 def sum(array, *args, **kwargs):
     """
-    Sum of array elements over a given axis.
-
-    Parameters
-    ----------
-    array : LArray or iterable
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a sum is performed.
-        The default (`axis` = `None`) is to perform a sum over all
-        axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, a sum is performed on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Sum of array elements.
 
     See Also
     --------
-    LArray.sum : Equivalent method.
-
-    Notes
-    -----
-    The sum of an empty array is the neutral element 0:
-
-    >>> sum([])
-    0.0
 
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> sum(arr)
-    15
-    >>> sum(arr, axis='a')
-    b | b0 | b1 | b2
-      |  3 |  5 |  7
+    LArray.sum
     """
     # XXX: we might want to be more aggressive here (more types to convert),
     #      however, generators should still be computed via the builtin.
@@ -3367,172 +3253,44 @@ def sum(array, *args, **kwargs):
 
 def prod(array, *args, **kwargs):
     """
-    Returns the product of the array elements over a given axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a product is performed.
-        The default (`axis` = `None`) is to perform the product over all
-        axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the product is performed on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Product of array elements.
 
     See Also
     --------
-    LArray.prod : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> prod(arr)
-    0
-    >>> prod(arr, axis='a')
-    b | b0 | b1 | b2
-      |  0 |  4 | 10
+    LArray.prod
     """
     return array.prod(*args, **kwargs)
 
 
 def cumsum(array, *args, **kwargs):
     """
-    Returns the cumulative sum of the elements along a given axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a cumulative sum is performed.
-        The default (`axis` = `None`) is to perform the cumulative sum
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the cumulative sum is performed on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray
+    Returns the cumulative sum of array elements.
 
     See Also
     --------
-    LArray.cumsum : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> cumsum(arr)
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  3
-     a1 |  3 |  7 | 12
-    >>> cumsum(arr, axis='a')
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  5 |  7
+    LArray.cumsum
     """
     return array.cumsum(*args, **kwargs)
 
 
 def cumprod(array, *args, **kwargs):
     """
-    Returns the cumulative product of the elements along a given axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a cumulative product is performed.
-        The default (`axis` = `None`) is to perform the cumulative product
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the cumulative product is performed on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray
+    Returns the cumulative product of array elements.
 
     See Also
     --------
-    LArray.cumprod : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> cumprod(arr)
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  0 |  0
-     a1 |  3 | 12 | 60
-    >>> cumprod(arr, axis='a')
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  0 |  4 | 10
+    LArray.cumprod
     """
     return array.cumprod(*args, **kwargs)
 
 
 def min(array, *args, **kwargs):
     """
-    Returns the minimum of an array or minimum along an axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a the minimum is searched.
-        The default (`axis` = `None`) is to search the minimum
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the minimum is searched on multiple axes.
-
-    Returns
-    -------
-    LArray or scalar
+    Minimum of array elements.
 
     See Also
     --------
-    LArray.min : Equivalent method.
-
-    Notes
-    -----
-    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> min(arr)
-    0
-    >>> min(arr, axis='a')
-    b | b0 | b1 | b2
-      |  0 |  1 |  2
+    LArray.min
     """
     if isinstance(array, LArray):
         return array.min(*args, **kwargs)
@@ -3542,46 +3300,11 @@ def min(array, *args, **kwargs):
 
 def max(array, *args, **kwargs):
     """
-    Returns the minimum of an array or maximum along an axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which a the maximum is searched.
-        The default (`axis` = `None`) is to search the maximum
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the maximum is searched on multiple axes.
-
-    Returns
-    -------
-    LArray or scalar
+    Maximum of array elements.
 
     See Also
     --------
-    LArray.max : Equivalent method.
-
-    Notes
-    -----
-    If `array` is not a LArray or a NumPy array, the equivalent builtins function is used.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> max(arr)
-    5
-    >>> max(arr, axis=0)
-    b | b0 | b1 | b2
-      |  3 |  4 |  5
-    >>> max(arr, axis='a')
-    b | b0 | b1 | b2
-      |  3 |  4 |  5
+    LArray.max
     """
     if isinstance(array, LArray):
         return array.max(*args, **kwargs)
@@ -3591,89 +3314,22 @@ def max(array, *args, **kwargs):
 
 def mean(array, *args, **kwargs):
     """
-    Computes the arithmetic mean along the specified axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which the means are computed.
-        The default (`axis` = `None`) is to compute the mean
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the mean is calculated on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Computes the arithmetic mean.
 
     See Also
     --------
-    LArray.mean : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> mean(arr)
-    2.5
-    >>> mean(arr, axis=0)
-    b |  b0 |  b1 |  b2
-      | 1.5 | 2.5 | 3.5
-    >>> mean(arr, axis='a')
-    b |  b0 |  b1 |  b2
-      | 1.5 | 2.5 | 3.5
+    LArray.mean
     """
     return array.mean(*args, **kwargs)
 
 
 def median(array, *args, **kwargs):
     """
-    Computes the median along the specified axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which the median are computed.
-        The default (`axis` = `None`) is to compute the median
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the median is calculated on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-
-    Returns
-    -------
-    LArray or scalar
+    Computes the median.
 
     See Also
     --------
-    LArray.median : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> median(arr)
-    2.5
-    >>> median(arr, axis=0)
-    b |  b0 |  b1 |  b2
-      | 1.5 | 2.5 | 3.5
-    >>> median(arr, axis='a')
-    b |  b0 |  b1 |  b2
-      | 1.5 | 2.5 | 3.5
+    LArray.median
     """
     return array.median(*args, **kwargs)
 
@@ -3682,44 +3338,9 @@ def percentile(array, *args, **kwargs):
     """
     Computes the qth percentile of the data along the specified axis.
 
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    q : float in range of [0,100] (or sequence of floats)
-        Percentile to compute, which must be between 0 and 100 inclusive.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which the percentile are computed.
-        The default (`axis` = `None`) is to compute the percentile
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the percentile is calculated on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
-
     See Also
     --------
-    LArray.percentile : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> percentile(arr, 25)
-    1.25
-    >>> percentile(arr, 25, axis=0)
-    b |   b0 |   b1 |   b2
-      | 0.75 | 1.75 | 2.75
-    >>> percentile(arr, 25, axis='a')
-    b |   b0 |   b1 |   b2
-      | 0.75 | 1.75 | 2.75
+    LArray.percentile
     """
     return array.percentile(*args, **kwargs)
 
@@ -3727,134 +3348,33 @@ def percentile(array, *args, **kwargs):
 # not commutative
 def ptp(array, *args, **kwargs):
     """
-    Returns the range of values (maximum - minimum) along an axis.
-
-    The name of the function comes from the acronym for ‘peak to peak’.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis, optional
-        Axis along which to find the peaks. The default (`axis` = `None`) is to find the peaks over all axes of the
-        input array (as if the array was flattened).
-        `axis` may be negative, in which case it counts from the last to the first axis.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Returns the range of values (maximum - minimum).
 
     See Also
     --------
-    LArray.ptp : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 3))
-    >>> arr
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
-    >>> ptp(arr)
-    5
-    >>> ptp(arr, axis=0)
-    b | b0 | b1 | b2
-      |  3 |  3 |  3
-    >>> ptp(arr, axis='a')
-    b | b0 | b1 | b2
-      |  3 |  3 |  3
+    LArray.ptp
     """
     return array.ptp(*args, **kwargs)
 
 
 def var(array, *args, **kwargs):
     """
-    Computes the variance along the specified axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which the variance are computed.
-        The default (`axis` = `None`) is to compute the variance
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the variance is calculated on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Computes the variance.
 
     See Also
     --------
-    LArray.var : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 4))
-    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
-    >>> arr
-    a\\b | b0 | b1 | b2 | b3
-     a0 |  2 |  4 |  4 |  4
-     a1 |  5 |  5 |  7 |  9
-    >>> var(arr)
-    4.0
-    >>> var(arr, axis=1)
-    a |   a0 |   a1
-      | 0.75 | 2.75
-    >>> var(arr, axis='b')
-    a |   a0 |   a1
-      | 0.75 | 2.75
+    LArray.var
     """
     return array.var(*args, **kwargs)
 
 
 def std(array, *args, **kwargs):
     """
-    Computes the standard deviation along the specified axis.
-
-    Parameters
-    ----------
-    array : LArray
-        Input data.
-    axis : None or int or str or Axis or tuple of those, optional
-        Axis or axes along which the standard deviation are computed.
-        The default (`axis` = `None`) is to compute the standard deviation
-        over all axes of the input array. `axis` may be negative, in
-        which case it counts from the last to the first axis.
-        If this is a tuple, the standard deviation is calculated on multiple axes.
-    out : LArray
-        Alternative output array in which to place the result.
-
-    Returns
-    -------
-    LArray or scalar
+    Computes the standard deviation.
 
     See Also
     --------
-    LArray.std : Equivalent method.
-
-    Examples
-    --------
-    >>> arr = ndtest((2, 4))
-    >>> arr[:, :] = [[2, 4, 4, 4], [5, 5, 7, 9]]
-    >>> arr
-    a\\b | b0 | b1 | b2 | b3
-     a0 |  2 |  4 |  4 |  4
-     a1 |  5 |  5 |  7 |  9
-    >>> std(arr)
-    2.0
-    >>> std(arr, axis=0)
-    b |  b0 |  b1 |  b2 |  b3
-      | 1.5 | 0.5 | 1.5 | 2.5
-    >>> std(arr, axis='a')
-    b |  b0 |  b1 |  b2 |  b3
-      | 1.5 | 0.5 | 1.5 | 2.5
+    LArray.std
     """
     return array.std(*args, **kwargs)
 
@@ -4103,18 +3623,144 @@ def aslarray(a):
         return LArray(a)
 
 
-class LArray(object):
-    """
-    A LArray object represents a multidimensional, homogeneous
-    array of fixed-size items with labeled axes.
+_arg_agg = {
+    'q':
+        """
+        q : int in range of [0,100] (or sequence of floats)
+            Percentile to compute, which must be between 0 and 100 inclusive.
+        """
+}
 
-    The function :func:`aslarray` can be used to convert a
-    NumPy array or PandaS DataFrame into a LArray.
+_kwarg_agg = {
+    'dtype':
+        """
+            * dtype : dtype, optional
 
-    Parameters
-    ----------
-    data : scalar, tuple, list or NumPy ndarray
-        Input data.
+              The type of the returned array.
+              The dtype of the array is used by default.
+        """,
+    'out':
+        """
+            * out : LArray, optional
+
+              Alternate output array in which to place the result.
+              It must have the same shape as the expected output and
+              its type is preserved (e.g., if dtype(out) is float, the
+              result will consist of 0.0’s and 1.0’s).
+              Axes and labels can be different, only the shape matters.
+        """,
+    'ddof':
+        """
+            * ddof : int, optional
+
+              "Delta Degrees of Freedom": the divisor used in the
+              calculation is ``N - ddof``, where ``N`` represents
+              the number of elements. By default `ddof` is zero.
+        """,
+    'skipna':
+        """
+            * skipna : bool, optional
+
+              'skip NaN': Ignore NaN/null values.
+              If an entire row/column is NaN, the result will be NaN.
+        """,
+    'keepaxes':
+        """
+            * keepaxes : bool, optional
+
+              If this is set to True, the axes which are reduced are
+              left in the result as dimensions with size one.
+              With this option, the result will broadcast correctly
+              against the input array.
+        """,
+    'interpolation':
+        """
+            * interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
+
+              This optional parameter specifies the interpolation method to
+              use when the desired quantile lies between two data points ``i < j``:
+                * linear: ``i + (j - i) * fraction``, where ``fraction`` is the
+                  fractional part of the index surrounded by ``i`` and ``j``.
+                * lower: ``i``.
+                * higher: ``j``.
+                * nearest: ``i`` or ``j``, whichever is nearest.
+                * midpoint: ``(i + j) / 2``.
+        """
+}
+
+
+def _doc_agg_method(desc, by=False, action="perform",
+                    extra_args='', kwargs=''):
+    extra_args = extra_args.split(',') if extra_args else []
+    kwargs = kwargs.split(',') if kwargs else []
+
+    if by:
+        str_doc = "The {0} is {1}ed along all axes except the given one(s). " \
+                  "The default (no axis or group) is to {1} the {0} " \
+                  "over all the dimensions of the input array.".format(desc, action)
+    else:
+        str_doc = "Axis(es) or group(s) along the {0} is {1}ed. " \
+                  " The default (no axis or group) is to {1} the {0} " \
+                  "over all the dimensions of the input array.".format(desc, action)
+
+    args_doc = \
+        """
+        Parameters
+        ----------
+        {0}
+        \*args : None or int or str or Axis or Group or any combination of those
+
+            {1}
+
+            An axis can be referred by:
+
+            * its position (integer). Position can be a negative integer,
+              in which case it counts from the last to the first axis.
+            * its name (str or AxisReference). You can use either a simple
+              string ('axis_name') or the special variable x (x.axis_name).
+            * a variable (Axis). If the axis has been defined previously
+              and assigned to a variable, you can pass it as argument.
+
+            You may not want to {2} the {3} over a whole axis but
+            over a selection of specific labels. To do so, you have several
+            possibilities:
+
+            * (['a1', 'a3', 'a5'], 'b1, b3, b5') :
+              labels separated by commas in a list or a string
+            * ('a1:a5:2') : select labels using a slice
+              (general syntax is 'start:end:step' where is 'step' is
+              optional and 1 by default).
+            * (a='a1, a2, a3', x.b['b1, b2, b3']) :
+              in case of possible ambiguity, i.e. if labels
+              can belong to more than one axis, you must precise the axis.
+            * ('a1:a3; a5:a7', b='b0,b2; b1,b3') :
+              create several groups with semicolons.
+              Names are simply given by the concatenation of labels
+              (here: 'a1,a2,a3', 'a5,a6,a7', 'b0,b2' and 'b1,b3')
+            * ('a1:a3 >> a123', 'b[b0,b2] >> b12') :
+              operator ' >> ' allows to rename groups.
+
+        \**kwargs :
+        {4}
+        """.format("".join(_arg_agg[arg] for arg in extra_args),
+                   str_doc, action, desc,
+                   "".join(_kwarg_agg[kw] for kw in kwargs))
+
+    return args_doc
+
+
+class LArray(object):
+    """
+    A LArray object represents a multidimensional, homogeneous
+    array of fixed-size items with labeled axes.
+
+    The function :func:`aslarray` can be used to convert a
+    NumPy array or PandaS DataFrame into a LArray.
+
+    Parameters
+    ----------
+    data : scalar, tuple, list or NumPy ndarray
+        Input data.
     axes : collection (tuple, list or AxisCollection) of axes \
     (int, str or  Axis), optional
         Axes.
@@ -4133,8 +3779,7 @@ class LArray(object):
     See Also
     --------
     create_sequential : Create a LArray by sequentially
-                        applying modifications to the array
-                        along axis.
+                        applying modifications to the array along axis.
     ndrange : Create a LArray with increasing elements.
     zeros : Create a LArray, each element of which is zero.
     ones : Create a LArray, each element of which is 1.
@@ -5414,7 +5059,7 @@ def drop_labels(self, axes=None):
         a\\b | b2 | b3
          a1 |  0 |  1
          a2 |  4 |  9
-        >>> arr1.drop_labels('a') * arr2.drop_labels('b')
+        >>> arr1.drop_labels(x.a) * arr2.drop_labels(x.b)
         a\\b | b1 | b2
          a1 |  0 |  1
          a2 |  4 |  9
@@ -6344,8 +5989,11 @@ def method(self, *args, **kwargs):
             return self._aggregate(func, args, kwargs,
                                    keepaxes=keepaxes,
                                    commutative=commutative)
+
+        # TODO : only works for axes, not groups currently
         def method_by(self, *args, **kwargs):
             return method(self, *(self.axes - args), **kwargs)
+
         if name is None:
             name = npfunc.__name__
         method.__name__ = name
@@ -6353,15 +6001,827 @@ def method_by(self, *args, **kwargs):
         return method, method_by
 
     all, all_by = _agg_method(np.all, commutative=True)
+    all.__doc__ = """
+        Test whether all selected elements evaluate to True.
+
+        {}
+
+        Returns
+        -------
+        LArray of bool or bool
+
+        See Also
+        --------
+        LArray.all_by, LArray.any, LArray.any_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> barr = arr < 6
+        >>> barr
+        a\\b |    b0 |    b1 |    b2 |    b3
+         a0 |  True |  True |  True |  True
+         a1 |  True |  True | False | False
+         a2 | False | False | False | False
+         a3 | False | False | False | False
+        >>> barr.all()
+        False
+        >>> # along axis 'a'
+        >>> barr.all(x.a)
+        b |    b0 |    b1 |    b2 |    b3
+          | False | False | False | False
+        >>> # along axis 'b'
+        >>> barr.all(x.b)
+        a |   a0 |    a1 |    a2 |    a3
+          | True | False | False | False
+
+        Select some rows only
+
+        >>> barr.all(['a0', 'a1'])
+        b |   b0 |   b1 |    b2 |    b3
+          | True | True | False | False
+        >>> # or equivalently
+        >>> # barr.all('a0,a1')
+
+        Split an axis in several parts
+
+        >>> barr.all((['a0', 'a1'], ['a2', 'a3']))
+          a\\b |    b0 |    b1 |    b2 |    b3
+        a0,a1 |  True |  True | False | False
+        a2,a3 | False | False | False | False
+        >>> # or equivalently
+        >>> # barr.all('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> barr.all((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b |    b0 |    b1 |    b2 |    b3
+        a01 |  True |  True | False | False
+        a23 | False | False | False | False
+        >>> # or equivalently
+        >>> # barr.all('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("AND reduction", kwargs="out,skipna,keepaxes"))
+
+    all_by.__doc__ = """
+        Test whether all selected elements evaluate to True.
+
+        {}
+
+        Returns
+        -------
+        LArray of bool or bool
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.all, LArray.any, LArray.any_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> barr = arr < 6
+        >>> barr
+        a\\b |    b0 |    b1 |    b2 |    b3
+         a0 |  True |  True |  True |  True
+         a1 |  True |  True | False | False
+         a2 | False | False | False | False
+         a3 | False | False | False | False
+        >>> barr.all_by()
+        False
+        >>> # by axis 'a'
+        >>> barr.all_by(x.a)
+        a |   a0 |    a1 |    a2 |    a3
+          | True | False | False | False
+        >>> # by axis 'b'
+        >>> barr.all_by(x.b)
+        b |    b0 |    b1 |    b2 |    b3
+          | False | False | False | False
+        """.format(_doc_agg_method("AND reduction", by=True, kwargs="out,skipna,keepaxes"))
+
     any, any_by = _agg_method(np.any, commutative=True)
+    any.__doc__ = """
+        Test whether any selected elements evaluate to True.
+
+        {}
+
+        Returns
+        -------
+        LArray of bool or bool
+
+        See Also
+        --------
+        LArray.any_by, LArray.all, LArray.all_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> barr = arr < 6
+        >>> barr
+        a\\b |    b0 |    b1 |    b2 |    b3
+         a0 |  True |  True |  True |  True
+         a1 |  True |  True | False | False
+         a2 | False | False | False | False
+         a3 | False | False | False | False
+        >>> barr.any()
+        True
+        >>> # along axis 'a'
+        >>> barr.any(x.a)
+        b |   b0 |   b1 |   b2 |   b3
+          | True | True | True | True
+        >>> # along axis 'b'
+        >>> barr.any(x.b)
+        a |   a0 |   a1 |    a2 |    a3
+          | True | True | False | False
+
+        Select some rows only
+
+        >>> barr.any(['a0', 'a1'])
+        b |   b0 |   b1 |   b2 |   b3
+          | True | True | True | True
+        >>> # or equivalently
+        >>> # barr.any('a0,a1')
+
+        Split an axis in several parts
+
+        >>> barr.any((['a0', 'a1'], ['a2', 'a3']))
+          a\\b |    b0 |    b1 |    b2 |    b3
+        a0,a1 |  True |  True |  True |  True
+        a2,a3 | False | False | False | False
+        >>> # or equivalently
+        >>> # barr.any('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> barr.any((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b |    b0 |    b1 |    b2 |    b3
+        a01 |  True |  True |  True |  True
+        a23 | False | False | False | False
+        >>> # or equivalently
+        >>> # barr.any('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("OR reduction", kwargs="out,skipna,keepaxes"))
+
+    any_by.__doc__ = """
+        Test whether any selected elements evaluate to True.
+
+        {}
+
+        Returns
+        -------
+        LArray of bool or bool
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.any, LArray.all, LArray.all_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> barr = arr < 6
+        >>> barr
+        a\\b |    b0 |    b1 |    b2 |    b3
+         a0 |  True |  True |  True |  True
+         a1 |  True |  True | False | False
+         a2 | False | False | False | False
+         a3 | False | False | False | False
+        >>> barr.any_by()
+        True
+        >>> # by axis 'a'
+        >>> barr.any_by(x.a)
+        a |   a0 |   a1 |    a2 |    a3
+          | True | True | False | False
+        >>> # by axis 'b'
+        >>> barr.any_by(x.b)
+        b |   b0 |   b1 |   b2 |   b3
+          | True | True | True | True
+        """.format(_doc_agg_method("OR reduction", by=True, kwargs="out,skipna,keepaxes"))
+
     # commutative modulo float precision errors
+
     sum, sum_by = _agg_method(np.sum, np.nansum, commutative=True)
+    sum.__doc__ = """
+        Computes the sum of array elements along given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.sum_by, LArray.prod, LArray.prod_by,
+        LArray.cumsum, LArray.cumprod
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.sum()
+        120
+        >>> # along axis 'a'
+        >>> arr.sum(x.a)
+        b | b0 | b1 | b2 | b3
+          | 24 | 28 | 32 | 36
+        >>> # along axis 'b'
+        >>> arr.sum(x.b)
+        a | a0 | a1 | a2 | a3
+          |  6 | 22 | 38 | 54
+
+        Select some rows only
+
+        >>> arr.sum(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  4 |  6 |  8 | 10
+        >>> # or equivalently
+        >>> # arr.sum('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.sum((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  4 |  6 |  8 | 10
+        a2,a3 | 20 | 22 | 24 | 26
+        >>> # or equivalently
+        >>> # arr.sum('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.sum((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  4 |  6 |  8 | 10
+        a23 | 20 | 22 | 24 | 26
+        >>> # or equivalently
+        >>> # arr.sum('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("sum", kwargs="dtype,out,skipna,keepaxes"))
+
+    sum_by.__doc__ = """
+        Computes the sum of array elements for the given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.sum, LArray.prod, LArray.prod_by,
+        LArray.cumsum, LArray.cumprod
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.sum_by()
+        120
+        >>> # along axis 'a'
+        >>> arr.sum_by(x.a)
+        a | a0 | a1 | a2 | a3
+          |  6 | 22 | 38 | 54
+        >>> # along axis 'b'
+        >>> arr.sum_by(x.b)
+        b | b0 | b1 | b2 | b3
+          | 24 | 28 | 32 | 36
+        """.format(_doc_agg_method("sum", by=True, kwargs="dtype,out,skipna,keepaxes"))
+
     # nanprod needs numpy 1.10
     prod, prod_by = _agg_method(np.prod, np_nanprod, commutative=True)
+    prod.__doc__ = """
+        Computes the product of array elements along given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.prod_by, LArray.sum, LArray.sum_by,
+        LArray.cumsum, LArray.cumprod
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.prod()
+        0
+        >>> # along axis 'a'
+        >>> arr.prod(x.a)
+        b | b0 |  b1 |   b2 |   b3
+          |  0 | 585 | 1680 | 3465
+        >>> # along axis 'b'
+        >>> arr.prod(x.b)
+        a | a0 |  a1 |   a2 |    a3
+          |  0 | 840 | 7920 | 32760
+
+        Select some rows only
+
+        >>> arr.prod(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  0 |  5 | 12 | 21
+        >>> # or equivalently
+        >>> # arr.prod('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.prod((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 |  b1 |  b2 |  b3
+        a0,a1 |  0 |   5 |  12 |  21
+        a2,a3 | 96 | 117 | 140 | 165
+        >>> # or equivalently
+        >>> # arr.prod('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.prod((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 |  b1 |  b2 |  b3
+        a01 |  0 |   5 |  12 |  21
+        a23 | 96 | 117 | 140 | 165
+        >>> # or equivalently
+        >>> # arr.prod('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("product", kwargs="dtype,out,skipna,keepaxes"))
+
+    prod_by.__doc__ = """
+        Computes the product of array elements for the given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.prod, LArray.sum, LArray.sum_by,
+        LArray.cumsum, LArray.cumprod
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.prod_by()
+        0
+        >>> # along axis 'a'
+        >>> arr.prod_by(x.a)
+        a | a0 |  a1 |   a2 |    a3
+          |  0 | 840 | 7920 | 32760
+        >>> # along axis 'b'
+        >>> arr.prod_by(x.b)
+        b | b0 |  b1 |   b2 |   b3
+          |  0 | 585 | 1680 | 3465
+        """.format(_doc_agg_method("product", by=True, kwargs="dtype,out,skipna,keepaxes"))
+
     min, min_by = _agg_method(np.min, np.nanmin, commutative=True)
+    min.__doc__ = """
+        Get minimum of array elements along given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.min_by, LArray.max, LArray.max_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.min()
+        0
+        >>> # along axis 'a'
+        >>> arr.min(x.a)
+        b | b0 | b1 | b2 | b3
+          |  0 |  1 |  2 |  3
+        >>> # along axis 'b'
+        >>> arr.min(x.b)
+        a | a0 | a1 | a2 | a3
+          |  0 |  4 |  8 | 12
+
+        Select some rows only
+
+        >>> arr.min(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  0 |  1 |  2 |  3
+        >>> # or equivalently
+        >>> # arr.min('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.min((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  0 |  1 |  2 |  3
+        a2,a3 |  8 |  9 | 10 | 11
+        >>> # or equivalently
+        >>> # arr.min('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.min((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  0 |  1 |  2 |  3
+        a23 |  8 |  9 | 10 | 11
+        >>> # or equivalently
+        >>> # arr.min('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("minimum", action="search",
+                                   kwargs="out,skipna,keepaxes"))
+
+    min_by.__doc__ = """
+        Get minimum of array elements for the given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.min, LArray.max, LArray.max_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.min_by()
+        0
+        >>> # along axis 'a'
+        >>> arr.min_by(x.a)
+        a | a0 | a1 | a2 | a3
+          |  0 |  4 |  8 | 12
+        >>> # along axis 'b'
+        >>> arr.min_by(x.b)
+        b | b0 | b1 | b2 | b3
+          |  0 |  1 |  2 |  3
+        """.format(_doc_agg_method("minimum", by=True, action="search",
+                                   kwargs="out,skipna,keepaxes"))
+
     max, max_by = _agg_method(np.max, np.nanmax, commutative=True)
+    max.__doc__ = """
+        Get maximum of array elements along given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.max_by, LArray.min, LArray.min_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.max()
+        15
+        >>> # along axis 'a'
+        >>> arr.max(x.a)
+        b | b0 | b1 | b2 | b3
+          | 12 | 13 | 14 | 15
+        >>> # along axis 'b'
+        >>> arr.max(x.b)
+        a | a0 | a1 | a2 | a3
+          |  3 |  7 | 11 | 15
+
+        Select some rows only
+
+        >>> arr.max(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  4 |  5 |  6 |  7
+        >>> # or equivalently
+        >>> # arr.max('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.max((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  4 |  5 |  6 |  7
+        a2,a3 | 12 | 13 | 14 | 15
+        >>> # or equivalently
+        >>> # arr.max('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.max((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  4 |  5 |  6 |  7
+        a23 | 12 | 13 | 14 | 15
+        >>> # or equivalently
+        >>> # arr.max('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("maximum", action="search",
+                                   kwargs="out,skipna,keepaxes"))
+
+    max_by.__doc__ = """
+        Get maximum of array elements for the given axes/groups.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.max, LArray.min, LArray.min_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.max_by()
+        15
+        >>> # along axis 'a'
+        >>> arr.max_by(x.a)
+        a | a0 | a1 | a2 | a3
+          |  3 |  7 | 11 | 15
+        >>> # along axis 'b'
+        >>> arr.max_by(x.b)
+        b | b0 | b1 | b2 | b3
+          | 12 | 13 | 14 | 15
+        """.format(_doc_agg_method("maximum", by=True, action="search",
+                                   kwargs="out,skipna,keepaxes"))
+
     mean, mean_by = _agg_method(np.mean, np.nanmean, commutative=True)
+    mean.__doc__ = """
+        Computes the arithmetic mean.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.mean_by, LArray.median, LArray.median_by,
+        LArray.var, LArray.var_by, LArray.std, LArray.std_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.mean()
+        7.5
+        >>> # along axis 'a'
+        >>> arr.mean(x.a)
+        b |  b0 |  b1 |  b2 |  b3
+          | 6.0 | 7.0 | 8.0 | 9.0
+        >>> # along axis 'b'
+        >>> arr.mean(x.b)
+        a |  a0 |  a1 |  a2 |   a3
+          | 1.5 | 5.5 | 9.5 | 13.5
+
+        Select some rows only
+
+        >>> arr.mean(['a0', 'a1'])
+        b |  b0 |  b1 |  b2 |  b3
+          | 2.0 | 3.0 | 4.0 | 5.0
+        >>> # or equivalently
+        >>> # arr.mean('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.mean((['a0', 'a1'], ['a2', 'a3']))
+          a\\b |   b0 |   b1 |   b2 |   b3
+        a0,a1 |  2.0 |  3.0 |  4.0 |  5.0
+        a2,a3 | 10.0 | 11.0 | 12.0 | 13.0
+        >>> # or equivalently
+        >>> # arr.mean('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.mean((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b |   b0 |   b1 |   b2 |   b3
+        a01 |  2.0 |  3.0 |  4.0 |  5.0
+        a23 | 10.0 | 11.0 | 12.0 | 13.0
+        >>> # or equivalently
+        >>> # arr.mean('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("mean", kwargs="dtype,out,skipna,keepaxes"))
+
+    mean_by.__doc__ = """
+        Computes the arithmetic mean.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.mean, LArray.median, LArray.median_by,
+        LArray.var, LArray.var_by, LArray.std, LArray.std_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.mean()
+        7.5
+        >>> # along axis 'a'
+        >>> arr.mean_by(x.a)
+        a |  a0 |  a1 |  a2 |   a3
+          | 1.5 | 5.5 | 9.5 | 13.5
+        >>> # along axis 'b'
+        >>> arr.mean_by(x.b)
+        b |  b0 |  b1 |  b2 |  b3
+          | 6.0 | 7.0 | 8.0 | 9.0
+        """.format(_doc_agg_method("mean", by=True, kwargs="dtype,out,skipna,keepaxes"))
+
     median, median_by = _agg_method(np.median, np.nanmedian, commutative=True)
+    median.__doc__ = """
+        Computes the arithmetic median.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.median_by, LArray.mean, LArray.mean_by,
+        LArray.var, LArray.var_by, LArray.std, LArray.std_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr[:,:] = [[10, 7, 5, 9], \
+                        [5, 8, 3, 7], \
+                        [6, 2, 0, 9], \
+                        [9, 10, 5, 6]]
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 | 10 |  7 |  5 |  9
+         a1 |  5 |  8 |  3 |  7
+         a2 |  6 |  2 |  0 |  9
+         a3 |  9 | 10 |  5 |  6
+        >>> arr.median()
+        6.5
+        >>> # along axis 'a'
+        >>> arr.median(x.a)
+        b |  b0 |  b1 |  b2 |  b3
+          | 7.5 | 7.5 | 4.0 | 8.0
+        >>> # along axis 'b'
+        >>> arr.median(x.b)
+        a |  a0 |  a1 |  a2 |  a3
+          | 8.0 | 6.0 | 4.0 | 7.5
+
+        Select some rows only
+
+        >>> arr.median(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  7 |  7 |  4 |  8
+        >>> # or equivalently
+        >>> # arr.median('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.median((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  7 |  7 |  4 |  8
+        a2,a3 |  7 |  6 |  2 |  7
+        >>> # or equivalently
+        >>> # arr.median('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.median((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  7 |  7 |  4 |  8
+        a23 |  7 |  6 |  2 |  7
+        >>> # or equivalently
+        >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("median", kwargs="out,skipna,keepaxes"))
+
+    median_by.__doc__ = """
+        Computes the arithmetic median.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.median, LArray.mean, LArray.mean_by,
+        LArray.var, LArray.var_by, LArray.std, LArray.std_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr[:,:] = [[10, 7, 5, 9], \
+                        [5, 8, 3, 7], \
+                        [6, 2, 0, 9], \
+                        [9, 10, 5, 6]]
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 | 10 |  7 |  5 |  9
+         a1 |  5 |  8 |  3 |  7
+         a2 |  6 |  2 |  0 |  9
+         a3 |  9 | 10 |  5 |  6
+        >>> arr.median_by()
+        6.5
+        >>> # along axis 'a'
+        >>> arr.median_by(x.a)
+        a |  a0 |  a1 |  a2 |  a3
+          | 8.0 | 6.0 | 4.0 | 7.5
+        >>> # along axis 'b'
+        >>> arr.median_by(x.b)
+        b |  b0 |  b1 |  b2 |  b3
+          | 7.5 | 7.5 | 4.0 | 8.0
+        """.format(_doc_agg_method("median", by=True, kwargs="out,skipna,keepaxes"))
 
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
@@ -6374,19 +6834,481 @@ def percentile(self, q, *args, **kwargs):
         return self._aggregate(func, args, kwargs, keepaxes=keepaxes,
                                commutative=True, extra_kwargs={'q': q})
 
+    percentile.__doc__ = """
+        Computes the qth percentile of the data along the specified axis.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.percentile_by, LArray.mean, LArray.mean_by,
+        LArray.median, LArray.median_by, LArray.var, LArray.var_by,
+        LArray.std, LArray.std_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.percentile(25)
+        3.75
+        >>> # along axis 'a'
+        >>> arr.percentile(25, x.a)
+        b |  b0 |  b1 |  b2 |  b3
+          | 3.0 | 4.0 | 5.0 | 6.0
+        >>> # along axis 'b'
+        >>> arr.percentile(25, x.b)
+        a |   a0 |   a1 |   a2 |    a3
+          | 0.75 | 4.75 | 8.75 | 12.75
+
+        Select some rows only
+
+        >>> arr.percentile(25, ['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  1 |  2 |  3 |  4
+        >>> # or equivalently
+        >>> # arr.percentile(25, 'a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.percentile(25, (['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  1 |  2 |  3 |  4
+        a2,a3 |  9 | 10 | 11 | 12
+        >>> # or equivalently
+        >>> # arr.percentile(25, 'a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.percentile(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  1 |  2 |  3 |  4
+        a23 |  9 | 10 | 11 | 12
+        >>> # or equivalently
+        >>> # arr.percentile(25, 'a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("qth percentile", extra_args="q",
+                                   kwargs="out,interpolation,skipna,keepaxes"))
+
+    # TODO : only works with axes, not groups
     def percentile_by(self, q, *args, **kwargs):
         return self.percentile(q, *(self.axes - args), **kwargs)
 
+    percentile_by.__doc__ = """
+        Computes the qth percentile of the data for the specified axis.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.percentile, LArray.mean, LArray.mean_by,
+        LArray.median, LArray.median_by, LArray.var, LArray.var_by,
+        LArray.std, LArray.std_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.percentile_by(25)
+        3.75
+        >>> # along axis 'a'
+        >>> arr.percentile_by(25, x.a)
+        a |   a0 |   a1 |   a2 |    a3
+          | 0.75 | 4.75 | 8.75 | 12.75
+        >>> # along axis 'b'
+        >>> arr.percentile_by(25, x.b)
+        b |  b0 |  b1 |  b2 |  b3
+          | 3.0 | 4.0 | 5.0 | 6.0
+        """.format(_doc_agg_method("qth percentile", by=True, extra_args="q",
+                                   kwargs="out,interpolation,skipna,keepaxes"))
+
     # not commutative
     ptp, _ = _agg_method(np.ptp)
+    ptp.__doc__ = """
+        Returns the range of values (maximum - minimum).
+
+        The name of the function comes from the acronym for ‘peak to peak’.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.ptp()
+        15
+        >>> # along axis 'a'
+        >>> arr.ptp(x.a)
+        b | b0 | b1 | b2 | b3
+          | 12 | 12 | 12 | 12
+        >>> # along axis 'b'
+        >>> arr.ptp(x.b)
+        a | a0 | a1 | a2 | a3
+          |  3 |  3 |  3 |  3
+
+        Select some rows only
+
+        >>> arr.ptp(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  4 |  4 |  4 |  4
+        >>> # or equivalently
+        >>> # arr.ptp('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.ptp((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  4 |  4 |  4 |  4
+        a2,a3 |  4 |  4 |  4 |  4
+        >>> # or equivalently
+        >>> # arr.ptp('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.ptp((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  4 |  4 |  4 |  4
+        a23 |  4 |  4 |  4 |  4
+        >>> # or equivalently
+        >>> # arr.ptp('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("ptp", kwargs="out"))
+
     var, var_by = _agg_method(np.var, np.nanvar)
+    var.__doc__ = """
+        Computes the variance.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.var_by, LArray.std, LArray.std_by,
+        LArray.mean, LArray.mean_by, LArray.median, LArray.median_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr[:,:] = [[10, 7, 5, 9], \
+                        [5, 8, 3, 7], \
+                        [6, 2, 0, 9], \
+                        [9, 10, 5, 6]]
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 | 10 |  7 |  5 |  9
+         a1 |  5 |  8 |  3 |  7
+         a2 |  6 |  2 |  0 |  9
+         a3 |  9 | 10 |  5 |  6
+        >>> arr.var()
+        7.96484375
+        >>> # along axis 'a'
+        >>> arr.var(x.a)
+        b |   b0 |     b1 |     b2 |     b3
+          | 4.25 | 8.6875 | 4.1875 | 1.6875
+        >>> # along axis 'b'
+        >>> arr.var(x.b)
+        a |     a0 |     a1 |      a2 |   a3
+          | 3.6875 | 3.6875 | 12.1875 | 4.25
+
+        Select some rows only
+
+        >>> arr.var(['a0', 'a1'])
+        b | b0 | b1 | b2 | b3
+          |  6 |  0 |  1 |  1
+        >>> # or equivalently
+        >>> # arr.var('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.var((['a0', 'a1'], ['a2', 'a3']))
+          a\\b | b0 | b1 | b2 | b3
+        a0,a1 |  6 |  0 |  1 |  1
+        a2,a3 |  2 | 16 |  6 |  2
+        >>> # or equivalently
+        >>> # arr.var('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.var((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b | b0 | b1 | b2 | b3
+        a01 |  6 |  0 |  1 |  1
+        a23 |  2 | 16 |  6 |  2
+        >>> # or equivalently
+        >>> # arr.var('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("variance", kwargs="dtype,out,ddof,skipna,keepaxes"))
+
+    var_by.__doc__ = """
+        Computes the variance.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.var, LArray.std, LArray.std_by,
+        LArray.mean, LArray.mean_by, LArray.median, LArray.median_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr[:,:] = [[10, 7, 5, 9], \
+                        [5, 8, 3, 7], \
+                        [6, 2, 0, 9], \
+                        [9, 10, 5, 6]]
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 | 10 |  7 |  5 |  9
+         a1 |  5 |  8 |  3 |  7
+         a2 |  6 |  2 |  0 |  9
+         a3 |  9 | 10 |  5 |  6
+        >>> arr.var_by()
+        7.96484375
+        >>> # along axis 'a'
+        >>> arr.var_by(x.a)
+        a |     a0 |     a1 |      a2 |   a3
+          | 3.6875 | 3.6875 | 12.1875 | 4.25
+        >>> # along axis 'b'
+        >>> arr.var_by(x.b)
+        b |   b0 |     b1 |     b2 |     b3
+          | 4.25 | 8.6875 | 4.1875 | 1.6875
+        """.format(_doc_agg_method("variance", by=True,
+                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
+
     std, std_by = _agg_method(np.std, np.nanstd)
+    std.__doc__ = """
+        Computes the standard deviation.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.std_by, LArray.var, LArray.var_by,
+        LArray.mean, LArray.mean_by, LArray.median, LArray.median_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4), dtype=float)
+        >>> arr[:,:] = [[10, 5, 7, 12], \
+                        [5, 8, 7, 9], \
+                        [5, 5, 3, 9], \
+                        [10, 8, 3, 12]]
+        >>> arr
+        a\\b |   b0 |  b1 |  b2 |   b3
+         a0 | 10.0 | 5.0 | 7.0 | 12.0
+         a1 |  5.0 | 8.0 | 7.0 |  9.0
+         a2 |  5.0 | 5.0 | 3.0 |  9.0
+         a3 | 10.0 | 8.0 | 3.0 | 12.0
+        >>> arr.std()
+        2.7810744326608736
+        >>> # along axis 'a'
+        >>> arr.std(x.a)
+        b |  b0 |  b1 |  b2 |  b3
+          | 2.5 | 1.5 | 2.0 | 1.5
+
+        Select some rows only
+
+        >>> arr.std(['a0', 'a1'])
+        b |  b0 |  b1 |  b2 |  b3
+          | 2.5 | 1.5 | 0.0 | 1.5
+        >>> # or equivalently
+        >>> # arr.std('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.std((['a0', 'a1'], ['a2', 'a3']))
+          a\\b |  b0 |  b1 |  b2 |  b3
+        a0,a1 | 2.5 | 1.5 | 0.0 | 1.5
+        a2,a3 | 2.5 | 1.5 | 0.0 | 1.5
+        >>> # or equivalently
+        >>> # arr.std('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.std((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a\\b |  b0 |  b1 |  b2 |  b3
+        a01 | 2.5 | 1.5 | 0.0 | 1.5
+        a23 | 2.5 | 1.5 | 0.0 | 1.5
+        >>> # or equivalently
+        >>> # arr.std('a0,a1>>a01;a2,a3>>a23')
+        """.format(_doc_agg_method("standard deviation",
+                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
+
+    std_by.__doc__ = """
+        Computes the standard deviation.
+
+        {}
+
+        Returns
+        -------
+        LArray or scalar
+            The resulting array will have the axes/groups given as arguments.
+
+        See Also
+        --------
+        LArray.std_by, LArray.var, LArray.var_by,
+        LArray.mean, LArray.mean_by, LArray.median, LArray.median_by,
+        LArray.percentile, LArray.percentile_by
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4), dtype=float)
+        >>> arr[:,:] = [[10, 5, 7, 12], \
+                        [5, 8, 7, 9], \
+                        [5, 5, 3, 9], \
+                        [10, 8, 3, 12]]
+        >>> arr
+        a\\b |   b0 |  b1 |  b2 |   b3
+         a0 | 10.0 | 5.0 | 7.0 | 12.0
+         a1 |  5.0 | 8.0 | 7.0 |  9.0
+         a2 |  5.0 | 5.0 | 3.0 |  9.0
+         a3 | 10.0 | 8.0 | 3.0 | 12.0
+        >>> arr.std_by()
+        2.7810744326608736
+        >>> # along axis 'b'
+        >>> arr.std_by(x.b)
+        b |  b0 |  b1 |  b2 |  b3
+          | 2.5 | 1.5 | 2.0 | 1.5
+        """.format(_doc_agg_method("standard deviation", by=True,
+                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
 
     # cumulative aggregates
     def cumsum(self, axis=-1):
+        """
+        Returns the cumulative sum of array elements along an axis.
+
+        Parameters
+        ----------
+        axis : int or str or Axis, optional
+            Axis along which to perform the cumulative sum.
+            If given as position, it can be a negative integer,
+            in which case it counts from the last to the first axis.
+            By default, the cumulative sum is performed
+            along the last axis.
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.cumprod, LArray.sum, LArray.sum_by,
+        LArray.prod, LArray.prod_by
+
+        Notes
+        -----
+        Cumulative aggregation functions accept only one axis
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.cumsum()
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  3 |  6
+         a1 |  4 |  9 | 15 | 22
+         a2 |  8 | 17 | 27 | 38
+         a3 | 12 | 25 | 39 | 54
+        >>> arr.cumsum(x.a)
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  6 |  8 | 10
+         a2 | 12 | 15 | 18 | 21
+         a3 | 24 | 28 | 32 | 36
+        """
         return self._cum_aggregate(np.cumsum, axis)
 
     def cumprod(self, axis=-1):
+        """
+        Returns the cumulative product of array elements.
+
+        Parameters
+        ----------
+        axis : int or str or Axis, optional
+            Axis along which to perform the cumulative product.
+            If given as position, it can be a negative integer,
+            in which case it counts from the last to the first axis.
+            By default, the cumulative product is performed
+            along the last axis.
+
+        Returns
+        -------
+        LArray or scalar
+
+        See Also
+        --------
+        LArray.cumsum, LArray.sum, LArray.sum_by,
+        LArray.prod, LArray.prod_by
+
+        Notes
+        -----
+        Cumulative aggregation functions accept only one axis.
+
+        Examples
+        --------
+        >>> arr = ndtest((4, 4))
+        >>> arr
+        a\\b | b0 | b1 | b2 | b3
+         a0 |  0 |  1 |  2 |  3
+         a1 |  4 |  5 |  6 |  7
+         a2 |  8 |  9 | 10 | 11
+         a3 | 12 | 13 | 14 | 15
+        >>> arr.cumprod()
+        a\\b | b0 |  b1 |   b2 |    b3
+         a0 |  0 |   0 |    0 |     0
+         a1 |  4 |  20 |  120 |   840
+         a2 |  8 |  72 |  720 |  7920
+         a3 | 12 | 156 | 2184 | 32760
+        >>> arr.cumprod(x.a)
+        a\\b | b0 |  b1 |   b2 |   b3
+         a0 |  0 |   1 |    2 |    3
+         a1 |  0 |   5 |   12 |   21
+         a2 |  0 |  45 |  120 |  231
+         a3 |  0 | 585 | 1680 | 3465
+        """
         return self._cum_aggregate(np.cumprod, axis)
 
     # element-wise method factory
@@ -7684,8 +8606,8 @@ def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
     """
     Reads csv file and returns an array with the contents.
 
-    Note
-    ----
+    Notes
+    -----
     csv file format:
     arr,ages,sex,nat\time,1991,1992,1993
     A1,BI,H,BE,1,0,0
@@ -8440,6 +9362,7 @@ def ndrange(axes, start=0, title='', dtype=int):
     axes : single axis or tuple/list/AxisCollection of axes
         Axes of the array to create.
         Each axis can be given as either:
+
         * Axis object: actual axis object to use.
         * single int: length of axis. will create a wildcard axis of that
                       length.

From 3f22b88ab02a6d165174180d87d00ce385f39017 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 31 Jan 2017 16:18:46 +0100
Subject: [PATCH 327/899] Fix #59 (xxx_by with groups) (#75)

Implemented "by" aggregates for groups
---
 larray/core.py          | 72 ++++++++++++++++++++++++++++-------------
 larray/tests/test_la.py | 58 +++++++++++++++++++++++++++++++++
 2 files changed, 107 insertions(+), 23 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 972866518..05e566a2a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5421,10 +5421,25 @@ def standardise_arg(arg, stack_depth=1):
             operations = self.axes
         return operations
 
-    def _aggregate(self, op, args, kwargs=None, keepaxes=False,
+    def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False,
                    commutative=False, out=None, extra_kwargs={}):
         operations = self._prepare_aggregate(op, args, kwargs, commutative,
                                              stack_depth=3)
+        if by_agg and operations != self.axes:
+            # get axes to aggregate
+            flat_op = chain.from_iterable([(o,) if isinstance(o, (Group, Axis))
+                                           else o for o in operations])
+            axes = [o.axis if isinstance(o, Group) else o for o in flat_op]
+            to_agg = self.axes - axes
+
+            # add groups to axes to aggregate
+            def is_or_contains_group(o):
+                return isinstance(o, Group) or \
+                       (isinstance(o, tuple) and isinstance(o[0], Group))
+
+            operations = list(to_agg) + \
+                         [o for o in operations if is_or_contains_group(o)]
+
         res = self
         # group *consecutive* same-type (group vs axis aggregates) operations
         # we do not change the order of operations since we only group
@@ -5976,7 +5991,7 @@ def percent(self, *axes):
         return self * 100 / self.sum(*axes)
 
     # aggregate method factory
-    def _agg_method(npfunc, nanfunc=None, name=None, commutative=False):
+    def _agg_method(npfunc, nanfunc=None, name=None, commutative=False, by_agg=False):
         def method(self, *args, **kwargs):
             keepaxes = kwargs.pop('keepaxes', False)
             skipna = kwargs.pop('skipna', None)
@@ -5986,21 +6001,17 @@ def method(self, *args, **kwargs):
                 raise ValueError("skipna is not available for %s" % name)
             # func = npfunc
             func = nanfunc if skipna else npfunc
-            return self._aggregate(func, args, kwargs,
+            return self._aggregate(func, args, kwargs, by_agg=by_agg,
                                    keepaxes=keepaxes,
                                    commutative=commutative)
-
-        # TODO : only works for axes, not groups currently
-        def method_by(self, *args, **kwargs):
-            return method(self, *(self.axes - args), **kwargs)
-
         if name is None:
             name = npfunc.__name__
+        if by_agg:
+            name += "_by"
         method.__name__ = name
-        method_by.__name__ = name + "_by"
-        return method, method_by
+        return method
 
-    all, all_by = _agg_method(np.all, commutative=True)
+    all = _agg_method(np.all, commutative=True)
     all.__doc__ = """
         Test whether all selected elements evaluate to True.
 
@@ -6068,6 +6079,7 @@ def method_by(self, *args, **kwargs):
         >>> # barr.all('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("AND reduction", kwargs="out,skipna,keepaxes"))
 
+    all_by = _agg_method(np.all, commutative=True, by_agg=True)
     all_by.__doc__ = """
         Test whether all selected elements evaluate to True.
 
@@ -6110,7 +6122,7 @@ def method_by(self, *args, **kwargs):
           | False | False | False | False
         """.format(_doc_agg_method("AND reduction", by=True, kwargs="out,skipna,keepaxes"))
 
-    any, any_by = _agg_method(np.any, commutative=True)
+    any = _agg_method(np.any, commutative=True)
     any.__doc__ = """
         Test whether any selected elements evaluate to True.
 
@@ -6178,6 +6190,7 @@ def method_by(self, *args, **kwargs):
         >>> # barr.any('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("OR reduction", kwargs="out,skipna,keepaxes"))
 
+    any_by = _agg_method(np.any, commutative=True, by_agg=True)
     any_by.__doc__ = """
         Test whether any selected elements evaluate to True.
 
@@ -6222,7 +6235,7 @@ def method_by(self, *args, **kwargs):
 
     # commutative modulo float precision errors
 
-    sum, sum_by = _agg_method(np.sum, np.nansum, commutative=True)
+    sum = _agg_method(np.sum, np.nansum, commutative=True)
     sum.__doc__ = """
         Computes the sum of array elements along given axes/groups.
 
@@ -6284,6 +6297,7 @@ def method_by(self, *args, **kwargs):
         >>> # arr.sum('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("sum", kwargs="dtype,out,skipna,keepaxes"))
 
+    sum_by = _agg_method(np.sum, np.nansum, commutative=True, by_agg=True)
     sum_by.__doc__ = """
         Computes the sum of array elements for the given axes/groups.
 
@@ -6321,7 +6335,7 @@ def method_by(self, *args, **kwargs):
         """.format(_doc_agg_method("sum", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
     # nanprod needs numpy 1.10
-    prod, prod_by = _agg_method(np.prod, np_nanprod, commutative=True)
+    prod = _agg_method(np.prod, np_nanprod, commutative=True)
     prod.__doc__ = """
         Computes the product of array elements along given axes/groups.
 
@@ -6383,6 +6397,7 @@ def method_by(self, *args, **kwargs):
         >>> # arr.prod('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("product", kwargs="dtype,out,skipna,keepaxes"))
 
+    prod_by = _agg_method(np.prod, np_nanprod, commutative=True, by_agg=True)
     prod_by.__doc__ = """
         Computes the product of array elements for the given axes/groups.
 
@@ -6419,7 +6434,7 @@ def method_by(self, *args, **kwargs):
           |  0 | 585 | 1680 | 3465
         """.format(_doc_agg_method("product", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
-    min, min_by = _agg_method(np.min, np.nanmin, commutative=True)
+    min = _agg_method(np.min, np.nanmin, commutative=True)
     min.__doc__ = """
         Get minimum of array elements along given axes/groups.
 
@@ -6481,6 +6496,7 @@ def method_by(self, *args, **kwargs):
         """.format(_doc_agg_method("minimum", action="search",
                                    kwargs="out,skipna,keepaxes"))
 
+    min_by = _agg_method(np.min, np.nanmin, commutative=True, by_agg=True)
     min_by.__doc__ = """
         Get minimum of array elements for the given axes/groups.
 
@@ -6517,7 +6533,7 @@ def method_by(self, *args, **kwargs):
         """.format(_doc_agg_method("minimum", by=True, action="search",
                                    kwargs="out,skipna,keepaxes"))
 
-    max, max_by = _agg_method(np.max, np.nanmax, commutative=True)
+    max = _agg_method(np.max, np.nanmax, commutative=True)
     max.__doc__ = """
         Get maximum of array elements along given axes/groups.
 
@@ -6579,6 +6595,7 @@ def method_by(self, *args, **kwargs):
         """.format(_doc_agg_method("maximum", action="search",
                                    kwargs="out,skipna,keepaxes"))
 
+    max_by = _agg_method(np.max, np.nanmax, commutative=True, by_agg=True)
     max_by.__doc__ = """
         Get maximum of array elements for the given axes/groups.
 
@@ -6615,7 +6632,7 @@ def method_by(self, *args, **kwargs):
         """.format(_doc_agg_method("maximum", by=True, action="search",
                                    kwargs="out,skipna,keepaxes"))
 
-    mean, mean_by = _agg_method(np.mean, np.nanmean, commutative=True)
+    mean = _agg_method(np.mean, np.nanmean, commutative=True)
     mean.__doc__ = """
         Computes the arithmetic mean.
 
@@ -6678,6 +6695,7 @@ def method_by(self, *args, **kwargs):
         >>> # arr.mean('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("mean", kwargs="dtype,out,skipna,keepaxes"))
 
+    mean_by = _agg_method(np.mean, np.nanmean, commutative=True, by_agg=True)
     mean_by.__doc__ = """
         Computes the arithmetic mean.
 
@@ -6715,7 +6733,7 @@ def method_by(self, *args, **kwargs):
           | 6.0 | 7.0 | 8.0 | 9.0
         """.format(_doc_agg_method("mean", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
-    median, median_by = _agg_method(np.median, np.nanmedian, commutative=True)
+    median = _agg_method(np.median, np.nanmedian, commutative=True)
     median.__doc__ = """
         Computes the arithmetic median.
 
@@ -6782,6 +6800,7 @@ def method_by(self, *args, **kwargs):
         >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("median", kwargs="out,skipna,keepaxes"))
 
+    median_by = _agg_method(np.median, np.nanmedian, commutative=True, by_agg=True)
     median_by.__doc__ = """
         Computes the arithmetic median.
 
@@ -6897,9 +6916,14 @@ def percentile(self, q, *args, **kwargs):
         """.format(_doc_agg_method("qth percentile", extra_args="q",
                                    kwargs="out,interpolation,skipna,keepaxes"))
 
-    # TODO : only works with axes, not groups
     def percentile_by(self, q, *args, **kwargs):
-        return self.percentile(q, *(self.axes - args), **kwargs)
+        keepaxes = kwargs.pop('keepaxes', False)
+        skipna = kwargs.pop('skipna', None)
+        if skipna is None:
+            skipna = True
+        func = np.nanpercentile if skipna else np.percentile
+        return self._aggregate(func, args, kwargs, keepaxes=keepaxes, by_agg=True,
+                               commutative=True, extra_kwargs={'q': q})
 
     percentile_by.__doc__ = """
         Computes the qth percentile of the data for the specified axis.
@@ -6940,7 +6964,7 @@ def percentile_by(self, q, *args, **kwargs):
                                    kwargs="out,interpolation,skipna,keepaxes"))
 
     # not commutative
-    ptp, _ = _agg_method(np.ptp)
+    ptp = _agg_method(np.ptp)
     ptp.__doc__ = """
         Returns the range of values (maximum - minimum).
 
@@ -6999,7 +7023,7 @@ def percentile_by(self, q, *args, **kwargs):
         >>> # arr.ptp('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("ptp", kwargs="out"))
 
-    var, var_by = _agg_method(np.var, np.nanvar)
+    var = _agg_method(np.var, np.nanvar)
     var.__doc__ = """
         Computes the variance.
 
@@ -7066,6 +7090,7 @@ def percentile_by(self, q, *args, **kwargs):
         >>> # arr.var('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("variance", kwargs="dtype,out,ddof,skipna,keepaxes"))
 
+    var_by = _agg_method(np.var, np.nanvar, by_agg=True)
     var_by.__doc__ = """
         Computes the variance.
 
@@ -7108,7 +7133,7 @@ def percentile_by(self, q, *args, **kwargs):
         """.format(_doc_agg_method("variance", by=True,
                                    kwargs="dtype,out,ddof,skipna,keepaxes"))
 
-    std, std_by = _agg_method(np.std, np.nanstd)
+    std = _agg_method(np.std, np.nanstd)
     std.__doc__ = """
         Computes the standard deviation.
 
@@ -7172,6 +7197,7 @@ def percentile_by(self, q, *args, **kwargs):
         """.format(_doc_agg_method("standard deviation",
                                    kwargs="dtype,out,ddof,skipna,keepaxes"))
 
+    std_by = _agg_method(np.std, np.nanstd, by_agg=True)
     std_by.__doc__ = """
         Computes the standard deviation.
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 0a02a3141..7361af1a7 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2490,6 +2490,64 @@ def test_sum_with_groups_from_other_axis(self):
                                      "label for any axis"):
             small.sum(lipro4['P01,P16'])
 
+    def test_agg_by(self):
+        la = self.larray
+        age, geo, sex, lipro = la.axes
+        vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
+        belgium = self.belgium
+
+        # no group or axis
+        self.assertEqual(la.sum_by().shape, ())
+        self.assertEqual(la.sum_by(), la.sum())
+
+        # a) group aggregate on a fresh array
+
+        # a.1) one group
+        res = la.sum_by(geo='A11,A21,A25')
+        self.assertEqual(res.shape, ())
+        self.assertEqual(res, la.sum(geo='A11,A21,A25').sum())
+
+        # a.2) a tuple of one group
+        res = la.sum_by(geo=(geo.all(),))
+        self.assertEqual(res.shape, (1,))
+        assert_array_equal(res, la.sum(age, sex, lipro, geo=(geo.all(),)))
+
+        # a.3) several groups
+        # string groups
+        res = la.sum_by(geo=(vla, wal, bru))
+        self.assertEqual(res.shape, (3,))
+        assert_array_equal(res, la.sum(age, sex, lipro, geo=(vla, wal, bru)))
+
+        # with one label in several groups
+        self.assertEqual(la.sum_by(sex=(['H'], ['H', 'F'])).shape, (2,))
+        self.assertEqual(la.sum_by(sex=('H', 'H,F')).shape, (2,))
+
+        res = la.sum_by(sex='H;H,F')
+        self.assertEqual(res.shape, (2,))
+        assert_array_equal(res, la.sum(age, geo, lipro, sex='H;H,F'))
+
+        # a.4) several dimensions at the same time
+        res = la.sum_by(geo=(vla, wal, bru, belgium), lipro='P01,P03;P02,P05;:')
+        self.assertEqual(res.shape, (4, 3))
+        assert_array_equal(res, la.sum(age, sex, geo=(vla, wal, bru, belgium),
+                                       lipro='P01,P03;P02,P05;:'))
+
+        # b) both axis aggregate and group aggregate at the same time
+        # Note that you must list "full axes" aggregates first (Python does
+        # not allow non-kwargs after kwargs.
+        res = la.sum_by(sex, geo=(vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 2))
+        assert_array_equal(res, la.sum(age, lipro, geo=(vla, wal, bru, belgium)))
+
+        # c) chain group aggregate after axis aggregate
+        res = la.sum_by(geo, sex)
+        self.assertEqual(res.shape, (44, 2))
+        assert_array_equal(res, la.sum(age, lipro))
+
+        res2 = res.sum_by(geo=(vla, wal, bru, belgium))
+        self.assertEqual(res2.shape, (4,))
+        assert_array_equal(res2, res.sum(sex, geo=(vla, wal, bru, belgium)))
+
     def test_ratio(self):
         la = self.larray
         age, geo, sex, lipro = la.axes

From f40f12ff63a0c72642f0a5dea1ae2fa70e2b2fcc Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 31 Jan 2017 16:28:11 +0100
Subject: [PATCH 328/899] Update doctests of xxx_by() methods

---
 larray/core.py | 265 +++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 254 insertions(+), 11 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 05e566a2a..e368826fe 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3696,6 +3696,7 @@ def _doc_agg_method(desc, by=False, action="perform",
 
     if by:
         str_doc = "The {0} is {1}ed along all axes except the given one(s). " \
+                  "For groups, {0} is {1}ed along groups and non associated axes." \
                   "The default (no axis or group) is to {1} the {0} " \
                   "over all the dimensions of the input array.".format(desc, action)
     else:
@@ -6088,7 +6089,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray of bool or bool
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6120,6 +6120,29 @@ def method(self, *args, **kwargs):
         >>> barr.all_by(x.b)
         b |    b0 |    b1 |    b2 |    b3
           | False | False | False | False
+
+        Select some rows only
+
+        >>> barr.all_by(['a0', 'a1'])
+        False
+        >>> # or equivalently
+        >>> # barr.all_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> barr.all_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          | False | False
+        >>> # or equivalently
+        >>> # barr.all_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> barr.all_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a |   a01 |   a23
+          | False | False
+        >>> # or equivalently
+        >>> # barr.all_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("AND reduction", by=True, kwargs="out,skipna,keepaxes"))
 
     any = _agg_method(np.any, commutative=True)
@@ -6199,7 +6222,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray of bool or bool
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6231,6 +6253,29 @@ def method(self, *args, **kwargs):
         >>> barr.any_by(x.b)
         b |   b0 |   b1 |   b2 |   b3
           | True | True | True | True
+
+        Select some rows only
+
+        >>> barr.any_by(['a0', 'a1'])
+        True
+        >>> # or equivalently
+        >>> # barr.any_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> barr.any_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |  True | False
+        >>> # or equivalently
+        >>> # barr.any_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> barr.any_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a |  a01 |   a23
+          | True | False
+        >>> # or equivalently
+        >>> # barr.any_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("OR reduction", by=True, kwargs="out,skipna,keepaxes"))
 
     # commutative modulo float precision errors
@@ -6306,7 +6351,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6332,6 +6376,29 @@ def method(self, *args, **kwargs):
         >>> arr.sum_by(x.b)
         b | b0 | b1 | b2 | b3
           | 24 | 28 | 32 | 36
+
+        Select some rows only
+
+        >>> arr.sum_by(['a0', 'a1'])
+        28
+        >>> # or equivalently
+        >>> # arr.sum_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.sum_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |    28 |    92
+        >>> # or equivalently
+        >>> # arr.sum_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.sum_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 | a23
+          |  28 |  92
+        >>> # or equivalently
+        >>> # arr.sum_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("sum", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
     # nanprod needs numpy 1.10
@@ -6406,7 +6473,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6432,6 +6498,29 @@ def method(self, *args, **kwargs):
         >>> arr.prod_by(x.b)
         b | b0 |  b1 |   b2 |   b3
           |  0 | 585 | 1680 | 3465
+
+        Select some rows only
+
+        >>> arr.prod_by(['a0', 'a1'])
+        0
+        >>> # or equivalently
+        >>> # arr.prod_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.prod_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 |     a2,a3
+          |     0 | 259459200
+        >>> # or equivalently
+        >>> # arr.prod_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.prod_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 |       a23
+          |   0 | 259459200
+        >>> # or equivalently
+        >>> # arr.prod_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("product", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
     min = _agg_method(np.min, np.nanmin, commutative=True)
@@ -6505,7 +6594,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6530,6 +6618,29 @@ def method(self, *args, **kwargs):
         >>> arr.min_by(x.b)
         b | b0 | b1 | b2 | b3
           |  0 |  1 |  2 |  3
+
+        Select some rows only
+
+        >>> arr.min_by(['a0', 'a1'])
+        0
+        >>> # or equivalently
+        >>> # arr.min_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.min_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |     0 |     8
+        >>> # or equivalently
+        >>> # arr.min_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.min_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 | a23
+          |   0 |   8
+        >>> # or equivalently
+        >>> # arr.min_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("minimum", by=True, action="search",
                                    kwargs="out,skipna,keepaxes"))
 
@@ -6604,7 +6715,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6629,6 +6739,29 @@ def method(self, *args, **kwargs):
         >>> arr.max_by(x.b)
         b | b0 | b1 | b2 | b3
           | 12 | 13 | 14 | 15
+
+        Select some rows only
+
+        >>> arr.max_by(['a0', 'a1'])
+        7
+        >>> # or equivalently
+        >>> # arr.max_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.max_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |     7 |    15
+        >>> # or equivalently
+        >>> # arr.max_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.max_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 | a23
+          |   7 |  15
+        >>> # or equivalently
+        >>> # arr.max_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("maximum", by=True, action="search",
                                    kwargs="out,skipna,keepaxes"))
 
@@ -6704,7 +6837,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6731,6 +6863,29 @@ def method(self, *args, **kwargs):
         >>> arr.mean_by(x.b)
         b |  b0 |  b1 |  b2 |  b3
           | 6.0 | 7.0 | 8.0 | 9.0
+
+        Select some rows only
+
+        >>> arr.mean_by(['a0', 'a1'])
+        3.5
+        >>> # or equivalently
+        >>> # arr.mean_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.mean_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |   3.5 |  11.5
+        >>> # or equivalently
+        >>> # arr.mean_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.mean_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 |  a23
+          | 3.5 | 11.5
+        >>> # or equivalently
+        >>> # arr.mean_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("mean", by=True, kwargs="dtype,out,skipna,keepaxes"))
 
     median = _agg_method(np.median, np.nanmedian, commutative=True)
@@ -6809,7 +6964,6 @@ def method(self, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6840,6 +6994,29 @@ def method(self, *args, **kwargs):
         >>> arr.median_by(x.b)
         b |  b0 |  b1 |  b2 |  b3
           | 7.5 | 7.5 | 4.0 | 8.0
+
+        Select some rows only
+
+        >>> arr.median_by(['a0', 'a1'])
+        7.0
+        >>> # or equivalently
+        >>> # arr.median_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.median_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |   7.0 |  5.75
+        >>> # or equivalently
+        >>> # arr.median_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.median_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 |  a23
+          | 7.0 | 5.75
+        >>> # or equivalently
+        >>> # arr.median_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("median", by=True, kwargs="out,skipna,keepaxes"))
 
     # percentile needs an explicit method because it has not the same
@@ -6933,7 +7110,6 @@ def percentile_by(self, q, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -6960,6 +7136,29 @@ def percentile_by(self, q, *args, **kwargs):
         >>> arr.percentile_by(25, x.b)
         b |  b0 |  b1 |  b2 |  b3
           | 3.0 | 4.0 | 5.0 | 6.0
+
+        Select some rows only
+
+        >>> arr.percentile_by(25, ['a0', 'a1'])
+        1.75
+        >>> # or equivalently
+        >>> # arr.percentile_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.percentile_by(25, (['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 | a2,a3
+          |  1.75 |  9.75
+        >>> # or equivalently
+        >>> # arr.percentile_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.percentile_by(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a |  a01 |  a23
+          | 1.75 | 9.75
+        >>> # or equivalently
+        >>> # arr.percentile_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("qth percentile", by=True, extra_args="q",
                                    kwargs="out,interpolation,skipna,keepaxes"))
 
@@ -7099,7 +7298,6 @@ def percentile_by(self, q, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -7130,6 +7328,29 @@ def percentile_by(self, q, *args, **kwargs):
         >>> arr.var_by(x.b)
         b |   b0 |     b1 |     b2 |     b3
           | 4.25 | 8.6875 | 4.1875 | 1.6875
+
+        Select some rows only
+
+        >>> arr.var_by(['a0', 'a1'])
+        0.0
+        >>> # or equivalently
+        >>> # arr.var_by('a0,a1')
+
+        Split an axis in several parts
+
+        >>> arr.var_by((['a0', 'a1'], ['a2', 'a3']))
+        a | a0,a1 |         a2,a3
+          |   0.0 | 15.7509765625
+        >>> # or equivalently
+        >>> # arr.var_by('a0,a1;a2,a3')
+
+        Same with renaming
+
+        >>> arr.var_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        a | a01 |           a23
+          | 0.0 | 15.7509765625
+        >>> # or equivalently
+        >>> # arr.var_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("variance", by=True,
                                    kwargs="dtype,out,ddof,skipna,keepaxes"))
 
@@ -7206,7 +7427,6 @@ def percentile_by(self, q, *args, **kwargs):
         Returns
         -------
         LArray or scalar
-            The resulting array will have the axes/groups given as arguments.
 
         See Also
         --------
@@ -7233,6 +7453,29 @@ def percentile_by(self, q, *args, **kwargs):
         >>> arr.std_by(x.b)
         b |  b0 |  b1 |  b2 |  b3
           | 2.5 | 1.5 | 2.0 | 1.5
+
+        Select some rows only
+
+        >>> arr.std_by(['b0', 'b1'])
+        0.5
+        >>> # or equivalently
+        >>> # arr.std_by('b0,b1')
+
+        Split an axis in several parts
+
+        >>> arr.std_by((['b0', 'b1'], ['b2', 'b3']))
+        b | b0,b1 | b2,b3
+          |   0.5 |  0.25
+        >>> # or equivalently
+        >>> # arr.std_by('b0,b1;b2,b3')
+
+        Same with renaming
+
+        >>> arr.std_by((x.b['b0', 'b1'] >> 'b01', x.b['b2', 'b3'] >> 'b23'))
+        b | b01 |  b23
+          | 0.5 | 0.25
+        >>> # or equivalently
+        >>> # arr.std_by('b0,b1>>b01;b2,b3>>b23')
         """.format(_doc_agg_method("standard deviation", by=True,
                                    kwargs="dtype,out,ddof,skipna,keepaxes"))
 

From 71b8d0eb5af5e2043347dbaff6e1c266312b69ce Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 1 Feb 2017 15:56:41 +0100
Subject: [PATCH 329/899] Update _selection_bounds method from ArrayView to
 select full rows/columns even if all data haven't been loaded

---
 larray/viewer.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index c4b378768..d99a9519f 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1044,6 +1044,11 @@ def _selection_bounds(self, none_selects_all=True):
         row_max = max(srange.bottom() - xoffset, 0)
         col_min = max(srange.left() - yoffset, 0)
         col_max = max(srange.right() - yoffset, 0)
+        # if not all rows/columns have been loaded
+        if row_min == 0 and row_max == self.model().rows_loaded - 1:
+            row_max = self.model().total_rows - 1
+        if col_min == 0 and col_max == self.model().cols_loaded - 1:
+            col_max = self.model().total_cols - 1
         return row_min, row_max + 1, col_min, col_max + 1
 
     def _selection_data(self, headers=True, none_selects_all=True):

From c337ca43c7befb552f1863977fded1c9a3787f5d Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 7 Feb 2017 10:56:59 +0100
Subject: [PATCH 330/899] Fix #52 : implement view('filepath') (#87)

Implemented edit/view('filepath'). Equivalent to edit/view(Session('filepath')) (closes #52).
---
 larray/session.py |  2 +-
 larray/viewer.py  | 36 ++++++++++++++++++++++++------------
 2 files changed, 25 insertions(+), 13 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 1a9392776..c84e6ceb8 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -211,7 +211,7 @@ def _open_for_write(self):
     def list(self):
         # strip extension from files
         # FIXME: only take .csv files
-        # TODO: also support fname pattern, eg. "dump_*.csv"
+        # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
         return [os.path.splitext(fname)[0] for fname in os.listdir(self.fname)]
 
     def _read_array(self, key, *args, **kwargs):
diff --git a/larray/viewer.py b/larray/viewer.py
index d99a9519f..585a28a6a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -75,6 +75,7 @@
 import math
 import re
 import sys
+import os
 
 from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate,
                             QListWidget, QSplitter, QListWidgetItem,
@@ -2415,12 +2416,17 @@ def get_title(obj, depth=0, maxnames=3):
 
 def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
     """
-    Opens a new editor window. If no object is given, all local arrays are loaded in the editor.
-
-    obj : np.ndarray, LArray, Session or dict, optional
-        Object to visualize. Defaults to the collection of all local variables where the function was called.
+    Opens a new editor window. If no object is given,
+    all local arrays are loaded in the editor.
+
+    obj : np.ndarray, LArray, Session, dict or str, optional
+        Object to visualize. If string, array(s) will be loaded
+        from the file given as argument.
+        Defaults to the collection of all local variables where
+        the function was called.
     title : str, optional
-        Title for the current object. A default one is generated if not provided.
+        Title for the current object.
+        A default one is generated if not provided.
     minvalue : scalar, optional
         Minimum value allowed.
     maxvalue : scalar, optional
@@ -2435,6 +2441,12 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
         local_vars = sys._getframe(depth + 1).f_locals
         obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
 
+    if isinstance(obj, str):
+        if os.path.isfile(obj):
+            obj = la.Session(obj)
+        else:
+            raise ValueError("file {} not found".format(obj))
+
     if not title:
         title = get_title(obj, depth=depth + 1)
 
@@ -2448,15 +2460,15 @@ def view(obj=None, title=''):
     Starts a new viewer window. Arrays are loaded in
     readonly mode and their content cannot be modified.
 
-    If no session object or array dictionary is provided
-    as argument, all local arrays are loaded in the editor.
+    If no object is given, all local arrays are loaded in the editor.
 
-    obj : Session or dict of LArray, optional
-        Session or a dictionary of arrays to
-        load in user interface. By default,
-        all existing local arrays are loaded.
+    obj : np.ndarray, LArray, Session, dict or str, optional
+        Object to visualize. If string, array(s) will be loaded
+        from the file given as argument.
+        Defaults to the collection of all local variables where
+        the function was called.
     title : str, optional
-        Title for the current session.
+        Title for the current object.
         A default one is generated if not provided.
     """
     edit(obj, title=title, readonly=True, depth=1)

From dd700a1c1580a46c4b8210db2fcb839fe42ceb43 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 2 Feb 2017 17:06:29 +0100
Subject: [PATCH 331/899] Update LArray.__getattr___ to allow a.axis_name
 instead of a.label

---
 larray/core.py          | 2 +-
 larray/tests/test_la.py | 6 ++++++
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index e368826fe..c1d909668 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3919,7 +3919,7 @@ def with_axes(self, axes):
 
     def __getattr__(self, key):
         try:
-            return self.__getitem__(key)
+            return self.axes[key]
         # XXX: maybe I should only catch KeyError here and be more aggressive
         #  in __getitem__ to raise KeyError on any exception
         except Exception:
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 7361af1a7..739ff4745 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -793,6 +793,12 @@ def setUp(self):
         self.small = LArray(self.small_data, axes=(self.sex, self.lipro),
                             title=self.small_title)
 
+    def test_getattr(self):
+        self.assertEqual(type(self.larray.geo), Axis)
+        self.assertIs(self.larray.geo, self.geo)
+        with self.assertRaises(AttributeError):
+            self.larray.geom
+
     def test_zeros(self):
         la = zeros((self.geo, self.age))
         self.assertEqual(la.shape, (44, 116))

From 34e87c471edd6b47eadaf0e40c423493a0838dce Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Feb 2017 14:13:16 +0100
Subject: [PATCH 332/899] Override __dir__(self) in LArray class.

---
 larray/core.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index c1d909668..77c533abf 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3928,6 +3928,10 @@ def __getattr__(self, key):
     def __setattr__(self, key, value):
         return self.__setitem__(key, value)
 
+    def __dir__(self):
+        names = set(axis.name for axis in self.axes if axis.name is not None)
+        return list(set(dir(self.__class__)) | names)
+
     @property
     def i(self):
         """

From e760bc5cfd089aa2249e5c2e577e31be105a5494 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 7 Feb 2017 16:02:43 +0100
Subject: [PATCH 333/899] fix #33 : Filtering on anonymous axes in viewer (#84)

Uses axes ids for filters in viewer to them for anonymous axes (fixes #33)
---
 larray/viewer.py | 30 +++++++++++++-----------------
 1 file changed, 13 insertions(+), 17 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 585a28a6a..bd1630928 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1502,17 +1502,16 @@ def change_filter(self, axis, indices):
         # must be done before changing self.current_filter
         self.update_global_changes()
         cur_filter = self.current_filter
+        axis_id = self.la_data.axes.axis_id(axis)
         # if index == 0:
         if not indices or len(indices) == len(axis.labels):
-            # FIXME: anonymous...
-            if axis.name in cur_filter:
-                del cur_filter[axis.name]
+            if axis_id in cur_filter:
+                del cur_filter[axis_id]
         else:
-            # FIXME: anonymous...
             if len(indices) == 1:
-                cur_filter[axis.name] = axis.labels[indices[0]]
+                cur_filter[axis_id] = axis.labels[indices[0]]
             else:
-                cur_filter[axis.name] = axis.labels[indices]
+                cur_filter[axis_id] = axis.labels[indices]
         filtered = self.la_data[cur_filter]
         local_changes = self.get_local_changes(filtered)
         self.filtered_data = filtered
@@ -1547,16 +1546,15 @@ def map_global_to_filtered(self, k, filtered):
         """
         assert isinstance(k, tuple) and len(k) == self.la_data.ndim
 
-        # FIXME: not anonymous-friendly (use axis instead of axis.name)
-        dkey = {axis.name: axis_key
-                for axis_key, axis in zip(k, self.la_data.axes)}
+        dkey = {axis_id: axis_key
+                for axis_key, axis_id in zip(k, self.la_data.axes.ids)}
 
         # transform global dictionary key to "local" (filtered) key by removing
         # the parts of the key which are redundant with the filter
-        for axis_name, axis_filter in self.current_filter.items():
-            axis_key = dkey[axis_name]
+        for axis_id, axis_filter in self.current_filter.items():
+            axis_key = dkey[axis_id]
             if np.isscalar(axis_filter) and axis_key == axis_filter:
-                del dkey[axis_name]
+                del dkey[axis_id]
             elif not np.isscalar(axis_filter) and axis_key in axis_filter:
                 pass
             else:
@@ -1591,9 +1589,8 @@ def map_filtered_to_global(self, k):
 
         # compute dictionary key out of it
         data = self.filtered_data
-        # FIXME: anonymous...
-        axes_names = data.axes.names if isinstance(data, la.LArray) else []
-        dkey = dict(zip(axes_names, label_key))
+        axes_ids = list(data.axes.ids) if isinstance(data, la.LArray) else []
+        dkey = dict(zip(axes_ids, label_key))
 
         # add the "scalar" parts of the filter to it (ie the parts of the
         # filter which removed dimensions)
@@ -1601,8 +1598,7 @@ def map_filtered_to_global(self, k):
                      if np.isscalar(v)})
 
         # re-transform it to tuple (to make it hashable/to store it in .changes)
-        # FIXME: anonymous...
-        return tuple(dkey[axis.name] for axis in self.la_data.axes)
+        return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
 
 
 def larray_to_array_and_labels(data):

From 002bc761ede181a5cbd5691441c7dd7e287a7450 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 3 Feb 2017 13:49:15 +0100
Subject: [PATCH 334/899] Update plot method from ArrayView class (viewer).
 Labels are used as xticks instead of np.arange.

---
 larray/viewer.py | 52 ++++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 46 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index bd1630928..b9aab31ea 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -91,12 +91,16 @@
 from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
                          QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
 
+from qtpy import QT_VERSION
+
 import numpy as np
 
 try:
     import matplotlib
     from matplotlib.figure import Figure
     try:
+        if QT_VERSION[0] != '5':
+            raise Exception
         from matplotlib.backends.backend_qt5agg import FigureCanvas
         from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
     except Exception:
@@ -1053,6 +1057,22 @@ def _selection_bounds(self, none_selects_all=True):
         return row_min, row_max + 1, col_min, col_max + 1
 
     def _selection_data(self, headers=True, none_selects_all=True):
+        """
+        Returns a Numpy ndarray containing selected data if headers=True.
+        Returns an iterator over labels and data if headers=False.
+
+        Parameters
+        ----------
+        headers : bool, optional
+            Labels are also returned if True.
+        none_selects_all : bool, optional
+            If True (default) and selection is empty, returns all data.
+
+        Returns
+        -------
+        numpy.ndarray or itertools.chain
+
+        """
         bounds = self._selection_bounds(none_selects_all=none_selects_all)
         if bounds is None:
             return None
@@ -1169,11 +1189,26 @@ def plot(self):
         # in LArray
         data = self._selection_data(headers=False)
 
+        row_min, row_max, col_min, col_max = self._selection_bounds()
+        dim_names = self.model().xlabels[0]
+        xlabels = self.model().xlabels
+        ylabels = self.model().ylabels
+
         assert data.ndim == 2
-        column = data.shape[0] == 1
-        row = data.shape[1] == 1
+        row = data.shape[0] == 1
+        column = data.shape[1] == 1
+        # We assume the selection to be one row or column
         assert row or column
-        data = data[0] if column else data[:, 0]
+        if row:
+            data = data[0]
+            xlabel = dim_names[-1]
+            xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
+        else:
+            data = data[:, 0]
+            xlabel = ','.join(dim_names[:-1])
+            xticklabels = ['\n'.join(
+                [str(ylabels[j][r]) for j in range(1, len(ylabels))])
+                           for r in range(row_min, row_max)]
 
         figure = Figure()
 
@@ -1183,9 +1218,14 @@ def plot(self):
         # discards the old graph
         ax.hold(False)
 
-        # FIXME: use labels instead
-        x = np.arange(data.shape[0])
-        ax.plot(x, data)
+        # build the graph
+        ax.plot(data)
+        ax.set_xlabel(xlabel)
+        ax.set_xlim(0, len(data) - 1)
+
+        xticks = [t for t in ax.get_xticks().astype(int) if t <= len(data) - 1]
+        xticklabels = [xticklabels[j] for j in xticks]
+        ax.set_xticklabels(xticklabels)
 
         main = PlotDialog(figure, self)
         main.show()

From 1c9e4b9628ebe2e601302919c48cfb6c2547b481 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 3 Feb 2017 16:16:20 +0100
Subject: [PATCH 335/899] Update plot method from ArrayView class (viewer) :
 Allow to plot multiple columns. Always consider that columns (= last axis)
 represent the x axis of graph.

---
 larray/viewer.py | 48 +++++++++++++++++++++++++++---------------------
 1 file changed, 27 insertions(+), 21 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index b9aab31ea..4ace8444a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1195,38 +1195,44 @@ def plot(self):
         ylabels = self.model().ylabels
 
         assert data.ndim == 2
-        row = data.shape[0] == 1
-        column = data.shape[1] == 1
-        # We assume the selection to be one row or column
-        assert row or column
-        if row:
-            data = data[0]
-            xlabel = dim_names[-1]
-            xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
-        else:
-            data = data[:, 0]
-            xlabel = ','.join(dim_names[:-1])
-            xticklabels = ['\n'.join(
-                [str(ylabels[j][r]) for j in range(1, len(ylabels))])
-                           for r in range(row_min, row_max)]
+
+        # XXX : Plotting according to several axes in the same time is meaningless
+        # if data.shape[1] == 1:
+        #     data = data[:, 0]
+        #     xlabel = ','.join(dim_names[:-1])
+        #     xticklabels = ['\n'.join(
+        #         [str(ylabels[j][r]) for j in range(1, len(ylabels))])
+        #         for r in range(row_min, row_max)]
 
         figure = Figure()
 
         # create an axis
         ax = figure.add_subplot(111)
 
-        # discards the old graph
-        ax.hold(False)
+        xlabel = dim_names[-1]
+        xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
 
-        # build the graph
-        ax.plot(data)
-        ax.set_xlabel(xlabel)
-        ax.set_xlim(0, len(data) - 1)
+        # plot each row as a line
+        for row in range(len(data)):
+            label = ','.join([str(ylabels[j][row])
+                              for j in range(1, len(ylabels))])
+            ax.plot(data[row], label=label)
 
-        xticks = [t for t in ax.get_xticks().astype(int) if t <= len(data) - 1]
+        # prepare x axis
+        ax.set_xlabel(xlabel)
+        ax.set_xlim(0, len(xticklabels) - 1)
+        # we need to do that because matplotlib is smart enough to
+        # not show all ticks but a selection. However, that selection
+        # may include ticks outside the range of x axis
+        xticks = [t for t in ax.get_xticks().astype(int) if t <= len(xticklabels) - 1]
         xticklabels = [xticklabels[j] for j in xticks]
         ax.set_xticklabels(xticklabels)
 
+        # set legend
+        box = ax.get_position()
+        ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
+        ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
+
         main = PlotDialog(figure, self)
         main.show()
 

From e675532846ebbd4a997f60fc19233e24470a75c8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Feb 2017 11:44:33 +0100
Subject: [PATCH 336/899] Update matplotlib import in viewer (qt5 vs qt4)

---
 larray/viewer.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4ace8444a..4e7044137 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -98,12 +98,11 @@
 try:
     import matplotlib
     from matplotlib.figure import Figure
-    try:
-        if QT_VERSION[0] != '5':
-            raise Exception
+
+    if QT_VERSION[0] == '5':
         from matplotlib.backends.backend_qt5agg import FigureCanvas
         from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
-    except Exception:
+    else:
         from matplotlib.backends.backend_qt4agg import FigureCanvas
         from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
 

From 1d545064735a31ec380ba79f8d5fa35f5a4dedfc Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Feb 2017 12:18:01 +0100
Subject: [PATCH 337/899] Update plot method in viewer. Plot along column if 1
 column else along row(s).

---
 larray/viewer.py | 50 +++++++++++++++++++++++++-----------------------
 1 file changed, 26 insertions(+), 24 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4e7044137..f8ec9ffbc 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1057,8 +1057,9 @@ def _selection_bounds(self, none_selects_all=True):
 
     def _selection_data(self, headers=True, none_selects_all=True):
         """
-        Returns a Numpy ndarray containing selected data if headers=True.
-        Returns an iterator over labels and data if headers=False.
+        Returns an iterator over selected labels and data
+        if headers=True and a Numpy ndarray containing only
+        the data otherwise.
 
         Parameters
         ----------
@@ -1195,29 +1196,29 @@ def plot(self):
 
         assert data.ndim == 2
 
-        # XXX : Plotting according to several axes in the same time is meaningless
-        # if data.shape[1] == 1:
-        #     data = data[:, 0]
-        #     xlabel = ','.join(dim_names[:-1])
-        #     xticklabels = ['\n'.join(
-        #         [str(ylabels[j][r]) for j in range(1, len(ylabels))])
-        #         for r in range(row_min, row_max)]
-
         figure = Figure()
 
         # create an axis
         ax = figure.add_subplot(111)
 
-        xlabel = dim_names[-1]
-        xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
-
-        # plot each row as a line
-        for row in range(len(data)):
-            label = ','.join([str(ylabels[j][row])
-                              for j in range(1, len(ylabels))])
-            ax.plot(data[row], label=label)
-
-        # prepare x axis
+        if data.shape[1] == 1:
+            # plot one column
+            xlabel = ','.join(dim_names[:-1])
+            xticklabels = ['\n'.join(
+                [str(ylabels[j][r]) for j in range(1, len(ylabels))])
+                           for r in range(row_min, row_max)]
+            ax.plot(data[:, 0])
+            ax.set_ylabel(xlabels[1][col_min])
+        else:
+            # plot each row as a line
+            xlabel = dim_names[-1]
+            xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
+            for row in range(len(data)):
+                label = ','.join([str(ylabels[j][row])
+                                  for j in range(1, len(ylabels))])
+                ax.plot(data[row], label=label)
+
+        # set x axis
         ax.set_xlabel(xlabel)
         ax.set_xlim(0, len(xticklabels) - 1)
         # we need to do that because matplotlib is smart enough to
@@ -1227,10 +1228,11 @@ def plot(self):
         xticklabels = [xticklabels[j] for j in xticks]
         ax.set_xticklabels(xticklabels)
 
-        # set legend
-        box = ax.get_position()
-        ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
-        ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
+        if data.shape[1] != 1:
+            # set legend
+            box = ax.get_position()
+            ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
+            ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
 
         main = PlotDialog(figure, self)
         main.show()

From 86d083979dea132c754756d589037ee209ec887d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Feb 2017 17:52:12 +0100
Subject: [PATCH 338/899] Add function ndarray_to_array_and_labels(data) in
 viewer.

---
 larray/viewer.py | 171 ++++++++++++++++++++++++++++++-----------------
 1 file changed, 110 insertions(+), 61 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index f8ec9ffbc..96345b442 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -481,11 +481,12 @@ def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
         self.changes = changes
         self._data = data
         if xlabels is None:
-            xlabels = [[]]
+            xlabels = [[], []]
         self.xlabels = xlabels
         if ylabels is None:
             ylabels = [[]]
         self.ylabels = ylabels
+
         self.total_rows = self._data.shape[0]
         self.total_cols = self._data.shape[1]
         size = self.total_rows * self.total_cols
@@ -1193,6 +1194,8 @@ def plot(self):
         dim_names = self.model().xlabels[0]
         xlabels = self.model().xlabels
         ylabels = self.model().ylabels
+        print('xlabels', xlabels)
+        print('ylabels', ylabels)
 
         assert data.ndim == 2
 
@@ -1339,6 +1342,12 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
             display_names = []
             if not isinstance(data, np.ndarray):
                 data = np.asarray(data)
+            if data.ndim == 0:
+                self.old_data_shape = data.shape
+            elif data.ndim == 1:
+                self.old_data_shape = data.shape
+            data, xlabels, ylabels = ndarray_to_array_and_labels(data)
+
         filters_layout = self.filters_layout
         clear_layout(filters_layout)
         if axes:
@@ -1350,16 +1359,6 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
         self.filtered_data = self.la_data
         if data.size == 0:
             QMessageBox.critical(self, _("Error"), _("Array is empty"))
-        if data.ndim == 0:
-            self.old_data_shape = data.shape
-            data.shape = (1, 1)
-        elif data.ndim == 1:
-            self.old_data_shape = data.shape
-            data = data.reshape(1, data.shape[0])
-            ylabels = [[]]
-
-        if data.ndim > 2:
-            data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
 
             # if xlabels is not None and len(xlabels) != self.data.shape[1]:
             #     self.error(_("The 'xlabels' argument length do no match "
@@ -1648,6 +1647,103 @@ def map_filtered_to_global(self, k):
         return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
 
 
+class _LazyLabels(object):
+    def __init__(self, arrays):
+        self.prod = Product(arrays)
+
+    def __getitem__(self, key):
+        return ' '.join(self.prod[key])
+
+    def __len__(self):
+        return len(self.prod)
+
+
+class _LazyDimLabels(object):
+    def __init__(self, prod, i):
+        self.prod = prod
+        self.i = i
+
+    def __iter__(self):
+        return iter(self.prod[:][self.i])
+
+    def __getitem__(self, key):
+        return self.prod[key][self.i]
+
+    def __len__(self):
+        return len(self.prod)
+
+
+class _LazyRange(object):
+    def __init__(self, length, offset):
+        self.length = length
+        self.offset = offset
+
+    def __getitem__(self, key):
+        if key >= self.offset:
+            return key - self.offset
+        else:
+            return ''
+
+    def __len__(self):
+        return self.length + self.offset
+
+
+class _LazyNone(object):
+    def __init__(self, length):
+        self.length = length
+
+    def __getitem__(self, key):
+        return ' '
+
+    def __len__(self):
+        return self.length
+
+
+def ndarray_to_array_and_labels(data):
+    """Converts an  Numpy ndarray into a 2D data array and x/y labels.
+
+    Parameters
+    ----------
+    data : numpy.ndarray
+        Input array.
+
+    Returns
+    -------
+    data : 2D array
+        Content of input array is returned as 2D array.
+    xlabels : 1D array
+        Labels of rows.
+    ylabels : 2D array
+        Labels of columns (cartesian product of of all axes
+        except the last one).
+    """
+    assert isinstance(data, np.ndarray)
+
+    if data.ndim == 0:
+        data.shape = (1, 1)
+        xlabels = [["{0}"], [0]]
+        ylabels = [[]]
+    elif data.ndim == 1:
+        data = data.reshape(1, data.shape[0])
+        xlabels = [["{0}"], list(range(data.size))]
+        ylabels = [[]]
+    elif data.ndim > 1:
+        xlabels = [["{{{}}}".format(i) for i in range(data.ndim)],
+                   range(data.shape[-1])]
+        coldims = 1
+        prod = Product([range(data.shape[i]) for i in range(data.ndim - 1)])
+        ylabels = [_LazyNone(len(prod) + coldims)] + [
+            _LazyDimLabels(prod, i) for i in range(data.ndim - 1)]
+    else:
+        xlabels = None
+        ylabels = None
+
+    if data.ndim > 2:
+        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
+
+    return data, xlabels, ylabels
+
+
 def larray_to_array_and_labels(data):
     """Converts an LArray into a 2D data array and x/y labels.
 
@@ -1670,54 +1766,6 @@ def larray_to_array_and_labels(data):
 
     xlabels = [data.axes.display_names, data.axes.labels[-1]]
 
-    class LazyLabels(object):
-        def __init__(self, arrays):
-            self.prod = Product(arrays)
-
-        def __getitem__(self, key):
-            return ' '.join(self.prod[key])
-
-        def __len__(self):
-            return len(self.prod)
-
-    class LazyDimLabels(object):
-        def __init__(self, prod, i):
-            self.prod = prod
-            self.i = i
-
-        def __iter__(self):
-            return iter(self.prod[:][self.i])
-
-        def __getitem__(self, key):
-            return self.prod[key][self.i]
-
-        def __len__(self):
-            return len(self.prod)
-
-    class LazyRange(object):
-        def __init__(self, length, offset):
-            self.length = length
-            self.offset = offset
-
-        def __getitem__(self, key):
-            if key >= self.offset:
-                return key - self.offset
-            else:
-                return ''
-
-        def __len__(self):
-            return self.length + self.offset
-
-    class LazyNone(object):
-        def __init__(self, length):
-            self.length = length
-
-        def __getitem__(self, key):
-            return ' '
-
-        def __len__(self):
-            return self.length
-
     otherlabels = data.axes.labels[:-1]
     # ylabels = LazyLabels(otherlabels)
     coldims = 1
@@ -1728,13 +1776,14 @@ def __len__(self):
         ylabels = [[]]
     else:
         prod = Product(otherlabels)
-        ylabels = [LazyNone(len(prod) + coldims)] + [
-            LazyDimLabels(prod, i) for i in range(len(otherlabels))]
+        ylabels = [_LazyNone(len(prod) + coldims)] + [
+            _LazyDimLabels(prod, i) for i in range(len(otherlabels))]
         # ylabels = [LazyRange(len(prod), coldims)] + [
         #     LazyDimLabels(prod, i) for i in range(len(otherlabels))]
 
     if data.ndim > 2:
         data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
+
     return data, xlabels, ylabels
 
 

From b76283f983739cd582a8195d1b7726d31e908e9e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Feb 2017 17:59:22 +0100
Subject: [PATCH 339/899] remove prints from plot method in viwer

---
 larray/viewer.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 96345b442..8ea7a8d17 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1194,8 +1194,6 @@ def plot(self):
         dim_names = self.model().xlabels[0]
         xlabels = self.model().xlabels
         ylabels = self.model().ylabels
-        print('xlabels', xlabels)
-        print('ylabels', ylabels)
 
         assert data.ndim == 2
 

From f6eb90be81a084af48f7d9b8c88e4c1790eeddc6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 8 Feb 2017 12:07:46 +0100
Subject: [PATCH 340/899] Update ndarray_to_array_and_labels function in viewer

---
 larray/viewer.py | 24 ++++++++++--------------
 1 file changed, 10 insertions(+), 14 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 8ea7a8d17..974d02c70 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1709,9 +1709,9 @@ def ndarray_to_array_and_labels(data):
     -------
     data : 2D array
         Content of input array is returned as 2D array.
-    xlabels : 1D array
+    xlabels : list of list
         Labels of rows.
-    ylabels : 2D array
+    ylabels : list of list
         Labels of columns (cartesian product of of all axes
         except the last one).
     """
@@ -1719,22 +1719,18 @@ def ndarray_to_array_and_labels(data):
 
     if data.ndim == 0:
         data.shape = (1, 1)
-        xlabels = [["{0}"], [0]]
+        xlabels = [[], []]
         ylabels = [[]]
-    elif data.ndim == 1:
-        data = data.reshape(1, data.shape[0])
-        xlabels = [["{0}"], list(range(data.size))]
-        ylabels = [[]]
-    elif data.ndim > 1:
+    else:
+        if data.ndim == 1:
+            data = data.reshape(1, data.shape[0])
+
         xlabels = [["{{{}}}".format(i) for i in range(data.ndim)],
                    range(data.shape[-1])]
         coldims = 1
-        prod = Product([range(data.shape[i]) for i in range(data.ndim - 1)])
+        prod = Product([range(size) for size in data.shape[:-1]])
         ylabels = [_LazyNone(len(prod) + coldims)] + [
             _LazyDimLabels(prod, i) for i in range(data.ndim - 1)]
-    else:
-        xlabels = None
-        ylabels = None
 
     if data.ndim > 2:
         data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
@@ -1754,9 +1750,9 @@ def larray_to_array_and_labels(data):
     -------
     data : 2D array
         Content of input LArray is returned as 2D array.
-    xlabels : 1D array
+    xlabels : list of list
         Labels of rows (names of axes + labels of last axis).
-    ylabels : 2D array
+    ylabels : list of list
         Labels of columns (cartesian product of labels of all axes
         except the last one).
     """

From cdf41089d3a30014d923bb80f3bb53825286a327 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 30 Jan 2017 11:36:49 +0100
Subject: [PATCH 341/899] CLN: add comments

---
 larray/core.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 77c533abf..1e32e8791 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8841,11 +8841,14 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
 
 def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
     axes_names = [decode(name, 'utf8') for name in df.index.names]
+    # handle 2 or more dimensions with the last axis name given using \
     if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
         last_axes = [name.strip() for name in axes_names[-1].split('\\')]
         axes_names = axes_names[:-1] + last_axes
+    # handle 1D
     elif len(df) == 1 and axes_names == [None]:
         axes_names = [df.columns.name]
+    # handle 2 or more dimensions with the last axis name given as the columns index name
     elif len(df) > 1:
         axes_names += [df.columns.name]
 
@@ -10021,7 +10024,7 @@ def stack(arrays, axis=None, title=''):
     >>> # not using the same length as nat, otherwise numpy gets confused :(
     >>> nd = LArray([arr1, zeros(Axis('type', [1, 2, 3]))], sex)
     >>> stack(nd, sex)
-    nat | type\sex |   M |   F
+    nat | type\\sex |   M |   F
      BE |        1 | 1.0 | 0.0
      BE |        2 | 1.0 | 0.0
      BE |        3 | 1.0 | 0.0

From 18a6766d17de0c176693da3b16979725a816c5a6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 30 Jan 2017 12:51:01 +0100
Subject: [PATCH 342/899] bump version to 0.20

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 3aaf369a0..9d57bd63f 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.19.1
+  version: 0.20
 
 source:
-  git_tag: 0.19.1
+  git_tag: 0.20
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 72ffcfb3b..fc1848a01 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.19'
+version = '0.20'
 # The full version, including alpha/beta/rc tags.
-release = '0.19.1'
+release = '0.20'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 1e32e8791..defedf074 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.19.1"
+__version__ = "0.20"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
diff --git a/setup.py b/setup.py
index eeafd3dc9..229f07f18 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.19.1'
+VERSION = '0.20'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 6ac28ba41f9b3aaec97292ea727314baaa0b8a60 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 1 Feb 2017 13:10:57 +0100
Subject: [PATCH 343/899] Fixed wb[position] (broken since the move to xlwings
 0.9+)

wb = open_excel(...)
---
 larray/excel.py | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/larray/excel.py b/larray/excel.py
index e272a7b35..751d716d3 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -134,13 +134,6 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None,
 
             self.xw_wkb = xw_wkb
 
-        def _concrete_key(self, key):
-            if isinstance(key, int):
-                if key < 0:
-                    key += len(self)
-                key += 1
-            return key
-
         def __contains__(self, key):
             if isinstance(key, int):
                 length = len(self)
@@ -153,7 +146,6 @@ def __contains__(self, key):
                 return key in self.sheet_names()
 
         def __getitem__(self, key):
-            key = self._concrete_key(key)
             return Sheet(self, key)
 
         def __setitem__(self, key, value):

From ff1f5cfe4331a5c8d99bab6d1567431dd63371d0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 08:05:16 +0100
Subject: [PATCH 344/899] added "raw" argument to df_aslarray

It is meant to handle dataframes without a real index and autodetects the number of columns to use as the index by looking for \.
---
 larray/core.py | 33 ++++++++++++++++++++++++++++-----
 1 file changed, 28 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index defedf074..5aac1c577 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8839,8 +8839,33 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
     return df.reindex(new_index, columns, **kwargs), labels
 
 
-def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
-    axes_names = [decode(name, 'utf8') for name in df.index.names]
+def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, **kwargs):
+    # the dataframe was read without index at all (ie 2D dataframe), irrespective of the actual data dimensionality
+    if raw:
+        columns = df.columns.values.tolist()
+        try:
+            # take the first column which contains '\'
+            # pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
+            pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
+            onedim = False
+        except StopIteration:
+            # we assume first column will not contain data
+            pos_last = 0
+            onedim = True
+
+        axes_names = columns[:pos_last + 1]
+        if onedim:
+            df = df.iloc[:, 1:]
+        else:
+            # This is required to handle int column names (otherwise we can simply use column positions in set_index).
+            # This is NOT the same as df.columns[list(range(...))] !
+            index_columns = [df.columns[i] for i in range(pos_last + 1)]
+            # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
+            # df.set_index(index_columns, inplace=True)
+            df = df.set_index(index_columns)
+    else:
+        axes_names = [decode(name, 'utf8') for name in df.index.names]
+
     # handle 2 or more dimensions with the last axis name given using \
     if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
         last_axes = [name.strip() for name in axes_names[-1].split('\\')]
@@ -8853,9 +8878,7 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, **kwargs):
         axes_names += [df.columns.name]
 
     if len(axes_names) > 1:
-        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows,
-                                               sort_columns=sort_columns,
-                                               **kwargs)
+        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
     else:
         axes_labels = []
 

From a939355b6c4cda0c28c4ca9bc57d196072d7731c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 11:35:12 +0100
Subject: [PATCH 345/899] implemented from_lists (closes #30)

we should just find a better name :)
---
 larray/core.py | 59 +++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 58 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 5aac1c577..0dc48a377 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -11,7 +11,7 @@
     'x',
     'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest',
+    'ndtest', 'from_lists',
     'identity', 'diag', 'eye',
     'larray_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
@@ -8899,6 +8899,63 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, **kwargs):
     return LArray(data, axes)
 
 
+def from_lists(data, nb_index=None, index_col=None):
+    """
+    initialize array from a list of lists (lines)
+
+    Parameters
+    ----------
+    data : iterable (tuple, list, ...)
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from_lists([['sex', 'M', 'F'],
+    ...             ['',      0,   1]])
+    sex | M | F
+        | 0 | 1
+    >>> from_lists([['sex\\year', 1991, 1992, 1993],
+    ...             [ 'M',           0,    1,    2],
+    ...             [ 'F',           3,    4,    5]])
+    sex\\year | 1991 | 1992 | 1993
+           M |    0 |    1 |    2
+           F |    3 |    4 |    5
+    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    ...             [  'M', 'BE',           1,    0,    0],
+    ...             [  'M', 'FO',           2,    0,    0],
+    ...             [  'F', 'BE',           0,    0,    1]])
+    sex | nat\\year | 1991 | 1992 | 1993
+      M |       BE |  1.0 |  0.0 |  0.0
+      M |       FO |  2.0 |  0.0 |  0.0
+      F |       BE |  0.0 |  0.0 |  1.0
+      F |       FO |  nan |  nan |  nan
+    >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
+    ...             [  'M', 'BE',     1,    0,    0],
+    ...             [  'M', 'FO',     2,    0,    0],
+    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
+    sex | nat\\{2} | 1991 | 1992 | 1993
+      M |      BE |  1.0 |  0.0 |  0.0
+      M |      FO |  2.0 |  0.0 |  0.0
+      F |      BE |  0.0 |  0.0 |  1.0
+      F |      FO |  nan |  nan |  nan
+    """
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    df = pd.DataFrame(data[1:], columns=data[0])
+    if index_col is not None:
+        df.set_index([df.columns[c] for c in index_col], inplace=True)
+
+    return df_aslarray(df, raw=index_col is None)
+
+
 def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
              na=np.nan, sort_rows=False, sort_columns=False,
              dialect='larray', **kwargs):

From e8c3dbd94dfa278c729528b91b3567a27d7e3876 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 11:39:01 +0100
Subject: [PATCH 346/899] made _isnoneslice safer

(ie add support for slice bounds containing arrays or other non comparable values)
---
 larray/core.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 0dc48a377..efc990add 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -750,7 +750,7 @@ def _isnoneslice(v):
     """
     Checks if input is slice(None) object.
     """
-    return isinstance(v, slice) and v == slice(None)
+    return isinstance(v, slice) and v.start is None and v.stop is None and v.step is None
 
 
 def _seq_summary(seq, n=3, repr_func=repr, sep=' '):

From b62c70b105574001d8ce1e590859c4902b37b029 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 11:43:45 +0100
Subject: [PATCH 347/899] rewrote read_csv to use the df_aslarray(raw=True) in
 some cases

so that the code detecting the number of axes (using the position of the \) is only in one place
---
 larray/core.py | 84 ++++++++++++++++++++++----------------------------
 1 file changed, 37 insertions(+), 47 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index efc990add..3539925ef 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8956,9 +8956,8 @@ def from_lists(data, nb_index=None, index_col=None):
     return df_aslarray(df, raw=index_col is None)
 
 
-def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
-             na=np.nan, sort_rows=False, sort_columns=False,
-             dialect='larray', **kwargs):
+def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
+             sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
     """
     Reads csv file and returns an array with the contents.
 
@@ -8986,11 +8985,10 @@ def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
     na : scalar, optional
         Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is
-        more efficient than not sorting). Defaults to False.
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
     sort_columns : bool, optional
-        Whether or not to sort the columns alphabetically (sorting is
-        more efficient than not sorting). Defaults to False.
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
     dialect : 'classic' | 'larray' | 'liam2', optional
         Name of dialect. Defaults to 'larray'.
     **kwargs
@@ -9017,58 +9015,50 @@ def read_csv(filepath, nb_index=0, index_col=None, sep=',', headersep=None,
          BE | 0 | 1
          FO | 2 | 3
     """
-    # read the first line to determine how many axes (time excluded) we have
-    with csv_open(filepath) as f:
-        reader = csv.reader(f, delimiter=sep)
-        line_stream = skip_comment_cells(strip_rows(reader))
-        header = next(line_stream)
-        if headersep is not None and headersep != sep:
-            combined_axes_names = header[0]
-            header = combined_axes_names.split(headersep)
-        try:
-            # take the first cell which contains '\'
-            pos_last = next(i for i, v in enumerate(header) if '\\' in v)
-        except StopIteration:
-            # if there isn't any, assume 1d array, unless "liam2 dialect"
-            pos_last = 0 if dialect != 'liam2' else len(header) - 1
-        axes_names = header[:pos_last + 1]
-
-    if index_col is None and nb_index == 0:
-        nb_index = len(axes_names)
-        if dialect == 'liam2':
-            nb_index -= 1
+    if dialect == 'liam2':
+        # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
+        # manipulating the dataframe because the header line must be ignored for the column types to be inferred
+        # correctly. Note that to read one line, this is faster than using Pandas reader.
+        with csv_open(filepath) as f:
+            reader = csv.reader(f, delimiter=sep)
+            line_stream = skip_comment_cells(strip_rows(reader))
+            axes_names = next(line_stream)
+
+        if nb_index is not None or index_col is not None:
+            raise ValueError("nb_index and index_col are not compatible with dialect='liam2'")
+        if len(axes_names) > 1:
+            nb_index = len(axes_names) - 1
+        # use the second data line for column headers (excludes comments and blank lines before counting)
+        kwargs['header'] = 1
+        kwargs['comment'] = '#'
 
-    if isinstance(index_col, list):
-        nb_index = len(index_col)
-    else:
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
         index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
 
     if headersep is not None:
-        # we will set the index after having split the tick values
-        index_col = None
+        if index_col is None:
+            index_col = [0]
 
-    if dialect == 'liam2':
-        if len(axes_names) < 2:
-            index_col = None
-        # FIXME: add number of lines skipped by comments (or not, pandas
-        # might skip them by default)
-        kwargs['skiprows'] = 1
-        kwargs['comment'] = '#'
     df = pd.read_csv(filepath, index_col=index_col, sep=sep, **kwargs)
     if dialect == 'liam2':
         if len(axes_names) > 1:
             df.index.names = axes_names[:-1]
         df.columns.name = axes_names[-1]
+        raw = False
+    else:
+        raw = index_col is None
+
     if headersep is not None:
-        labels_column = df[combined_axes_names]
-        label_columns = unzip(label.split(headersep) for label in labels_column)
-        for name, column in zip(axes_names, label_columns):
-            df[name] = column
-        del df[combined_axes_names]
-        df.set_index(axes_names, inplace=True)
+        combined_axes_names = df.index.name
+        df.index = df.index.str.split(headersep, expand=True)
+        df.index.names = combined_axes_names.split(headersep)
+        raw = False
 
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                       fill_value=na)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, raw=raw)
 
 
 def read_tsv(filepath, **kwargs):

From 411dfa492c02d3d14feb7fefa5e58c3cec71f6d6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 11:46:58 +0100
Subject: [PATCH 348/899] added test for reading liam2 csv files

---
 larray/tests/test1d_liam2.csv |  3 +++
 larray/tests/test5d_liam2.csv | 43 +++++++++++++++++++++++++++++++++++
 larray/tests/test_la.py       | 13 +++++++++++
 3 files changed, 59 insertions(+)
 create mode 100644 larray/tests/test1d_liam2.csv
 create mode 100644 larray/tests/test5d_liam2.csv

diff --git a/larray/tests/test1d_liam2.csv b/larray/tests/test1d_liam2.csv
new file mode 100644
index 000000000..d0ab30046
--- /dev/null
+++ b/larray/tests/test1d_liam2.csv
@@ -0,0 +1,3 @@
+time,,
+2007,2010,2013
+3722,3395,3347
diff --git a/larray/tests/test5d_liam2.csv b/larray/tests/test5d_liam2.csv
new file mode 100644
index 000000000..de1e55adf
--- /dev/null
+++ b/larray/tests/test5d_liam2.csv
@@ -0,0 +1,43 @@
+# a nice test array with 5 dimensions,,,,,,
+arr,age,sex,nat,time,,
+,,,,2007,2010,2013
+1,0,F,1,3722,3395,3347
+1,0,F,2,338,316,323
+1,0,H,1,2878,2791,2822
+1,0,H,2,1121,1037,976
+1,1,F,1,4073,4161,4429
+1,1,F,2,1561,1463,1467
+1,1,H,1,3507,3741,3366
+1,1,H,2,2052,2052,2118
+1,2,F,1,4807,4868,4852
+1,2,F,2,3785,3508,3172
+1,2,H,1,4464,4692,4839
+1,2,H,2,95,100,103
+1,3,F,1,1135,1023,928
+1,3,F,2,3121,3180,2900
+1,3,H,1,3850,4118,3716
+1,3,H,2,4174,4131,4290
+1,4,F,1,4072,3775,3781
+1,4,F,2,4392,4305,4215
+1,4,H,1,1657,1492,1360
+1,4,H,2,916,973,895
+2,0,F,1,141,135,141
+2,0,F,2,3713,3952,3895
+2,0,H,1,1616,1499,1556
+2,0,H,2,1895,2029,1946
+2,1,F,1,3272,3501,3584
+2,1,F,2,793,725,679
+2,1,H,1,4766,5007,5242
+2,1,H,2,2943,2670,2525
+2,2,F,1,3594,3922,4019
+2,2,F,2,4150,3813,3576
+2,2,H,1,1264,1244,1333
+2,2,H,2,1922,1970,1972
+2,3,F,1,380,400,387
+2,3,F,2,3860,3787,3431
+2,3,H,1,2962,3112,2962
+2,3,H,2,2679,2599,2490
+2,4,F,1,4159,4210,4461
+2,4,F,2,28,27,28
+2,4,H,1,2887,2972,2837
+2,4,H,2,2712,2827,2806
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 739ff4745..e3482b228 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2924,6 +2924,19 @@ def test_read_csv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_csv(abspath('test1d_liam2.csv'), dialect='liam2')
+        self.assertEqual(la.ndim, 1)
+        self.assertEqual(la.shape, (3,))
+        self.assertEqual(la.axes.names, ['time'])
+        assert_array_equal(la, [3722, 3395, 3347])
+
+        la = read_csv(abspath('test5d_liam2.csv'), dialect='liam2')
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+                           [3722, 3395, 3347])
+
     @unittest.skipIf(xw is None, "xlwings is not available")
     def test_read_excel_xlwings(self):
         la = read_excel(abspath('test.xlsx'), '1d')

From 3a89a83bd2a0fba1bb25d2bc2c589f36f6727f70 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 12:44:34 +0100
Subject: [PATCH 349/899] rewrote excel.Range.load() using from_lists and
 read_excel(engine='xlrd') to use df_aslarray

this simplifies the code a lot and gets us support for loading sparse files in both cases (fixes #29).
---
 larray/core.py  | 61 +++++++++++----------------------------
 larray/excel.py | 77 ++++---------------------------------------------
 2 files changed, 23 insertions(+), 115 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 3539925ef..6242e3fcf 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9105,8 +9105,7 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
                        fill_value=na)
 
 
-def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
-               na=np.nan, sort_rows=False, sort_columns=False,
+def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,
                engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
@@ -9116,69 +9115,43 @@ def read_excel(filepath, sheetname=0, nb_index=0, index_col=None,
     filepath : str
         Path where the Excel file has to be read.
     sheetname : str or int, optional
-        Name or index of the Excel sheet containing
-        the array to be read.
+        Name or index of the Excel sheet containing the array to be read.
         By default the array is read from the first sheet.
     nb_index : int, optional
-        Number of leading index columns (ex. 4).
-        Default to 0.
+        Number of leading index columns (ex. 4). Defaults to 1.
     index_col : list, optional
         List of columns for the index (ex. [0, 1, 2, 3]).
         Default to [0].
     na : scalar, optional
         Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically
-        (sorting is more efficient than not sorting).
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
     sort_columns : bool, optional
-        Whether or not to sort the columns alphabetically
-        (sorting is more efficient than not sorting).
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
     engine : {'xlrd', 'xlwings'}, optional
-        Engine to use to read the Excel file. If None (default),
-        it will use 'xlwings' by default if the module is installed
-        and relies on Pandas default reader otherwise.
+        Engine to use to read the Excel file. If None (default), it will use 'xlwings' by default if the module is
+        installed and relies on Pandas default reader otherwise.
     **kwargs
     """
     if engine is None:
         engine = 'xlwings' if xw is not None else None
 
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
     if engine == 'xlwings':
         from .excel import open_excel
         with open_excel(filepath) as wb:
-            return wb[sheetname].load(nb_index=nb_index, index_col=index_col)
+            return wb[sheetname].load(index_col=index_col)
     else:
-        if index_col is not None or nb_index > 0:
-            if index_col is None:
-                index_col = list(range(nb_index))
-            df = pd.read_excel(filepath, sheetname, index_col=index_col,
-                               engine=engine, **kwargs)
-            return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                               fill_value=na)
-        else:
-            # read array as it (2D)
-            df = pd.read_excel(filepath, sheetname, **kwargs)
-            # extract axes names and labels
-            columns = df.columns.values.tolist()
-            try:
-                # take the first column which contains '\'
-                pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
-            except StopIteration:
-                # we assume first column will not contains data
-                pos_last = 0
-            if pos_last > 0 or '\\' in str(columns[0]):
-                axes_names = columns[:pos_last + 1]
-                axes_labels = [union(df[axis_name]) for axis_name in axes_names]
-                axes_names = axes_names[:-1] + axes_names[-1].split('\\')
-                axes_labels.append(columns[pos_last + 1:])
-            else:
-                axes_names = [columns[0]]
-                axes_labels = [columns[1:]]
-            # build LArray object
-            axes = [Axis(name, labels) for name, labels in zip(axes_names, axes_labels)]
-            data = df.values[:, pos_last + 1:].reshape([len(axis) for axis in axes])
-            return LArray(data, axes)
+        df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
+        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None, fill_value=na)
 
 
 def read_sas(filepath, nb_index=0, index_col=None,
diff --git a/larray/excel.py b/larray/excel.py
index 751d716d3..8623fbbc6 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -6,7 +6,7 @@
 except ImportError:
     xw = None
 
-from .core import LArray, df_aslarray, Axis
+from .core import LArray, df_aslarray, Axis, from_lists
 from .utils import unique, basestring
 
 string_types = (str,)
@@ -270,9 +270,9 @@ def __dir__(self):
         def __getattr__(self, key):
             return getattr(self.xw_sheet, key)
 
-        def load(self, header=True, nb_index=0, index_col=None):
-            return self[:].load(header=header, nb_index=nb_index,
-                                index_col=index_col)
+        # TODO: add convert_float argument
+        def load(self, header=True, nb_index=None, index_col=None):
+            return self[:].load(header=header, nb_index=nb_index, index_col=index_col)
 
         # TODO: generalize to more than 2 dimensions or scrap it
         def array(self, data, row_labels=None, column_labels=None, names=None):
@@ -384,79 +384,14 @@ def __str__(self):
             return str(self.__larray__())
         __repr__ = __str__
 
-        def load(self, header=True, convert_float=True, nb_index=0,
-                 index_col=None):
+        def load(self, header=True, convert_float=True, nb_index=None, index_col=None):
             if not self.ndim:
                 return LArray([])
-            if index_col is None and nb_index > 0:
-                index_col = list(range(nb_index))
-            elif isinstance(index_col, int):
-                index_col = [index_col]
 
             list_data = self._converted_value(convert_float=convert_float)
 
             if header:
-                # TODO: try getting values via self[1:] instead of via the
-                # list so that we do not produce copies of data. Not sure which
-                # would be faster
-                header_line = list_data[0]
-                # TODO: factor this with read_csv
-                try:
-                    # take the first cell which contains '\'
-                    pos_last = next(i for i, v in enumerate(header_line)
-                                    if isinstance(v, basestring) and '\\' in v)
-                except StopIteration:
-                    # if there isn't any, assume 1d array, unless
-                    # "liam2 dialect"
-                    pos_last = -1
-
-                # '\' found => we have several axes names
-                if pos_last >= 0:
-                    axes_names = header_line[:pos_last + 1]
-                    # TODO: factor this with df_aslarray
-                    if isinstance(axes_names[-1], basestring) and \
-                            '\\' in axes_names[-1]:
-                        last_axes = [name.strip()
-                                     for name in axes_names[-1].split('\\')]
-                        axes_names = axes_names[:-1] + last_axes
-                # no axes names but index_col provided
-                elif index_col is not None:
-                    # TODO: use header_line in this case too to support
-                    # manually specifying nb_index when there are axes names
-                    # (whether the array is 1d or not)
-                    nb_axes = len(index_col) + 1
-                    axes_names = [None] * nb_axes
-                # assume 1d array
-                else:
-                    axes_names = [header_line[0]]
-
-                # this can only happen if both nb_index=0 and index_col is None
-                # TODO: nb_index should default to None instead of
-                #      0 so that we can force "no index at all" (ie 1d array)
-                if index_col is None:
-                    nb_index = len(axes_names) - 1
-                    index_col = list(range(nb_index))
-                assert isinstance(index_col, list)
-                # at this point index_col should be a list but it could be empty
-                col_offset = (max(index_col) + 1) if index_col else 1
-                # number of header lines or comment lines at the start of the
-                # file
-                # TODO: we need to support comments & more
-                row_offset = 1
-                data_no_header = list_data[row_offset:]
-                data = np.array([line[col_offset:] for line in data_no_header])
-
-                # TODO: add support for sparse data (ie make it dense) like
-                #       in df_aslarray
-                axes_labels = [list(unique([line[i]
-                                            for line in data_no_header]))
-                               for i in index_col]
-                axes_labels.append(header_line[col_offset:])
-                # TODO: detect anonymous axes
-                axes = [Axis(name, labels)
-                        for name, labels in zip(axes_names, axes_labels)]
-                data = data.reshape([len(axis) for axis in axes])
-                return LArray(data, axes)
+                return from_lists(list_data, nb_index=nb_index, index_col=index_col)
             else:
                 return LArray(list_data)
 

From 69d5b54050f08ec291d405ea8243a8a6fcd39e33 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 12:46:00 +0100
Subject: [PATCH 350/899] made read_sas the same signature & behavior as other
 I/O function regarding nb_index & index_col

---
 larray/core.py | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 6242e3fcf..f0bdedc85 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9154,19 +9154,22 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None, fill_value=na)
 
 
-def read_sas(filepath, nb_index=0, index_col=None,
-             na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """
     Reads sas file and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
     """
-    if index_col is None and nb_index > 0:
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
         index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
     df = pd.read_sas(filepath, index=index_col, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                       fill_value=na)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
 
 
 def zeros(axes, title='', dtype=float, order='C'):

From 786e251661dd2a22bd5cbb8c0582194ceabb1149 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 13:07:13 +0100
Subject: [PATCH 351/899] rewrap code

---
 larray/core.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f0bdedc85..4520fb009 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9068,8 +9068,7 @@ def read_tsv(filepath, **kwargs):
 def read_eurostat(filepath, **kwargs):
     """Reads EUROSTAT TSV (tab-separated) file into an array.
 
-    EUROSTAT TSV files are special because they use tabs as data
-    separators but comas to separate headers.
+    EUROSTAT TSV files are special because they use tabs as data separators but comas to separate headers.
 
     Parameters
     ----------
@@ -9101,8 +9100,7 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
     LArray
     """
     df = pd.read_hdf(filepath, key, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns,
-                       fill_value=na)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
 
 
 def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,

From 6561247fef5a58d9078ea6445224a948c8951f55 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 13:13:42 +0100
Subject: [PATCH 352/899] added tests for open_excel (closes #70) and add more
 tests for to_excel

---
 larray/tests/test_la.py | 349 ++++++++++++++++++++++++++++++++++++----
 1 file changed, 319 insertions(+), 30 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index e3482b228..1e659625a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -14,7 +14,8 @@
     xw = None
 
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
-                    read_csv, read_excel, zeros, zeros_like, ndrange, ndtest,
+                    read_csv, read_excel, open_excel,
+                    zeros, zeros_like, ndrange, ndtest,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
 from larray.core import _to_ticks, _to_key, df_aslarray
 
@@ -3060,17 +3061,324 @@ def test_to_csv(self):
         with open('test_out1d.csv') as f:
             self.assertEqual(f.readlines(), result)
 
-    def test_to_excel(self):
-        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
-                           [3722, 3395, 3347])
+    def test_to_excel_xlsxwriter(self):
+        fname = 'test_to_excel_xlsxwriter.xlsx'
+
+        # 1D
+        a1 = ndtest(3)
+
+        # fname/Sheet1/A1
+        a1.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # fname/Sheet1/A1(transposed)
+        a1.to_excel(fname, transpose=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # 2D
+        a2 = ndtest((2, 3))
+
+        # fname/Sheet1/A1
+        a2.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # fname/Sheet1/A10
+        # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
+        # a2.to_excel('fname', 'Sheet1', 'A10', engine='xlsxwriter')
+        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=9)
+        # assert_array_equal(res, a2)
+
+        # fname/other/A1
+        a2.to_excel(fname, 'other', engine='xlsxwriter')
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # 3D
+        a3 = ndtest((2, 3, 4))
+
+        # fname/Sheet1/A1
+        # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
+        a3.to_excel(fname, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+        # a3.to_excel('fname', overwrite_file=True, engine='openpyxl')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a3)
+
+        # fname/Sheet1/A20
+        # TODO: implement position (see above)
+        # a3.to_excel('fname', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=19)
+        # assert_array_equal(res, a3)
+
+        # fname/other/A1
+        a3.to_excel(fname, 'other', engine='xlsxwriter', merge_cells=False)
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a3)
+
+        # 1D
+        a1 = ndtest(3)
+
+        # fname/Sheet1/A1
+        a1.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # fname/Sheet1/A1(transposed)
+        a1.to_excel(fname, transpose=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # 2D
+        a2 = ndtest((2, 3))
+
+        # fname/Sheet1/A1
+        a2.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # fname/Sheet1/A10
+        # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
+        # a2.to_excel('fname', 'Sheet1', 'A10', engine='xlsxwriter')
+        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=9)
+        # assert_array_equal(res, a2)
+
+        # fname/other/A1
+        a2.to_excel(fname, 'other', engine='xlsxwriter')
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # 3D
+        a3 = ndtest((2, 3, 4))
+
+        # fname/Sheet1/A1
+        # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
+        a3.to_excel(fname, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+        # a3.to_excel('fname', overwrite_file=True, engine='openpyxl')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a3)
+
+        # fname/Sheet1/A20
+        # TODO: implement position (see above)
+        # a3.to_excel('fname', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=19)
+        # assert_array_equal(res, a3)
+
+        # fname/other/A1
+        a3.to_excel(fname, 'other', engine='xlsxwriter', merge_cells=False)
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a3)
 
-        la.to_excel('out.xlsx', '5d')
-        out = read_excel('out.xlsx', '5d', nb_index=4, engine=None)
-        assert_array_equal(out, la)
+    @unittest.skipIf(xw is None, "xlwings is not available")
+    def test_to_excel_xlwings(self):
+        # TODO: we should implement an app= argument to to_excel to reuse the same Excel instance
+        fname = 'test_to_excel_xlwings.xlsx'
+
+        # 1D
+        a1 = ndtest(3)
+
+        # live book/Sheet1/A1
+        # a1.to_excel()
+
+        # fname/Sheet1/A1
+        a1.to_excel(fname, overwrite_file=True, engine='xlwings')
+        # we use xlrd to read back instead of xlwings even if that should work, to make the test faster
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # fname/Sheet1/A1(transposed)
+        a1.to_excel(fname, transpose=True, engine='xlwings')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a1)
+
+        # 2D
+        a2 = ndtest((2, 3))
+
+        # fname/Sheet1/A1
+        a2.to_excel(fname, overwrite_file=True, engine='xlwings')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # fname/Sheet1/A10
+        a2.to_excel(fname, 'Sheet1', 'A10', engine='xlwings')
+        res = read_excel(fname, 'Sheet1', engine='xlrd', skiprows=9)
+        assert_array_equal(res, a2)
+
+        # fname/other/A1
+        a2.to_excel(fname, 'other', engine='xlwings')
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a2)
+
+        # 3D
+        a3 = ndtest((2, 3, 4))
+
+        # fname/Sheet1/A1
+        a3.to_excel(fname, overwrite_file=True, engine='xlwings')
+        res = read_excel(fname, engine='xlrd')
+        assert_array_equal(res, a3)
+
+        # fname/Sheet1/A20
+        a3.to_excel(fname, 'Sheet1', 'A20', engine='xlwings')
+        res = read_excel(fname, 'Sheet1', engine='xlrd', skiprows=19)
+        assert_array_equal(res, a3)
+
+        # fname/other/A1
+        a3.to_excel(fname, 'other', engine='xlwings')
+        res = read_excel(fname, 'other', engine='xlrd')
+        assert_array_equal(res, a3)
+
+    @unittest.skipIf(xw is None, "xlwings is not available")
+    def test_open_excel(self):
+        # use a single Excel instance to speed up the test
+        app = xw.App(visible=False, add_book=False)
+
+        # 1) with headers
+        # ===============
+
+        with open_excel('test_open_excel.xlsx', app=app) as wb:
+            # 1D
+            a1 = ndtest(3)
+
+            # Sheet1/A1
+            wb['Sheet1'] = a1.dump()
+            res = wb['Sheet1'].load()
+            assert_array_equal(res, a1)
+
+            wb[0] = a1.dump()
+            res = wb[0].load()
+            assert_array_equal(res, a1)
+
+            # Sheet1/A1(transposed)
+            # TODO: implement .options on Sheet so that one can write:
+            # wb[0].options(transpose=True).value = a1.dump()
+            wb[0]['A1'].options(transpose=True).value = a1.dump()
+            # TODO: implement .options on Range so that you can write:
+            # res = wb[0]['A1:B4'].options(transpose=True).load()
+            # res = from_lists(wb[0]['A1:B4'].options(transpose=True).value)
+            # assert_array_equal(res, a1)
+
+            # 2D
+            a2 = ndtest((2, 3))
+
+            # Sheet1/A1
+            wb[0] = a2.dump()
+            res = wb[0].load()
+            assert_array_equal(res, a2)
+
+            # Sheet1/A10
+            wb[0]['A10'] = a2.dump()
+            res = wb[0]['A10:D12'].load()
+            assert_array_equal(res, a2)
+
+            # other/A1
+            wb['other'] = a2.dump()
+            res = wb['other'].load()
+            assert_array_equal(res, a2)
+
+            # new/A10
+            # we need to create the sheet first
+            wb['new'] = ''
+            wb['new']['A10'] = a2.dump()
+            res = wb['new']['A10:D12'].load()
+            assert_array_equal(res, a2)
+
+            # new2/A10
+            # cannot store the return value of "add" because that's a raw xlwings Sheet
+            wb.sheets.add('new2')
+            wb['new2']['A10'] = a2.dump()
+            res = wb['new2']['A10:D12'].load()
+            assert_array_equal(res, a2)
+
+            # 3D
+            a3 = ndtest((2, 3, 4))
+
+            # 3D/A1
+            wb['3D'] = a3.dump()
+            res = wb['3D'].load()
+            assert_array_equal(res, a3)
+
+            # 3D/A20
+            wb['3D']['A20'] = a3.dump()
+            res = wb['3D']['A20:F26'].load()
+            assert_array_equal(res, a3)
+
+            # 3D/A20 without name for columns
+            wb['3D']['A20'] = a3.dump()
+            # assume we have no name for the columns axis (ie change b\c to b)
+            wb['3D']['B20'] = 'b'
+            res = wb['3D']['A20:F26'].load(nb_index=2)
+            assert_array_equal(res, a3.data)
+            # the two first axes should be the same
+            self.assertEqual(res.axes[:2], a3.axes[:2])
+            # the third axis should have the same labels (but not the same name obviously)
+            assert_array_equal(res.axes[2].labels, a3.axes[2].labels)
+
+        # 2) without headers
+        # ==================
+        with open_excel('test_open_excel_no_headers.xlsx', app=app) as wb:
+            # 1D
+            a1 = ndtest(3)
+
+            # Sheet1/A1
+            wb['Sheet1'] = a1
+            res = wb['Sheet1'].load(header=False)
+            assert_array_equal(res, a1.data)
+
+            wb[0] = a1
+            res = wb[0].load(header=False)
+            assert_array_equal(res, a1.data)
+
+            # Sheet1/A1(transposed)
+            # FIXME: we need to .dump(header=False) explicitly because otherwise we go via LArrayConverter which
+            #        includes labels.
+            #        for consistency's sake we should either change LArrayConverter to not include labels, or
+            #        change wb[0] = a1 to include them (and use wb[0] = a1.data to avoid them?) but that would be
+            #        heavily backward incompatible and how would I load them back?
+            # wb[0]['A1'].options(transpose=True).value = a1
+            wb[0]['A1'].options(transpose=True).value = a1.dump(header=False)
+            res = wb[0]['A1:A3'].load(header=False)
+            assert_array_equal(res, a1.data)
+
+            # 2D
+            a2 = ndtest((2, 3))
+
+            # Sheet1/A1
+            wb[0] = a2
+            res = wb[0].load(header=False)
+            assert_array_equal(res, a2.data)
+
+            # Sheet1/A10
+            wb[0]['A10'] = a2
+            res = wb[0]['A10:C11'].load(header=False)
+            assert_array_equal(res, a2.data)
+
+            # other/A1
+            wb['other'] = a2
+            res = wb['other'].load(header=False)
+            assert_array_equal(res, a2.data)
+
+            # new/A10
+            # we need to create the sheet first
+            wb['new'] = ''
+            wb['new']['A10'] = a2
+            res = wb['new']['A10:C11'].load(header=False)
+            assert_array_equal(res, a2.data)
+
+            # 3D
+            a3 = ndtest((2, 3, 4))
+
+            # 3D/A1
+            wb['3D'] = a3
+            res = wb['3D'].load(header=False)
+            assert_array_equal(res, a3.data.reshape((6, 4)))
+
+            # 3D/A20
+            wb['3D']['A20'] = a3
+            res = wb['3D']['A20:D25'].load(header=False)
+            assert_array_equal(res, a3.data.reshape((6, 4)))
+
+        app.quit()
 
     def test_ufuncs(self):
         la = self.small
@@ -3250,25 +3558,6 @@ def test_plot(self):
         #large.plot()
         #large.hist()
 
-    # def test_to_excel(self):
-    #     a = ndrange('a=a1,a2,a3')
-    #     b = ndrange('a=a1,a2,a3;b=b1,b2')
-    #
-    #     # Book1/Sheet1/A1
-    #     a.to_excel()
-    #     # Book2/Sheet1/A1
-    #     a.to_excel(transpose=True)
-    #     # Book1/Sheet2/A1
-    #     b.to_excel('Book1')
-    #     # Book1/Sheet1/A10
-    #     b.to_excel('Book1', 'Sheet1', 'A10')
-    #     # b.xlsx/Sheet1/A1
-    #     b.to_excel('c:/tmp/b.xlsx', overwrite_file=True)
-    #     # b.xlsx/YADA/A1
-    #     b.to_excel('c:/tmp/b.xlsx', 'YADA')
-    #     # b.xlsx/Sheet1/A10
-    #     b.to_excel('c:/tmp/b.xlsx', 'Sheet1', 'A10')
-
     def test_combine_axes(self):
         arr = ndtest((2, 3, 4, 5))
         res = arr.combine_axes((x.a, x.b))

From c529f04d4a487c287a184bbe0da78c697daf773d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 13:39:03 +0100
Subject: [PATCH 353/899] added skeleton release notes

---
 doc/source/changes/version_0_20.rst.inc | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 doc/source/changes/version_0_20.rst.inc

diff --git a/doc/source/changes/version_0_20.rst.inc b/doc/source/changes/version_0_20.rst.inc
new file mode 100644
index 000000000..8fadea21a
--- /dev/null
+++ b/doc/source/changes/version_0_20.rst.inc
@@ -0,0 +1,25 @@
+IMPORTANT
+---------
+
+this release should installed using:
+
+  conda install larrayenv
+
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).

From 31df1fdbc9461d76f7a55efe7e78c58c1fd722ff Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 9 Feb 2017 09:53:51 +0100
Subject: [PATCH 354/899] Update release note version_0_2.rst.inc (#98)

Update release notes for version 0.20
---
 doc/source/changes/version_0_2.rst.inc  |  2 +-
 doc/source/changes/version_0_20.rst.inc | 24 ++++++++++++++++++++++--
 2 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_2.rst.inc b/doc/source/changes/version_0_2.rst.inc
index 81ee7a760..778b53cc4 100644
--- a/doc/source/changes/version_0_2.rst.inc
+++ b/doc/source/changes/version_0_2.rst.inc
@@ -26,4 +26,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* column titles are no longer converted to lowercase.
\ No newline at end of file
+* column titles are no longer converted to lowercase.
diff --git a/doc/source/changes/version_0_20.rst.inc b/doc/source/changes/version_0_20.rst.inc
index 8fadea21a..90b08bb79 100644
--- a/doc/source/changes/version_0_20.rst.inc
+++ b/doc/source/changes/version_0_20.rst.inc
@@ -17,9 +17,29 @@ New features
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* viewer: view and edit functions accept path to file containing
+  arrays to be loaded as argument.
+
+* plot function from viewer updated: can plot several rows/columns.
+  Draw a new curve for each row except if only one column has been
+  selected.
+
+* allowed to get axis from array using syntax a.axis_name
+  (instead of a.axes.axis_name)
 
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* viewer: filtering on anonymous axes is now possible
+  (closes :issue:`33`).
+
+* viewer: selection of entire rows/columns will
+  load all data (closes :issue:`37`).
+
+* 'by' aggregation functions accept both axes and groups
+  (closes :issue:`59`).
+
+* nb_index is no longer required in read_excel when
+  using xlrd engine (closes :issue:`66`).
+
+

From 6cf7836136d14631a5301d412f385f5a0626435d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 11:21:02 +0100
Subject: [PATCH 355/899] raise an error when invalid arguments are passed to
 read_excel (fixes #91) (#95)

---
 larray/core.py          | 3 +++
 larray/tests/test_la.py | 4 ++++
 2 files changed, 7 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 4520fb009..a9c68eb57 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9144,6 +9144,9 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         index_col = [index_col]
 
     if engine == 'xlwings':
+        if kwargs:
+            raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
+                            .format(list(kwargs.keys())[0]))
         from .excel import open_excel
         with open_excel(filepath) as wb:
             return wb[sheetname].load(index_col=index_col)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 1e659625a..0bb851955 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2965,6 +2965,10 @@ def test_read_excel_xlwings(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+        with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
+                                                "the xlwings backend"):
+            read_excel('test.xlsx', engine='xlwings', dtype=float)
+
     def test_read_excel_pandas(self):
         la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
         self.assertEqual(la.ndim, 1)

From 8e62d5ec691e7f2654a8e7ba82a631b31f7c5856 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 15:33:33 +0100
Subject: [PATCH 356/899] better docstring for from_lists

---
 larray/core.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index a9c68eb57..dd572c4c7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8905,7 +8905,13 @@ def from_lists(data, nb_index=None, index_col=None):
 
     Parameters
     ----------
-    data : iterable (tuple, list, ...)
+    data : sequence (tuple, list, ...)
+        Input data.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
 
     Returns
     -------

From aeb7a9ebdec2e095b5ac5dede49e61b2dc4b1bf8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 16:00:46 +0100
Subject: [PATCH 357/899] added test for eurostat formatted file

(though it shows that loading integer labels does not work)
---
 larray/tests/test5d_eurostat.csv | 41 ++++++++++++++++++++++++++++++++
 larray/tests/test_la.py          | 11 ++++++++-
 2 files changed, 51 insertions(+), 1 deletion(-)
 create mode 100644 larray/tests/test5d_eurostat.csv

diff --git a/larray/tests/test5d_eurostat.csv b/larray/tests/test5d_eurostat.csv
new file mode 100644
index 000000000..b0929d1a2
--- /dev/null
+++ b/larray/tests/test5d_eurostat.csv
@@ -0,0 +1,41 @@
+arr,age,sex,nat\time	2007	2010	2013
+1,0,F,1	3722	3395	3347
+1,0,F,2	338	316	323
+1,0,M,1	2878	2791	2822
+1,0,M,2	1121	1037	976
+1,1,F,1	4073	4161	4429
+1,1,F,2	1561	1463	1467
+1,1,M,1	3507	3741	3366
+1,1,M,2	2052	2052	2118
+1,2,F,1	4807	4868	4852
+1,2,F,2	3785	3508	3172
+1,2,M,1	4464	4692	4839
+1,2,M,2	95	100	103
+1,3,F,1	1135	1023	928
+1,3,F,2	3121	3180	2900
+1,3,M,1	3850	4118	3716
+1,3,M,2	4174	4131	4290
+1,4,F,1	4072	3775	3781
+1,4,F,2	4392	4305	4215
+1,4,M,1	1657	1492	1360
+1,4,M,2	916	973	895
+2,0,F,1	141	135	141
+2,0,F,2	3713	3952	3895
+2,0,M,1	1616	1499	1556
+2,0,M,2	1895	2029	1946
+2,1,F,1	3272	3501	3584
+2,1,F,2	793	725	679
+2,1,M,1	4766	5007	5242
+2,1,M,2	2943	2670	2525
+2,2,F,1	3594	3922	4019
+2,2,F,2	4150	3813	3576
+2,2,M,1	1264	1244	1333
+2,2,M,2	1922	1970	1972
+2,3,F,1	380	400	387
+2,3,F,2	3860	3787	3431
+2,3,M,1	2962	3112	2962
+2,3,M,2	2679	2599	2490
+2,4,F,1	4159	4210	4461
+2,4,F,2	28	27	28
+2,4,M,1	2887	2972	2837
+2,4,M,2	2712	2827	2806
\ No newline at end of file
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 0bb851955..7e16c4eff 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -14,7 +14,7 @@
     xw = None
 
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
-                    read_csv, read_excel, open_excel,
+                    read_csv, read_eurostat, read_excel, open_excel,
                     zeros, zeros_like, ndrange, ndtest,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
 from larray.core import _to_ticks, _to_key, df_aslarray
@@ -2938,6 +2938,15 @@ def test_read_csv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
+    def test_read_eurostat(self):
+        la = read_eurostat(abspath('test5d_eurostat.csv'))
+        self.assertEqual(la.ndim, 5)
+        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
+        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
+        # FIXME: integer labels should be parsed as such
+        assert_array_equal(la[x.arr['1'], '0', 'F', x.nat['1'], :],
+                           [3722, 3395, 3347])
+
     @unittest.skipIf(xw is None, "xlwings is not available")
     def test_read_excel_xlwings(self):
         la = read_excel(abspath('test.xlsx'), '1d')

From 233d267bd84d0f5a25259e4385b3826de3f9352d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 8 Feb 2017 16:50:44 +0100
Subject: [PATCH 358/899] do not parse column names when loading an .h5 file
 (fixes #72)

also added test for "normal" hdf roundtrip
---
 larray/core.py          | 19 +++++++++----------
 larray/tests/test_la.py | 24 ++++++++++++++++++++++--
 2 files changed, 31 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index dd572c4c7..0dd8e6b2f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8839,7 +8839,7 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
     return df.reindex(new_index, columns, **kwargs), labels
 
 
-def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, **kwargs):
+def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
     # the dataframe was read without index at all (ie 2D dataframe), irrespective of the actual data dimensionality
     if raw:
         columns = df.columns.values.tolist()
@@ -8887,10 +8887,9 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, **kwargs):
     # would be much uglier and would not lower the peak memory usage which
     # happens during cartesian_product_df.reindex
 
-    # FIXME: this should only happen when reading "text"-like files, not binary files, like HDF.
-    # pandas treats the "time" labels as column names (strings) so we need
-    # to convert them to values
-    axes_labels.append([parse(cell) for cell in df.columns.values])
+    # Pandas treats column labels as column names (strings) so we need to convert them to values
+    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
+    axes_labels.append(last_axis_labels)
     axes_names = [str(name) if name is not None else name
                   for name in axes_names]
 
@@ -8906,7 +8905,7 @@ def from_lists(data, nb_index=None, index_col=None):
     Parameters
     ----------
     data : sequence (tuple, list, ...)
-        Input data.
+        Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
     nb_index : int, optional
         Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
         by using the position of the first '\' in the first line.
@@ -8959,7 +8958,7 @@ def from_lists(data, nb_index=None, index_col=None):
     if index_col is not None:
         df.set_index([df.columns[c] for c in index_col], inplace=True)
 
-    return df_aslarray(df, raw=index_col is None)
+    return df_aslarray(df, raw=index_col is None, parse_header=False)
 
 
 def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
@@ -8988,6 +8987,7 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
     sep : str, optional
         Separator.
     headersep : str or None, optional
+        Separator for headers.
     na : scalar, optional
         Value for NaN (Not A Number). Defaults to NumPy NaN.
     sort_rows : bool, optional
@@ -9090,8 +9090,7 @@ def read_eurostat(filepath, **kwargs):
     return read_csv(filepath, sep='\t', headersep=',', **kwargs)
 
 
-def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
-             **kwargs):
+def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """Reads an array named key from a HDF5 file in filepath (path+name)
 
     Parameters
@@ -9106,7 +9105,7 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False,
     LArray
     """
     df = pd.read_hdf(filepath, key, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, parse_header=False)
 
 
 def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 7e16c4eff..b598a1003 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -14,8 +14,8 @@
     xw = None
 
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
-                    read_csv, read_eurostat, read_excel, open_excel,
-                    zeros, zeros_like, ndrange, ndtest,
+                    read_hdf, read_csv, read_eurostat, read_excel, open_excel,
+                    zeros, zeros_like, ndrange, ndtest, from_lists,
                     ones, eye, diag, clip, exp, where, x, mean, isnan, round)
 from larray.core import _to_ticks, _to_key, df_aslarray
 
@@ -2899,6 +2899,26 @@ def test_extend(self):
         la = la.extend('sex', la.sum(sex=(sex.all(),)))
         self.assertEqual(la.shape, (3, 16))
 
+    def test_hdf_roundtrip(self):
+        a = ndtest((2, 3))
+        a.to_hdf(abspath('test.h5'), 'a')
+        res = read_hdf(abspath('test.h5'), 'a')
+
+        self.assertEqual(a.ndim, 2)
+        self.assertEqual(a.shape, (2, 3))
+        self.assertEqual(a.axes.names, ['a', 'b'])
+        assert_array_equal(res, a)
+
+        # issue 72: int-like strings should not be parsed (should round-trip correctly)
+        a = from_lists([['axis', '10', '20'],
+                        ['',        0,    1]])
+        a.to_hdf(abspath('issue72.h5'), 'a')
+        res = read_hdf(abspath('issue72.h5'), 'a')
+        self.assertEqual(res.ndim, 1)
+        axis = res.axes[0]
+        self.assertEqual(axis.name, 'axis')
+        assert_array_equal(axis.labels, ['10', '20'])
+
     def test_read_csv(self):
         la = read_csv(abspath('test1d.csv'))
         self.assertEqual(la.ndim, 1)

From f907f5e05601a3560b3d5a5b9607ec943066eb69 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 08:52:42 +0100
Subject: [PATCH 359/899] fix viewer colors for integer arrays with very large
 differences/overflows (fixes #35)

---
 larray/viewer.py | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 974d02c70..645d06b4b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -513,8 +513,8 @@ def reset_minmax(self):
         data = self.get_values()
         try:
             color_value = self.color_func(data)
-            self.vmin = np.nanmin(color_value)
-            self.vmax = np.nanmax(color_value)
+            self.vmin = float(np.nanmin(color_value))
+            self.vmax = float(np.nanmax(color_value))
             if self.vmax == self.vmin:
                 self.vmin -= 1
             self.bgcolor_enabled = True
@@ -628,10 +628,9 @@ def data(self, index, role=Qt.DisplayRole):
                 return color
             elif self.bgcolor_enabled and value is not np.ma.masked:
                 if self.bg_gradient is None:
-                    hue = self.hue0 + \
-                          self.dhue * (self.vmax - self.color_func(value)) \
-                                    / (self.vmax - self.vmin)
-                    hue = float(np.abs(hue))
+                    maxdiff = self.vmax - self.vmin
+                    color_val = float(self.color_func(value))
+                    hue = self.hue0 + self.dhue * (self.vmax - color_val) / maxdiff
                     color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
                     return to_qvariant(color)
                 else:
@@ -762,9 +761,9 @@ def set_values(self, left, top, right, bottom, values):
                       ((old_colorval == self.vmin) & (colorval > self.vmin))):
                 self.reset_minmax()
             if np.any(colorval > self.vmax):
-                self.vmax = np.nanmax(colorval)
+                self.vmax = float(np.nanmax(colorval))
             if np.any(colorval < self.vmin):
-                self.vmin = np.nanmin(colorval)
+                self.vmin = float(np.nanmin(colorval))
 
         xoffset = len(self.xlabels) - 1
         yoffset = len(self.ylabels) - 1
@@ -2665,6 +2664,10 @@ def restore_display_hook():
     arr5 = arr3.max(la.x.sex)
     arr6 = arr3.mean(la.x.sex)
 
+    # test isssue #35
+    arr7 = la.from_lists([['a',                   1,                    2,                    3],
+                          [ '', 1664780726569649730, -9196963249083393206, -7664327348053294350]])
+
     # compare(arr3, arr4, arr5, arr6)
 
     # view(la.stack((arr3, arr4), la.Axis('arrays', 'arr3,arr4')))

From 149d654254e4e9720d886905b6e6338065be86ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 09:49:34 +0100
Subject: [PATCH 360/899] added TODO/XXX

---
 larray/viewer.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index 645d06b4b..7e3687506 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -470,9 +470,15 @@ def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
 
         # for complex numbers, shading will be based on absolute value
         # but for all other types it will be the real part
+        # TODO: there are a lot more complex dtypes than this. Is there a way to get them all in one shot?
         if data.dtype in (np.complex64, np.complex128):
             self.color_func = np.abs
         else:
+            # XXX: this is a no-op (it returns the array itself) for most types (I think all non complex types)
+            #      => use an explicit nop?
+            # def nop(v):
+            #     return v
+            # self.color_func = nop
             self.color_func = np.real
         self.bg_gradient = bg_gradient
         self.bg_value = bg_value

From 25190db90f99a8fff731094303b313aeca134096 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 16:19:58 +0100
Subject: [PATCH 361/899] add my own stuff to the release notes and
 improve/complete Alix stuff

---
 doc/source/changes/version_0_20.rst.inc | 140 ++++++++++++++++++++----
 1 file changed, 121 insertions(+), 19 deletions(-)

diff --git a/doc/source/changes/version_0_20.rst.inc b/doc/source/changes/version_0_20.rst.inc
index 90b08bb79..0614a59d2 100644
--- a/doc/source/changes/version_0_20.rst.inc
+++ b/doc/source/changes/version_0_20.rst.inc
@@ -1,45 +1,147 @@
 IMPORTANT
 ---------
 
-this release should installed using:
+To make sure all users have all optional dependencies installed and use the same version of packages, and to simplify
+the update process, we created a new "larrayenv" package which will install larray itself AND all its dependencies
+(*including* the optional ones). This means that this version needs to be installed using:
 
   conda install larrayenv
 
+in the future, to update from one version to the next, it should always be enough to do:
+
+  conda update larrayenv
+
 New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+* implemented from_lists() to create constant arrays (instead of using LArray directly as that is very error prone).
+  We are not really happy with its name though, so it might change in the future. Any suggestion of a better name is
+  very welcome (closes :issue:`30`).
+
+    >>> from_lists([['sex\\year', 1991, 1992, 1993],
+    ...             [ 'M',           0,    1,    2],
+    ...             [ 'F',           3,    4,    5]])
+    sex\year | 1991 | 1992 | 1993
+           M |    0 |    1 |    2
+           F |    3 |    4 |    5
+
+* added support for loading sparse arrays via open_excel().
 
-* added another feature.
+  For example, assuming you have a sheet like this:
+
+    age | sex\year | 2015 | 2016
+     10 |        F |  0.0 |  1.0
+     10 |        M |  2.0 |  3.0
+     20 |        M |  4.0 |  5.0
+
+    >>> wb = open_excel('test_sparse.xlsx')
+    >>> arr = wb['Sheet1'].load()
+    >>> arr
+    age | sex\year | 2015 | 2016
+     10 |        F |  0.0 |  1.0
+     10 |        M |  2.0 |  3.0
+     20 |        F |  nan |  nan
+     20 |        M |  4.0 |  5.0
 
-.. _misc:
 
 Miscellaneous improvements
 --------------------------
 
-* viewer: view and edit functions accept path to file containing
-  arrays to be loaded as argument.
+* allowed to get an axis from an array by using array.axis_name in addition to array.axes.axis_name:
+
+    >>> arr = ndtest((2, 3))
+    >>> arr.axes
+    AxisCollection([
+        Axis('a', ['a0', 'a1']),
+        Axis('b', ['b0', 'b1', 'b2'])
+    ])
+    >>> arr.a
+    Axis('a', ['a0', 'a1'])
+
+* viewer: several rows/columns can be plotted together. It draws a separate line for each row except if only one column
+  has been selected.
+
+* viewer: the array labels are used as "ticks" in plots.
+
+* '_by' aggregation methods accept groups in addition to axes (closes :issue:`59`). It will keep only the mentioned
+  groups and aggregate all other dimensions:
+
+    >>> arr = ndtest((2, 3, 4))
+    >>> arr
+     a | b\c | c0 | c1 | c2 | c3
+    a0 |  b0 |  0 |  1 |  2 |  3
+    a0 |  b1 |  4 |  5 |  6 |  7
+    a0 |  b2 |  8 |  9 | 10 | 11
+    a1 |  b0 | 12 | 13 | 14 | 15
+    a1 |  b1 | 16 | 17 | 18 | 19
+    a1 |  b2 | 20 | 21 | 22 | 23
+
+    >>> arr.sum_by('c0,c1;c1:c3')
+    c | c0,c1 | c1:c3
+      |   126 |   216
+
+* viewer: view() and edit() now accept as argument a path to a file containing arrays.
+
+  >>> view('myfile.h5')
 
-* plot function from viewer updated: can plot several rows/columns.
-  Draw a new curve for each row except if only one column has been
-  selected.
+  this is a shortcut for:
+
+  >>> view(Session('myfile.h5'))
+
+* AxisCollection.without now accepts a single integer position (to exclude an axis by position).
+
+    >>> a = ndtest((2, 3))
+    >>> a.axes
+    AxisCollection([
+        Axis('a', ['a0', 'a1']),
+        Axis('b', ['b0', 'b1', 'b2'])
+    ])
+    >>> a.axes.without(0)
+    AxisCollection([
+        Axis('b', ['b0', 'b1', 'b2'])
+    ])
+
+* nicer display (repr) for LSet (closes :issue:`44).
+
+    >>> x.b['b0,b2'].set()
+    x.b['b0', 'b2'].set()
+
+* implemented sep argument for LArray & AxisCollection.combine_axes() to allow using a custom delimiter
+  (closes :issue:`53`).
+
+* added a check that ipfp target sums haves expected axes (closes :issue:`42`).
+
+* when the nb_index argument is not provided explicitly in read_excel(engine='xlrd'), it is autodetected from the
+  position of the first "\" (closes :issue:`66`).
+
+* allow any special character except "." and whitespace when creating axes labels using ".." syntax
+  (previously only _ was allowed).
+
+* added many more I/O tests to hopefully lower our regression rate in the future (closes :issue:`70`).
 
-* allowed to get axis from array using syntax a.axis_name
-  (instead of a.axes.axis_name)
 
 Fixes
 -----
 
-* viewer: filtering on anonymous axes is now possible
-  (closes :issue:`33`).
+* viewer: selection of entire rows/columns will load any remaining data, if any (closes :issue:`37`). Previously if you
+  selected entire rows or columns of a large dataset (which is not loaded entirely from the start), it only selected
+  (and thus copied/plotted) the part of the data which was already loaded.
+
+* viewer: filtering on anonymous axes is now possible (closes :issue:`33`).
+
+* fixed loading sparse files using read_excel() (fixes :issue:`29`).
+
+* fixed nb_index argument for read_excel().
+
+* fixed creating range axes with a negative start bound using string notation (e.g. `Axis('name', '-1..10')`)
+  (fixes :issue:`51`).
 
-* viewer: selection of entire rows/columns will
-  load all data (closes :issue:`37`).
+* fixed ptp() function.
 
-* 'by' aggregation functions accept both axes and groups
-  (closes :issue:`59`).
+* fixed with_axes() to copy the title of the array.
 
-* nb_index is no longer required in read_excel when
-  using xlrd engine (closes :issue:`66`).
+* fixed Group >> 'name'.
 
+* fixed workbook[sheet_position] when using open_excel().
 
+* fixed plotting in the viewer when using Qt4.

From d90fae5e545dca65a413042546540435d43db75f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 16:22:05 +0100
Subject: [PATCH 362/899] improve a few docstrings/comments/code style

---
 larray/viewer.py | 32 +++++++++++++++-----------------
 1 file changed, 15 insertions(+), 17 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 7e3687506..270917960 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1077,7 +1077,6 @@ def _selection_data(self, headers=True, none_selects_all=True):
         Returns
         -------
         numpy.ndarray or itertools.chain
-
         """
         bounds = self._selection_bounds(none_selects_all=none_selects_all)
         if bounds is None:
@@ -1118,7 +1117,7 @@ def _selection_data(self, headers=True, none_selects_all=True):
 
     @Slot()
     def copy(self):
-        """Copy array as text to clipboard"""
+        """Copy selection as text to clipboard"""
         data = self._selection_data()
         if data is None:
             return
@@ -1136,7 +1135,7 @@ def vrepr(v):
 
     @Slot()
     def to_excel(self):
-        """Copy array as text to clipboard"""
+        """View selection in Excel"""
         if xw is None:
             raise Exception("to_excel() is not available because xlwings is "
                             "not installed")
@@ -1144,10 +1143,11 @@ def to_excel(self):
         if data is None:
             return
         # convert (row) generators to lists then array
-        # XXX: is the conversion to array necesarry? I think xlwings will
-        # translate back to a list anyway?!
-        a = np.array([list(r) for r in data])
-        xw.view(a)
+        # TODO: the conversion to array is currently necessary even though xlwings will translate it back to a list
+        #       anyway. The problem is that our lists contains numpy types and especially np.str_ crashes xlwings.
+        #       unsure how we should fix this properly: in xlwings, or change _selection_data to return only standard
+        #       Python types.
+        xw.view(np.array([list(r) for r in data]))
 
     @Slot()
     def paste(self):
@@ -1189,11 +1189,10 @@ def paste(self):
 
     def plot(self):
         if not matplotlib_present:
-            raise Exception("plot() is not available because matplotlib is not "
-                            "installed")
-        # we use np.asarray to work around missing "newaxis" implementation
-        # in LArray
+            raise Exception("plot() is not available because matplotlib is not installed")
         data = self._selection_data(headers=False)
+        if data is None:
+            return
 
         row_min, row_max, col_min, col_max = self._selection_bounds()
         dim_names = self.model().xlabels[0]
@@ -1210,8 +1209,7 @@ def plot(self):
         if data.shape[1] == 1:
             # plot one column
             xlabel = ','.join(dim_names[:-1])
-            xticklabels = ['\n'.join(
-                [str(ylabels[j][r]) for j in range(1, len(ylabels))])
+            xticklabels = ['\n'.join([str(ylabels[j][r]) for j in range(1, len(ylabels))])
                            for r in range(row_min, row_max)]
             ax.plot(data[:, 0])
             ax.set_ylabel(xlabels[1][col_min])
@@ -1714,9 +1712,9 @@ def ndarray_to_array_and_labels(data):
     -------
     data : 2D array
         Content of input array is returned as 2D array.
-    xlabels : list of list
+    xlabels : list of sequences
         Labels of rows.
-    ylabels : list of list
+    ylabels : list of sequences
         Labels of columns (cartesian product of of all axes
         except the last one).
     """
@@ -1755,9 +1753,9 @@ def larray_to_array_and_labels(data):
     -------
     data : 2D array
         Content of input LArray is returned as 2D array.
-    xlabels : list of list
+    xlabels : list of sequences
         Labels of rows (names of axes + labels of last axis).
-    ylabels : list of list
+    ylabels : list of sequences
         Labels of columns (cartesian product of labels of all axes
         except the last one).
     """

From dd447ca7ce9a63123148da0d5b12ec2a23c6b8a5 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 10 Feb 2017 16:56:09 +0100
Subject: [PATCH 363/899] fix #92 : cleanup --> replace all 'H' label by 'M'
 label. (#105)

---
 doc/source/contribute.rst |   4 +-
 larray/core.py            |  10 +-
 larray/tests/test_la.py   | 188 +++++++++++++++++++-------------------
 larray/viewer.py          |   4 +-
 4 files changed, 103 insertions(+), 103 deletions(-)

diff --git a/doc/source/contribute.rst b/doc/source/contribute.rst
index 98dd480a2..b80adbb71 100644
--- a/doc/source/contribute.rst
+++ b/doc/source/contribute.rst
@@ -187,8 +187,8 @@ For example: ::
           pass
 
       def test_split(self):
-          self.assertEqual(to_ticks('H,F'), ['H', 'F'])
-          self.assertEqual(to_ticks('H, F'), ['H', 'F'])
+          self.assertEqual(to_ticks('M,F'), ['M', 'F'])
+          self.assertEqual(to_ticks('M, F'), ['M', 'F'])
 
 To run all unit tests: ::
 
diff --git a/larray/core.py b/larray/core.py
index 0dd8e6b2f..1c72de6b2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -435,8 +435,8 @@ def _to_ticks(s):
 
     Examples
     --------
-    >>> _to_ticks('H , F')
-    ['H', 'F']
+    >>> _to_ticks('M , F')
+    ['M', 'F']
 
     >>> list(_to_ticks('..3'))
     [0, 1, 2, 3]
@@ -2449,7 +2449,7 @@ def isaxis(self, value):
                                            value in self)
         # 2) slightly inconsistent API: allow aggregate over single labels
         #    if they are string, but not int
-        #    arr.sum(0) would sum on the first axis, but arr.sum('H') would
+        #    arr.sum(0) would sum on the first axis, but arr.sum('M') would
         #    sum a single tick. I don't like this option.
         # 3) disallow single tick aggregates. Single labels make little
         #    sense in the context of an aggregate, but you don't always
@@ -5912,7 +5912,7 @@ def ratio(self, *axes):
         # # >>> a.ratio([0, 1], [2])
         # # >>> a.ratio(x.age[[0, 1]], x.age[2])
         # >>> a.ratio((x.age[[0, 1]], x.age[2]))
-        # nat\\sex |            H |   F
+        # nat\\sex |            M |   F
         #      BE |          0.0 | 1.0
         #      FO | 0.6666666666 | 1.0
         return self / self.sum(*axes)
@@ -10011,7 +10011,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 #      => potentially longer
 #      => unsure for now. The most important point is that it should be
 #         consistent with other functions.
-# stack(a1, a2, axis=Axis('sex', 'H,F'))
+# stack(a1, a2, axis=Axis('sex', 'M,F'))
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
 def stack(arrays, axis=None, title=''):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index b598a1003..f8fbf3bac 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -76,8 +76,8 @@ def nan_equal(a, b):
 
 class TestValueStrings(TestCase):
     def test_split(self):
-        self.assertEqual(_to_ticks('H,F'), ['H', 'F'])
-        self.assertEqual(_to_ticks('H, F'), ['H', 'F'])
+        self.assertEqual(_to_ticks('M,F'), ['M', 'F'])
+        self.assertEqual(_to_ticks('M, F'), ['M', 'F'])
 
     def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
@@ -93,14 +93,14 @@ def test_range(self):
 
 class TestKeyStrings(TestCase):
     def test_nonstring(self):
-        self.assertEqual(_to_key(('H', 'F')), ['H', 'F'])
-        self.assertEqual(_to_key(['H', 'F']), ['H', 'F'])
+        self.assertEqual(_to_key(('M', 'F')), ['M', 'F'])
+        self.assertEqual(_to_key(['M', 'F']), ['M', 'F'])
 
     def test_split(self):
-        self.assertEqual(_to_key('H,F'), ['H', 'F'])
-        self.assertEqual(_to_key('H, F'), ['H', 'F'])
-        self.assertEqual(_to_key('H,'), ['H'])
-        self.assertEqual(_to_key('H'), 'H')
+        self.assertEqual(_to_key('M,F'), ['M', 'F'])
+        self.assertEqual(_to_key('M, F'), ['M', 'F'])
+        self.assertEqual(_to_key('M,'), ['M'])
+        self.assertEqual(_to_key('M'), 'M')
 
     def test_slice_strings(self):
         # XXX: these two examples return different things, do we want that?
@@ -118,8 +118,8 @@ def tearDown(self):
         pass
 
     def test_init(self):
-        sex_tuple = ('H', 'F')
-        sex_list = ['H', 'F']
+        sex_tuple = ('M', 'F')
+        sex_list = ['M', 'F']
         sex_array = np.array(sex_list)
 
         # tuple of strings
@@ -129,18 +129,18 @@ def test_init(self):
         # array of strings
         assert_array_equal(Axis('sex', sex_array).labels, sex_array)
         # single string
-        assert_array_equal(Axis('sex', 'H,F').labels, sex_array)
+        assert_array_equal(Axis('sex', 'M,F').labels, sex_array)
         # list of ints
         assert_array_equal(Axis('age', range(116)).labels, np.arange(116))
         # range-string
         assert_array_equal(Axis('age', '..115').labels, np.arange(116))
 
     def test_equals(self):
-        self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', 'H,F')))
-        self.assertTrue(Axis('sex', 'H,F').equals(Axis('sex', ['H', 'F'])))
-        self.assertFalse(Axis('sex', 'M,F').equals(Axis('sex', 'H,F')))
-        self.assertFalse(Axis('sex1', 'H,F').equals(Axis('sex2', 'H,F')))
-        self.assertFalse(Axis('sex1', 'M,F').equals(Axis('sex2', 'H,F')))
+        self.assertTrue(Axis('sex', 'M,F').equals(Axis('sex', 'M,F')))
+        self.assertTrue(Axis('sex', 'M,F').equals(Axis('sex', ['M', 'F'])))
+        self.assertFalse(Axis('sex', 'M,W').equals(Axis('sex', 'M,F')))
+        self.assertFalse(Axis('sex1', 'M,F').equals(Axis('sex2', 'M,F')))
+        self.assertFalse(Axis('sex1', 'M,W').equals(Axis('sex2', 'M,F')))
 
     def test_group(self):
         age = Axis('age', '..115')
@@ -219,7 +219,7 @@ def test_getitem(self):
         self.assertIs(group.axis, age)
 
     def test_iter(self):
-        sex = Axis('sex', 'H,F')
+        sex = Axis('sex', 'M,F')
         self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
 
     def test_positional(self):
@@ -510,8 +510,8 @@ def test_sub(self):
 class TestAxisCollection(TestCase):
     def setUp(self):
         self.lipro = Axis('lipro', 'P01..P04')
-        self.sex = Axis('sex', 'H,F')
-        self.sex2 = Axis('sex', 'F,H')
+        self.sex = Axis('sex', 'M,F')
+        self.sex2 = Axis('sex', 'F,M')
         self.age = Axis('age', '..7')
         self.geo = Axis('geo', 'A11,A12,A13')
         self.value = Axis('value', '..10')
@@ -522,7 +522,7 @@ def test_init_from_group(self):
         col2 = AxisCollection((lipro_subset, self.sex))
         self.assertEqual(col2.names, ['lipro', 'sex'])
         assert_array_equal(col2.lipro.labels, ['P01', 'P02', 'P03'])
-        assert_array_equal(col2.sex.labels, ['H', 'F'])
+        assert_array_equal(col2.sex.labels, ['M', 'F'])
 
     def test_eq(self):
         col = self.collection
@@ -727,7 +727,7 @@ def test_combine(self):
         self.assertEqual(res.size, col.size)
         self.assertEqual(res.shape, (4 * 2, 8))
         print(res.info)
-        assert_array_equal(res.lipro_sex.labels[0], 'P01_H')
+        assert_array_equal(res.lipro_sex.labels[0], 'P01_M')
         res = col.combine_axes((lipro, age))
         self.assertEqual(res.names, ['lipro_age', 'sex'])
         self.assertEqual(res.size, col.size)
@@ -737,13 +737,13 @@ def test_combine(self):
         self.assertEqual(res.names, ['lipro', 'sex_age'])
         self.assertEqual(res.size, col.size)
         self.assertEqual(res.shape, (4, 2 * 8))
-        assert_array_equal(res.sex_age.labels[0], 'H_0')
+        assert_array_equal(res.sex_age.labels[0], 'M_0')
 
     def test_info(self):
         expected = """\
 4 x 2 x 8
  lipro [4]: 'P01' 'P02' 'P03' 'P04'
- sex [2]: 'H' 'F'
+ sex [2]: 'M' 'F'
  age [8]: 0 1 2 ... 5 6 7"""
         self.assertEqual(self.collection.info, expected)
 
@@ -753,7 +753,7 @@ def test_str(self):
     def test_repr(self):
         self.assertEqual(repr(self.collection), """AxisCollection([
     Axis('lipro', ['P01', 'P02', 'P03', 'P04']),
-    Axis('sex', ['H', 'F']),
+    Axis('sex', ['M', 'F']),
     Axis('age', [0, 1, 2, 3, 4, 5, 6, 7])
 ])""")
 
@@ -763,7 +763,7 @@ def setUp(self):
         self.title = 'test array'
         self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
         self.age = Axis('age', range(116))
-        self.sex = Axis('sex', 'H,F')
+        self.sex = Axis('sex', 'M,F')
 
         vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
               'A43,A44,A45,A46,A71,A72,A73'
@@ -831,7 +831,7 @@ def test_bool(self):
     def test_iter(self):
         array = self.small
         l = list(array)
-        assert_array_equal(l[0], array['H'])
+        assert_array_equal(l[0], array['M'])
         assert_array_equal(l[1], array['F'])
 
     def test_rename(self):
@@ -852,7 +852,7 @@ def test_info(self):
 116 x 44 x 2 x 15
  age [116]: 0 1 2 ... 113 114 115
  geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'
- sex [2]: 'H' 'F'
+ sex [2]: 'M' 'F'
  lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'"""
         self.assertEqual(self.larray.info, expected)
 
@@ -868,30 +868,30 @@ def test_str(self):
         self.assertEqual(str(self.small[sex[[]]]), "LArray([])")
 
         # one dimension
-        self.assertEqual(str(self.small[lipro3, sex['H']]), """\
+        self.assertEqual(str(self.small[lipro3, sex['M']]), """\
 lipro | P01 | P02 | P03
       |   0 |   1 |   2""")
         # two dimensions
         self.assertEqual(str(self.small.filter(lipro=lipro3)), """\
 sex\lipro | P01 | P02 | P03
-        H |   0 |   1 |   2
+        M |   0 |   1 |   2
         F |  15 |  16 |  17""")
         # four dimensions (too many rows)
         self.assertEqual(str(self.larray.filter(lipro=lipro3)), """\
 age | geo | sex\lipro |      P01 |      P02 |      P03
-  0 | A11 |         H |      0.0 |      1.0 |      2.0
+  0 | A11 |         M |      0.0 |      1.0 |      2.0
   0 | A11 |         F |     15.0 |     16.0 |     17.0
-  0 | A12 |         H |     30.0 |     31.0 |     32.0
+  0 | A12 |         M |     30.0 |     31.0 |     32.0
   0 | A12 |         F |     45.0 |     46.0 |     47.0
-  0 | A13 |         H |     60.0 |     61.0 |     62.0
+  0 | A13 |         M |     60.0 |     61.0 |     62.0
 ... | ... |       ... |      ... |      ... |      ...
 115 | A92 |         F | 153045.0 | 153046.0 | 153047.0
-115 | A93 |         H | 153060.0 | 153061.0 | 153062.0
+115 | A93 |         M | 153060.0 | 153061.0 | 153062.0
 115 | A93 |         F | 153075.0 | 153076.0 | 153077.0
-115 | A21 |         H | 153090.0 | 153091.0 | 153092.0
+115 | A21 |         M | 153090.0 | 153091.0 | 153092.0
 115 | A21 |         F | 153105.0 | 153106.0 | 153107.0""")
         # too many columns
-        self.assertEqual(str(self.larray['P01', 'A11', 'H']), """\
+        self.assertEqual(str(self.larray['P01', 'A11', 'M']), """\
 age |   0 |      1 |      2 |      3 |      4 |      5 |      6 |      7 | ... \
 |      107 |      108 |      109 |      110 |      111 |      112 |      113 |\
       114 |      115
@@ -1149,7 +1149,7 @@ def test_getitem_bool_larray_key(self):
         assert_array_equal(res, raw[raw < 5])
 
         # missing dimension
-        res = la[la['H'] % 5 == 0]
+        res = la[la['M'] % 5 == 0]
         self.assertTrue(isinstance(res, LArray))
         self.assertEqual(res.ndim, 2)
         self.assertEqual(res.shape, (116 * 44 * 15 / 5, 2))
@@ -1431,8 +1431,8 @@ def test_setitem_larray(self):
         raw = self.array.copy()
 
         # using 1, 5, 8 and not 9 so that the list is not collapsed to slice
-        value = la[age[1, 5, 8], sex['H']] + 25.0
-        la[age[1, 5, 8], sex['H']] = value
+        value = la[age[1, 5, 8], sex['M']] + 25.0
+        la[age[1, 5, 8], sex['M']] = value
         raw[[1, 5, 8], :, 0] = raw[[1, 5, 8], :, 0] + 25.0
         assert_array_equal(la, raw)
 
@@ -1497,7 +1497,7 @@ def test_setitem_scalar(self):
         # b) full scalar key (ie set one cell)
         la = self.larray.copy()
         raw = self.array.copy()
-        la[0, 'P02', 'A12', 'H'] = 42
+        la[0, 'P02', 'A12', 'M'] = 42
         raw[0, 1, 0, 1] = 42
         assert_array_equal(la, raw)
 
@@ -1533,7 +1533,7 @@ def test_setitem_bool_array_key(self):
         # c) LArray-broadcastable shape (missing axis)
         la = self.larray.copy()
         raw = self.array.copy()
-        key = la[sex['H']] < 5
+        key = la[sex['M']] < 5
         self.assertEqual(key.ndim, 3)
         la[key] = 0
 
@@ -1649,12 +1649,12 @@ def test_filter(self):
                          (3, 44, 2, 2))
 
         # a single value for one dimension => collapse the dimension
-        self.assertEqual(la.filter(sex='H').shape, (116, 44, 15))
+        self.assertEqual(la.filter(sex='M').shape, (116, 44, 15))
 
         # but a list with a single value for one dimension => do not collapse
-        self.assertEqual(la.filter(sex=['H']).shape, (116, 44, 1, 15))
+        self.assertEqual(la.filter(sex=['M']).shape, (116, 44, 1, 15))
 
-        self.assertEqual(la.filter(sex='H,').shape, (116, 44, 1, 15))
+        self.assertEqual(la.filter(sex='M,').shape, (116, 44, 1, 15))
 
         # with duplicate keys
         # XXX: do we want to support this? I don't see any value in that but
@@ -1686,11 +1686,11 @@ def test_filter_multiple_axes(self):
         self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape,
                          (3, 44, 2, 2))
         # with a group of one value
-        self.assertEqual(la.filter(age=[1, 5, 9], sex='H,').shape,
+        self.assertEqual(la.filter(age=[1, 5, 9], sex='M,').shape,
                          (3, 44, 1, 15))
 
         # with a discarded axis (there is a scalar in the key)
-        self.assertEqual(la.filter(age=[1, 5, 9], sex='H').shape, (3, 44, 15))
+        self.assertEqual(la.filter(age=[1, 5, 9], sex='M').shape, (3, 44, 15))
 
         # with a discarded axis that is not adjacent to the ix_array axis
         # ie with a sliced axis between the scalar axis and the ix_array axis
@@ -1699,7 +1699,7 @@ def test_filter_multiple_axes(self):
         # additionally, if the ix_array axis was first (ie ix_array on age),
         # it worked even before the issue was fixed, since the "indexing"
         # subspace is tacked-on to the beginning (as the first dimension)
-        self.assertEqual(la.filter(age=57, sex='H,F').shape,
+        self.assertEqual(la.filter(age=57, sex='M,F').shape,
                          (44, 2, 15))
         self.assertEqual(la.filter(age=57, lipro='P01,P05').shape,
                          (44, 2, 2))
@@ -1737,7 +1737,7 @@ def test_sum_full_axes(self):
 
     def test_sum_full_axes_with_nan(self):
         la = self.larray.copy()
-        la['H', 'P02', 'A12', 0] = np.nan
+        la['M', 'P02', 'A12', 0] = np.nan
         raw = la.data
 
         # everything
@@ -1835,9 +1835,9 @@ def test_group_agg_kwargs(self):
         # a) group aggregate on a fresh array
 
         # a.1) one group => collapse dimension
-        self.assertEqual(la.sum(sex='H').shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex='H,F').shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex=sex['H']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex='M').shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex='M,F').shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex=sex['M']).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(geo='A11,A21,A25').shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=['A11', 'A21', 'A25']).shape, (116, 2, 15))
@@ -1861,10 +1861,10 @@ def test_group_agg_kwargs(self):
         # string groups
         self.assertEqual(la.sum(geo=(vla, wal, bru)).shape, (116, 3, 2, 15))
         # with one label in several groups
-        self.assertEqual(la.sum(sex=(['H'], ['H', 'F'])).shape,
+        self.assertEqual(la.sum(sex=(['M'], ['M', 'F'])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum(sex=('H', 'H,F')).shape, (116, 44, 2, 15))
-        self.assertEqual(la.sum(sex='H;H,F').shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum(sex=('M', 'M,F')).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum(sex='M;M,F').shape, (116, 44, 2, 15))
 
         aggregated = la.sum(geo=(vla, wal, bru, belgium))
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
@@ -1895,9 +1895,9 @@ def test_group_agg_guess_axis(self):
 
         # a.1) one group => collapse dimension
         # not sure I should support groups with a single item in an aggregate
-        self.assertEqual(la.sum('H').shape, (116, 44, 15))
-        self.assertEqual(la.sum('H,').shape, (116, 44, 15))
-        self.assertEqual(la.sum('H,F').shape, (116, 44, 15))
+        self.assertEqual(la.sum('M').shape, (116, 44, 15))
+        self.assertEqual(la.sum('M,').shape, (116, 44, 15))
+        self.assertEqual(la.sum('M,F').shape, (116, 44, 15))
 
         self.assertEqual(la.sum('A11,A21,A25').shape, (116, 2, 15))
         # with a name
@@ -1925,21 +1925,21 @@ def test_group_agg_guess_axis(self):
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((['H'], ['H', 'F'])).shape,
+        self.assertEqual(la.sum((['M'], ['M', 'F'])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum(('H', 'H,F')).shape, (116, 44, 2, 15))
-        self.assertEqual(la.sum('H;H,F').shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum(('M', 'M,F')).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum('M;M,F').shape, (116, 44, 2, 15))
         # with group names
-        res = la.sum('H >> men;H,F >> all')
+        res = la.sum('M >> men;M,F >> all')
         self.assertEqual(res.shape, (116, 44, 2, 15))
         self.assertTrue('sex' in res.axes)
-        men = sex['H'].named('men')
-        all_ = sex['H,F'].named('all')
+        men = sex['M'].named('men')
+        all_ = sex['M,F'].named('all')
         assert_array_equal(res.axes.sex.labels, ['men', 'all'])
         assert_array_equal(res['men'], raw[:, :, 0, :])
         assert_array_equal(res['all'], raw.sum(2))
 
-        res = la.sum(('H >> men', 'H,F >> all'))
+        res = la.sum(('M >> men', 'M,F >> all'))
         self.assertEqual(res.shape, (116, 44, 2, 15))
         self.assertTrue('sex' in res.axes)
         assert_array_equal(res.axes.sex.labels, ['men', 'all'])
@@ -1976,9 +1976,9 @@ def test_group_agg_label_group(self):
         # not sure I should support groups with a single item in an aggregate
         men = sex.i[[0]]
         self.assertEqual(la.sum(men).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H,']).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H,F']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M,']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M,F']).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
@@ -2011,13 +2011,13 @@ def test_group_agg_label_group(self):
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((sex['H'], sex[['H', 'F']])).shape,
+        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['H'], sex['H', 'F'])).shape,
+        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['H'], sex['H,F'])).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex['M,F'])).shape, (116, 44, 2, 15))
         # XXX: do we want to support this?
-        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+        # self.assertEqual(la.sum(sex['M;H,F']).shape, (116, 44, 2, 15))
 
         aggregated = la.sum((vla, wal, bru, belgium))
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
@@ -2051,9 +2051,9 @@ def test_group_agg_label_group_no_axis(self):
 
         # a.1) one group => collapse dimension
         # not sure I should support groups with a single item in an aggregate
-        self.assertEqual(la.sum(LGroup('H')).shape, (116, 44, 15))
-        self.assertEqual(la.sum(LGroup('H,')).shape, (116, 44, 15))
-        self.assertEqual(la.sum(LGroup('H,F')).shape, (116, 44, 15))
+        self.assertEqual(la.sum(LGroup('M')).shape, (116, 44, 15))
+        self.assertEqual(la.sum(LGroup('M,')).shape, (116, 44, 15))
+        self.assertEqual(la.sum(LGroup('M,F')).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(LGroup('A11,A21,A25')).shape, (116, 2, 15))
         self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape, 
@@ -2076,12 +2076,12 @@ def test_group_agg_label_group_no_axis(self):
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((LGroup('H'), LGroup(['H', 'F']))).shape,
+        self.assertEqual(la.sum((LGroup('M'), LGroup(['M', 'F']))).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum((LGroup('H'), LGroup('H,F'))).shape,
+        self.assertEqual(la.sum((LGroup('M'), LGroup('M,F'))).shape,
                          (116, 44, 2, 15))
         # XXX: do we want to support this?
-        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+        # self.assertEqual(la.sum(sex['M;M,F']).shape, (116, 44, 2, 15))
 
         aggregated = la.sum((vla, wal, bru, belgium))
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
@@ -2116,9 +2116,9 @@ def test_group_agg_axis_ref_label_group(self):
         # not sure I should support groups with a single item in an aggregate
         men = sex.i[[0]]
         self.assertEqual(la.sum(men).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H,']).shape, (116, 44, 15))
-        self.assertEqual(la.sum(sex['H,F']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M,']).shape, (116, 44, 15))
+        self.assertEqual(la.sum(sex['M,F']).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
@@ -2151,13 +2151,13 @@ def test_group_agg_axis_ref_label_group(self):
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((sex['H'], sex[['H', 'F']])).shape,
+        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['H'], sex['H', 'F'])).shape,
+        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape,
                          (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['H'], sex['H,F'])).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex['M,F'])).shape, (116, 44, 2, 15))
         # XXX: do we want to support this?
-        # self.assertEqual(la.sum(sex['H;H,F']).shape, (116, 44, 2, 15))
+        # self.assertEqual(la.sum(sex['M;M,F']).shape, (116, 44, 2, 15))
 
         aggregated = la.sum((vla, wal, bru, belgium))
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
@@ -2405,8 +2405,8 @@ def test_filter_on_group_agg(self):
     #     # a) one group aggregate (on a fresh array)
     #
     #     # one group => collapse dimension
-    #     self.assertEqual(la.sum(sex['H']).shape, (116, 44, 15))
-    #     self.assertEqual(la.sum(sex['H,F']).shape, (116, 44, 15))
+    #     self.assertEqual(la.sum(sex['M']).shape, (116, 44, 15))
+    #     self.assertEqual(la.sum(sex['M,F']).shape, (116, 44, 15))
     #     self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
 
     #     # several groups
@@ -2526,12 +2526,12 @@ def test_agg_by(self):
         assert_array_equal(res, la.sum(age, sex, lipro, geo=(vla, wal, bru)))
 
         # with one label in several groups
-        self.assertEqual(la.sum_by(sex=(['H'], ['H', 'F'])).shape, (2,))
-        self.assertEqual(la.sum_by(sex=('H', 'H,F')).shape, (2,))
+        self.assertEqual(la.sum_by(sex=(['M'], ['M', 'F'])).shape, (2,))
+        self.assertEqual(la.sum_by(sex=('M', 'M,F')).shape, (2,))
 
-        res = la.sum_by(sex='H;H,F')
+        res = la.sum_by(sex='M;M,F')
         self.assertEqual(res.shape, (2,))
-        assert_array_equal(res, la.sum(age, geo, lipro, sex='H;H,F'))
+        assert_array_equal(res, la.sum(age, geo, lipro, sex='M;M,F'))
 
         # a.4) several dimensions at the same time
         res = la.sum_by(geo=(vla, wal, bru, belgium), lipro='P01,P03;P02,P05;:')
@@ -3048,13 +3048,13 @@ def test_df_aslarray(self):
               ('2007', int), ('2010', int), ('2013', int)]
         data = np.array([
             (0, 'F', 3722, 3395, 3347),
-            (0, 'H', 338, 316, 323),
+            (0, 'M', 338, 316, 323),
             (1, 'F', 2878, 2791, 2822),
-            (1, 'H', 1121, 1037, 976),
+            (1, 'M', 1121, 1037, 976),
             (2, 'F', 4073, 4161, 4429),
-            (2, 'H', 1561, 1463, 1467),
+            (2, 'M', 1561, 1463, 1467),
             (3, 'F', 3507, 3741, 3366),
-            (3, 'H', 2052, 2052, 2118),
+            (3, 'M', 2052, 2052, 2118),
         ], dtype=dt)
         df = pd.DataFrame(data)
         df.set_index(['age', 'sex'], inplace=True)
@@ -3578,7 +3578,7 @@ def test_broadcast_with(self):
 
     def test_plot(self):
         pass
-        #small_h = small['H']
+        # small_h = small['M']
         #small_h.plot(kind='bar')
         #small_h.plot()
         #small_h.hist()
diff --git a/larray/viewer.py b/larray/viewer.py
index 270917960..32e0ef2e0 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2497,7 +2497,7 @@ def get_title(obj, depth=0, maxnames=3):
     """
     names = find_names(obj, depth=depth + 1)
     # names can be == []
-    # eg. view(arr['H'])
+    # eg. view(arr['M'])
     if len(names) > maxnames:
         names = names[:maxnames] + ['...']
     return ', '.join(names)
@@ -2605,7 +2605,7 @@ def restore_display_hook():
 
     lipro = la.Axis('lipro', ['P%02d' % i for i in range(1, 16)])
     age = la.Axis('age', range(116))
-    sex = la.Axis('sex', 'H,F')
+    sex = la.Axis('sex', 'M,F')
 
     vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
           'A43,A44,A45,A46,A71,A72,A73'

From 47062f5647e7e0561fbfbb5c34989237cf0f7a9a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 17:27:50 +0100
Subject: [PATCH 364/899] added stub release notes for 0.20.1

---
 doc/source/changes/version_0_20_1.rst.inc | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 doc/source/changes/version_0_20_1.rst.inc

diff --git a/doc/source/changes/version_0_20_1.rst.inc b/doc/source/changes/version_0_20_1.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_20_1.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file

From 45925e5e35ac73f909734851c3793656f2952c22 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 9 Feb 2017 17:34:25 +0100
Subject: [PATCH 365/899] viewer: allow changing the number of displayed digits
 even for integer arrays as that makes sense when using scientific notation
 (closes :issue:`100`).

---
 doc/source/changes/version_0_20_1.rst.inc | 3 ++-
 larray/viewer.py                          | 2 +-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_20_1.rst.inc b/doc/source/changes/version_0_20_1.rst.inc
index 40d5a3454..abf22c3a3 100644
--- a/doc/source/changes/version_0_20_1.rst.inc
+++ b/doc/source/changes/version_0_20_1.rst.inc
@@ -15,4 +15,5 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* viewer: allow changing the number of displayed digits even for integer arrays as that makes sense when using
+  scientific notation (closes :issue:`100`).
diff --git a/larray/viewer.py b/larray/viewer.py
index 32e0ef2e0..1da06c5b9 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1394,7 +1394,7 @@ def _set_raw_data(self, data, xlabels, ylabels, changes=None,
                             bg_gradient=bg_gradient, bg_value=bg_value)
 
         self.digits_spinbox.setValue(self.digits)
-        self.digits_spinbox.setEnabled(is_float(data.dtype))
+        self.digits_spinbox.setEnabled(is_number(data.dtype))
 
         self.scientific_checkbox.setChecked(use_scientific)
         self.scientific_checkbox.setEnabled(is_number(data.dtype))

From 6dba03fab60b3ffa4f90e9bfb798cc3046be99ac Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 13 Feb 2017 14:48:22 +0100
Subject: [PATCH 366/899] Add install instructions in doc (issue #101) (#104)

* fix #101 : Add install.rst file with instructions to install and description of all dependencies
---
 README.rst             | 115 ++++++++++++++++++++++++++++++++++++++++-
 doc/source/index.rst   |   1 +
 doc/source/install.rst |   2 +
 3 files changed, 117 insertions(+), 1 deletion(-)
 create mode 100644 doc/source/install.rst

diff --git a/README.rst b/README.rst
index d644ef6ad..0f9648ffa 100644
--- a/README.rst
+++ b/README.rst
@@ -1,7 +1,120 @@
-larray
+LArray
 ======
 
 larray provides a Labelled Array class
 
 .. image:: https://travis-ci.org/liam2/larray.svg?branch=master
     :target: https://travis-ci.org/liam2/larray
+
+
+.. start-install
+
+Installation
+============
+
+Pre-built binaries
+------------------
+
+The easiest route to installing larray is through
+`Conda <http://conda.pydata.org/miniconda.html>`_.
+For all platforms installing larray can be done with::
+
+    conda install -c gdementen larray
+
+This will install a lightweight version of larray
+depending only on Numpy and Pandas libraries only.
+Additional libraries are required to use the included
+graphical user interface, make plots or use special
+I/O functions for easy dump/load from Excel or
+HDF files. Optional dependencies are described
+below.
+
+Installing larray with all optional dependencies
+can be done with ::
+
+    conda install -c gdementen larrayenv
+
+You can also first add the channel `gdementen` to
+your channel list ::
+
+    conda config --add channels gdementen
+
+and then install larray (or larrayenv) as ::
+
+    conda install larray
+
+
+Building from source
+--------------------
+
+The latest release of LArray is available from
+https://github.com/liam2/larray.git
+
+Once you have satisfied the requirements detailed below, simply run::
+
+    python setup.py install
+
+
+Required Dependencies
+---------------------
+
+- Python 2.7, 3.4, 3.5, or 3.6
+- `numpy <http://www.numpy.org/>`__ (1.10.0 or later)
+- `pandas <http://pandas.pydata.org/>`__ (0.13.1 or later)
+
+
+Optional Dependencies
+---------------------
+
+For IO (HDF, Excel)
+~~~~~~~~~~~~~~~~~~~
+
+- `pytables <http://www.pytables.org/>`__:
+  for working with files in HDF5 format.
+- `xlrd <http://www.python-excel.org/>`__:
+  for reading data and formatting information from older Excel files (ie: .xls)
+- `openpyxl <http://www.python-excel.org/>`__:
+  recommended package for reading and writing
+  Excel 2010 files (ie: .xlsx)
+- `xlsxwriter <http://www.python-excel.org/>`__:
+  alternative package for writing data, formatting
+  information and, in particular, charts in the
+  Excel 2010 format (ie: .xlsx)
+
+For Graphical User Interface
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+LArray includes a graphical user interface to
+view and edit arrays.
+
+- `pyqt <https://riverbankcomputing.com/software/pyqt/intro>`__ (4 or 5):
+  for using the graphical user interface included in larray.
+- `pyside <https://wiki.qt.io/PySide>`__:
+  alternative to PyQt.
+- `qtpy <https://github.com/spyder-ide/qtpy>`__:
+  required if you install pyqt or pyside.
+  Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout
+
+For plotting
+~~~~~~~~~~~~
+
+- `matplotlib <http://matplotlib.org/>`__:
+  required for plotting.
+
+
+Update
+======
+
+If larray has been installed through conda, update
+is done via ::
+
+    conda update larray
+
+Be careful if you have installed optional dependencies.
+In that case, you may have to update some of them.
+
+If larray has been installed through larrayenv,
+you simply must do ::
+
+    conda update larrayenv
+
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 5ce760152..3ac28daac 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -7,6 +7,7 @@ Contents:
    :maxdepth: 2
 
    intro
+   install
    api
 
 Indices and tables
diff --git a/doc/source/install.rst b/doc/source/install.rst
new file mode 100644
index 000000000..fb67d459f
--- /dev/null
+++ b/doc/source/install.rst
@@ -0,0 +1,2 @@
+.. include:: ../../README.rst
+   :start-after: start-install

From f271a2c9ccfbab8c3f9ebb0f1a307af0e9a47a8d Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 15 Feb 2017 12:57:21 +0100
Subject: [PATCH 367/899] fix #106 : add regex option in split_axis method
 (#118)

added regex option in split_axis method (closes #106)
---
 larray/core.py          | 62 +++++++++++++++++++++++++++++++----------
 larray/tests/test_la.py | 15 ++++++++--
 2 files changed, 59 insertions(+), 18 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 1c72de6b2..64d7bd313 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3166,19 +3166,24 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         new_axes.insert(combined_axis_pos, combined_axis)
         return new_axes
 
-    def split_axis(self, axis, sep='_', names=None):
+    def split_axis(self, axis, sep='_', names=None, regex=None):
         """Split one axis and returns a new collection
 
         Parameters
         ----------
         axis : int, str or Axis
-            axis to split. All its labels *must* contain the given delimiter
-            string.
+            axis to split. All its labels *must* contain
+            the given delimiter string.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'.
-        names : list of names, optional
-            names of resulting axes. Defaults to split the combined axis name
-            using the given delimiter string.
+            When `regex` is provided, the delimiter is only used
+            on `names` if given as one string or on axis name if
+            `names` is None.
+        names : str or list of str, optional
+            names of resulting axes. Defaults to None.
+        regex : str, optional
+            use regex instead of delimiter to split labels.
+            Defaults to None.
 
         Returns
         -------
@@ -3192,10 +3197,21 @@ def split_axis(self, axis, sep='_', names=None):
                                  .format(sep, axis.name))
             else:
                 names = axis.name.split(sep)
+        elif isinstance(names, str):
+            if sep not in names:
+                raise ValueError('{} not found in names ({})'
+                                 .format(sep, names))
+            else:
+                names = names.split(sep)
         else:
             assert all(isinstance(name, str) for name in names)
-        # gives us an array of lists
-        split_labels = np.char.split(axis.labels, sep)
+
+        if not regex:
+            # gives us an array of lists
+            split_labels = np.char.split(axis.labels, sep)
+        else:
+            rx = re.compile(regex)
+            split_labels = [rx.match(l).groups() for l in axis.labels]
         # not using np.unique because we want to keep the original order
         axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
         split_axes = [Axis(name, axis_labels)
@@ -8748,19 +8764,24 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
         return transposed.reshape(new_axes)
 
-    def split_axis(self, axis, sep='_', names=None):
+    def split_axis(self, axis, sep='_', names=None, regex=None):
         """Split one axis and returns a new array
 
         Parameters
         ----------
         axis : int, str or Axis
-            axis to split. All its labels *must* contain the given delimiter
-            string.
+            axis to split. All its labels *must* contain
+            the given delimiter string.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'.
-        names : list of names, optional
-            names of resulting axes. Defaults to split the combined axis name
-            using the given delimiter string.
+            When `regex` is provided, the delimiter is only used
+            on `names` if given as one string or on axis name if
+            `names` is None.
+        names : str or list of str, optional
+            names of resulting axes. Defaults to None.
+        regex : str, optional
+            use regex instead of delimiter to split labels.
+            Defaults to None.
 
         Returns
         -------
@@ -8778,11 +8799,22 @@ def split_axis(self, axis, sep='_', names=None):
         a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
             |     0 |     1 |     2 |     3 |     4 |     5
         >>> combined.split_axis(x.a_b)
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+
+        Split labels using regex
+
+        >>> combined = ndrange('a_b = a0b0..a1b2')
+        >>> combined
+        a_b | a0b0 | a0b1 | a0b2 | a1b0 | a1b1 | a1b2
+            |    0 |    1 |    2 |    3 |    4 |    5
+        >>> combined.split_axis(x.a_b, regex='(\w{2})(\w{2})')
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
          a1 |  3 |  4 |  5
         """
-        return self.reshape(self.axes.split_axis(axis, sep, names))
+        return self.reshape(self.axes.split_axis(axis, sep, names, regex))
 
 
 def parse(s):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index f8fbf3bac..4bd3538e5 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3616,9 +3616,18 @@ def test_combine_axes(self):
 
     def test_split_axis(self):
         arr = ndtest((2, 3, 4, 5))
-        res = arr.combine_axes((x.b, x.d))
-        self.assertEqual(res.axes.names, ['a', 'b_d', 'c'])
-        res = res.split_axis('b_d')
+        comb = arr.combine_axes((x.b, x.d))
+        self.assertEqual(comb.axes.names, ['a', 'b_d', 'c'])
+        # default delimiter '_'
+        res = comb.split_axis('b_d')
+        self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
+        self.assertEqual(res.size, arr.size)
+        self.assertEqual(res.shape, (2, 3, 5, 4))
+        assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
+        # regex
+        names = ['b', 'd']
+        regex = '(\w+)_(\w+)'
+        res = comb.split_axis('b_d', names=names, regex=regex)
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))

From 73e46a2ff13aaa726e55af2a6e5d0949d1d7d1a7 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 16 Feb 2017 12:13:17 +0100
Subject: [PATCH 368/899] fix #67 : add replace_axes method to LArray class.
 (#111)

implemented LArray.replace_axes (closes #67) and mark with_axes as deprecated

also update rename implementation for Python 2.7 compatibility
---
 larray/core.py          | 93 ++++++++++++++++++++++++++++++++++-------
 larray/tests/test_la.py | 29 +++++++++----
 2 files changed, 99 insertions(+), 23 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 64d7bd313..e7b261090 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3900,22 +3900,34 @@ def nonzero(self):
         #  can do a[a.nonzero()]
         return self.data.nonzero()
 
-    def with_axes(self, axes):
+    def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
         """
-        Returns a LArray with same data but new axes.
-        The number and length of axes must match
-        dimensions and shape of data array.
+        Returns an array with one or several axes replaced.
 
         Parameters
         ----------
-        axes : collection (tuple, list or AxisCollection) of axes \
-        (int, str or  Axis), optional
-            New axes.
+        axes_to_replace : axis ref or dict {axis ref: axis} or
+                  list of tuple (axis ref, axis) or list of Axis
+            Axes to replace. If a single axis reference is given,
+            the `new_axes` argument must be used. If a list of
+            Axis is given, all axes will be replaced by the
+            new ones. In that case, the number of new axes must
+            match the number of the old ones.
+        new_axis : Axis
+            New axis if `axes_to_replace`
+            contains a single axis reference.
+        **kwargs : Axis
+            New axis for each axis to replace given
+            as a keyword argument.
 
         Returns
         -------
         LArray
-            Array with same data but new axes.
+            Array with some axes replaced.
+
+        See Also
+        --------
+        rename : rename one of several axes
 
         Examples
         --------
@@ -3926,12 +3938,53 @@ def with_axes(self, axes):
          a1 |  3 |  4 |  5
         >>> row = Axis('row', ['r0', 'r1'])
         >>> column = Axis('column', ['c0', 'c1', 'c2'])
-        >>> arr.with_axes([row, column])
+        >>> arr.replace_axes(x.a, row)
+        row\\b | b0 | b1 | b2
+           r0 |  0 |  1 |  2
+           r1 |  3 |  4 |  5
+        >>> arr.replace_axes([row, column])
+        row\\column | c0 | c1 | c2
+                r0 |  0 |  1 |  2
+                r1 |  3 |  4 |  5
+        >>> arr.replace_axes(a=row, b=column)
+        row\\column | c0 | c1 | c2
+                r0 |  0 |  1 |  2
+                r1 |  3 |  4 |  5
+        >>> arr.replace_axes([(x.a, row), (x.b, column)])
+        row\\column | c0 | c1 | c2
+                r0 |  0 |  1 |  2
+                r1 |  3 |  4 |  5
+        >>> arr.replace_axes({x.a: row, x.b: column})
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         """
-        return LArray(self.data, axes, self.title)
+        if isinstance(axes_to_replace, list) and \
+                all([isinstance(axis, Axis) for axis in axes_to_replace]):
+            if len(axes_to_replace) != len(self.axes):
+                raise ValueError('{} axes given as argument, expected '
+                                 '{}'.format(len(axes_to_replace), len(self.axes)))
+            axes = axes_to_replace
+        else:
+            axes = self.axes.copy()
+            if isinstance(axes_to_replace, dict):
+                items = list(axes_to_replace.items())
+            elif isinstance(axes_to_replace, list):
+                items = axes_to_replace[:]
+            elif isinstance(axes_to_replace, (str, Axis, int)):
+                items = [(axes_to_replace, new_axis)]
+            else:
+                items = []
+            items += kwargs.items()
+            for old, new in items:
+                axes = axes.replace(old, new)
+        return LArray(self.data, axes, title=self.title)
+
+    def with_axes(self, axes):
+        warnings.warn("LArray.with_axes is deprecated, "
+                      "use LArray.replace_axes instead",
+                      DeprecationWarning)
+        return self.replace_axes(axes)
 
     def __getattr__(self, key):
         try:
@@ -4182,10 +4235,10 @@ def rename(self, renames=None, to=None, **kwargs):
         ----------
         renames : axis ref or dict {axis ref: str} or
                   list of tuple (axis ref, str)
-            Renames to apply. If a single axis reference is given, the "to"
-            argument must be used.
+            Renames to apply. If a single axis reference
+            is given, the `to` argument must be used.
         to : str or Axis
-            New name if renames contains a single axis reference
+            New name if `renames` contains a single axis reference
         **kwargs : str
             New name for each axis given as a keyword argument.
 
@@ -4194,6 +4247,10 @@ def rename(self, renames=None, to=None, **kwargs):
         LArray
             Array with some axes renamed.
 
+        See Also
+        --------
+        replace_axes : replace one or several axes
+
         Examples
         --------
         >>> nat = Axis('nat', ['BE', 'FO'])
@@ -4211,7 +4268,11 @@ def rename(self, renames=None, to=None, **kwargs):
         nat2\\sex2 | M | F
                BE | 0 | 1
                FO | 2 | 3
-        >>> arr.rename({'nat': 'nat2', 'sex' : 'sex2'})
+        >>> arr.rename([('nat', 'nat2'), ('sex', 'sex2')])
+        nat2\\sex2 | M | F
+               BE | 0 | 1
+               FO | 2 | 3
+        >>> arr.rename({'nat': 'nat2', 'sex': 'sex2'})
         nat2\\sex2 | M | F
                BE | 0 | 1
                FO | 2 | 3
@@ -4219,7 +4280,7 @@ def rename(self, renames=None, to=None, **kwargs):
         if isinstance(renames, dict):
             items = list(renames.items())
         elif isinstance(renames, list):
-            items = renames.copy()
+            items = renames[:]
         elif isinstance(renames, (str, Axis, int)):
             items = [(renames, to)]
         else:
@@ -9834,7 +9895,7 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
                     for length in a.shape]
     new_axes = [Axis(name, [name + str(i) for i in label_range])
                 for name, label_range in zip(axes_names, label_ranges)]
-    return a.with_axes(new_axes)
+    return LArray(a.data, new_axes)
 
 
 def kth_diag_indices(shape, k):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 4bd3538e5..71c578d40 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2840,19 +2840,34 @@ def test_mean(self):
         sex, lipro = la.axes
         assert_array_equal(la.mean(lipro), raw.mean(1))
 
-    def test_with_axes(self):
-        lipro2 = self.lipro.rename('lipro2').labels = \
-            [l.replace('P', 'Q') for l in self.lipro.labels]
-        sex2 = self.age.rename('sex2').labels = ['Man', 'Woman']
+    def test_replace_axes(self):
+        lipro2 = Axis('lipro2', [l.replace('P', 'Q') for l in self.lipro.labels])
+        sex2 = Axis('sex2', ['Man', 'Woman'])
 
-        la = LArray(self.small_data, axes=(sex2, lipro2),
+        la = LArray(self.small_data, axes=(self.sex, lipro2),
                     title=self.small_title)
-        la2 = self.small.with_axes((sex2, lipro2))
+        # replace one axis
+        la2 = self.small.replace_axes(x.lipro, lipro2)
         assert_array_equal(la, la2)
         self.assertEqual(la.title, la2.title, "title of array returned by "
-                                              "with_axes should be the same as the original one. "
+                                              "replace_axes should be the same as the original one. "
                                               "We got '{}' instead of '{}'".format(la2.title, la.title))
 
+        la = LArray(self.small_data, axes=(sex2, lipro2),
+                    title=self.small_title)
+        # all at once
+        la2 = self.small.replace_axes([sex2, lipro2])
+        assert_array_equal(la, la2)
+        # using keywrods args
+        la2 = self.small.replace_axes(sex=sex2, lipro=lipro2)
+        assert_array_equal(la, la2)
+        # using dict
+        la2 = self.small.replace_axes({x.sex: sex2, x.lipro: lipro2})
+        assert_array_equal(la, la2)
+        # using list of pairs (axis_to_replace, new_axis)
+        la2 = self.small.replace_axes([(x.sex, sex2), (x.lipro, lipro2)])
+        assert_array_equal(la, la2)
+
     def test_append(self):
         la = self.small
         sex, lipro = la.axes

From 99e8bf2ef372931005dd519f105326416d5d47af Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 16 Feb 2017 14:26:17 +0100
Subject: [PATCH 369/899] fix #122 : update __matmul__ implementation (matrices
 with dim != 2) (#124)

update @ implementation so as to handle matrices with ndim != 2 (closes #122)
---
 larray/core.py          | 93 ++++++++++++++++++++++++++++++++++-------
 larray/tests/test_la.py | 25 +++++++----
 2 files changed, 94 insertions(+), 24 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index e7b261090..24d06647c 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7728,26 +7728,87 @@ def opmethod(self, other):
     __ror__ = _binop('ror')
 
     def __matmul__(self, other):
+        """
+        Overrides operator @ for matrix multiplication.
+
+        Notes
+        -----
+        Only available with Python >= 3.5
+
+        Examples
+        --------
+        >>> arr1d = ndtest(3)
+        >>> arr1d
+        a | a0 | a1 | a2
+          |  0 |  1 |  2
+        >>> arr2d = ndtest((3, 3))
+        >>> arr2d
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |  5
+         a2 |  6 |  7 |  8
+        >>> arr1d @ arr1d # doctest: +SKIP
+        5
+        >>> arr1d @ arr2d # doctest: +SKIP
+        b | b0 | b1 | b2
+          | 15 | 18 | 21
+        >>> arr2d @ arr1d # doctest: +SKIP
+        a | a0 | a1 | a2
+          |  5 | 14 | 23
+        >>> arr3d = ndrange('c=c0..c2;d=d0..d2;e=e0..e2')
+        >>> arr1d @ arr3d # doctest: +SKIP
+        c\\e | e0 | e1 | e2
+         c0 | 15 | 18 | 21
+         c1 | 42 | 45 | 48
+         c2 | 69 | 72 | 75
+        >>> arr3d @ arr1d # doctest: +SKIP
+        c\\d | d0 | d1 | d2
+         c0 |  5 | 14 | 23
+         c1 | 32 | 41 | 50
+         c2 | 59 | 68 | 77
+        >>> arr3d @ arr3d # doctest: +SKIP
+         c | d\\e |   e0 |   e1 |   e2
+        c0 |  d0 |   15 |   18 |   21
+        c0 |  d1 |   42 |   54 |   66
+        c0 |  d2 |   69 |   90 |  111
+        c1 |  d0 |  366 |  396 |  426
+        c1 |  d1 |  474 |  513 |  552
+        c1 |  d2 |  582 |  630 |  678
+        c2 |  d0 | 1203 | 1260 | 1317
+        c2 |  d1 | 1392 | 1458 | 1524
+        c2 |  d2 | 1581 | 1656 | 1731
+        """
+        current = self[:]
         if not isinstance(other, (LArray, np.ndarray)):
             raise NotImplementedError("matrix multiplication not "
                                       "implemented for %s" % type(other))
+        if isinstance(other, np.ndarray):
+            other = LArray(other)
 
-        # TODO: implement for matrices of any dimensions
-        if self.ndim != 2 or other.ndim != 2:
-            raise NotImplementedError("matrix multiplication not "
-                                      "implemented for ndim != 2 (%d @ %d)"
-                                      % (self.ndim, other.ndim))
-        # 4,2 @ 2,3 = 4,3
-        res_axes = [get_axis(self, 0), get_axis(other, 1)]
-        # TODO: implement AxisCollection.__init__(copy_duplicates=True)
-        if res_axes[1] is res_axes[0]:
-            res_axes[1] = res_axes[1].copy()
-        # XXX: check that other axes are compatible?
-        # other_axes = [get_axis(self, 1), get_axis(other, 0)]
-        # if not other_axes[0].iscompatible(other_axes[1]):
-        #     raise ValueError("%s is not compatible with %s"
-        #                      % (other_axes[0], other_axes[1]))
-        return LArray(self.data.__matmul__(other.data), res_axes)
+        combined_axes = self.axes[:-2] + other.axes[:-2]
+        if self.ndim > 2 and other.ndim > 2:
+            current = current.expand(combined_axes).transpose(combined_axes)
+            other = other.expand(combined_axes).transpose(combined_axes)
+
+        # XXX : What doc of Numpy matmul says:
+        # The behavior depends on the arguments in the following way:
+        # * If both arguments are 2-D they are multiplied like conventional matrices.
+        # * If either argument is N-D, N > 2, it is treated as a stack of matrices
+        #   residing in the last two indexes and broadcast accordingly.
+        # * If the first argument is 1-D, it is promoted to a matrix by
+        #   prepending a 1 to its dimensions. After matrix multiplication
+        #   the prepended 1 is removed.
+        # * If the second argument is 1-D, it is promoted to a matrix by
+        #   appending a 1 to its dimensions. After matrix multiplication
+        #   the appended 1 is removed.
+        res_data = current.data.__matmul__(other.data)
+
+        res_axes = list(combined_axes)
+        if self.ndim > 1:
+            res_axes += [self.axes[-2]]
+        if other.ndim > 1:
+            res_axes += [other.axes[-1]]
+        return LArray(res_data, res_axes)
 
     def __rmatmul__(self, other):
         if isinstance(other, np.ndarray):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 71c578d40..a64201cba 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3556,21 +3556,30 @@ def test_diag(self):
 
     # cannot use @ in the tests because that is an invalid syntax in Python 2
     def test_matmul(self):
-        a1 = eye(3) * 2
-        a2 = ndrange((3, 3))
-        # FIXME: this will break for python 3.10 and later
-        if sys.version >= '3.5':
+        arr1d = ndtest(3)
+        arr2d = ndtest((3, 3))
+
+        if sys.version_info >= (3, 5):
             # LArray value
-            assert_array_equal(a1.__matmul__(a2), ndrange((3, 3)) * 2)
+            self.assertEqual(arr1d.__matmul__(arr1d), 5)
+            assert_array_equal(arr1d.__matmul__(arr2d),
+                               LArray([15, 18, 21], 'b=b0..b2'))
+            assert_array_equal(arr2d.__matmul__(arr1d),
+                               LArray([5, 14, 23], 'a=a0..a2'))
+            res = LArray([[15, 18, 21], [42, 54, 66], [69, 90, 111]],
+                         'a=a0..a2;b=b0..b2')
+            assert_array_equal(arr2d.__matmul__(arr2d), res)
 
             # ndarray value
-            assert_array_equal(a1.__matmul__(a2.data), ndrange((3, 3)) * 2)
+            assert_array_equal(arr1d.__matmul__(arr2d.data),
+                               LArray([15, 18, 21]))
+            assert_array_equal(arr2d.data.__matmul__(arr2d.data),
+                               LArray(res.data))
 
     def test_rmatmul(self):
         a1 = eye(3) * 2
         a2 = ndrange((3, 3))
-        # FIXME: this will break for python 3.10 and later
-        if sys.version >= '3.5':
+        if sys.version_info >= (3, 5):
             # equivalent to a1.data @ a2
             res = a2.__rmatmul__(a1.data)
             self.assertIsInstance(res, LArray)

From 8cfb368954a7f7cac9890aa32d286a9e204af58b Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 20 Feb 2017 11:31:36 +0100
Subject: [PATCH 370/899] Fix #125 : override matmul for arrays with dim > 2 
 (#129)

better unit tests for matmul and fixed arr @ arr.T (fixes #125)
---
 larray/core.py          |   8 +-
 larray/tests/test_la.py | 180 +++++++++++++++++++++++++++++++++++-----
 2 files changed, 162 insertions(+), 26 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 24d06647c..55832422d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7779,13 +7779,15 @@ def __matmul__(self, other):
         c2 |  d2 | 1581 | 1656 | 1731
         """
         current = self[:]
+        axes = self.axes
         if not isinstance(other, (LArray, np.ndarray)):
             raise NotImplementedError("matrix multiplication not "
                                       "implemented for %s" % type(other))
         if isinstance(other, np.ndarray):
             other = LArray(other)
+        other_axes = other.axes
 
-        combined_axes = self.axes[:-2] + other.axes[:-2]
+        combined_axes = axes[:-2] + other_axes[:-2]
         if self.ndim > 2 and other.ndim > 2:
             current = current.expand(combined_axes).transpose(combined_axes)
             other = other.expand(combined_axes).transpose(combined_axes)
@@ -7805,9 +7807,9 @@ def __matmul__(self, other):
 
         res_axes = list(combined_axes)
         if self.ndim > 1:
-            res_axes += [self.axes[-2]]
+            res_axes += [axes[-2]]
         if other.ndim > 1:
-            res_axes += [other.axes[-1]]
+            res_axes += [other_axes[-1].copy()]
         return LArray(res_data, res_axes)
 
     def __rmatmul__(self, other):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index a64201cba..882d9cdf7 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3554,36 +3554,170 @@ def test_diag(self):
         self.assertEqual(d.i[0], 1.0)
         self.assertEqual(d.i[1], 1.0)
 
-    # cannot use @ in the tests because that is an invalid syntax in Python 2
+    @unittest.skipIf(sys.version_info < (3, 5), "@ unavailable (Python < 3.5)")
     def test_matmul(self):
+        # 2D / anonymous axes
+        a1 = eye(3) * 2
+        a2 = ndrange((3, 3))
+        # cannot use @ in the tests because that is an invalid syntax in Python 2
+        # LArray value
+        assert_array_equal(a1.__matmul__(a2), ndrange((3, 3)) * 2)
+
+        # ndarray value
+        assert_array_equal(a1.__matmul__(a2.data), ndrange((3, 3)) * 2)
+
+        # non anonymous axes (N <= 2)
         arr1d = ndtest(3)
         arr2d = ndtest((3, 3))
 
-        if sys.version_info >= (3, 5):
-            # LArray value
-            self.assertEqual(arr1d.__matmul__(arr1d), 5)
-            assert_array_equal(arr1d.__matmul__(arr2d),
-                               LArray([15, 18, 21], 'b=b0..b2'))
-            assert_array_equal(arr2d.__matmul__(arr1d),
-                               LArray([5, 14, 23], 'a=a0..a2'))
-            res = LArray([[15, 18, 21], [42, 54, 66], [69, 90, 111]],
-                         'a=a0..a2;b=b0..b2')
-            assert_array_equal(arr2d.__matmul__(arr2d), res)
-
-            # ndarray value
-            assert_array_equal(arr1d.__matmul__(arr2d.data),
-                               LArray([15, 18, 21]))
-            assert_array_equal(arr2d.data.__matmul__(arr2d.data),
-                               LArray(res.data))
-
+        # 1D @ 1D
+        self.assertEqual(arr1d.__matmul__(arr1d), 5)
+
+        # 1D @ 2D
+        assert_array_equal(arr1d.__matmul__(arr2d),
+                           LArray([15, 18, 21], 'b=b0..b2'))
+
+        # 2D @ 1D
+        assert_array_equal(arr2d.__matmul__(arr1d),
+                           LArray([5, 14, 23], 'a=a0..a2'))
+
+        # 2D(a,b) @ 2D(a,b) -> 2D(a,b)
+        res = from_lists([['a\\b', 'b0', 'b1', 'b2'],
+                          ['a0', 15, 18, 21],
+                          ['a1', 42, 54, 66],
+                          ['a2', 69, 90, 111]])
+        assert_array_equal(arr2d.__matmul__(arr2d), res)
+
+        # 2D(a,b) @ 2D(b,a) -> 2D(a,a)
+        res = from_lists([['a\\a', 'a0', 'a1', 'a2'],
+                          ['a0', 5, 14, 23],
+                          ['a1', 14, 50, 86],
+                          ['a2', 23, 86, 149]])
+        assert_array_equal(arr2d.__matmul__(arr2d.T), res)
+
+        # ndarray value
+        assert_array_equal(arr1d.__matmul__(arr2d.data),
+                           LArray([15, 18, 21]))
+        assert_array_equal(arr2d.data.__matmul__(arr2d.T.data),
+                           res.data)
+
+        # different axes
+        a1 = ndtest('a=a0..a1;b=b0..b2')
+        a2 = ndrange('b=b0..b2;c=c0..c3')
+        res = from_lists([['a\c', 'c0', 'c1', 'c2', 'c3'],
+                          ['a0', 20, 23, 26, 29],
+                          ['a1', 56, 68, 80, 92]])
+        assert_array_equal(a1.__matmul__(a2), res)
+
+        # non anonymous axes (N >= 2)
+        arr2d = ndtest((2, 2))
+        arr3d = ndtest((2, 2, 2))
+        arr4d = ndtest((2, 2, 2, 2))
+        a, b, c, d = arr4d.axes
+        e = Axis('e', 'e0,e1')
+        f = Axis('f', 'f0,f1')
+
+        # 4D(a, b, c, d) @ 3D(e, d, f) -> 5D(a, b, e, c, f)
+        arr3d = arr3d.replace_axes([e, d, f])
+        res = from_lists([['a', 'b', 'e', 'c\\f', 'f0', 'f1'],
+                          ['a0', 'b0', 'e0', 'c0', 2, 3],
+                          ['a0', 'b0', 'e0', 'c1', 6, 11],
+                          ['a0', 'b0', 'e1', 'c0', 6, 7],
+                          ['a0', 'b0', 'e1', 'c1', 26, 31],
+                          ['a0', 'b1', 'e0', 'c0', 10, 19],
+                          ['a0', 'b1', 'e0', 'c1', 14, 27],
+                          ['a0', 'b1', 'e1', 'c0', 46, 55],
+                          ['a0', 'b1', 'e1', 'c1', 66, 79],
+                          ['a1', 'b0', 'e0', 'c0', 18, 35],
+                          ['a1', 'b0', 'e0', 'c1', 22, 43],
+                          ['a1', 'b0', 'e1', 'c0', 86, 103],
+                          ['a1', 'b0', 'e1', 'c1', 106, 127],
+                          ['a1', 'b1', 'e0', 'c0', 26, 51],
+                          ['a1', 'b1', 'e0', 'c1', 30, 59],
+                          ['a1', 'b1', 'e1', 'c0', 126, 151],
+                          ['a1', 'b1', 'e1', 'c1', 146, 175]])
+        assert_array_equal(arr4d.__matmul__(arr3d), res)
+
+        # 3D(e, d, f) @ 4D(a, b, c, d) -> 5D(e, a, b, d, d)
+        res = from_lists([['e', 'a', 'b', 'd\\d', 'd0', 'd1'],
+                          ['e0', 'a0', 'b0', 'd0', 2, 3],
+                          ['e0', 'a0', 'b0', 'd1', 6, 11],
+                          ['e0', 'a0', 'b1', 'd0', 6, 7],
+                          ['e0', 'a0', 'b1', 'd1', 26, 31],
+                          ['e0', 'a1', 'b0', 'd0', 10, 11],
+                          ['e0', 'a1', 'b0', 'd1', 46, 51],
+                          ['e0', 'a1', 'b1', 'd0', 14, 15],
+                          ['e0', 'a1', 'b1', 'd1', 66, 71],
+                          ['e1', 'a0', 'b0', 'd0', 10, 19],
+                          ['e1', 'a0', 'b0', 'd1', 14, 27],
+                          ['e1', 'a0', 'b1', 'd0', 46, 55],
+                          ['e1', 'a0', 'b1', 'd1', 66, 79],
+                          ['e1', 'a1', 'b0', 'd0', 82, 91],
+                          ['e1', 'a1', 'b0', 'd1', 118, 131],
+                          ['e1', 'a1', 'b1', 'd0', 118, 127],
+                          ['e1', 'a1', 'b1', 'd1', 170, 183]])
+        assert_array_equal(arr3d.__matmul__(arr4d), res)
+
+        # 4D(a, b, c, d) @ 3D(b, d, f) -> 4D(a, b, c, f)
+        arr3d = arr3d.replace_axes([b, d, f])
+        res = from_lists([['a', 'b', 'c\\f', 'f0', 'f1'],
+                          ['a0', 'b0', 'c0', 2, 3],
+                          ['a0', 'b0', 'c1', 6, 11],
+                          ['a0', 'b1', 'c0', 46, 55],
+                          ['a0', 'b1', 'c1', 66, 79],
+                          ['a1', 'b0', 'c0', 18, 35],
+                          ['a1', 'b0', 'c1', 22, 43],
+                          ['a1', 'b1', 'c0', 126, 151],
+                          ['a1', 'b1', 'c1', 146, 175]])
+        assert_array_equal(arr4d.__matmul__(arr3d), res)
+
+        # 3D(b, d, f) @ 4D(a, b, c, d) -> 4D(b, a, d, d)
+        res = from_lists([['b', 'a', 'd\\d', 'd0', 'd1'],
+                          ['b0', 'a0', 'd0', 2, 3],
+                          ['b0', 'a0', 'd1', 6, 11],
+                          ['b0', 'a1', 'd0', 10, 11],
+                          ['b0', 'a1', 'd1', 46, 51],
+                          ['b1', 'a0', 'd0', 46, 55],
+                          ['b1', 'a0', 'd1', 66, 79],
+                          ['b1', 'a1', 'd0', 118, 127],
+                          ['b1', 'a1', 'd1', 170, 183]])
+        assert_array_equal(arr3d.__matmul__(arr4d), res)
+
+        # 4D(a, b, c, d) @ 2D(d, f) -> 5D(a, b, c, f)
+        arr2d = arr2d.replace_axes([d, f])
+        res = from_lists([['a', 'b', 'c\\f', 'f0', 'f1'],
+                          ['a0', 'b0', 'c0', 2, 3],
+                          ['a0', 'b0', 'c1', 6, 11],
+                          ['a0', 'b1', 'c0', 10, 19],
+                          ['a0', 'b1', 'c1', 14, 27],
+                          ['a1', 'b0', 'c0', 18, 35],
+                          ['a1', 'b0', 'c1', 22, 43],
+                          ['a1', 'b1', 'c0', 26, 51],
+                          ['a1', 'b1', 'c1', 30, 59]])
+        assert_array_equal(arr4d.__matmul__(arr2d), res)
+
+        # 2D(d, f) @ 4D(a, b, c, d) -> 5D(a, b, d, d)
+        res = from_lists([['a', 'b', 'd\\d', 'd0', 'd1'],
+                          ['a0', 'b0', 'd0', 2, 3],
+                          ['a0', 'b0', 'd1', 6, 11],
+                          ['a0', 'b1', 'd0', 6, 7],
+                          ['a0', 'b1', 'd1', 26, 31],
+                          ['a1', 'b0', 'd0', 10, 11],
+                          ['a1', 'b0', 'd1', 46, 51],
+                          ['a1', 'b1', 'd0', 14, 15],
+                          ['a1', 'b1', 'd1', 66, 71]])
+        assert_array_equal(arr2d.__matmul__(arr4d), res)
+
+
+    @unittest.skipIf(sys.version_info < (3, 5), "@ unavailable (Python < 3.5)")
     def test_rmatmul(self):
         a1 = eye(3) * 2
         a2 = ndrange((3, 3))
-        if sys.version_info >= (3, 5):
-            # equivalent to a1.data @ a2
-            res = a2.__rmatmul__(a1.data)
-            self.assertIsInstance(res, LArray)
-            assert_array_equal(res, ndrange((3, 3)) * 2)
+
+        # equivalent to a1.data @ a2
+        res = a2.__rmatmul__(a1.data)
+        self.assertIsInstance(res, LArray)
+        assert_array_equal(res, ndrange((3, 3)) * 2)
 
     def test_broadcast_with(self):
         a1 = ndrange((3, 2))

From 47232b5b8e232ba2251698546fddde59ac59df55 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 16 Feb 2017 14:03:15 +0100
Subject: [PATCH 371/899] use abspath in file-creating tests (closes #97).

---
 larray/core.py               |  31 ++++---
 larray/tests/test_la.py      | 170 +++++++++++++++++------------------
 larray/tests/test_session.py |  23 ++---
 3 files changed, 116 insertions(+), 108 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index afbec7d4d..fb604c83b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8275,27 +8275,29 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
         Examples
         --------
+        >>> from .tests.test_la import abspath
+        >>> fpath = abspath('test.csv')
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
-        >>> a.to_csv('test.csv')
-        >>> with open('test.csv') as f:
+        >>> a.to_csv(fpath)
+        >>> with open(fpath) as f:
         ...     print(f.read().strip())
         nat\\sex,M,F
         BE,0,1
         FO,2,3
-        >>> a.to_csv('test.csv', sep=';', transpose=False)
-        >>> with open('test.csv') as f:
+        >>> a.to_csv(fpath, sep=';', transpose=False)
+        >>> with open(fpath) as f:
         ...     print(f.read().strip())
         nat;sex;0
         BE;M;0
         BE;F;1
         FO;M;2
         FO;F;3
-        >>> a.to_csv('test.csv', dialect='classic')
-        >>> with open('test.csv') as f:
+        >>> a.to_csv(fpath, dialect='classic')
+        >>> with open(fpath) as f:
         ...     print(f.read().strip())
         nat,M,F
         BE,0,1
@@ -8328,8 +8330,9 @@ def to_hdf(self, filepath, key, *args, **kwargs):
 
         Examples
         --------
+        >>> from .tests.test_la import abspath
         >>> a = ndrange('nat=BE,FO;sex=M,F')
-        >>> a.to_hdf('test.h5', 'a')
+        >>> a.to_hdf(abspath('test.h5'), 'a')
         """
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
@@ -9166,18 +9169,22 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
 
     Examples
     --------
+    >>> from .tests.test_la import abspath
+    >>> fpath = abspath('test.csv')
     >>> a = ndrange('nat=BE,FO;sex=M,F')
-    >>> a.to_csv('test.csv')
-    >>> read_csv('test.csv')
+
+    >>> a.to_csv(fpath)
+    >>> read_csv(fpath)
     nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> read_csv('test.csv', sort_columns=True)
+    >>> read_csv(fpath, sort_columns=True)
     nat\\sex | F | M
          BE | 1 | 0
          FO | 3 | 2
-    >>> a.to_csv('no_axis_name.csv', dialect='classic')
-    >>> read_csv('no_axis_name.csv', nb_index=1)
+    >>> fpath = abspath('no_axis_name.csv')
+    >>> a.to_csv(fpath, dialect='classic')
+    >>> read_csv(fpath, nb_index=1)
     nat\\{1} | M | F
          BE | 0 | 1
          FO | 2 | 3
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 882d9cdf7..1cba2ed46 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3011,7 +3011,7 @@ def test_read_excel_xlwings(self):
 
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
                                                 "the xlwings backend"):
-            read_excel('test.xlsx', engine='xlwings', dtype=float)
+            read_excel(abspath('test.xlsx'), engine='xlwings', dtype=float)
 
     def test_read_excel_pandas(self):
         la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
@@ -3089,139 +3089,139 @@ def test_to_csv(self):
         assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
                            [3722, 3395, 3347])
 
-        la.to_csv('out.csv')
+        la.to_csv(abspath('out.csv'))
         result = ['arr,age,sex,nat\\time,2007,2010,2013\n',
                   '1,0,F,1,3722,3395,3347\n',
                   '1,0,F,2,338,316,323\n']
-        with open('out.csv') as f:
+        with open(abspath('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la.to_csv('out.csv', transpose=False)
+        la.to_csv(abspath('out.csv'), transpose=False)
         result = ['arr,age,sex,nat,time,0\n', '1,0,F,1,2007,3722\n',
                   '1,0,F,1,2010,3395\n']
-        with open('out.csv') as f:
+        with open(abspath('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
         la = ndrange([Axis('time', range(2015, 2018))])
-        la.to_csv('test_out1d.csv')
+        la.to_csv(abspath('test_out1d.csv'))
         result = ['time,2015,2016,2017\n',
                   ',0,1,2\n']
-        with open('test_out1d.csv') as f:
+        with open(abspath('test_out1d.csv')) as f:
             self.assertEqual(f.readlines(), result)
 
     def test_to_excel_xlsxwriter(self):
-        fname = 'test_to_excel_xlsxwriter.xlsx'
+        fpath = abspath('test_to_excel_xlsxwriter.xlsx')
 
         # 1D
         a1 = ndtest(3)
 
-        # fname/Sheet1/A1
-        a1.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a1.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
-        # fname/Sheet1/A1(transposed)
-        a1.to_excel(fname, transpose=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1(transposed)
+        a1.to_excel(fpath, transpose=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
         # 2D
         a2 = ndtest((2, 3))
 
-        # fname/Sheet1/A1
-        a2.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a2.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a2)
 
-        # fname/Sheet1/A10
+        # fpath/Sheet1/A10
         # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
-        # a2.to_excel('fname', 'Sheet1', 'A10', engine='xlsxwriter')
-        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=9)
+        # a2.to_excel('fpath', 'Sheet1', 'A10', engine='xlsxwriter')
+        # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=9)
         # assert_array_equal(res, a2)
 
-        # fname/other/A1
-        a2.to_excel(fname, 'other', engine='xlsxwriter')
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a2.to_excel(fpath, 'other', engine='xlsxwriter')
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a2)
 
         # 3D
         a3 = ndtest((2, 3, 4))
 
-        # fname/Sheet1/A1
+        # fpath/Sheet1/A1
         # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
-        a3.to_excel(fname, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
-        # a3.to_excel('fname', overwrite_file=True, engine='openpyxl')
-        res = read_excel(fname, engine='xlrd')
+        a3.to_excel(fpath, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+        # a3.to_excel('fpath', overwrite_file=True, engine='openpyxl')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a3)
 
-        # fname/Sheet1/A20
+        # fpath/Sheet1/A20
         # TODO: implement position (see above)
-        # a3.to_excel('fname', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
-        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=19)
+        # a3.to_excel('fpath', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+        # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=19)
         # assert_array_equal(res, a3)
 
-        # fname/other/A1
-        a3.to_excel(fname, 'other', engine='xlsxwriter', merge_cells=False)
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a3.to_excel(fpath, 'other', engine='xlsxwriter', merge_cells=False)
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
         # 1D
         a1 = ndtest(3)
 
-        # fname/Sheet1/A1
-        a1.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a1.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
-        # fname/Sheet1/A1(transposed)
-        a1.to_excel(fname, transpose=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1(transposed)
+        a1.to_excel(fpath, transpose=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
         # 2D
         a2 = ndtest((2, 3))
 
-        # fname/Sheet1/A1
-        a2.to_excel(fname, overwrite_file=True, engine='xlsxwriter')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a2.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a2)
 
-        # fname/Sheet1/A10
+        # fpath/Sheet1/A10
         # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
-        # a2.to_excel('fname', 'Sheet1', 'A10', engine='xlsxwriter')
-        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=9)
+        # a2.to_excel(fpath, 'Sheet1', 'A10', engine='xlsxwriter')
+        # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=9)
         # assert_array_equal(res, a2)
 
-        # fname/other/A1
-        a2.to_excel(fname, 'other', engine='xlsxwriter')
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a2.to_excel(fpath, 'other', engine='xlsxwriter')
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a2)
 
         # 3D
         a3 = ndtest((2, 3, 4))
 
-        # fname/Sheet1/A1
+        # fpath/Sheet1/A1
         # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
-        a3.to_excel(fname, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
-        # a3.to_excel('fname', overwrite_file=True, engine='openpyxl')
-        res = read_excel(fname, engine='xlrd')
+        a3.to_excel(fpath, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+        # a3.to_excel('fpath', overwrite_file=True, engine='openpyxl')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a3)
 
-        # fname/Sheet1/A20
+        # fpath/Sheet1/A20
         # TODO: implement position (see above)
-        # a3.to_excel('fname', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
-        # res = read_excel('fname', 'Sheet1', engine='xlrd', skiprows=19)
+        # a3.to_excel('fpath', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+        # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=19)
         # assert_array_equal(res, a3)
 
-        # fname/other/A1
-        a3.to_excel(fname, 'other', engine='xlsxwriter', merge_cells=False)
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a3.to_excel(fpath, 'other', engine='xlsxwriter', merge_cells=False)
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
     @unittest.skipIf(xw is None, "xlwings is not available")
     def test_to_excel_xlwings(self):
         # TODO: we should implement an app= argument to to_excel to reuse the same Excel instance
-        fname = 'test_to_excel_xlwings.xlsx'
+        fpath = abspath('test_to_excel_xlwings.xlsx')
 
         # 1D
         a1 = ndtest(3)
@@ -3229,51 +3229,51 @@ def test_to_excel_xlwings(self):
         # live book/Sheet1/A1
         # a1.to_excel()
 
-        # fname/Sheet1/A1
-        a1.to_excel(fname, overwrite_file=True, engine='xlwings')
+        # fpath/Sheet1/A1
+        a1.to_excel(fpath, overwrite_file=True, engine='xlwings')
         # we use xlrd to read back instead of xlwings even if that should work, to make the test faster
-        res = read_excel(fname, engine='xlrd')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
-        # fname/Sheet1/A1(transposed)
-        a1.to_excel(fname, transpose=True, engine='xlwings')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1(transposed)
+        a1.to_excel(fpath, transpose=True, engine='xlwings')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
         # 2D
         a2 = ndtest((2, 3))
 
-        # fname/Sheet1/A1
-        a2.to_excel(fname, overwrite_file=True, engine='xlwings')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a2.to_excel(fpath, overwrite_file=True, engine='xlwings')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a2)
 
-        # fname/Sheet1/A10
-        a2.to_excel(fname, 'Sheet1', 'A10', engine='xlwings')
-        res = read_excel(fname, 'Sheet1', engine='xlrd', skiprows=9)
+        # fpath/Sheet1/A10
+        a2.to_excel(fpath, 'Sheet1', 'A10', engine='xlwings')
+        res = read_excel(fpath, 'Sheet1', engine='xlrd', skiprows=9)
         assert_array_equal(res, a2)
 
-        # fname/other/A1
-        a2.to_excel(fname, 'other', engine='xlwings')
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a2.to_excel(fpath, 'other', engine='xlwings')
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a2)
 
         # 3D
         a3 = ndtest((2, 3, 4))
 
-        # fname/Sheet1/A1
-        a3.to_excel(fname, overwrite_file=True, engine='xlwings')
-        res = read_excel(fname, engine='xlrd')
+        # fpath/Sheet1/A1
+        a3.to_excel(fpath, overwrite_file=True, engine='xlwings')
+        res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a3)
 
-        # fname/Sheet1/A20
-        a3.to_excel(fname, 'Sheet1', 'A20', engine='xlwings')
-        res = read_excel(fname, 'Sheet1', engine='xlrd', skiprows=19)
+        # fpath/Sheet1/A20
+        a3.to_excel(fpath, 'Sheet1', 'A20', engine='xlwings')
+        res = read_excel(fpath, 'Sheet1', engine='xlrd', skiprows=19)
         assert_array_equal(res, a3)
 
-        # fname/other/A1
-        a3.to_excel(fname, 'other', engine='xlwings')
-        res = read_excel(fname, 'other', engine='xlrd')
+        # fpath/other/A1
+        a3.to_excel(fpath, 'other', engine='xlwings')
+        res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
     @unittest.skipIf(xw is None, "xlwings is not available")
@@ -3284,7 +3284,7 @@ def test_open_excel(self):
         # 1) with headers
         # ===============
 
-        with open_excel('test_open_excel.xlsx', app=app) as wb:
+        with open_excel(abspath('test_open_excel.xlsx'), app=app) as wb:
             # 1D
             a1 = ndtest(3)
 
@@ -3364,7 +3364,7 @@ def test_open_excel(self):
 
         # 2) without headers
         # ==================
-        with open_excel('test_open_excel_no_headers.xlsx', app=app) as wb:
+        with open_excel(abspath('test_open_excel_no_headers.xlsx'), app=app) as wb:
             # 1D
             a1 = ndtest(3)
 
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 4e0211a82..3eb5746a1 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -6,7 +6,7 @@
 import numpy as np
 
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
-from larray.tests.test_la import assert_array_nan_equal
+from larray.tests.test_la import assert_array_nan_equal, abspath
 
 
 def equal(o1, o2):
@@ -42,7 +42,7 @@ def test_init(self):
                     e=self.e, f=self.f, g=self.g)
         self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g'])
 
-        s = Session('test_session.h5')
+        s = Session(abspath('test_session.h5'))
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
         # this needs xlwings installed
@@ -126,32 +126,33 @@ def test_names(self):
         self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'])
 
     def test_h5_io(self):
-        self.session.dump('test_session.h5')
+        fpath = abspath('test_session.h5')
+
+        self.session.dump(fpath)
         s = Session()
-        s.load('test_session.h5')
+        s.load(fpath)
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
         s = Session()
-        s.load('test_session.h5', ['e', 'f'])
+        s.load(fpath, ['e', 'f'])
         self.assertEqual(s.names, ['e', 'f'])
 
     def test_xlsx_io(self):
-        self.session.dump('test_session.xlsx', engine='pandas_excel')
-        self.session.dump('test_session_ef.xlsx', ['e', 'f'],
-                          engine='pandas_excel')
+        self.session.dump(abspath('test_session.xlsx'), engine='pandas_excel')
+        self.session.dump(abspath('test_session_ef.xlsx'), ['e', 'f'], engine='pandas_excel')
         # dump_excel uses default engine (xlwings) which is not available on
         # travis
         # self.session.dump_excel('test_session2.xlsx')
 
         s = Session()
-        s.load('test_session_ef.xlsx', engine='pandas_excel')
+        s.load(abspath('test_session_ef.xlsx'), engine='pandas_excel')
         self.assertEqual(s.names, ['e', 'f'])
 
     def test_csv_io(self):
-        self.session.dump_csv('test_session_csv')
+        self.session.dump_csv(abspath('test_session_csv'))
 
         s = Session()
-        s.load('test_session_csv', engine='pandas_csv')
+        s.load(abspath('test_session_csv'), engine='pandas_csv')
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
     def test_eq(self):

From b631c221b73dd51c7308802704f9f0cf16ea46f1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 23 Feb 2017 11:49:20 +0100
Subject: [PATCH 372/899] fromstring (#96)

implemented from_string
---
 larray/core.py | 54 +++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 53 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index afbec7d4d..eaab75e6d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -11,7 +11,7 @@
     'x',
     'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest', 'from_lists',
+    'ndtest', 'from_lists', 'from_string',
     'identity', 'diag', 'eye',
     'larray_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
@@ -9122,6 +9122,58 @@ def from_lists(data, nb_index=None, index_col=None):
     return df_aslarray(df, raw=index_col is None, parse_header=False)
 
 
+def from_string(s, nb_index=None, index_col=None, sep=','):
+    """Create an array from a multi-line string.
+
+    Parameters
+    ----------
+    s : str
+        input string.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+    sep : str
+        delimiter used to split each line into cells.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+
+    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+
+    Each label is stripped of leading and trailing whitespace, so this is valid too:
+
+    >>> from_string('''nat\\sex, M, F
+    ...                BE,       0, 1
+    ...                FO,       2, 3''')
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+
+    Empty lines at the beginning or end are ignored, so one can also format the string like this:
+
+    >>> from_string('''
+    ... nat\\sex, M, F
+    ... BE,       0, 1
+    ... FO,       2, 3
+    ... ''')
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+    """
+    data = [[cell.strip() for cell in line.split(sep)]
+            for line in s.strip().splitlines()]
+    return from_lists(data, nb_index=nb_index, index_col=index_col)
+
+
 def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
              sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
     """

From 390a92075a02db01b6383010b16fdb3b625616a2 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 6 Mar 2017 12:56:47 +0100
Subject: [PATCH 373/899] replace_axes accept AxisCollection object as argument

replace_axes accept AxisCollection object for arg axes_to_replace (fix #132)
---
 larray/core.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 2e100fe5a..9cc45e921 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3912,12 +3912,13 @@ def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
         Parameters
         ----------
         axes_to_replace : axis ref or dict {axis ref: axis} or
-                  list of tuple (axis ref, axis) or list of Axis
+                  list of tuple (axis ref, axis) or list of Axis or
+                  AxisCollection
             Axes to replace. If a single axis reference is given,
             the `new_axes` argument must be used. If a list of
-            Axis is given, all axes will be replaced by the
-            new ones. In that case, the number of new axes must
-            match the number of the old ones.
+            Axis or an AxisCollection is given, all axes will be
+            replaced by the new ones. In that case, the number of
+            new axes must match the number of the old ones.
         new_axis : Axis
             New axis if `axes_to_replace`
             contains a single axis reference.
@@ -3960,11 +3961,16 @@ def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         >>> arr.replace_axes({x.a: row, x.b: column})
+        row\\column | c0 | c1 | c2
+                r0 |  0 |  1 |  2
+                r1 |  3 |  4 |  5
+        >>> arr2 = ndrange([row, column])
+        >>> arr.replace_axes(arr2.axes)
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         """
-        if isinstance(axes_to_replace, list) and \
+        if isinstance(axes_to_replace, (list, AxisCollection)) and \
                 all([isinstance(axis, Axis) for axis in axes_to_replace]):
             if len(axes_to_replace) != len(self.axes):
                 raise ValueError('{} axes given as argument, expected '

From dc8987ae5703a5f7e85b70f180a7e49353a9cc27 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 6 Mar 2017 15:46:38 +0100
Subject: [PATCH 374/899] fix #136 : plot method in viewer displays the legend
 with correct labels

---
 larray/viewer.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 1da06c5b9..a8697af34 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1218,7 +1218,7 @@ def plot(self):
             xlabel = dim_names[-1]
             xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
             for row in range(len(data)):
-                label = ','.join([str(ylabels[j][row])
+                label = ','.join([str(ylabels[j][row_min + row])
                                   for j in range(1, len(ylabels))])
                 ax.plot(data[row], label=label)
 
@@ -1234,9 +1234,10 @@ def plot(self):
 
         if data.shape[1] != 1:
             # set legend
-            box = ax.get_position()
-            ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
-            ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
+            # box = ax.get_position()
+            # ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
+            # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
+            ax.legend()
 
         main = PlotDialog(figure, self)
         main.show()

From 66cac5d5fff09ec8fdcd22205ee149699c53b198 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 23 Feb 2017 10:58:17 +0100
Subject: [PATCH 375/899] some ideas of nicer query style

---
 design.txt | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/design.txt b/design.txt
index e894804ec..3bd221c9d 100644
--- a/design.txt
+++ b/design.txt
@@ -1031,3 +1031,28 @@ for y in time[start_year + 1:]:
 for c in sutcode.matches('^...$') | sutcode.matches('^..$') - 'ND':
     g = sutcode.startswith(c) - c
 
+==========================================
+==========================================
+
+# other query style
+
+# we could have special aggregate functions
+subset = pop.q('M', sum[10:20])
+# works nicely to disambiguate axes
+subset = pop.q('M', age.sum[10:20, 20:30])
+# but we have a problem with naming the aggregated labels (this cannot work except using a full-string syntax)
+subset = pop.q('M', age.sum[10:20 >> 'yada1', 20:30 >> 'yada2'])
+# this, however could work, but would be error-prone:
+subset = pop.q('M', age.sum[10:20, 20:30] >> ('yada1', 'yada2'))
+# this could work though
+subset = pop.q('M', age.sum(S[10:20] >> 'yada1', S[20:30] >> 'yada2'))
+# which maps nicely to the string-only:
+subset = pop.q('M, age.sum(10:20 >> yada1, 20:30 >> yada2'))
+# without ambiguity, that would be
+subset = pop.q('M, sum(10:20 >> yada1, 20:30 >> yada2'))
+
+# if using a function (like .q) we could also "rename" axes on the fly. the above would create an aggregated axis
+# named "age" but the code below would create "toto" instead
+subset = pop.q('M', toto=age.sum[10:20, 20:30])
+
+

From b2a84e2ec91645e9b4501cd2bd935195bf203fff Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 13 Feb 2017 08:04:10 +0100
Subject: [PATCH 376/899] removed Python 3.3 from list of supported Python
 versions

 AFAIK it still works, but since it is not tested anymore, it could break anyday.
---
 setup.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/setup.py b/setup.py
index 229f07f18..288f7428d 100644
--- a/setup.py
+++ b/setup.py
@@ -32,7 +32,6 @@ def readlocal(fname):
     'Programming Language :: Python :: 2',
     'Programming Language :: Python :: 2.7',
     'Programming Language :: Python :: 3',
-    'Programming Language :: Python :: 3.3',
     'Programming Language :: Python :: 3.4',
     'Programming Language :: Python :: 3.5',
     'Programming Language :: Python :: 3.6',

From daaa37d3a94c1ccf68b9440b6931e1b69996f7c4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 6 Mar 2017 13:04:14 +0100
Subject: [PATCH 377/899] implemented Axis.by() which is equivalent to
 axis[:].by()

fixed Group.by() when group is a slice with None as either bound
(to make it possible to implement Axis.by)
---
 larray/core.py | 35 +++++++++++++++++++++++++++++++++--
 1 file changed, 33 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9cc45e921..9a692d31b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -967,6 +967,36 @@ def labels(self, labels):
         self._labels = labels
         self._iswildcard = iswildcard
 
+    def by(self, length, step=None):
+        """Split axis into several groups of specified length.
+
+        Parameters
+        ----------
+        length : int
+            length of groups
+        step : int, optional
+            step between groups. Defaults to length.
+
+        Notes
+        -----
+        step can be smaller than length, in which case, this will produce overlapping groups.
+
+        Returns
+        -------
+        list of Group
+
+        Examples
+        --------
+        >>> age = Axis('age', range(10))
+        >>> age.by(3)
+        (age.i[0:3], age.i[3:6], age.i[6:9], age.i[9:10])
+        >>> age.by(3, 4)
+        (age.i[0:3], age.i[4:7], age.i[8:10])
+        >>> age.by(5, 3)
+        (age.i[0:5], age.i[3:8], age.i[6:10], age.i[9:10])
+        """
+        return self[:].by(length, step)
+
     def extend(self, labels):
         """
         Append new labels to an axis or increase its length
@@ -1786,13 +1816,14 @@ def __getitem__(self, key):
                 orig_key.start, orig_key.stop, orig_key.step
             if orig_step is None:
                 orig_step = 1
-            orig_start_pos = self.translate(orig_start)
+
+            orig_start_pos = self.translate(orig_start) if orig_start is not None else 0
             if isinstance(key, slice):
                 key_start, key_stop, key_step = key.start, key.stop, key.step
                 if key_step is None:
                     key_step = 1
 
-                orig_stop_pos = self.translate(orig_stop, stop=True)
+                orig_stop_pos = self.translate(orig_stop, stop=True) if orig_stop is not None else len(self)
                 new_start = orig_start_pos + key_start * orig_step
                 new_stop = min(orig_start_pos + key_stop * orig_step,
                                orig_stop_pos)

From 0dd768d1ad57fe929934b1c5de0ff85738814912 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 6 Mar 2017 13:11:00 +0100
Subject: [PATCH 378/899] Make viewer shortcuts work even when the focus is not
 on the array editor widget (ie it is on the array list, or on the interactive
 console) (closes #102).

---
 larray/viewer.py | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index a8697af34..c30554a23 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -83,7 +83,7 @@
                             QDialog, QDialogButtonBox, QPushButton,
                             QMessageBox, QMenu,
                             QLabel, QSpinBox, QWidget, QVBoxLayout,
-                            QAction, QStyle, QToolTip)
+                            QAction, QStyle, QToolTip, QShortcut)
 
 from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence,
                         QFont, QIcon, QFontMetrics, QCursor)
@@ -939,6 +939,21 @@ def __init__(self, parent, model, dtype, shape):
         self.shape = shape
         self.context_menu = self.setup_context_menu()
 
+        # TODO: find a cleaner way to do this
+        # For some reason the shortcuts in the context menu are not available if the widget does not have the focus,
+        # EVEN when using action.setShortcutContext(Qt.ApplicationShortcut) (or Qt.WindowShortcut) so we redefine them
+        # here. I was also unable to get the function an action.triggered is connected to, so I couldn't do this via
+        # a loop on self.context_menu.actions.
+        shortcuts = [
+            (keybinding('Copy'), self.copy),
+            (QKeySequence("Ctrl+E"), self.to_excel),
+            (keybinding('Paste'), self.paste),
+            (keybinding('Print'), self.plot)
+        ]
+        for key_seq, target in shortcuts:
+            shortcut = QShortcut(key_seq, self)
+            shortcut.activated.connect(target)
+
         # make the grid a bit more compact
         self.horizontalHeader().setDefaultSectionSize(64)
         self.verticalHeader().setDefaultSectionSize(20)

From 67e19c983f16b4140077fe9206dd4668302a2ddb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 6 Mar 2017 17:25:49 +0100
Subject: [PATCH 379/899] fixed compare() colors when arrays have values which
 are very close but not exactly equal

also fixes the warnings it spitted in that case (fixes #123).
---
 larray/viewer.py | 20 ++++++++++++++++----
 1 file changed, 16 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index c30554a23..6a8869d05 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2246,9 +2246,19 @@ def __init__(self, stop_points=None):
         stop_points = sorted(stop_points, key=lambda x: x[0])
         positions, colors = zip(*stop_points)
         self.positions = np.array(positions)
+        assert len(np.unique(self.positions)) == len(self.positions)
         self.colors = np.array(colors)
 
     def __getitem__(self, key):
+        """
+        Parameters
+        ----------
+        key : float
+
+        Returns
+        -------
+        QColor
+        """
         if key != key:
             key = self.positions[0]
         pos_idx = np.searchsorted(self.positions, key, side='right') - 1
@@ -2256,7 +2266,9 @@ def __getitem__(self, key):
         if pos_idx > 0 and key in self.positions:
             pos_idx -= 1
         pos0, pos1 = self.positions[pos_idx:pos_idx + 2]
+        # col0 and col1 are ndarrays
         col0, col1 = self.colors[pos_idx:pos_idx + 2]
+        assert pos0 != pos1
         color = col0 + (col1 - col0) * (key - pos0) / (pos1 - pos0)
         return to_qvariant(QColor.fromHsvF(*color))
 
@@ -2314,9 +2326,9 @@ def setup_and_check(self, arrays, names, title=''):
             # all 0.5 (white)
             bg_value = la.full_like(diff, 0.5)
         gradient = LinearGradient([(0, [.66, .85, 1., .6]),
-                                   (0.5 - 1e-300, [.66, .15, 1., .6]),
+                                   (0.5 - 1e-16, [.66, .15, 1., .6]),
                                    (0.5, [1., 0., 1., 1.]),
-                                   (0.5 + 1e-300, [.99, .15, 1., .6]),
+                                   (0.5 + 1e-16, [.99, .15, 1., .6]),
                                    (1, [.99, .85, 1., .6])])
 
         self.arraywidget = ArrayEditorWidget(self, self.array, readonly=True,
@@ -2360,9 +2372,9 @@ def __init__(self, parent=None):
         self.arraywidget = None
         self.maxdiff_label = None
         self.gradient = LinearGradient([(0, [.66, .85, 1., .6]),
-                                        (0.5 - 1e-300, [.66, .15, 1., .6]),
+                                        (0.5 - 1e-16, [.66, .15, 1., .6]),
                                         (0.5, [1., 0., 1., 1.]),
-                                        (0.5 + 1e-300, [.99, .15, 1., .6]),
+                                        (0.5 + 1e-16, [.99, .15, 1., .6]),
                                         (1, [.99, .85, 1., .6])])
 
     def setup_and_check(self, sessions, names, title=''):

From c44deeffd5ff6f06a39f17459fd07be976a159a1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 6 Mar 2017 17:40:06 +0100
Subject: [PATCH 380/899] fixed opening a viewer via view() edit() or compare()
 from within the viewer

also made it non-blocking in that case so that you can have several windows open at the same time (fixes 109)
also fixes opening a viewer after a plot window was shown.
---
 larray/viewer.py | 32 +++++++++++++++++++++++++-------
 1 file changed, 25 insertions(+), 7 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6a8869d05..de82ec80c 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2553,7 +2553,13 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     depth : int, optional
         Stack depth where to look for variables.
     """
-    _app = qapplication()
+    _app = QApplication.instance()
+    if _app is None:
+        _app = qapplication()
+        parent = None
+    else:
+        parent = _app.activeWindow()
+
     if obj is None:
         local_vars = sys._getframe(depth + 1).f_locals
         obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
@@ -2567,9 +2573,12 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     if not title:
         title = get_title(obj, depth=depth + 1)
 
-    dlg = MappingEditor() if hasattr(obj, 'keys') else ArrayEditor()
+    dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
     if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
-        dlg.exec_()
+        if parent:
+            dlg.show()
+        else:
+            dlg.exec_()
 
 
 def view(obj=None, title=''):
@@ -2593,12 +2602,18 @@ def view(obj=None, title=''):
 
 def compare(*args, **kwargs):
     title = kwargs.pop('title', '')
-    _app = qapplication()
+    _app = QApplication.instance()
+    if _app is None:
+        _app = qapplication()
+        parent = None
+    else:
+        parent = _app.activeWindow()
+
     if any(isinstance(a, la.Session) for a in args):
-        dlg = SessionComparator()
+        dlg = SessionComparator(parent)
         default_name = 'session'
     else:
-        dlg = ArrayComparator()
+        dlg = ArrayComparator(parent)
         default_name = 'array'
 
     def get_name(i, obj, depth=0):
@@ -2607,7 +2622,10 @@ def get_name(i, obj, depth=0):
 
     names = [get_name(i, a, depth=1) for i, a in enumerate(args)]
     if dlg.setup_and_check(args, names=names, title=title):
-        dlg.exec_()
+        if parent:
+            dlg.show()
+        else:
+            dlg.exec_()
 
 
 _orig_display_hook = sys.displayhook

From 3891d45292525922933f10ff6495e30d20ec4c09 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 7 Mar 2017 08:27:13 +0100
Subject: [PATCH 381/899] fixed posargsort labels (fixes #137).

The test was also misleading: one could have thought it was computing the
rank of each label along the axis, which it did not.
---
 larray/core.py | 31 +++++++++++++++----------------
 1 file changed, 15 insertions(+), 16 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9a692d31b..653764292 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5857,13 +5857,11 @@ def argsort(self, axis=None, kind='quicksort'):
         """
         if axis is None:
             if self.ndim > 1:
-                raise ValueError("array has ndim > 1 and no axis specified for "
-                                 "argsort")
+                raise ValueError("array has ndim > 1 and no axis specified for argsort")
             axis = self.axes[0]
-        axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        data = axis.labels[self.data.argsort(axis_idx, kind=kind)]
-        new_axis = Axis(axis.name, np.arange(len(axis)))
-        return LArray(data, self.axes.replace(axis, new_axis))
+        axis = self.axes[axis]
+        pos = self.posargsort(axis, kind=kind)
+        return LArray(axis.labels[pos.data], pos.axes)
 
     def posargsort(self, axis=None, kind='quicksort'):
         """Returns the indices that would sort this array.
@@ -5889,25 +5887,26 @@ def posargsort(self, axis=None, kind='quicksort'):
         --------
         >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
         >>> sex = Axis('sex', ['M', 'F'])
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
+        >>> arr = LArray([[1, 5], [3, 2], [0, 4]], [nat, sex])
         >>> arr
         nat\\sex | M | F
-             BE | 0 | 1
+             BE | 1 | 5
              FR | 3 | 2
-             IT | 2 | 5
-        >>> arr.posargsort(x.sex)
+             IT | 0 | 4
+        >>> arr.posargsort(x.nat)
         nat\\sex | M | F
-             BE | 0 | 1
-             FR | 1 | 0
-             IT | 0 | 1
+              0 | 2 | 1
+              1 | 0 | 2
+              2 | 1 | 0
         """
         if axis is None:
             if self.ndim > 1:
-                raise ValueError("array has ndim > 1 and no axis specified for "
-                                 "posargsort")
+                raise ValueError("array has ndim > 1 and no axis specified for posargsort")
             axis = self.axes[0]
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
-        return LArray(self.data.argsort(axis_idx, kind=kind), self.axes)
+        data = self.data.argsort(axis_idx, kind=kind)
+        new_axis = Axis(axis.name, np.arange(len(axis)))
+        return LArray(data, self.axes.replace(axis, new_axis))
 
     def copy(self):
         """Returns a copy of the array.

From ddcb3f9cc3957da69ccf458d0abfcbecab79094c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 7 Mar 2017 08:50:12 +0100
Subject: [PATCH 382/899] made PlotDialog accept a canvas directly instead of a
 figure if the canvas needs to be created before

(for animation)
---
 larray/viewer.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index de82ec80c..70f4d1efe 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1254,15 +1254,15 @@ def plot(self):
             # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
             ax.legend()
 
-        main = PlotDialog(figure, self)
+        canvas = FigureCanvas(figure)
+        main = PlotDialog(canvas, self)
         main.show()
 
 
 class PlotDialog(QDialog):
-    def __init__(self, figure, parent=None):
+    def __init__(self, canvas, parent=None):
         super(PlotDialog, self).__init__(parent)
 
-        canvas = FigureCanvas(figure)
         toolbar = NavigationToolbar(canvas, self)
 
         # set the layout
@@ -1270,7 +1270,6 @@ def __init__(self, figure, parent=None):
         layout.addWidget(toolbar)
         layout.addWidget(canvas)
         self.setLayout(layout)
-
         canvas.draw()
 
 

From 0ff824b0e5b5d7e9a548fb2c7ddba397b27db360 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 7 Mar 2017 10:43:58 +0100
Subject: [PATCH 383/899] allow specifying stack depth in view() like in edit()

---
 larray/viewer.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 70f4d1efe..f613b1ebe 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2580,7 +2580,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
             dlg.exec_()
 
 
-def view(obj=None, title=''):
+def view(obj=None, title='', depth=0):
     """
     Starts a new viewer window. Arrays are loaded in
     readonly mode and their content cannot be modified.
@@ -2596,7 +2596,7 @@ def view(obj=None, title=''):
         Title for the current object.
         A default one is generated if not provided.
     """
-    edit(obj, title=title, readonly=True, depth=1)
+    edit(obj, title=title, readonly=True, depth=depth + 1)
 
 
 def compare(*args, **kwargs):

From 48791a1c7b2f8319dfeae14c6e917b45f7bc6eef Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 7 Mar 2017 10:49:02 +0100
Subject: [PATCH 384/899] automatically display plots done in the viewer
 console in a separate window

(unless "%matplotlib inline" is used)
---
 larray/viewer.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index f613b1ebe..3b47648fa 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2185,6 +2185,11 @@ def ipython_cell_executed(self):
                     if self._display_in_grid('_', cur_output):
                         self.view_expr(cur_output)
 
+                    if isinstance(cur_output, matplotlib.axes.Subplot) and 'inline' not in matplotlib.get_backend():
+                        canvas = FigureCanvas(cur_output.figure)
+                        main = PlotDialog(canvas, self)
+                        main.show()
+
     def on_item_changed(self, curr, prev):
         name = str(curr.text())
         array = self.data[name]

From 7a97225019212df7e4b2cdd3fa0bbd7ed3734115 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 7 Mar 2017 12:00:14 +0100
Subject: [PATCH 385/899] improved LArray.plot to get nicer plots by default

combine axes when ndim > 2 and go via a series (instead of df) when ndim == 1
incidentally, this makes plots generated via the viewer and via .plot much closer
---
 larray/core.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index 653764292..172d0fba4 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8531,7 +8531,11 @@ def plot(self):
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a.plot()  # doctest: +SKIP
         """
-        return self.to_frame().plot
+        combined = self.combine_axes(self.axes[:-1], sep=' ') if self.ndim > 2 else self
+        if combined.ndim == 1:
+            return combined.to_series().plot
+        else:
+            return combined.transpose().to_frame().plot
 
     @property
     def shape(self):

From 78bb1bfabcd107e2dae7734d83741cc6215e5536 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 7 Mar 2017 16:24:41 +0100
Subject: [PATCH 386/899] Update from_string function. dtype is automatically
 inferred (fixes #131)

---
 larray/core.py  | 26 ++++++++++++++++++++------
 larray/utils.py |  7 ++++++-
 2 files changed, 26 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 172d0fba4..bd28bce1e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -112,7 +112,8 @@
 from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
                           decode, basestring, unicode, bytes, izip, rproduct,
                           ReprString, duplicates, array_lookup2, strip_rows,
-                          skip_comment_cells, find_closing_chr, PY3)
+                          skip_comment_cells, find_closing_chr, StringIO, PY3)
+
 
 def _range_to_slice(seq, length=None):
     """
@@ -9165,7 +9166,7 @@ def from_lists(data, nb_index=None, index_col=None):
     return df_aslarray(df, raw=index_col is None, parse_header=False)
 
 
-def from_string(s, nb_index=None, index_col=None, sep=','):
+def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
     """Create an array from a multi-line string.
 
     Parameters
@@ -9179,6 +9180,8 @@ def from_string(s, nb_index=None, index_col=None, sep=','):
         List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
     sep : str
         delimiter used to split each line into cells.
+    \**kwargs
+        See arguments of Pandas read_csv function.
 
     Returns
     -------
@@ -9186,7 +9189,9 @@ def from_string(s, nb_index=None, index_col=None, sep=','):
 
     Examples
     --------
-
+    >>> from_string("sex,M,F\\n,0,1")
+    sex | M | F
+        | 0 | 1
     >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
     nat\sex | M | F
          BE | 0 | 1
@@ -9200,6 +9205,16 @@ def from_string(s, nb_index=None, index_col=None, sep=','):
     nat\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
+    >>> from_string('''age,nat\\sex, M, F
+    ...                0,  BE,       0, 1
+    ...                0,  FO,       2, 3
+    ...                1,  BE,       4, 5
+    ...                1,  FO,       6, 7''')
+    age | nat\sex | M | F
+      0 |      BE | 0 | 1
+      0 |      FO | 2 | 3
+      1 |      BE | 4 | 5
+      1 |      FO | 6 | 7
 
     Empty lines at the beginning or end are ignored, so one can also format the string like this:
 
@@ -9212,9 +9227,8 @@ def from_string(s, nb_index=None, index_col=None, sep=','):
          BE | 0 | 1
          FO | 2 | 3
     """
-    data = [[cell.strip() for cell in line.split(sep)]
-            for line in s.strip().splitlines()]
-    return from_lists(data, nb_index=nb_index, index_col=index_col)
+
+    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
 
 
 def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
diff --git a/larray/utils.py b/larray/utils.py
index 879c06fa8..1ccc44798 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -19,7 +19,7 @@
 
 import numpy as np
 
-if sys.version < '3':
+if sys.version_info[0] < 3:
     basestring = basestring
     bytes = str
     unicode = unicode
@@ -33,6 +33,11 @@
     long = int
     PY3 = True
 
+if PY3:
+    from io import StringIO
+else:
+    from StringIO import StringIO
+
 
 def csv_open(filename, mode='r'):
     assert 'b' not in mode and 't' not in mode

From f837e2a4d0d80e7660232eb042cbfc76f848785d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 13 Mar 2017 14:20:09 +0100
Subject: [PATCH 387/899] fix #121 : Update docstring of set_labels.

fix #133  :Rename replace_axes as set_axes.

Add inplace flag to set_axes and rename methods
---
 larray/core.py          | 97 ++++++++++++++++++++++++-----------------
 larray/tests/test_la.py | 16 +++----
 2 files changed, 64 insertions(+), 49 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index bd28bce1e..003a97009 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3905,7 +3905,7 @@ def __init__(self,
                 raise ValueError("length of axes %s does not match "
                                  "data shape %s" % (axes.shape, data.shape))
 
-        # Because __getattr__ and __setattr__ have been rewritten
+        # Because __getattr__ and __setattr__ have been overridden
         object.__setattr__(self, 'data', data)
         object.__setattr__(self, 'axes', axes)
         object.__setattr__(self, 'title', title)
@@ -3937,31 +3937,28 @@ def nonzero(self):
         #  can do a[a.nonzero()]
         return self.data.nonzero()
 
-    def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
+    def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
         """
-        Returns an array with one or several axes replaced.
+        Replace one, several or all axes of the array.
 
         Parameters
         ----------
-        axes_to_replace : axis ref or dict {axis ref: axis} or
-                  list of tuple (axis ref, axis) or list of Axis or
-                  AxisCollection
-            Axes to replace. If a single axis reference is given,
-            the `new_axes` argument must be used. If a list of
-            Axis or an AxisCollection is given, all axes will be
-            replaced by the new ones. In that case, the number of
-            new axes must match the number of the old ones.
+        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+                          or list of Axis or AxisCollection
+            Axes to replace. If a single axis reference is given, the `new_axiss` argument must be provided.
+            If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
+            In that case, the number of new axes must match the number of the old ones.
         new_axis : Axis
-            New axis if `axes_to_replace`
-            contains a single axis reference.
+            New axis if `axes_to_replace` contains a single axis reference.
+        inplace : bool
+            Whether or not to modify the original object or return a new array and leave the original intact.
         **kwargs : Axis
-            New axis for each axis to replace given
-            as a keyword argument.
+            New axis for each axis to replace given as a keyword argument.
 
         Returns
         -------
         LArray
-            Array with some axes replaced.
+            Array with axes replaced.
 
         See Also
         --------
@@ -3976,28 +3973,37 @@ def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
          a1 |  3 |  4 |  5
         >>> row = Axis('row', ['r0', 'r1'])
         >>> column = Axis('column', ['c0', 'c1', 'c2'])
-        >>> arr.replace_axes(x.a, row)
+
+        Replace one axis (second argument `new_axis` must be provided)
+
+        >>> arr.set_axes(x.a, row)
         row\\b | b0 | b1 | b2
            r0 |  0 |  1 |  2
            r1 |  3 |  4 |  5
-        >>> arr.replace_axes([row, column])
+
+        Replace several axes (keywords, list of tuple or dictionary)
+
+        >>> arr.set_axes(a=row, b=column)
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
-        >>> arr.replace_axes(a=row, b=column)
+        >>> arr.set_axes([(x.a, row), (x.b, column)])
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
-        >>> arr.replace_axes([(x.a, row), (x.b, column)])
+        >>> arr.set_axes({x.a: row, x.b: column})
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
-        >>> arr.replace_axes({x.a: row, x.b: column})
+
+        Replace all axes (list of axes or AxisCollection)
+
+        >>> arr.set_axes([row, column])
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         >>> arr2 = ndrange([row, column])
-        >>> arr.replace_axes(arr2.axes)
+        >>> arr.set_axes(arr2.axes)
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
@@ -4021,13 +4027,17 @@ def replace_axes(self, axes_to_replace=None, new_axis=None, **kwargs):
             items += kwargs.items()
             for old, new in items:
                 axes = axes.replace(old, new)
-        return LArray(self.data, axes, title=self.title)
+        if inplace:
+            object.__setattr__(self, 'axes', axes)
+            return self
+        else:
+            return LArray(self.data, axes, title=self.title)
 
     def with_axes(self, axes):
         warnings.warn("LArray.with_axes is deprecated, "
                       "use LArray.replace_axes instead",
                       DeprecationWarning)
-        return self.replace_axes(axes)
+        return self.set_axes(axes)
 
     def __getattr__(self, key):
         try:
@@ -4271,28 +4281,27 @@ def __bool__(self):
     # Python 2
     __nonzero__= __bool__
 
-    def rename(self, renames=None, to=None, **kwargs):
-        """Renames some array axes.
+    def rename(self, renames=None, to=None, inplace=False, **kwargs):
+        """Renames axes of the array.
 
         Parameters
         ----------
         renames : axis ref or dict {axis ref: str} or
                   list of tuple (axis ref, str)
-            Renames to apply. If a single axis reference
-            is given, the `to` argument must be used.
-        to : str or Axis
-            New name if `renames` contains a single axis reference
-        **kwargs : str
+            Renames to apply. If a single axis reference is given, the `to` argument must be used.
+        to : string or Axis
+            New name if `renames` contains a single axis reference.
+        **kwargs :
             New name for each axis given as a keyword argument.
 
         Returns
         -------
         LArray
-            Array with some axes renamed.
+            Array with axes renamed.
 
         See Also
         --------
-        replace_axes : replace one or several axes
+        set_axes : replace one or several axes
 
         Examples
         --------
@@ -4332,7 +4341,11 @@ def rename(self, renames=None, to=None, **kwargs):
         renames = {self.axes[k]: v for k, v in items}
         axes = [a.rename(renames[a]) if a in renames else a
                 for a in self.axes]
-        return LArray(self.data, axes)
+        if inplace:
+            object.__setattr__(self, 'axes', AxisCollection(axes))
+            return self
+        else:
+            return LArray(self.data, axes)
 
     def sort_values(self, key):
         """Sorts values of the array.
@@ -8657,13 +8670,12 @@ def set_labels(self, axis, labels, inplace=False):
 
         Parameters
         ----------
-        axis
+        axis : string or Axis
             Axis for which we want to replace the labels.
-        labels : list of axis labels
-            New labels.
+        labels : int or iterable
+            Integer or list of values usable as the collection of labels for an Axis.
         inplace : bool
-            Whether or not to modify the original object or return a new
-            array and leave the original intact.
+            Whether or not to modify the original object or return a new array and leave the original intact.
 
         Returns
         -------
@@ -8677,6 +8689,10 @@ def set_labels(self, axis, labels, inplace=False):
         nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
+        >>> a.set_labels(x.sex, 'Men,Women')
+        nat\\sex | Men | Women
+             BE |   0 |     1
+             FO |   2 |     3
         >>> a.set_labels(x.sex, ['Men', 'Women'])
         nat\\sex | Men | Women
              BE |   0 |     1
@@ -8687,8 +8703,7 @@ def set_labels(self, axis, labels, inplace=False):
             axis.labels = labels
             return self
         else:
-            return LArray(self.data,
-                          self.axes.replace(axis, Axis(axis.name, labels)))
+            return LArray(self.data, self.axes.replace(axis, Axis(axis.name, labels)))
 
     def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
         return LArray(self.data.astype(dtype, order, casting, subok, copy),
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 1cba2ed46..6946bc261 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2847,7 +2847,7 @@ def test_replace_axes(self):
         la = LArray(self.small_data, axes=(self.sex, lipro2),
                     title=self.small_title)
         # replace one axis
-        la2 = self.small.replace_axes(x.lipro, lipro2)
+        la2 = self.small.set_axes(x.lipro, lipro2)
         assert_array_equal(la, la2)
         self.assertEqual(la.title, la2.title, "title of array returned by "
                                               "replace_axes should be the same as the original one. "
@@ -2856,16 +2856,16 @@ def test_replace_axes(self):
         la = LArray(self.small_data, axes=(sex2, lipro2),
                     title=self.small_title)
         # all at once
-        la2 = self.small.replace_axes([sex2, lipro2])
+        la2 = self.small.set_axes([sex2, lipro2])
         assert_array_equal(la, la2)
         # using keywrods args
-        la2 = self.small.replace_axes(sex=sex2, lipro=lipro2)
+        la2 = self.small.set_axes(sex=sex2, lipro=lipro2)
         assert_array_equal(la, la2)
         # using dict
-        la2 = self.small.replace_axes({x.sex: sex2, x.lipro: lipro2})
+        la2 = self.small.set_axes({x.sex: sex2, x.lipro: lipro2})
         assert_array_equal(la, la2)
         # using list of pairs (axis_to_replace, new_axis)
-        la2 = self.small.replace_axes([(x.sex, sex2), (x.lipro, lipro2)])
+        la2 = self.small.set_axes([(x.sex, sex2), (x.lipro, lipro2)])
         assert_array_equal(la, la2)
 
     def test_append(self):
@@ -3618,7 +3618,7 @@ def test_matmul(self):
         f = Axis('f', 'f0,f1')
 
         # 4D(a, b, c, d) @ 3D(e, d, f) -> 5D(a, b, e, c, f)
-        arr3d = arr3d.replace_axes([e, d, f])
+        arr3d = arr3d.set_axes([e, d, f])
         res = from_lists([['a', 'b', 'e', 'c\\f', 'f0', 'f1'],
                           ['a0', 'b0', 'e0', 'c0', 2, 3],
                           ['a0', 'b0', 'e0', 'c1', 6, 11],
@@ -3659,7 +3659,7 @@ def test_matmul(self):
         assert_array_equal(arr3d.__matmul__(arr4d), res)
 
         # 4D(a, b, c, d) @ 3D(b, d, f) -> 4D(a, b, c, f)
-        arr3d = arr3d.replace_axes([b, d, f])
+        arr3d = arr3d.set_axes([b, d, f])
         res = from_lists([['a', 'b', 'c\\f', 'f0', 'f1'],
                           ['a0', 'b0', 'c0', 2, 3],
                           ['a0', 'b0', 'c1', 6, 11],
@@ -3684,7 +3684,7 @@ def test_matmul(self):
         assert_array_equal(arr3d.__matmul__(arr4d), res)
 
         # 4D(a, b, c, d) @ 2D(d, f) -> 5D(a, b, c, f)
-        arr2d = arr2d.replace_axes([d, f])
+        arr2d = arr2d.set_axes([d, f])
         res = from_lists([['a', 'b', 'c\\f', 'f0', 'f1'],
                           ['a0', 'b0', 'c0', 2, 3],
                           ['a0', 'b0', 'c1', 6, 11],

From f0fa4aa7d98330310e9c72e21645f0253ffd86e7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 13 Mar 2017 12:42:11 +0100
Subject: [PATCH 388/899] Add change log for version 0.21

---
 doc/source/changes/version_0_21.rst.inc | 120 ++++++++++++++++++++++++
 larray/core.py                          |  14 +--
 2 files changed, 125 insertions(+), 9 deletions(-)
 create mode 100644 doc/source/changes/version_0_21.rst.inc

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
new file mode 100644
index 000000000..c374de20b
--- /dev/null
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -0,0 +1,120 @@
+New features
+------------
+
+* implemented set_axes() method to replace one, several or all axes of an array (closes :issue:`67`).
+  The method with_axes() is now deprecated (set_axes() must be used instead).
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> row = Axis('row', ['r0', 'r1'])
+    >>> column = Axis('column', ['c0', 'c1', 'c2'])
+
+    Replace one axis (second argument `new_axis` must be provided)
+
+    >>> arr.set_axes(x.a, row)
+    row\\b | b0 | b1 | b2
+       r0 |  0 |  1 |  2
+       r1 |  3 |  4 |  5
+
+    Replace several axes (keywords, list of tuple or dictionary)
+
+    >>> arr.set_axes(a=row, b=column)
+    or
+    >>> arr.set_axes([(x.a, row), (x.b, column)])
+    or
+    >>> arr.set_axes({x.a: row, x.b: column})
+    row\\column | c0 | c1 | c2
+            r0 |  0 |  1 |  2
+            r1 |  3 |  4 |  5
+
+    Replace all axes (list of axes or AxisCollection)
+
+    >>> arr.set_axes([row, column])
+    row\\column | c0 | c1 | c2
+            r0 |  0 |  1 |  2
+            r1 |  3 |  4 |  5
+    >>> arr2 = ndrange([row, column])
+    >>> arr.set_axes(arr2.axes)
+    row\\column | c0 | c1 | c2
+            r0 |  0 |  1 |  2
+            r1 |  3 |  4 |  5
+
+* implemented from_string() method to create an array from a string:
+
+    >>> from_string('''age,nat\\sex, M, F
+    ...                0,  BE,       0, 1
+    ...                0,  FO,       2, 3
+    ...                1,  BE,       4, 5
+    ...                1,  FO,       6, 7''')
+    age | nat\sex | M | F
+      0 |      BE | 0 | 1
+      0 |      FO | 2 | 3
+      1 |      BE | 4 | 5
+      1 |      FO | 6 | 7
+
+* allowed to use a regular expression in split_axis method (closes :issue:`106`):
+
+    >>> combined = ndrange('a_b = a0b0..a1b2')
+    >>> combined
+        a_b | a0b0 | a0b1 | a0b2 | a1b0 | a1b1 | a1b2
+            |    0 |    1 |    2 |    3 |    4 |    5
+    >>> combined.split_axis(x.a_b, regex='(\w{2})(\w{2})')
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 |  2
+         a1 |  3 |  4 |
+
+* allowed the syntax axis[groups]:
+
+    >>> groups = year[2001:2004], year[2008,2009]
+    >>> groups
+    (year[2001:2004], year[2008, 2009])
+    >>> x.time[groups]
+    (x.time[2001:2004], x.time[2008, 2009])
+
+Miscellaneous improvements
+--------------------------
+
+* added installation instructions (closes :issue:`101`).
+
+* viewer : make shortcuts work even when the focus is not on the array editor widget
+  (ie it is on the array list, or on the interactive console) (closes :issue:`102`).
+
+* allowed matrix multiplication (@ operator) between arrays with dimension != 2 (closes :issue:`122`).
+
+* viewer : automatically display plots done in the viewer console in a separate window
+  (unless "%matplotlib inline" is used). Plots can be done via the array widget
+  (using shortcut CTRL+P or right click) or from the console:
+
+    >>> arr = ndtest((3, 3))
+    >>> arr.plot()
+
+  Now both methods generate a plot in separate window.
+
+* improved LArray.plot to get nicer plots by default.
+  The axes are transposed compared to what they used to, because the last axis is often used for time series.
+  Also it considers a 1D array like a single series, not N series of 1 point.
+
+* Axis.group is now deprecated (Syntax "age[10:19] >> 'teens'" must be used instead)
+  (closes :issue:`148`).
+
+Fixes
+-----
+
+* viewer: allow changing the number of displayed digits even for integer arrays as that makes sense when using
+  scientific notation (closes :issue:`100`).
+
+* viewer : fixed opening a viewer via view() edit() or compare() from within the viewer
+  (closes :issue:`109`)
+
+* viewer : fixed compare() colors when arrays have values which are very close but not exactly equal
+  (closes :issue:`123`)
+
+* viewer : fixed legend when plotting arbitrary rows (it always displayed the labels of the first rows)
+  (closes :issue:`136`).
+
+* fixed posargsort labels (closes :issue:`137`).
+
+* viewer : fixed xticklabels when zooming on a plot (closes :issue:`143`)
\ No newline at end of file
diff --git a/larray/core.py b/larray/core.py
index 003a97009..c0b05a375 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3945,7 +3945,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         ----------
         axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
                           or list of Axis or AxisCollection
-            Axes to replace. If a single axis reference is given, the `new_axiss` argument must be provided.
+            Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
             In that case, the number of new axes must match the number of the old ones.
         new_axis : Axis
@@ -3983,14 +3983,10 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
 
         Replace several axes (keywords, list of tuple or dictionary)
 
-        >>> arr.set_axes(a=row, b=column)
-        row\\column | c0 | c1 | c2
-                r0 |  0 |  1 |  2
-                r1 |  3 |  4 |  5
-        >>> arr.set_axes([(x.a, row), (x.b, column)])
-        row\\column | c0 | c1 | c2
-                r0 |  0 |  1 |  2
-                r1 |  3 |  4 |  5
+        >>> arr.set_axes(a=row, b=column) # doctest: +SKIP
+        >>> # or
+        >>> arr.set_axes([(x.a, row), (x.b, column)]) # doctest: +SKIP
+        >>> # or
         >>> arr.set_axes({x.a: row, x.b: column})
         row\\column | c0 | c1 | c2
                 r0 |  0 |  1 |  2

From 3444e8d58fd66865ba0214f14009df55c7cbafe6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 10 Mar 2017 10:01:33 +0100
Subject: [PATCH 389/899] fix #143 : xticklabels are correct when zooming (need
 to set both xticks and xticklabels)

---
 larray/viewer.py | 26 ++++++++++++++------------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 3b47648fa..f573cfc09 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1211,8 +1211,8 @@ def plot(self):
 
         row_min, row_max, col_min, col_max = self._selection_bounds()
         dim_names = self.model().xlabels[0]
-        xlabels = self.model().xlabels
-        ylabels = self.model().ylabels
+        xlabels = self.model().xlabels[1][col_min:col_max]
+        ylabels = self.model().ylabels[1:][row_min:row_max]
 
         assert data.ndim == 2
 
@@ -1224,27 +1224,29 @@ def plot(self):
         if data.shape[1] == 1:
             # plot one column
             xlabel = ','.join(dim_names[:-1])
-            xticklabels = ['\n'.join([str(ylabels[j][r]) for j in range(1, len(ylabels))])
-                           for r in range(row_min, row_max)]
-            ax.plot(data[:, 0])
-            ax.set_ylabel(xlabels[1][col_min])
+            xticklabels = ['\n'.join([str(ylabels[c][r]) for c in range(len(ylabels))])
+                           for r in range(row_max - row_min)]
+            xdata = np.arange(row_max - row_min, dtype=int)
+            ax.plot(xdata, data[:, 0])
+            ax.set_ylabel(xlabels[0])
         else:
             # plot each row as a line
             xlabel = dim_names[-1]
-            xticklabels = [str(xlabels[1][c]) for c in range(col_min, col_max)]
+            xticklabels = [str(label) for label in xlabels]
+            xdata = np.arange(col_max - col_min, dtype=int)
             for row in range(len(data)):
-                label = ','.join([str(ylabels[j][row_min + row])
-                                  for j in range(1, len(ylabels))])
-                ax.plot(data[row], label=label)
+                label = ','.join([str(label) for label in ylabels[row]])
+                ax.plot(xdata, data[row], label=label)
 
         # set x axis
         ax.set_xlabel(xlabel)
-        ax.set_xlim(0, len(xticklabels) - 1)
+        ax.set_xlim((xdata[0], xdata[-1]))
         # we need to do that because matplotlib is smart enough to
         # not show all ticks but a selection. However, that selection
         # may include ticks outside the range of x axis
         xticks = [t for t in ax.get_xticks().astype(int) if t <= len(xticklabels) - 1]
-        xticklabels = [xticklabels[j] for j in xticks]
+        xticklabels = [xticklabels[t] for t in xticks]
+        ax.set_xticks(xticks)
         ax.set_xticklabels(xticklabels)
 
         if data.shape[1] != 1:

From 57eb982d6104f1e45606d7c2a5ef47fd8b2bbebe Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 15 Mar 2017 10:22:46 +0100
Subject: [PATCH 390/899] deprecated Axis.group and Axis.all (closes #148)

---
 doc/source/changes/version_0_21.rst.inc |   3 +-
 larray/core.py                          |  80 +++++-----
 larray/tests/test_la.py                 | 189 ++++++++++--------------
 3 files changed, 123 insertions(+), 149 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index c374de20b..b375f3cc1 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -97,7 +97,8 @@ Miscellaneous improvements
   The axes are transposed compared to what they used to, because the last axis is often used for time series.
   Also it considers a 1D array like a single series, not N series of 1 point.
 
-* Axis.group is now deprecated (Syntax "age[10:19] >> 'teens'" must be used instead)
+* Axis.group and Axis.all are now deprecated
+  (Syntax "age[10:19] >> 'teens'" or "age[:] >> 'all'" must be used instead)
   (closes :issue:`148`).
 
 Fixes
diff --git a/larray/core.py b/larray/core.py
index c0b05a375..d946182c2 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1046,10 +1046,9 @@ def extend(self, labels):
     def iswildcard(self):
         return self._iswildcard
 
-    # XXX: not sure I should offer an *args version
-    def group(self, *args, **kwargs):
+    def _group(self, *args, **kwargs):
         """
-        Returns a group (list or unique element) of label(s) usable in .sum or .filter
+        Deprecated.
 
         Parameters
         ----------
@@ -1058,48 +1057,26 @@ def group(self, *args, **kwargs):
         **kwargs
             name of the group. There is no other accepted keywords.
 
-        Returns
-        -------
-        LGroup
-            group containing selected label(s).
-
-        Notes
-        -----
-        key is label-based (slice and fancy indexing are supported)
-
-        See Also
-        --------
-        LGroup
-
         Examples
         --------
         >>> time = Axis('time', [2007, 2008, 2009, 2010])
-        >>> odd_years = time.group([2007, 2009], name='odd_years')
+        >>> odd_years = time._group([2007, 2009], name='odd_years')
         >>> odd_years
         time[2007, 2009] >> 'odd_years'
         """
         name = kwargs.pop('name', None)
         if kwargs:
-            raise ValueError("invalid keyword argument(s): %s"
-                             % list(kwargs.keys()))
+            raise ValueError("invalid keyword argument(s): %s" % list(kwargs.keys()))
         key = args[0] if len(args) == 1 else args
-        if isinstance(key, basestring):
-            key = to_keys(key)
+        return self[key] >> name if name else self[key]
 
-        if isinstance(key, (tuple, list)):
-            if any(isinstance(k, Group) for k in key):
-                k0 = key[0]
-                assert isinstance(k0, Group)
-                cls_ = k0.__class__
-                assert all(isinstance(k, cls_) for k in key[1:])
-                res = [k.with_axis(self) for k in key]
-                res = tuple(res) if isinstance(key, tuple) else res
-                return res
-
-        if isinstance(key, Group):
-            name = name if name is not None else key.name
-            return key.__class__(key.key, name, self)
-        return LGroup(key, name, self)
+    def group(self,  *args, **kwargs):
+        group_name = kwargs.pop('name', None)
+        key = args[0] if len(args) == 1 else args
+        syntax = '{}[{}]'.format(self.name if self.name else 'axis', key)
+        if group_name is not None:
+            syntax += ' >> {}'.format(repr(group_name))
+        raise NotImplementedError('Axis.group is deprecated. Use {} instead.'.format(syntax))
 
     def all(self, name=None):
         """
@@ -1114,7 +1091,10 @@ def all(self, name=None):
         --------
         Axis.group
         """
-        return self.group(slice(None), name=name if name is not None else "all")
+        axis_name = self.name if self.name else 'axis'
+        group_name = name if name else 'all'
+        raise NotImplementedError('Axis.all is deprecated. '
+                                  'Use {}[:] >> {} instead.'.format(axis_name, repr(group_name)))
 
     def subaxis(self, key, name=None):
         """
@@ -1333,9 +1313,35 @@ def __iter__(self):
 
     def __getitem__(self, key):
         """
+        Returns a group (list or unique element) of label(s) usable in .sum or .filter
+
         key is a label-based key (slice and fancy indexing are supported)
+
+        Returns
+        -------
+        Group
+            group containing selected label(s)/position(s).
+
+        Notes
+        -----
+        key is label-based (slice and fancy indexing are supported)
         """
-        return self.group(key)
+        if isinstance(key, basestring):
+            key = to_keys(key)
+
+        if isinstance(key, (tuple, list)):
+            if any(isinstance(k, Group) for k in key):
+                k0 = key[0]
+                assert isinstance(k0, Group)
+                cls_ = k0.__class__
+                assert all(isinstance(k, cls_) for k in key[1:])
+                res = [k.with_axis(self) for k in key]
+                res = tuple(res) if isinstance(key, tuple) else res
+                return res
+
+        if isinstance(key, Group):
+            return key.__class__(key.key, key.name, self)
+        return LGroup(key, axis=self)
 
     def __contains__(self, key):
         return _to_tick(key) in self._mapping
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 6946bc261..6e3df184e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -142,19 +142,25 @@ def test_equals(self):
         self.assertFalse(Axis('sex1', 'M,F').equals(Axis('sex2', 'M,F')))
         self.assertFalse(Axis('sex1', 'M,W').equals(Axis('sex2', 'M,F')))
 
-    def test_group(self):
+    def test_getitem(self):
         age = Axis('age', '..115')
         ages_list = [1, 5, 9]
-        self.assertEqual(age.group(ages_list), LGroup(ages_list, axis=age))
-        self.assertEqual(age.group(ages_list), LGroup(ages_list))
-        self.assertEqual(age.group('1,5,9'), LGroup(ages_list))
-        self.assertEqual(age.group(1, 5, 9), LGroup(ages_list))
+        self.assertEqual(age[ages_list], LGroup(ages_list, axis=age))
+        self.assertEqual(age[ages_list], LGroup(ages_list))
+        self.assertEqual(age['1,5,9'], LGroup(ages_list))
+        self.assertEqual(age[1, 5, 9], LGroup(ages_list))
 
         # with a slice string
-        self.assertEqual(age.group('10:20'), LGroup(slice(10, 20)))
+        self.assertEqual(age['10:20'], LGroup(slice(10, 20)))
+
+        # all labels
+        age = Axis('age', '..115')
+        group = age[:] >> 'all'
+        self.assertEqual(group.key, slice(None))
+        self.assertIs(group.axis, age)
 
         # with name
-        group = age.group(ages_list, name='teens')
+        group = age[ages_list] >> 'teens'
         self.assertEqual(group.key, ages_list)
         self.assertEqual(group.name, 'teens')
         self.assertIs(group.axis, age)
@@ -168,28 +174,20 @@ def group_equal(g1, g2):
         ages = [1, 5, 9]
 
         val_only = LGroup(ages)
-        self.assertTrue(group_equal(age.group(val_only),
-                                    LGroup(ages, axis=age)))
-        self.assertTrue(group_equal(age.group(val_only, name='a_name'),
-                                    LGroup(ages, 'a_name', axis=age)))
+        self.assertTrue(group_equal(age[val_only], LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age[val_only] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
 
         val_name = LGroup(ages, 'val_name')
-        self.assertTrue(group_equal(age.group(val_name),
-                                    LGroup(ages, 'val_name', age)))
-        self.assertTrue(group_equal(age.group(val_name, name='a_name'),
-                                    LGroup(ages, 'a_name', age)))
+        self.assertTrue(group_equal(age[val_name], LGroup(ages, 'val_name', age)))
+        self.assertTrue(group_equal(age[val_name] >> 'a_name', LGroup(ages, 'a_name', age)))
 
         val_axis = LGroup(ages, axis=age)
-        self.assertTrue(group_equal(age.group(val_axis),
-                                    LGroup(ages, axis=age)))
-        self.assertTrue(group_equal(age.group(val_axis, name='a_name'),
-                                    LGroup(ages, 'a_name', axis=age)))
+        self.assertTrue(group_equal(age[val_axis], LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age[val_axis] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
 
         val_axis_name = LGroup(ages, 'val_axis_name', age)
-        self.assertTrue(group_equal(age.group(val_axis_name),
-                                    LGroup(ages, 'val_axis_name', age)))
-        self.assertTrue(group_equal(age.group(val_axis_name, name='a_name'),
-                                    LGroup(ages, 'a_name', age)))
+        self.assertTrue(group_equal(age[val_axis_name], LGroup(ages, 'val_axis_name', age)))
+        self.assertTrue(group_equal(age[val_axis_name] >> 'a_name', LGroup(ages, 'a_name', age)))
 
     def test_init_from_group(self):
         code = Axis('code', 'C01..C03')
@@ -203,21 +201,6 @@ def test_match(self):
         self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
         self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
 
-    def test_getitem(self):
-        age = Axis('age', '0..10')
-        lg = age.group(':3')
-        # these are equivalent
-        # self.assertEqual(age[:'17'], lg)
-        group = age[':3']
-        self.assertEqual(group.key, slice(None, 3, None))
-        self.assertTrue(group.axis.equals(age))
-        self.assertEqual(group, lg, "%r != %r" % (group, lg))
-        # self.assertEqual(age[':7'], lg)
-
-        group = age[:]
-        self.assertEqual(group.key, slice(None))
-        self.assertIs(group.axis, age)
-
     def test_iter(self):
         sex = Axis('sex', 'M,F')
         self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
@@ -231,19 +214,13 @@ def test_positional(self):
         self.assertEqual(key.key, slice(None, -1))
         self.assertIs(key.axis, age)
 
-    def test_all(self):
-        age = Axis('age', '..115')
-        group = age.all()
-        self.assertEqual(group.key, slice(None))
-        self.assertIs(group.axis, age)
-
     def test_contains(self):
         # normal Axis
         age = Axis('age', '..10')
 
-        age2 = age.group(2)
-        age2bis = age.group((2,))
-        age2ter = age.group([2])
+        age2 = age[2]
+        age2bis = age[(2,)]
+        age2ter = age[[2]]
         age2qua = '2,'
 
         age20 = LGroup('20')
@@ -254,10 +231,10 @@ def test_contains(self):
         # TODO: move assert to another test
         # self.assertEqual(age2bis, age2ter)
 
-        age247 = age.group('2,4,7')
-        age247bis = age.group(['2', '4', '7'])
-        age359 = age.group(['3', '5', '9'])
-        age468 = age.group('4,6,8', name='even')
+        age247 = age['2,4,7']
+        age247bis = age[['2', '4', '7']]
+        age359 = age[['3', '5', '9']]
+        age468 = age['4,6,8'] >> 'even'
 
         self.assertTrue(5 in age)
         self.assertFalse('5' in age)
@@ -283,8 +260,7 @@ def test_contains(self):
         # aggregated Axis
         # FIXME: _to_tick(age2) == 2, but then np.asarray([2, '2,4,7', ...]) returns np.array(['2', '2,4,7'])
         # instead of returning an object array
-        agg = Axis("agg", (age2, age247, age359, age468,
-                           '2,6', ['3', '5', '7'], ('6', '7', '9')))
+        agg = Axis("agg", (age2, age247, age359, age468, '2,6', ['3', '5', '7'], ('6', '7', '9')))
         # fails because of above FIXME
         # self.assertTrue(age2 in agg)
         self.assertFalse(age2bis in agg)
@@ -308,18 +284,18 @@ def test_contains(self):
 
         self.assertTrue('2,6' in agg)
         self.assertTrue(['2', '6'] in agg)
-        self.assertTrue(age.group('2,6') in agg)
-        self.assertTrue(age.group(['2', '6']) in agg)
+        self.assertTrue(age['2,6'] in agg)
+        self.assertTrue(age[['2', '6']] in agg)
 
         self.assertTrue('3,5,7' in agg)
         self.assertTrue(['3', '5', '7'] in agg)
-        self.assertTrue(age.group('3,5,7') in agg)
-        self.assertTrue(age.group(['3', '5', '7']) in agg)
+        self.assertTrue(age['3,5,7'] in agg)
+        self.assertTrue(age[['3', '5', '7']] in agg)
 
         self.assertTrue('6,7,9' in agg)
         self.assertTrue(['6', '7', '9'] in agg)
-        self.assertTrue(age.group('6,7,9') in agg)
-        self.assertTrue(age.group(['6', '7', '9']) in agg)
+        self.assertTrue(age['6,7,9'] in agg)
+        self.assertTrue(age[['6', '7', '9']] in agg)
 
         self.assertFalse(5 in agg)
         self.assertFalse('5' in agg)
@@ -329,8 +305,8 @@ def test_contains(self):
         self.assertFalse(age20qua in agg)
         self.assertFalse('2,7' in agg)
         self.assertFalse(['2', '7'] in agg)
-        self.assertFalse(age.group('2,7') in agg)
-        self.assertFalse(age.group(['2', '7']) in agg)
+        self.assertFalse(age['2,7'] in agg)
+        self.assertFalse(age[['2', '7']] in agg)
 
 
 class TestLGroup(TestCase):
@@ -1562,7 +1538,7 @@ def test_set(self):
         age, geo, sex, lipro = self.larray.axes
 
         # 1) using a LGroup key
-        ages1_5_9 = age.group([1, 5, 9])
+        ages1_5_9 = age[[1, 5, 9]]
 
         # a) value has exactly the same shape as the target slice
         la = self.larray.copy()
@@ -1610,8 +1586,8 @@ def test_filter(self):
         la = self.larray
         age, geo, sex, lipro = la.axes
 
-        ages1_5_9 = age.group(1, 5, 9)
-        ages11 = age.group(11)
+        ages1_5_9 = age[(1, 5, 9)]
+        ages11 = age[11]
 
         # with LGroup
         self.assertEqual(la.filter(age=ages1_5_9).shape, (3, 44, 2, 15))
@@ -1623,11 +1599,10 @@ def test_filter(self):
         self.assertEqual(la.filter(age=ages11).shape, (44, 2, 15))
 
         # VG with a list of 1 value => do not collapse
-        self.assertEqual(la.filter(age=age.group([11])).shape, (1, 44, 2, 15))
+        self.assertEqual(la.filter(age=age[[11]]).shape, (1, 44, 2, 15))
 
         # VG with a list of 1 value defined as a string => do not collapse
-        self.assertEqual(la.filter(lipro=lipro.group('P01,')).shape,
-                         (116, 44, 2, 1))
+        self.assertEqual(la.filter(lipro=lipro['P01,']).shape, (116, 44, 2, 1))
 
         # VG with 1 value
         # XXX: this does not work. Do we want to make this work?
@@ -1841,11 +1816,10 @@ def test_group_agg_kwargs(self):
 
         self.assertEqual(la.sum(geo='A11,A21,A25').shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=['A11', 'A21', 'A25']).shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo=geo.group('A11,A21,A25')).shape,
-                         (116, 2, 15))
+        self.assertEqual(la.sum(geo=geo['A11,A21,A25']).shape, (116, 2, 15))
 
         self.assertEqual(la.sum(geo=':').shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo=geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo=geo[:]).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo=geo[':']).shape, (116, 2, 15))
         # Include everything between two labels. Since A11 is the first label
         # and A21 is the last one, this should be equivalent to the previous
@@ -1855,7 +1829,7 @@ def test_group_agg_kwargs(self):
         assert_array_equal(la.sum(geo=geo['A11:A21']), la.sum(geo=':'))
 
         # a.2) a tuple of one group => do not collapse dimension
-        self.assertEqual(la.sum(geo=(geo.all(),)).shape, (116, 1, 2, 15))
+        self.assertEqual(la.sum(geo=(geo[:],)).shape, (116, 1, 2, 15))
 
         # a.3) several groups
         # string groups
@@ -1870,15 +1844,12 @@ def test_group_agg_kwargs(self):
         self.assertEqual(aggregated.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        self.assertEqual(la.sum(lipro='P01,P03;P02,P05;:',
-                                geo=(vla, wal, bru, belgium)).shape,
-                         (116, 4, 2, 3))
+        self.assertEqual(la.sum(lipro='P01,P03;P02,P05;:', geo=(vla, wal, bru, belgium)).shape, (116, 4, 2, 3))
 
         # b) both axis aggregate and group aggregate at the same time
         # Note that you must list "full axes" aggregates first (Python does
         # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, geo=(vla, wal, bru, belgium)).shape,
-                         (4, 15))
+        self.assertEqual(la.sum(age, sex, geo=(vla, wal, bru, belgium)).shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
         reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
@@ -1912,7 +1883,7 @@ def test_group_agg_guess_axis(self):
         assert_array_equal(la.sum('A11:A21'), la.sum(geo))
 
         # a.2) a tuple of one group => do not collapse dimension
-        self.assertEqual(la.sum((geo.all(),)).shape, (116, 1, 2, 15))
+        self.assertEqual(la.sum((geo[:],)).shape, (116, 1, 2, 15))
 
         # a.3) several groups
         # string groups
@@ -1983,10 +1954,9 @@ def test_group_agg_label_group(self):
         self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo['A11', 'A21', 'A25']).shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo.group('A11,A21,A25')).shape,
-                         (116, 2, 15))
+        self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
 
-        self.assertEqual(la.sum(geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
 
@@ -2123,10 +2093,9 @@ def test_group_agg_axis_ref_label_group(self):
         self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[['A11', 'A21', 'A25']]).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo['A11', 'A21', 'A25']).shape, (116, 2, 15))
-        self.assertEqual(la.sum(geo.group('A11,A21,A25')).shape,
-                         (116, 2, 15))
+        self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
 
-        self.assertEqual(la.sum(geo.all()).shape, (116, 2, 15))
+        self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
 
@@ -2226,7 +2195,7 @@ def test_group_agg_on_group_agg(self):
         # this is currently allowed even though it can be confusing:
         # P01 and P02 are both groups with one element each.
         self.assertEqual(reg.sum(lipro=('P01', 'P02', ':')).shape, (4, 3))
-        self.assertEqual(reg.sum(lipro=('P01', 'P02', lipro.all())).shape,
+        self.assertEqual(reg.sum(lipro=('P01', 'P02', lipro[:])).shape,
                          (4, 3))
 
         # explicit groups are better
@@ -2267,7 +2236,7 @@ def test_group_agg_on_group_agg_nokw(self):
         # this is currently allowed even though it can be confusing:
         # P01 and P02 are both groups with one element each.
         self.assertEqual(reg.sum(('P01', 'P02', 'P01:')).shape, (4, 3))
-        self.assertEqual(reg.sum(('P01', 'P02', lipro.all())).shape,
+        self.assertEqual(reg.sum(('P01', 'P02', lipro[:])).shape,
                          (4, 3))
 
         # explicit groups are better
@@ -2300,7 +2269,7 @@ def test_getitem_on_group_agg(self):
         self.assertEqual(reg[vla]['P03'], 389049848.0)
 
         # using an anonymous LGroup
-        vla = self.geo.group(self.vla_str)
+        vla = self.geo[self.vla_str]
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2309,7 +2278,7 @@ def test_getitem_on_group_agg(self):
         self.assertEqual(reg[vla, :].shape, (15,))
 
         # using a named LGroup
-        vla = self.geo.group(self.vla_str, name='Vlaanderen')
+        vla = self.geo[self.vla_str] >> 'Vlaanderen'
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2337,7 +2306,7 @@ def test_getitem_on_group_agg_nokw(self):
         self.assertEqual(reg[vla]['P03'], 389049848.0)
 
         # using an anonymous LGroup
-        vla = self.geo.group(self.vla_str)
+        vla = self.geo[self.vla_str]
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2346,7 +2315,7 @@ def test_getitem_on_group_agg_nokw(self):
         self.assertEqual(reg[vla, :].shape, (15,))
 
         # using a named LGroup
-        vla = self.geo.group(self.vla_str, name='Vlaanderen')
+        vla = self.geo[self.vla_str] >> 'Vlaanderen'
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2366,10 +2335,10 @@ def test_filter_on_group_agg(self):
         vla = self.vla_str
         self.assertEqual(reg.filter(geo=vla).shape, (15,))
         # using an anonymous LGroup
-        vla = self.geo.group(self.vla_str)
+        vla = self.geo[self.vla_str]
         self.assertEqual(reg.filter(geo=vla).shape, (15,))
         # using a named LGroup
-        vla = self.geo.group(self.vla_str, name='Vlaanderen')
+        vla = self.geo[self.vla_str] >> 'Vlaanderen'
         self.assertEqual(reg.filter(geo=vla).shape, (15,))
 
         # Note that reg.filter(geo=(vla,)) does NOT work. It might be a
@@ -2444,9 +2413,9 @@ def test_filter_on_group_agg(self):
 
     def test_sum_several_vg_groups(self):
         la, geo = self.larray, self.geo
-        fla = geo.group(self.vla_str, name='Flanders')
-        wal = geo.group(self.wal_str, name='Wallonia')
-        bru = geo.group(self.bru_str, name='Brussels')
+        fla = geo[self.vla_str] >> 'Flanders'
+        wal = geo[self.wal_str] >> 'Wallonia'
+        bru = geo[self.bru_str] >> 'Brussels'
 
         reg = la.sum(geo=(fla, wal, bru))
         self.assertEqual(reg.shape, (116, 3, 2, 15))
@@ -2515,9 +2484,9 @@ def test_agg_by(self):
         self.assertEqual(res, la.sum(geo='A11,A21,A25').sum())
 
         # a.2) a tuple of one group
-        res = la.sum_by(geo=(geo.all(),))
+        res = la.sum_by(geo=(geo[:],))
         self.assertEqual(res.shape, (1,))
-        assert_array_equal(res, la.sum(age, sex, lipro, geo=(geo.all(),)))
+        assert_array_equal(res, la.sum(age, sex, lipro, geo=(geo[:],)))
 
         # a.3) several groups
         # string groups
@@ -2563,9 +2532,9 @@ def test_ratio(self):
         reg = la.sum(age, sex, regions)
         self.assertEqual(reg.shape, (4, 15))
 
-        fla = geo.group(self.vla_str, name='Flanders')
-        wal = geo.group(self.wal_str, name='Wallonia')
-        bru = geo.group(self.bru_str, name='Brussels')
+        fla = geo[self.vla_str] >> 'Flanders'
+        wal = geo[self.wal_str] >> 'Wallonia'
+        bru = geo[self.bru_str] >> 'Brussels'
         regions = (fla, wal, bru)
         reg = la.sum(age, sex, regions)
 
@@ -2590,9 +2559,9 @@ def test_percent(self):
         reg = la.sum(age, sex, regions)
         self.assertEqual(reg.shape, (4, 15))
 
-        fla = geo.group(self.vla_str, name='Flanders')
-        wal = geo.group(self.wal_str, name='Wallonia')
-        bru = geo.group(self.bru_str, name='Brussels')
+        fla = geo[self.vla_str] >> 'Flanders'
+        wal = geo[self.wal_str] >> 'Wallonia'
+        bru = geo[self.bru_str] >> 'Brussels'
         regions = (fla, wal, bru)
         reg = la.sum(age, sex, regions)
 
@@ -2620,15 +2589,13 @@ def test_total(self):
         self.assertEqual(la.with_total(lipro).shape, (116, 44, 2, 16))
         self.assertEqual(la.with_total(sex, lipro).shape, (116, 44, 3, 16))
 
-        fla = geo.group(self.vla_str, name='Flanders')
-        wal = geo.group(self.wal_str, name='Wallonia')
-        bru = geo.group(self.bru_str, name='Brussels')
-        bel = geo.all('Belgium')
+        fla = geo[self.vla_str] >> 'Flanders'
+        wal = geo[self.wal_str] >> 'Wallonia'
+        bru = geo[self.bru_str] >> 'Brussels'
+        bel = geo[:] >> 'Belgium'
 
-        self.assertEqual(la.with_total(geo=(fla, wal, bru), op=mean).shape,
-                         (116, 47, 2, 15))
-        self.assertEqual(la.with_total((fla, wal, bru), op=mean).shape,
-                         (116, 47, 2, 15))
+        self.assertEqual(la.with_total(geo=(fla, wal, bru), op=mean).shape, (116, 47, 2, 15))
+        self.assertEqual(la.with_total((fla, wal, bru), op=mean).shape, (116, 47, 2, 15))
         # works but "wrong" for x.geo (double what is expected because it
         # includes fla wal & bru)
         # TODO: we probably want to display a warning (or even an error?) in
@@ -2911,7 +2878,7 @@ def test_extend(self):
         la = la.extend(lipro, tail)
         self.assertEqual(la.shape, (2, 16))
         # test with a string axis
-        la = la.extend('sex', la.sum(sex=(sex.all(),)))
+        la = la.extend('sex', la.sum(sex=(sex[:],)))
         self.assertEqual(la.shape, (3, 16))
 
     def test_hdf_roundtrip(self):

From 3f56a051ce18ad1c88a90c96ccea082e6f645a74 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 17 Mar 2017 09:46:26 +0100
Subject: [PATCH 391/899] fix #162 : Update documentation of
 read_csv/tsc/eurostat

---
 larray/core.py | 30 +++++++++++++++---------------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index d946182c2..5f01be82d 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9248,7 +9248,7 @@ def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
     return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
 
 
-def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
+def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
              sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
     """
     Reads csv file and returns an array with the contents.
@@ -9265,8 +9265,8 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
 
     Parameters
     ----------
-    filepath : str
-        Path where the csv file has to be read.
+    filepath_or_buffer : str or any file-like object
+        Path where the csv file has to be read or a file handle.
     nb_index : int, optional
         Number of leading index columns (ex. 4).
     index_col : list, optional
@@ -9316,7 +9316,7 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
         # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
         # manipulating the dataframe because the header line must be ignored for the column types to be inferred
         # correctly. Note that to read one line, this is faster than using Pandas reader.
-        with csv_open(filepath) as f:
+        with csv_open(filepath_or_buffer) as f:
             reader = csv.reader(f, delimiter=sep)
             line_stream = skip_comment_cells(strip_rows(reader))
             axes_names = next(line_stream)
@@ -9340,7 +9340,7 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
         if index_col is None:
             index_col = [0]
 
-    df = pd.read_csv(filepath, index_col=index_col, sep=sep, **kwargs)
+    df = pd.read_csv(filepath_or_buffer, index_col=index_col, sep=sep, **kwargs)
     if dialect == 'liam2':
         if len(axes_names) > 1:
             df.index.names = axes_names[:-1]
@@ -9358,19 +9358,19 @@ def read_csv(filepath, nb_index=None, index_col=None, sep=',', headersep=None, n
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, raw=raw)
 
 
-def read_tsv(filepath, **kwargs):
-    return read_csv(filepath, sep='\t', **kwargs)
+def read_tsv(filepath_or_buffer, **kwargs):
+    return read_csv(filepath_or_buffer, sep='\t', **kwargs)
 
 
-def read_eurostat(filepath, **kwargs):
+def read_eurostat(filepath_or_buffer, **kwargs):
     """Reads EUROSTAT TSV (tab-separated) file into an array.
 
     EUROSTAT TSV files are special because they use tabs as data separators but comas to separate headers.
 
     Parameters
     ----------
-    filepath : str
-        Path to the file.
+    filepath_or_buffer : str or any file-like object
+        Path where the tsv file has to be read or a file handle.
     kwargs
         Arbitrary keyword arguments are passed through to read_csv.
 
@@ -9378,16 +9378,16 @@ def read_eurostat(filepath, **kwargs):
     -------
     LArray
     """
-    return read_csv(filepath, sep='\t', headersep=',', **kwargs)
+    return read_csv(filepath_or_buffer, sep='\t', headersep=',', **kwargs)
 
 
-def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+def read_hdf(filepath_or_buffer, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """Reads an array named key from a HDF5 file in filepath (path+name)
 
     Parameters
     ----------
-    filepath : str
-        Filepath and name where the HDF5 file is stored.
+    filepath_or_buffer : str or pandas.HDFStore
+        Path and name where the HDF5 file is stored or a HDFStore object.
     key : str
         Name of the array.
 
@@ -9395,7 +9395,7 @@ def read_hdf(filepath, key, na=np.nan, sort_rows=False, sort_columns=False, **kw
     -------
     LArray
     """
-    df = pd.read_hdf(filepath, key, **kwargs)
+    df = pd.read_hdf(filepath_or_buffer, key, **kwargs)
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, parse_header=False)
 
 

From 6072fa66fcb6d4efc88a7736fe28bef55e8e83df Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 17 Mar 2017 09:52:11 +0100
Subject: [PATCH 392/899] bump version to 0.21

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 larray/core.py               | 2 +-
 setup.py                     | 2 +-
 4 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 9d57bd63f..bc6f7c50b 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.20
+  version: 0.21
 
 source:
-  git_tag: 0.20
+  git_tag: 0.21
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/conf.py b/doc/source/conf.py
index fc1848a01..e29a3af8e 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -68,9 +68,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.20'
+version = '0.21'
 # The full version, including alpha/beta/rc tags.
-release = '0.20'
+release = '0.21'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 5f01be82d..9d320814a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.20"
+__version__ = "0.21"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
diff --git a/setup.py b/setup.py
index 288f7428d..6c6fba809 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.20'
+VERSION = '0.21'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 613a3bd791ef5491eb1ab787d78ee2120951fe79 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 20 Mar 2017 16:49:57 +0100
Subject: [PATCH 393/899] Update README file (larray_eurostat)

---
 README.rst | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/README.rst b/README.rst
index 0f9648ffa..2f7691e38 100644
--- a/README.rst
+++ b/README.rst
@@ -80,6 +80,9 @@ For IO (HDF, Excel)
   alternative package for writing data, formatting
   information and, in particular, charts in the
   Excel 2010 format (ie: .xlsx)
+- `larray_eurostat <https://github.com/larray-project/larray_eurostat>`__:
+  provides functions to easily download EUROSTAT files as larray objects.
+  Currently limited to TSV files.
 
 For Graphical User Interface
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~

From 7e12f8697cc8ce9565f58997b496224407ae8016 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 21 Mar 2017 17:35:17 +0100
Subject: [PATCH 394/899] add readthedocs.yml and environment.yml files
 (readthedocs does not allow to use numpydoc by default)

---
 doc/environment.yml | 10 ++++++++++
 readthedocs.yml     |  5 +++++
 2 files changed, 15 insertions(+)
 create mode 100644 doc/environment.yml
 create mode 100644 readthedocs.yml

diff --git a/doc/environment.yml b/doc/environment.yml
new file mode 100644
index 000000000..28327b5af
--- /dev/null
+++ b/doc/environment.yml
@@ -0,0 +1,10 @@
+name: larray-docs
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.5
+  - numpy
+  - pandas
+  - sphinx
+  - numpydoc
diff --git a/readthedocs.yml b/readthedocs.yml
new file mode 100644
index 000000000..0129abe15
--- /dev/null
+++ b/readthedocs.yml
@@ -0,0 +1,5 @@
+conda:
+    file: doc/environment.yml
+python:
+   version: 3
+   setup_py_install: true

From 5bd8a72d8b9b97996d39121bf2e73cf0dfdcfdcd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 22 Mar 2017 11:28:09 +0100
Subject: [PATCH 395/899] update api.rst and changes.rst

---
 doc/source/api.rst     | 114 ++++++++++++++++++++++++++---------------
 doc/source/changes.rst |   9 +++-
 2 files changed, 80 insertions(+), 43 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index eccb35e8f..b2a20bddc 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -1,11 +1,8 @@
 API Reference
-=============
-
-.. automodule:: larray
-   :members:
+*************
 
 Axis
-----
+====
 
 .. autoclass:: larray.Axis
    :members:
@@ -14,40 +11,37 @@ AxisCollection
 --------------
 
 .. autoclass:: larray.AxisCollection
-:members:
+   :members:
 
-LGroup
+Group & Set
+===========
+
+PGroup
 ------
 
-.. autoclass:: larray.LGroup
+.. autoclass:: larray.PGroup
    :members:
 
-LArray
+LGroup
 ------
 
-.. autoclass:: larray.LArray
+.. autoclass:: larray.LGroup
    :members:
 
-Session
--------
-
-.. autoclass:: larray.Session
-:members:
-
-Excel
------
+LSet
+----
 
-.. automodule:: larray.excel
-:members:
+.. autoclass:: larray.LSet
+   :members:
 
-.. autoclass:: larray.excel.Workbook
-:members:
+Array
+=====
 
-.. autoclass:: larray.excel.Sheet
-:members:
+LArray
+------
 
-.. autoclass:: larray.excel.Range
-:members:
+.. autoclass:: larray.LArray
+   :members:
 
 Array Creation Functions
 ------------------------
@@ -74,21 +68,6 @@ Array Creation Functions
 
 .. autofunction:: larray.full_like
 
-Read Functions
---------------
-
-.. autofunction:: larray.read_csv
-
-.. autofunction:: larray.read_eurostat
-
-.. autofunction:: larray.read_excel
-
-.. autofunction:: larray.read_hdf
-
-.. autofunction:: larray.read_tsv
-
-.. autofunction:: larray.read_sas
-
 Aggregation Functions
 ---------------------
 
@@ -120,8 +99,53 @@ Aggregation Functions
 
 .. autofunction:: larray.ptp
 
+Session
+=======
+
+.. autoclass:: larray.Session
+   :members:
+
+Viewer
+======
+
+.. automodule:: larray.viewer
+   :members:
+
+Input/Output
+============
+
+Excel
+-----
+
+.. automodule:: larray.excel
+   :members:
+
+.. autoclass:: larray.excel.Workbook
+   :members:
+
+.. autoclass:: larray.excel.Sheet
+   :members:
+
+.. autoclass:: larray.excel.Range
+   :members:
+
+Read Functions
+--------------
+
+.. autofunction:: larray.read_csv
+
+.. autofunction:: larray.read_eurostat
+
+.. autofunction:: larray.read_excel
+
+.. autofunction:: larray.read_hdf
+
+.. autofunction:: larray.read_tsv
+
+.. autofunction:: larray.read_sas
+
 Miscellaneous
--------------
+=============
 
 .. autofunction:: larray.aslarray
 
@@ -138,3 +162,9 @@ Miscellaneous
 .. autofunction:: larray.diag
 
 .. autofunction:: larray.eye
+
+Apply Iterative Proportional Fitting Procedure
+----------------------------------------------
+
+.. automodule:: larray.ipfp
+   :members:
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 80ce32b1b..5a6d4c499 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -6,4 +6,11 @@ Change log
 Version 0.1
 ===========
 
-Released on 2014-10-22.
\ No newline at end of file
+Released on 2014-10-22.
+
+Version 0.20
+============
+
+.. include:: ./changes/version_0_20.rst.inc
+
+

From c8b60e3204107597f37365b8b9b8723ab192ff16 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 23 Mar 2017 12:04:53 +0100
Subject: [PATCH 396/899] update api.rst

---
 doc/source/api.rst | 125 ++++++++++++++++++++++++++-------------------
 1 file changed, 72 insertions(+), 53 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index b2a20bddc..53734bd48 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -1,16 +1,19 @@
+#############
 API Reference
-*************
+#############
+
+.. currentmodule:: larray
 
 Axis
 ====
 
-.. autoclass:: larray.Axis
+.. autoclass:: Axis
    :members:
 
 AxisCollection
 --------------
 
-.. autoclass:: larray.AxisCollection
+.. autoclass:: AxisCollection
    :members:
 
 Group & Set
@@ -19,19 +22,19 @@ Group & Set
 PGroup
 ------
 
-.. autoclass:: larray.PGroup
+.. autoclass:: PGroup
    :members:
 
 LGroup
 ------
 
-.. autoclass:: larray.LGroup
+.. autoclass:: LGroup
    :members:
 
 LSet
 ----
 
-.. autoclass:: larray.LSet
+.. autoclass:: LSet
    :members:
 
 Array
@@ -40,75 +43,91 @@ Array
 LArray
 ------
 
-.. autoclass:: larray.LArray
+.. autoclass:: LArray
    :members:
 
 Array Creation Functions
 ------------------------
 
-.. autofunction:: larray.create_sequential
+.. autosummary::
+   :toctree: generated/
+
+   create_sequential
+   ndrange
+   ndtest
+   zeros
+   zeros_like
+   ones
+   ones_like
+   empty
+   empty_like
+   full
+   full_like
+
+
+.. autofunction:: create_sequential
 
-.. autofunction:: larray.ndrange
+.. autofunction:: ndrange
 
-.. autofunction:: larray.ndtest
+.. autofunction:: ndtest
 
-.. autofunction:: larray.zeros
+.. autofunction:: zeros
 
-.. autofunction:: larray.zeros_like
+.. autofunction:: zeros_like
 
-.. autofunction:: larray.ones
+.. autofunction:: ones
 
-.. autofunction:: larray.ones_like
+.. autofunction:: ones_like
 
-.. autofunction:: larray.empty
+.. autofunction:: empty
 
-.. autofunction:: larray.empty_like
+.. autofunction:: empty_like
 
-.. autofunction:: larray.full
+.. autofunction:: full
 
-.. autofunction:: larray.full_like
+.. autofunction:: full_like
 
 Aggregation Functions
 ---------------------
 
-.. autofunction:: larray.all
+.. autofunction:: all
 
-.. autofunction:: larray.any
+.. autofunction:: any
 
-.. autofunction:: larray.min
+.. autofunction:: min
 
-.. autofunction:: larray.max
+.. autofunction:: max
 
-.. autofunction:: larray.sum
+.. autofunction:: sum
 
-.. autofunction:: larray.prod
+.. autofunction:: prod
 
-.. autofunction:: larray.cumsum
+.. autofunction:: cumsum
 
-.. autofunction:: larray.cumprod
+.. autofunction:: cumprod
 
-.. autofunction:: larray.mean
+.. autofunction:: mean
 
-.. autofunction:: larray.median
+.. autofunction:: median
 
-.. autofunction:: larray.var
+.. autofunction:: var
 
-.. autofunction:: larray.std
+.. autofunction:: std
 
-.. autofunction:: larray.percentile
+.. autofunction:: percentile
 
-.. autofunction:: larray.ptp
+.. autofunction:: ptp
 
 Session
 =======
 
-.. autoclass:: larray.Session
+.. autoclass:: Session
    :members:
 
 Viewer
 ======
 
-.. automodule:: larray.viewer
+.. automodule:: viewer
    :members:
 
 Input/Output
@@ -117,54 +136,54 @@ Input/Output
 Excel
 -----
 
-.. automodule:: larray.excel
+.. automodule:: excel
    :members:
 
-.. autoclass:: larray.excel.Workbook
+.. autoclass:: excel.Workbook
    :members:
 
-.. autoclass:: larray.excel.Sheet
+.. autoclass:: excel.Sheet
    :members:
 
-.. autoclass:: larray.excel.Range
+.. autoclass:: excel.Range
    :members:
 
 Read Functions
 --------------
 
-.. autofunction:: larray.read_csv
+.. autofunction:: read_csv
 
-.. autofunction:: larray.read_eurostat
+.. autofunction:: read_eurostat
 
-.. autofunction:: larray.read_excel
+.. autofunction:: read_excel
 
-.. autofunction:: larray.read_hdf
+.. autofunction:: read_hdf
 
-.. autofunction:: larray.read_tsv
+.. autofunction:: read_tsv
 
-.. autofunction:: larray.read_sas
+.. autofunction:: read_sas
 
 Miscellaneous
 =============
 
-.. autofunction:: larray.aslarray
+.. autofunction:: aslarray
 
-.. autofunction:: larray.labels_array
+.. autofunction:: labels_array
 
-.. autofunction:: larray.larray_equal
+.. autofunction:: larray_equal
 
-.. autofunction:: larray.union
+.. autofunction:: union
 
-.. autofunction:: larray.stack
+.. autofunction:: stack
 
-.. autofunction:: larray.identity
+.. autofunction:: identity
 
-.. autofunction:: larray.diag
+.. autofunction:: diag
 
-.. autofunction:: larray.eye
+.. autofunction:: eye
 
 Apply Iterative Proportional Fitting Procedure
 ----------------------------------------------
 
-.. automodule:: larray.ipfp
+.. automodule:: ipfp
    :members:

From 71a49ae9b86d57346339931ed122a0c3f22d1480 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 23 Mar 2017 13:56:18 +0100
Subject: [PATCH 397/899] update api.rst & conf.py

---
 doc/source/api.rst | 150 +++++++++++++++------------------------------
 doc/source/conf.py |   5 ++
 larray/__init__.py |   1 +
 3 files changed, 56 insertions(+), 100 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 53734bd48..ab84e7c28 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -2,6 +2,7 @@
 API Reference
 #############
 
+.. see larray/__init__.py
 .. currentmodule:: larray
 
 Axis
@@ -50,7 +51,7 @@ Array Creation Functions
 ------------------------
 
 .. autosummary::
-   :toctree: generated/
+   :toctree: _generated/
 
    create_sequential
    ndrange
@@ -64,59 +65,26 @@ Array Creation Functions
    full
    full_like
 
-
-.. autofunction:: create_sequential
-
-.. autofunction:: ndrange
-
-.. autofunction:: ndtest
-
-.. autofunction:: zeros
-
-.. autofunction:: zeros_like
-
-.. autofunction:: ones
-
-.. autofunction:: ones_like
-
-.. autofunction:: empty
-
-.. autofunction:: empty_like
-
-.. autofunction:: full
-
-.. autofunction:: full_like
-
 Aggregation Functions
 ---------------------
 
-.. autofunction:: all
-
-.. autofunction:: any
-
-.. autofunction:: min
-
-.. autofunction:: max
-
-.. autofunction:: sum
-
-.. autofunction:: prod
-
-.. autofunction:: cumsum
-
-.. autofunction:: cumprod
-
-.. autofunction:: mean
-
-.. autofunction:: median
-
-.. autofunction:: var
-
-.. autofunction:: std
-
-.. autofunction:: percentile
-
-.. autofunction:: ptp
+.. autosummary::
+   :toctree: _generated/
+
+   all
+   any
+   min
+   max
+   sum
+   prod
+   cumsum
+   cumprod
+   mean
+   median
+   var
+   std
+   percentile
+   ptp
 
 Session
 =======
@@ -124,66 +92,48 @@ Session
 .. autoclass:: Session
    :members:
 
-Viewer
-======
-
-.. automodule:: viewer
-   :members:
-
 Input/Output
 ============
 
-Excel
------
-
-.. automodule:: excel
-   :members:
-
-.. autoclass:: excel.Workbook
-   :members:
-
-.. autoclass:: excel.Sheet
-   :members:
-
-.. autoclass:: excel.Range
-   :members:
+Read
+----
 
-Read Functions
---------------
+.. autosummary::
+   :toctree: _generated/
 
-.. autofunction:: read_csv
+   read_csv
+   read_tsv
+   read_excel
+   read_hdf
+   read_eurostat
+   read_sas
 
-.. autofunction:: read_eurostat
+Write
+-----
 
-.. autofunction:: read_excel
 
-.. autofunction:: read_hdf
+Viewer
+======
 
-.. autofunction:: read_tsv
+.. autosummary::
+   :toctree: _generated/
 
-.. autofunction:: read_sas
+   view
+   edit
+   compare
 
 Miscellaneous
 =============
 
-.. autofunction:: aslarray
-
-.. autofunction:: labels_array
-
-.. autofunction:: larray_equal
-
-.. autofunction:: union
-
-.. autofunction:: stack
-
-.. autofunction:: identity
-
-.. autofunction:: diag
-
-.. autofunction:: eye
-
-Apply Iterative Proportional Fitting Procedure
-----------------------------------------------
-
-.. automodule:: ipfp
-   :members:
+.. autosummary::
+   :toctree: _generated/
+
+   aslarray
+   labels_array
+   larray_equal
+   union
+   stack
+   identity
+   diag
+   eye
+   ipfp
diff --git a/doc/source/conf.py b/doc/source/conf.py
index e29a3af8e..818782f5e 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -42,6 +42,11 @@
 extlinks = {'issue': ('https://github.com/liam2/larray/issues/%s',
                       'issue ')}
 
+# scan all found documents for autosummary directives, and to generate stub pages for each.
+# The new files will be placed in the directories specified in the :toctree: options of the directives.
+autosummary_generate = True
+
+numpydoc_class_members_toctree = True
 # avoid pulling in base class (ndarray) methods
 numpydoc_show_class_members = False
 
diff --git a/larray/__init__.py b/larray/__init__.py
index 78044b055..d617d3f8c 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -4,6 +4,7 @@
 from larray.session import *
 from larray.ufuncs import *
 from larray.excel import open_excel
+from larray.ipfp import ipfp
 
 try:
     from larray.viewer import view, edit, compare

From 6048d0f77a6c4e192bc25f13356092051c1c4168 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 23 Mar 2017 15:15:46 +0100
Subject: [PATCH 398/899] update api.rst

---
 doc/source/api.rst | 132 +++++++++++++++++++++++++++++++++++++++------
 larray/core.py     |   6 +--
 2 files changed, 118 insertions(+), 20 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index ab84e7c28..f89c92bb9 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -8,35 +8,137 @@ API Reference
 Axis
 ====
 
-.. autoclass:: Axis
-   :members:
+.. autosummary::
+   :toctree: _generated/
 
-AxisCollection
---------------
+   Axis
+   Axis.name
+   Axis.labels
+   Axis.labels_summary
+   Axis.copy
 
-.. autoclass:: AxisCollection
-   :members:
+Searching
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Axis.translate
+   Axis.matches
+   Axis.startswith
+   Axis.endswith
+
+Modifying/Selecting/Searching
+-----------------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Axis.__getitem__
+   Axis.i
+   Axis.by
+   Axis.rename
+   Axis.subaxis
+   Axis.extend
 
-Group & Set
-===========
+Testing
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Axis.iscompatible
+   Axis.equals
+
+Group
+=====
 
 PGroup
 ------
 
-.. autoclass:: PGroup
-   :members:
+.. autosummary::
+   :toctree: _generated/
+
+   PGroup
+   Group.named
+   Group.with_axis
+   Group.by
+   PGroup.translate
 
 LGroup
 ------
 
-.. autoclass:: LGroup
-   :members:
+.. autosummary::
+   :toctree: _generated/
+
+   LGroup
+   Group.named
+   Group.with_axis
+   Group.by
+   LGroup.translate
 
 LSet
-----
+====
+
+.. autosummary::
+   :toctree: _generated/
+
+   LSet
+
+AxisCollection
+==============
+
+.. autosummary::
+   :toctree: _generated/
+
+   AxisCollection
+   AxisCollection.names
+   AxisCollection.display_names
+   AxisCollection.labels
+   AxisCollection.shape
+   AxisCollection.size
+   AxisCollection.info
+   AxisCollection.copy
+
+Searching
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
+   AxisCollection.keys
+   AxisCollection.index
+   AxisCollection.translate_full_key
+   AxisCollection.axis_id
+   AxisCollection.ids
+
+Modifying/Selecting
+-------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   AxisCollection.get
+   AxisCollection.get_by_pos
+   AxisCollection.get_all
+   AxisCollection.pop
+   AxisCollection.append
+   AxisCollection.extend
+   AxisCollection.insert
+   AxisCollection.replace
+   AxisCollection.without
+   AxisCollection.combine_axes
+   AxisCollection.split_axis
+
+Testing
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   AxisCollection.isaxis
+   AxisCollection.check_compatible
 
-.. autoclass:: LSet
-   :members:
 
 Array
 =====
diff --git a/larray/core.py b/larray/core.py
index 9d320814a..470b684d1 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1080,16 +1080,12 @@ def group(self,  *args, **kwargs):
 
     def all(self, name=None):
         """
-        Returns a group containing all labels.
+        (Deprecated) Returns a group containing all labels.
 
         Parameters
         ----------
         name : str, optional
             Name of the group. If not provided, name is set to 'all'.
-
-        See Also
-        --------
-        Axis.group
         """
         axis_name = self.name if self.name else 'axis'
         group_name = name if name else 'all'

From bbaec4e26ef96e0aee8857ab6632af01ef7f13bb Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 23 Mar 2017 15:47:33 +0100
Subject: [PATCH 399/899] update api.rst

---
 doc/source/api.rst | 17 +++++++++++++++--
 larray/session.py  | 35 +++++++++++++++++++++++++++++++++++
 2 files changed, 50 insertions(+), 2 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index f89c92bb9..e3632d340 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -191,8 +191,21 @@ Aggregation Functions
 Session
 =======
 
-.. autoclass:: Session
-   :members:
+.. autosummary::
+   :toctree: _generated/
+
+   Session
+   Session.names
+   Session.add
+   Session.get
+   Session.load
+   Session.dump
+   Session.dump_csv
+   Session.dump_excel
+   Session.dump_hdf
+   Session.filter
+   Session.compact
+   Session.copy
 
 Input/Output
 ============
diff --git a/larray/session.py b/larray/session.py
index c84e6ceb8..967b33035 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -399,12 +399,45 @@ def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
         handler.dump_arrays(arrays, display=display, **kwargs)
 
     def dump_hdf(self, fname, names=None, *args, **kwargs):
+        """
+        Dumps all array objects from the current session to an HDF file.
+
+        Parameters
+        ----------
+        fname : str
+            Path for the dump.
+        names : list of str or None, optional
+            List of names of objects to dump. Defaults to all objects
+            present in the Session.
+        """
         self.dump(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
     def dump_excel(self, fname, names=None, *args, **kwargs):
+        """
+        Dumps all array objects from the current session to an Excel file.
+
+        Parameters
+        ----------
+        fname : str
+            Path for the dump.
+        names : list of str or None, optional
+            List of names of objects to dump. Defaults to all objects
+            present in the Session.
+        """
         self.dump(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
     def dump_csv(self, fname, names=None, *args, **kwargs):
+        """
+        Dumps all array objects from the current session to a CSV file.
+
+        Parameters
+        ----------
+        fname : str
+            Path for the dump.
+        names : list of str or None, optional
+            List of names of objects to dump. Defaults to all objects
+            present in the Session.
+        """
         self.dump(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):
@@ -445,6 +478,8 @@ def names(self):
         return sorted(self._objects.keys())
 
     def copy(self):
+        """Returns a copy of the session.
+        """
         return Session(self._objects)
 
     def keys(self):

From 6ff5445096be8c057fd000a372c003cf502db08e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 23 Mar 2017 16:36:18 +0100
Subject: [PATCH 400/899] update api.rst

---
 doc/source/api.rst | 154 ++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 133 insertions(+), 21 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index e3632d340..a485624ea 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -139,15 +139,22 @@ Testing
    AxisCollection.isaxis
    AxisCollection.check_compatible
 
-
-Array
-=====
-
 LArray
-------
+======
+
+.. autosummary::
+   :toctree: _generated/
 
-.. autoclass:: LArray
-   :members:
+   LArray
+   LArray.info
+   LArray.shape
+   LArray.ndim
+   LArray.dtype
+   LArray.size
+   LArray.nbytes
+   LArray.memory_used
+   LArray.astype
+   LArray.copy
 
 Array Creation Functions
 ------------------------
@@ -167,26 +174,125 @@ Array Creation Functions
    full
    full_like
 
+Modifying/Selecting
+-------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.i
+   LArray.points
+   LArray.ipoints
+   LArray.set
+   LArray.drop_labels
+   LArray.filter
+
+Changing Axes or Labels
+-----------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.set_axes
+   LArray.rename
+   LArray.set_labels
+   LArray.combine_axes
+   LArray.split_axis
+
 Aggregation Functions
 ---------------------
 
 .. autosummary::
    :toctree: _generated/
 
-   all
-   any
-   min
-   max
-   sum
-   prod
-   cumsum
-   cumprod
-   mean
-   median
-   var
-   std
-   percentile
-   ptp
+   LArray.sum
+   LArray.prod
+   LArray.cumsum
+   LArray.cumprod
+   LArray.mean
+   LArray.median
+   LArray.var
+   LArray.std
+   LArray.percentile
+   LArray.ptp
+   LArray.with_total
+   LArray.percent
+   LArray.growth_rate
+
+Sorting
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.sort_axis
+   LArray.sort_values
+   LArray.argsort
+   LArray.posargsort
+
+Reshaping/Extending/Reordering
+------------------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.reshape
+   LArray.reshape_like
+   LArray.compact
+   LArray.transpose
+   LArray.expand
+   LArray.prepend
+   LArray.append
+   LArray.extend
+   LArray.broadcast_with
+
+Testing/Searching
+-----------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.nonzero
+   LArray.all
+   LArray.any
+   LArray.min
+   LArray.max
+   LArray.argmin
+   LArray.posargmin
+   LArray.argmax
+   LArray.posargmax
+
+Miscellaneous
+-------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.ratio
+   LArray.rationot0
+   LArray.__matmul__
+   LArray.divnot0
+   LArray.clip
+   LArray.shift
+   LArray.diff
+   LArray.to_clipboard
+
+Converting to Pandas objects
+----------------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.to_series
+   LArray.to_frame
+
+Plotting
+--------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.plot
 
 Session
 =======
@@ -226,6 +332,12 @@ Read
 Write
 -----
 
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.to_csv
+   LArray.to_excel
+   LArray.to_hdf
 
 Viewer
 ======

From 5b2d2e0e96dcfa5c6bab0b03b6942aa20729da31 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 09:23:50 +0100
Subject: [PATCH 401/899] Included LArray_intro.ipynb file in
 /doc/source/notebooks + updated conf.py, index.rst and environment.yml

---
 doc/environment.yml                     |    4 +
 doc/source/conf.py                      |    7 +-
 doc/source/index.rst                    |    1 +
 doc/source/notebooks/LArray_intro.ipynb | 5750 +++++++++++++++++++++++
 doc/source/notebooks/data2.h5           |  Bin 0 -> 12944 bytes
 doc/source/notebooks/data2.xlsx         |  Bin 0 -> 24178 bytes
 doc/source/notebooks/hh2.csv            |   79 +
 doc/source/notebooks/test.h5            |  Bin 0 -> 783880 bytes
 doc/source/notebooks/test.xlsx          |  Bin 0 -> 1427798 bytes
 9 files changed, 5839 insertions(+), 2 deletions(-)
 create mode 100644 doc/source/notebooks/LArray_intro.ipynb
 create mode 100644 doc/source/notebooks/data2.h5
 create mode 100644 doc/source/notebooks/data2.xlsx
 create mode 100644 doc/source/notebooks/hh2.csv
 create mode 100644 doc/source/notebooks/test.h5
 create mode 100644 doc/source/notebooks/test.xlsx

diff --git a/doc/environment.yml b/doc/environment.yml
index 28327b5af..b27743789 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -6,5 +6,9 @@ dependencies:
   - python=3.5
   - numpy
   - pandas
+  - jupyter
+  - jupyter_client
   - sphinx
   - numpydoc
+  - nbsphinx
+  - pandoc
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 818782f5e..cb5204d8c 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -36,7 +36,10 @@
     'sphinx.ext.intersphinx',
     'sphinx.ext.viewcode',
     'sphinx.ext.extlinks',
-    'numpydoc'
+    'numpydoc',
+    'nbsphinx',
+    'sphinx.ext.mathjax',
+    'IPython.sphinxext.ipython_console_highlighting'
 ]
 
 extlinks = {'issue': ('https://github.com/liam2/larray/issues/%s',
@@ -89,7 +92,7 @@
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
-exclude_patterns = []
+exclude_patterns = ['_build', '**.ipynb_checkpoints']
 
 # The reST default role (used for this markup: `text`) to use for all
 # documents.
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 3ac28daac..ad42d2327 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -8,6 +8,7 @@ Contents:
 
    intro
    install
+   notebooks/LArray_intro.ipynb
    api
 
 Indices and tables
diff --git a/doc/source/notebooks/LArray_intro.ipynb b/doc/source/notebooks/LArray_intro.ipynb
new file mode 100644
index 000000000..9340bcd6b
--- /dev/null
+++ b/doc/source/notebooks/LArray_intro.ipynb
@@ -0,0 +1,5750 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is an introduction to LArray. It is not intended to be a fully comprehensive manual. \n",
+    "It is mainly dedicated to help new users to familiarize with it and others to remind essentials.\n",
+    "\n",
+    "The first step to use the LArray library is to import it:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import larray as la"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true,
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true,
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "# To simplify what is printed when an exception is raised\n",
+    "class ExCtx(object):\n",
+    "    def __enter__(self):\n",
+    "        pass\n",
+    "    def __exit__(self, e_type, e_value, traceback):\n",
+    "        print(e_type, e_value)\n",
+    "        return True"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Axis creation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "An axis represents a dimension of an LArray object. It consists of a name and a list of labels.\n",
+    "They are several ways to create an axis:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(Axis('age', 3),\n",
+       " Axis('sex', ['M', 'F']),\n",
+       " Axis('time', [2007, 2008, 2009]),\n",
+       " Axis('other', ['A01', 'A02', 'A03', 'B01', 'B02', 'B03', 'C01', 'C02', 'C03']))"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a wildcard axis \n",
+    "age = la.Axis('age', 3)\n",
+    "# labels given as a string (labels are separated with commas)\n",
+    "sex = la.Axis('sex', 'M,F')\n",
+    "# labels given as a list \n",
+    "time = la.Axis('time', [2007, 2008, 2009])\n",
+    "# labels generated using a special syntax  \n",
+    "other = la.Axis('other', 'A01..C03')\n",
+    "\n",
+    "age, sex, time, other"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Array creation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A LArray object represents a multidimensional array with labeled axes. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### From scratch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To create an array from scratch, you need to provide the data and a list of axes. \n",
+    "Optionally, a title can be defined."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex | time\\other | A01 | A02 | A03 | B01 | B02 | B03 | C01 | C02 | C03\n",
+       "   0 |   M |       2007 |  61 |  25 |  27 |  83 |  35 |  50 |  26 |  84 |  35\n",
+       "   0 |   M |       2008 |  37 |  69 |  87 |  57 |  90 |  90 |  89 |  45 |  80\n",
+       "   0 |   M |       2009 |  11 |  18 |  18 |  36 |  82 |  36 |  94 |  68 |  95\n",
+       "   0 |   F |       2007 |  67 |  22 |  50 |  19 |  46 |  62 |  22 |  65 |  63\n",
+       "   0 |   F |       2008 |  99 |  35 |   3 |  76 |  42 |  48 |  58 |  69 |  32\n",
+       "   0 |   F |       2009 |  88 |  11 |   5 |  83 |   8 |  69 |  58 |  94 |  93\n",
+       "   1 |   M |       2007 |  14 |  62 |  48 |  20 |  23 |   9 |  12 |  83 |  93\n",
+       "   1 |   M |       2008 |  61 |  79 |  42 |  55 |  23 |  41 |  48 |  77 |  48\n",
+       "   1 |   M |       2009 |  12 |  62 |  44 |  42 |  72 |  85 |  86 |   2 |  79\n",
+       "   1 |   F |       2007 |  24 |  91 |  89 |  93 |  51 |  98 |  98 |  69 |  66\n",
+       "   1 |   F |       2008 |  36 |  28 |  39 |  82 |   5 |  49 |  97 |  27 |   1\n",
+       "   1 |   F |       2009 |  33 |  67 |  31 |  69 |  96 |  99 |  77 |  90 |  33\n",
+       "   2 |   M |       2007 |  81 |  96 |  66 |  83 |   5 |  43 |   2 |  82 |  17\n",
+       "   2 |   M |       2008 |  46 |  19 |  30 |   9 |  20 |  36 |  63 |   7 |  67\n",
+       "   2 |   M |       2009 |  46 |   2 |  97 |  71 |  42 |  85 |  60 |  21 |  62\n",
+       "   2 |   F |       2007 |  70 |  83 |  90 |  90 |  32 |  12 |  83 |  38 |  35\n",
+       "   2 |   F |       2008 |  77 |  21 |  97 |  78 |  20 |  42 |  33 |  37 |  91\n",
+       "   2 |   F |       2009 |  23 |  16 |  78 |  37 |  90 |  66 |  96 |  95 |  55"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# list of the axes\n",
+    "axes = [age, sex, time, other]\n",
+    "# data (the shape of data array must match axes lengths)\n",
+    "data = np.random.randint(100, size=[len(axis) for axis in axes])\n",
+    "# title (optional)\n",
+    "title = 'random data'\n",
+    "\n",
+    "arr = la.LArray(data, axes, title)\n",
+    "arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Array creation functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Arrays can also be generated in an easier way through creation functions:\n",
+    "\n",
+    "- **ndrange** : fills an array with increasing numbers\n",
+    "- **ndtest**  : same as ndrange but with axes generated automatically (for testing)\n",
+    "- **empty**   : creates an array but leaves its allocated memory unchanged (i.e., it contains \"garbage\". Be careful !)\n",
+    "- **zeros**   : fills an array with 0 \n",
+    "- **ones**    : fills an array with 1\n",
+    "- **full**    : fills an array with a given value\n",
+    "\n",
+    "Except for ndtest, a list of axes must be provided. Axes can be passed in different ways:\n",
+    "\n",
+    "- as Axis objects \n",
+    "- as integers defining the lengths of auto-generated wildcard axes\n",
+    "- as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)\n",
+    "- as pairs (name, labels)\n",
+    "\n",
+    "Optionally, the type of data stored by the array can be specified using argument dtype."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008 | 2009\n",
+       "   0 |        M |   -1 |    0 |    1\n",
+       "   0 |        F |    2 |    3 |    4\n",
+       "   1 |        M |    5 |    6 |    7\n",
+       "   1 |        F |    8 |    9 |   10\n",
+       "   2 |        M |   11 |   12 |   13\n",
+       "   2 |        F |   14 |   15 |   16"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# start defines the starting value of data\n",
+    "la.ndrange([age, 'sex=M,F', ('time', '2007,2008,2009')], start=-1, title='ndrange example')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "a\\b | b2 | b3 | b4\n",
+       " a2 | -1 |  0 |  1\n",
+       " a3 |  2 |  3 |  4\n",
+       " a4 |  5 |  6 |  7"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# start defines the starting value of data\n",
+    "# label_start defines the starting index of labels\n",
+    "la.ndtest((3, 3), start=-1, label_start=2, , title='ndtest example')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time |                 2007 |                 2008 |                 2009\n",
+       "   0 |        M | 1.2009094192155e-311 | 1.2008848008177e-311 | 1.2008846373333e-311\n",
+       "   0 |        F | 1.2008830638805e-311 |  1.200884244215e-311 |  1.200874353187e-311\n",
+       "   1 |        M | 1.2008421777547e-311 |  1.200842177798e-311 | 1.2008421778416e-311\n",
+       "   1 |        F |  1.200842177885e-311 | 1.2008421779286e-311 | 1.2008650739464e-311\n",
+       "   2 |        M |                  0.0 |                  0.0 |                  0.0\n",
+       "   2 |        F |                  0.0 |                  0.0 |                  0.0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# empty generates uninitialised array with correct axes (much faster but use with care!).\n",
+    "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there. \n",
+    "# Use it only if performance matters and make sure all data will be overridden. \n",
+    "la.empty([age, 'sex=M,F', ('time', '2007,2008,2009')], title='empty example')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0}* | {1}\\{2} | 2007 | 2008 | 2009\n",
+       "   0 |       M |  0.0 |  0.0 |  0.0\n",
+       "   0 |       F |  0.0 |  0.0 |  0.0\n",
+       "   1 |       M |  0.0 |  0.0 |  0.0\n",
+       "   1 |       F |  0.0 |  0.0 |  0.0\n",
+       "   2 |       M |  0.0 |  0.0 |  0.0\n",
+       "   2 |       F |  0.0 |  0.0 |  0.0"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# example with anonymous axes\n",
+    "la.zeros([3, 'M,F', (None, '2007,2008,2009')], , title='zeros example')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008 | 2009\n",
+       "   0 |        M |    1 |    1 |    1\n",
+       "   0 |        F |    1 |    1 |    1\n",
+       "   1 |        M |    1 |    1 |    1\n",
+       "   1 |        F |    1 |    1 |    1\n",
+       "   2 |        M |    1 |    1 |    1\n",
+       "   2 |        F |    1 |    1 |    1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# dtype=int forces to store int data instead of default float\n",
+    "la.ones([age, 'sex=M,F', ('time', '2007,2008,2009')], title='ones example', dtype=int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008 | 2009\n",
+       "   0 |        M | 1.23 | 1.23 | 1.23\n",
+       "   0 |        F | 1.23 | 1.23 | 1.23\n",
+       "   1 |        M | 1.23 | 1.23 | 1.23\n",
+       "   1 |        F | 1.23 | 1.23 | 1.23\n",
+       "   2 |        M | 1.23 | 1.23 | 1.23\n",
+       "   2 |        F | 1.23 | 1.23 | 1.23"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "la.full([age, 'sex=M,F', ('time', '2007,2008,2009')], 1.23, title='full example')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All the above function exist in *{func}_like* variants which takes axes from another array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex | time\\other | A01 | A02 | A03 | B01 | B02 | B03 | C01 | C02 | C03\n",
+       "   0 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   0 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   0 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   0 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   0 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   0 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   1 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
+       "   2 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "la.ones_like(arr, title='ones_like example')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create Sequential"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The special **create_sequencial** function allows you to create an array from an axis by iteratively applying a function to a given initial value. \n",
+    "You can choose between **inc** and **mult** functions or define your own."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex |   M |   F\n",
+       "    | 1.0 | 1.5"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... \n",
+    "la.create_sequential(sex, initial=1.0, inc=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* |   0 |   1 |   2\n",
+       "     | 1.0 | 2.0 | 4.0"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... \n",
+    "la.create_sequential(age, initial=1.0, mult=2.0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | 2007 | 2008 | 2009\n",
+       "     |  2.0 |  4.0 | 16.0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Using your own function\n",
+    "la.create_sequential(time, initial=2.0, func=lambda value: value**2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also create N-dimensional array by passing (N-1)-dimensional array to initial, inc or mult argument"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\time | 2007 | 2008 | 2009\n",
+       "       M |  0.0 | 1.05 |  2.1\n",
+       "       F |  0.0 | 1.15 |  2.3"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "birth = la.LArray([1.05, 1.15], sex)\n",
+    "cumulate_newborns = la.create_sequential(time, initial=0.0, inc=birth)\n",
+    "cumulate_newborns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\age |    80 |                81 |                82 |                83\n",
+       "      M |  90.0 | 86.39999999999999 | 82.94399999999999 | 79.62623999999998\n",
+       "      F | 100.0 |              98.0 | 96.03999999999999 | 94.11919999999999"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop_age = la.Axis('age', '80..83')\n",
+    "start_pop = la.LArray([90, 100], sex) \n",
+    "survival = la.LArray([0.96, 0.98], sex)\n",
+    "pop = la.create_sequential(pop_age, initial=start_pop, mult=survival)\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load/Dump from files"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load from files"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Arrays can be loaded from CSV files (see documentation of *read_csv* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "26 x 3 x 7\n",
+       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
+       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
+       " hh_type [7]: 'SING' \"'MAR0\" 'MAR+' ... 'UNM+' 'H1P' 'OTHR'"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)\n",
+    "# read_eurostat is a shortcut to read EUROSTAT TSV files  \n",
+    "household = la.read_csv('hh.csv')\n",
+    "household.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or Excel sheets (see documentation of *read_excel* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "26 x 3 x 121 x 2 x 2\n",
+       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
+       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
+       " age [121]: 0 1 2 ... 118 119 120\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# loads array from the first sheet if no sheetname is given \n",
+    "pop = la.read_excel('data.xlsx', 'pop')\n",
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or HDF5 files (HDF5 is file format designed to store and organize large amounts of data. An HDF5 file can contain multiple arrays. See documentation of *read_hdf* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "26 x 3 x 121 x 2 x 2\n",
+       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
+       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
+       " age [121]: 0 1 2 ... 118 119 120\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mortality = la.read_hdf('data.h5','qx')\n",
+    "mortality.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or SAS files (see documentation of *read_sas* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "la.read_sas('qx.xpt')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dump in files"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Arrays can be dumped in CSV files (see documentation of *to_csv* for more details) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "household.to_csv('hh2.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or in Excel files (see documentation of *to_excel* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# if the file does not already exist, it is created with a single sheet, \n",
+    "# otherwise a new sheet is added to it\n",
+    "household.to_excel('data2.xlsx')\n",
+    "# it is usually better to specify the sheet explicitly (by name or position) though\n",
+    "household.to_excel('data2.xlsx', 'hh')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or in HDF5 files (see documentation of *to_hdf* for more details)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "household.to_hdf('data2.h5', 'hh')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "### more Excel IO"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008 | 2009\n",
+       "   0 |        M |    0 |    1 |    2\n",
+       "   0 |        F |    3 |    4 |    5\n",
+       "   1 |        M |    6 |    7 |    8\n",
+       "   1 |        F |    9 |   10 |   11\n",
+       "   2 |        M |   12 |   13 |   14\n",
+       "   2 |        F |   15 |   16 |   17"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a 3 x 2 x 3 array \n",
+    "age = la.Axis('age', 3)\n",
+    "sex = la.Axis('sex', 'M,F')\n",
+    "time = la.Axis('time', [2007, 2008, 2009])\n",
+    "arr = la.ndrange([age, sex, time])\n",
+    "arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Write Arrays"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Open an Excel file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "wb = la.open_excel('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Put an array in an Excel Sheet, **excluding** headers (labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# put arr at A1 in Sheet1, excluding headers (labels)\n",
+    "wb['Sheet1'] = arr\n",
+    "# same but starting at A9\n",
+    "# note that Sheet1 must exist\n",
+    "wb['Sheet1']['A9'] = arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Put an array in an Excel Sheet, **including** headers (labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# dump arr at A1 in Sheet2, including headers (labels)\n",
+    "wb['Sheet2'] = arr.dump()\n",
+    "# same but starting at A10\n",
+    "wb['Sheet2']['A10'] = arr.dump()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Save file to disk"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.save()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Close file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read Arrays"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Open an Excel file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "wb = la.open_excel('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load an array from a sheet (assuming the presence of (correctly formatted) headers and only one array in sheet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008 | 2009\n",
+       "   0 |        M |    0 |    1 |    2\n",
+       "   0 |        F |    3 |    4 |    5\n",
+       "   1 |        M |    6 |    7 |    8\n",
+       "   1 |        F |    9 |   10 |   11\n",
+       "   2 |        M |   12 |   13 |   14\n",
+       "   2 |        F |   15 |   16 |   17"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# save one array in Sheet3 (including headers)\n",
+    "wb['Sheet3'] = arr.dump()\n",
+    "\n",
+    "# load array from the data starting at A1 in Sheet3\n",
+    "arr = wb['Sheet3'].load()\n",
+    "arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load an array with its axes information from a range"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\time | 2007 | 2008\n",
+       "   0 |        M |    0 |    1\n",
+       "   0 |        F |    3 |    4\n",
+       "   1 |        M |    6 |    7\n",
+       "   1 |        F |    9 |   10"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# if you need to use the same sheet several times,\n",
+    "# you can create a sheet variable \n",
+    "sheet2 = wb['Sheet2']\n",
+    "\n",
+    "# load array contained in the 4 x 4 table defined by cells A10 and D14\n",
+    "arr2 = sheet2['A10:D14'].load()\n",
+    "arr2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read Ranges (experimental)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load an array (raw data) with no axis information from a range"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0}*\\{1}* |   0 |    1\n",
+       "        0 | 0.0 |  1.0\n",
+       "        1 | 3.0 |  4.0\n",
+       "        2 | 6.0 |  7.0\n",
+       "        3 | 9.0 | 10.0"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr3 = wb['Sheet1']['A1:B4']\n",
+    "arr3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "in fact, this is not really an LArray ..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "larray.excel.Range"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(arr3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "... but it can be used as such"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0}* |    0 |    1\n",
+       "     | 18.0 | 22.0"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "arr3.sum(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "... and it can be used for other stuff, like setting the formula instead of the value:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "arr3.formula = '=D10+1'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "In the future, we should also be able to set font name, size, style, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "wb.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Inspecting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "collapsed": false,
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "# load population array\n",
+    "pop = la.read_csv('pop.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get array summary : dimensions + description of axes "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "26 x 3 x 121 x 2 x 2\n",
+       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
+       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
+       " age [121]: 0 1 2 ... 118 119 120\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "time, geo, age, sex, nat = pop.axes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get array dimensions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(26, 3, 121, 2, 2)"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get number of elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "37752"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.size"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get size in memory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "302016"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.nbytes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Start viewer (graphical user interface) in read-only mode. \n",
+    "This will open a new window and block execution of the rest of code until the windows is closed!\n",
+    "Required PyQt installed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "la.view(pop)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load array in an Excel sheet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "pop.to_excel()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Selection (Subsets)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "LArray allows to select a subset of an array either by labels or positions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selection by Labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To take a subset of an array using labels, use brackets [ ]. Let's start by selecting a single element: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4813"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# here we select the value associated with Belgian women of age 50 from Brussels region for the year 2015\n",
+    "pop[2015, 'BruCap', 50, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Continue with selecting a subset using slices and lists of labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2011 | 5015 | 4860 | 4792\n",
+       "    2012 | 4722 | 5014 | 4818\n",
+       "    2013 | 4711 | 4727 | 5007\n",
+       "    2014 | 4788 | 4702 | 4730\n",
+       "    2015 | 4813 | 4767 | 4676\n",
+       "    2016 | 4814 | 4792 | 4740"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
+    "# from Brussels region for the years 2010 to 2016\n",
+    "pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2011 | 5015 | 4860 | 4792\n",
+       "    2012 | 4722 | 5014 | 4818\n",
+       "    2013 | 4711 | 4727 | 5007\n",
+       "    2014 | 4788 | 4702 | 4730\n",
+       "    2015 | 4813 | 4767 | 4676\n",
+       "    2016 | 4814 | 4792 | 4740"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# slices bounds are optional: \n",
+    "# if not given start is assumed to be the first label and stop is the last one.\n",
+    "# Here we select all years starting from 2010\n",
+    "pop[2010:, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2012 | 4722 | 5014 | 4818\n",
+       "    2014 | 4788 | 4702 | 4730\n",
+       "    2016 | 4814 | 4792 | 4740"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Slices can also have a step (defaults to 1), to take every Nth labels\n",
+    "# Here we select all even years starting from 2010\n",
+    "pop[2010::2, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2008 | 4731 | 4735 | 4724\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2013 | 4711 | 4727 | 5007\n",
+       "    2015 | 4813 | 4767 | 4676"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# one can also use list of labels to take non-contiguous labels.\n",
+    "# Here we select years 2008, 2010, 2013 and 2015\n",
+    "pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. \n",
+    "It only matters for output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2008 | 4731 | 4735 | 4724\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2013 | 4711 | 4727 | 5007\n",
+       "    2015 | 4813 | 4767 | 4676"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# order of index doesn't matter\n",
+    "pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "\n",
+    "**Warning:** Selecting by labels as above works well as long as there is no ambiguity. \n",
+    "When two or more axes have common labels, it may lead to a crash. \n",
+    "Don't panic! The solution is then to precise to which axis belong the labels.  \n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "collapsed": false,
+    "raw_mimetype": "text/restructuredtext"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'ValueError'> slice(10, 18, None) is ambiguous (valid in age, weight, size)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# let us now create an array with the same labels on several axes\n",
+    "age = la.Axis('age', range(80))\n",
+    "weight = la.Axis('weight', range(120))\n",
+    "size = la.Axis('size', range(200))\n",
+    "arr_ws = la.ndrange([age, weight, size])\n",
+    "\n",
+    "# let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.\n",
+    "# In this case the subset is ambiguous and this results in an error:\n",
+    "with ExCtx():\n",
+    "    arr_ws[10:18, :80, 160:165]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | weight\\size |    160 |    161 |    162 |    163 |    164 |    165\n",
+       " 10 |           0 | 240160 | 240161 | 240162 | 240163 | 240164 | 240165\n",
+       " 10 |           1 | 240360 | 240361 | 240362 | 240363 | 240364 | 240365\n",
+       " 10 |           2 | 240560 | 240561 | 240562 | 240563 | 240564 | 240565\n",
+       " 10 |           3 | 240760 | 240761 | 240762 | 240763 | 240764 | 240765\n",
+       " 10 |           4 | 240960 | 240961 | 240962 | 240963 | 240964 | 240965\n",
+       "... |         ... |    ... |    ... |    ... |    ... |    ... |    ...\n",
+       " 18 |          76 | 447360 | 447361 | 447362 | 447363 | 447364 | 447365\n",
+       " 18 |          77 | 447560 | 447561 | 447562 | 447563 | 447564 | 447565\n",
+       " 18 |          78 | 447760 | 447761 | 447762 | 447763 | 447764 | 447765\n",
+       " 18 |          79 | 447960 | 447961 | 447962 | 447963 | 447964 | 447965\n",
+       " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# the solution is simple. You need to precise the axes on which you make a selection\n",
+    "arr_ws[age[10:18], weight[:80], size[160:165]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Speciale variable x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "When selecting, assiging or using aggregate functions, an axis can be refered via the special variable **x**: \n",
+    "\n",
+    "- pop[x.age[:20]] \n",
+    "- pop.sum(x.age)\n",
+    "\n",
+    "This gives you acces to axes of the array you are manipulating. The main drawback of using *x* is that you lose the autocompletion available from many editors. It only works with non-wildcard axes. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | weight\\size |    160 |    161 |    162 |    163 |    164 |    165\n",
+       " 10 |           0 | 240160 | 240161 | 240162 | 240163 | 240164 | 240165\n",
+       " 10 |           1 | 240360 | 240361 | 240362 | 240363 | 240364 | 240365\n",
+       " 10 |           2 | 240560 | 240561 | 240562 | 240563 | 240564 | 240565\n",
+       " 10 |           3 | 240760 | 240761 | 240762 | 240763 | 240764 | 240765\n",
+       " 10 |           4 | 240960 | 240961 | 240962 | 240963 | 240964 | 240965\n",
+       "... |         ... |    ... |    ... |    ... |    ... |    ... |    ...\n",
+       " 18 |          76 | 447360 | 447361 | 447362 | 447363 | 447364 | 447365\n",
+       " 18 |          77 | 447560 | 447561 | 447562 | 447563 | 447564 | 447565\n",
+       " 18 |          78 | 447760 | 447761 | 447762 | 447763 | 447764 | 447765\n",
+       " 18 |          79 | 447960 | 447961 | 447962 | 447963 | 447964 | 447965\n",
+       " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from larray import x\n",
+    "\n",
+    "# the previous example could have been also written as  \n",
+    "arr_ws[x.age[10:18], x.weight[:80], x.size[160:165]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selection by Positions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sometimes it is more practical to use positions along the axis, instead of labels. You need to add the character **i** before the brackets: *.i[positions]*. As for selection with labels, you can use single position or slice or list of positions. Positions can be also negative (-1 represent the last element of an axis)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "\n",
+    "**Note**: Remember that positions (indices) are always **0-based** in Python. So the first element is at position 0, the second is at position 1, etc.\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    1991 | 3739 | 4138 | 4101\n",
+       "    1992 | 3373 | 3665 | 4088\n",
+       "    1993 | 3648 | 3335 | 3615"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
+    "# from Brussels region for the first 3 years\n",
+    "pop[x.time.i[:3], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2014 | 4788 | 4702 | 4730\n",
+       "    2015 | 4813 | 4767 | 4676\n",
+       "    2016 | 4814 | 4792 | 4740"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# same but for the last 3 years\n",
+    "pop[x.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time\\age |   50 |   51 |   52\n",
+       "    2008 | 4731 | 4735 | 4724\n",
+       "    2010 | 4869 | 4811 | 4699\n",
+       "    2013 | 4711 | 4727 | 5007\n",
+       "    2015 | 4813 | 4767 | 4676"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# using list of positions\n",
+    "pop[x.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "\n",
+    "**Warning**: The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age |    0 |    1 |    2 |    3\n",
+       "    | 6020 | 5882 | 6023 | 5861"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with labels (3 is included)\n",
+    "pop[2015, 'BruCap', x.age[:3], 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age |    0 |    1 |    2\n",
+       "    | 6020 | 5882 | 6023"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with position (3 is out)\n",
+    "pop[2015, 'BruCap', x.age.i[:3], 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can use *.i[]* selection directly on array instead of axes. In this context, if you want to select a subset of the first and third axes for example, you must use a full slice **:** for the second one. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "   geo | age | sex\\nat |    BE |   FO\n",
+       "BruCap |   0 |       M |  6155 | 3104\n",
+       "BruCap |   0 |       F |  5900 | 2817\n",
+       "BruCap |   1 |       M |  6165 | 3068\n",
+       "BruCap |   1 |       F |  5916 | 2946\n",
+       "BruCap |   2 |       M |  6053 | 2918\n",
+       "BruCap |   2 |       F |  5736 | 2776\n",
+       "   Fla |   0 |       M | 29993 | 3717\n",
+       "   Fla |   0 |       F | 28483 | 3587\n",
+       "   Fla |   1 |       M | 31292 | 3716\n",
+       "   Fla |   1 |       F | 29721 | 3575\n",
+       "   Fla |   2 |       M | 31718 | 3597\n",
+       "   Fla |   2 |       F | 30353 | 3387\n",
+       "   Wal |   0 |       M | 17869 | 1472\n",
+       "   Wal |   0 |       F | 17242 | 1454\n",
+       "   Wal |   1 |       M | 18820 | 1432\n",
+       "   Wal |   1 |       F | 17604 | 1443\n",
+       "   Wal |   2 |       M | 19076 | 1444\n",
+       "   Wal |   2 |       F | 18189 | 1358"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# here we select the last year and first 3 ages\n",
+    "pop.i[-1, :, :3]\n",
+    "\n",
+    "# which is equivalent to \n",
+    "pop.i[-1, :, :3, :, :]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Assigning subsets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Assigning value"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Assign a value to a subset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  8 |  0\n",
+       "102 |       F | 26 |  1\n",
+       "103 |       M |  2 |  1\n",
+       "103 |       F | 17 |  2\n",
+       "104 |       M |  2 |  1\n",
+       "104 |       F | 14 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  2 |  2"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# let's take a smaller array\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "pop2 = pop\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  0 |  0\n",
+       "102 |       F |  0 |  0\n",
+       "103 |       M |  0 |  0\n",
+       "103 |       F |  0 |  0\n",
+       "104 |       M |  0 |  0\n",
+       "104 |       F |  0 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  0 |  0"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# set all data corresponding to age >= 102 to 0\n",
+    "pop2[102:] = 0\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One very important gotcha though...\n",
+    "\n",
+    "<div class=\"alert alert-warning\">\n",
+    "\n",
+    "**WARNING**: Modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**. The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. To avoid such behavior, use **.copy()** method.\n",
+    "\n",
+    "</div>\n",
+    "\n",
+    "Remember: \n",
+    "\n",
+    "- taking a slice subset of an array is extremely fast (no data is copied)\n",
+    "- if one modifies that subset in-place, one also **modifies the original array**\n",
+    "- **.copy()** returns a copy of the subset (takes speed and memory) but allows you to change the subset without modifying the original array in the same time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  0 |  0\n",
+       "102 |       F |  0 |  0\n",
+       "103 |       M |  0 |  0\n",
+       "103 |       F |  0 |  0\n",
+       "104 |       M |  0 |  0\n",
+       "104 |       F |  0 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  0 |  0"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# indeed, data from the original array have also changed\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  0 |  0\n",
+       "102 |       F |  0 |  0\n",
+       "103 |       M |  0 |  0\n",
+       "103 |       F |  0 |  0\n",
+       "104 |       M |  0 |  0\n",
+       "104 |       F |  0 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  0 |  0"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# the right way\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "\n",
+    "pop2 = pop.copy()\n",
+    "pop2[102:] = 0\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  8 |  0\n",
+       "102 |       F | 26 |  1\n",
+       "103 |       M |  2 |  1\n",
+       "103 |       F | 17 |  2\n",
+       "104 |       M |  2 |  1\n",
+       "104 |       F | 14 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  2 |  2"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# now, data from the original array have not changed this time\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Assigning Arrays & Broadcasting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "Instead of a value, we can also assign an array to a subset. In that case, that array can have less axes than the target but those which are present must be compatible with the subset being targetted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\nat | BE | FO\n",
+       "      M |  1 | -1\n",
+       "      F |  2 | -2"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_value = la.LArray([[1, -1], [2, -2]],[sex, nat])\n",
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  1 | -1\n",
+       "102 |       F |  2 | -2\n",
+       "103 |       M |  1 | -1\n",
+       "103 |       F |  2 | -2\n",
+       "104 |       M |  1 | -1\n",
+       "104 |       F |  2 | -2\n",
+       "105 |       M |  1 | -1\n",
+       "105 |       F |  2 | -2"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this assigns 1, -1 to Belgian, Foreigner men \n",
+    "# and 2, -2 to Belgian, Foreigner women for all \n",
+    "# people older than 100\n",
+    "pop[102:] = new_value\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "\n",
+    "**Warning**: The array being assigned must have compatible axes with the target subset\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age* | sex\\nat |  BE |  FO\n",
+       "   0 |       M | 0.0 | 0.0\n",
+       "   0 |       F | 0.0 | 0.0\n",
+       "   1 |       M | 0.0 | 0.0\n",
+       "   1 |       F | 0.0 | 0.0\n",
+       "   2 |       M | 0.0 | 0.0\n",
+       "   2 |       F | 0.0 | 0.0"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# assume we define the following array with shape 3 x 2 x 2\n",
+    "new_value = la.zeros([la.Axis('age', 3), sex, nat]) \n",
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'ValueError'> could not broadcast input array from shape (3,2,2) into shape (4,2,2)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# now let's try to assign the previous array in a subset with shape 7 x 2 x 2\n",
+    "with ExCtx():\n",
+    "    pop[102:] = new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  0 |  0\n",
+       "102 |       F |  0 |  0\n",
+       "103 |       M |  0 |  0\n",
+       "103 |       F |  0 |  0\n",
+       "104 |       M |  0 |  0\n",
+       "104 |       F |  0 |  0\n",
+       "105 |       M |  1 | -1\n",
+       "105 |       F |  2 | -2"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# but this works\n",
+    "pop[102:104] = new_value\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Boolean filtering"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Boolean filtering can be use to extract subsets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age,sex\\nat |   BE |   FO\n",
+       "        0,F | 5900 | 2817\n",
+       "        1,F | 5916 | 2946\n",
+       "        2,F | 5736 | 2776\n",
+       "        3,F | 5883 | 2734\n",
+       "        4,F | 5784 | 2523\n",
+       "        5,F | 5780 | 2521\n",
+       "        6,F | 5759 | 2290\n",
+       "        7,F | 5518 | 2234\n",
+       "        8,F | 5474 | 2066\n",
+       "        9,F | 5354 | 1896\n",
+       "       10,F | 5200 | 1785"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Let's focus on population living in Brussels during the year 2016\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap']\n",
+    "\n",
+    "# here we select all males and females with age less than 5 and 10 respectively\n",
+    "subset = pop[((x.sex == 'H') & (x.age <= 5)) | ((x.sex == 'F') & (x.age <= 10))]\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "\n",
+    "**Note**: Be aware that after boolean filtering, several axes may have merged. \n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "11 x 2\n",
+       " age,sex [11]: '0,F' '1,F' '2,F' ... '8,F' '9,F' '10,F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 'age' and 'sex' axes have been merged together\n",
+    "subset.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This may be not what you because previous selections on merged axes are no longer valid "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'ValueError'> F is not a valid label for any axis\n"
+     ]
+    }
+   ],
+   "source": [
+    "# now let's try to calculate the proportion of females with age less than 10\n",
+    "with ExCtx():\n",
+    "    subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\nat |   BE |   FO\n",
+       "      0 | 5900 | 2817\n",
+       "      1 | 5916 | 2946\n",
+       "      2 | 5736 | 2776\n",
+       "      3 | 5883 | 2734\n",
+       "      4 | 5784 | 2523\n",
+       "      5 | 5780 | 2521\n",
+       "      6 | 5759 | 2290\n",
+       "      7 | 5518 | 2234\n",
+       "      8 | 5474 | 2066\n",
+       "      9 | 5354 | 1896\n",
+       "     10 | 5200 | 1785\n",
+       "     11 |    0 |    0\n",
+       "     12 |    0 |    0\n",
+       "     13 |    0 |    0\n",
+       "     14 |    0 |    0\n",
+       "     15 |    0 |    0\n",
+       "     16 |    0 |    0\n",
+       "     17 |    0 |    0\n",
+       "     18 |    0 |    0\n",
+       "     19 |    0 |    0\n",
+       "     20 |    0 |    0"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subset = pop.copy()\n",
+    "subset[((x.sex == 'F') & (x.age > 10))] = 0\n",
+    "subset['F', :20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.14618110657051941"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# now we can calculate the proportion of females with age less than 10\n",
+    "subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Boolean filtering can also mix axes and arrays. Example above could also have been written as"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex | M |  F\n",
+       "    | 5 | 10"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age_limit = la.create_sequential(sex, initial=5, inc=5)\n",
+    "age_limit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\sex |     M |     F\n",
+       "      0 |  True |  True\n",
+       "      1 |  True |  True\n",
+       "      2 |  True |  True\n",
+       "      3 |  True |  True\n",
+       "      4 |  True |  True\n",
+       "      5 |  True |  True\n",
+       "      6 | False |  True\n",
+       "      7 | False |  True\n",
+       "      8 | False |  True\n",
+       "      9 | False |  True\n",
+       "     10 | False |  True\n",
+       "     11 | False | False\n",
+       "     12 | False | False\n",
+       "     13 | False | False\n",
+       "     14 | False | False\n",
+       "     15 | False | False\n",
+       "     16 | False | False\n",
+       "     17 | False | False\n",
+       "     18 | False | False\n",
+       "     19 | False | False\n",
+       "     20 | False | False"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age = pop.axes['age']\n",
+    "(age <= age_limit)[:20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.14618110657051941"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subset = pop.copy()\n",
+    "subset[x.age > age_limit] = 0\n",
+    "subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, you can choose to filter on data instead of axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\nat |   BE |  FO\n",
+       "     90 | 1477 | 136\n",
+       "     91 | 1298 | 105\n",
+       "     92 | 1141 |  78\n",
+       "     93 |  906 |  74\n",
+       "     94 |  739 |  65\n",
+       "     95 |  566 |  53\n",
+       "     96 |  327 |  25\n",
+       "     97 |  171 |  21\n",
+       "     98 |  135 |   9\n",
+       "     99 |   92 |   8\n",
+       "    100 |   60 |   3\n",
+       "    101 |   66 |   5\n",
+       "    102 |   26 |   1\n",
+       "    103 |   17 |   2\n",
+       "    104 |   14 |   0\n",
+       "    105 |    2 |   2\n",
+       "    106 |    3 |   3\n",
+       "    107 |    1 |   2\n",
+       "    108 |    1 |   0\n",
+       "    109 |    0 |   0\n",
+       "    110 |    0 |   0"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# let's focus on females older than 90\n",
+    "subset = pop['F', 90:110].copy()\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\nat |   BE |  FO\n",
+       "     90 | 1477 | 136\n",
+       "     91 | 1298 | 105\n",
+       "     92 | 1141 |  78\n",
+       "     93 |  906 |  74\n",
+       "     94 |  739 |  65\n",
+       "     95 |  566 |  53\n",
+       "     96 |  327 |  25\n",
+       "     97 |  171 |  21\n",
+       "     98 |  135 |   0\n",
+       "     99 |   92 |   0\n",
+       "    100 |   60 |   0\n",
+       "    101 |   66 |   0\n",
+       "    102 |   26 |   0\n",
+       "    103 |   17 |   0\n",
+       "    104 |   14 |   0\n",
+       "    105 |    0 |   0\n",
+       "    106 |    0 |   0\n",
+       "    107 |    0 |   0\n",
+       "    108 |    0 |   0\n",
+       "    109 |    0 |   0\n",
+       "    110 |    0 |   0"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# here we set to 0 all data < 10\n",
+    "subset[subset < 10] = 0\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Manipulates axes from arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# let's start with\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Relabeling"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replace all labels of one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |     Men |  539 |  74\n",
+       " 90 |   Women | 1477 | 136\n",
+       " 91 |     Men |  499 |  49\n",
+       " 91 |   Women | 1298 | 105\n",
+       " 92 |     Men |  332 |  35\n",
+       " 92 |   Women | 1141 |  78\n",
+       " 93 |     Men |  287 |  27\n",
+       " 93 |   Women |  906 |  74\n",
+       " 94 |     Men |  237 |  23\n",
+       " 94 |   Women |  739 |  65\n",
+       " 95 |     Men |  154 |  19\n",
+       " 95 |   Women |  566 |  53"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# returns a copy by default\n",
+    "pop_new_labels = pop.set_labels(x.sex, ['Men', 'Women'])\n",
+    "pop_new_labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# inplace flag avoids to create a copy\n",
+    "pop.set_labels(x.sex, ['M', 'F'], inplace=True)\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Renaming axes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Rename one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | gender\\nat |   BE |  FO\n",
+       " 90 |          M |  539 |  74\n",
+       " 90 |          F | 1477 | 136\n",
+       " 91 |          M |  499 |  49\n",
+       " 91 |          F | 1298 | 105\n",
+       " 92 |          M |  332 |  35\n",
+       " 92 |          F | 1141 |  78\n",
+       " 93 |          M |  287 |  27\n",
+       " 93 |          F |  906 |  74\n",
+       " 94 |          M |  237 |  23\n",
+       " 94 |          F |  739 |  65\n",
+       " 95 |          M |  154 |  19\n",
+       " 95 |          F |  566 |  53"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 'rename' returns a copy of the array\n",
+    "pop2 = pop.rename(x.sex, 'gender')\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Rename several axes at once"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | gender\\nationality |   BE |  FO\n",
+       " 90 |                  M |  539 |  74\n",
+       " 90 |                  F | 1477 | 136\n",
+       " 91 |                  M |  499 |  49\n",
+       " 91 |                  F | 1298 | 105\n",
+       " 92 |                  M |  332 |  35\n",
+       " 92 |                  F | 1141 |  78\n",
+       " 93 |                  M |  287 |  27\n",
+       " 93 |                  F |  906 |  74\n",
+       " 94 |                  M |  237 |  23\n",
+       " 94 |                  F |  739 |  65\n",
+       " 95 |                  M |  154 |  19\n",
+       " 95 |                  F |  566 |  53"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# No x. here because sex and nat are keywords and not actual axes\n",
+    "pop2 = pop.rename(sex='gender', nat='nationality')\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Reordering axes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Axes can be reordered using *transpose* method. By default, *transpose* reverse axes, otherwise it permutes the axes according to the list given as argument. Axes not mentioned come after those which are mentioned (and keep their relative order). Finally, *transpose* returns a copy of the array."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# starting order : age, sex, nat\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nat | sex\\age |   90 |   91 |   92 |  93 |  94 |  95\n",
+       " BE |       M |  539 |  499 |  332 | 287 | 237 | 154\n",
+       " BE |       F | 1477 | 1298 | 1141 | 906 | 739 | 566\n",
+       " FO |       M |   74 |   49 |   35 |  27 |  23 |  19\n",
+       " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
+      ]
+     },
+     "execution_count": 102,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# no argument --> reverse axes\n",
+    "pop.transpose()\n",
+    "\n",
+    "# .T is a shortcut for .transpose()\n",
+    "pop.T"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | nat\\sex |   M |    F\n",
+       " 90 |      BE | 539 | 1477\n",
+       " 90 |      FO |  74 |  136\n",
+       " 91 |      BE | 499 | 1298\n",
+       " 91 |      FO |  49 |  105\n",
+       " 92 |      BE | 332 | 1141\n",
+       " 92 |      FO |  35 |   78\n",
+       " 93 |      BE | 287 |  906\n",
+       " 93 |      FO |  27 |   74\n",
+       " 94 |      BE | 237 |  739\n",
+       " 94 |      FO |  23 |   65\n",
+       " 95 |      BE | 154 |  566\n",
+       " 95 |      FO |  19 |   53"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# reorder according to list\n",
+    "pop.transpose(x.age, x.nat, x.sex)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex | age\\nat |   BE |  FO\n",
+       "  M |      90 |  539 |  74\n",
+       "  M |      91 |  499 |  49\n",
+       "  M |      92 |  332 |  35\n",
+       "  M |      93 |  287 |  27\n",
+       "  M |      94 |  237 |  23\n",
+       "  M |      95 |  154 |  19\n",
+       "  F |      90 | 1477 | 136\n",
+       "  F |      91 | 1298 | 105\n",
+       "  F |      92 | 1141 |  78\n",
+       "  F |      93 |  906 |  74\n",
+       "  F |      94 |  739 |  65\n",
+       "  F |      95 |  566 |  53"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# axes not mentioned come after those which are mentioned (and keep their relative order)\n",
+    "pop.transpose(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Aggregates"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Calculate the sum along an axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\nat |     BE |     FO\n",
+       "      M | 375261 | 204534\n",
+       "      F | 401554 | 206541"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap']\n",
+    "pop.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or along all axes except one by appending *_by* to the aggregation function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age |   90 |   91 |   92 |   93 |   94 |  95\n",
+       "    | 2226 | 1951 | 1586 | 1294 | 1064 | 792"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop[90:95].sum_by(x.age)\n",
+    "# is equivalent to \n",
+    "pop[90:95].sum(x.sex, x.nat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "There are many other aggregate functions built-in: \n",
+    "\n",
+    "- mean, min, max, median, percentile, var (variance), std (standard deviation)\n",
+    "- argmin, argmax (label indirect minimum/maxium -- labels where the value is minimum/maximum)\n",
+    "- posargmin, posargmax (positional indirect minimum/maxium -- position along axis where the value is minimum/maximum)\n",
+    "- cumsum, cumprod (cumulative sum, cumulative product)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Groups"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One can define groups of labels (or indices)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "LGroup([30, 55, 52, 25, 99], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]))"
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "age = pop.axes['age']\n",
+    "\n",
+    "# using indices (remember: 20 will not be included)\n",
+    "teens = age.i[10:20]\n",
+    "# using labels\n",
+    "pensioners = age[67:]\n",
+    "strange = age[[30, 55, 52, 25, 99]]\n",
+    "\n",
+    "strange"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or rename them"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "LGroup(slice(67, None, None), name='pensioners', axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]))"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# method 'named' returns a new group with the given name\n",
+    "teens = teens.named('children')\n",
+    "\n",
+    "# operator >> is a shortcut for 'named'\n",
+    "pensioners = pensioners >> 'pensioners'\n",
+    "\n",
+    "pensioners"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Then, use them in selections"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |   FO\n",
+       " 30 |       M | 5278 | 4725\n",
+       " 30 |       F | 5253 | 5419\n",
+       " 55 |       M | 4457 | 2196\n",
+       " 55 |       F | 4953 | 2059\n",
+       " 52 |       M | 4635 | 2640\n",
+       " 52 |       F | 4740 | 2333\n",
+       " 25 |       M | 5477 | 3590\n",
+       " 25 |       F | 5539 | 4635\n",
+       " 99 |       M |   20 |    2\n",
+       " 99 |       F |   92 |    8"
+      ]
+     },
+     "execution_count": 112,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop[strange]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or aggregations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\nat |    BE |    FO\n",
+       "      M | 44138 |  9939\n",
+       "      F | 70314 | 13241"
+      ]
+     },
+     "execution_count": 113,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.sum(pensioners)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "           age | sex\\nat |    BE |    FO\n",
+       "      children |       M | 49143 | 17100\n",
+       "      children |       F | 47226 | 16523\n",
+       "    pensioners |       M | 44138 |  9939\n",
+       "    pensioners |       F | 70314 | 13241\n",
+       "age[30 ... 99] |       M | 19867 | 13153\n",
+       "age[30 ... 99] |       F | 20577 | 14454"
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# several groups (here you see the interest of groups renaming)\n",
+    "pop.sum((teens, pensioners, strange))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "       age\\sex |     M |     F\n",
+       "      children | 66243 | 63749\n",
+       "    pensioners | 54077 | 83555\n",
+       "age[30 ... 99] | 33020 | 35031"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# combined with other axes\n",
+    "pop.sum((teens, pensioners, strange), x.nat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Arithmetic operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# go back to our 6 x 2 x 2 example array\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Usual Operations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  739 | 274\n",
+       " 90 |       F | 1677 | 336\n",
+       " 91 |       M |  699 | 249\n",
+       " 91 |       F | 1498 | 305\n",
+       " 92 |       M |  532 | 235\n",
+       " 92 |       F | 1341 | 278\n",
+       " 93 |       M |  487 | 227\n",
+       " 93 |       F | 1106 | 274\n",
+       " 94 |       M |  437 | 223\n",
+       " 94 |       F |  939 | 265\n",
+       " 95 |       M |  354 | 219\n",
+       " 95 |       F |  766 | 253"
+      ]
+     },
+     "execution_count": 120,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# addition\n",
+    "pop + 200"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M | 1078 | 148\n",
+       " 90 |       F | 2954 | 272\n",
+       " 91 |       M |  998 |  98\n",
+       " 91 |       F | 2596 | 210\n",
+       " 92 |       M |  664 |  70\n",
+       " 92 |       F | 2282 | 156\n",
+       " 93 |       M |  574 |  54\n",
+       " 93 |       F | 1812 | 148\n",
+       " 94 |       M |  474 |  46\n",
+       " 94 |       F | 1478 | 130\n",
+       " 95 |       M |  308 |  38\n",
+       " 95 |       F | 1132 | 106"
+      ]
+     },
+     "execution_count": 121,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# multiplication\n",
+    "pop * 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |      BE |    FO\n",
+       " 90 |       M |  290521 |  5476\n",
+       " 90 |       F | 2181529 | 18496\n",
+       " 91 |       M |  249001 |  2401\n",
+       " 91 |       F | 1684804 | 11025\n",
+       " 92 |       M |  110224 |  1225\n",
+       " 92 |       F | 1301881 |  6084\n",
+       " 93 |       M |   82369 |   729\n",
+       " 93 |       F |  820836 |  5476\n",
+       " 94 |       M |   56169 |   529\n",
+       " 94 |       F |  546121 |  4225\n",
+       " 95 |       M |   23716 |   361\n",
+       " 95 |       F |  320356 |  2809"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ** means raising to the power (squaring in this case)\n",
+    "pop ** 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       " 90 |       M |  9 |  4\n",
+       " 90 |       F |  7 |  6\n",
+       " 91 |       M |  9 |  9\n",
+       " 91 |       F |  8 |  5\n",
+       " 92 |       M |  2 |  5\n",
+       " 92 |       F |  1 |  8\n",
+       " 93 |       M |  7 |  7\n",
+       " 93 |       F |  6 |  4\n",
+       " 94 |       M |  7 |  3\n",
+       " 94 |       F |  9 |  5\n",
+       " 95 |       M |  4 |  9\n",
+       " 95 |       F |  6 |  3"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# % means modulo (aka remainder of division)\n",
+    "pop % 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "More interestingly, it also works between two arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |                 BE |                 FO\n",
+       " 90 |       M |  94.00000000000001 | 13.000000000000004\n",
+       " 90 |       F | 204.00000000000003 | 19.000000000000004\n",
+       " 91 |       M |               95.0 |                9.0\n",
+       " 91 |       F | 200.00000000000006 |               16.0\n",
+       " 92 |       M |               70.0 |                7.0\n",
+       " 92 |       F | 195.00000000000006 | 13.000000000000004\n",
+       " 93 |       M |  66.00000000000001 |                6.0\n",
+       " 93 |       F | 171.99999999999997 |               14.0\n",
+       " 94 |       M |               59.0 |                6.0\n",
+       " 94 |       F | 155.00000000000003 |               14.0\n",
+       " 95 |       M |               41.0 |                5.0\n",
+       " 95 |       F |              130.0 | 12.000000000000004"
+      ]
+     },
+     "execution_count": 124,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# load mortality equivalent array\n",
+    "mortality = la.read_csv('qx.csv')[2016, 'BruCap', 90:95] \n",
+    "\n",
+    "# compute number of deaths\n",
+    "death = pop * mortality\n",
+    "death"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "\n",
+    "**Note**: Be careful when mixing different data types. See **type promotion** in programming. You can use the method *astype* tu change the data type of an array.\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 125,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |  BE | FO\n",
+       " 90 |       M |  94 | 13\n",
+       " 90 |       F | 204 | 19\n",
+       " 91 |       M |  95 |  9\n",
+       " 91 |       F | 200 | 16\n",
+       " 92 |       M |  70 |  7\n",
+       " 92 |       F | 195 | 13\n",
+       " 93 |       M |  66 |  6\n",
+       " 93 |       F | 171 | 14\n",
+       " 94 |       M |  59 |  6\n",
+       " 94 |       F | 155 | 14\n",
+       " 95 |       M |  41 |  5\n",
+       " 95 |       F | 130 | 12"
+      ]
+     },
+     "execution_count": 125,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# to be sure to get number of deaths as integers\n",
+    "# one can use .astype() method\n",
+    "death = (pop * mortality).astype(int)\n",
+    "death"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But operations between two arrays only works when they have compatible axes (i.e. same labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'ValueError'> incompatible axes:\n",
+      "Axis('age', [93, 94, 95])\n",
+      "vs\n",
+      "Axis('age', [90, 91, 92])\n"
+     ]
+    }
+   ],
+   "source": [
+    "with ExCtx():\n",
+    "    pop[90:92] * mortality[93:95]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can override that but at your own risk. In that case only the position on the axis is used and not the labels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |                 BE |                 FO\n",
+       " 90 |       M | 123.95121951219514 | 16.444444444444443\n",
+       " 90 |       F |   280.401766004415 |  25.72972972972973\n",
+       " 91 |       M | 124.22362869198312 | 12.782608695652174\n",
+       " 91 |       F | 272.24627875507446 | 22.615384615384617\n",
+       " 92 |       M |  88.38961038961038 |  9.210526315789473\n",
+       " 92 |       F | 262.06713780918733 |  17.66037735849057"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop[90:92] * mortality[93:95].drop_labels(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Boolean Operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |    BE |   FO\n",
+       " 90 |       M |   539 |   74\n",
+       " 90 |       F | -1477 | -136\n",
+       " 91 |       M |   499 |   49\n",
+       " 91 |       F | -1298 | -105\n",
+       " 92 |       M |   332 |   35\n",
+       " 92 |       F | -1141 |  -78\n",
+       " 93 |       M |   287 |   27\n",
+       " 93 |       F |  -906 |  -74\n",
+       " 94 |       M |   237 |   23\n",
+       " 94 |       F |  -739 |  -65\n",
+       " 95 |       M |   154 |   19\n",
+       " 95 |       F |  -566 |  -53"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop2 = pop.copy()\n",
+    "pop2['F'] = -pop2['F']\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |    BE |    FO\n",
+       " 90 |       M |  True |  True\n",
+       " 90 |       F | False | False\n",
+       " 91 |       M |  True |  True\n",
+       " 91 |       F | False | False\n",
+       " 92 |       M |  True |  True\n",
+       " 92 |       F | False | False\n",
+       " 93 |       M |  True |  True\n",
+       " 93 |       F | False | False\n",
+       " 94 |       M |  True |  True\n",
+       " 94 |       F | False | False\n",
+       " 95 |       M |  True |  True\n",
+       " 95 |       F | False | False"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# testing for equality is done using == (a single = assigns the value)\n",
+    "pop == pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |    BE |    FO\n",
+       " 90 |       M | False | False\n",
+       " 90 |       F |  True |  True\n",
+       " 91 |       M | False | False\n",
+       " 91 |       F |  True |  True\n",
+       " 92 |       M | False | False\n",
+       " 92 |       F |  True |  True\n",
+       " 93 |       M | False | False\n",
+       " 93 |       F |  True |  True\n",
+       " 94 |       M | False | False\n",
+       " 94 |       F |  True |  True\n",
+       " 95 |       M | False | False\n",
+       " 95 |       F |  True |  True"
+      ]
+     },
+     "execution_count": 130,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# testing for inequality\n",
+    "pop != pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 131,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# what was our original array like again?\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |    BE |    FO\n",
+       " 90 |       M |  True | False\n",
+       " 90 |       F | False | False\n",
+       " 91 |       M | False | False\n",
+       " 91 |       F | False | False\n",
+       " 92 |       M | False | False\n",
+       " 92 |       F | False | False\n",
+       " 93 |       M | False | False\n",
+       " 93 |       F |  True | False\n",
+       " 94 |       M | False | False\n",
+       " 94 |       F |  True | False\n",
+       " 95 |       M | False | False\n",
+       " 95 |       F |  True | False"
+      ]
+     },
+     "execution_count": 132,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# & means (boolean array) and\n",
+    "(pop >= 500) & (pop <= 1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |    BE |   FO\n",
+       " 90 |       M | False | True\n",
+       " 90 |       F |  True | True\n",
+       " 91 |       M |  True | True\n",
+       " 91 |       F |  True | True\n",
+       " 92 |       M |  True | True\n",
+       " 92 |       F |  True | True\n",
+       " 93 |       M |  True | True\n",
+       " 93 |       F | False | True\n",
+       " 94 |       M |  True | True\n",
+       " 94 |       F | False | True\n",
+       " 95 |       M |  True | True\n",
+       " 95 |       F | False | True"
+      ]
+     },
+     "execution_count": 133,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# | means (boolean array) or\n",
+    "(pop < 500) | (pop > 1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Arithmetic operations with missing axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex\\nat |   BE |  FO\n",
+       "      M | 2048 | 227\n",
+       "      F | 6127 | 511"
+      ]
+     },
+     "execution_count": 134,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6 x 2 x 2\n",
+       " age [6]: 90 91 92 93 94 95\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# arr has 3 dimensions\n",
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2 x 2\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 136,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# and arr.sum(age) has two\n",
+    "pop.sum(x.age).info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |                  BE |                  FO\n",
+       " 90 |       M |       0.26318359375 | 0.32599118942731276\n",
+       " 90 |       F |  0.2410641423208748 | 0.26614481409001955\n",
+       " 91 |       M |       0.24365234375 | 0.21585903083700442\n",
+       " 91 |       F |  0.2118491921005386 |  0.2054794520547945\n",
+       " 92 |       M |         0.162109375 | 0.15418502202643172\n",
+       " 92 |       F | 0.18622490615309287 | 0.15264187866927592\n",
+       " 93 |       M |       0.14013671875 | 0.11894273127753303\n",
+       " 93 |       F | 0.14787008323812634 | 0.14481409001956946\n",
+       " 94 |       M |       0.11572265625 |  0.1013215859030837\n",
+       " 94 |       F | 0.12061367716663947 | 0.12720156555772993\n",
+       " 95 |       M |        0.0751953125 | 0.08370044052863436\n",
+       " 95 |       F | 0.09237799902072792 | 0.10371819960861056"
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# you can do operation with missing axes so this works\n",
+    "pop / pop.sum(x.age)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Axis order does not matter much (except for output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can do operations between arrays having different axes order. The axis order of the result is the same as the left array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53"
+      ]
+     },
+     "execution_count": 140,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nat | sex\\age |   90 |   91 |   92 |  93 |  94 |  95\n",
+       " BE |       M |  539 |  499 |  332 | 287 | 237 | 154\n",
+       " BE |       F | 1477 | 1298 | 1141 | 906 | 739 | 566\n",
+       " FO |       M |   74 |   49 |   35 |  27 |  23 |  19\n",
+       " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# let us change the order of axes\n",
+    "pop_transposed = pop.T\n",
+    "pop_transposed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "nat | sex\\age |   90 |   91 |   92 |   93 |   94 |   95\n",
+       " BE |       M | 1078 |  998 |  664 |  574 |  474 |  308\n",
+       " BE |       F | 2954 | 2596 | 2282 | 1812 | 1478 | 1132\n",
+       " FO |       M |  148 |   98 |   70 |   54 |   46 |   38\n",
+       " FO |       F |  272 |  210 |  156 |  148 |  130 |  106"
+      ]
+     },
+     "execution_count": 142,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# mind blowing\n",
+    "pop_transposed + pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Combining arrays"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Append/Prepend"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Append/prepend one element to an axis of an array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO | NEU\n",
+       " 90 |       M |  539 |  74 |  25\n",
+       " 90 |       F | 1477 | 136 |  54\n",
+       " 91 |       M |  499 |  49 |  15\n",
+       " 91 |       F | 1298 | 105 |  33\n",
+       " 92 |       M |  332 |  35 |  12\n",
+       " 92 |       F | 1141 |  78 |  28\n",
+       " 93 |       M |  287 |  27 |  11\n",
+       " 93 |       F |  906 |  74 |  37\n",
+       " 94 |       M |  237 |  23 |   5\n",
+       " 94 |       F |  739 |  65 |  21\n",
+       " 95 |       M |  154 |  19 |   7\n",
+       " 95 |       F |  566 |  53 |  19"
+      ]
+     },
+     "execution_count": 143,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95] \n",
+    "\n",
+    "# imagine that you have now acces to the number of non-EU foreigners\n",
+    "data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]\n",
+    "pop_non_eu = la.LArray(data, pop['FO'].axes)\n",
+    "\n",
+    "# you can do something like this\n",
+    "pop = pop.append(nat, pop_non_eu, 'NEU')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO | NEU\n",
+       " 90 |       B | 2016 | 210 |  79\n",
+       " 90 |       M |  539 |  74 |  25\n",
+       " 90 |       F | 1477 | 136 |  54\n",
+       " 91 |       B | 1797 | 154 |  48\n",
+       " 91 |       M |  499 |  49 |  15\n",
+       " 91 |       F | 1298 | 105 |  33\n",
+       " 92 |       B | 1473 | 113 |  40\n",
+       " 92 |       M |  332 |  35 |  12\n",
+       " 92 |       F | 1141 |  78 |  28\n",
+       " 93 |       B | 1193 | 101 |  48\n",
+       " 93 |       M |  287 |  27 |  11\n",
+       " 93 |       F |  906 |  74 |  37\n",
+       " 94 |       B |  976 |  88 |  26\n",
+       " 94 |       M |  237 |  23 |   5\n",
+       " 94 |       F |  739 |  65 |  21\n",
+       " 95 |       B |  720 |  72 |  26\n",
+       " 95 |       M |  154 |  19 |   7\n",
+       " 95 |       F |  566 |  53 |  19"
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# you can also add something at the start of an axis\n",
+    "pop = pop.prepend(x.sex, pop.sum(x.sex), 'B')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "sex |   B |   M |   F\n",
+       "    | 0.0 | 0.0 | 0.0"
+      ]
+     },
+     "execution_count": 145,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "aliens = la.zeros(pop.axes['sex'])\n",
+    "aliens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO | NEU | AL\n",
+       " 90 |       B | 2016 | 210 |  79 |  0\n",
+       " 90 |       M |  539 |  74 |  25 |  0\n",
+       " 90 |       F | 1477 | 136 |  54 |  0\n",
+       " 91 |       B | 1797 | 154 |  48 |  0\n",
+       " 91 |       M |  499 |  49 |  15 |  0\n",
+       " 91 |       F | 1298 | 105 |  33 |  0\n",
+       " 92 |       B | 1473 | 113 |  40 |  0\n",
+       " 92 |       M |  332 |  35 |  12 |  0\n",
+       " 92 |       F | 1141 |  78 |  28 |  0\n",
+       " 93 |       B | 1193 | 101 |  48 |  0\n",
+       " 93 |       M |  287 |  27 |  11 |  0\n",
+       " 93 |       F |  906 |  74 |  37 |  0\n",
+       " 94 |       B |  976 |  88 |  26 |  0\n",
+       " 94 |       M |  237 |  23 |   5 |  0\n",
+       " 94 |       F |  739 |  65 |  21 |  0\n",
+       " 95 |       B |  720 |  72 |  26 |  0\n",
+       " 95 |       M |  154 |  19 |   7 |  0\n",
+       " 95 |       F |  566 |  53 |  19 |  0"
+      ]
+     },
+     "execution_count": 146,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop = pop.append(x.nat, aliens, 'AL')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extend"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Extend an array along an axis with another array *with* that axis (but other labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO\n",
+       " 90 |       M |  539 |  74\n",
+       " 90 |       F | 1477 | 136\n",
+       " 91 |       M |  499 |  49\n",
+       " 91 |       F | 1298 | 105\n",
+       " 92 |       M |  332 |  35\n",
+       " 92 |       F | 1141 |  78\n",
+       " 93 |       M |  287 |  27\n",
+       " 93 |       F |  906 |  74\n",
+       " 94 |       M |  237 |  23\n",
+       " 94 |       F |  739 |  65\n",
+       " 95 |       M |  154 |  19\n",
+       " 95 |       F |  566 |  53\n",
+       " 96 |       M |   80 |   9\n",
+       " 96 |       F |  327 |  25\n",
+       " 97 |       M |   43 |   9\n",
+       " 97 |       F |  171 |  21\n",
+       " 98 |       M |   23 |   4\n",
+       " 98 |       F |  135 |   9\n",
+       " 99 |       M |   20 |   2\n",
+       " 99 |       F |   92 |   8\n",
+       "100 |       M |   12 |   0\n",
+       "100 |       F |   60 |   3"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95] \n",
+    "pop_next = la.read_csv('pop.csv')[2016, 'BruCap', 96:100]\n",
+    "\n",
+    "# concatenate along age axis\n",
+    "pop.extend(x.age, pop_next)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Stack"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Stack several arrays together to create an entirely new dimension"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO | NEU\n",
+       " 90 |       M |  539 |  74 |  25\n",
+       " 90 |       F | 1477 | 136 |  54\n",
+       " 91 |       M |  499 |  49 |  15\n",
+       " 91 |       F | 1298 | 105 |  33\n",
+       " 92 |       M |  332 |  35 |  12\n",
+       " 92 |       F | 1141 |  78 |  28\n",
+       " 93 |       M |  287 |  27 |  11\n",
+       " 93 |       F |  906 |  74 |  37\n",
+       " 94 |       M |  237 |  23 |   5\n",
+       " 94 |       F |  739 |  65 |  21\n",
+       " 95 |       M |  154 |  19 |   7\n",
+       " 95 |       F |  566 |  53 |  19"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)\n",
+    "pop_be, pop_fo = pop['BE'], pop['FO']\n",
+    "\n",
+    "# first way to stack them\n",
+    "nat = la.Axis('nat', ['BE', 'FO', 'NEU'])\n",
+    "pop = la.stack([pop_be, pop_fo, pop_non_eu], nat)\n",
+    "\n",
+    "# second way\n",
+    "pop = la.stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')\n",
+    "\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sorting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sort an axis (alphabetically if labels are strings)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |   BE |  FO | NEU\n",
+       " 90 |       M |  539 |  74 |  25\n",
+       " 90 |       F | 1477 | 136 |  54\n",
+       " 91 |       M |  499 |  49 |  15\n",
+       " 91 |       F | 1298 | 105 |  33\n",
+       " 92 |       M |  332 |  35 |  12\n",
+       " 92 |       F | 1141 |  78 |  28\n",
+       " 93 |       M |  287 |  27 |  11\n",
+       " 93 |       F |  906 |  74 |  37\n",
+       " 94 |       M |  237 |  23 |   5\n",
+       " 94 |       F |  739 |  65 |  21\n",
+       " 95 |       M |  154 |  19 |   7\n",
+       " 95 |       F |  566 |  53 |  19"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop_sorted = pop.sort_axis(x.nat)\n",
+    "pop_sorted"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Give labels which would sort the axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO | NEU\n",
+       " 90 |       0 |  M |  M |   M\n",
+       " 90 |       1 |  F |  F |   F\n",
+       " 91 |       0 |  M |  M |   M\n",
+       " 91 |       1 |  F |  F |   F\n",
+       " 92 |       0 |  M |  M |   M\n",
+       " 92 |       1 |  F |  F |   F\n",
+       " 93 |       0 |  M |  M |   M\n",
+       " 93 |       1 |  F |  F |   F\n",
+       " 94 |       0 |  M |  M |   M\n",
+       " 94 |       1 |  F |  F |   F\n",
+       " 95 |       0 |  M |  M |   M\n",
+       " 95 |       1 |  F |  F |   F"
+      ]
+     },
+     "execution_count": 150,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop_sorted.argsort(x.sex)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sort according to values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | NEU |  FO |   BE\n",
+       " 90 |       M |  25 |  74 |  539\n",
+       " 90 |       F |  54 | 136 | 1477\n",
+       " 91 |       M |  15 |  49 |  499\n",
+       " 91 |       F |  33 | 105 | 1298\n",
+       " 92 |       M |  12 |  35 |  332\n",
+       " 92 |       F |  28 |  78 | 1141\n",
+       " 93 |       M |  11 |  27 |  287\n",
+       " 93 |       F |  37 |  74 |  906\n",
+       " 94 |       M |   5 |  23 |  237\n",
+       " 94 |       F |  21 |  65 |  739\n",
+       " 95 |       M |   7 |  19 |  154\n",
+       " 95 |       F |  19 |  53 |  566"
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop_sorted.sort_values((90, 'F'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Create a plot (last axis define the different curves to draw)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x235eff9a6a0>"
+      ]
+     },
+     "execution_count": 152,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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1MhJzzz2H3te8OYwcKQWSd9+d/tiU8pvoIkeQFRbTpk1j1apVnBLVdnjt2rVM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\nQRAEQRAEtxHhIAiCIAiC2/x/Grsc0sY1nYQAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x235eff9f358>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pop.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x235ef8874e0>"
+      ]
+     },
+     "execution_count": 153,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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pli5dGkKFwVCwKIPkZOjZ0/dcfPst/PijDxQpKXDTTdC+Pey7LwwfDrNmwebNu39NERGJ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\nIiIiEhgFCxEREQmMgoWIiIgE5v8DD3O/eujAwa8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x235ef484be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot total of both sex\n",
+    "pop.sum(x.sex).plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Interesting methods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "102 |       M |  8 |  0\n",
+       "102 |       F | 26 |  1\n",
+       "103 |       M |  2 |  1\n",
+       "103 |       F | 17 |  2\n",
+       "104 |       M |  2 |  1\n",
+       "104 |       F | 14 |  0\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  2 |  2"
+      ]
+     },
+     "execution_count": 154,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# starting array\n",
+    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### with total"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Add totals to one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 |  0\n",
+       "100 |       F | 60 |  3\n",
+       "100 |       B | 72 |  3\n",
+       "101 |       M | 12 |  2\n",
+       "101 |       F | 66 |  5\n",
+       "101 |       B | 78 |  7\n",
+       "102 |       M |  8 |  0\n",
+       "102 |       F | 26 |  1\n",
+       "102 |       B | 34 |  1\n",
+       "103 |       M |  2 |  1\n",
+       "103 |       F | 17 |  2\n",
+       "103 |       B | 19 |  3\n",
+       "104 |       M |  2 |  1\n",
+       "104 |       F | 14 |  0\n",
+       "104 |       B | 16 |  1\n",
+       "105 |       M |  0 |  0\n",
+       "105 |       F |  2 |  2\n",
+       "105 |       B |  2 |  2"
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.with_total(x.sex, label='B')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Add totals to all axes at once"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "  age | sex\\nat |  BE | FO | total\n",
+       "  100 |       M |  12 |  0 |    12\n",
+       "  100 |       F |  60 |  3 |    63\n",
+       "  100 |   total |  72 |  3 |    75\n",
+       "  101 |       M |  12 |  2 |    14\n",
+       "  101 |       F |  66 |  5 |    71\n",
+       "  101 |   total |  78 |  7 |    85\n",
+       "  102 |       M |   8 |  0 |     8\n",
+       "  102 |       F |  26 |  1 |    27\n",
+       "  102 |   total |  34 |  1 |    35\n",
+       "  103 |       M |   2 |  1 |     3\n",
+       "  103 |       F |  17 |  2 |    19\n",
+       "  103 |   total |  19 |  3 |    22\n",
+       "  104 |       M |   2 |  1 |     3\n",
+       "  104 |       F |  14 |  0 |    14\n",
+       "  104 |   total |  16 |  1 |    17\n",
+       "  105 |       M |   0 |  0 |     0\n",
+       "  105 |       F |   2 |  2 |     4\n",
+       "  105 |   total |   2 |  2 |     4\n",
+       "total |       M |  36 |  4 |    40\n",
+       "total |       F | 185 | 13 |   198\n",
+       "total |   total | 221 | 17 |   238"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# by default label is 'total'\n",
+    "pop.with_total()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### where"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "where can be used to apply some compution depending on a condition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat |  BE | FO\n",
+       "100 |       M | -12 |  0\n",
+       "100 |       F | -60 |  0\n",
+       "101 |       M | -12 |  0\n",
+       "101 |       F | -66 |  0\n",
+       "102 |       M |   0 |  0\n",
+       "102 |       F | -26 |  0\n",
+       "103 |       M |   0 |  0\n",
+       "103 |       F | -17 |  0\n",
+       "104 |       M |   0 |  0\n",
+       "104 |       F | -14 |  0\n",
+       "105 |       M |   0 |  0\n",
+       "105 |       F |   0 |  0"
+      ]
+     },
+     "execution_count": 157,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# where(condition, value if true, value if false)\n",
+    "la.where(pop < 10, 0, -pop)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### clip"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set all data between a certain range"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age | sex\\nat | BE | FO\n",
+       "100 |       M | 12 | 10\n",
+       "100 |       F | 50 | 10\n",
+       "101 |       M | 12 | 10\n",
+       "101 |       F | 50 | 10\n",
+       "102 |       M | 10 | 10\n",
+       "102 |       F | 26 | 10\n",
+       "103 |       M | 10 | 10\n",
+       "103 |       F | 17 | 10\n",
+       "104 |       M | 10 | 10\n",
+       "104 |       F | 14 | 10\n",
+       "105 |       M | 10 | 10\n",
+       "105 |       F | 10 | 10"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# clip(min, max)\n",
+    "# values below 10 are set to 10 and values above 50 are set to 50\n",
+    "pop.clip(10, 50)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### divnot0"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Replace division by 0 to 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\sex |   M |    F\n",
+       "    100 | inf | 20.0\n",
+       "    101 | 6.0 | 13.2\n",
+       "    102 | inf | 26.0\n",
+       "    103 | 2.0 |  8.5\n",
+       "    104 | 2.0 |  inf\n",
+       "    105 | nan |  1.0"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop['BE'] / pop['FO']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "age\\sex |   M |    F\n",
+       "    100 | 0.0 | 20.0\n",
+       "    101 | 6.0 | 13.2\n",
+       "    102 | 0.0 | 26.0\n",
+       "    103 | 2.0 |  8.5\n",
+       "    104 | 2.0 |  0.0\n",
+       "    105 | 0.0 |  1.0"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# divnot0 replaces results of division by 0 by 0. \n",
+    "# Using it should be done with care though\n",
+    "# because it can hide a real error in your data.\n",
+    "pop['BE'].divnot0(pop['FO'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### diff"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "*diff* calculates the n-th order discrete difference along given axis. \n",
+    "The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |   BE |   FO\n",
+       "2005 |       M | 4289 | 1591\n",
+       "2005 |       F | 4661 | 1584\n",
+       "2006 |       M | 4335 | 1761\n",
+       "2006 |       F | 4781 | 1580\n",
+       "2007 |       M | 4291 | 1806\n",
+       "2007 |       F | 4719 | 1650\n",
+       "2008 |       M | 4349 | 1773\n",
+       "2008 |       F | 4731 | 1680\n",
+       "2009 |       M | 4429 | 2003\n",
+       "2009 |       F | 4824 | 1722\n",
+       "2010 |       M | 4582 | 2085\n",
+       "2010 |       F | 4869 | 1928\n",
+       "2011 |       M | 4677 | 2294\n",
+       "2011 |       F | 5015 | 2104\n",
+       "2012 |       M | 4463 | 2450\n",
+       "2012 |       F | 4722 | 2186\n",
+       "2013 |       M | 4610 | 2604\n",
+       "2013 |       F | 4711 | 2254\n",
+       "2014 |       M | 4725 | 2709\n",
+       "2014 |       F | 4788 | 2349\n",
+       "2015 |       M | 4841 | 2891\n",
+       "2015 |       F | 4813 | 2498"
+      ]
+     },
+     "execution_count": 161,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop = la.read_csv('pop.csv')[2005:2015, 'BruCap', 50]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |   BE |  FO\n",
+       "2006 |       M |   46 | 170\n",
+       "2006 |       F |  120 |  -4\n",
+       "2007 |       M |  -44 |  45\n",
+       "2007 |       F |  -62 |  70\n",
+       "2008 |       M |   58 | -33\n",
+       "2008 |       F |   12 |  30\n",
+       "2009 |       M |   80 | 230\n",
+       "2009 |       F |   93 |  42\n",
+       "2010 |       M |  153 |  82\n",
+       "2010 |       F |   45 | 206\n",
+       "2011 |       M |   95 | 209\n",
+       "2011 |       F |  146 | 176\n",
+       "2012 |       M | -214 | 156\n",
+       "2012 |       F | -293 |  82\n",
+       "2013 |       M |  147 | 154\n",
+       "2013 |       F |  -11 |  68\n",
+       "2014 |       M |  115 | 105\n",
+       "2014 |       F |   77 |  95\n",
+       "2015 |       M |  116 | 182\n",
+       "2015 |       F |   25 | 149"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# calculates 'pop[year+1] - pop[year]'\n",
+    "pop.diff(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |   BE |  FO\n",
+       "2007 |       M |    2 | 215\n",
+       "2007 |       F |   58 |  66\n",
+       "2008 |       M |   14 |  12\n",
+       "2008 |       F |  -50 | 100\n",
+       "2009 |       M |  138 | 197\n",
+       "2009 |       F |  105 |  72\n",
+       "2010 |       M |  233 | 312\n",
+       "2010 |       F |  138 | 248\n",
+       "2011 |       M |  248 | 291\n",
+       "2011 |       F |  191 | 382\n",
+       "2012 |       M | -119 | 365\n",
+       "2012 |       F | -147 | 258\n",
+       "2013 |       M |  -67 | 310\n",
+       "2013 |       F | -304 | 150\n",
+       "2014 |       M |  262 | 259\n",
+       "2014 |       F |   66 | 163\n",
+       "2015 |       M |  231 | 287\n",
+       "2015 |       F |  102 | 244"
+      ]
+     },
+     "execution_count": 163,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# calculates 'pop[year+2] - pop[year]'\n",
+    "pop.diff(x.time, d=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ratio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |                 BE |                  FO\n",
+       "2005 |       M |  0.729421768707483 |   0.270578231292517\n",
+       "2005 |       F | 0.7463570856685349 |  0.2536429143314652\n",
+       "2006 |       M | 0.7111220472440944 |  0.2888779527559055\n",
+       "2006 |       F | 0.7516113818581984 |  0.2483886181418016\n",
+       "2007 |       M |  0.703788748564868 | 0.29621125143513205\n",
+       "2007 |       F | 0.7409326424870466 | 0.25906735751295334\n",
+       "2008 |       M | 0.7103887618425351 | 0.28961123815746487\n",
+       "2008 |       F | 0.7379503977538605 | 0.26204960224613943\n",
+       "2009 |       M | 0.6885883084577115 | 0.31141169154228854\n",
+       "2009 |       F | 0.7369385884509624 | 0.26306141154903756\n",
+       "2010 |       M | 0.6872656367181641 |  0.3127343632818359\n",
+       "2010 |       F | 0.7163454465205238 |  0.2836545534794762\n",
+       "2011 |       M | 0.6709223927700474 | 0.32907760722995266\n",
+       "2011 |       F | 0.7044528725944655 | 0.29554712740553446\n",
+       "2012 |       M | 0.6455952553160712 | 0.35440474468392885\n",
+       "2012 |       F | 0.6835552982049797 | 0.31644470179502027\n",
+       "2013 |       M | 0.6390352093152204 |  0.3609647906847796\n",
+       "2013 |       F | 0.6763819095477387 |  0.3236180904522613\n",
+       "2014 |       M |  0.635593220338983 |  0.3644067796610169\n",
+       "2014 |       F | 0.6708701134930644 |  0.3291298865069357\n",
+       "2015 |       M | 0.6260993274702535 |  0.3739006725297465\n",
+       "2015 |       F | 0.6583230748187663 | 0.34167692518123377"
+      ]
+     },
+     "execution_count": 164,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.ratio(x.nat)\n",
+    "\n",
+    "# which is equivalent to\n",
+    "pop / pop.sum(x.nat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### percents"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |                 BE |                 FO\n",
+       "2005 |       M |   72.9421768707483 |   27.0578231292517\n",
+       "2005 |       F |  74.63570856685348 | 25.364291433146516\n",
+       "2006 |       M |  71.11220472440945 | 28.887795275590552\n",
+       "2006 |       F |  75.16113818581984 |  24.83886181418016\n",
+       "2007 |       M |   70.3788748564868 | 29.621125143513204\n",
+       "2007 |       F |  74.09326424870466 | 25.906735751295336\n",
+       "2008 |       M |  71.03887618425351 |  28.96112381574649\n",
+       "2008 |       F |  73.79503977538606 | 26.204960224613945\n",
+       "2009 |       M |  68.85883084577114 | 31.141169154228855\n",
+       "2009 |       F |  73.69385884509624 |  26.30614115490376\n",
+       "2010 |       M |  68.72656367181641 | 31.273436328183593\n",
+       "2010 |       F |  71.63454465205237 | 28.365455347947623\n",
+       "2011 |       M |  67.09223927700474 |  32.90776072299526\n",
+       "2011 |       F |  70.44528725944654 | 29.554712740553448\n",
+       "2012 |       M |  64.55952553160712 | 35.440474468392885\n",
+       "2012 |       F |  68.35552982049798 | 31.644470179502026\n",
+       "2013 |       M |  63.90352093152204 |  36.09647906847796\n",
+       "2013 |       F |  67.63819095477388 |  32.36180904522613\n",
+       "2014 |       M | 63.559322033898304 | 36.440677966101696\n",
+       "2014 |       F |  67.08701134930644 |  32.91298865069357\n",
+       "2015 |       M |  62.60993274702535 |  37.39006725297465\n",
+       "2015 |       F |  65.83230748187663 | 34.167692518123374"
+      ]
+     },
+     "execution_count": 165,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# or, if you want the previous ratios in percents\n",
+    "pop.percent(x.nat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### growth_rate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "using the same principle than diff..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |                    BE |                     FO\n",
+       "2006 |       M |  0.010725110748426206 |    0.10685103708359522\n",
+       "2006 |       F |  0.025745548165629694 | -0.0025252525252525255\n",
+       "2007 |       M | -0.010149942329873126 |    0.02555366269165247\n",
+       "2007 |       F | -0.012967998326709893 |    0.04430379746835443\n",
+       "2008 |       M |  0.013516662782568165 |  -0.018272425249169437\n",
+       "2008 |       F | 0.0025429116338207248 |    0.01818181818181818\n",
+       "2009 |       M |   0.01839503334099793 |    0.12972363226170333\n",
+       "2009 |       F |  0.019657577679137603 |                  0.025\n",
+       "2010 |       M |   0.03454504402799729 |   0.040938592111832255\n",
+       "2010 |       F |  0.009328358208955223 |    0.11962833914053426\n",
+       "2011 |       M |   0.02073330423395897 |    0.10023980815347722\n",
+       "2011 |       F |  0.029985623331279524 |     0.0912863070539419\n",
+       "2012 |       M |  -0.04575582638443447 |    0.06800348735832606\n",
+       "2012 |       F |   -0.0584247258225324 |    0.03897338403041825\n",
+       "2013 |       M |   0.03293748599596684 |    0.06285714285714286\n",
+       "2013 |       F | -0.002329521389241847 |    0.03110704483074108\n",
+       "2014 |       M |  0.024945770065075923 |    0.04032258064516129\n",
+       "2014 |       F |   0.01634472511144131 |    0.04214729370008873\n",
+       "2015 |       M |   0.02455026455026455 |    0.06718346253229975\n",
+       "2015 |       F | 0.0052213868003341685 |    0.06343124733929331"
+      ]
+     },
+     "execution_count": 166,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.growth_rate(x.time)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### shift"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The *shift* method drops first label of an axis and shifts all subsequent labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |   BE |   FO\n",
+       "2006 |       M | 4289 | 1591\n",
+       "2006 |       F | 4661 | 1584\n",
+       "2007 |       M | 4335 | 1761\n",
+       "2007 |       F | 4781 | 1580\n",
+       "2008 |       M | 4291 | 1806\n",
+       "2008 |       F | 4719 | 1650\n",
+       "2009 |       M | 4349 | 1773\n",
+       "2009 |       F | 4731 | 1680\n",
+       "2010 |       M | 4429 | 2003\n",
+       "2010 |       F | 4824 | 1722\n",
+       "2011 |       M | 4582 | 2085\n",
+       "2011 |       F | 4869 | 1928\n",
+       "2012 |       M | 4677 | 2294\n",
+       "2012 |       F | 5015 | 2104\n",
+       "2013 |       M | 4463 | 2450\n",
+       "2013 |       F | 4722 | 2186\n",
+       "2014 |       M | 4610 | 2604\n",
+       "2014 |       F | 4711 | 2254\n",
+       "2015 |       M | 4725 | 2709\n",
+       "2015 |       F | 4788 | 2349"
+      ]
+     },
+     "execution_count": 167,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.shift(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time* | sex\\nat |   BE |   FO\n",
+       "    0 |       M | True | True\n",
+       "    0 |       F | True | True\n",
+       "    1 |       M | True | True\n",
+       "    1 |       F | True | True\n",
+       "    2 |       M | True | True\n",
+       "    2 |       F | True | True\n",
+       "    3 |       M | True | True\n",
+       "    3 |       F | True | True\n",
+       "    4 |       M | True | True\n",
+       "    4 |       F | True | True\n",
+       "    5 |       M | True | True\n",
+       "    5 |       F | True | True\n",
+       "    6 |       M | True | True\n",
+       "    6 |       F | True | True\n",
+       "    7 |       M | True | True\n",
+       "    7 |       F | True | True\n",
+       "    8 |       M | True | True\n",
+       "    8 |       F | True | True\n",
+       "    9 |       M | True | True\n",
+       "    9 |       F | True | True"
+      ]
+     },
+     "execution_count": 168,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# when shift is applied on an (increasing) time axis, it effectively brings \"past\" data into the future\n",
+    "pop.shift(x.time).drop_labels(x.time) == pop[2005:2014].drop_labels(x.time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time | sex\\nat |   BE |  FO\n",
+       "2006 |       M |   46 | 170\n",
+       "2006 |       F |  120 |  -4\n",
+       "2007 |       M |  -44 |  45\n",
+       "2007 |       F |  -62 |  70\n",
+       "2008 |       M |   58 | -33\n",
+       "2008 |       F |   12 |  30\n",
+       "2009 |       M |   80 | 230\n",
+       "2009 |       F |   93 |  42\n",
+       "2010 |       M |  153 |  82\n",
+       "2010 |       F |   45 | 206\n",
+       "2011 |       M |   95 | 209\n",
+       "2011 |       F |  146 | 176\n",
+       "2012 |       M | -214 | 156\n",
+       "2012 |       F | -293 |  82\n",
+       "2013 |       M |  147 | 154\n",
+       "2013 |       F |  -11 |  68\n",
+       "2014 |       M |  115 | 105\n",
+       "2014 |       F |   77 |  95\n",
+       "2015 |       M |  116 | 182\n",
+       "2015 |       F |   25 | 149"
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this is mostly useful when you want to do operations between the past and now\n",
+    "# as an example, here is an alternative implementation of the .diff method seen above:\n",
+    "pop.i[1:] - pop.shift(x.time)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Misc other interesting functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There are a lot more functions available: \n",
+    "- round, floor, ceil, trunc, \n",
+    "- exp, log, log10, \n",
+    "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
+    "- sin, cos, tan, arcsin, arccos, arctan\n",
+    "- ...\n",
+    "- and many many more..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sessions (Experimental)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can group several arrays in a *Session*"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(household, pop, mortality)"
+      ]
+     },
+     "execution_count": 170,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# load several arrays\n",
+    "household = la.read_csv('hh.csv')\n",
+    "pop = la.read_csv('pop.csv')\n",
+    "mortality = la.read_csv('qx.csv')\n",
+    "\n",
+    "# create and populate a 'session'\n",
+    "s1 = la.Session()\n",
+    "s1.household = household\n",
+    "s1.pop = pop\n",
+    "s1.mortality = mortality\n",
+    "\n",
+    "s1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The advantage of sessions is that you can manipulate all of the arrays in them in one shot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
+    "s1.dump('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
+    "s1.dump('test.h5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(household, mortality, pop)"
+      ]
+     },
+     "execution_count": 173,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# this creates a session out of all arrays in the .h5 file\n",
+    "s2 = la.Session('test.h5')\n",
+    "s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'ValueError'> total size of new array must be unchanged\n"
+     ]
+    }
+   ],
+   "source": [
+    "# the excel version does not work currently (axes are not detected properly)\n",
+    "with ExCtx():\n",
+    "    s3 = la.Session('test.xlsx')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can compare two sessions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name | household |  pop | mortality\n",
+       "     |      True | True |      True"
+      ]
+     },
+     "execution_count": 175,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1 == s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# let us introduce a difference (a variant, or a mistake perhaps)\n",
+    "s2.pop['F', 2010:] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name | household |   pop | mortality\n",
+       "     |      True | False |      True"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1 == s2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(pop)"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s1_diff = s1[s1 != s2]\n",
+    "s1_diff"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Session(pop)"
+      ]
+     },
+     "execution_count": 179,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s2_diff = s2[s1 != s2]\n",
+    "s2_diff"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This a bit experimental but can be usefull nonetheless (Open a graphical interface)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "la.compare(s1_diff.pop, s2_diff.pop)"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [conda root]",
+   "language": "python",
+   "name": "conda-root-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/doc/source/notebooks/data2.h5 b/doc/source/notebooks/data2.h5
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diff --git a/doc/source/notebooks/hh2.csv b/doc/source/notebooks/hh2.csv
new file mode 100644
index 000000000..ab62a8759
--- /dev/null
+++ b/doc/source/notebooks/hh2.csv
@@ -0,0 +1,79 @@
+time,geo\hh_type,SING,'MAR0,MAR+,UNM0,UNM+,H1P,OTHR
+1991,BruCap,246263,75989,98036,6121,5095,44054,6360
+1991,Fla,557046,554965,880325,38991,24785,147780,28348
+1991,Wal,384482,274117,450679,27521,26015,120647,18955
+1992,BruCap,242368,75046,96480,6719,5593,43537,6292
+1992,Fla,563347,562400,877519,42615,26940,149289,27148
+1992,Wal,389439,275071,448940,29187,28226,122574,19158
+1993,BruCap,243432,74417,95132,7484,6220,43637,6168
+1993,Fla,571006,567981,873498,46246,29187,152090,27866
+1993,Wal,394258,275726,446173,31171,30723,125291,19282
+1994,BruCap,238869,74416,94375,8781,6951,43691,5641
+1994,Fla,577013,571758,867501,51174,31857,154880,28184
+1994,Wal,394782,275362,442349,34259,33453,127738,19526
+1995,BruCap,236871,74317,94037,9585,7498,43642,5639
+1995,Fla,586122,577144,859552,56130,34398,158131,28513
+1995,Wal,397818,275882,437342,37157,35784,130434,19920
+1996,BruCap,235983,72847,92686,10182,7909,43668,5932
+1996,Fla,597123,581802,850463,60907,36853,161140,28698
+1996,Wal,403028,275803,430858,39458,37889,133585,20270
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diff --git a/doc/source/notebooks/test.h5 b/doc/source/notebooks/test.h5
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HcmV?d00001


From 77605605f9b590c4956163fcc925d96457e2939c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 11:11:44 +0100
Subject: [PATCH 402/899] Added change log for version 0.21

---
 doc/source/changes.rst | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5a6d4c499..3035737ef 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -13,4 +13,7 @@ Version 0.20
 
 .. include:: ./changes/version_0_20.rst.inc
 
+Version 0.21
+============
 
+.. include:: ./changes/version_0_21.rst.inc

From 5c0b38bd98d64b5cbdcaaec97aa948aa684868d8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 11:48:51 +0100
Subject: [PATCH 403/899] removed intro from index.rst + changed hierarchy of
 Update section in README.rst

---
 README.rst           | 2 +-
 doc/source/index.rst | 1 -
 2 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/README.rst b/README.rst
index 2f7691e38..71491e39b 100644
--- a/README.rst
+++ b/README.rst
@@ -106,7 +106,7 @@ For plotting
 
 
 Update
-======
+------
 
 If larray has been installed through conda, update
 is done via ::
diff --git a/doc/source/index.rst b/doc/source/index.rst
index ad42d2327..f974e8612 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -6,7 +6,6 @@ Contents:
 .. toctree::
    :maxdepth: 2
 
-   intro
    install
    notebooks/LArray_intro.ipynb
    api

From b6dd589580c75a7b668757cdecab025de4c90beb Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 11:54:16 +0100
Subject: [PATCH 404/899] Added methods XXX_by in api.rst

---
 doc/source/api.rst | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index a485624ea..08833b7b6 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -206,14 +206,21 @@ Aggregation Functions
    :toctree: _generated/
 
    LArray.sum
+   LArray.sum_by
    LArray.prod
+   LArray.prod_by
    LArray.cumsum
    LArray.cumprod
    LArray.mean
+   LArray.mean_by
    LArray.median
+   LArray.median_by
    LArray.var
+   LArray.var_by
    LArray.std
+   LArray.std_by
    LArray.percentile
+   LArray.percentile_by
    LArray.ptp
    LArray.with_total
    LArray.percent
@@ -254,9 +261,13 @@ Testing/Searching
 
    LArray.nonzero
    LArray.all
+   LArray.all_by
    LArray.any
+   LArray.any_by
    LArray.min
+   LArray.min_by
    LArray.max
+   LArray.max_by
    LArray.argmin
    LArray.posargmin
    LArray.argmax

From a7eb92dc6185487d73211ab4ecf60d384370f785 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 11:59:30 +0100
Subject: [PATCH 405/899] Updated api.rst

---
 doc/source/api.rst | 90 ++++++++++++++++++++++++++--------------------
 1 file changed, 52 insertions(+), 38 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 08833b7b6..a1caa1e5f 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -146,15 +146,6 @@ LArray
    :toctree: _generated/
 
    LArray
-   LArray.info
-   LArray.shape
-   LArray.ndim
-   LArray.dtype
-   LArray.size
-   LArray.nbytes
-   LArray.memory_used
-   LArray.astype
-   LArray.copy
 
 Array Creation Functions
 ------------------------
@@ -174,6 +165,29 @@ Array Creation Functions
    full
    full_like
 
+Copying
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.copy
+
+Inspecting
+----------
+
+.. autosummary::
+   :toctree: _generated/
+
+   LArray.info
+   LArray.shape
+   LArray.ndim
+   LArray.dtype
+   LArray.size
+   LArray.nbytes
+   LArray.memory_used
+   LArray.astype
+
 Modifying/Selecting
 -------------------
 
@@ -305,25 +319,6 @@ Plotting
 
    LArray.plot
 
-Session
-=======
-
-.. autosummary::
-   :toctree: _generated/
-
-   Session
-   Session.names
-   Session.add
-   Session.get
-   Session.load
-   Session.dump
-   Session.dump_csv
-   Session.dump_excel
-   Session.dump_hdf
-   Session.filter
-   Session.compact
-   Session.copy
-
 Input/Output
 ============
 
@@ -350,16 +345,6 @@ Write
    LArray.to_excel
    LArray.to_hdf
 
-Viewer
-======
-
-.. autosummary::
-   :toctree: _generated/
-
-   view
-   edit
-   compare
-
 Miscellaneous
 =============
 
@@ -375,3 +360,32 @@ Miscellaneous
    diag
    eye
    ipfp
+
+Session
+=======
+
+.. autosummary::
+   :toctree: _generated/
+
+   Session
+   Session.names
+   Session.add
+   Session.get
+   Session.load
+   Session.dump
+   Session.dump_csv
+   Session.dump_excel
+   Session.dump_hdf
+   Session.filter
+   Session.compact
+   Session.copy
+
+Viewer
+======
+
+.. autosummary::
+   :toctree: _generated/
+
+   view
+   edit
+   compare

From 54304f9f5a81feeff1216d2f6bd4934890161540 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 12:33:56 +0100
Subject: [PATCH 406/899] Added list of subsections at the section LArray in
 api.rst

---
 doc/source/api.rst | 44 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index a1caa1e5f..088178b8b 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -142,11 +142,33 @@ Testing
 LArray
 ======
 
+* :ref:`la_overview`
+* :ref:`la_creation_func`
+* :ref:`la_copying`
+* :ref:`la_inspecting`
+* :ref:`la_selecting`
+* :ref:`la_axes_labels`
+* :ref:`la_agg`
+* :ref:`la_sorting`
+* :ref:`la_reshaping`
+* :ref:`la_testing`
+* :ref:`la_misc`
+* :ref:`la_to_pandas`
+* :ref:`la_plotting`
+
+
+.. _la_overview:
+
+Overview
+--------
+
 .. autosummary::
    :toctree: _generated/
 
    LArray
 
+.. _la_creation_func:
+
 Array Creation Functions
 ------------------------
 
@@ -165,6 +187,8 @@ Array Creation Functions
    full
    full_like
 
+.. _la_copying:
+
 Copying
 -------
 
@@ -173,6 +197,8 @@ Copying
 
    LArray.copy
 
+.. _la_inspecting:
+
 Inspecting
 ----------
 
@@ -188,6 +214,8 @@ Inspecting
    LArray.memory_used
    LArray.astype
 
+.. _la_selecting:
+
 Modifying/Selecting
 -------------------
 
@@ -201,6 +229,8 @@ Modifying/Selecting
    LArray.drop_labels
    LArray.filter
 
+.. _la_axes_labels:
+
 Changing Axes or Labels
 -----------------------
 
@@ -213,6 +243,8 @@ Changing Axes or Labels
    LArray.combine_axes
    LArray.split_axis
 
+.. _la_agg:
+
 Aggregation Functions
 ---------------------
 
@@ -240,6 +272,8 @@ Aggregation Functions
    LArray.percent
    LArray.growth_rate
 
+.. _la_sorting:
+
 Sorting
 -------
 
@@ -251,6 +285,8 @@ Sorting
    LArray.argsort
    LArray.posargsort
 
+.. _la_reshaping:
+
 Reshaping/Extending/Reordering
 ------------------------------
 
@@ -267,6 +303,8 @@ Reshaping/Extending/Reordering
    LArray.extend
    LArray.broadcast_with
 
+.. _la_testing:
+
 Testing/Searching
 -----------------
 
@@ -287,6 +325,8 @@ Testing/Searching
    LArray.argmax
    LArray.posargmax
 
+.. _la_misc:
+
 Miscellaneous
 -------------
 
@@ -302,6 +342,8 @@ Miscellaneous
    LArray.diff
    LArray.to_clipboard
 
+.. _la_to_pandas:
+
 Converting to Pandas objects
 ----------------------------
 
@@ -311,6 +353,8 @@ Converting to Pandas objects
    LArray.to_series
    LArray.to_frame
 
+.. _la_plotting:
+
 Plotting
 --------
 

From 61886724805bad7f079d676ed6e6fed5b598ac79 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Mar 2017 13:33:39 +0100
Subject: [PATCH 407/899] Reversed order in change.rst

---
 doc/source/changes.rst | 12 ++++++------
 doc/source/conf.py     |  6 +++---
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 3035737ef..67335258b 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -3,17 +3,17 @@
 Change log
 ##########
 
-Version 0.1
-===========
+Version 0.21
+============
 
-Released on 2014-10-22.
+.. include:: ./changes/version_0_21.rst.inc
 
 Version 0.20
 ============
 
 .. include:: ./changes/version_0_20.rst.inc
 
-Version 0.21
-============
+Version 0.1
+===========
 
-.. include:: ./changes/version_0_21.rst.inc
+Released on 2014-10-22.
diff --git a/doc/source/conf.py b/doc/source/conf.py
index cb5204d8c..3070a6088 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -222,7 +222,7 @@
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
   ('index', 'larray.tex', 'LArray Documentation',
-   'Gaëtan de Menten, Geert Bryon, Johan Duyck', 'manual'),
+   'Gaëtan de Menten, Geert Bryon, Johan Duyck, Alix Damman', 'manual'),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
@@ -252,7 +252,7 @@
 # (source start file, name, description, authors, manual section).
 man_pages = [
     ('index', 'larray', 'LArray Documentation',
-     ['Gaëtan de Menten, Geert Bryon, Johan Duyck'], 1)
+     ['Gaëtan de Menten, Geert Bryon, Johan Duyck, Alix Damman'], 1)
 ]
 
 # If true, show URL addresses after external links.
@@ -268,7 +268,7 @@
   ('index',
    'LArray',
    'LArray Documentation',
-   'Gaëtan de Menten, Geert Bryon, Johan Duyck',
+   'Gaëtan de Menten, Geert Bryon, Johan Duyck, Alix Damman',
    'LArray',
    'One line description of project.',
    'Miscellaneous'),

From 167ba9e76c36db62078318290502810aea25e84b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 14 Mar 2017 16:22:59 +0100
Subject: [PATCH 408/899] * implemented larray_nan_equal and use it when
 comparing sessions * also adds nan in larray namespace

---
 larray/core.py    | 87 ++++++++++++++++++++++++++++++++++++++++-------
 larray/session.py |  5 ++-
 2 files changed, 76 insertions(+), 16 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 470b684d1..a14cd33f8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -13,9 +13,10 @@
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
     'ndtest', 'from_lists', 'from_string',
     'identity', 'diag', 'eye',
-    'larray_equal', 'aslarray',
+    'larray_equal', 'larray_nan_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
     'ptp', 'var', 'std', 'median', 'percentile',
+    'nan',
     '__version__'
 ]
 
@@ -115,6 +116,9 @@
                           skip_comment_cells, find_closing_chr, StringIO, PY3)
 
 
+nan = np.nan
+
+
 def _range_to_slice(seq, length=None):
     """
     Returns a slice if possible (including for sequences of 1 element)
@@ -713,8 +717,8 @@ def union(*args):
 
 def larray_equal(first, other):
     """
-    Compares two arrays and returns True if they have the
-    same axes and elements, False otherwise.
+    Compares two arrays and returns True if they have the same axes and elements (and do not contain nan values,
+    see note below), False otherwise.
 
     Parameters
     ----------
@@ -724,21 +728,34 @@ def larray_equal(first, other):
     Returns
     -------
     bool
-        Returns True if the arrays are equal.
+        Returns True if the arrays are equal (and do not contain nan values).
+
+    Note
+    ----
+
+    An array containing nan values is never equal to another array, even if that other array also contains nan values at
+    the same positions. The reason is that a nan value is different from *anything*, including itself. One might want
+    to use larray_nan_equal to avoid this behavior.
+
+    See Also
+    --------
+    larray_nan_equal
 
     Examples
     --------
-    >>> age = Axis('age', range(0, 100, 10))
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> a = ndrange([age, sex])
-    >>> b = a.copy()
-    >>> larray_equal(a, b)
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> arr2 = arr1.copy()
+    >>> larray_equal(arr1, arr2)
     True
-    >>> b['F'] += 1
-    >>> larray_equal(a, b)
+    >>> arr2['b1'] += 1
+    >>> larray_equal(arr1, arr2)
     False
-    >>> b = a.set_labels(x.sex, ['Men', 'Women'])
-    >>> larray_equal(a, b)
+    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> larray_equal(arr1, arr2)
     False
     """
     if not isinstance(first, LArray) or not isinstance(other, LArray):
@@ -747,6 +764,50 @@ def larray_equal(first, other):
             np.array_equal(np.asarray(first), np.asarray(other)))
 
 
+def larray_nan_equal(first, other):
+    """
+    Compares two arrays and returns True if they have the same axes and elements, False otherwise.
+
+    Parameters
+    ----------
+    first, other : LArray
+        Input arrays.
+
+    Returns
+    -------
+    bool
+        Returns True if the arrays are equal, even in the presence of nan values (if they are at the same positions).
+
+    See Also
+    --------
+    larray_equal
+
+    Examples
+    --------
+    >>> arr1 = ndtest((2, 3), dtype=float)
+    >>> arr1['a1', 'b1'] = nan
+    >>> arr1
+    a\\b |  b0 |  b1 |  b2
+     a0 | 0.0 | 1.0 | 2.0
+     a1 | 3.0 | nan | 5.0
+    >>> arr2 = arr1.copy()
+    >>> larray_equal(arr1, arr2)
+    False
+    >>> larray_nan_equal(arr1, arr2)
+    True
+    >>> arr2['b1'] += 1
+    >>> larray_nan_equal(arr1, arr2)
+    False
+    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> larray_nan_equal(arr1, arr2)
+    False
+    """
+    if not isinstance(first, LArray) or not isinstance(other, LArray):
+        return False
+    eq = (first == other) | (np.isnan(first) & np.isnan(other))
+    return first.axes == other.axes and all(eq)
+
+
 def _isnoneslice(v):
     """
     Checks if input is slice(None) object.
diff --git a/larray/session.py b/larray/session.py
index 967b33035..3fce06060 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -7,8 +7,7 @@
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, \
-    larray_equal, get_axes
+from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_equal, larray_nan_equal, get_axes
 from .excel import open_excel
 
 
@@ -526,7 +525,7 @@ def __eq__(self, other):
         self_keys = set(self.keys())
         all_keys = list(self.keys()) + [n for n in other.keys()
                                         if n not in self_keys]
-        res = [larray_equal(self.get(key), other.get(key)) for key in all_keys]
+        res = [larray_nan_equal(self.get(key), other.get(key)) for key in all_keys]
         return LArray(res, [Axis('name', all_keys)])
 
     def __ne__(self, other):

From df7db7ea13036041abb234548543693e972e2107 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 20 Mar 2017 16:08:20 +0100
Subject: [PATCH 409/899] added larray_eurostat to larrayenv

---
 make_meta_package.bat | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_meta_package.bat b/make_meta_package.bat
index 2fae30a90..c293f8e65 100644
--- a/make_meta_package.bat
+++ b/make_meta_package.bat
@@ -1 +1 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
\ No newline at end of file
+conda metapackage larrayenv %1 --dependencies "larray ==%1" larray_eurostat qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings

From 6601c0c5459cb78b52232cb754bc46e57b1bd3a6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 21 Mar 2017 14:53:26 +0100
Subject: [PATCH 410/899] better test for LGroup.__repr__

---
 larray/tests/test_la.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 6e3df184e..dab2af931 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -409,6 +409,7 @@ def test_hash(self):
         self.assertEqual(d.get(LGroup(('P01', 'P03', 'P07'))), 3)
 
     def test_repr(self):
+        self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
         self.assertEqual(repr(self.slice_both_named),
                          "LGroup(slice(1, 5, None)) >> 'named'")
         self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")

From 95836dbf21f8fc2c5915b38d56c56bf08a275944 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 22 Mar 2017 12:33:45 +0100
Subject: [PATCH 411/899] added check that we are not beyond our length in
 viewer.Product

---
 larray/viewer.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index f573cfc09..6a0a060f5 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -325,6 +325,8 @@ def __init__(self, arrays):
         self.length = np.prod(shape)
 
     def to_tuple(self, key):
+        if key >= self.length:
+            raise IndexError("index %d out of range for Product of length %d" % (key, self.length))
         return tuple(key // div % mod for div, mod in self.div_mod)
 
     def __len__(self):

From f23886dfb1c9b596f739c98192f061863c80d84e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 22 Mar 2017 12:35:12 +0100
Subject: [PATCH 412/899] simplify and expand viewer.Product doctest

---
 larray/viewer.py | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6a0a060f5..4625f8e93 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -301,20 +301,19 @@ class Product(object):
 
     Examples
     --------
-    >>> age = [10, 11, 12]
-    >>> time = [2007, 2008, 2009]
-    >>> cart_prod = Product([age, time])
-    >>> for i in range(len(cart_prod)):
-    ...     print(cart_prod[i])
-    (10, 2007)
-    (10, 2008)
-    (10, 2009)
-    (11, 2007)
-    (11, 2008)
-    (11, 2009)
-    (12, 2007)
-    (12, 2008)
-    (12, 2009)
+    >>> p = Product([['a', 'b', 'c'], [1, 2]])
+    >>> for i in range(len(p)):
+    ...     print(p[i])
+    ('a', 1)
+    ('a', 2)
+    ('b', 1)
+    ('b', 2)
+    ('c', 1)
+    ('c', 2)
+    >>> p[1:4]
+    [('a', 2), ('b', 1), ('b', 2)]
+    >>> list(p)
+    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
     """
     def __init__(self, arrays):
         self.arrays = arrays

From 5595e42cd82a9107525d960e9b7d4f2f68dbc2a9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 22 Mar 2017 12:39:16 +0100
Subject: [PATCH 413/899] fixed __getitem__(slice) for viewer._LazyDimLabels
 and added doctest

also made __iter__ lazy (which is the whole point of the class)
---
 larray/viewer.py | 33 +++++++++++++++++++++++++++++++--
 1 file changed, 31 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4625f8e93..9ff4ef658 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1678,15 +1678,44 @@ def __len__(self):
 
 
 class _LazyDimLabels(object):
+    """
+    Examples
+    --------
+    >>> p = Product([['a', 'b', 'c'], [1, 2]])
+    >>> list(p)
+    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
+    >>> l0 = _LazyDimLabels(p, 0)
+    >>> l1 = _LazyDimLabels(p, 1)
+    >>> for i in range(len(p)):
+    ...     print(l0[i], l1[i])
+    a 1
+    a 2
+    b 1
+    b 2
+    c 1
+    c 2
+    >>> l0[1:4]
+    ['a', 'b', 'b']
+    >>> l1[1:4]
+    [2, 1, 2]
+    >>> list(l0)
+    ['a', 'a', 'b', 'b', 'c', 'c']
+    >>> list(l1)
+    [1, 2, 1, 2, 1, 2]
+    """
     def __init__(self, prod, i):
         self.prod = prod
         self.i = i
 
     def __iter__(self):
-        return iter(self.prod[:][self.i])
+        return iter(self.prod[i][self.i] for i in range(len(self.prod)))
 
     def __getitem__(self, key):
-        return self.prod[key][self.i]
+        key_prod = self.prod[key]
+        if isinstance(key, slice):
+            return [p[self.i] for p in key_prod]
+        else:
+            return key_prod[self.i]
 
     def __len__(self):
         return len(self.prod)

From b537e83f272e117da2f5e2d05e0cacdce27e2b1c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 22 Mar 2017 12:41:16 +0100
Subject: [PATCH 414/899] fixed plotting in the viewer (broken by PR #144)

---
 larray/viewer.py | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9ff4ef658..9820202ba 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1212,8 +1212,13 @@ def plot(self):
 
         row_min, row_max, col_min, col_max = self._selection_bounds()
         dim_names = self.model().xlabels[0]
+        # label for each selected column
         xlabels = self.model().xlabels[1][col_min:col_max]
-        ylabels = self.model().ylabels[1:][row_min:row_max]
+        # list of selected labels for each index column
+        labels_per_index_column = [col_labels[row_min:row_max] for col_labels in self.model().ylabels[1:]]
+        # list of (str) label for each selected row
+        ylabels = [[str(label) for label in row_labels]
+                   for row_labels in zip(*labels_per_index_column)]
 
         assert data.ndim == 2
 
@@ -1225,19 +1230,17 @@ def plot(self):
         if data.shape[1] == 1:
             # plot one column
             xlabel = ','.join(dim_names[:-1])
-            xticklabels = ['\n'.join([str(ylabels[c][r]) for c in range(len(ylabels))])
-                           for r in range(row_max - row_min)]
-            xdata = np.arange(row_max - row_min, dtype=int)
+            xticklabels = ['\n'.join(ylabels[row]) for row in range(row_max - row_min)]
+            xdata = np.arange(row_max - row_min)
             ax.plot(xdata, data[:, 0])
             ax.set_ylabel(xlabels[0])
         else:
             # plot each row as a line
             xlabel = dim_names[-1]
             xticklabels = [str(label) for label in xlabels]
-            xdata = np.arange(col_max - col_min, dtype=int)
+            xdata = np.arange(col_max - col_min)
             for row in range(len(data)):
-                label = ','.join([str(label) for label in ylabels[row]])
-                ax.plot(xdata, data[row], label=label)
+                ax.plot(xdata, data[row], label=' '.join(ylabels[row]))
 
         # set x axis
         ax.set_xlabel(xlabel)

From c2b4822202fff34f065def33049f85d4015174ff Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 23 Mar 2017 08:18:08 +0100
Subject: [PATCH 415/899] fixed viewer plot for 1D arrays

---
 larray/viewer.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9820202ba..0522ef03d 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1219,6 +1219,9 @@ def plot(self):
         # list of (str) label for each selected row
         ylabels = [[str(label) for label in row_labels]
                    for row_labels in zip(*labels_per_index_column)]
+        # if there is only one dimension, ylabels is empty
+        if not ylabels:
+            ylabels = [[]]
 
         assert data.ndim == 2
 
@@ -1253,7 +1256,7 @@ def plot(self):
         ax.set_xticks(xticks)
         ax.set_xticklabels(xticklabels)
 
-        if data.shape[1] != 1:
+        if data.shape[1] != 1 and ylabels != [[]]:
             # set legend
             # box = ax.get_position()
             # ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])

From a57170a298f7cdc41efd2f22e6985b143b139040 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 15:31:44 +0100
Subject: [PATCH 416/899] fixed labels when group aggregating using positional
 groups

implemented Group.to_label to make this possible
---
 doc/source/changes/version_0_21.rst.inc |  4 +++-
 larray/core.py                          | 21 ++++++++++++++++++++-
 larray/tests/test_la.py                 |  5 +++++
 3 files changed, 28 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index b375f3cc1..f2982282a 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -118,4 +118,6 @@ Fixes
 
 * fixed posargsort labels (closes :issue:`137`).
 
-* viewer : fixed xticklabels when zooming on a plot (closes :issue:`143`)
\ No newline at end of file
+* viewer : fixed xticklabels when zooming on a plot (closes :issue:`143`)
+
+* fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels.
diff --git a/larray/core.py b/larray/core.py
index a14cd33f8..5d63a5d16 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -406,7 +406,7 @@ def _to_tick(v):
     if np.isscalar(v):
         return v
     elif isinstance(v, Group):
-        return v.name if v.name is not None else _to_tick(v.key)
+        return v.name if v.name is not None else _to_tick(v.to_label())
     elif isinstance(v, slice):
         return _slice_to_str(v)
     elif isinstance(v, (tuple, list)):
@@ -2045,6 +2045,9 @@ def translate(self, bound=None, stop=False):
         else:
             raise ValueError("Cannot translate an LGroup without axis")
 
+    def to_label(self):
+        return self.key
+
     def eval(self):
         if isinstance(self.key, slice):
             if isinstance(self.axis, Axis):
@@ -2157,6 +2160,22 @@ def translate(self, bound=None, stop=False):
         else:
             return self.key
 
+    def to_label(self):
+        if isinstance(self.axis, Axis):
+            labels = self.axis.labels
+            key = self.key
+            if isinstance(key, slice):
+                start = labels[key.start] if key.start is not None else None
+                # FIXME: this probably breaks for reverse slices
+                # - 1 because PGroup slice stop is excluded while LGroup slice stop is included
+                stop = labels[key.stop - 1] if key.stop is not None else None
+                return slice(start, stop, key.step)
+            else:
+                # key is a single int or tuple/list/array of them
+                return labels[key]
+        else:
+            raise ValueError("Cannot evaluate a positional group without axis")
+
     def eval(self):
         if isinstance(self.axis, Axis):
             return self.axis.labels[self.key]
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index dab2af931..9210f526a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2525,6 +2525,11 @@ def test_agg_by(self):
         self.assertEqual(res2.shape, (4,))
         assert_array_equal(res2, res.sum(sex, geo=(vla, wal, bru, belgium)))
 
+    def test_agg_pgroup(self):
+        arr = ndtest(3)
+        res = arr.sum((x.a.i[:2], x.a.i[1:]))
+        assert_array_equal(res.a.labels, [':a1', 'a1:'])
+
     def test_ratio(self):
         la = self.larray
         age, geo, sex, lipro = la.axes

From 779d83d8b9a6359f57374671fbe2f3aaec54c761 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 15:34:56 +0100
Subject: [PATCH 417/899] avoid calling _to_key on a group.key since it is
 already done in LGroup.__init__

---
 larray/core.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5d63a5d16..6b8306b59 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -581,8 +581,6 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
     """
     if isinstance(v, tuple):
         return list(v)
-    elif isinstance(v, Group):
-        return v.__class__(_to_key(v.key, stack_depth + 1), v.name, v.axis)
     elif isinstance(v, basestring):
         # axis name
         m = _axis_name_pattern.match(v)
@@ -623,7 +621,7 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
                             for b in v.split(',')]
                 else:
                     return _parse_bound(v, stack_depth + 1, parse_int=parse_single_int)
-    elif v is Ellipsis or np.isscalar(v) or isinstance(v, (slice, list, np.ndarray, LArray, OrderedSet)):
+    elif v is Ellipsis or np.isscalar(v) or isinstance(v, (Group, slice, list, np.ndarray, LArray, OrderedSet)):
         return v
     else:
         raise TypeError("%s has an invalid type (%s) for a key"

From 72f1254cc7cf177888d123e53878528426cd959c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 15:46:44 +0100
Subject: [PATCH 418/899] improved release notes

---
 doc/source/changes/version_0_21.rst.inc | 48 ++++++++++++++-----------
 1 file changed, 28 insertions(+), 20 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index f2982282a..ccc6f952b 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -77,29 +77,36 @@
 Miscellaneous improvements
 --------------------------
 
-* added installation instructions (closes :issue:`101`).
+* viewer: make keyboard shortcuts work even when the focus is not on the array editor widget. It means that,
+  for example, plotting an array (via Ctrl-P) or opening it in Excel (Ctrl-E) can be done directly even when
+  interacting with the list of arrays or within the interactive console (closes :issue:`102`).
+
+* viewer: automatically display plots done in the viewer console (see example below) in a separate window (unless
+  "%matplotlib inline" is used).
+
+    >>> arr = ndtest((3, 3))
+    >>> arr.plot()
 
-* viewer : make shortcuts work even when the focus is not on the array editor widget
-  (ie it is on the array list, or on the interactive console) (closes :issue:`102`).
+* added installation instructions (closes :issue:`101`).
 
 * allowed matrix multiplication (@ operator) between arrays with dimension != 2 (closes :issue:`122`).
 
-* viewer : automatically display plots done in the viewer console in a separate window
-  (unless "%matplotlib inline" is used). Plots can be done via the array widget
-  (using shortcut CTRL+P or right click) or from the console:
+* improved LArray.plot to get nicer plots by default. The axes are transposed compared to what they used to, because
+  the last axis is often used for time series. Also it considers a 1D array like a single series, not N series of 1
+  point.
 
-    >>> arr = ndtest((3, 3))
-    >>> arr.plot()
+* Axis.group and Axis.all are now deprecated (closes :issue:`148`).
+
+    >>> city.group(['London', 'Brussels'], name='capitals')
+    # should be written as:
+    >>> city[['London', 'Brussels']] >> 'capitals'
 
-  Now both methods generate a plot in separate window.
+    and
 
-* improved LArray.plot to get nicer plots by default.
-  The axes are transposed compared to what they used to, because the last axis is often used for time series.
-  Also it considers a 1D array like a single series, not N series of 1 point.
+    >>> city.all()
+    # should be written as:
+    >>> city[:] >> 'all'
 
-* Axis.group and Axis.all are now deprecated
-  (Syntax "age[10:19] >> 'teens'" or "age[:] >> 'all'" must be used instead)
-  (closes :issue:`148`).
 
 Fixes
 -----
@@ -107,17 +114,18 @@ Fixes
 * viewer: allow changing the number of displayed digits even for integer arrays as that makes sense when using
   scientific notation (closes :issue:`100`).
 
-* viewer : fixed opening a viewer via view() edit() or compare() from within the viewer
+* viewer: fixed opening a viewer via view() edit() or compare() from within the viewer
   (closes :issue:`109`)
 
-* viewer : fixed compare() colors when arrays have values which are very close but not exactly equal
+* viewer: fixed compare() colors when arrays have values which are very close but not exactly equal
   (closes :issue:`123`)
 
-* viewer : fixed legend when plotting arbitrary rows (it always displayed the labels of the first rows)
+* viewer: fixed legend when plotting arbitrary rows (it always displayed the labels of the first rows)
   (closes :issue:`136`).
 
-* fixed posargsort labels (closes :issue:`137`).
+* viewer: fixed labels on the x axis when zooming on a plot (closes :issue:`143`)
 
-* viewer : fixed xticklabels when zooming on a plot (closes :issue:`143`)
+* fixed posargsort labels (closes :issue:`137`).
 
 * fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels.
+

From badf207e827a07c2af9f495455652c0c111e1e03 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 15:57:22 +0100
Subject: [PATCH 419/899] implemented Axis.replace

---
 doc/source/changes/version_0_21.rst.inc | 10 ++++++
 larray/core.py                          | 46 +++++++++++++++++++++++++
 2 files changed, 56 insertions(+)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index ccc6f952b..a8b5aca2d 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -42,6 +42,16 @@
             r0 |  0 |  1 |  2
             r1 |  3 |  4 |  5
 
+* implemented Axis.replace to replace some labels from an axis:
+
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> sex
+    Axis('sex', ['M', 'F'])
+    >>> sex.replace('M', 'Male')
+    Axis('sex', ['Male', 'F'])
+    >>> sex.replace({'M': 'Male', 'F': 'Female'})
+    Axis('sex', ['Male', 'Female'])
+
 * implemented from_string() method to create an array from a string:
 
     >>> from_string('''age,nat\\sex, M, F
diff --git a/larray/core.py b/larray/core.py
index 6b8306b59..8a3fcab9f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1643,6 +1643,52 @@ def copy(self):
         new_axis.__sorted_values = self.__sorted_values
         return new_axis
 
+    def replace(self, old, new=None):
+        """
+        Returns a new axis with some labels replaced.
+
+        Parameters
+        ----------
+        old : any scalar (bool, int, str, ...), tuple/list/array of scalars, or a mapping.
+            the label(s) to be replaced. Old can be a mapping {old1: new1, old2: new2, ...}
+        new : any scalar (bool, int, str, ...) or tuple/list/array of scalars, optional
+            the new label(s). This is argument must not be used if old is a mapping.
+
+        Returns
+        -------
+        Axis
+            a new Axis with the old labels replaced by new labels.
+
+        Examples
+        --------
+        >>> sex = Axis('sex', ['M', 'F'])
+        >>> sex
+        Axis('sex', ['M', 'F'])
+        >>> sex.replace('M', 'Male')
+        Axis('sex', ['Male', 'F'])
+        >>> sex.replace({'M': 'Male', 'F': 'Female'})
+        Axis('sex', ['Male', 'Female'])
+        >>> sex.replace(['M', 'F'], ['Male', 'Female'])
+        Axis('sex', ['Male', 'Female'])
+        """
+        if isinstance(old, dict):
+            new = list(old.values())
+            old = list(old.keys())
+        elif np.isscalar(old):
+            assert new is not None and np.isscalar(new)
+            old = [old]
+            new = [new]
+        else:
+            seq = (tuple, list, np.ndarray)
+            assert isinstance(old, seq)
+            assert isinstance(new, seq)
+            assert len(old) == len(new)
+        # using object dtype because new labels length can be larger than the fixed str length in the self.labels array
+        labels = self.labels.astype(object)
+        indices = self.translate(old)
+        labels[indices] = new
+        return Axis(self.name, labels)
+
     # XXX: rename to named like Group?
     def rename(self, name):
         """

From 28ae2e8ab52bd763718db37706de90379a6cf6a9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 17:01:09 +0100
Subject: [PATCH 420/899] improved LArray.set_labels: replace only some labels
 and/or labels of several axes (closes #161)

---
 doc/source/changes/version_0_21.rst.inc | 33 +++++++++++-
 larray/core.py                          | 68 ++++++++++++++++++++-----
 2 files changed, 87 insertions(+), 14 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index a8b5aca2d..612e59782 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -97,7 +97,36 @@ Miscellaneous improvements
     >>> arr = ndtest((3, 3))
     >>> arr.plot()
 
-* added installation instructions (closes :issue:`101`).
+* improved LArray.set_labels to make it possible to replace only some labels of an axis, instead of all of them
+  and to replace labels from several axes at the same time.
+
+    >>> a = ndrange('nat=BE,FO;sex=M,F')
+    >>> a
+    nat\\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+
+    to replace only some labels, one must give a mapping giving the new label for each label to replace
+
+    >>> a.set_labels(x.sex, {'M': 'Men'})
+    nat\\sex | Men | F
+         BE |   0 | 1
+         FO |   2 | 3
+
+    to replace labels for several axes at the same time, one should give a mapping giving the new labels for each
+    changed axis
+
+    >>> a.set_labels({'sex': 'Men,Women', 'nat': 'Belgian,Foreigner'})
+      nat\\sex | Men | Women
+      Belgian |   0 |     1
+    Foreigner |   2 |     3
+
+    one can also replace some labels in several axes by giving a mapping of mappings
+
+    >>> a.set_labels({'sex': {'M': 'Men'}, 'nat': {'BE': 'Belgian'}})
+    nat\\sex | Men | F
+    Belgian |   0 | 1
+         FO |   2 | 3
 
 * allowed matrix multiplication (@ operator) between arrays with dimension != 2 (closes :issue:`122`).
 
@@ -105,6 +134,8 @@ Miscellaneous improvements
   the last axis is often used for time series. Also it considers a 1D array like a single series, not N series of 1
   point.
 
+* added installation instructions (closes :issue:`101`).
+
 * Axis.group and Axis.all are now deprecated (closes :issue:`148`).
 
     >>> city.group(['London', 'Brussels'], name='capitals')
diff --git a/larray/core.py b/larray/core.py
index 8a3fcab9f..248269e1b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1675,13 +1675,13 @@ def replace(self, old, new=None):
             new = list(old.values())
             old = list(old.keys())
         elif np.isscalar(old):
-            assert new is not None and np.isscalar(new)
+            assert new is not None and np.isscalar(new), "%s is not a scalar but a %s" % (new, type(new).__name__)
             old = [old]
             new = [new]
         else:
             seq = (tuple, list, np.ndarray)
-            assert isinstance(old, seq)
-            assert isinstance(new, seq)
+            assert isinstance(old, seq), "%s is not a sequence but a %s" % (old, type(old).__name__)
+            assert isinstance(new, seq), "%s is not a sequence but a %s" % (new, type(new).__name__)
             assert len(old) == len(new)
         # using object dtype because new labels length can be larger than the fixed str length in the self.labels array
         labels = self.labels.astype(object)
@@ -8787,15 +8787,17 @@ def __array__(self, dtype=None):
 
     __array_priority__ = 100
 
-    def set_labels(self, axis, labels, inplace=False):
+    def set_labels(self, axis, labels=None, inplace=False):
         """Replaces the labels of an axis of array.
 
         Parameters
         ----------
-        axis : string or Axis
-            Axis for which we want to replace the labels.
-        labels : int or iterable
-            Integer or list of values usable as the collection of labels for an Axis.
+        axis : string or Axis or dict
+            Axis for which we want to replace labels, or mapping {axis: changes} where changes can either be the
+            complete list of labels or a mapping {old_label: new_label}.
+        labels : int, str, iterable or mapping, optional
+            Integer or list of values usable as the collection of labels for an Axis. If this is mapping, it must be
+            {old_label: new_label}. This argument must not be used if axis is a mapping.
         inplace : bool
             Whether or not to modify the original object or return a new array and leave the original intact.
 
@@ -8811,21 +8813,61 @@ def set_labels(self, axis, labels, inplace=False):
         nat\\sex | M | F
              BE | 0 | 1
              FO | 2 | 3
-        >>> a.set_labels(x.sex, 'Men,Women')
+        >>> a.set_labels(x.sex, ['Men', 'Women'])
         nat\\sex | Men | Women
              BE |   0 |     1
              FO |   2 |     3
-        >>> a.set_labels(x.sex, ['Men', 'Women'])
+
+        when passing a single string as labels, it will be interpreted to create the list of labels, so that one can
+        use the same syntax than during axis creation.
+
+        >>> a.set_labels(x.sex, 'Men,Women')
         nat\\sex | Men | Women
              BE |   0 |     1
              FO |   2 |     3
+
+        to replace only some labels, one must give a mapping giving the new label for each label to replace
+
+        >>> a.set_labels(x.sex, {'M': 'Men'})
+        nat\\sex | Men | F
+             BE |   0 | 1
+             FO |   2 | 3
+
+        to replace labels for several axes at the same time, one should give a mapping giving the new labels for each
+        changed axis
+
+        >>> a.set_labels({'sex': 'Men,Women', 'nat': 'Belgian,Foreigner'})
+          nat\\sex | Men | Women
+          Belgian |   0 |     1
+        Foreigner |   2 |     3
+
+        one can also replace some labels in several axes by giving a mapping of mappings
+
+        >>> a.set_labels({'sex': {'M': 'Men'}, 'nat': {'BE': 'Belgian'}})
+        nat\\sex | Men | F
+        Belgian |   0 | 1
+             FO |   2 | 3
         """
-        axis = self.axes[axis]
+        if isinstance(axis, dict):
+            changes = axis
+        else:
+            changes = {axis: labels}
+        # TODO: we should implement the non-dict behavior in Axis.replace, so that we can simplify this code to:
+        # new_axes = [self.axes[old_axis].replace(axis_changes) for old_axis, axis_changes in changes.items()]
+        new_axes = []
+        for old_axis, axis_changes in changes.items():
+            real_axis = self.axes[old_axis]
+            if isinstance(axis_changes, dict):
+                new_axis = real_axis.replace(axis_changes)
+            else:
+                new_axis = Axis(real_axis.name, axis_changes)
+            new_axes.append(new_axis)
+
         if inplace:
-            axis.labels = labels
+            object.__setattr__(self, 'axes', new_axes)
             return self
         else:
-            return LArray(self.data, self.axes.replace(axis, Axis(axis.name, labels)))
+            return LArray(self.data, self.axes.replace(list(changes.keys()), new_axes))
 
     def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
         return LArray(self.data.astype(dtype, order, casting, subok, copy),

From 38af3a204f5bb0b84e5e2ee4ab72dcef37573239 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 21:13:42 +0100
Subject: [PATCH 421/899] better docstring for AxisCollection.replace

---
 larray/core.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 248269e1b..31d3f31e6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2968,15 +2968,15 @@ def replace(self, old, new):
 
         Parameters
         ----------
-        old : Axis
-            Axis to be replaced
-        new : Axis
-            Axis to be put in place of the `old` axis.
+        old : Axis or list of Axis
+            Axis or axes to be replaced.
+        new : Axis or list of Axis
+            Axis or axes to be put in place of the `old` axis.
 
         Returns
         -------
         AxisCollection
-            New collection with old axis replaced by the new one.
+            New collection with old axes replaced by the new one(s).
 
         Examples
         --------

From a8a454c5f03bd93e8155260bf543737f4445484f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 24 Mar 2017 21:42:11 +0100
Subject: [PATCH 422/899] improved changelog, adding a few missed items in the
 process

---
 doc/source/changes/version_0_21.rst.inc | 39 ++++++++++++++++++++-----
 1 file changed, 31 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 612e59782..2458f3922 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -52,7 +52,7 @@
     >>> sex.replace({'M': 'Male', 'F': 'Female'})
     Axis('sex', ['Male', 'Female'])
 
-* implemented from_string() method to create an array from a string:
+* implemented from_string() method to create an array from a string (closes :issue:`96`).
 
     >>> from_string('''age,nat\\sex, M, F
     ...                0,  BE,       0, 1
@@ -76,14 +76,34 @@
          a0 |  0 |  1 |  2
          a1 |  3 |  4 |
 
-* allowed the syntax axis[groups]:
+* one can assign a new axis to several groups at the same time by using axis[groups]:
 
-    >>> groups = year[2001:2004], year[2008,2009]
-    >>> groups
-    (year[2001:2004], year[2008, 2009])
-    >>> x.time[groups]
+    >>> group1 = year[2001:2004]
+    >>> group2 = year[2008,2009]
+    # let us change the year axis by time
+    >>> x.time[group1, group2]
     (x.time[2001:2004], x.time[2008, 2009])
 
+* implemented Axis.by() which is equivalent to axis[:].by() and divides the axis into several groups of specified length
+
+    >>> year = Axis('year', '2010..2016')
+    >>> year.by(3)
+    (year.i[0:3], year.i[3:6], year.i[6:7])
+    # which is equivalent to (year[2010:2012], year[2013:2015], year[2016])
+
+    like for groups, the optional second argument specifies the step between groups
+
+    >>> year.by(3, step=4)
+    (year.i[0:3], year.i[4:7])
+    # which is equivalent to (year[2010:2012], year[2014:2016])
+
+    and if step is smaller than length, we get overlapping groups, which can be useful for example for moving averages.
+
+    >>> year.by(3, 2)
+    (year.i[0:3], year.i[2:5], year.i[4:7], year.i[6:7])
+    # which is equivalent to (year[2010:2012], year[2012:2014], year[2014:2016], year[2016])
+
+
 Miscellaneous improvements
 --------------------------
 
@@ -91,12 +111,15 @@ Miscellaneous improvements
   for example, plotting an array (via Ctrl-P) or opening it in Excel (Ctrl-E) can be done directly even when
   interacting with the list of arrays or within the interactive console (closes :issue:`102`).
 
-* viewer: automatically display plots done in the viewer console (see example below) in a separate window (unless
-  "%matplotlib inline" is used).
+* viewer: automatically display plots done in the viewer console in a separate window (see example below), unless
+  "%matplotlib inline" is used.
 
     >>> arr = ndtest((3, 3))
     >>> arr.plot()
 
+* viewer: when calling view(an_array), the new window opened does not block the initial window, which means you can
+  have several windows open at the same time. view() without argument can still result in odd behavior though.
+
 * improved LArray.set_labels to make it possible to replace only some labels of an axis, instead of all of them
   and to replace labels from several axes at the same time.
 

From 02057cc79395b4d2c578bfd805d3cd2eff001529 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Sun, 26 Mar 2017 12:20:31 +0200
Subject: [PATCH 423/899] implemented Group.__array__

---
 larray/core.py          | 3 +++
 larray/tests/test_la.py | 5 +++++
 2 files changed, 8 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 31d3f31e6..e169f4f37 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2023,6 +2023,9 @@ def __int__(self):
     def __float__(self):
         return self.eval().__float__()
 
+    def __array__(self, dtype=None):
+        return np.asarray(self.eval(), dtype=dtype)
+
     def __hash__(self):
         # to_tick & to_key are partially opposite operations but this
         # standardize on a single notation so that they can all target each
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 9210f526a..1c4c5b092 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -370,6 +370,11 @@ def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
                          [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
 
+    def test_asarray(self):
+        assert_array_equal(np.asarray(self.slice_both_named_wh_named_axis), np.array([1, 2, 3, 4, 5]))
+        assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05',
+                                                                                'P06', 'P07', 'P08', 'P09']))
+
     def test_hash(self):
         d = {self.slice_both: 1,
              self.single_value: 2,

From a966d1f285bf9f83767bf977a6ddee3bf395e79f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Sun, 26 Mar 2017 12:27:47 +0200
Subject: [PATCH 424/899] improved axis[] test

do not rely on Group.__eq__
---
 larray/tests/test_la.py | 44 ++++++++++++++++++++++++++---------------
 1 file changed, 28 insertions(+), 16 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 1c4c5b092..a7fc63b97 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -143,28 +143,40 @@ def test_equals(self):
         self.assertFalse(Axis('sex1', 'M,W').equals(Axis('sex2', 'M,F')))
 
     def test_getitem(self):
-        age = Axis('age', '..115')
-        ages_list = [1, 5, 9]
-        self.assertEqual(age[ages_list], LGroup(ages_list, axis=age))
-        self.assertEqual(age[ages_list], LGroup(ages_list))
-        self.assertEqual(age['1,5,9'], LGroup(ages_list))
-        self.assertEqual(age[1, 5, 9], LGroup(ages_list))
+        age = Axis('age', '0..10')
+        # a normal list
+        a159 = age[[1, 5, 9]]
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
+        # a string list
+        a159 = age['1,5,9']
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
+        # a normal slice
+        a10to20 = age[5:9]
+        self.assertEqual(a10to20.key, slice(5, 9))
+        self.assertIs(a10to20.axis, age)
+
+        # a string slice
+        a10to20 = age['5:9']
+        self.assertEqual(a10to20.key, slice(5, 9))
+        self.assertIs(a10to20.axis, age)
 
-        # with a slice string
-        self.assertEqual(age['10:20'], LGroup(slice(10, 20)))
+        # with name
+        group = age[[1, 5, 9]] >> 'test'
+        self.assertEqual(group.key, [1, 5, 9])
+        self.assertEqual(group.name, 'test')
+        self.assertIs(group.axis, age)
 
-        # all labels
-        age = Axis('age', '..115')
+        # all
         group = age[:] >> 'all'
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
-        # with name
-        group = age[ages_list] >> 'teens'
-        self.assertEqual(group.key, ages_list)
-        self.assertEqual(group.name, 'teens')
-        self.assertIs(group.axis, age)
-
     def test_group_using_lgroup(self):
         def group_equal(g1, g2):
             return (g1.key == g2.key and g1.name == g2.name and

From 5daad63741d0c144a7de8a652ba7a99d3167d68f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 11:21:21 +0200
Subject: [PATCH 425/899] added example/doctest in ipfp (closes #171)

---
 larray/ipfp.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/larray/ipfp.py b/larray/ipfp.py
index 2836c30fb..990e8694e 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -71,6 +71,33 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     Returns
     -------
     LArray
+
+    Examples
+    --------
+    >>> from larray import *
+    >>> from larray.ipfp import ipfp
+    >>> a = Axis('a', 'a0,a1')
+    >>> b = Axis('b', 'b0,b1')
+    >>> initial = LArray([[2, 1],
+    ...                   [1, 2]], [a, b])
+    >>> initial
+    a\\b | b0 | b1
+     a0 |  2 |  1
+     a1 |  1 |  2
+    >>> target_sum_along_a = LArray([2, 1], b)
+    >>> target_sum_along_a
+    b | b0 | b1
+      |  2 |  1
+    >>> target_sum_along_b = LArray([1, 2], a)
+    >>> target_sum_along_b
+    a | a0 | a1
+      |  1 |  2
+    >>> result = ipfp([target_sum_along_a, target_sum_along_b], initial, threshold=0.01)
+    >>> # round result so that its display is nicer
+    ... round(result, 2)
+    a\\b |   b0 |   b1
+     a0 | 0.85 | 0.15
+     a1 | 1.15 | 0.85
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}

From d49199cfd5730a0fdf45202e08d84e347c74b0eb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 11:28:14 +0200
Subject: [PATCH 426/899] added test for axis[tuple]

eg axis[1, 5, 9]
---
 larray/tests/test_la.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index a7fc63b97..5d1c6d35e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -144,6 +144,12 @@ def test_equals(self):
 
     def test_getitem(self):
         age = Axis('age', '0..10')
+        # a tuple
+        a159 = age[1, 5, 9]
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
         # a normal list
         a159 = age[[1, 5, 9]]
         self.assertEqual(a159.key, [1, 5, 9])
@@ -177,7 +183,7 @@ def test_getitem(self):
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
-    def test_group_using_lgroup(self):
+    def test_getitem_lgroup_keys(self):
         def group_equal(g1, g2):
             return (g1.key == g2.key and g1.name == g2.name and
                     g1.axis is g2.axis)

From 430a4f4e98084fe0e7a70e5c918665f3b205f7f0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 11:48:09 +0200
Subject: [PATCH 427/899] fixed indexing an array using a positional group with
 a position which corresponds to a label on that axis

---
 doc/source/changes/version_0_21.rst.inc | 2 ++
 larray/core.py                          | 4 ++++
 larray/tests/test_la.py                 | 5 +++++
 3 files changed, 11 insertions(+)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 2458f3922..b9a13436e 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -189,6 +189,8 @@ Fixes
 
 * viewer: fixed labels on the x axis when zooming on a plot (closes :issue:`143`)
 
+* fixed indexing an array using a positional group with a position which corresponds to a label on that axis.
+
 * fixed posargsort labels (closes :issue:`137`).
 
 * fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels.
diff --git a/larray/core.py b/larray/core.py
index e169f4f37..306381454 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2230,6 +2230,10 @@ def eval(self):
             raise ValueError("Cannot evaluate a positional group without axis")
 
 
+    def __hash__(self):
+        return hash(('PGroup', _to_tick(self.key)))
+
+
 def index_by_id(seq, value):
     """
     Returns position of an object in a sequence.
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 5d1c6d35e..f7ae48226 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1181,6 +1181,11 @@ def test_getitem_bool_anonymous_axes(self):
         self.assertEqual(res.ndim, 3)
         self.assertEqual(res.shape, (2, 12, 5))
 
+    def test_getitem_pgroup_on_int_axis(self):
+        a = Axis('a', '1..3')
+        arr = ndrange(a)
+        self.assertEqual(arr[a.i[1]], 1)
+
     def test_getitem_int_larray_lgroup_key(self):
         # e axis go from 0 to 3
         arr = ndrange((2, 2, 4)).rename(0, 'c').rename(1, 'd').rename(2, 'e')

From 72435a4a574b9e27f5492e85bf43eff635aec8cd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 12:36:29 +0200
Subject: [PATCH 428/899] mention larray_nan_equal in changelog

---
 doc/source/changes/version_0_21.rst.inc | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index b9a13436e..62f137ec8 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -103,6 +103,30 @@
     (year.i[0:3], year.i[2:5], year.i[4:7], year.i[6:7])
     # which is equivalent to (year[2010:2012], year[2012:2014], year[2014:2016], year[2016])
 
+* implemented larray_nan_equal to test whether two arrays are identical even in the presence of nan values.
+  Two arrays are considered identical by larray_equal if they have exactly the same axes and data. However, since a nan
+  value has the odd property of not being equal to itself, larray_equal returns False if either array contains a nan
+  value. larray_nan_equal returns True if all not-nan data is equal and both arrays have nans at the same place.
+
+    >>> arr1 = ndtest((2, 3), dtype=float)
+    >>> arr1['a1', 'b1'] = nan
+    >>> arr1
+    a\\b |  b0 |  b1 |  b2
+     a0 | 0.0 | 1.0 | 2.0
+     a1 | 3.0 | nan | 5.0
+    >>> arr2 = arr1.copy()
+    >>> arr2
+    a\\b |  b0 |  b1 |  b2
+     a0 | 0.0 | 1.0 | 2.0
+     a1 | 3.0 | nan | 5.0
+    >>> larray_equal(arr1, arr2)
+    False
+    >>> larray_nan_equal(arr1, arr2)
+    True
+    >>> arr2['b1'] = 0.0
+    >>> larray_nan_equal(arr1, arr2)
+    False
+
 
 Miscellaneous improvements
 --------------------------

From 53cdfef59f2ca7e8e2b968268056e77d824c7208 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 12:38:36 +0200
Subject: [PATCH 429/899] better wording for changelog

---
 doc/source/changes/version_0_21.rst.inc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 62f137ec8..6f4bbadeb 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -217,5 +217,5 @@ Fixes
 
 * fixed posargsort labels (closes :issue:`137`).
 
-* fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels.
-
+* fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels. This
+  was most visible when using the Group.by() method (which creates positional groups).

From 8d0535c2be74dbe8fc8cf4d3f96e75dfea1e708f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 14:35:30 +0200
Subject: [PATCH 430/899] make TestLGroup test data smaller

---
 larray/tests/test_la.py | 33 ++++++++++++++++-----------------
 1 file changed, 16 insertions(+), 17 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index f7ae48226..37f20fa7e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -329,8 +329,8 @@ def test_contains(self):
 
 class TestLGroup(TestCase):
     def setUp(self):
-        self.age = Axis('age', '..115')
-        self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 10)])
+        self.age = Axis('age', '0..10')
+        self.lipro = Axis('lipro', 'P01..P05')
         self.anonymous = Axis(None, range(3))
 
         self.slice_both_named_wh_named_axis = LGroup('1:5', "full", self.age)
@@ -343,8 +343,8 @@ def setUp(self):
         self.slice_none_wh_anonymous_axis = LGroup(':', axis=self.anonymous)
 
         self.single_value = LGroup('P03')
-        self.list = LGroup('P01,P03,P07')
-        self.list_named = LGroup('P01,P03,P07', "P137")
+        self.list = LGroup('P01,P03,P04')
+        self.list_named = LGroup('P01,P03,P04', "P134")
 
     def test_init(self):
         self.assertEqual(self.slice_both_named_wh_named_axis.name, "full")
@@ -359,7 +359,7 @@ def test_init(self):
         self.assertIs(self.slice_none_wh_anonymous_axis.axis, self.anonymous)
 
         self.assertEqual(self.single_value.key, 'P03')
-        self.assertEqual(self.list.key, ['P01', 'P03', 'P07'])
+        self.assertEqual(self.list.key, ['P01', 'P03', 'P04'])
 
     def test_eq(self):
         # with axis vs no axis do not compare equal
@@ -369,7 +369,7 @@ def test_eq(self):
         self.assertEqual(self.slice_start, LGroup(slice('1', None)))
         self.assertEqual(self.slice_stop, LGroup(slice('5')))
         self.assertEqual(self.slice_none_no_axis, LGroup(slice(None)))
-        self.assertEqual(self.list, LGroup(['P01', 'P03', 'P07']))
+        self.assertEqual(self.list, LGroup(['P01', 'P03', 'P04']))
         # test with raw objects
         self.assertEqual(self.slice_both, '1:5')
         self.assertEqual(self.slice_start, '1:')
@@ -379,10 +379,10 @@ def test_eq(self):
         self.assertEqual(self.slice_start, slice('1', None))
         self.assertEqual(self.slice_stop, slice('5'))
         self.assertEqual(self.slice_none_no_axis, slice(None))
-        self.assertEqual(self.list, 'P01,P03,P07')
-        self.assertEqual(self.list, ' P01 , P03 , P07 ')
-        self.assertEqual(self.list, ['P01', 'P03', 'P07'])
-        self.assertEqual(self.list, ('P01', 'P03', 'P07'))
+        self.assertEqual(self.list, 'P01,P03,P04')
+        self.assertEqual(self.list, ' P01 , P03 , P04 ')
+        self.assertEqual(self.list, ['P01', 'P03', 'P04'])
+        self.assertEqual(self.list, ('P01', 'P03', 'P04'))
 
     def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
@@ -390,8 +390,7 @@ def test_sorted(self):
 
     def test_asarray(self):
         assert_array_equal(np.asarray(self.slice_both_named_wh_named_axis), np.array([1, 2, 3, 4, 5]))
-        assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05',
-                                                                                'P06', 'P07', 'P08', 'P09']))
+        assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05']))
 
     def test_hash(self):
         d = {self.slice_both: 1,
@@ -412,7 +411,7 @@ def test_hash(self):
         # target a LGroup with an equivalent key
         self.assertEqual(d.get('1:5'), 1)
         self.assertEqual(d.get('P03'), 2)
-        self.assertEqual(d.get('P01,P03,P07'), 3)
+        self.assertEqual(d.get('P01,P03,P04'), 3)
 
         # this cannot and will never work!
         # hash(str) and hash(tuple) are not special, so ' P01 ,...' and
@@ -424,19 +423,19 @@ def test_hash(self):
         # target a simple key with an equivalent LGroup
         d = {'1:5': 1,
              'P03': 2,
-             'P01,P03,P07': 3}
+             'P01,P03,P04': 3}
         self.assertEqual(d.get(self.slice_both), 1)
         self.assertEqual(d.get(self.single_value), 2)
         self.assertEqual(d.get(self.list), 3)
-        self.assertEqual(d.get(LGroup(' P01 , P03 , P07 ')), 3)
-        self.assertEqual(d.get(LGroup(('P01', 'P03', 'P07'))), 3)
+        self.assertEqual(d.get(LGroup(' P01 , P03 , P04 ')), 3)
+        self.assertEqual(d.get(LGroup(('P01', 'P03', 'P04'))), 3)
 
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
         self.assertEqual(repr(self.slice_both_named),
                          "LGroup(slice(1, 5, None)) >> 'named'")
         self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
-        self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P07'])")
+        self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P04'])")
         self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
         self.assertEqual(repr(self.slice_none_wh_named_axis), "lipro[:]")
         self.assertEqual(repr(self.slice_none_wh_anonymous_axis),

From 017d92b945418be361938f3b45a8a7a329e92ef7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 16:04:29 +0200
Subject: [PATCH 431/899] fixed == for positional groups (closes #93)

---
 doc/source/changes/version_0_21.rst.inc |   9 ++
 larray/core.py                          |  82 ++++++++------
 larray/tests/test_la.py                 | 142 +++++++-----------------
 3 files changed, 93 insertions(+), 140 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 6f4bbadeb..530c5aa7e 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -215,6 +215,15 @@ Fixes
 
 * fixed indexing an array using a positional group with a position which corresponds to a label on that axis.
 
+* fixed == for positional groups (closes :issue:`93`)
+
+    >>> years = Axis('years', '1995..1997')
+    >>> years
+    Axis('years', [1995, 1996, 1997])
+    >>> # this used to return False
+    >>> years.i[0] == 1995
+    True
+
 * fixed posargsort labels (closes :issue:`137`).
 
 * fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels. This
diff --git a/larray/core.py b/larray/core.py
index 306381454..d539f1ed0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1445,35 +1445,33 @@ def translate(self, key, bool_passthrough=True):
         >>> people.translate(people.matches('Bruce'))
         array([1, 2])
         """
+
         mapping = self._mapping
 
-        # first, for Group instances, try their name
-        if isinstance(key, Group):
-            # XXX: we should probably use _to_tick(key) instead of key.name and do it for all keys instead of only
-            # for groups
+        if isinstance(key, Group) and key.axis is not self and key.axis is not None:
             try:
-                # avoid matching 0 against False or 0.0
-                if self._is_key_type_compatible(key.name):
-                    return mapping[key.name]
+                # XXX: this is potentially very expensive if key.key is an array or list and should be tried as a last
+                # resort
+                potential_tick = _to_tick(key)
+                # avoid matching 0 against False or 0.0, note that None has object dtype and so always pass this test
+                if self._is_key_type_compatible(potential_tick):
+                    return mapping[potential_tick]
             # we must catch TypeError because key might not be hashable (eg slice)
             # IndexError is for when mapping is an ndarray
             except (KeyError, TypeError, IndexError):
                 pass
 
-        # then try the key as-is:
-        # * for strings, this is useful to allow ticks with special characters
-        # * for groups, it means trying if the string representation of the whole group is in the mapping
-        #   e.g. mapping['v1,v2,v3']
-        try:
-            # avoid matching 0 against False or 0.0
-            if self._is_key_type_compatible(key):
-                return mapping[key]
-        # we must catch TypeError because key might not be hashable (eg slice)
-        # IndexError is for when mapping is an ndarray
-        except (KeyError, TypeError, IndexError):
-            pass
-
         if isinstance(key, basestring):
+            # try the key as-is to allow getting at ticks with special characters (",", ":", ...)
+            try:
+                # avoid matching 0 against False or 0.0, note that Group keys have object dtype and so always pass this test
+                if self._is_key_type_compatible(key):
+                    return mapping[key]
+            # we must catch TypeError because key might not be hashable (eg slice)
+            # IndexError is for when mapping is an ndarray
+            except (KeyError, TypeError, IndexError):
+                pass
+
             # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
             key = _to_key(key)
 
@@ -1955,21 +1953,28 @@ def __getitem__(self, key):
             raise TypeError("cannot take a subset of {} because it has a "
                             "'{}' key".format(self.key, type(self.key)))
 
-    def __eq__(self, other):
-        # different name or axis compare equal !
-        # XXX: we might want to compare "expanded" keys using self.eval(), so that slices
-        # can match lists and vice-versa. This might be too slow though.
-        other_key = other.key if isinstance(other, Group) else _to_key(other)
-        return _to_tick(self.key) == _to_tick(other_key)
-
     # method factory
     def _binop(opname):
         op_fullname = '__%s__' % opname
 
         # TODO: implement this in a delayed fashion for reference axes
-        def opmethod(self, other):
-            other_value = other.eval() if isinstance(other, Group) else other
-            return getattr(self.eval(), op_fullname)(other_value)
+        if PY3:
+            def opmethod(self, other):
+                other_value = other.eval() if isinstance(other, Group) else other
+                return getattr(self.eval(), op_fullname)(other_value)
+        else:
+            # workaround the fact slice objects do not have any __binop__ methods defined on Python2 (even though
+            # the actual operations work on them).
+            def opmethod(self, other):
+                self_value = self.eval()
+                other_value = other.eval() if isinstance(other, Group) else other
+                if isinstance(self_value, slice):
+                    if not isinstance(other_value, slice):
+                        return False
+                    self_value = (self_value.start, self_value.stop, self_value.step)
+                    other_value = (other_value.start, other_value.stop, other_value.step)
+                return getattr(self_value, op_fullname)(other_value)
+
         opmethod.__name__ = op_fullname
         return opmethod
 
@@ -2004,11 +2009,14 @@ def opmethod(self, other):
     __gt__ = _binop('gt')
     __le__ = _binop('le')
     __lt__ = _binop('lt')
-    # __ne__ = _binop('ne')
-    # __eq__ = _binop('eq')
+
+    # having ne and eq use .eval on a slice group creates an ndarray, for which __eq__ does not return a single value,
+    # which means, it cannot be in a mapping/Axis, but this is no longer a problem, since we do not create axes with
+    # LGroup labels anymore anyway
+    __ne__ = _binop('ne')
+    __eq__ = _binop('eq')
 
     def __contains__(self, item):
-        # XXX: ideally, we shouldn't need to test for Group (hash should hash to the same as item.eval())
         if isinstance(item, Group):
             item = item.eval()
         return item in self.eval()
@@ -4628,7 +4636,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
                 # we have axis information but not necessarily an Axis object
                 # from self.axes
                 real_axis = self.axes[axis]
-                if axis is not real_axis:
+                if axis is not real_axis and isinstance(axis, AxisReference):
                     axis_key = axis_key.with_axis(real_axis)
 
         # already positional
@@ -4640,13 +4648,13 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
 
         # labels but known axis
         if isinstance(axis_key, LGroup) and axis_key.axis is not None:
-            axis = axis_key.axis
+            real_axis = self.axes[axis_key.axis]
             try:
-                axis_pos_key = axis.translate(axis_key, bool_passthrough)
+                axis_pos_key = real_axis.translate(axis_key, bool_passthrough)
             except KeyError:
                 raise ValueError("%r is not a valid label for any axis"
                                  % axis_key)
-            return axis.i[axis_pos_key]
+            return real_axis.i[axis_pos_key]
 
         # otherwise we need to guess the axis
         # TODO: instead of checking all axes, we should have a big mapping
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 37f20fa7e..a3f7aa465 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -349,8 +349,11 @@ def setUp(self):
     def test_init(self):
         self.assertEqual(self.slice_both_named_wh_named_axis.name, "full")
         self.assertEqual(self.slice_both_named_wh_named_axis.key, slice(1, 5, None))
+        self.assertIs(self.slice_both_named_wh_named_axis.axis, self.age)
+
         self.assertEqual(self.slice_both_named.name, "named")
         self.assertEqual(self.slice_both_named.key, slice(1, 5, None))
+
         self.assertEqual(self.slice_both.key, slice(1, 5, None))
         self.assertEqual(self.slice_start.key, slice(1, None, None))
         self.assertEqual(self.slice_stop.key, slice(None, 5, None))
@@ -365,24 +368,30 @@ def test_eq(self):
         # with axis vs no axis do not compare equal
         # self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)
         self.assertEqual(self.slice_both, self.slice_both_named)
-        self.assertEqual(self.slice_both, LGroup(slice('1', '5')))
-        self.assertEqual(self.slice_start, LGroup(slice('1', None)))
-        self.assertEqual(self.slice_stop, LGroup(slice('5')))
+
+        res = self.slice_both_named_wh_named_axis == self.age[1:5]
+        self.assertIsInstance(res, np.ndarray)
+        self.assertEqual(res.shape, (5,))
+        self.assertTrue(res.all())
+
+        self.assertEqual(self.slice_both, LGroup(slice(1, 5)))
+        self.assertEqual(self.slice_start, LGroup(slice(1, None)))
+        self.assertEqual(self.slice_stop, LGroup(slice(5)))
         self.assertEqual(self.slice_none_no_axis, LGroup(slice(None)))
+
+        self.assertEqual(self.single_value, LGroup('P03'))
         self.assertEqual(self.list, LGroup(['P01', 'P03', 'P04']))
+        self.assertEqual(self.list_named, LGroup(['P01', 'P03', 'P04']))
+
         # test with raw objects
-        self.assertEqual(self.slice_both, '1:5')
-        self.assertEqual(self.slice_start, '1:')
-        self.assertEqual(self.slice_stop, ':5')
-        self.assertEqual(self.slice_none_no_axis, ':')
-        self.assertEqual(self.slice_both, slice('1', '5'))
-        self.assertEqual(self.slice_start, slice('1', None))
-        self.assertEqual(self.slice_stop, slice('5'))
+        self.assertEqual(self.slice_both, slice(1, 5))
+        self.assertEqual(self.slice_start, slice(1, None))
+        self.assertEqual(self.slice_stop, slice(5))
         self.assertEqual(self.slice_none_no_axis, slice(None))
-        self.assertEqual(self.list, 'P01,P03,P04')
-        self.assertEqual(self.list, ' P01 , P03 , P04 ')
+
+        self.assertEqual(self.single_value, 'P03')
         self.assertEqual(self.list, ['P01', 'P03', 'P04'])
-        self.assertEqual(self.list, ('P01', 'P03', 'P04'))
+        self.assertEqual(self.list_named, ['P01', 'P03', 'P04'])
 
     def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
@@ -393,6 +402,7 @@ def test_asarray(self):
         assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05']))
 
     def test_hash(self):
+        # this test is a lot less important than what it used to, because we cannot have Group ticks on an axis anymore
         d = {self.slice_both: 1,
              self.single_value: 2,
              self.list_named: 3}
@@ -401,34 +411,6 @@ def test_hash(self):
         self.assertEqual(d.get(self.single_value), 2)
         self.assertEqual(d.get(self.list), 3)
         self.assertEqual(d.get(self.list_named), 3)
-        # this cannot and will never work, because we cannot have the LGroup
-        # hash both like its key and like its name!
-        # we could make it work with a special dict class, but do we WANT to
-        # make it work?
-        # yes, probably
-        # self.assertEqual(d.get("P137"), 3)
-
-        # target a LGroup with an equivalent key
-        self.assertEqual(d.get('1:5'), 1)
-        self.assertEqual(d.get('P03'), 2)
-        self.assertEqual(d.get('P01,P03,P04'), 3)
-
-        # this cannot and will never work!
-        # hash(str) and hash(tuple) are not special, so ' P01 ,...' and
-        # ('P01', ...) do not hash to the same value than 'P01,P03...", which is
-        # our "canonical hash"
-        # self.assertEqual(d.get(' P01 , P03 , P07 '), 3)
-        # self.assertEqual(d.get(('P01', 'P03', 'P07')), 3)
-
-        # target a simple key with an equivalent LGroup
-        d = {'1:5': 1,
-             'P03': 2,
-             'P01,P03,P04': 3}
-        self.assertEqual(d.get(self.slice_both), 1)
-        self.assertEqual(d.get(self.single_value), 2)
-        self.assertEqual(d.get(self.list), 3)
-        self.assertEqual(d.get(LGroup(' P01 , P03 , P04 ')), 3)
-        self.assertEqual(d.get(LGroup(('P01', 'P03', 'P04'))), 3)
 
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
@@ -2282,10 +2264,9 @@ def test_getitem_on_group_agg(self):
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
         belgium = self.belgium
 
-        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
-
         # using a string
         vla = self.vla_str
+        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2298,6 +2279,7 @@ def test_getitem_on_group_agg(self):
 
         # using an anonymous LGroup
         vla = self.geo[self.vla_str]
+        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2307,6 +2289,7 @@ def test_getitem_on_group_agg(self):
 
         # using a named LGroup
         vla = self.geo[self.vla_str] >> 'Vlaanderen'
+        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2320,9 +2303,9 @@ def test_getitem_on_group_agg_nokw(self):
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
         belgium = self.belgium
 
-        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         # using a string
         vla = self.vla_str
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2335,6 +2318,7 @@ def test_getitem_on_group_agg_nokw(self):
 
         # using an anonymous LGroup
         vla = self.geo[self.vla_str]
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2344,6 +2328,7 @@ def test_getitem_on_group_agg_nokw(self):
 
         # using a named LGroup
         vla = self.geo[self.vla_str] >> 'Vlaanderen'
+        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
         # the following are all equivalent
         self.assertEqual(reg[vla].shape, (15,))
         self.assertEqual(reg[(vla,)].shape, (15,))
@@ -2357,16 +2342,14 @@ def test_filter_on_group_agg(self):
         vla, wal, bru = self.vla_str, self.wal_str, self.bru_str
         belgium = self.belgium
 
-        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
-
         # using a string
         vla = self.vla_str
+        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         self.assertEqual(reg.filter(geo=vla).shape, (15,))
-        # using an anonymous LGroup
-        vla = self.geo[self.vla_str]
-        self.assertEqual(reg.filter(geo=vla).shape, (15,))
+
         # using a named LGroup
         vla = self.geo[self.vla_str] >> 'Vlaanderen'
+        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
         self.assertEqual(reg.filter(geo=vla).shape, (15,))
 
         # Note that reg.filter(geo=(vla,)) does NOT work. It might be a
@@ -2376,6 +2359,7 @@ def test_filter_on_group_agg(self):
 
         # mixed VG/string slices
         child = age[:17]
+        child_named = age[:17] >> 'child'
         working = age[18:64]
         retired = age[65:]
 
@@ -2386,58 +2370,10 @@ def test_filter_on_group_agg(self):
         self.assertEqual(byage.shape, (4, 44, 2, 15))
 
         # filter on an aggregated larray created with mixed groups
-        self.assertEqual(byage.filter(age=child).shape, (44, 2, 15))
-
-        # TODO: make this work
-        # self.assertEqual(byage.filter(age=slice(18)).shape, (44, 2, 15))
-
-    # def test_sum_groups_vg_args(self):
-    #     la = self.larray
-    #     age, geo, sex, lipro = la.axes
-    #     vla, wal, bru, belgium = self.vla, self.wal, self.bru, self.belgium
-    #
-    #     # simple
-    #     # ------
-    #
-    #     # a) one group aggregate (on a fresh array)
-    #
-    #     # one group => collapse dimension
-    #     self.assertEqual(la.sum(sex['M']).shape, (116, 44, 15))
-    #     self.assertEqual(la.sum(sex['M,F']).shape, (116, 44, 15))
-    #     self.assertEqual(la.sum(geo['A11,A21,A25']).shape, (116, 2, 15))
+        self.assertEqual(byage.filter(age=':17').shape, (44, 2, 15))
 
-    #     # several groups
-    #     self.assertEqual(la.sum((vla, wal, belgium)).shape, (116, 3, 2, 15))
-    #
-    #     # b) group aggregates on several dimensions at the same time
-    #
-    #     # one group per dim => collapse
-    #     self.assertEqual(la.sum(lipro['P01,P03'], vla).shape, (116, 4, 2, 3))
-    #     # several groups per dim
-    #     lipro_groups = (lipro['P01,P02'], lipro['P05'], lipro['P07,P06'])
-    #     self.assertEqual(la.sum(lipro_groups, (vla, wal, bru, belgium)).shape,
-    #                      (116, 4, 2, 3))
-
-    #     # c) both axis aggregate and group aggregate at the same time
-
-    #     # In this version we do not need to list "full axes" aggregates first
-    #     # since group aggregates are not kwargs
-
-    #     # one group
-    #     self.assertEqual(la.sum(age, sex, vla).shape, (15,))
-    #     self.assertEqual(la.sum(vla, age, sex).shape, (15,))
-    #     self.assertEqual(la.sum(age, vla, sex).shape, (15,))
-    #     # tuple of groups
-    #     self.assertEqual(la.sum(age, sex, (vla, belgium)).shape, (4, 15))
-    #     self.assertEqual(la.sum(age, (vla, belgium), sex).shape, (4, 15))
-    #     self.assertEqual(la.sum((vla, belgium), age, sex).shape, (4, 15))
-    #     self.assertEqual(la.sum((vla, belgium), age, sex).shape, (4, 15))
-    #
-    #
-    #     # d) mixing arg and kwarg group aggregates
-    #     self.assertEqual(la.sum(lipro['P01,P02,P03,P05,P08'],
-    #                             geo=(vla, wal, bru)).shape,
-    #                      (116, 3, 2, 5))
+        byage = la.sum(age=(child_named, 5, working, retired))
+        self.assertEqual(byage.filter(age=child_named).shape, (44, 2, 15))
 
     def test_sum_several_vg_groups(self):
         la, geo = self.larray, self.geo
@@ -2468,15 +2404,15 @@ def test_sum_several_vg_groups(self):
                          (116, 2, 2, 15))
 
         # b) by VG
-        self.assertEqual(reg.filter(geo=fla).shape, (116, 2, 15))
-        self.assertEqual(reg.filter(geo=(fla, wal)).shape,
+        self.assertEqual(reg.filter(geo=self.vla_str).shape, (116, 2, 15))
+        self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape,
                          (116, 2, 2, 15))
 
     def test_sum_with_groups_from_other_axis(self):
         small = self.small
 
         # use a group from another *compatible* axis
-        lipro2 = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
+        lipro2 = Axis('lipro', 'P01..P15')
         self.assertEqual(small.sum(lipro=lipro2['P01,P03']).shape, (2,))
 
         # use (compatible) group from another *incompatible* axis

From 061f79696cbf1039a27e86c6d47845495c87e0e6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 17:27:21 +0200
Subject: [PATCH 432/899] * fixed using positional groups for their value in
 many cases   (slice bounds, within list of values, within other groups, etc.)
 * fixed a speed regression in version 0.18 and later versions compared to
 0.17. In some cases, it was up to 40% slower than it should (closes #165).

---
 doc/source/changes/version_0_21.rst.inc |  23 ++
 larray/core.py                          | 103 ++++++---
 larray/tests/test_la.py                 | 296 ++++++++++++++++++++++++
 3 files changed, 395 insertions(+), 27 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 530c5aa7e..6c9e41749 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -224,7 +224,30 @@ Fixes
     >>> years.i[0] == 1995
     True
 
+* fixed using positional groups for their value in many cases (slice bounds, within list of values, within other
+  groups, etc.). For example, this used to fail:
+
+    >>> arr = ndtest((2, 4))
+    >>> arr
+    a\b | b0 | b1 | b2 | b3
+     a0 |  0 |  1 |  2 |  3
+     a1 |  4 |  5 |  6 |  7
+    >>> b = arr.b
+    >>> start = b.i[0]  # equivalent to start = 'b0'
+    >>> stop = b.i[2]   # equivalent to stop = 'b2'
+    >>> arr[start:stop]
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  4 |  5 |  6
+    >>> arr[[b.i[0], b.i[2]]]
+    a\b | b0 | b2
+     a0 |  0 |  2
+     a1 |  4 |  6
+
 * fixed posargsort labels (closes :issue:`137`).
 
 * fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels. This
   was most visible when using the Group.by() method (which creates positional groups).
+
+* fixed a speed regression in version 0.18 and later versions compared to 0.17. In some cases, it was up to 40% slower
+  than it should (closes :issue:`165`).
diff --git a/larray/core.py b/larray/core.py
index d539f1ed0..f3439e9c7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -793,7 +793,7 @@ def larray_nan_equal(first, other):
     False
     >>> larray_nan_equal(arr1, arr2)
     True
-    >>> arr2['b1'] += 1
+    >>> arr2['b1'] = 0.0
     >>> larray_nan_equal(arr1, arr2)
     False
     >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
@@ -1384,19 +1384,17 @@ def __getitem__(self, key):
         if isinstance(key, basestring):
             key = to_keys(key)
 
-        if isinstance(key, (tuple, list)):
-            if any(isinstance(k, Group) for k in key):
-                k0 = key[0]
-                assert isinstance(k0, Group)
-                cls_ = k0.__class__
-                assert all(isinstance(k, cls_) for k in key[1:])
-                res = [k.with_axis(self) for k in key]
-                res = tuple(res) if isinstance(key, tuple) else res
-                return res
+        def isscalar(k):
+            return np.isscalar(k) or (isinstance(k, Group) and np.isscalar(k.key))
 
-        if isinstance(key, Group):
-            return key.__class__(key.key, key.name, self)
-        return LGroup(key, axis=self)
+        # the not all(np.isscalar) part is necessary to support axis[a, b, c] and axis[[a, b, c]]
+        if isinstance(key, (tuple, list)) and not all(isscalar(k) for k in key):
+            # this creates a group for each key if it wasn't and retargets PGroup
+            list_res = [self[k] for k in key]
+            return list_res if isinstance(key, list) else tuple(list_res)
+
+        name = key.name if isinstance(key, Group) else None
+        return LGroup(key, name, self)
 
     def __contains__(self, key):
         return _to_tick(key) in self._mapping
@@ -1476,6 +1474,7 @@ def translate(self, key, bool_passthrough=True):
             key = _to_key(key)
 
         if isinstance(key, PGroup):
+            assert key.axis is self
             return key.key
 
         if isinstance(key, LGroup):
@@ -1732,7 +1731,9 @@ class Group(object):
     def __init__(self, key, name=None, axis=None):
         if isinstance(key, tuple):
             key = list(key)
-        self.key = key
+        if isinstance(key, Group):
+            key = key.to_label()
+        self.key = remove_nested_groups(key)
 
         # we do NOT assign a name automatically when missing because that
         # makes it impossible to know whether a name was explicitly given or
@@ -2051,8 +2052,22 @@ def __hash__(self):
         return hash(_to_tick(self.key))
 
 
-# TODO: factorize as much as possible between LGroup & PGroup (move stuff to
-#       Group)
+def remove_nested_groups(key):
+    # "struct" key with Group elements -> key without Group
+    # TODO: ideally if all key elements are groups on the same Axis, we should make a group on that axis
+    #       for slice bounds, watch out for None
+    if isinstance(key, slice):
+        key_start, key_stop = key.start, key.stop
+        start = key_start.to_label() if isinstance(key_start, Group) else key_start
+        stop = key_stop.to_label() if isinstance(key_stop, Group) else key_stop
+        return slice(start, stop, key.step)
+    elif isinstance(key, (tuple, list)):
+        res = [k.to_label() if isinstance(k, Group) else k for k in key]
+        return tuple(res) if isinstance(key, tuple) else res
+    else:
+        return key
+
+
 class LGroup(Group):
     """Label group.
 
@@ -2115,6 +2130,11 @@ def eval(self):
             # we do not check the group labels are actually valid on Axis
             return self.key
 
+    def retarget_to(self, target_axis):
+        # TODO: it would be nice to check the labels actually exist on the new axis (if it is a real Axis)
+        #       however, I am unsure we can afford to do this by default (for performance reasons)
+        return LGroup(self.key, self.name, target_axis)
+
 
 class LSet(LGroup):
     """Label set.
@@ -2237,6 +2257,36 @@ def eval(self):
         else:
             raise ValueError("Cannot evaluate a positional group without axis")
 
+    def retarget_to(self, target_axis):
+        """Make sure a group has axis
+
+        Parameters
+        ----------
+        axis : Axis
+            axis to conform to
+
+        Returns
+        -------
+        Group with axis, raise ValueError otherwise
+        """
+        if self.axis is target_axis:
+            return self
+        elif isinstance(self.axis, basestring) or isinstance(self.axis, AxisReference):
+            axis_name = self.axis.name if isinstance(self.axis, AxisReference) else self.axis
+            if axis_name != target_axis.name:
+                raise ValueError('cannot retarget a PGroup defined without a real axis object (e.g. using '
+                                 'an AxisReference (x.)) to an axis with a different name')
+            return PGroup(self.key, self.name, target_axis)
+        elif self.axis.equals(target_axis) or isinstance(self.axis, int):
+            # in the case of isinstance(self.axis, int), we can only hope the axis corresponds. This is the
+            # case if we come from _translate_axis_key_chunk, but if the users calls this manually, we cannot know.
+            # XXX: maybe changing this to retarget_to_axes would be a good idea after all?
+
+            # just change the axis object
+            return PGroup(self.key, self.name, target_axis)
+        else:
+            # to retarget to another Axis, we need to translate to labels
+            return LGroup(self.to_label(), self.name, target_axis)
 
     def __hash__(self):
         return hash(('PGroup', _to_tick(self.key)))
@@ -4630,20 +4680,19 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
             Positional group with valid axes (from self.axes)
         """
 
-        if isinstance(axis_key, Group):
-            axis = axis_key.axis
-            if axis is not None:
-                # we have axis information but not necessarily an Axis object
-                # from self.axes
-                real_axis = self.axes[axis]
-                if axis is not real_axis and isinstance(axis, AxisReference):
-                    axis_key = axis_key.with_axis(real_axis)
+        if isinstance(axis_key, Group) and axis_key.axis is not None:
+            # retarget to real axis, if needed
+            # only retarget PGroup and not LGroup to give the opportunity for axis.translate to try the "ticks"
+            # version of the group ONLY if key.axis is not real_axis (for performance reasons)
+            if isinstance(axis_key, PGroup):
+                axis_key = axis_key.retarget_to(self.axes[axis_key.axis])
+
+        axis_key = remove_nested_groups(axis_key)
 
         # already positional
         if isinstance(axis_key, PGroup):
-            if axis is None:
-                raise ValueError("positional groups without axis are not "
-                                 "supported")
+            if axis_key.axis is None:
+                raise ValueError("positional groups without axis are not supported")
             return axis_key
 
         # labels but known axis
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index a3f7aa465..8fe4ecc42 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -207,6 +207,267 @@ def group_equal(g1, g2):
         self.assertTrue(group_equal(age[val_axis_name], LGroup(ages, 'val_axis_name', age)))
         self.assertTrue(group_equal(age[val_axis_name] >> 'a_name', LGroup(ages, 'a_name', age)))
 
+    def test_getitem_group_keys(self):
+        a = Axis('a', 'a0..a2')
+        alt_a = Axis('a', 'a1..a3')
+
+        # a) key is a single LGroup
+        # -------------------------
+
+        # a.1) containing a scalar
+        key = a['a1']
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, alt_a)
+
+        # a.2) containing a slice
+        key = a['a1':'a2']
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # a.3) containing a list
+        key = a[['a1', 'a2']]
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # b) key is a single PGroup
+        # -------------------------
+
+        # b.1) containing a scalar
+        key = a.i[1]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, alt_a)
+
+        # b.2) containing a slice
+        key = a.i[1:3]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # b.3) containing a list
+        key = a.i[[1, 2]]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(list(g.key), ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(list(g.key), ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # c) key is a slice
+        # -----------------
+
+        # c.1) with LGroup bounds
+        lg_a1 = a['a1']
+        lg_a2 = a['a2']
+        # use it on the same axis
+        g = a[lg_a1:lg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[lg_a1:lg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # c.2) with PGroup bounds
+        pg_a1 = a.i[1]
+        pg_a2 = a.i[2]
+        # use it on the same axis
+        g = a[pg_a1:pg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[pg_a1:pg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # d) key is a list of scalar groups => create a single LGroup
+        # ---------------------------------
+
+        # d.1) with LGroup
+        key = [a['a1'], a['a2']]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # d.2) with PGroup
+        key = [a.i[1], a.i[2]]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # e) key is a list of non-scalar groups => retarget multiple groups to axis
+        # -------------------------------------
+
+        # e.1) with LGroup
+        key = [a['a1', 'a2'], a['a2', 'a1']]
+        # use it on the same axis => nothing happens
+        g = a[key]
+        self.assertIsInstance(g, list)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis => change axis
+        g = alt_a[key]
+        self.assertIsInstance(g, list)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # e.2) with PGroup
+        key = (a.i[1, 2], a.i[2, 1])
+        # use it on the same axis => change to LGroup
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis => retarget to axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # f) key is a tuple of scalar groups => create a single LGroup
+        # ----------------------------------
+
+        # f.1) with LGroups
+        key = (a['a1'], a['a2'])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # f.2) with PGroup
+        key = (a.i[1], a.i[2])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # g) key is a tuple of non-scalar groups => retarget multiple groups to axis
+        # --------------------------------------
+
+        # g.1) with LGroups
+        key = (a['a1', 'a2'], a['a2', 'a1'])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # g.2) with PGroup
+        key = (a.i[1, 2], a.i[2, 1])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
     def test_init_from_group(self):
         code = Axis('code', 'C01..C03')
         code_group = code[:'C02']
@@ -1177,6 +1438,41 @@ def test_getitem_int_larray_lgroup_key(self):
         self.assertEqual(res.shape, (2, 2, 2, 2))
         self.assertEqual(res.axes.names, ['c', 'd', 'a', 'b'])
 
+    def test_getitem_structured_key_with_groups(self):
+        arr = ndtest((3, 2))
+        expected = arr['a1':]
+
+        a, b = arr.axes
+        alt_a = Axis('a', 'a1..a3')
+
+        # a) slice with lgroup
+        # a.1) LGroup.axis from array.axes
+        assert_array_equal(arr[a['a1']:a['a2']], expected)
+
+        # a.2) LGroup.axis not from array.axes
+        assert_array_equal((arr[alt_a['a1']:alt_a['a2']]), expected)
+
+        # b) slice with pgroup
+        # b.1) PGroup.axis from array.axes
+        assert_array_equal((arr[a.i[1]:a.i[2]]), expected)
+
+        # b.2) PGroup.axis not from array.axes
+        assert_array_equal((arr[alt_a.i[0]:alt_a.i[1]]), expected)
+
+        # c) list with LGroup
+        # c.1) LGroup.axis from array.axes
+        assert_array_equal((arr[[a['a1'], a['a2']]]), expected)
+
+        # c.2) LGroup.axis not from array.axes
+        assert_array_equal((arr[[alt_a['a1'], alt_a['a2']]]), expected)
+
+        # d) list with PGroup
+        # d.1) PGroup.axis from array.axes
+        assert_array_equal((arr[[a.i[1], a.i[2]]]), expected)
+
+        # d.2) PGroup.axis not from array.axes
+        assert_array_equal((arr[[alt_a.i[0], alt_a.i[1]]]), expected)
+
     def test_getitem_single_larray_key_guess(self):
         a = Axis('a', ['a1', 'a2'])
         b = Axis('b', ['b1', 'b2', 'b3'])

From b1ee752fd483d50426824b5d159aefca6dfa0d05 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 17:28:23 +0200
Subject: [PATCH 433/899] added some specific tests for PGroup

---
 larray/tests/test_la.py | 51 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 51 insertions(+)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 8fe4ecc42..d4bdef585 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -749,6 +749,57 @@ def test_sub(self):
         self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
 
 
+class TestPGroup(TestCase):
+    def _assert_array_equal_is_true_array(self, a, b):
+        res = a == b
+        self.assertIsInstance(res, np.ndarray)
+        self.assertEqual(res.shape, np.asarray(b).shape)
+        self.assertTrue(res.all())
+
+    def setUp(self):
+        self.code_axis = Axis('code', 'a0..a4')
+
+        self.slice_both_named = self.code_axis.i[1:4] >> 'a123'
+        self.slice_both = self.code_axis.i[1:4]
+        self.slice_start = self.code_axis.i[1:]
+        self.slice_stop = self.code_axis.i[:4]
+        self.slice_none = self.code_axis.i[:]
+
+        self.first_value = self.code_axis.i[0]
+        self.last_value = self.code_axis.i[-1]
+        self.list = self.code_axis.i[[0, 1, -2, -1]]
+        self.tuple = self.code_axis.i[0, 1, -2, -1]
+
+    def test_asarray(self):
+        assert_array_equal(np.asarray(self.slice_both), np.array(['a1', 'a2', 'a3']))
+
+    def test_eq(self):
+        self._assert_array_equal_is_true_array(self.slice_both, ['a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_both_named, ['a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_both, self.slice_both_named)
+        self._assert_array_equal_is_true_array(self.slice_both_named, self.slice_both)
+        self._assert_array_equal_is_true_array(self.slice_start, ['a1', 'a2', 'a3', 'a4'])
+        self._assert_array_equal_is_true_array(self.slice_stop, ['a0', 'a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_none, ['a0', 'a1', 'a2', 'a3', 'a4'])
+
+        self.assertEqual(self.first_value, 'a0')
+        self.assertEqual(self.last_value, 'a4')
+
+        self._assert_array_equal_is_true_array(self.list, ['a0', 'a1', 'a3', 'a4'])
+        self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
+
+    def test_repr(self):
+        self.assertEqual(repr(self.slice_both_named), "code.i[1:4] >> 'a123'")
+        self.assertEqual(repr(self.slice_both), "code.i[1:4]")
+        self.assertEqual(repr(self.slice_start), "code.i[1:]")
+        self.assertEqual(repr(self.slice_stop), "code.i[:4]")
+        self.assertEqual(repr(self.slice_none), "code.i[:]")
+        self.assertEqual(repr(self.first_value), "code.i[0]")
+        self.assertEqual(repr(self.last_value), "code.i[-1]")
+        self.assertEqual(repr(self.list), "code.i[0, 1, -2, -1]")
+        self.assertEqual(repr(self.tuple), "code.i[0, 1, -2, -1]")
+
+
 class TestAxisCollection(TestCase):
     def setUp(self):
         self.lipro = Axis('lipro', 'P01..P04')

From 16eaf3a3a6fc9171cd9423b8d7c3ce443a11a720 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 17:31:31 +0200
Subject: [PATCH 434/899] define and document Group abstract methods

---
 larray/core.py | 38 ++++++++++++++++++++++++++++++++++++--
 1 file changed, 36 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index f3439e9c7..84624d281 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1787,20 +1787,54 @@ def __repr__(self):
     def __str__(self):
         return str(self.eval())
 
+    # TODO: rename to "to_positional"
     def translate(self, bound=None, stop=False):
         """
+        Translate key to a position if it is not already
 
         Parameters
         ----------
-        bound : any
+        bound : any, optional
+        stop : bool, optional
 
         Returns
         -------
-        int
+        int-based key (single int, slice of int or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def eval(self):
+        """
+        Translate key to labels, if it is not already, expanding slices in the process.
+
+        Returns
+        -------
+        label-based key (single scalar or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def to_label(self):
+        """
+        Translate key to labels, if it is not already
+
+        Returns
+        -------
+        label-based key (single scalar, slice of scalars or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def retarget_to(self, target_axis):
+        """
+        Retarget group to another axis. Potentially translating it to label using its former axis.
+
+        Returns
+        -------
+        Group
         """
         raise NotImplementedError()
 
     def __len__(self):
+        # XXX: we probably want to_label instead of .eval (so that we do not expand slices)
         value = self.eval()
         # for some reason this breaks having LGroup ticks/labels on an axis
         if hasattr(value, '__len__'):

From a0e7462c29828a5f4dfdfac7afca4078ce3eb355 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 27 Mar 2017 19:44:30 +0200
Subject: [PATCH 435/899] added more examples for fixes in changelog and
 mention fix of Group.by with either slice bound unspecified

---
 doc/source/changes/version_0_21.rst.inc | 29 ++++++++++++++++++++++++-
 1 file changed, 28 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 6c9e41749..f37915b8d 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -213,7 +213,17 @@ Fixes
 
 * viewer: fixed labels on the x axis when zooming on a plot (closes :issue:`143`)
 
-* fixed indexing an array using a positional group with a position which corresponds to a label on that axis.
+* fixed indexing an array using a positional group with a position which corresponds to a label on that axis. This
+  used to return the wrong data (the data corresponding to the position as if it was the key).
+
+    >>> a = Axis('a', '1..3')
+    >>> arr = ndrange(a)
+    >>> arr
+    a | 1 | 2 | 3
+      | 0 | 1 | 2
+    >>> # this used to return 0 !
+    >>> arr[a.i[1]]
+    1
 
 * fixed == for positional groups (closes :issue:`93`)
 
@@ -249,5 +259,22 @@ Fixes
 * fixed labels when doing group aggregates using positional groups. Previously, it used the positions as labels. This
   was most visible when using the Group.by() method (which creates positional groups).
 
+    >>> years = Axis('years', '2010..2015')
+    >>> arr = ndrange(years)
+    >>> arr
+    years | 2010 | 2011 | 2012 | 2013 | 2014 | 2015
+          |    0 |    1 |    2 |    3 |    4 |    5
+    >>> arr.sum(years.by(3))
+    years | 2010:2012 | 2013:2015
+          |         3 |        12
+
+    While this used to return:
+
+    years | 0:3 | 3:6
+          |   3 |  12
+
+* fixed Group.by() when the group was a slice with either bound unspecified. For example,
+  `years[2010:2015].by(3)` worked but `years[:].by(3)`, `years[2010:].by(3)` and `years[:2015].by(3)` did not.
+
 * fixed a speed regression in version 0.18 and later versions compared to 0.17. In some cases, it was up to 40% slower
   than it should (closes :issue:`165`).

From ad8760ebda3bab8b624cbd04a2906e4f08db645f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Mar 2017 12:27:02 +0200
Subject: [PATCH 436/899] in the viewer console, fixed redefining a
 non-displayable variable by one which is displayable (and vice versa)

---
 doc/source/changes/version_0_21.rst.inc |  7 ++++
 larray/viewer.py                        | 52 ++++++++++++-------------
 2 files changed, 33 insertions(+), 26 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index f37915b8d..f2f49dd76 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -213,6 +213,13 @@ Fixes
 
 * viewer: fixed labels on the x axis when zooming on a plot (closes :issue:`143`)
 
+* viewer: fixed storing an array in a variable with a name which existed previously but which was not displayable in
+  the viewer, such as the name of any function or special object. In some cases, this error lead to a crash of the
+  viewer. For example, this code failed when run in the viewer console, because x is already defined (for the x.
+  syntax):
+
+    >>> x = ndtest(3)
+
 * fixed indexing an array using a positional group with a position which corresponds to a label on that axis. This
   used to return the wrong data (the data corresponding to the position as if it was the key).
 
diff --git a/larray/viewer.py b/larray/viewer.py
index 0522ef03d..2adb27468 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2113,35 +2113,35 @@ def update_mapping(self, value):
         # XXX: use ordered set so that the order is non-random if the underlying container is ordered?
         keys_before = set(self.data.keys())
         keys_after = set(value.keys())
+        # contains both new and updated keys (but not deleted keys)
+        changed_keys = [k for k in keys_after if value[k] is not self.data.get(k)]
+
+        # when a key is re-assigned, it can switch from being displayable to non-displayable or vice versa
+        displayed_keys_before = set(k for k in keys_before if self._display_in_grid(k, self.data[k]))
+        displayed_keys_after = set(k for k in keys_after if self._display_in_grid(k, value[k]))
 
-        # deleted keys
+        # 1) update session/mapping
+        # a) deleted old keys
         for k in keys_before - keys_after:
-            if self._display_in_grid(k, self.data[k]):
-                self.delete_list_item(k)
             del self.data[k]
-
-        # contains both new and updated keys (but not deleted keys)
-        changed_keys = [k for k in keys_after if value[k] is not self.data.get(k)]
-        if changed_keys:
-            # update session
-            for k in changed_keys:
-                self.data[k] = value[k]
-
-            # add new keys which can be displayed
-            displayable_new_keys = [k for k in keys_after - keys_before if self._display_in_grid(k, value[k])]
-            self.add_list_items(displayable_new_keys)
-
-            displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
-            if displayable_changed_keys:
-                # display only first result if there are more than one
-                to_display = displayable_changed_keys[0]
-
-                self.select_list_item(to_display)
-                return to_display
-            else:
-                return None
-        else:
-            return None
+        # b) add new/modify existing keys
+        for k in changed_keys:
+            self.data[k] = value[k]
+
+        # 2) update list widget
+        for k in displayed_keys_before - displayed_keys_after:
+            self.delete_list_item(k)
+
+        self.add_list_items(displayed_keys_after - displayed_keys_before)
+
+        # this can contain more keys than displayed_keys_after - displayed_keys_before (because of existing keys
+        # which changed value)
+        displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
+        # display only first result if there are more than one
+        to_display = displayable_changed_keys[0] if displayable_changed_keys else None
+        if to_display is not None:
+            self.select_list_item(to_display)
+        return to_display
 
     def delete_list_item(self, to_delete):
         deleted_items = self._listwidget.findItems(to_delete, Qt.MatchExactly)

From 3c8d48a898524146717e55addaf7679ac00df22f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Mar 2017 16:30:17 +0200
Subject: [PATCH 437/899] nicer changelog

---
 doc/source/changes/version_0_20.rst.inc   |  3 ++-
 doc/source/changes/version_0_20_1.rst.inc | 19 -------------------
 doc/source/changes/version_0_21.rst.inc   |  3 ++-
 3 files changed, 4 insertions(+), 21 deletions(-)
 delete mode 100644 doc/source/changes/version_0_20_1.rst.inc

diff --git a/doc/source/changes/version_0_20.rst.inc b/doc/source/changes/version_0_20.rst.inc
index 0614a59d2..db2a7a99f 100644
--- a/doc/source/changes/version_0_20.rst.inc
+++ b/doc/source/changes/version_0_20.rst.inc
@@ -11,6 +11,7 @@ in the future, to update from one version to the next, it should always be enoug
 
   conda update larrayenv
 
+
 New features
 ------------
 
@@ -101,7 +102,7 @@ Miscellaneous improvements
         Axis('b', ['b0', 'b1', 'b2'])
     ])
 
-* nicer display (repr) for LSet (closes :issue:`44).
+* nicer display (repr) for LSet (closes :issue:`44`).
 
     >>> x.b['b0,b2'].set()
     x.b['b0', 'b2'].set()
diff --git a/doc/source/changes/version_0_20_1.rst.inc b/doc/source/changes/version_0_20_1.rst.inc
deleted file mode 100644
index abf22c3a3..000000000
--- a/doc/source/changes/version_0_20_1.rst.inc
+++ /dev/null
@@ -1,19 +0,0 @@
-New features
-------------
-
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
-
-* added another feature.
-
-.. _misc:
-
-Miscellaneous improvements
---------------------------
-
-* improved something.
-
-Fixes
------
-
-* viewer: allow changing the number of displayed digits even for integer arrays as that makes sense when using
-  scientific notation (closes :issue:`100`).
diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index f2f49dd76..ea86b946c 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -84,7 +84,8 @@
     >>> x.time[group1, group2]
     (x.time[2001:2004], x.time[2008, 2009])
 
-* implemented Axis.by() which is equivalent to axis[:].by() and divides the axis into several groups of specified length
+* implemented Axis.by() which is equivalent to axis[:].by() and divides the axis into several groups of specified
+  length:
 
     >>> year = Axis('year', '2010..2016')
     >>> year.by(3)

From 6d034708b3d13ead12847e4c8bec6ebbafe418d6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Mar 2017 17:24:40 +0200
Subject: [PATCH 438/899] added changelog for all versions up to now

syntax tweaks all over the place to get a nice changelog
---
 doc/source/changes.rst                    | 276 +++++++++++++++++++++-
 doc/source/changes/version_0_10.rst.inc   |  31 +++
 doc/source/changes/version_0_10_1.rst.inc |  11 +
 doc/source/changes/version_0_11.rst.inc   | 276 ++++++++++++++++++++++
 doc/source/changes/version_0_11_1.rst.inc |   4 +
 doc/source/changes/version_0_12.rst.inc   | 266 +++++++++++++++++++++
 doc/source/changes/version_0_13.rst.inc   |  84 +++++++
 doc/source/changes/version_0_14.rst.inc   | 149 ++++++++++++
 doc/source/changes/version_0_14_1.rst.inc |   7 +
 doc/source/changes/version_0_15.rst.inc   |  69 ++++++
 doc/source/changes/version_0_16.rst.inc   | 178 ++++++++++++++
 doc/source/changes/version_0_16_1.rst.inc |  12 +
 doc/source/changes/version_0_17.rst.inc   |  85 +++++++
 doc/source/changes/version_0_18.rst.inc   | 203 ++++++++++++++++
 doc/source/changes/version_0_19.rst.inc   | 166 +++++++++++++
 doc/source/changes/version_0_20.rst.inc   |   4 +-
 doc/source/changes/version_0_21.rst.inc   |  68 +++---
 doc/source/changes/version_0_2_1.rst.inc  |  15 ++
 doc/source/changes/version_0_2_2.rst.inc  |  20 ++
 doc/source/changes/version_0_2_3.rst.inc  |  10 +
 doc/source/changes/version_0_2_4.rst.inc  |  10 +
 doc/source/changes/version_0_2_5.rst.inc  |  10 +
 doc/source/changes/version_0_2_6.rst.inc  |   5 +
 doc/source/changes/version_0_3.rst.inc    |  38 +++
 doc/source/changes/version_0_4.rst.inc    |  20 ++
 doc/source/changes/version_0_5.rst.inc    |  52 ++++
 doc/source/changes/version_0_6.rst.inc    |  58 +++++
 doc/source/changes/version_0_6_1.rst.inc  |  39 +++
 doc/source/changes/version_0_7.rst.inc    |  64 +++++
 doc/source/changes/version_0_7_1.rst.inc  |  39 +++
 doc/source/changes/version_0_8.rst.inc    |  35 +++
 doc/source/changes/version_0_8_1.rst.inc  |  25 ++
 doc/source/changes/version_0_9.rst.inc    |  22 ++
 doc/source/changes/version_0_9_1.rst.inc  |  31 +++
 doc/source/changes/version_0_9_2.rst.inc  |   9 +
 doc/source/conf.py                        |   3 +-
 larray/core.py                            | 114 ++++++++-
 37 files changed, 2465 insertions(+), 43 deletions(-)
 create mode 100644 doc/source/changes/version_0_10.rst.inc
 create mode 100644 doc/source/changes/version_0_10_1.rst.inc
 create mode 100644 doc/source/changes/version_0_11.rst.inc
 create mode 100644 doc/source/changes/version_0_11_1.rst.inc
 create mode 100644 doc/source/changes/version_0_12.rst.inc
 create mode 100644 doc/source/changes/version_0_13.rst.inc
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 create mode 100644 doc/source/changes/version_0_14_1.rst.inc
 create mode 100644 doc/source/changes/version_0_15.rst.inc
 create mode 100644 doc/source/changes/version_0_16.rst.inc
 create mode 100644 doc/source/changes/version_0_16_1.rst.inc
 create mode 100644 doc/source/changes/version_0_17.rst.inc
 create mode 100644 doc/source/changes/version_0_18.rst.inc
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 create mode 100644 doc/source/changes/version_0_2_6.rst.inc
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 create mode 100644 doc/source/changes/version_0_7_1.rst.inc
 create mode 100644 doc/source/changes/version_0_8.rst.inc
 create mode 100644 doc/source/changes/version_0_8_1.rst.inc
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 create mode 100644 doc/source/changes/version_0_9_2.rst.inc

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 67335258b..41223f2d1 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,17 +1,285 @@
-.. highlight:: yaml
-
-Change log
+Change log
 ##########
 
 Version 0.21
 ============
 
+Released on 2017-03-28.
+
 .. include:: ./changes/version_0_21.rst.inc
 
+
 Version 0.20
 ============
 
-.. include:: ./changes/version_0_20.rst.inc
+Released on 2017-02-09.
+
+.. include:: changes/version_0_20.rst.inc
+
+
+Version 0.19
+============
+
+Released on 2017-01-19.
+
+.. include:: changes/version_0_19.rst.inc
+
+
+Version 0.18
+============
+
+Released on 2016-12-20.
+
+.. include:: changes/version_0_18.rst.inc
+
+
+Version 0.17
+============
+
+Released on 2016-11-29.
+
+.. include:: changes/version_0_17.rst.inc
+
+
+Version 0.16.1
+==============
+
+Released on 2016-11-04.
+
+.. include:: changes/version_0_16_1.rst.inc
+
+
+Version 0.16
+============
+
+Released on 2016-10-26.
+
+.. include:: changes/version_0_16.rst.inc
+
+
+Version 0.15
+============
+
+Released on 2016-09-23.
+
+.. include:: changes/version_0_15.rst.inc
+
+
+Version 0.14.1
+==============
+
+Released on 2016-08-12.
+
+.. include:: changes/version_0_14_1.rst.inc
+
+
+Version 0.14
+============
+
+Released on 2016-08-10.
+
+.. include:: changes/version_0_14.rst.inc
+
+
+Version 0.13
+============
+
+Released on 2016-07-11.
+
+.. include:: changes/version_0_13.rst.inc
+
+
+Version 0.12
+============
+
+Released on 2016-06-21.
+
+.. include:: changes/version_0_12.rst.inc
+
+
+Version 0.11.1
+==============
+
+Released on 2016-05-25.
+
+.. include:: changes/version_0_11_1.rst.inc
+
+
+Version 0.11
+============
+
+Released on 2016-05-25.
+
+.. include:: changes/version_0_11.rst.inc
+
+
+Version 0.10.1
+==============
+
+Released on 2016-03-25.
+
+.. include:: changes/version_0_10_1.rst.inc
+
+
+Version 0.10
+============
+
+Released on 2016-03-22.
+
+.. include:: changes/version_0_10.rst.inc
+
+
+Version 0.9.2
+=============
+
+Released on 2016-03-02.
+
+.. include:: changes/version_0_9_2.rst.inc
+
+
+Version 0.9.1
+=============
+
+Released on 2016-03-01.
+
+.. include:: changes/version_0_9_1.rst.inc
+
+
+Version 0.9
+===========
+
+Released on 2016-02-25.
+
+.. include:: changes/version_0_9.rst.inc
+
+
+Version 0.8.1
+=============
+
+Released on 2016-02-24.
+
+.. include:: changes/version_0_8_1.rst.inc
+
+
+Version 0.8
+===========
+
+Released on 2016-02-16.
+
+.. include:: changes/version_0_8.rst.inc
+
+
+Version 0.7.1
+=============
+
+Released on 2016-01-29.
+
+.. include:: changes/version_0_7_1.rst.inc
+
+
+Version 0.7
+===========
+
+Released on 2016-01-26.
+
+.. include:: changes/version_0_7.rst.inc
+
+
+Version 0.6.1
+=============
+
+Released on 2016-01-13.
+
+.. include:: changes/version_0_6_1.rst.inc
+
+
+Version 0.6
+===========
+
+Released on 2016-01-12.
+
+.. include:: changes/version_0_6.rst.inc
+
+
+Version 0.5
+===========
+
+Released on 2015-12-15.
+
+.. include:: changes/version_0_5.rst.inc
+
+
+Version 0.4
+===========
+
+Released on 2015-12-09.
+
+.. include:: changes/version_0_4.rst.inc
+
+
+Version 0.3
+===========
+
+Released on 2015-11-26.
+
+.. include:: changes/version_0_3.rst.inc
+
+
+Version 0.2.6
+=============
+
+Released on 2015-11-24.
+
+.. include:: changes/version_0_2_6.rst.inc
+
+
+Version 0.2.5
+=============
+
+Released on 2015-10-29.
+
+.. include:: changes/version_0_2_5.rst.inc
+
+
+Version 0.2.4
+=============
+
+Released on 2015-10-27.
+
+.. include:: changes/version_0_2_4.rst.inc
+
+
+Version 0.2.3
+=============
+
+Released on 2015-10-19.
+
+.. include:: changes/version_0_2_3.rst.inc
+
+
+Version 0.2.2
+=============
+
+Released on 2015-10-15.
+
+.. include:: changes/version_0_2_2.rst.inc
+
+
+Version 0.2.1
+=============
+
+Released on 2015-10-14.
+
+.. include:: changes/version_0_2_1.rst.inc
+
+
+Version 0.2
+===========
+
+Released on 2015-10-13.
+
+.. include:: changes/version_0_2.rst.inc
+
 
 Version 0.1
 ===========
diff --git a/doc/source/changes/version_0_10.rst.inc b/doc/source/changes/version_0_10.rst.inc
new file mode 100644
index 000000000..eac31965b
--- /dev/null
+++ b/doc/source/changes/version_0_10.rst.inc
@@ -0,0 +1,31 @@
+Core
+----
+
+* implemented dropna argument for to_csv, to_frame and to_series to avoid writing lines with either 'all' or 'any'
+  NA values.
+* implemented read_sas. Needs pandas >= 0.18 (though it seems still buggy on some files).
+* implemented experimental support for __getattr__ and __setattr__ on LArray. One can use arr.H instead of arr['M'].
+  It only works for single string labels though (not for slices or list of labels nor integer labels). Not sure it is a
+  good idea :).
+
+* implemented Session +-`*`/
+   Eg. sess1 - sess2 will compute the difference on each array present in either session. If an array is present in one
+   session and not in the other, it is replaced by "NaN".
+* added .nbytes property to LArray objects (to know how many bytes of memory the array uses)
+
+* made sort_axis accept a tuple of axes
+* raises an error on a.i[tuple_with_len_greater_than_array_ndim]
+* slightly better support for axes with no name (no, still no complete support yet ;-))
+* improved AxisCollection: implemented __delitem__(slice), __setitem__(list), __setitem__(slice)
+* fixed exception on AxisCollection.index(invalid_index)
+* better docstrings for a few functions
+* misc code cleanups, refactoring & improved tests
+
+Editor
+------
+
+* added .dirty property on ArrayEditorWidget
+* fixed viewing arrays with "inf" (infinite)
+* fixed a few edge cases for the ndigit detection code
+* fixed colors in some cases in edit()
+* made copy-paste of large regions faster in some cases
diff --git a/doc/source/changes/version_0_10_1.rst.inc b/doc/source/changes/version_0_10_1.rst.inc
new file mode 100644
index 000000000..ba81fbe5c
--- /dev/null
+++ b/doc/source/changes/version_0_10_1.rst.inc
@@ -0,0 +1,11 @@
+New features
+------------
+
+* A single change in this release: a much more powerful to_excel function which (by default) use Excel itself to write
+  files. Additional functionality include:
+
+    - write in an existing file without overwriting existing data/sheet/…
+    - write at a precise position
+    - view an array in a live Excel instance (a new OR an existing workbook)
+
+  See :meth:`~larray.LArray.to_excel` documentation for details.
diff --git a/doc/source/changes/version_0_11.rst.inc b/doc/source/changes/version_0_11.rst.inc
new file mode 100644
index 000000000..046e684ba
--- /dev/null
+++ b/doc/source/changes/version_0_11.rst.inc
@@ -0,0 +1,276 @@
+Viewer 
+------
+
+* implemented "Copy to Excel" in context menu (Ctrl+E), to open the selection in a new Excel sheet directly, without
+  the need to use paste. If nothing is selected, copies the whole array.
+* when nothing is selected, Ctrl C selects & copies the whole array to the clipboard.
+* when nothing is selected, Ctrl V paste at top-left corner
+* implemented view(dict_with_array_values)
+
+    >>> view({'a': array1, 'b': array2})
+
+* fixed copy (ctrl-C) when viewing a 2D array: it did not include labels from the first axis in that case
+
+
+Core
+----
+
+* implemented LArray.growth_rate to compute the growth along an axis
+
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> year = Axis('year', [2015, 2016, 2017])
+    >>> a = ndrange([sex, year]).cumsum(x.year)
+    >>> a
+    sex\year | 2015 | 2016 | 2017
+           M |    0 |    1 |    3
+           F |    3 |    7 |   12
+    >>> a.growth_rate()
+    sex\year |          2016 |           2017
+           M |           inf |            2.0
+           F | 1.33333333333 | 0.714285714286
+    >>> a.growth_rate(d=2)
+    sex\year | 2017
+           M |  inf
+           F |  3.0
+
+* implemented LArray.diff (difference along an axis)
+
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> xtype = Axis('type', ['type1', 'type2', 'type3'])
+    >>> a = ndrange([sex, xtype]).cumsum(x.type)
+    >>> a
+    sex\type | type1 | type2 | type3
+           M |     0 |     1 |     3
+           F |     3 |     7 |    12
+    >>> a.diff()
+    sex\type | type2 | type3
+           M |     1 |     2
+           F |     4 |     5
+    >>> a.diff(n=2)
+    sex\type | type3
+           M |     1
+           F |     1
+    >>> a.diff(x.sex)
+    sex\type | type1 | type2 | type3
+           F |     3 |     6 |     9
+
+* implemented round() (as a nicer alias to around() and round_())
+
+    >>> a = ndrange(5) + 0.5
+    >>> a
+    axis0 |   0 |   1 |   2 |   3 |   4
+          | 0.5 | 1.5 | 2.5 | 3.5 | 4.5
+    >>> round(a)
+    axis0 |   0 |   1 |   2 |   3 |   4
+          | 0.0 | 2.0 | 2.0 | 4.0 | 4.0
+
+* implemented Session[['list', 'of', 'str']] to get a subset of a Session
+
+    >>> s = Session({'a': ndrange(3), 'b': ndrange(4), 'c': ndrange(5)})
+    >>> s
+    Session(a, b, c)
+    >>> s['a', 'c']
+    Session(a, c)
+
+* implemented LArray.points to do pointwise indexing instead of the default orthogonal indexing when indexing several
+  dimensions at the same time.
+
+    >>> a = Axis('a', ['a1', 'a2', 'a3'])
+    >>> b = Axis('b', ['b1', 'b2', 'b3'])
+    >>> arr = ndrange((a, b))
+    >>> arr
+    a\b | b1 | b2 | b3
+    a1 |  0 |  1 |  2
+    a2 |  3 |  4 |  5
+    >>> arr[['a1', 'a3'], ['b1', 'b2']]
+    a\b | b1 | b2
+    a1 |  0 |  1
+    a3 |  6 |  7
+    # this selects the points ('a1', 'b1') and ('a3', 'b2')
+    >>> arr.points[['a1', 'a3'], ['b1', 'b2']]
+    a,b* | 0 | 1
+         | 0 | 7
+
+  Note that .ipoints (to do pointwise indexing with positions instead of labels – aka numpy indexing) is planned but not
+  functional yet.
+
+* made "arr1.drop_labels() * arr2" use the labels from arr2 if any
+
+    >>> a = Axis('a', ['a1', 'a2'])
+    >>> b = Axis('b', ['b1', 'b2'])
+    >>> b2 = Axis('b', ['b2', 'b3'])
+    >>> arr1 = ndrange([a, b])
+    >>> arr1
+    a\b | b1 | b2
+    a1 |  0 |  1
+    a2 |  2 |  3
+    >>> arr1.drop_labels(b)
+    a\b* | 0 | 1
+      a1 | 0 | 1
+      a2 | 2 | 3
+    >>> arr1.drop_labels([a, b])
+    a*\b* | 0 | 1
+        0 | 0 | 1
+        1 | 2 | 3
+    >>> arr2 = ndrange([a, b2])
+    >>> arr2
+    a\b | b2 | b3
+    a1 |  0 |  1
+    a2 |  2 |  3
+    >>> arr1 * arr2
+    Traceback (most recent call last):
+    ...
+    ValueError: incompatible axes:
+    Axis('b', ['b2', 'b3'])
+    vs
+    Axis('b', ['b1', 'b2'])
+    >>> arr1 * arr2.drop_labels()
+    a\b | b1 | b2
+    a1 |  0 |  1
+    a2 |  4 |  9
+    # in versions < 0.11, it used to return:
+    # >>> arr1.drop_labels() * arr2
+    # a*\b* | 0 | 1
+    #    0 | 0 | 1
+    #    1 | 2 | 3
+    >>> arr1.drop_labels() * arr2
+    a\b | b2 | b3
+    a1 |  0 |  1
+    a2 |  4 |  9
+    >>> arr1.drop_labels('a') * arr2.drop_labels('b')
+    a\b | b1 | b2
+    a1 |  0 |  1
+    a2 |  4 |  9
+
+* made .plot a property, like in Pandas, so that we can do stuff like:
+
+    >>> a.plot.bar()
+    # instead of
+    >>> a.plot(kind='bar')
+
+* made labels from different types not match against each other even if their value is the same. This might break some
+  code but it is both more efficient and more convenient in some cases, so let us see how it goes:
+
+    >>> a = ndrange(4)
+    >>> a
+    axis0 | 0 | 1 | 2 | 3
+          | 0 | 1 | 2 | 3
+    >>> a[1]
+    1
+    >>> # This used to "work" (and return 1)
+    >>> a[True]
+    …
+    ValueError: True is not a valid label for any axis
+
+    >>> a[1.0]
+    …
+    ValueError: 1.0 is not a valid label for any axis
+
+* implemented read_csv(dialect='liam2') to read .csv files formatted like in LIAM2 (with the axes names on a separate
+  line than the last axis labels)
+
+* implemented Session[boolean LArray]
+
+    >>> a = ndrange(3)
+    >>> b = ndrange(4)
+    >>> s1 = Session({'a': a, 'b': b})
+    >>> s2 = Session({'a': a + 1, 'b': b})
+    >>> s1 == s2
+    name |     a |    b
+         | False | True
+    >>> s1[s1 == s2]
+    Session(b)
+    >>> s1[s1 != s2]
+    Session(a)
+
+* implemented experimental support for creating an array sequentially. Comments on the name of the function and syntax
+  (especially compared to ndrange) would be appreciated.
+
+    >>> year = Axis('year', range(2016, 2020))
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> create_sequential(year)
+    year | 2016 | 2017 | 2018 | 2019
+         |    0 |    1 |    2 |    3
+    >>> create_sequential(year, 1.0, 0.1)
+    year | 2016 | 2017 | 2018 | 2019
+         |  1.0 |  1.1 |  1.2 |  1.3
+    >>> create_sequential(year, 1.0, mult=1.1)
+    year | 2016 | 2017 | 2018 |  2019
+         |  1.0 |  1.1 | 1.21 | 1.331
+    >>> inc = LArray([1, 2], [sex])
+    >>> inc
+    sex | M | F
+        | 1 | 2
+    >>> create_sequential(year, 1.0, inc)
+    sex\year | 2016 | 2017 | 2018 | 2019
+           M |  1.0 |  2.0 |  3.0 |  4.0
+           F |  1.0 |  3.0 |  5.0 |  7.0
+    >>> mult = LArray([2, 3], [sex])
+    >>> mult
+    sex | M | F
+        | 2 | 3
+    >>> create_sequential(year, 1.0, mult=mult)
+    sex\year | 2016 | 2017 | 2018 | 2019
+           M |  1.0 |  2.0 |  4.0 |  8.0
+           F |  1.0 |  3.0 |  9.0 | 27.0
+    >>> initial = LArray([3, 4], [sex])
+    >>> initial
+    sex | M | F
+        | 3 | 4
+    >>> create_sequential(year, initial, inc, mult)
+    sex\year | 2016 | 2017 | 2018 | 2019
+           M |    3 |    7 |   15 |   31
+           F |    4 |   14 |   44 |  134
+    >>> def modify(prev_value):
+    ...     return prev_value / 2
+    >>> create_sequential(year, 8, func=modify)
+    year | 2016 | 2017 | 2018 | 2019
+         |    8 |    4 |    2 |    1
+    >>> create_sequential(3)
+    axis0* | 0 | 1 | 2
+           | 0 | 1 | 2
+    >>> create_sequential(x.year, axes=(sex, year))
+    sex\year | 2016 | 2017 | 2018 | 2019
+           M |    0 |    1 |    2 |    3
+           F |    0 |    1 |    2 |    3
+
+* implemented full and full_like to create arrays initialize to something else than zeros or ones
+
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> full([nat, sex], 42.0)
+    nat\sex |    M |    F
+         BE | 42.0 | 42.0
+         FO | 42.0 | 42.0
+    >>> initial_value = ndrange([sex])
+    >>> initial_value
+    sex | M | F
+        | 0 | 1
+    >>> full([nat, sex], initial_value)
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 0 | 1
+
+* performance improvements when using label keys: a[key] is faster, especially if key is large
+
+
+Fixes
+-----
+
+* to_excel(filepath) only closes the file if it was not open before
+* removed code which forced labels from .csv files to be strings (as it caused problems in many cases, e.g. ages in
+  LIAM2 files)
+
+
+Misc. stuff for completeness
+----------------------------
+
+* made LGroups usable in Python's builtin range() and convertible to int and float
+* implemented AxisCollection.union (equivalent to AxisCollection | Axis)
+* fixed boolean array keys (boolean filter) in combination with scalar keys (for other dimensions)
+* fixed support for older numpy
+* fixed LArray.shift(n=0)
+* still more work on making arrays with anonymous axes usable (not there yet) 
+* added more tests
+* better docstrings/error messages…
+* misc. code cleanup/simplification/improved comments
diff --git a/doc/source/changes/version_0_11_1.rst.inc b/doc/source/changes/version_0_11_1.rst.inc
new file mode 100644
index 000000000..b45f423f8
--- /dev/null
+++ b/doc/source/changes/version_0_11_1.rst.inc
@@ -0,0 +1,4 @@
+Fixes
+-----
+
+* fixed new functions full, full_like and create_sequential not being available when using `from larray import *`
diff --git a/doc/source/changes/version_0_12.rst.inc b/doc/source/changes/version_0_12.rst.inc
new file mode 100644
index 000000000..a7481902f
--- /dev/null
+++ b/doc/source/changes/version_0_12.rst.inc
@@ -0,0 +1,266 @@
+New features
+------------
+
+* implemented boolean indexing by using axes objects:
+
+    >>> sex = Axis('sex', 'M,F')
+    >>> age = Axis('age', range(5))
+    >>> a = ndrange((sex, age))
+    >>> a
+    sex\age | 0 | 1 | 2 | 3 | 4
+          M | 0 | 1 | 2 | 3 | 4
+          F | 5 | 6 | 7 | 8 | 9
+
+    >>> a[age < 3]
+    sex\age | 0 | 1 | 2
+          M | 0 | 1 | 2
+          F | 5 | 6 | 7
+
+  This new syntax is equivalent to (but currently much slower than):
+
+    >>> a[age[:2]]
+    sex\age | 0 | 1 | 2
+          M | 0 | 1 | 2
+          F | 5 | 6 | 7
+
+  However, the power of this new syntax comes from the fact that you are not limited to scalar constants
+
+    >>> age_limit = LArray([2, 3], sex)
+    >>> age_limit
+    sex | M | F
+        | 2 | 3
+
+    >>> a[age < age_limit]
+    sex,age | M,0 | M,1 | F,0 | F,1 | F,2
+            |   0 |   1 |   5 |   6 |   7
+
+  Notice that the concerned axes are merged, so you cannot do much as much with them. For example,
+  `a[age < age_limit].sum(x.age)` would not work since there is no "age" axis anymore.
+
+  To keep axes intact, one can often set the values of the corresponding cells to 0 or nan instead.
+
+    >>> a[age < age_limit] = 0
+    >>> a
+    sex\age | 0 | 1 | 2 | 3 | 4
+          M | 0 | 0 | 2 | 3 | 4
+          F | 0 | 0 | 0 | 8 | 9
+    >>> # in this case, the sum *is* valid (but the mean would not -- one should use nan for that)
+    >>> a.sum(x.age)
+    sex | M |  F
+        | 9 | 17
+
+  To keep axes intact, this idiom is also often useful:
+
+    >>> b = a * (age >= age_limit)
+    >>> b
+    sex\age | 0 | 1 | 2 | 3 | 4
+          M | 0 | 0 | 2 | 3 | 4
+          F | 0 | 0 | 0 | 8 | 9
+
+  This also works with axes references (x.axis_name), though this is experimental and the filter value is only computed
+  as late as possible (during []), so you cannot display it before that, like you can with "real" axes.
+
+  Using "real" axes:
+
+    >>> filter1 = age < age_limit
+    >>> filter1
+    age\sex |     M |     F
+          0 |  True |  True
+          1 |  True |  True
+          2 | False |  True
+          3 | False | False
+          4 | False | False
+    >>> a[filter1]
+    sex,age | M,0 | M,1 | F,0 | F,1 | F,2
+            |   0 |   1 |   5 |   6 |   7
+
+  With axes references:
+
+    >>> filter2 = x.age < age_limit
+    >>> filter2
+    <larray.core.BinaryOp at 0x1332ae3b588>
+    >>> a[filter2]
+    sex,age | M,0 | M,1 | F,0 | F,1 | F,2
+            |   0 |   1 |   5 |   6 |   7
+    >>> a * ~filter2
+    sex\age | 0 | 1 | 2 | 3 | 4
+          M | 0 | 0 | 2 | 3 | 4
+          F | 0 | 0 | 0 | 8 | 9
+
+* implemented LArray.divnot0
+
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange((nat, sex))
+    >>> a
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> b = ndrange(sex)
+    >>> b
+    sex | M | F
+        | 0 | 1
+    >>> a / b
+    nat\sex |   M |   F
+         BE | nan | 1.0
+         FO | inf | 3.0
+    >>> a.divnot0(b)
+    nat\sex |   M |   F
+         BE | 0.0 | 1.0
+         FO | 0.0 | 3.0
+
+* implemented .named() on groups to name groups after the fact
+
+    >>> a = ndrange(Axis('age', range(100)))
+    >>> a
+    age | 0 | 1 | 2 | 3 | 4 | 5 | 6 | ... | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99
+        | 0 | 1 | 2 | 3 | 4 | 5 | 6 | ... | 92 | 93 | 94 | 95 | 96 | 97 | 98 | 99
+    >>> a.sum((x.age[10:19].named('teens'), x.age[20:29].named('twenties')))
+    age | 'teens' (10:19) | 'twenties' (20:29)
+        |             145 |                245
+
+* made all array creation functions (ndrange, zeros, ones, full, LArray, …) more flexible:
+
+  They accept a single Axis argument instead of requiring a tuple/list of them
+
+    >>> sex = Axis('sex', 'M,F')
+    >>> a = ndrange(sex)
+    >>> a
+    sex | M | F
+        | 0 | 1
+
+  Shortcut definition for axes work
+
+    >>> ndrange("a,b,c")
+    {0} | a | b | c
+        | 0 | 1 | 2
+    >>> ndrange(["1:3", "d,e"])
+    {0}\{1} | d | e
+          1 | 0 | 1
+          2 | 2 | 3
+          3 | 4 | 5
+    >>> LArray([1, 5, 7], "a,b,c")
+    {0} | a | b | c
+        | 1 | 5 | 7
+
+  One can mix Axis objects and ints (for axes without labels)
+
+    >>> sex = Axis('sex', 'M,F')
+    >>> ndrange([sex, 3])
+    sex\{1}* | 0 | 1 | 2
+           M | 0 | 1 | 2
+           F | 3 | 4 | 5
+
+* made it possible to iterate on labels of a group (eg a slice of an Axis):
+
+    >>> for year in a.axes.year[2010:]:
+    ...     # do stuff
+
+* changed representation of anonymous axes from "axisN" (where N is the position of the axis) to "{N}". 
+  The problem was that "axisN" was not recognizable enough as an anonymous axis, and it was thus misleading. For
+  example "a[x.axis0[...]]" would not work.
+
+* better overall support for arrays with anonymous axes or several axes with the same name
+
+* fixed all output functions (to_csv, to_excel, to_hdf, …) when the last axis has no name but other axes have one
+
+* implemented eye() which creates 2D arrays with ones on the diagonal and zeros elsewhere.
+
+    >>> eye(sex)
+    sex\sex |   M |   F
+          M | 1.0 | 0.0
+          F | 0.0 | 1.0
+
+* implemented the @ operator to do matrix multiplication (Python3.5+ only)
+
+* implemented inverse() to return the (matrix) inverse of a (square) 2D array
+
+    >>> a = eye(sex) * 2
+    >>> a
+    sex\sex |   M |   F
+          M | 2.0 | 0.0
+          F | 0.0 | 2.0
+
+    >>> a @ inverse(a)
+    sex\sex |   M |   F
+          M | 1.0 | 0.0
+          F | 0.0 | 1.0
+
+* implemented diag() to extract a diagonal or construct a diagonal array.
+
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([nat, sex], start=1)
+    >>> a
+    nat\sex | M | F
+         BE | 1 | 2
+         FO | 3 | 4
+    >>> d = diag(a)
+    >>> d
+    nat,sex | BE,M | FO,F
+            |    1 |    4
+    >>> diag(d)
+    nat\sex | M | F
+         BE | 1 | 0
+         FO | 0 | 4
+    >>> a = ndrange(sex, start=1)
+    >>> a
+    sex | M | F
+        | 1 | 2
+    >>> diag(a)
+    sex\sex | M | F
+          M | 1 | 0
+          F | 0 | 2
+
+
+For completeness
+----------------
+
+* added Axis.rename method which returns a copy of the axis with a different name and deprecate Axis._rename
+
+* added labels_array as a generalized version of identity (which is deprecated)
+
+* implemented LArray.ipoints[...] to do point selection using coordinates instead of labels (aka numpy indexing)
+
+* raise an error when trying to do a[key_with_more_axes_than_a] = value instead of silently ignoring extra axes.
+
+* allow using a single int for index_col in read_csv in addition to a list of ints 
+
+* implemented __getitem__ for "x". You can now write stuff like:
+
+    >>> a = ndrange((3, 4))
+    >>> a[x[0][1:]]
+    {0}\{1}* | 0 | 1 |  2 |  3
+           1 | 4 | 5 |  6 |  7
+           2 | 8 | 9 | 10 | 11
+    >>> a[x[1][2:]]
+    {0}*\{1} |  2 |  3
+           0 |  2 |  3
+           1 |  6 |  7
+           2 | 10 | 11
+    >>> a.sum(x[0])
+    {0}* |  0 |  1 |  2 |  3
+         | 12 | 15 | 18 | 21
+
+* produce normal axes instead of wildcard axes on LArray.points[...]. This is (much) slower but more correct/informative.
+
+* changed the way we store axes internally, which has several consequences
+
+    - better overall support for anonymous axes
+    - better support for arrays with several axes with the same name
+    - small performance improvement
+    - the same axis object cannot be added twice in an array (one should use axis.copy() if that need arises)
+    - changes the way groups with an axis are displayed
+
+* fixed sum, min, max functions on non-LArray arguments
+
+* changed __repr__ for wildcard axes to not display their labels but their length
+
+    >>> ndrange(3).axes[0]
+    Axis(None, 3)
+
+* fixed aggregates on several groups "forgetting" the name of groups which had been created using axis.all()
+
+* allow Axis(..., long) in addition to int (Python2 only)
+
+* better docstrings/tests/comments/error messages/thoughts/…
diff --git a/doc/source/changes/version_0_13.rst.inc b/doc/source/changes/version_0_13.rst.inc
new file mode 100644
index 000000000..22f0cd7d1
--- /dev/null
+++ b/doc/source/changes/version_0_13.rst.inc
@@ -0,0 +1,84 @@
+New features
+------------
+
+* implemented a new way to do input/output from/to Excel
+
+    >>> a = ndrange((2, 3))
+    >>> wb = open_excel('c:/tmp/y.xlsx')
+    # put a at A1 in Sheet1, excluding headers (labels)
+    >>> wb['Sheet1'] = a
+    # dump a at A1 in Sheet2, including headers (labels)
+    >>> wb['Sheet2'] = a.dump()
+    # save the file to disk
+    >>> wb.save()
+    # close it
+    >>> wb.close()
+
+    >>> wb = open_excel('c:/tmp/y.xlsx')
+    # load a from the data starting at A1 in Sheet1, assuming the absence of headers.
+    >>> a1 = wb['Sheet1']
+    # load a from the data starting at A1 in Sheet1, assuming the presence of (correctly formatted) headers.
+    >>> a2 = wb['Sheet2'].load()
+    >>> wb.close()
+
+    >>> wb = open_excel('c:/tmp/y.xlsx')
+    # note that Sheet2 must exist
+    >>> sheet2 = wb['Sheet2']
+    # write a without labels starting at C5
+    >>> sheet2['C5'] = a
+    # write a with its labels starting at A10
+    >>> sheet2['A10'] = a.dump()
+
+  load an array with its axes information from a range. As you might have guessed, we could also use the sheet2
+  variable here
+
+    >>> b = wb['Sheet2']['A10:D12'].load()
+    >>> b
+    {0}*\{1}* | 0 | 1 | 2
+            0 | 0 | 1 | 2
+            1 | 3 | 4 | 5
+
+  load an array (raw data) with no axis information from a range.
+
+    >>> c = sheet['B11:D12']
+    >>> # in fact, this is not really an LArray ...
+    >>> c
+    <larray.excel.Range at 0x1ff1bae22e8>
+    >>> # but it can be used as such (this is currently very experimental)
+    >>> c.sum(axis=0)
+    {0}* |   0 |   1 |   2
+         | 3.0 | 5.0 | 7.0
+    >>> # ... and it can be used for other stuff, like setting the formula instead of the value:
+    >>> c.formula = '=D10+1'
+    >>> # in the future, we should also be able to set font name, size, style, etc.
+
+* implemented LArray.rename({axis: new_name}) as well as using kwargs to rename several axes at once
+
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> a = ndrange([nat, sex])
+    >>> a
+    nat\sex | M | F
+         BE | 0 | 1
+         FO | 2 | 3
+    >>> a.rename(nat='nat2', sex='gender')
+    nat2\gender | M | F
+             BE | 0 | 1
+             FO | 2 | 3
+    >>> a.rename({'nat': 'nat2', 'sex': 'gender'})
+    nat2\gender | M | F
+             BE | 0 | 1
+             FO | 2 | 3
+
+* made tab-completion of axes names possible in an interactive console 
+
+For completeness
+----------------
+
+* taking a subset of an array with wildcard axes now returns an array with wildcard axes
+
+* fixed a case where wildcard axes were considered incompatible when they actually were compatible 
+
+* better support for anonymous axes
+
+* fix for obscure bugs, better doctests, cleaner implementation for a few functions, …
diff --git a/doc/source/changes/version_0_14.rst.inc b/doc/source/changes/version_0_14.rst.inc
new file mode 100644
index 000000000..a01d9fb62
--- /dev/null
+++ b/doc/source/changes/version_0_14.rst.inc
@@ -0,0 +1,149 @@
+Important warning
+-----------------
+
+This version is not compatible with the new version of xlwings that just came
+out. Consequently, upgrading to this version is different from the usual
+"conda update larray". You should rather use:
+
+    conda update larray --no-update-deps
+
+To get the most of this release, you should also install the "qtconsole"
+package via:
+
+    conda install qtconsole
+
+Viewer
+------
+
+* upgraded session viewer/editor to work like a super-calculator. The input box
+  below the array view can be used to type any expression. eg
+  array1.sum(x.age) / array2, which will be displayed in the viewer.
+  One can also type assignment commands, like:
+  array3 = array1.sum(x.age) / array2
+  In which case, the new array will be displayed in the viewer AND added to the
+  session (appear on the list on the left), so that you can use it in other
+  expressions.
+
+  If you have the "qtconsole" package installed (see above), that input box will be a full ipython console. This means:
+   - history of typed commands,
+   - tab-completion (for example, type "nd<tab>" and it will change to "ndrange"),
+   - syntax highlighting,
+   - calltips (show the documentation of functions when typing commands using them),
+   - help on functions using "?". For example, type "ndrange?<enter>" to get the full documentation about ndrange.
+     Use <ESC> or <q> to quit that screen !),
+   - etc.
+
+  When having the "qtconsole" package installed, you might get a warning when
+  starting the viewer: ::
+
+      WARNING:root:Message signing is disabled.  This is insecure and not recommended!
+
+  This is totally harmless and can be safely ignored !
+
+* made view() and edit() without argument equivalent to view(local_arrays())
+  and edit(local_arrays()) respectively.
+
+* made the viewer on large arrays start a lot faster by using a small
+  subset of the array to guess the number of decimals to display and whether or
+  not to use scientific notation.
+
+* improved compare():
+   - added support for comparing sessions. Arrays with differences between sessions are colored in red.
+   - use a single array widget instead of 3. This is done by stacking arrays together to create a new dimension. This
+     has the following advantages:
+
+      * the filter and scrollbars are de-facto automatically synchronized.
+      * any number of arrays can be compared, not just 2. All arrays are compared to the first one.
+      * arrays with different sets of compatible axes can be compared (eg compare an array with its mean along an axis).
+
+   - added label to show maximum absolute difference.
+
+* implemented edit(session) in addition to view(session).
+
+
+Excel support
+-------------
+
+* added support for copying sheets via: wb['x'] = wb['y']
+  if 'x' sheet already existed, it is completely overwritten.
+
+
+Core
+----
+
+* improved performance. My test models run about 10% faster than with 0.13.
+
+* made cumsum and cumprod aggregate on the last axis by default so that the
+  axis does not need to be specified when there is only one.
+
+* implemented much better support for operations using arrays of different
+  types. For example,
+
+    - fixed create_sequential when mult, inc and initial are of different types
+      eg create_sequential(..., initial=1, inc=0.1) had an unexpected integer
+      result because it always used the type of the initial value for the output
+    - when appending a string label to an integer axis (eg adding total to an
+      age axis by using with_total()), the resulting axis should have a mixed
+      type, and not be suddenly all string.
+    - stack() now supports arrays with different types.
+
+* made stack support arrays with different axes (the result has the union of all axes)
+
+
+For completeness
+----------------
+
+Excel support
+~~~~~~~~~~~~~
+
+* use xlwings (ie live Excel instance) by default for all Excel input/output,
+  including read_excel(), session.dump and session.load/Session(filename).
+  This has the advantage of more coherent results among the different ways to
+  load/save data to Excel and that simple sessions correctly survive a
+  round-trip to an .xlsx workbook (ie (named) axes are detected properly).
+  However, given the very different library involved, we loose most options
+  that read_excel used to provide (courtesy of pandas.read_excel) and some
+  bugs were probably introduced in the conversion.
+
+* fixed creating a new file via open_excel()
+
+* fixed loading 1D arrays (ranges with height 1 or width 1) via open_excel()
+
+* fixed sheet['A1'] = array in some cases
+
+* wb.close() only really close if the workbook was not already open in Excel
+  when open_excel was called (so that we do not close a workbook a user is
+  actually viewing).
+
+* added support for wb.save(filename), or actually for using any relative
+  path, instead of a full absolute path.
+
+* when dumping a session to Excel, sort sheets alphabetically instead of
+  dumping them in a "random" order.
+
+* try to convert float to int in more situations
+
+Core
+~~~~
+
+* added support for using stack() without providing an axis. It creates an
+  anonymous wildcard axis of the correct length.
+
+* added aslarray() top-level function to translate anything into an LArray if
+  it is not already one
+
+* made labels_array available via `from larray import *`
+
+* fixed binary operations between an array and an axis where the array
+  appeared first (eg array > axis). Confusingly, axis < array already worked.
+
+* added check in "a[bool_larray_key]" to make sure key.axes are compatible
+  with a.axes
+
+* made create_sequential a lot faster when mult or inc are constants
+
+* made axes without name compatible with any name
+  (this is the equivalent of a wildcard name for labels)
+
+* misc cleanup/docstring improvements/improved tests/improved error messages
+
diff --git a/doc/source/changes/version_0_14_1.rst.inc b/doc/source/changes/version_0_14_1.rst.inc
new file mode 100644
index 000000000..67d88a8d6
--- /dev/null
+++ b/doc/source/changes/version_0_14_1.rst.inc
@@ -0,0 +1,7 @@
+Fixes
+-----
+
+* fixed support for loading arrays without axe names from Excel files (in that case index_col/nb_index are necessary)
+* fixed using a single int for index_col in read_excel() and sheet.load()
+* fixed loading empty Excel sheets via xlwings correctly (ie do not crash)
+* fixed dumping a session loaded from an H5 file to Excel
diff --git a/doc/source/changes/version_0_15.rst.inc b/doc/source/changes/version_0_15.rst.inc
new file mode 100644
index 000000000..c123d5e17
--- /dev/null
+++ b/doc/source/changes/version_0_15.rst.inc
@@ -0,0 +1,69 @@
+Core
+----
+
+* added new methods on axes: matches, startswith, endswith
+
+    >>> country = Axis('country', ['FR', 'BE', 'DE', 'BR'])
+    >>> country.matches('BE|FR')
+    LGroup(['FR', 'BE'])
+    >>> country.matches('^..$') # labels 2 characters long
+    LGroup(['FR', 'BE', 'DE', 'BR'])
+
+    >>> country.startswith('B')
+    LGroup(['BE', 'BR'])
+    >>> country.endswith('R')
+    LGroup(['FR', 'BR'])
+
+* implemented set-like operations on LGroup: & (intersection), | (union),  - (difference).
+  Slice groups do not work yet on axes references (x.) but that will come in the future…
+
+    >>> alpha = Axis('alpha', 'a,b,c,d')
+    >>> alpha['a', 'b'] | alpha['c', 'd']
+    LGroup(['a', 'b', 'c', 'd'], axis=…)
+    >>> alpha['a', 'b', 'c'] | alpha['c', 'd']
+    LGroup(['a', 'b', 'c', 'd'], axis=…)
+
+  a name is computed automatically when both operands are named
+
+    >>> r = alpha['a', 'b'].named('ab') | alpha['c', 'd'].named('cd')
+    >>> r.name
+    'ab | cd'
+    >>> r.key
+    ['a', 'b', 'c', 'd']
+
+  numeric axes work too
+
+    >>> num = Axis('num', range(10))
+    >>> num[:2] | num[8:]
+    num[0, 1, 2, 8, 9]
+    >>> num[:2] | num[5]
+    num[0, 1, 2, 5])
+
+  intersection
+
+    >>> LGroup(['a', 'b', 'c']) & LGroup(['c', 'd'])
+    LGroup(['c'])
+
+  difference
+
+    >>> LGroup(['a', 'b', 'c']) - LGroup(['c', 'd'])
+    LGroup(['a', 'b'])
+    >>> LGroup(['a', 'b', 'c']) - 'b'
+    LGroup(['a', 'c'])
+
+* fixed loading 1D arrays using open_excel 
+
+
+Viewer
+------
+
+* added tooltip with the axes labels corresponding to each cell of the array viewer
+* added name and dimensions of the current array to the window title bar in the session viewer
+* added tooltip with each array .info() in the list of arrays of the session viewer
+
+* fixed eval box throwing an exception when trying to set a new variable (if qtconsole is not present)
+* fixed group aggregates using LGroups defined using axes references (x.), for example: 
+
+    >>> arr.sum(x.age[:10])
+
+* fixed group aggregates using anonymous axes
diff --git a/doc/source/changes/version_0_16.rst.inc b/doc/source/changes/version_0_16.rst.inc
new file mode 100644
index 000000000..66f8277eb
--- /dev/null
+++ b/doc/source/changes/version_0_16.rst.inc
@@ -0,0 +1,178 @@
+Warning: this release needs to be installed using:
+
+  conda update larray
+  conda update xlwings
+
+
+New features
+------------
+
+* implemented support for xlwings 0.9+. This allowed us to change the way we interact with Excel:
+
+  - by default, the Excel instance we use is configured to be both hidden and
+    silent (for example, it does not prompt to update/edit links).
+
+  - by default, we now use a dedicated Excel instance for each call to
+    open_excel, instead of reusing any existing instance if there was any open.
+    In practice, it means input/output from/to Excel is more reliable and does
+    not risk altering any workbook you had open (except if you ask for that
+    explicitly). The cost of this is that it is slower by default. If you open
+    many different workbooks, it is recommended that you create a single Excel
+    instance and reuse it. This can be done with:
+
+    >>> from larray import *
+    >>> import xlwings as xw
+
+    >>> app = xw.App(visible=False, add_book=False)
+    >>> wb1 = open_excel('workbook1.xlsx', app=app)
+    # use wb1 as before
+    >>> wb1.close()
+    >>> wb2 = open_excel('workbook2.xlsx', app=app)
+    # use wb2 as before
+    >>> wb2.close()
+    >>> app.quit()    
+
+* added ipfp function which does Iterative Proportional Fitting Procedure (also known as bi-proportional fitting in
+  statistics or RAS algorithm in economics). Note that this new function is currently not in the core module,
+  so it needs a specific import command:
+  
+    >>> from larray.ipfp import ipfp
+
+    >>> a = Axis('a', 2)
+    >>> b = Axis('b', 2)
+    >>> initial = LArray([[2, 1],
+    ...                   [1, 2]], [a, b])
+    >>> initial
+    a*\b* | 0 | 1
+        0 | 2 | 1
+        1 | 1 | 2
+    >>> target_sum_along_a = LArray([2, 1], b)
+    >>> target_sum_along_b = LArray([1, 2], a)
+    >>> ipfp([target_sum_along_a, target_sum_along_b], initial, threshold=0.01)
+    a*\b* |                  0 |                   1
+        0 | 0.8450704225352113 | 0.15492957746478875
+        1 | 1.1538461538461537 |  0.8461538461538463
+                               
+* made it possible to create arrays more succintly in some usual cases (especially for quick arrays for testing
+  purposes). Previously, when one created an array from scratch, he had to provide Axis object(s) (or another array).
+  Note that the following examples use zeros() but this change affects all array creation functions (ones, zeros,
+  ndrange, full, empty):
+  
+    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> zeros([nat, sex])
+    nat\sex |   M |   F
+         BE | 0.0 | 0.0
+         FO | 0.0 | 0.0
+
+  Now, when you have axe names and axes labels but do not have/want to reuse an
+  existing axis, you can use this syntax:
+
+    >>> zeros([('nat', ['BE', 'FO']),
+    ...        ('sex', ['M', 'F'])])
+    nat\sex |   M |   F
+         BE | 0.0 | 0.0
+         FO | 0.0 | 0.0
+
+  If additionally all axe names and labels are strings (not integers or other types) which do not contain any special
+  character ("=", "," or ";") you can use:
+
+    >>> zeros('nat=BE,FO;sex=M,F')
+    nat\sex |   M |   F
+         BE | 0.0 | 0.0
+         FO | 0.0 | 0.0
+
+  See below (*) for some more alternate syntaxes and an explanation of how this works.
+
+* added additional, less error-prone syntax for stack:
+
+    >>> nat = Axis('nat', 'BE,FO')
+    >>> arr1 = ones(nat)
+    >>> arr1
+    nat |  BE |  FO
+        | 1.0 | 1.0
+    >>> arr2 = zeros(nat)
+    >>> arr2
+    nat |  BE |  FO
+        | 0.0 | 0.0
+    >>> stack([('M', arr1), ('F', arr2)], 'sex')
+    nat\sex |   H |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+  in addition to the still supported but discouraged (because one has to remember the order of labels):
+
+    >>> sex = Axis('sex', ['M', 'F'])
+    >>> stack((arr1, arr2), sex)
+    nat\sex |   H |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+* added LArray.compact and Session.compact() to detect and remove "useless" axes
+  (ie axes for which values are constant over the whole axis)
+
+    >>> a = LArray([[1, 2], [1, 2]], [Axis('sex', 'M,F'), Axis('nat', 'BE,FO')])
+    >>> a
+    sex\nat | BE | FO
+          M |  1 |  2
+          F |  1 |  2
+    >>> a.compact()
+    nat | BE | FO
+        |  1 |  2
+
+* made Session keep the order in which arrays were added to it. The main goal was to make this work:
+
+    >>> b, a = s['b', 'a']
+
+  Previously, since sessions were always traversed alphabetically, this was a dangerous operation because if the keys
+  (a and b) were not sorted alphabetically, the result would not be in the expected order:
+  
+  s['b', 'a'] previously returned a, b instead of b, a !!
+  
+  Session.names is still sorted alphabetically though (Session.keys() is not)
+
+* added LArray.with_axes(axes) to return a new LArray with the same data but different axes
+
+    >>> a = ndrange(2)
+    >>> a
+    {0}* | 0 | 1
+         | 0 | 1
+    >>> a.with_axes([Axis('sex', 'H,F')])
+    sex | H | F
+        | 0 | 1
+
+* changed width from which an LArray is summarized (using "...") from 80 characters to 200.
+
+* implemented memory_used property which displays nbytes in human-readable form
+
+    >>> a = ndrange('sex=H,F;nat=BE,FO')
+    >>> a.memory_used
+    '16 bytes'
+    >>> a = ndrange(100000)
+    >>> a.memory_used
+    '390.62 Kb'
+
+* implemented Axis + AxisCollection
+
+    >>> a = ndrange('sex=M,F;type=t1,t2')
+    >>> Axis('nat', 'BE,FO') + a.axes
+    AxisCollection([
+        Axis('nat', ['BE', 'FO']),
+        Axis('sex', ['M', 'F']),
+        Axis('type', ['t1', 't2'])
+    ])
+  
+(*) For the curious, there are also many syntaxes supported for array creation
+functions. In fact, during array creation, at any place a list or tuple of
+values is expected, you can specify it using a single string, which will be
+split successively at the following characters if present: ";" then "=" then
+",". If you apply that algorithm to 'nat=BE,FO;sex=M,F', you get:
+
+1) 'nat=BE,FO;sex=M,F'
+2) ('nat=BE,FO', 'sex=M,F')
+3) (('nat', 'BE,FO'), ('sex', 'M,F'))
+4) (('nat', ('BE', 'FO')), ('sex', ('M', 'F')))
+
+Recognise this last syntax? This is the same as above, except above we replaced
+some () with [] for clarity. In fact all the intermediate forms here above are
+valid (and equivalent) in array creation functions.
diff --git a/doc/source/changes/version_0_16_1.rst.inc b/doc/source/changes/version_0_16_1.rst.inc
new file mode 100644
index 000000000..b8953e309
--- /dev/null
+++ b/doc/source/changes/version_0_16_1.rst.inc
@@ -0,0 +1,12 @@
+Viewer
+------
+
+* renamed "Ok" button in array/session viewer to "Close".
+* added apply and discard buttons in session editor, which permanently apply or discard changes to the current array.
+
+Core
+----
+
+* fixed array[sequence, scalar] = value
+* fixed array.to_excel() which was broken in 0.16 (by the upgrade to xlwings 0.9+).
+* improved a few tests
diff --git a/doc/source/changes/version_0_17.rst.inc b/doc/source/changes/version_0_17.rst.inc
new file mode 100644
index 000000000..9eff2e190
--- /dev/null
+++ b/doc/source/changes/version_0_17.rst.inc
@@ -0,0 +1,85 @@
+Core
+----
+
+* added ndtest function to create n-dimensional test arrays (of given shape). Axes are named by single letters starting from 'a'. Axes labels are constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). 
+
+    >>> ndtest(6)
+    a | a0 | a1 | a2 | a3 | a4 | a5
+      |  0 |  1 |  2 |  3 |  4 |  5
+    >>> ndtest((2, 3))
+    a\b | b0 | b1 | b2
+    a0 |  0 |  1 |  2
+    a1 |  3 |  4 |  5
+    >>> ndtest((2, 3), label_start=1)
+    a\b | b1 | b2 | b3
+    a1 |  0 |  1 |  2
+    a2 |  3 |  4 |  5
+
+* allow naming "one-shot" groups in group aggregates.
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b | b0 | b1 | b2
+    a0 |  0 |  1 |  2
+    a1 |  3 |  4 |  5
+    >>> arr.sum('g1=b0;g2=b1,b2;g3=b0:b2')
+    a\b | 'g1' ('b0') | 'g2' (['b1' 'b2']) | 'g3' ('b0':'b2')
+    a0 |           0 |                  3 |                3
+    a1 |           3 |                  9 |               12
+
+* implemented argmin, argmax, posargmin, posargmax without an axis argument (works on the full array).
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b | b0 | b1 | b2
+    a0 |  0 |  1 |  2
+    a1 |  3 |  4 |  5
+    >>> arr.argmin()
+    ('a0', 'b0')
+
+* added preliminary code to add a title attribute to LArray.
+
+  This needs a lot more work to be really useful though, as it can currently only be used
+  in the LArray() function itself and is only used in Session.summary() (see below).
+  There are many places where this should be used, but this is not done yet.
+
+* added Session.summary() which displays a list of all arrays, their dimension names and title if any.
+  
+  This can be used in combination with local_arrays() to produce some kind of codebook with all
+  the arrays of a function.
+
+    >>> arr = LArray([[1, 2], [3, 4]], 'sex=M,F;nat=BE,FO', title='a test array')
+    >>> arr
+    sex\nat | BE | FO
+          M |  1 |  2
+          F |  3 |  4
+    >>> s = Session({'arr': arr})
+    >>> s
+    Session(arr)
+    >>> print(s.summary())
+    arr: sex, nat
+        a test array
+
+* fixed using groups from other (compatible) axis
+* fixed group aggregates using groups without axis
+* fixed axis[another_label_group] when said group had a non-string Axis
+* fixed axis.group(another_label_group, name='a_name') (name was not set correctly)
+* fixed ipfp progress message when progress is negative
+
+
+viewer
+------
+
+* when setting part of an array in the console (by using e.g. arr['M'] = 10), display that array
+* when typing in the console the name of an existing array, select it in the list
+
+* fixed missing tooltips for arrays added to the session from within the session viewer
+* fixed window title (with axes info) not updating in many cases
+* fixed the filters bar not being cleared when displaying a non-LArray object after an LArray object
+
+
+misc
+----
+
+* improved messages in ipfp(display_progress=True)
+* improved tests, docstrings, ...
diff --git a/doc/source/changes/version_0_18.rst.inc b/doc/source/changes/version_0_18.rst.inc
new file mode 100644
index 000000000..dc0c9c696
--- /dev/null
+++ b/doc/source/changes/version_0_18.rst.inc
@@ -0,0 +1,203 @@
+Major improvements
+------------------
+
+* the documentation (docstrings) of many functions was vastly improved (thanks to Alix)
+
+* implemented a new optional syntax to generate sequences of labels for axes by using patterns
+
+  integer strings generate integers
+
+    >>> ndrange('age=0..10')
+    age | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
+        | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
+
+  you can combine letters and numbers. The number part is treated like increasing (or decreasing numbers)
+
+    >>> ndrange('lipro=P01..P12')
+    lipro | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | P11 | P12
+          |   0 |   1 |   2 |   3 |   4 |   5 |   6 |   7 |   8 |   9 |  10 |  11
+
+  letter patterns generate all combination of letters between the start and end:
+
+    >>> ndrange('test=AA..CC')
+    test | AA | AB | AC | BA | BB | BC | CA | CB | CC
+         |  0 |  1 |  2 |  3 |  4 |  5 |  6 |  7 |  8
+
+  other characters are left intact (and should be the same on the start and end patterns:
+
+    >>> ndrange('test=A_1..C_2')
+    test | A_1 | A_2 | B_1 | B_2 | C_1 | C_2
+         |   0 |   1 |   2 |   3 |   4 |   5
+
+  this also works within Axis()
+
+    >>> Axis('age', '0..10')
+    Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
+
+* implemented new syntax for defining groups using strings:
+
+    >>> arr = ndtest((3, 4))
+    >>> arr
+    a\b | b0 | b1 | b2 | b3
+     a0 |  0 |  1 |  2 |  3
+     a1 |  4 |  5 |  6 |  7
+     a2 |  8 |  9 | 10 | 11
+
+  groups can be named using ">>" instead of "=" previously
+    
+    >>> arr.sum('b1,b3 >> b13;b0:b2 >> b012')
+    a\b | b13 | b012
+     a0 |   4 |    3
+     a1 |  12 |   15
+     a2 |  20 |   27
+
+  if some labels are ambiguous, one can specify the axis by using "axis_name[labels]":
+
+    >>> arr.sum('b[b1,b3] >> b13;b[b0:b2] >> b012')
+    a\b | b13 | b012
+     a0 |   4 |    3
+     a1 |  12 |   15
+     a2 |  20 |   27
+
+  groups can also be defined by position using this syntax:
+
+    >>> arr.sum('b.i[1,3] >> b13;b.i[0:3] >> b012')
+    a\b | b13 | b012
+     a0 |   4 |    3
+     a1 |  12 |   15
+     a2 |  20 |   27
+
+  A few notes:
+
+    - the goal was to have that syntax as close as the "normal" syntax as possible (just remove the "x." and all inner
+      quotes).
+    - in models, the normal syntax should be preferred, so that the groups can be stored in a variable and reused in
+      several places
+    - strings representing integers are evaluated as integers.
+    - there is experimental support for evaluating expressions within string groups by using "{expr}", but this is
+      fragile and might be removed in the future.
+
+* implemented combine_axes & split_axis on arrays:
+
+    >>> arr = ndtest((2, 3, 4))
+    >>> arr
+     a | b\c | c0 | c1 | c2 | c3
+    a0 |  b0 |  0 |  1 |  2 |  3
+    a0 |  b1 |  4 |  5 |  6 |  7
+    a0 |  b2 |  8 |  9 | 10 | 11
+    a1 |  b0 | 12 | 13 | 14 | 15
+    a1 |  b1 | 16 | 17 | 18 | 19
+    a1 |  b2 | 20 | 21 | 22 | 23
+
+    >>> arr2 = arr.combine_axes((x.a, x.b))
+    >>> arr2
+    a_b\c | c0 | c1 | c2 | c3
+    a0_b0 |  0 |  1 |  2 |  3
+    a0_b1 |  4 |  5 |  6 |  7
+    a0_b2 |  8 |  9 | 10 | 11
+    a1_b0 | 12 | 13 | 14 | 15
+    a1_b1 | 16 | 17 | 18 | 19
+    a1_b2 | 20 | 21 | 22 | 23
+
+    >>> arr2.split_axis(x.a_b)
+     a | b\c | c0 | c1 | c2 | c3
+    a0 |  b0 |  0 |  1 |  2 |  3
+    a0 |  b1 |  4 |  5 |  6 |  7
+    a0 |  b2 |  8 |  9 | 10 | 11
+    a1 |  b0 | 12 | 13 | 14 | 15
+    a1 |  b1 | 16 | 17 | 18 | 19
+    a1 |  b2 | 20 | 21 | 22 | 23
+
+* implemented .by() method on groups which splits them into subgroups of specified length
+
+    >>> arr = ndtest((5, 2))
+    >>> arr
+    a\b | b0 | b1
+     a0 |  0 |  1
+     a1 |  2 |  3
+     a2 |  4 |  5
+     a3 |  6 |  7
+     a4 |  8 |  9
+
+    >>> arr.sum(a['a0':'a4'].by(2))
+             a\b | b0 | b1
+    a['a0' 'a1'] |  2 |  4
+    a['a2' 'a3'] | 10 | 12
+         a['a4'] |  8 |  9
+
+  there is also an optional second argument to specify the "step" between groups
+
+    >>> arr.sum(a['a0':'a4'].by(2, step=3))
+             a\b | b0 | b1
+    a['a0' 'a1'] |  2 |  4
+    a['a3' 'a4'] | 14 | 16
+
+  if the step is < the group size, you get overlapping groups:
+
+    >>> arr.sum(a['a0':'a4'].by(2, step=1))
+             a\b | b0 | b1
+    a['a0' 'a1'] |  2 |  4
+    a['a1' 'a2'] |  6 |  8
+    a['a2' 'a3'] | 10 | 12
+    a['a3' 'a4'] | 14 | 16
+         a['a4'] |  8 |  9
+
+* groups can be renamed using >> (in addition to the "named" method)
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+    >>> arr.sum((x.b['b0,b1'] >> 'b01', x.b['b1,b2'] >> 'b12'))
+    a\b | b01 | b12
+     a0 |   1 |   3
+     a1 |   7 |   9
+
+* implemented rationot0
+
+    >>> a = Axis('a', 'a0,a1')
+    >>> b = Axis('b', 'b0,b1,b2')
+    >>> arr = LArray([[6, 0, 2],
+    ...               [4, 0, 8]], [a, b])
+    >>> arr
+    a\b | b0 | b1 | b2
+     a0 |  6 |  0 |  2
+     a1 |  4 |  0 |  8
+    >>> arr.sum()
+    20
+    >>> arr.rationot0()
+    a\b |  b0 |  b1 |  b2
+     a0 | 0.3 | 0.0 | 0.1
+     a1 | 0.2 | 0.0 | 0.4
+    >>> arr.rationot0(x.a)
+    a\b |  b0 |  b1 |  b2
+     a0 | 0.6 | 0.0 | 0.2
+     a1 | 0.4 | 0.0 | 0.8
+
+  for reference, the normal ratio method would return:
+
+    >>> arr.ratio(x.a)
+    a\b |  b0 |  b1 |  b2
+     a0 | 0.6 | nan | 0.2
+     a1 | 0.4 | nan | 0.8
+
+
+Misc improvements
+-----------------
+
+* implemented [] on groups so that you can further subset them
+* added a new "condensed" option for ipfp's display_progress argument to get back the old behavior
+* changed how named groups are displayed (only the name is displayed)
+* positional groups gained a few features and are almost on par with label groups now
+* when iterating over an axis (for example when doing "for y in year_axis:" it yields groups (instead of raw labels) so
+  that it works even in the presence of ambiguous labels.
+* Axis.startswith, endswith, matches create groups which include the axis (so that those groups work even if the labels
+  exist on several axes)
+
+
+Bug fixes
+---------
+
+* fixed Session.summary() when arrays in the session have axes without name
+* fixed full() and full_like() with an explicit dtype (the dtype was ignored)
diff --git a/doc/source/changes/version_0_19.rst.inc b/doc/source/changes/version_0_19.rst.inc
new file mode 100644
index 000000000..bdb51bd34
--- /dev/null
+++ b/doc/source/changes/version_0_19.rst.inc
@@ -0,0 +1,166 @@
+New features
+------------
+
+* Implemented a "by" variant to all aggregate methods (e.g. sum_by, mean_by, etc.). These methods aggregate all axes
+  except those listed, which means the only axes remaining after the aggregate operation will be those listed.
+  For example: arr.sum_by(x.a) is equivalent to arr.sum(arr.axes - x.a)
+
+    >>> arr = ndtest((2, 3, 4))
+    >>> arr
+     a | b\c | c0 | c1 | c2 | c3
+    a0 |  b0 |  0 |  1 |  2 |  3
+    a0 |  b1 |  4 |  5 |  6 |  7
+    a0 |  b2 |  8 |  9 | 10 | 11
+    a1 |  b0 | 12 | 13 | 14 | 15
+    a1 |  b1 | 16 | 17 | 18 | 19
+    a1 |  b2 | 20 | 21 | 22 | 23
+    >>> arr.sum_by(x.b)
+    b | b0 | b1 |  b2
+      | 60 | 92 | 124
+
+* Added .extend() method to Axis class
+
+    >>> a = Axis('a', 'a0..a2')
+    >>> a
+    Axis('a', ['a0', 'a1', 'a2'])
+    >>> other = Axis('other', 'a3..a5')
+    >>> a.extend(other)
+    Axis('a', ['a0', 'a1', 'a2', 'a3', 'a4', 'a5'])
+
+  or directly specify the extra labels as a list or as a "label string":
+
+    >>> a.extend('a3..a5')
+    Axis('a', ['a0', 'a1', 'a2', 'a3', 'a4', 'a5'])
+
+* Added title argument to all array creation functions (ndrange, zeros, ones, ...) and display it in the .info of
+  array objects.
+
+    >>> a = ndrange(3, title='a simple test array')
+    >>> a.info
+    a simple test array
+    3
+     {0}* [3]: 0 1 2
+
+* implemented creating an Axis using a group:
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b | b0 | b1 | b2
+    a0 |  0 |  1 |  2
+    a1 |  3 |  4 |  5
+    >>> a, b = arr.axes
+    >>> zeros((a, b[:'b1']))
+    a\b |  b0 |  b1
+    a0 | 0.0 | 0.0
+    a1 | 0.0 | 0.0
+
+* made Axis.startswith, .endswith and .matches accept Group instances
+
+    >>> a = Axis('a', 'a0..b2')
+    >>> a
+    Axis('a', ['a0', 'a1', 'a2', 'b0', 'b1', 'b2'])
+
+    >>> prefix = Axis('prefix', 'a,b')
+    >>> a.startswith(prefix['a'])
+    a['a0', 'a1', 'a2']
+    >>> a.startswith(prefix.i[1])
+    a['b0', 'b1', 'b2']
+
+* implemented all usual binary operations (+, -, `*`, /, ...) on Group
+
+    >>> year = Axis('year', '2011..2016')
+    >>> year[2013] + 1
+    2014
+    >>> year.i[2] + 1
+    2014
+
+* made the viewer is much more useful as a debugger in the middle of a function by generalizing SessionEditor to handle
+  any mapping, instead of only Session objects but made it list and display only array objects. To view the value of
+  non-array variable one should type their name in the console. Given those changes, view() will superficially behave
+  as before, but behind the scene, *all* variables which were defined in the scope where view() was called will be
+  available in the viewer console, even though they will not appear in the list on the left. This means that the viewer
+  console will be able to use scalars defined at that point and call others functions of your code. In other words,
+  there are more chances you can execute some code from the function calling view() by simply copy-pasting the code
+  line.
+
+
+Backward incompatible changes
+-----------------------------
+
+* LGroup lost set-like operations (intersection and union) to the profit of a specific subclass (LSet). In other words,
+  this no longer works:
+
+    >>> letters = Axis('letters', 'a..z')
+    >>> letters[':c'] & letters['b:']
+
+  To make it work, we need to convert the LGroup(s) to LSets explicitly:
+
+    >>> letters[':c'].set() & letters['b:d'].set()
+    letters.set[OrderedSet(['b', 'c'])]
+
+    >>> letters[':c'].set() | letters['b:d'].set()
+    letters.set[OrderedSet(['a', 'b', 'c', 'd'])]
+
+    >>> letters[':c'].set() - 'b'
+    letters.set[OrderedSet(['a', 'c'])]
+
+* group aggregates produce simple string labels for the new aggregated axis instead of using the group themselves as
+  labels. This means one can no longer know where a group comes from but this simplifies the code and fixes a few
+  issues, most notably export of aggregated arrays to Excel, and some operations between two aggregated arrays.
+
+    >>> arr = ndtest((3, 4))
+    >>> arr
+    a\b | b0 | b1 | b2 | b3
+     a0 |  0 |  1 |  2 |  3
+     a1 |  4 |  5 |  6 |  7
+     a2 |  8 |  9 | 10 | 11
+    >>> agg = arr.sum(':b2 >> tob2;b2,b3 >> other')
+    >>> agg
+    a\b | tob2 | other
+     a0 |    3 |     5
+     a1 |   15 |    13
+     a2 |   27 |    21
+    >>> agg.info
+    3 x 2
+     a [3]: 'a0' 'a1' 'a2'
+     b [2]: 'tob2' 'other'
+    >>> agg.axes.b.labels[0]
+    'tob2'
+
+  In previous versions this would have returned:
+
+    >>> agg.axes.b.labels[0]
+    LGroup(':b2', name='tob2', axis=Axis('b', ['b0', 'b1', 'b2', 'b3']))
+
+* a string containing only a single "integer-like" is no longer transformed to an integer
+  e.g. "10" will evaluate to (the string) "10" (like in version 0.17 and earlier) while "10,20" will evaluate to the
+  list of integers: [10, 20]
+
+
+Other changes
+-------------
+
+* changed how Group instances are displayed.
+
+    >>> a = Axis('a', 'a0..a2')
+    >>> a['a1,a2']
+    a['a1', 'a2']
+
+
+Fixes
+-----
+
+* fixed > and >= on Group using slices
+
+* avoid a division by 0 warning when using divnot0
+
+* viewer: fixed plots when Qt5 is installed. This also removes the matplotlib warning people got when running the
+  viewer with Qt5 installed.
+
+* viewer: display array when typing its name in the console even when no array was selected previously
+
+
+Misc
+----
+
+* misc code cleanup, improved docstrings, ...
diff --git a/doc/source/changes/version_0_20.rst.inc b/doc/source/changes/version_0_20.rst.inc
index db2a7a99f..ab5f304c2 100644
--- a/doc/source/changes/version_0_20.rst.inc
+++ b/doc/source/changes/version_0_20.rst.inc
@@ -28,13 +28,15 @@ New features
 
 * added support for loading sparse arrays via open_excel().
 
-  For example, assuming you have a sheet like this:
+  For example, assuming you have a sheet like this: ::
 
     age | sex\year | 2015 | 2016
      10 |        F |  0.0 |  1.0
      10 |        M |  2.0 |  3.0
      20 |        M |  4.0 |  5.0
 
+  loading it will yield:
+
     >>> wb = open_excel('test_sparse.xlsx')
     >>> arr = wb['Sheet1'].load()
     >>> arr
diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index ea86b946c..7c0984bfb 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -6,39 +6,39 @@
 
     >>> arr = ndtest((2, 3))
     >>> arr
-    a\\b | b0 | b1 | b2
+    a\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
     >>> row = Axis('row', ['r0', 'r1'])
     >>> column = Axis('column', ['c0', 'c1', 'c2'])
 
-    Replace one axis (second argument `new_axis` must be provided)
+  Replace one axis (second argument `new_axis` must be provided)
 
     >>> arr.set_axes(x.a, row)
-    row\\b | b0 | b1 | b2
+    row\b | b0 | b1 | b2
        r0 |  0 |  1 |  2
        r1 |  3 |  4 |  5
 
-    Replace several axes (keywords, list of tuple or dictionary)
+  Replace several axes (keywords, list of tuple or dictionary)
 
     >>> arr.set_axes(a=row, b=column)
     or
     >>> arr.set_axes([(x.a, row), (x.b, column)])
     or
     >>> arr.set_axes({x.a: row, x.b: column})
-    row\\column | c0 | c1 | c2
+    row\column | c0 | c1 | c2
             r0 |  0 |  1 |  2
             r1 |  3 |  4 |  5
 
-    Replace all axes (list of axes or AxisCollection)
+  Replace all axes (list of axes or AxisCollection)
 
     >>> arr.set_axes([row, column])
-    row\\column | c0 | c1 | c2
+    row\column | c0 | c1 | c2
             r0 |  0 |  1 |  2
             r1 |  3 |  4 |  5
     >>> arr2 = ndrange([row, column])
     >>> arr.set_axes(arr2.axes)
-    row\\column | c0 | c1 | c2
+    row\column | c0 | c1 | c2
             r0 |  0 |  1 |  2
             r1 |  3 |  4 |  5
 
@@ -69,18 +69,18 @@
 
     >>> combined = ndrange('a_b = a0b0..a1b2')
     >>> combined
-        a_b | a0b0 | a0b1 | a0b2 | a1b0 | a1b1 | a1b2
-            |    0 |    1 |    2 |    3 |    4 |    5
+    a_b | a0b0 | a0b1 | a0b2 | a1b0 | a1b1 | a1b2
+        |    0 |    1 |    2 |    3 |    4 |    5
     >>> combined.split_axis(x.a_b, regex='(\w{2})(\w{2})')
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |
+    a\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
 
 * one can assign a new axis to several groups at the same time by using axis[groups]:
 
     >>> group1 = year[2001:2004]
     >>> group2 = year[2008,2009]
-    # let us change the year axis by time
+    >>> # let us change the year axis by time
     >>> x.time[group1, group2]
     (x.time[2001:2004], x.time[2008, 2009])
 
@@ -90,19 +90,20 @@
     >>> year = Axis('year', '2010..2016')
     >>> year.by(3)
     (year.i[0:3], year.i[3:6], year.i[6:7])
-    # which is equivalent to (year[2010:2012], year[2013:2015], year[2016])
 
-    like for groups, the optional second argument specifies the step between groups
+  which is equivalent to (year[2010:2012], year[2013:2015], year[2016]). Like for groups, the optional second argument
+  specifies the step between groups
 
     >>> year.by(3, step=4)
     (year.i[0:3], year.i[4:7])
-    # which is equivalent to (year[2010:2012], year[2014:2016])
 
-    and if step is smaller than length, we get overlapping groups, which can be useful for example for moving averages.
+  which is equivalent to (year[2010:2012], year[2014:2016]). And if step is smaller than length, we get overlapping
+  groups, which can be useful for example for moving averages.
 
     >>> year.by(3, 2)
     (year.i[0:3], year.i[2:5], year.i[4:7], year.i[6:7])
-    # which is equivalent to (year[2010:2012], year[2012:2014], year[2014:2016], year[2016])
+
+  which is equivalent to (year[2010:2012], year[2012:2014], year[2014:2016], year[2016])
 
 * implemented larray_nan_equal to test whether two arrays are identical even in the presence of nan values.
   Two arrays are considered identical by larray_equal if they have exactly the same axes and data. However, since a nan
@@ -112,12 +113,12 @@
     >>> arr1 = ndtest((2, 3), dtype=float)
     >>> arr1['a1', 'b1'] = nan
     >>> arr1
-    a\\b |  b0 |  b1 |  b2
+    a\b |  b0 |  b1 |  b2
      a0 | 0.0 | 1.0 | 2.0
      a1 | 3.0 | nan | 5.0
     >>> arr2 = arr1.copy()
     >>> arr2
-    a\\b |  b0 |  b1 |  b2
+    a\b |  b0 |  b1 |  b2
      a0 | 0.0 | 1.0 | 2.0
      a1 | 3.0 | nan | 5.0
     >>> larray_equal(arr1, arr2)
@@ -150,29 +151,29 @@ Miscellaneous improvements
 
     >>> a = ndrange('nat=BE,FO;sex=M,F')
     >>> a
-    nat\\sex | M | F
+    nat\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
 
-    to replace only some labels, one must give a mapping giving the new label for each label to replace
+  to replace only some labels, one must give a mapping giving the new label for each label to replace
 
     >>> a.set_labels(x.sex, {'M': 'Men'})
-    nat\\sex | Men | F
+    nat\sex | Men | F
          BE |   0 | 1
          FO |   2 | 3
 
-    to replace labels for several axes at the same time, one should give a mapping giving the new labels for each
-    changed axis
+  to replace labels for several axes at the same time, one should give a mapping giving the new labels for each changed
+  axis
 
     >>> a.set_labels({'sex': 'Men,Women', 'nat': 'Belgian,Foreigner'})
-      nat\\sex | Men | Women
+      nat\sex | Men | Women
       Belgian |   0 |     1
     Foreigner |   2 |     3
 
-    one can also replace some labels in several axes by giving a mapping of mappings
+  one can also replace some labels in several axes by giving a mapping of mappings
 
     >>> a.set_labels({'sex': {'M': 'Men'}, 'nat': {'BE': 'Belgian'}})
-    nat\\sex | Men | F
+    nat\sex | Men | F
     Belgian |   0 | 1
          FO |   2 | 3
 
@@ -190,7 +191,7 @@ Miscellaneous improvements
     # should be written as:
     >>> city[['London', 'Brussels']] >> 'capitals'
 
-    and
+  and
 
     >>> city.all()
     # should be written as:
@@ -276,13 +277,14 @@ Fixes
     years | 2010:2012 | 2013:2015
           |         3 |        12
 
-    While this used to return:
+  While this used to return:
 
+    >>> arr.sum(years.by(3))
     years | 0:3 | 3:6
           |   3 |  12
 
-* fixed Group.by() when the group was a slice with either bound unspecified. For example,
-  `years[2010:2015].by(3)` worked but `years[:].by(3)`, `years[2010:].by(3)` and `years[:2015].by(3)` did not.
+* fixed Group.by() when the group was a slice with either bound unspecified. For example, `years[2010:2015].by(3)`
+  worked but `years[:].by(3)`, `years[2010:].by(3)` and `years[:2015].by(3)` did not.
 
 * fixed a speed regression in version 0.18 and later versions compared to 0.17. In some cases, it was up to 40% slower
   than it should (closes :issue:`165`).
diff --git a/doc/source/changes/version_0_2_1.rst.inc b/doc/source/changes/version_0_2_1.rst.inc
new file mode 100644
index 000000000..2934af3b4
--- /dev/null
+++ b/doc/source/changes/version_0_2_1.rst.inc
@@ -0,0 +1,15 @@
+New features
+------------
+
+* implemented LArray.shift(axis, n=1)
+
+Miscellaneous improvements
+--------------------------
+
+* change set_labels API (axis, new_labels)
+* transform Axis.labels into a property so that _mapping is kept in sync
+
+Fixes
+-----
+
+* hopefully fix build
diff --git a/doc/source/changes/version_0_2_2.rst.inc b/doc/source/changes/version_0_2_2.rst.inc
new file mode 100644
index 000000000..2ef56714f
--- /dev/null
+++ b/doc/source/changes/version_0_2_2.rst.inc
@@ -0,0 +1,20 @@
+New features
+------------
+
+* implement AxisCollection.replace(old_axis, new_axis)
+* implement positional indexing
+
+Miscellaneous improvements
+--------------------------
+
+* more powerful AxisCollection.pop
+  added support .pop(name) or .pop(Axis object)
+
+* LArray.set_labels returns a new LArray by default
+  use inplace=True to get previous behavior
+* include ndrange and __version__ in __all__
+
+Fixes
+-----
+
+* fixed shift with n <= 0
diff --git a/doc/source/changes/version_0_2_3.rst.inc b/doc/source/changes/version_0_2_3.rst.inc
new file mode 100644
index 000000000..69889f887
--- /dev/null
+++ b/doc/source/changes/version_0_2_3.rst.inc
@@ -0,0 +1,10 @@
+New features
+------------
+
+* positional slicing via "x." syntax (x.axis.i[:5])
+
+Fixes
+-----
+
+* view(array) is usable when doing `from larray import *`
+* fixed a nasty bug for doing "group" aggregates when there is only one dimension
diff --git a/doc/source/changes/version_0_2_4.rst.inc b/doc/source/changes/version_0_2_4.rst.inc
new file mode 100644
index 000000000..b7145c37e
--- /dev/null
+++ b/doc/source/changes/version_0_2_4.rst.inc
@@ -0,0 +1,10 @@
+New features
+------------
+
+* includes an experimental (slightly inefficient) version of guess axis, so that one can write:
+
+  >>> arr[10:20]
+
+  instead of
+
+  >>> arr[age[10:20]]
diff --git a/doc/source/changes/version_0_2_5.rst.inc b/doc/source/changes/version_0_2_5.rst.inc
new file mode 100644
index 000000000..fea2245e5
--- /dev/null
+++ b/doc/source/changes/version_0_2_5.rst.inc
@@ -0,0 +1,10 @@
+Miscellaneous improvements
+--------------------------
+
+* many methods got (improved) docstrings (Thanks to Johan).
+
+
+Fixes
+-----
+
+* fixed mixing keys without axis (e.g. arr[10:15]) with key with axes (e.g. arr[x.age[10:15]]).
diff --git a/doc/source/changes/version_0_2_6.rst.inc b/doc/source/changes/version_0_2_6.rst.inc
new file mode 100644
index 000000000..eea2c0b5b
--- /dev/null
+++ b/doc/source/changes/version_0_2_6.rst.inc
@@ -0,0 +1,5 @@
+Fixes
+-----
+
+* fixed LArray.cumsum and cumprod.
+* fixed all doctests just enough so that they run.
diff --git a/doc/source/changes/version_0_3.rst.inc b/doc/source/changes/version_0_3.rst.inc
new file mode 100644
index 000000000..2a16ac402
--- /dev/null
+++ b/doc/source/changes/version_0_3.rst.inc
@@ -0,0 +1,38 @@
+New features
+------------
+
+* implemented LArray.with_total(): appends axes or group aggregates to the array.
+
+  Without argument, it adds totals on all axes. It has optional keyword only arguments:
+
+    * *label*: specify the label ("total" by default)
+    * *op*: specify the aggregate function (sum by default, all other aggregates should work too)
+
+  With multiple arguments, it adds totals sequentially. There are some tricky cases. For example when, for the same
+  axis, you add group aggregates and axis aggregates:
+
+    >>> # works but "wrong" for x.geo (double what is expected because the total also
+    >>> # includes fla wal & bru)
+    >>> la.with_total(x.sex, (fla, wal, bru), x.geo, x.lipro)
+
+    >>> # correct total but the order is not very nice
+    >>> la.with_total(x.sex, x.geo, (fla, wal, bru), x.lipro)
+
+    >>> # the correct way to do it, but it is probably not entirely obvious
+    >>> la.with_total(x.sex, (fla, wal, bru, x.geo.all()), x.lipro)
+
+    >>> # we probably want to display a warning (or even an error?) in that case.
+    >>> # If the user really wants that behavior, he can split the operation:
+    >>> # .with_total((fla, wal, bru)).with_total(x.geo)
+
+* implemented group aggregates without using keyword arguments. As a consequence of this, one can no longer use axis
+  numbers in aggregates. Eg. `a.sum(0)` does not sum on the first axis anymore (but you can do `a.sum(a.axes[0])` if
+  needed)
+
+* implemented LArray.percent: equivalent to ratio * 100
+
+* implemented Session.filter -> returns a new Session with only objects matching the filter
+
+* implemented Session.dump -> dumps all LArray in the Session to a file
+
+* implemented Session.load -> load several LArrays from a file to a Session
diff --git a/doc/source/changes/version_0_4.rst.inc b/doc/source/changes/version_0_4.rst.inc
new file mode 100644
index 000000000..55f8a7c27
--- /dev/null
+++ b/doc/source/changes/version_0_4.rst.inc
@@ -0,0 +1,20 @@
+New features
+------------
+
+* implemented LArray.expand to add dimensions
+* implemented prepend
+* implemented sort_axis
+* allow creating 0d (scalar) LArrays
+
+Miscellaneous improvements
+--------------------------
+
+* made extend expand its arguments
+* made .append expand its value before appending
+* changed read_* to not sort data by default
+* more minor stuff :)
+
+Fixes
+-----
+
+* fixed loading 1d arrays
diff --git a/doc/source/changes/version_0_5.rst.inc b/doc/source/changes/version_0_5.rst.inc
new file mode 100644
index 000000000..b45ab3c6c
--- /dev/null
+++ b/doc/source/changes/version_0_5.rst.inc
@@ -0,0 +1,52 @@
+New features
+------------
+
+* experimental support for indexing an LArray by another (integer) LArray
+
+    >>> array[other_array]
+
+* experimental support for LArray.drop_labels and the concept of wildcard axes
+
+* added LArray.display_name and AxisCollection.display_names which add '*' next to wildcard axes
+
+* implemented where(cond, array1, array2)
+
+* implemented LArray.__iter__ so that this works:
+
+    >>> for value in array:
+    ...     <some code>
+
+* implement keepaxes=label or keepaxes=True for aggregate functions on full axes
+   
+    array.sum(x.age, keepaxes='total')
+
+* AxisCollection.replace can replace several axes in one call
+
+* implemented .expand(out=) to expand into an existing array
+
+
+Miscellaneous improvements
+--------------------------
+
+* removed Axis.sorted()
+
+* removed LArray.axes_names & axes_labels. One should use .axes.names & .axes.labels instead.
+
+* raise an error when trying to convert an array with more than one value to a Boolean. For example, this will fail:
+
+    >>> arr = ndrange([sex])
+    >>> if arr:
+    ...     <some code>
+
+* convert value to self.dtype in append/prepend
+
+* faster .extend, .append, .prepend and .expand
+
+* some code cleanup, better tests, …
+
+
+Fixes
+-----
+
+* fixed .extend when other has longer axes than self
+
diff --git a/doc/source/changes/version_0_6.rst.inc b/doc/source/changes/version_0_6.rst.inc
new file mode 100644
index 000000000..70d1ede9e
--- /dev/null
+++ b/doc/source/changes/version_0_6.rst.inc
@@ -0,0 +1,58 @@
+New features
+------------
+
+* a[bool_array_key] broadcasts missing/differently ordered dimensions and returns an LArray with combined axes
+
+* a[bool_array_key] = value broadcasts missing/differently ordered dimensions on both key and value
+
+* implemented argmin, argmax, argsort, posargmin, posargmax, posargsort.
+   they do indirect operation along an axis. E.g. argmin gives the label of the minimum value, argsort gives the labels
+   which would sort the array along that dimension.
+   posargXXX gives the position/indexes instead of the labels.
+
+* implemented Axis.__iter__ so that one can write:
+
+    >>> for label in an_array.axes.an_axis:
+    ...     <some code>
+
+  instead of
+
+    >>> for label in an_array.axes.an_axis.labels:
+    ...     <some code>
+
+* implemented the .info property on AxisCollection
+
+* implement all/any top level functions, so that you can use them in with_total.
+
+
+Miscellaneous improvements
+--------------------------
+
+* renamed ValueGroup to LabelGroup. We might want to rename it to LGroup to be consistent with LArray?
+
+* allow a single int as argument to LArray creation functions (ndrange et al.)
+
+   e.g. `ndrange(10)` is now allowed instead of `ndrange([10])`
+
+* use display_name in .info (ie add * next to wildcard axes in .info).
+
+* allow specifying a custom window title in view()
+
+* viewer displays booleans as True/False instead of 1/0
+
+* slightly better support for axes with no name (None). There is still a long way to go for full support though.
+
+* improved a few docstrings
+
+* nicer errors when tests results are different from expected
+
+* removed debug prints from viewer
+
+* misc cleanups
+
+Fixes
+-----
+
+* fixed view() on all-negative arrays
+
+* fixed view() on string arrays
diff --git a/doc/source/changes/version_0_6_1.rst.inc b/doc/source/changes/version_0_6_1.rst.inc
new file mode 100644
index 000000000..495141132
--- /dev/null
+++ b/doc/source/changes/version_0_6_1.rst.inc
@@ -0,0 +1,39 @@
+New features
+------------
+
+* added dtype argument to all array creation functions to override default data type
+
+* aggregates can take an explicit "axis" keyword argument which can be used to target an axis by index
+
+    >>> arr.sum(axis=0)
+
+* implemented LGroup.__getitem__ & LGroup.__iter__, so that for list-based groups (ie not slices) you can write:
+
+    >>> for v in my_group:
+    ...     # some code
+
+  or
+
+    >>> my_group[0]
+
+
+Miscellaneous improvements
+--------------------------
+
+* renamed LabelGroup to LGroup and PositionalKey to PGroup. We might want to rename the later to IGroup (to be
+  consistent with axis.i[...]).
+
+* slightly better support for axes without name
+* better docstrings for a few functions
+* misc cleanup
+
+
+Fixes
+-----
+
+* fixed XXX_like(a) functions to use the same dtype than a instead of always float
+* fixed to_XXX with 1d arrays (e.g. to_clipboard())
+* fixed all() and any() toplevel functions without argument
+* fixed LArray without axes in some cases
+* fixed array creation functions with only shapes on python2
+
diff --git a/doc/source/changes/version_0_7.rst.inc b/doc/source/changes/version_0_7.rst.inc
new file mode 100644
index 000000000..e83de3758
--- /dev/null
+++ b/doc/source/changes/version_0_7.rst.inc
@@ -0,0 +1,64 @@
+Viewer
+------
+
+* implemented view() on Session objects
+* added axes length in window title and add axes info even if title is provided manually (concatenate both)
+* ndecimals are recomputed when toggling the scientific checkbox
+* allow viewing (some) non-ndarray stuff (e.g. python lists)
+* refactored viewer code so that the filter drop downs can be reused too
+* Known regression: the viewer is slow on large arrays (this will be fixed in a later release, obviously)
+
+
+Session
+-------
+
+* implemented local_arrays() to return all LArray in locals() as a Session
+* implemented Session.__getitem__(int_position)
+* implement Session(filename) to directly load all arrays from a file. Equivalent to:
+
+    >>> s = Session()
+    >>> s.load(filename)
+
+* implemented Session.__eq__, so that you can compare two sessions and see if all arrays are equal.
+  Suppose you want to refactor your code and make sure you get the same results.
+    
+    >>> # put results in a Session
+    >>> res = Session({'array1': array1, 'array2': array2})
+    >>> # before refactoring
+    >>> res.dump('results.h5')
+    >>> # after refactoring
+    >>> assert Session('results.h5') == res
+
+* you can load all sheets/arrays of a file (if you do not specify which ones you want, it takes all)
+* loading several sheets from an excel file is now MUCH faster because the same file is kept open (apparently xlrd
+  parses the whole file each time we open it).
+* you can specify a subset of arrays to dump
+* implemented rudimentary session I/O for .csv files, usage is a bit different from .h5 & excel files
+
+    >>> # need to specify format manually
+    >>> s.dump('directory_name', fmt='csv')
+    >>> # need to specify format manually
+    >>> s = Session()
+    >>> s.load('directory_name', fmt='csv')
+
+* pass `*args` and `**kwargs` to lower level functions in Session.load
+* fail when trying to read an inexistant H5 file through Session, instead of creating it
+
+
+Other new features
+------------------
+
+* added start argument in ndrange to specify starting value
+* implemented Axis._rename. Not sure it's a good idea though…
+* implemented identity function which takes an Axis and returns an LArray with the axis labels as values
+* implemented size property on AxisCollection
+* allow a single int in AxisCollection.without
+
+Fixes
+-----
+
+* fixed broadcast_with when other_axes contains 0-len axes
+* fixed a[bool_array] = value when the first axis of a is not in bool_array
+* fixed view() on arrays with unnamed axes
+* fixed view() on arrays of Python objects
+* various other small bugs fixed
diff --git a/doc/source/changes/version_0_7_1.rst.inc b/doc/source/changes/version_0_7_1.rst.inc
new file mode 100644
index 000000000..91e40a9b6
--- /dev/null
+++ b/doc/source/changes/version_0_7_1.rst.inc
@@ -0,0 +1,39 @@
+Viewer
+------
+
+* implemented paste (ctrl-V) 
+
+* implemented experimental array comparator:
+
+    >>> compare(array1, array2)
+
+  Known limitation: the arrays must have exactly the same axes and the background color is buggy when using filters
+
+* when no title is specified in view(), it is determined automatically by inspecting the local variables of the function
+  where view() is called and using the names of the ones matching the object passed. If several matches, up to 3 are
+  displayed.
+
+* added axes names to copy (ctrl-C)
+
+* fixed copy (ctrl-C) of 0d array
+
+Input/Output
+------------
+
+* added 'dialect' argument to to_csv. For example, dialect='classic' does not include the last (horizontal) axis name.
+
+* fixed loading .csv files without \ (ie 'classic' .csv files), though one needs to specify nb_index in that case if
+  ndim > 2
+
+* strip spaces around axes names so that you can use "axis0<space>\<space>axis1" instead of "axis0\axis1" in .csv files
+
+* fixed 1d arrays I/O
+
+* more precise parsing of input headers: 1 and 0 come out as int, not bool
+
+Misc
+----
+
+* nicer error message when using an invalid axes names
+
+* changed LArray .df property to a to_frame() method so that we can pass options to it
diff --git a/doc/source/changes/version_0_8.rst.inc b/doc/source/changes/version_0_8.rst.inc
new file mode 100644
index 000000000..9c5fb2d1c
--- /dev/null
+++ b/doc/source/changes/version_0_8.rst.inc
@@ -0,0 +1,35 @@
+Core
+----
+
+* implemented skipna argument for most aggregate functions. defaults to True.
+* implemented LArray.sort_values(key)
+* implemented percentile and median
+* added isnan and isinf toplevel functions
+* made axis argument optional for argsort & posargsort on 1D arrays
+
+* fixed a[key] = value when key corresponds to a single cell of the array
+* fixed keepaxes argument for aggregate functions
+* fixed a[int_array] (when the axis needs to be guessed)
+* fixed empty_like
+* fixed aggregates on several axes given as integers e.g. arr.sum(axis=(0, 2))
+* fixed "kind" argument in posargsort
+
+Viewer
+------
+
+* added title argument to edit() (set automatically if not provided, like for view())
+* fixed edit() on filtered arrays
+* fixed view(expression).
+  anything which was not stored in a variable was broken in 0.7.1
+* reset background color when setting values if necessary (still buggy in some cases, but much less so ;-))
+* background color for headers is always on
+* view() => array cells are not editable, instead of being editable and ignoring entered values
+* fixed compare() colors when arrays are entirely equal
+* fixed error message for compare() when PyQt is not available
+
+Misc
+----
+
+* bump numpy requirement to 1.10, implicitly dropping support for python 3.3
+* renamed view module to editor to not collide with view function
+* improved/added a few tests
diff --git a/doc/source/changes/version_0_8_1.rst.inc b/doc/source/changes/version_0_8_1.rst.inc
new file mode 100644
index 000000000..2f98c4169
--- /dev/null
+++ b/doc/source/changes/version_0_8_1.rst.inc
@@ -0,0 +1,25 @@
+Viewer
+------
+
+* implemented min/maxvalue arguments for edit()
+* do not close the window when pressing Enter
+* allow to start editing cells by pressing Enter
+* fixed copy of changed cells (copy the changed value)
+* fixed pasted values to not be accepted directly (they go to "changes" like for manual edits)
+* fixed color updates on paste
+* disabled experimental tooltips on headers
+* better error message when entering invalid values
+
+Core
+----
+
+* implemented indexing by position on several dimensions at once (like numpy)
+
+    >>> # takes the first item in the first and third dimensions, leave the second dimension intact
+    >>> arr.i[0, :,  0]
+    <some result>
+    >>> # sets all the cells corresponding to the first item in the first dimension and the second item in the fourth
+    >>> # dimension
+    >>> arr.i[0, :,  :, 1] = 42
+
+* added optional 'readonly' argument to expand() to produce a readonly view (much faster since no copying is done)
diff --git a/doc/source/changes/version_0_9.rst.inc b/doc/source/changes/version_0_9.rst.inc
new file mode 100644
index 000000000..fb89833e2
--- /dev/null
+++ b/doc/source/changes/version_0_9.rst.inc
@@ -0,0 +1,22 @@
+A minor but backward incompatible version (hence the bump in version number)!
+
+Core
+----
+
+* fixed int_array.mean() to return floats instead of int (regression in 0.8)
+* larray_equal returns False when either value is not an LArray, instead of raising an exception
+
+Session
+-------
+
+* changed `Session == Session` to return an array of booleans instead of a single boolean, so that we know which
+  array(s) differ. Code like `session1 == session2`, should be changed to `all(session1 == session2)`.
+* implemented Session != Session
+* implemented Session.get(k, default) (returns default if k does not exist in Session)
+* implemented len() for Session objects to know how many objects are in the Session
+
+Viewer
+------
+
+* fixed view() (regression in 0.8.1)
+* fixed edit() to actually apply changes on "OK"/accept_changes even when no filter change occurred after the last edit.
diff --git a/doc/source/changes/version_0_9_1.rst.inc b/doc/source/changes/version_0_9_1.rst.inc
new file mode 100644
index 000000000..4927ff3a1
--- /dev/null
+++ b/doc/source/changes/version_0_9_1.rst.inc
@@ -0,0 +1,31 @@
+Core
+----
+
+* better .info for arrays with groups in axes
+
+    >>> # example using groups without a name
+    >>> reg = la.sum((fla, wal, bru, belgium))
+    >>> reg.info
+    4 x 15
+     geo [4]: ['A11' ... 'A73'] ['A25' ... 'A93'] 'A21' ['A11' ... 'A21']
+     lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'
+
+    >>> # example using groups with a name
+    >>> fla = geo.group(fla_str, name='Flanders')
+    >>> wal = geo.group(wal_str, name='Wallonia')
+    >>> bru = geo.group(bru_str, name='Brussels')
+    >>> reg = la.sum((fla, wal, bru))
+    >>> reg.info
+    3 x 15
+     geo [3]: 'Flanders' (['A11' ... 'A73']) 'Wallonia' (['A25' ... 'A93']) 'Brussels' ('A21')
+     lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'
+
+
+Editor
+------
+
+* fixed edit() with non-string labels in axes
+* fixed edit() with filters in some more cases
+* fixed ArrayEditorWidget.reject_changes and accept_changes to update the model & view accordingly (in case the widget
+  is kept open)
+* avoid (harmless) error messages in some cases
diff --git a/doc/source/changes/version_0_9_2.rst.inc b/doc/source/changes/version_0_9_2.rst.inc
new file mode 100644
index 000000000..7049a6624
--- /dev/null
+++ b/doc/source/changes/version_0_9_2.rst.inc
@@ -0,0 +1,9 @@
+Core
+----
+
+* much better support for unnamed axes overall. Still a long way to go for full support, but it's getting there…
+
+Editor
+------
+
+* fixed edit() for arrays with the same labels on several axes
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 3070a6088..3632cc850 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -118,12 +118,13 @@
 # If true, keep warnings as "system message" paragraphs in the built documents.
 #keep_warnings = False
 
+# highlight_language = "python3"
 
 # -- Options for HTML output ----------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-html_theme = 'default'
+html_theme = 'classic'
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
diff --git a/larray/core.py b/larray/core.py
index 84624d281..2486e59dc 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1381,8 +1381,8 @@ def __getitem__(self, key):
         -----
         key is label-based (slice and fancy indexing are supported)
         """
-        if isinstance(key, basestring):
-            key = to_keys(key)
+        # if isinstance(key, basestring):
+        #     key = to_keys(key)
 
         def isscalar(k):
             return np.isscalar(k) or (isinstance(k, Group) and np.isscalar(k.key))
@@ -4000,6 +4000,7 @@ def _doc_agg_method(desc, by=False, action="perform",
             * a variable (Axis). If the axis has been defined previously
               and assigned to a variable, you can pass it as argument.
 
+
             You may not want to {2} the {3} over a whole axis but
             over a selection of specific labels. To do so, you have several
             possibilities:
@@ -4021,6 +4022,7 @@ def _doc_agg_method(desc, by=False, action="perform",
 
         \**kwargs :
         {4}
+
         """.format("".join(_arg_agg[arg] for arg in extra_args),
                    str_doc, action, desc,
                    "".join(_kwarg_agg[kw] for kw in kwargs))
@@ -4229,6 +4231,13 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         """
+        # TODO: most of this logic should be moved to AxisCollection.replace and the code here should boil down to:
+        # new_axes = self.axes.replace(axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
+        # if inplace:
+        #     self.axes = new_axes
+        #     return self
+        # else:
+        #     return LArray(self.data, new_axes, title=self.title)
         if isinstance(axes_to_replace, (list, AxisCollection)) and \
                 all([isinstance(axis, Axis) for axis in axes_to_replace]):
             if len(axes_to_replace) != len(self.axes):
@@ -4568,7 +4577,7 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         else:
             return LArray(self.data, axes)
 
-    def sort_values(self, key):
+    def sort_values(self, key, reverse=False):
         """Sorts values of the array.
 
         Parameters
@@ -4596,6 +4605,10 @@ def sort_values(self, key):
         sex\\nat | BE | EU | FO
               M |  4 | 10 |  2
               F |  1 |  3 |  7
+        >>> a.sort_values('F', reverse=True)
+        sex\\nat | FO | EU | BE
+              M |  2 | 10 |  4
+              F |  7 |  3 |  1
         >>> b = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
         ...            [sex, xtype, nat])
         >>> b
@@ -4632,7 +4645,8 @@ def sort_values(self, key):
         # "not reordering labels" behavior that I have now?
         # FWIW, using .data, I get PGroup([1, 2, 0], axis='nat'), which works.
         sorter = axis.i[posargsort.data]
-        return self[sorter]
+        res = self[sorter]
+        return res[axis[::-1]] if reverse else res
 
     # XXX: rename to sort_axes?
     def sort_axis(self, axes=None, reverse=False):
@@ -8885,6 +8899,28 @@ def __array__(self, dtype=None):
 
     __array_priority__ = 100
 
+    # XXX: implement guess axis?
+    """
+    # guessing each axis
+    >>> a.set_labels({'M': 'Men', 'BE': 'Belgian'})
+    nat\\sex | Men | Women
+    BE | 0 | 1
+    FO | 2 | 3
+
+    # we have to choose which one to support because it is probably not a good idea to simultaneously support the
+    # following syntax (even though we *could* support both if we split values on , before we determine if
+    # the key is an axis or a label by looking if the value is a list or a single string.
+    >>> a.set_labels({'sex': 'Men,Women', 'BE': 'Belgian'})
+    nat\\sex | Men | Women
+    BE | 0 | 1
+    FO | 2 | 3
+    # this is shorter but I do not like it because string are both quoted and not quoted and you cannot have int
+    # labels
+    >>> a.set_labels(M='Men', BE='Belgian')
+    nat\\sex | Men | Women
+    BE | 0 | 1
+    FO | 2 | 3
+    """
     def set_labels(self, axis, labels=None, inplace=False):
         """Replaces the labels of an axis of array.
 
@@ -10565,6 +10601,76 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 # stack(a1, a2, axis=Axis('sex', 'M,F'))
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
+
+# XXX: sloppy syntax (BEURK) -- in that case, users would be *required* to provide labels.
+# stack('M', 1, 'F', 2, axis='sex')
+# stack('M', a1, 'F', a2, axis='sex')
+
+# on Python 3.6, we could do something like (it would make from_lists obsolete for 1D arrays):
+# stack('sex', M=1, F=2)
+
+# which is almost equivalent to:
+
+# stack(M=1, F=2, axis='sex')
+# stack([('M', 1), ('F', 2)], axis='sex')
+# stack({'M': 1, 'F': 2}, sex)  # only support this when a real axis object is given (until keeping dict order is
+#                               # mandatory and not an implementation detail)
+
+# but we cannot support the current syntax unmodified AND the first version, but second version we could.
+
+# we would only have to explain that they cannot do:
+# stack(0=1, 1=2, axis='age')
+# stack(0A=1, 1B=2, axis='code')
+
+# but should use this instead:
+
+# stack([(0, 1), (1, 2)], axis='age')
+# stack([('0A', 1), ('1B', 2)], axis='code')
+
+# or
+
+# stack({0: 1, 1: 2}, 'age=0,1')
+# stack({'0A': 1, '1B': 2}, 'code=0A,1B')
+
+# stack({0: 1, 1: 2}, age)
+# stack({'0A': 1, '1B': 2}, code)
+
+# or this, if we decide to support *args instead:
+
+# stack((0, 1), (1, 2), axis='age')
+# stack(('0A', 1), ('1B', 2), axis='code')
+
+# stack(M=1, F=2, axis='sex')
+
+# is much nicer than:
+
+# from_lists(['sex', 'M', 'F'],
+#            [   '',   1,   2])
+
+# for 2D arrays, from_lists and stack would be mostly as ugly and for 3D+ from_lists stays nicer even though I still do
+# not like it much.
+
+# stack('nationality',
+#       BE=stack('sex', M=0, F=1),
+#       FR=stack('sex', M=2, F=3),
+#       DE=stack('sex', M=4, F=5))
+#
+# from_lists([['nationality\\sex', 'M', 'F'],
+#             [              'BE',   0,   1],
+#             [              'FR',   2,   3],
+#             [              'DE',   4,   5]])
+
+# SUPER SLOPPY (I hate this, but I bet users would like it):
+
+# stack(BE_M=0, BE_F=1,
+#       FR_M=2, FR_F=3,
+#       DE_M=4, DE_F=5, axis='nationality_sex')
+
+# stack(('nationality', 'sex'), {
+#       ('BE', 'M'): 0, ('BE', 'F'): 1,
+#       ('FR', 'M'): 2, ('FR', 'F'): 3,
+#       ('DE', 'M'): 4, ('DE', 'F'): 5})
+
 def stack(arrays, axis=None, title=''):
     """
     Combines several arrays along an axis.

From 4ac9a6fc92f08ff44197a269686b3d9f76ec62af Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Mar 2017 21:40:03 +0200
Subject: [PATCH 439/899] update make.bat to version generated by a recent
 sphinx

this fixes a few issues
---
 doc/make.bat | 226 +++------------------------------------------------
 1 file changed, 10 insertions(+), 216 deletions(-)

diff --git a/doc/make.bat b/doc/make.bat
index b468ba1a9..182d20201 100644
--- a/doc/make.bat
+++ b/doc/make.bat
@@ -1,53 +1,19 @@
 @ECHO OFF
 
+pushd %~dp0
+
 REM Command file for Sphinx documentation
 
 if "%SPHINXBUILD%" == "" (
 	set SPHINXBUILD=sphinx-build
 )
+set SOURCEDIR=source
 set BUILDDIR=build
-set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% source
-set I18NSPHINXOPTS=%SPHINXOPTS% source
-if NOT "%PAPER%" == "" (
-	set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS%
-	set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS%
-)
+set SPHINXPROJ=larray
 
 if "%1" == "" goto help
 
-if "%1" == "help" (
-	:help
-	echo.Please use `make ^<target^>` where ^<target^> is one of
-	echo.  html       to make standalone HTML files
-	echo.  dirhtml    to make HTML files named index.html in directories
-	echo.  singlehtml to make a single large HTML file
-	echo.  pickle     to make pickle files
-	echo.  json       to make JSON files
-	echo.  htmlhelp   to make HTML files and a HTML help project
-	echo.  qthelp     to make HTML files and a qthelp project
-	echo.  devhelp    to make HTML files and a Devhelp project
-	echo.  epub       to make an epub
-	echo.  latex      to make LaTeX files, you can set PAPER=a4 or PAPER=letter
-	echo.  text       to make text files
-	echo.  man        to make manual pages
-	echo.  texinfo    to make Texinfo files
-	echo.  gettext    to make PO message catalogs
-	echo.  changes    to make an overview over all changed/added/deprecated items
-	echo.  xml        to make Docutils-native XML files
-	echo.  pseudoxml  to make pseudoxml-XML files for display purposes
-	echo.  linkcheck  to check all external links for integrity
-	echo.  doctest    to run all doctests embedded in the documentation if enabled
-	goto end
-)
-
-if "%1" == "clean" (
-	for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i
-	del /q /s %BUILDDIR%\*
-	goto end
-)
-
-
-%SPHINXBUILD% 2> nul
+%SPHINXBUILD% >NUL 2>NUL
 if errorlevel 9009 (
 	echo.
 	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
@@ -60,183 +26,11 @@ if errorlevel 9009 (
 	exit /b 1
 )
 
-if "%1" == "html" (
-	%SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/html.
-	goto end
-)
-
-if "%1" == "dirhtml" (
-	%SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml.
-	goto end
-)
-
-if "%1" == "singlehtml" (
-	%SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml.
-	goto end
-)
-
-if "%1" == "pickle" (
-	%SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the pickle files.
-	goto end
-)
-
-if "%1" == "json" (
-	%SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can process the JSON files.
-	goto end
-)
-
-if "%1" == "htmlhelp" (
-	%SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run HTML Help Workshop with the ^
-.hhp project file in %BUILDDIR%/htmlhelp.
-	goto end
-)
-
-if "%1" == "qthelp" (
-	%SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; now you can run "qcollectiongenerator" with the ^
-.qhcp project file in %BUILDDIR%/qthelp, like this:
-	echo.^> qcollectiongenerator %BUILDDIR%\qthelp\LArray.qhcp
-	echo.To view the help file:
-	echo.^> assistant -collectionFile %BUILDDIR%\qthelp\LArray.ghc
-	goto end
-)
-
-if "%1" == "devhelp" (
-	%SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished.
-	goto end
-)
-
-if "%1" == "epub" (
-	%SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The epub file is in %BUILDDIR%/epub.
-	goto end
-)
-
-if "%1" == "latex" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished; the LaTeX files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdf" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf
-	cd %BUILDDIR%/..
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "latexpdfja" (
-	%SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex
-	cd %BUILDDIR%/latex
-	make all-pdf-ja
-	cd %BUILDDIR%/..
-	echo.
-	echo.Build finished; the PDF files are in %BUILDDIR%/latex.
-	goto end
-)
-
-if "%1" == "text" (
-	%SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The text files are in %BUILDDIR%/text.
-	goto end
-)
-
-if "%1" == "man" (
-	%SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The manual pages are in %BUILDDIR%/man.
-	goto end
-)
-
-if "%1" == "texinfo" (
-	%SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo.
-	goto end
-)
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
+goto end
 
-if "%1" == "gettext" (
-	%SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The message catalogs are in %BUILDDIR%/locale.
-	goto end
-)
-
-if "%1" == "changes" (
-	%SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.The overview file is in %BUILDDIR%/changes.
-	goto end
-)
-
-if "%1" == "linkcheck" (
-	%SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Link check complete; look for any errors in the above output ^
-or in %BUILDDIR%/linkcheck/output.txt.
-	goto end
-)
-
-if "%1" == "doctest" (
-	%SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Testing of doctests in the sources finished, look at the ^
-results in %BUILDDIR%/doctest/output.txt.
-	goto end
-)
-
-if "%1" == "xml" (
-	%SPHINXBUILD% -b xml %ALLSPHINXOPTS% %BUILDDIR%/xml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The XML files are in %BUILDDIR%/xml.
-	goto end
-)
-
-if "%1" == "pseudoxml" (
-	%SPHINXBUILD% -b pseudoxml %ALLSPHINXOPTS% %BUILDDIR%/pseudoxml
-	if errorlevel 1 exit /b 1
-	echo.
-	echo.Build finished. The pseudo-XML files are in %BUILDDIR%/pseudoxml.
-	goto end
-)
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS%
 
 :end
+popd

From 81238d4475de6394af673acafbea2ebe449a5d0a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Mar 2017 09:22:06 +0200
Subject: [PATCH 440/899] precision in changelog

---
 doc/source/changes/version_0_21.rst.inc | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_21.rst.inc b/doc/source/changes/version_0_21.rst.inc
index 7c0984bfb..7317b9b34 100644
--- a/doc/source/changes/version_0_21.rst.inc
+++ b/doc/source/changes/version_0_21.rst.inc
@@ -143,8 +143,9 @@ Miscellaneous improvements
     >>> arr = ndtest((3, 3))
     >>> arr.plot()
 
-* viewer: when calling view(an_array), the new window opened does not block the initial window, which means you can
-  have several windows open at the same time. view() without argument can still result in odd behavior though.
+* viewer: when calling view(an_array) from within the viewer, the new window opened does not block the initial window,
+  which means you can have several windows open at the same time. view() without argument can still result in odd
+  behavior though.
 
 * improved LArray.set_labels to make it possible to replace only some labels of an axis, instead of all of them
   and to replace labels from several axes at the same time.

From f463741a2d52135b1dab5e56098358be8ad209f7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Mar 2017 10:32:26 +0200
Subject: [PATCH 441/899] use read the docs theme explicitly

---
 doc/source/conf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 3632cc850..39886d755 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -124,7 +124,7 @@
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-html_theme = 'classic'
+html_theme = "sphinx_rtd_theme"
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the

From 819bc2fc454c83c684cc8660cd8495f0904a42a7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Mar 2017 12:22:00 +0200
Subject: [PATCH 442/899] fix setup.py classifiers

---
 setup.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/setup.py b/setup.py
index 6c6fba809..cf8dadfbd 100644
--- a/setup.py
+++ b/setup.py
@@ -23,8 +23,8 @@ def readlocal(fname):
 URL = 'https://github.com/liam2/larray'
 
 CLASSIFIERS = [
-    'Development Status :: 4 - Beta'
-    'License :: OSI Approved :: GNU General Public License v3 (GPLv3)'
+    'Development Status :: 4 - Beta',
+    'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
     'Operating System :: OS Independent',
     'Intended Audience :: Science/Research',
     'Intended Audience :: Developers',

From 882463493d020235c730c9b259ff19277eec3af8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Mar 2017 12:49:07 +0200
Subject: [PATCH 443/899] added .bat file to send a new version to pypi

---
 pypi.bat | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 pypi.bat

diff --git a/pypi.bat b/pypi.bat
new file mode 100644
index 000000000..6dc8b3356
--- /dev/null
+++ b/pypi.bat
@@ -0,0 +1 @@
+python setup.py register sdist bdist_wheel --universal upload -r pypi
\ No newline at end of file

From 23e275ea5c22658884c19833e9aad411797d24d6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Mar 2017 16:37:13 +0200
Subject: [PATCH 444/899] added documentation badge to README (closes #175)

---
 README.rst | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/README.rst b/README.rst
index 71491e39b..56677a6e2 100644
--- a/README.rst
+++ b/README.rst
@@ -3,8 +3,7 @@ LArray
 
 larray provides a Labelled Array class
 
-.. image:: https://travis-ci.org/liam2/larray.svg?branch=master
-    :target: https://travis-ci.org/liam2/larray
+|build-status| |docs|
 
 
 .. start-install
@@ -121,3 +120,13 @@ you simply must do ::
 
     conda update larrayenv
 
+
+.. |build-status| image:: https://travis-ci.org/liam2/larray.svg?branch=master
+    :alt: build status
+    :scale: 100%
+    :target: https://travis-ci.org/liam2/larray
+
+.. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=latest
+    :alt: Documentation Status
+    :scale: 100%
+    :target: https://larray.readthedocs.io/en/latest/?badge=latest

From 395d6c95f69752fa8c706828344ee7ec9f321b7f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 30 Mar 2017 10:24:36 +0200
Subject: [PATCH 445/899] bump version to 0.22

---
 condarecipe/larray/meta.yaml            |  4 ++--
 doc/source/changes/version_0_22.rst.inc | 18 ++++++++++++++++++
 doc/source/conf.py                      |  4 ++--
 larray/core.py                          |  2 +-
 setup.py                                |  2 +-
 5 files changed, 24 insertions(+), 6 deletions(-)
 create mode 100644 doc/source/changes/version_0_22.rst.inc

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index bc6f7c50b..9488b40e1 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.21
+  version: 0.22
 
 source:
-  git_tag: 0.21
+  git_tag: 0.22
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 39886d755..ea3ad51b8 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -76,9 +76,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.21'
+version = '0.22'
 # The full version, including alpha/beta/rc tags.
-release = '0.21'
+release = '0.22'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/core.py b/larray/core.py
index 2486e59dc..756bc16bf 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1,7 +1,7 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.21"
+__version__ = "0.22"
 
 __all__ = [
     'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
diff --git a/setup.py b/setup.py
index cf8dadfbd..fd7c3e980 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.21'
+VERSION = '0.22'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 4495dc0e37cbd477dc4826af6eef5a737f4a986d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 30 Mar 2017 11:06:39 +0200
Subject: [PATCH 446/899] implemented stack({label1: value1},
 "axis_name=label1,label2")

---
 doc/source/changes/version_0_22.rst.inc | 46 ++++++++++++++-
 larray/core.py                          | 75 ++++++++++++-------------
 larray/tests/test_la.py                 | 17 +++++-
 3 files changed, 96 insertions(+), 42 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 40d5a3454..7ab7ebc4d 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -1,9 +1,49 @@
 New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+* implemented a new syntax for stack(): `stack({label1: value1, label2: value2}, axis)`
 
-* added another feature.
+    >>> nat = Axis('nat', 'BE, FO')
+    >>> sex = Axis('sex', 'M, F')
+    >>> males = ones(nat)
+    >>> males
+    nat |  BE |  FO
+        | 1.0 | 1.0
+    >>> females = zeros(nat)
+    >>> females
+    nat |  BE |  FO
+        | 0.0 | 0.0
+
+  In the case the axis has already been defined in a variable, this gives:
+
+    >>> stack({'M': males, 'F': females}, sex)
+    nat\\sex |   M |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+  Additionally, axis can now be an axis string definition in addition to an Axis object, which means one can write this:
+
+    >>> stack({'M': males, 'F': females}, 'sex=M,F')
+
+  It is better than the simpler but *highly discouraged* alternative:
+
+    >>> stack([males, females), sex)
+
+  because it is all too easy to invert labels. It is very hard to spot the error in the following line, and larray
+  cannot spot it for you either:
+
+    >>> stack([females, males), sex)
+    nat\\sex |   M |   F
+         BE | 0.0 | 1.0
+         FO | 0.0 | 1.0
+
+  When creating an axis from scratch (it does not already exist in a variable), one might want to use this:
+
+    >>> stack([males, females], 'sex=M,F')
+
+  even if this could suffer, to a lesser extent, the same problem as above when stacking many arrays.
+
+* added another feature (see the :ref:`miscellaneous section <misc>` for details).
 
 .. _misc:
 
@@ -15,4 +55,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed something (closes :issue:`1`).
diff --git a/larray/core.py b/larray/core.py
index 756bc16bf..21c75e567 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -85,6 +85,7 @@
 #   (and potentially rename it to reflect the broader scope)
 
 import csv
+from collections import Iterable, Sequence
 from itertools import product, chain, groupby, islice
 import os
 import re
@@ -10602,33 +10603,22 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
 
-# XXX: sloppy syntax (BEURK) -- in that case, users would be *required* to provide labels.
-# stack('M', 1, 'F', 2, axis='sex')
-# stack('M', a1, 'F', a2, axis='sex')
-
 # on Python 3.6, we could do something like (it would make from_lists obsolete for 1D arrays):
 # stack('sex', M=1, F=2)
 
 # which is almost equivalent to:
 
 # stack(M=1, F=2, axis='sex')
-# stack([('M', 1), ('F', 2)], axis='sex')
-# stack({'M': 1, 'F': 2}, sex)  # only support this when a real axis object is given (until keeping dict order is
-#                               # mandatory and not an implementation detail)
 
 # but we cannot support the current syntax unmodified AND the first version, but second version we could.
 
 # we would only have to explain that they cannot do:
+
 # stack(0=1, 1=2, axis='age')
 # stack(0A=1, 1B=2, axis='code')
 
 # but should use this instead:
 
-# stack([(0, 1), (1, 2)], axis='age')
-# stack([('0A', 1), ('1B', 2)], axis='code')
-
-# or
-
 # stack({0: 1, 1: 2}, 'age=0,1')
 # stack({'0A': 1, '1B': 2}, 'code=0A,1B')
 
@@ -10677,8 +10667,10 @@ def stack(arrays, axis=None, title=''):
 
     Parameters
     ----------
-    arrays : tuple or list of values.
-        Arrays to stack. values can be scalars, arrays or (label, value) pairs.
+    arrays : tuple, list or dict.
+        Arrays to stack. values can be scalars, arrays, (label, value) pairs or a {label: value} mapping. In the
+        later case, axis must be defined and cannot be a name only, because we need to have labels order,
+        which the mapping does not provide.
     axis : str or Axis, optional
         Axis to create. If None, defaults to a range() axis.
     title : str, optional
@@ -10691,7 +10683,8 @@ def stack(arrays, axis=None, title=''):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
+    >>> nat = Axis('nat', 'BE, FO')
+    >>> sex = Axis('sex', 'M, F')
     >>> arr1 = ones(nat)
     >>> arr1
     nat |  BE |  FO
@@ -10700,55 +10693,58 @@ def stack(arrays, axis=None, title=''):
     >>> arr2
     nat |  BE |  FO
         | 0.0 | 0.0
-    >>> stack([('M', arr1), ('F', arr2)], 'sex')
+
+    In the case the axis to create has already been defined in a variable
+
+    >>> stack({'M': arr1, 'F': arr2}, sex)
     nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
-    It also works when reusing an existing axis (though the first syntax
-    should be preferred because it is more obvious which label correspond to
-    what array):
+    Otherwise (when one wants to create an axis from scratch), any of these syntaxes works:
 
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> stack((arr1, arr2), sex)
+    >>> stack([arr1, arr2], 'sex=M,F')
+    nat\\sex |   M |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+    >>> stack({'M': arr1, 'F': arr2}, 'sex=M,F')
+    nat\\sex |   M |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+    >>> stack([('M', arr1), ('F', arr2)], 'sex')
     nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
-    or for arrays with different axes:
+    When stacking arrays with different axes, the result has the union of all axes present:
 
-    >>> stack((arr1, 0), sex)
+    >>> stack({'M': arr1, 'F': 0}, sex)
     nat\\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
-    or even with no axis at all:
+    Creating an axis without name nor labels can be done using:
 
     >>> stack((arr1, arr2))
     nat\\{1}* |   0 |   1
           BE | 1.0 | 0.0
           FO | 1.0 | 0.0
-
-    >>> # TODO: move this to unit test
-    >>> # not using the same length as nat, otherwise numpy gets confused :(
-    >>> nd = LArray([arr1, zeros(Axis('type', [1, 2, 3]))], sex)
-    >>> stack(nd, sex)
-    nat | type\\sex |   M |   F
-     BE |        1 | 1.0 | 0.0
-     BE |        2 | 1.0 | 0.0
-     BE |        3 | 1.0 | 0.0
-     FO |        1 | 1.0 | 0.0
-     FO |        2 | 1.0 | 0.0
-     FO |        3 | 1.0 | 0.0
     """
+    if isinstance(axis, str) and '=' in axis:
+        axis = Axis(*axis.split('='))
     # LArray arrays could be interesting
     if isinstance(arrays, LArray):
         if axis is None:
             axis = -1
         axis = arrays.axes[axis]
         values = [arrays[k] for k in axis]
-    else:
-        assert isinstance(arrays, (tuple, list))
+    elif isinstance(arrays, dict):
+        assert isinstance(axis, Axis)
+        values = [arrays[v] for v in axis.labels]
+    elif isinstance(arrays, Iterable):
+        if not isinstance(arrays, Sequence):
+            arrays = list(arrays)
+
         if all(isinstance(a, tuple) for a in arrays):
             assert all(len(a) == 2 for a in arrays)
             keys = [k for k, v in arrays]
@@ -10765,6 +10761,9 @@ def stack(arrays, axis=None, title=''):
                 axis = Axis(axis, len(arrays))
             else:
                 assert len(axis) == len(arrays)
+    else:
+        raise TypeError('unsupported type for arrays: %s' % type(arrays).__name__)
+
     result_axes = AxisCollection.union(*[get_axes(v) for v in values])
     result_axes.append(axis)
     result = empty(result_axes, title=title, dtype=common_type(values))
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index d4bdef585..c84337b6f 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -16,7 +16,7 @@
 from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
                     read_hdf, read_csv, read_eurostat, read_excel, open_excel,
                     zeros, zeros_like, ndrange, ndtest, from_lists,
-                    ones, eye, diag, clip, exp, where, x, mean, isnan, round)
+                    ones, eye, diag, clip, exp, where, x, mean, isnan, round, stack, from_string)
 from larray.core import _to_ticks, _to_key, df_aslarray
 
 
@@ -4074,6 +4074,21 @@ def test_split_axis(self):
         self.assertEqual(res.shape, (2, 3, 5, 4))
         assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
 
+    def test_stack(self):
+        sex = Axis('sex', 'M, F')
+        arr1 = ones('nat=BE, FO')
+        # not using the same length as nat, otherwise numpy gets confused :(
+        arr2 = zeros('type=1..3')
+        nd = LArray([arr1, arr2], sex)
+        res = stack(nd, sex)
+        expected = from_string("""nat, type\\sex,   M,   F
+                                   BE,        1, 1.0, 0.0
+                                   BE,        2, 1.0, 0.0
+                                   BE,        3, 1.0, 0.0
+                                   FO,        1, 1.0, 0.0
+                                   FO,        2, 1.0, 0.0
+                                   FO,        3, 1.0, 0.0""")
+        assert_array_equal(res, expected)
 
 if __name__ == "__main__":
     import doctest

From 7643107411ed1fb9a45f46596a683d235713b65b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 3 Apr 2017 15:30:36 +0200
Subject: [PATCH 447/899] fixed group aggregates on integer arrays for median,
 percentile, var and std (closes #193).

---
 doc/source/changes/version_0_22.rst.inc |  2 +-
 larray/core.py                          | 59 ++++++++++++++-----------
 larray/tests/test_la.py                 | 10 +++++
 3 files changed, 45 insertions(+), 26 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 7ab7ebc4d..03d8e7ecb 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -55,4 +55,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
diff --git a/larray/core.py b/larray/core.py
index 21c75e567..d5bd0af8a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4031,6 +4031,10 @@ def _doc_agg_method(desc, by=False, action="perform",
     return args_doc
 
 
+_always_return_float = {np.mean, np.nanmean, np.median, np.nanmedian, np.percentile, np.nanpercentile,
+                        np.std, np.nanstd, np.var, np.nanvar}
+
+
 class LArray(object):
     """
     A LArray object represents a multidimensional, homogeneous
@@ -5656,7 +5660,11 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
             # potentially translate axis reference to real axes
             groups = tuple(g.with_axis(axis) for g in groups)
             res_shape[axis_idx] = len(groups)
-            res_dtype = res.dtype if op not in (np.mean, np.nanmean) else float
+
+            # XXX: this code is fragile. I wonder if there isn't a way to ask the function what kind of dtype/shape it
+            #      will return given the input we are going to give it. My first search for this found nothing. One
+            #      way to do this would be to create one big mapping: {(op, input dtype): res dtype}
+            res_dtype = float if op in _always_return_float else res.dtype
             res_data = np.empty(res_shape, dtype=res_dtype)
 
             group_idx = [slice(None) for _ in res_shape]
@@ -5728,6 +5736,7 @@ def _prepare_aggregate(self, op, args, kwargs=None, commutative=False,
                     args += tuple(explicit_axis)
             kwargs_items = kwargs.items()
         if not commutative and len(kwargs_items) > 1:
+            # TODO: lift this restriction for python3.6+
             raise ValueError("grouping aggregates on multiple axes at the same "
                              "time using keyword arguments is not supported "
                              "for '%s' (because it is not a commutative"
@@ -7302,26 +7311,26 @@ def method(self, *args, **kwargs):
         Select some rows only
 
         >>> arr.median(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  7 |  7 |  4 |  8
+        b |  b0 |  b1 |  b2 |  b3
+          | 7.5 | 7.5 | 4.0 | 8.0
         >>> # or equivalently
         >>> # arr.median('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.median((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  7 |  7 |  4 |  8
-        a2,a3 |  7 |  6 |  2 |  7
+          a\\b |  b0 |  b1 |  b2 |  b3
+        a0,a1 | 7.5 | 7.5 | 4.0 | 8.0
+        a2,a3 | 7.5 | 6.0 | 2.5 | 7.5
         >>> # or equivalently
         >>> # arr.median('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.median((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  7 |  7 |  4 |  8
-        a23 |  7 |  6 |  2 |  7
+        a\\b |  b0 |  b1 |  b2 |  b3
+        a01 | 7.5 | 7.5 | 4.0 | 8.0
+        a23 | 7.5 | 6.0 | 2.5 | 7.5
         >>> # or equivalently
         >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("median", kwargs="out,skipna,keepaxes"))
@@ -7439,26 +7448,26 @@ def percentile(self, q, *args, **kwargs):
         Select some rows only
 
         >>> arr.percentile(25, ['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  1 |  2 |  3 |  4
+        b |  b0 |  b1 |  b2 |  b3
+          | 1.0 | 2.0 | 3.0 | 4.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1')
 
         Split an axis in several parts
 
         >>> arr.percentile(25, (['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  1 |  2 |  3 |  4
-        a2,a3 |  9 | 10 | 11 | 12
+          a\\b |  b0 |   b1 |   b2 |   b3
+        a0,a1 | 1.0 |  2.0 |  3.0 |  4.0
+        a2,a3 | 9.0 | 10.0 | 11.0 | 12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.percentile(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  1 |  2 |  3 |  4
-        a23 |  9 | 10 | 11 | 12
+        a\\b |  b0 |   b1 |   b2 |   b3
+        a01 | 1.0 |  2.0 |  3.0 |  4.0
+        a23 | 9.0 | 10.0 | 11.0 | 12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("qth percentile", extra_args="q",
@@ -7636,26 +7645,26 @@ def percentile_by(self, q, *args, **kwargs):
         Select some rows only
 
         >>> arr.var(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  6 |  0 |  1 |  1
+        b |   b0 |   b1 |  b2 |  b3
+          | 6.25 | 0.25 | 1.0 | 1.0
         >>> # or equivalently
         >>> # arr.var('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.var((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  6 |  0 |  1 |  1
-        a2,a3 |  2 | 16 |  6 |  2
+          a\\b |   b0 |   b1 |   b2 |   b3
+        a0,a1 | 6.25 | 0.25 |  1.0 |  1.0
+        a2,a3 | 2.25 | 16.0 | 6.25 | 2.25
         >>> # or equivalently
         >>> # arr.var('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.var((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  6 |  0 |  1 |  1
-        a23 |  2 | 16 |  6 |  2
+        a\\b |   b0 |   b1 |   b2 |   b3
+        a01 | 6.25 | 0.25 |  1.0 |  1.0
+        a23 | 2.25 | 16.0 | 6.25 | 2.25
         >>> # or equivalently
         >>> # arr.var('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("variance", kwargs="dtype,out,ddof,skipna,keepaxes"))
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index c84337b6f..2a9f64c74 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2519,6 +2519,16 @@ def test_group_agg_anonymous_axis(self):
         raw = np.asarray(la)
         assert_array_equal(la.sum(a2[0, 2]), raw[:, [0, 2]].sum(1))
 
+    def test_group_agg_on_int_array(self):
+        # issue 193
+        arr = ndrange('year=2014..2016')
+        group = arr.year[:2015]
+        self.assertEqual(arr.mean(group), 0.5)
+        self.assertEqual(arr.median(group), 0.5)
+        self.assertEqual(arr.percentile(90, group), 0.9)
+        self.assertEqual(arr.std(group), 0.5)
+        self.assertEqual(arr.var(group), 0.25)
+
     # TODO: fix this (and add other tests for references (x.) to anonymous axes
     # def test_group_agg_anonymous_axis_ref(self):
     #     la = ndrange((2, 3))

From f33f0d49d2eeb99e2aa8b5c99d551b99033479ff Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 3 Apr 2017 15:59:19 +0200
Subject: [PATCH 448/899] fixed group sum over boolean arrays (closes #194)

---
 doc/source/changes/version_0_22.rst.inc | 2 ++
 larray/core.py                          | 2 ++
 larray/tests/test_la.py                 | 8 ++++++++
 3 files changed, 12 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 03d8e7ecb..b9e7d0f3b 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -56,3 +56,5 @@ Fixes
 -----
 
 * fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
+
+* fixed group sum over boolean arrays (closes :issue:`194`).
diff --git a/larray/core.py b/larray/core.py
index d5bd0af8a..058e72ed6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5665,6 +5665,8 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
             #      will return given the input we are going to give it. My first search for this found nothing. One
             #      way to do this would be to create one big mapping: {(op, input dtype): res dtype}
             res_dtype = float if op in _always_return_float else res.dtype
+            if op in (np.sum, np.nansum) and res.dtype in (np.bool, np.bool_):
+                res_dtype = int
             res_data = np.empty(res_shape, dtype=res_dtype)
 
             group_idx = [slice(None) for _ in res_shape]
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 2a9f64c74..9b9fab173 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2529,6 +2529,14 @@ def test_group_agg_on_int_array(self):
         self.assertEqual(arr.std(group), 0.5)
         self.assertEqual(arr.var(group), 0.25)
 
+    def test_group_agg_on_bool_array(self):
+        # issue 194
+        a = ndtest((2, 3))
+        b = a > 1
+        expected = from_string("""a, a0, a1
+                                   ,  1,  2""")
+        assert_array_equal(b.sum('b1:'), expected)
+
     # TODO: fix this (and add other tests for references (x.) to anonymous axes
     # def test_group_agg_anonymous_axis_ref(self):
     #     la = ndrange((2, 3))

From c1c6fcf06a5a37ffda9521ae32114a2f0d1e9dce Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 3 Apr 2017 16:14:07 +0200
Subject: [PATCH 449/899] implemented describe() and describe_by(). Closes
 #184.

---
 doc/source/changes/version_0_22.rst.inc |  33 +++++++
 larray/core.py                          | 110 +++++++++++++++++++++---
 2 files changed, 129 insertions(+), 14 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index b9e7d0f3b..444ff49bf 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -1,6 +1,39 @@
 New features
 ------------
 
+* implemented a new describe() method on arrays to give quick summary statistics (excluding NaN values). By default,
+  it includes the number of values, mean, standard deviation, minimum, 25, 50 and 75 percentiles and maximum.
+
+    >>> arr = ndrange('gender=Male,Female;year=2014..2020').astype(float)
+    >>> arr
+    gender\year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
+           Male |  0.0 |  1.0 |  2.0 |  3.0 |  4.0 |  5.0 |  6.0
+         Female |  7.0 |  8.0 |  9.0 | 10.0 | 11.0 | 12.0 | 13.0
+    >>> arr.describe()
+    statistic | count | mean |               std | min |  25% | 50% |  75% |  max
+              |  14.0 |  6.5 | 4.031128874149275 | 0.0 | 3.25 | 6.5 | 9.75 | 13.0
+
+  an optional keyword argument allow to specify different percentiles to include
+
+    >>> arr.describe(percentiles=[20, 40, 60, 80])
+    statistic | count | mean |               std | min | 20% | 40% | 60% |  80% |  max
+              |  14.0 |  6.5 | 4.031128874149275 | 0.0 | 2.6 | 5.2 | 7.8 | 10.4 | 13.0
+
+  its sister method, describe_by() was also implemented to give quick summary statistics along axes or groups.
+
+    >>> arr.describe_by('gender')
+    gender\statistic | count | mean | std | min | 25% |  50% |  75% |  max
+                Male |   7.0 |  3.0 | 2.0 | 0.0 | 1.5 |  3.0 |  4.5 |  6.0
+              Female |   7.0 | 10.0 | 2.0 | 7.0 | 8.5 | 10.0 | 11.5 | 13.0
+    >>> arr.describe_by('gender', (x.year[:2015], x.year[2019:]))
+    gender | year\statistic | count | mean | std |  min |   25% |  50% |   75% |  max
+      Male |          :2015 |   2.0 |  0.5 | 0.5 |  0.0 |  0.25 |  0.5 |  0.75 |  1.0
+      Male |          2019: |   2.0 |  5.5 | 0.5 |  5.0 |  5.25 |  5.5 |  5.75 |  6.0
+    Female |          :2015 |   2.0 |  7.5 | 0.5 |  7.0 |  7.25 |  7.5 |  7.75 |  8.0
+    Female |          2019: |   2.0 | 12.5 | 0.5 | 12.0 | 12.25 | 12.5 | 12.75 | 13.0
+
+  This closes :issue:`184`.
+
 * implemented a new syntax for stack(): `stack({label1: value1, label2: value2}, axis)`
 
     >>> nat = Axis('nat', 'BE, FO')
diff --git a/larray/core.py b/larray/core.py
index 058e72ed6..16e579ec3 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4489,7 +4489,88 @@ def to_series(self, dropna=False):
         return series
     series = property(to_series)
 
-    #noinspection PyAttributeOutsideInit
+    def describe(self, *args, percentiles=None):
+        """
+        Descriptive summary statistics, excluding NaN values.
+
+        Parameters
+        ----------
+        *args : ...
+            axes or groups
+        percentiles : array-like, optional.
+            list of integer percentiles to include. Defaults to [25, 50, 75].
+
+        Returns
+        -------
+        LArray
+
+        Examples
+        --------
+        >>> arr = ndrange('year=2014..2020')
+        >>> arr
+        year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
+             |    0 |    1 |    2 |    3 |    4 |    5 |    6
+        >>> arr.describe()
+        statistic | count | mean | std | min | 25% | 50% | 75% | max
+                  |   7.0 |  3.0 | 2.0 | 0.0 | 1.5 | 3.0 | 4.5 | 6.0
+        >>> arr.describe(percentiles=[50, 90])
+        statistic | count | mean | std | min | 50% | 90% | max
+                  |   7.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.4 | 6.0
+        """
+        if percentiles is None:
+            percentiles = [25, 50, 75]
+        plabels = ['{}%'.format(p) for p in percentiles]
+        labels = ['count', 'mean', 'std', 'min'] + plabels + ['max']
+        percentiles = [0] + list(percentiles) + [100]
+        # TODO: we should use the commented code using  *self.percentile(percentiles, *args) but this does not work
+        # when *args is not empty (see https://github.com/liam2/larray/issues/192)
+        # return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args),
+        #               *self.percentile(percentiles, *args)], Axis('stats', labels))
+        return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args)] +
+                     [self.percentile(p, *args) for p in percentiles], Axis('statistic', labels))
+
+    def describe_by(self, *args, percentiles=None):
+        """
+        Descriptive summary statistics, excluding NaN values, along axes or for groups.
+
+        Parameters
+        ----------
+        *args : ...
+            axes or groups
+        percentiles : array-like, optional.
+            list of integer percentiles to include. Defaults to [25, 50, 75].
+
+        Returns
+        -------
+        LArray
+
+        Examples
+        --------
+        >>> arr = ndrange('gender=Male,Female;year=2014..2020').astype(float)
+        >>> arr
+        gender\year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
+               Male |  0.0 |  1.0 |  2.0 |  3.0 |  4.0 |  5.0 |  6.0
+             Female |  7.0 |  8.0 |  9.0 | 10.0 | 11.0 | 12.0 | 13.0
+        >>> arr.describe_by('gender')
+        gender\statistic | count | mean | std | min | 25% |  50% |  75% |  max
+                    Male |   7.0 |  3.0 | 2.0 | 0.0 | 1.5 |  3.0 |  4.5 |  6.0
+                  Female |   7.0 | 10.0 | 2.0 | 7.0 | 8.5 | 10.0 | 11.5 | 13.0
+        >>> arr.describe_by('gender', (x.year[:2015], x.year[2019:]))
+        gender | year\statistic | count | mean | std |  min |   25% |  50% |   75% |  max
+          Male |          :2015 |   2.0 |  0.5 | 0.5 |  0.0 |  0.25 |  0.5 |  0.75 |  1.0
+          Male |          2019: |   2.0 |  5.5 | 0.5 |  5.0 |  5.25 |  5.5 |  5.75 |  6.0
+        Female |          :2015 |   2.0 |  7.5 | 0.5 |  7.0 |  7.25 |  7.5 |  7.75 |  8.0
+        Female |          2019: |   2.0 | 12.5 | 0.5 | 12.0 | 12.25 | 12.5 | 12.75 | 13.0
+        >>> arr.describe_by('gender', percentiles=[50, 90])
+        gender\statistic | count | mean | std | min |  50% |  90% |  max
+                    Male |   7.0 |  3.0 | 2.0 | 0.0 |  3.0 |  5.4 |  6.0
+                  Female |   7.0 | 10.0 | 2.0 | 7.0 | 10.0 | 12.4 | 13.0
+        """
+        args = self._prepare_aggregate(None, args)
+        args = self._by_args_to_normal_agg_args(args)
+        return self.describe(*args, percentiles=percentiles)
+
+    # noinspection PyAttributeOutsideInit
     # def __array_finalize__(self, obj):
     #     """
     #     used when arrays are allocated from subclasses of ndarrays
@@ -5805,24 +5886,25 @@ def standardise_arg(arg, stack_depth=1):
             operations = self.axes
         return operations
 
+    def _by_args_to_normal_agg_args(self, operations):
+        # get axes to aggregate
+        flat_op = chain.from_iterable([(o,) if isinstance(o, (Group, Axis)) else o
+                                       for o in operations])
+        axes = [o.axis if isinstance(o, Group) else o for o in flat_op]
+        to_agg = self.axes - axes
+
+        # add groups to axes to aggregate
+        def is_or_contains_group(o):
+            return isinstance(o, Group) or (isinstance(o, tuple) and isinstance(o[0], Group))
+
+        return list(to_agg) + [o for o in operations if is_or_contains_group(o)]
+
     def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False,
                    commutative=False, out=None, extra_kwargs={}):
         operations = self._prepare_aggregate(op, args, kwargs, commutative,
                                              stack_depth=3)
         if by_agg and operations != self.axes:
-            # get axes to aggregate
-            flat_op = chain.from_iterable([(o,) if isinstance(o, (Group, Axis))
-                                           else o for o in operations])
-            axes = [o.axis if isinstance(o, Group) else o for o in flat_op]
-            to_agg = self.axes - axes
-
-            # add groups to axes to aggregate
-            def is_or_contains_group(o):
-                return isinstance(o, Group) or \
-                       (isinstance(o, tuple) and isinstance(o[0], Group))
-
-            operations = list(to_agg) + \
-                         [o for o in operations if is_or_contains_group(o)]
+            operations = self._by_args_to_normal_agg_args(operations)
 
         res = self
         # group *consecutive* same-type (group vs axis aggregates) operations

From 1b7df833e561acf6b0ff4505eb0b3cef3121aace Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 3 Apr 2017 16:41:20 +0200
Subject: [PATCH 450/899] fix on python2

---
 larray/core.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 16e579ec3..5a197c069 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4489,7 +4489,7 @@ def to_series(self, dropna=False):
         return series
     series = property(to_series)
 
-    def describe(self, *args, percentiles=None):
+    def describe(self, *args, **kwargs):
         """
         Descriptive summary statistics, excluding NaN values.
 
@@ -4517,6 +4517,10 @@ def describe(self, *args, percentiles=None):
         statistic | count | mean | std | min | 50% | 90% | max
                   |   7.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.4 | 6.0
         """
+        # retrieve kw-only arguments
+        percentiles = kwargs.pop('percentiles', None)
+        if kwargs:
+            raise TypeError("describe() got an unexpected keyword argument '{}'".format(list(kwargs.keys())[0]))
         if percentiles is None:
             percentiles = [25, 50, 75]
         plabels = ['{}%'.format(p) for p in percentiles]
@@ -4529,7 +4533,7 @@ def describe(self, *args, percentiles=None):
         return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args)] +
                      [self.percentile(p, *args) for p in percentiles], Axis('statistic', labels))
 
-    def describe_by(self, *args, percentiles=None):
+    def describe_by(self, *args, **kwargs):
         """
         Descriptive summary statistics, excluding NaN values, along axes or for groups.
 
@@ -4566,6 +4570,10 @@ def describe_by(self, *args, percentiles=None):
                     Male |   7.0 |  3.0 | 2.0 | 0.0 |  3.0 |  5.4 |  6.0
                   Female |   7.0 | 10.0 | 2.0 | 7.0 | 10.0 | 12.4 | 13.0
         """
+        # retrieve kw-only arguments
+        percentiles = kwargs.pop('percentiles', None)
+        if kwargs:
+            raise TypeError("describe() got an unexpected keyword argument '{}'".format(list(kwargs.keys())[0]))
         args = self._prepare_aggregate(None, args)
         args = self._by_args_to_normal_agg_args(args)
         return self.describe(*args, percentiles=percentiles)

From 19e1b15669aa16e2b2fcc0a34469d1f300b4ab85 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 4 Apr 2017 08:56:37 +0200
Subject: [PATCH 451/899] improved docstrings for describe*

---
 larray/core.py | 28 +++++++++++++++++++++-------
 1 file changed, 21 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 5a197c069..9a18ce652 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3975,12 +3975,12 @@ def _doc_agg_method(desc, by=False, action="perform",
 
     if by:
         str_doc = "The {0} is {1}ed along all axes except the given one(s). " \
-                  "For groups, {0} is {1}ed along groups and non associated axes." \
+                  "For groups, {0} is {1}ed along groups and non associated axes. " \
                   "The default (no axis or group) is to {1} the {0} " \
                   "over all the dimensions of the input array.".format(desc, action)
     else:
         str_doc = "Axis(es) or group(s) along the {0} is {1}ed. " \
-                  " The default (no axis or group) is to {1} the {0} " \
+                  "The default (no axis or group) is to {1} the {0} " \
                   "over all the dimensions of the input array.".format(desc, action)
 
     args_doc = \
@@ -4493,17 +4493,24 @@ def describe(self, *args, **kwargs):
         """
         Descriptive summary statistics, excluding NaN values.
 
+        By default, it includes the number of non-NaN values, the mean, standard deviation, minimum, maximum and
+        the 25, 50 and 75 percentiles.
+
         Parameters
         ----------
-        *args : ...
-            axes or groups
+        *args : int or str or Axis or Group or any combination of those, optional
+            Axes or groups along which to compute the aggregates. Defaults to aggregate over the whole array.
         percentiles : array-like, optional.
-            list of integer percentiles to include. Defaults to [25, 50, 75].
+            List of integer percentiles to include. Defaults to [25, 50, 75].
 
         Returns
         -------
         LArray
 
+        See Also
+        --------
+        LArray.describe_by
+
         Examples
         --------
         >>> arr = ndrange('year=2014..2020')
@@ -4537,10 +4544,13 @@ def describe_by(self, *args, **kwargs):
         """
         Descriptive summary statistics, excluding NaN values, along axes or for groups.
 
+        By default, it includes the number of non-NaN values, the mean, standard deviation, minimum, maximum and
+        the 25, 50 and 75 percentiles.
+
         Parameters
         ----------
-        *args : ...
-            axes or groups
+        *args : int or str or Axis or Group or any combination of those, optional
+            Axes or groups to include in the result after aggregating. Defaults to aggregate over the whole array.
         percentiles : array-like, optional.
             list of integer percentiles to include. Defaults to [25, 50, 75].
 
@@ -4548,6 +4558,10 @@ def describe_by(self, *args, **kwargs):
         -------
         LArray
 
+        See Also
+        --------
+        LArray.describe
+
         Examples
         --------
         >>> arr = ndrange('gender=Male,Female;year=2014..2020').astype(float)

From 286fea41777433d34faed9f846e23b77b4153810 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Apr 2017 12:16:32 +0200
Subject: [PATCH 452/899] documentation : removed output files created by
 running LArray_intro.ipynb + update gitignore

---
 .gitignore                                |     3 +-
 doc/source/notebooks/{test.h5 => data.h5} |   Bin 783880 -> 788208 bytes
 doc/source/notebooks/data.xlsx            |   Bin 0 -> 1426532 bytes
 doc/source/notebooks/data2.h5             |   Bin 12944 -> 0 bytes
 doc/source/notebooks/data2.xlsx           |   Bin 24178 -> 0 bytes
 doc/source/notebooks/{hh2.csv => hh.csv}  |     0
 doc/source/notebooks/pop.csv              | 18877 ++++++++++++++++++++
 doc/source/notebooks/qx.csv               | 18877 ++++++++++++++++++++
 doc/source/notebooks/test.xlsx            |   Bin 1427798 -> 0 bytes
 9 files changed, 37756 insertions(+), 1 deletion(-)
 rename doc/source/notebooks/{test.h5 => data.h5} (96%)
 create mode 100644 doc/source/notebooks/data.xlsx
 delete mode 100644 doc/source/notebooks/data2.h5
 delete mode 100644 doc/source/notebooks/data2.xlsx
 rename doc/source/notebooks/{hh2.csv => hh.csv} (100%)
 create mode 100644 doc/source/notebooks/pop.csv
 create mode 100644 doc/source/notebooks/qx.csv
 delete mode 100644 doc/source/notebooks/test.xlsx

diff --git a/.gitignore b/.gitignore
index 0bd31ff95..e513cb638 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,7 @@
 doc/notebooks/.ipynb_checkpoints
+/doc/source/notebooks/.ipynb_checkpoints/
 doc/build/
 .idea
 *.pyc
 *.pyd
-larray.egg-info
\ No newline at end of file
+larray.egg-info
diff --git a/doc/source/notebooks/test.h5 b/doc/source/notebooks/data.h5
similarity index 96%
rename from doc/source/notebooks/test.h5
rename to doc/source/notebooks/data.h5
index 5ab18bea9fb5d5024e31adba8e396816532aea09..6dd9ddab6f9fb239f790717a971c03a53145633a 100644
GIT binary patch
delta 1975
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diff --git a/doc/source/notebooks/hh2.csv b/doc/source/notebooks/hh.csv
similarity index 100%
rename from doc/source/notebooks/hh2.csv
rename to doc/source/notebooks/hh.csv
diff --git a/doc/source/notebooks/pop.csv b/doc/source/notebooks/pop.csv
new file mode 100644
index 000000000..82eb2b69d
--- /dev/null
+++ b/doc/source/notebooks/pop.csv
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From dace6b925dfe205334c9cdf5c9d12b0199660253 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Apr 2017 14:08:59 +0200
Subject: [PATCH 453/899] bug correction in set_labels when inplace=True

---
 doc/source/changes/version_0_22.rst.inc | 2 ++
 larray/core.py                          | 5 +++--
 larray/tests/test_la.py                 | 5 +++++
 3 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 444ff49bf..f04717144 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -91,3 +91,5 @@ Fixes
 * fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
 
 * fixed group sum over boolean arrays (closes :issue:`194`).
+
+* fixed set_labels when inplace=True
diff --git a/larray/core.py b/larray/core.py
index 9a18ce652..20e0b2f41 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -9112,12 +9112,13 @@ def set_labels(self, axis, labels=None, inplace=False):
             else:
                 new_axis = Axis(real_axis.name, axis_changes)
             new_axes.append(new_axis)
+        axes = self.axes.replace(list(changes.keys()), new_axes)
 
         if inplace:
-            object.__setattr__(self, 'axes', new_axes)
+            object.__setattr__(self, 'axes', axes)
             return self
         else:
-            return LArray(self.data, self.axes.replace(list(changes.keys()), new_axes))
+            return LArray(self.data, axes)
 
     def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
         return LArray(self.data.astype(dtype, order, casting, subok, copy),
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 9b9fab173..5bdb292ed 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3141,6 +3141,11 @@ def test_mean(self):
         sex, lipro = la.axes
         assert_array_equal(la.mean(lipro), raw.mean(1))
 
+    def test_set_labels(self):
+        la = self.small.copy()
+        la.set_labels(x.sex, ['Man', 'Woman'], inplace=True)
+        assert_array_equal(la, self.small.set_labels(x.sex, ['Man', 'Woman']))
+
     def test_replace_axes(self):
         lipro2 = Axis('lipro2', [l.replace('P', 'Q') for l in self.lipro.labels])
         sex2 = Axis('sex2', ['Man', 'Woman'])

From bf5da40ce070a70614d17ec72569ef87e02d7324 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Apr 2017 14:26:18 +0200
Subject: [PATCH 454/899] documentation : updated LArray_intro.ipynb

---
 doc/source/notebooks/LArray_intro.ipynb | 723 ++++++++++++------------
 1 file changed, 371 insertions(+), 352 deletions(-)

diff --git a/doc/source/notebooks/LArray_intro.ipynb b/doc/source/notebooks/LArray_intro.ipynb
index 9340bcd6b..dac12f21e 100644
--- a/doc/source/notebooks/LArray_intro.ipynb
+++ b/doc/source/notebooks/LArray_intro.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {
     "collapsed": true,
     "nbsphinx": "hidden"
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {
     "collapsed": true,
     "nbsphinx": "hidden"
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -90,7 +90,7 @@
        " Axis('other', ['A01', 'A02', 'A03', 'B01', 'B02', 'B03', 'C01', 'C02', 'C03']))"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
@@ -148,27 +148,27 @@
      "data": {
       "text/plain": [
        "age* | sex | time\\other | A01 | A02 | A03 | B01 | B02 | B03 | C01 | C02 | C03\n",
-       "   0 |   M |       2007 |  61 |  25 |  27 |  83 |  35 |  50 |  26 |  84 |  35\n",
-       "   0 |   M |       2008 |  37 |  69 |  87 |  57 |  90 |  90 |  89 |  45 |  80\n",
-       "   0 |   M |       2009 |  11 |  18 |  18 |  36 |  82 |  36 |  94 |  68 |  95\n",
-       "   0 |   F |       2007 |  67 |  22 |  50 |  19 |  46 |  62 |  22 |  65 |  63\n",
-       "   0 |   F |       2008 |  99 |  35 |   3 |  76 |  42 |  48 |  58 |  69 |  32\n",
-       "   0 |   F |       2009 |  88 |  11 |   5 |  83 |   8 |  69 |  58 |  94 |  93\n",
-       "   1 |   M |       2007 |  14 |  62 |  48 |  20 |  23 |   9 |  12 |  83 |  93\n",
-       "   1 |   M |       2008 |  61 |  79 |  42 |  55 |  23 |  41 |  48 |  77 |  48\n",
-       "   1 |   M |       2009 |  12 |  62 |  44 |  42 |  72 |  85 |  86 |   2 |  79\n",
-       "   1 |   F |       2007 |  24 |  91 |  89 |  93 |  51 |  98 |  98 |  69 |  66\n",
-       "   1 |   F |       2008 |  36 |  28 |  39 |  82 |   5 |  49 |  97 |  27 |   1\n",
-       "   1 |   F |       2009 |  33 |  67 |  31 |  69 |  96 |  99 |  77 |  90 |  33\n",
-       "   2 |   M |       2007 |  81 |  96 |  66 |  83 |   5 |  43 |   2 |  82 |  17\n",
-       "   2 |   M |       2008 |  46 |  19 |  30 |   9 |  20 |  36 |  63 |   7 |  67\n",
-       "   2 |   M |       2009 |  46 |   2 |  97 |  71 |  42 |  85 |  60 |  21 |  62\n",
-       "   2 |   F |       2007 |  70 |  83 |  90 |  90 |  32 |  12 |  83 |  38 |  35\n",
-       "   2 |   F |       2008 |  77 |  21 |  97 |  78 |  20 |  42 |  33 |  37 |  91\n",
-       "   2 |   F |       2009 |  23 |  16 |  78 |  37 |  90 |  66 |  96 |  95 |  55"
+       "   0 |   M |       2007 |  53 |   3 |  76 |  69 |  10 |  51 |  45 |  32 |  79\n",
+       "   0 |   M |       2008 |  88 |  72 |  89 |  31 |  82 |  91 |  59 |  14 |  69\n",
+       "   0 |   M |       2009 |   1 |  82 |  71 |  96 |  19 |  70 |  88 |  11 |  84\n",
+       "   0 |   F |       2007 |  84 |  16 |   4 |  95 |  37 |  74 |  17 |   6 |  26\n",
+       "   0 |   F |       2008 |   8 |  27 |  19 |  38 |  91 |  45 |  19 |  93 |  50\n",
+       "   0 |   F |       2009 |  33 |  73 |  65 |  34 |  91 |  54 |  82 |  64 |  47\n",
+       "   1 |   M |       2007 |   3 |  81 |  26 |   3 |  38 |  97 |   8 |  78 |  26\n",
+       "   1 |   M |       2008 |  21 |  40 |  43 |  41 |  91 |   6 |  75 |  75 |  53\n",
+       "   1 |   M |       2009 |  83 |  85 |   7 |  61 |  27 |  63 |  70 |  42 |   5\n",
+       "   1 |   F |       2007 |  67 |  37 |  90 |  39 |  51 |  78 |  50 |  76 |  16\n",
+       "   1 |   F |       2008 |  53 |  96 |  94 |   8 |  12 |  47 |  12 |   7 |  49\n",
+       "   1 |   F |       2009 |  31 |  32 |  81 |  14 |  96 |  68 |  37 |  36 |  48\n",
+       "   2 |   M |       2007 |  60 |  19 |  42 |  24 |  54 |  65 |  40 |  91 |  59\n",
+       "   2 |   M |       2008 |  89 |  76 |   1 |   6 |  12 |  98 |  78 |  36 |  22\n",
+       "   2 |   M |       2009 |  18 |  18 |  26 |  89 |  26 |  37 |  38 |   1 |  39\n",
+       "   2 |   F |       2007 |  95 |  52 |  18 |  13 |  95 |  18 |  31 |   3 |  19\n",
+       "   2 |   F |       2008 |  57 |  90 |  82 |   0 |  15 |  32 |  79 |  90 |  71\n",
+       "   2 |   F |       2009 |  58 |   4 |  86 |  28 |  52 |  74 |  60 |  88 |  99"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -217,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
@@ -234,19 +234,19 @@
        "   2 |        F |   14 |   15 |   16"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# start defines the starting value of data\n",
-    "la.ndrange([age, 'sex=M,F', ('time', '2007,2008,2009')], start=-1, title='ndrange example')"
+    "la.ndrange([age, 'sex=M,F', ('time', '2007,2008,2009')], start=-1)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -260,7 +260,7 @@
        " a4 |  5 |  6 |  7"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -268,12 +268,12 @@
    "source": [
     "# start defines the starting value of data\n",
     "# label_start defines the starting index of labels\n",
-    "la.ndtest((3, 3), start=-1, label_start=2, , title='ndtest example')"
+    "la.ndtest((3, 3), start=-1, label_start=2)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -281,16 +281,16 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time |                 2007 |                 2008 |                 2009\n",
-       "   0 |        M | 1.2009094192155e-311 | 1.2008848008177e-311 | 1.2008846373333e-311\n",
-       "   0 |        F | 1.2008830638805e-311 |  1.200884244215e-311 |  1.200874353187e-311\n",
-       "   1 |        M | 1.2008421777547e-311 |  1.200842177798e-311 | 1.2008421778416e-311\n",
-       "   1 |        F |  1.200842177885e-311 | 1.2008421779286e-311 | 1.2008650739464e-311\n",
-       "   2 |        M |                  0.0 |                  0.0 |                  0.0\n",
-       "   2 |        F |                  0.0 |                  0.0 |                  0.0"
+       "age* | sex\\time |                    2007 |                    2008 |                    2009\n",
+       "   0 |        M |  2.439987165725474e-152 | 2.3146174050789592e-152 |  9.311152243558189e+242\n",
+       "   0 |        F |  1.175673664932327e+214 |  1.414807375125991e+161 |  8.026288117339919e+165\n",
+       "   1 |        M |  8.422441897317246e+252 |  7.492295173108775e+247 |  2.875046757826351e+161\n",
+       "   1 |        F |  7.266079505816696e+223 |  6.901354338413896e+212 | 1.9711445101825257e+161\n",
+       "   2 |        M |   8.30445707694498e-114 | 1.0501692936319703e-153 |   8.274643196359165e-72\n",
+       "   2 |        F | 4.6475652909549244e+151 |  3.033806047441635e-110 |             1.2697e-320"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -299,12 +299,12 @@
     "# empty generates uninitialised array with correct axes (much faster but use with care!).\n",
     "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there. \n",
     "# Use it only if performance matters and make sure all data will be overridden. \n",
-    "la.empty([age, 'sex=M,F', ('time', '2007,2008,2009')], title='empty example')"
+    "la.empty([age, 'sex=M,F', ('time', '2007,2008,2009')])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -321,19 +321,19 @@
        "   2 |       F |  0.0 |  0.0 |  0.0"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# example with anonymous axes\n",
-    "la.zeros([3, 'M,F', (None, '2007,2008,2009')], , title='zeros example')"
+    "la.zeros([3, 'M,F', (None, '2007,2008,2009')])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -350,19 +350,19 @@
        "   2 |        F |    1 |    1 |    1"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# dtype=int forces to store int data instead of default float\n",
-    "la.ones([age, 'sex=M,F', ('time', '2007,2008,2009')], title='ones example', dtype=int)"
+    "la.ones([age, 'sex=M,F', ('time', '2007,2008,2009')], dtype=int)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -379,13 +379,13 @@
        "   2 |        F | 1.23 | 1.23 | 1.23"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "la.full([age, 'sex=M,F', ('time', '2007,2008,2009')], 1.23, title='full example')"
+    "la.full([age, 'sex=M,F', ('time', '2007,2008,2009')], 1.23)"
    ]
   },
   {
@@ -397,7 +397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -427,13 +427,13 @@
        "   2 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "la.ones_like(arr, title='ones_like example')"
+    "la.ones_like(arr)"
    ]
   },
   {
@@ -453,7 +453,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -465,7 +465,7 @@
        "    | 1.0 | 1.5"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -477,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -489,7 +489,7 @@
        "     | 1.0 | 2.0 | 4.0"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -501,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -513,7 +513,7 @@
        "     |  2.0 |  4.0 | 16.0"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -532,7 +532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -545,7 +545,7 @@
        "       F |  0.0 | 1.15 |  2.3"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -558,7 +558,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -571,7 +571,7 @@
        "      F | 100.0 |              98.0 | 96.03999999999999 | 94.11919999999999"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -607,7 +607,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -621,7 +621,7 @@
        " hh_type [7]: 'SING' \"'MAR0\" 'MAR+' ... 'UNM+' 'H1P' 'OTHR'"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -642,9 +642,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 19,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "scrolled": true
    },
    "outputs": [
     {
@@ -658,7 +659,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -678,7 +679,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -694,7 +695,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -704,24 +705,6 @@
     "mortality.info"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or SAS files (see documentation of *read_sas* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "la.read_sas('qx.xpt')"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -738,7 +721,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 21,
    "metadata": {
     "collapsed": true
    },
@@ -756,7 +739,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 22,
    "metadata": {
     "collapsed": false
    },
@@ -778,7 +761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -797,7 +780,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -814,7 +797,7 @@
        "   2 |        F |   15 |   16 |   17"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -844,7 +827,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -862,7 +845,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -884,7 +867,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 27,
    "metadata": {
     "collapsed": true
    },
@@ -905,7 +888,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 28,
    "metadata": {
     "collapsed": true
    },
@@ -923,7 +906,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 29,
    "metadata": {
     "collapsed": true
    },
@@ -948,7 +931,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -966,7 +949,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -983,7 +966,7 @@
        "   2 |        F |   15 |   16 |   17"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1006,7 +989,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -1021,7 +1004,7 @@
        "   1 |        F |    9 |   10"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1052,7 +1035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -1067,7 +1050,7 @@
        "        3 | 9.0 | 10.0"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1086,7 +1069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -1097,7 +1080,7 @@
        "larray.excel.Range"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1115,7 +1098,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -1127,7 +1110,7 @@
        "     | 18.0 | 22.0"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1145,7 +1128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 36,
    "metadata": {
     "collapsed": true
    },
@@ -1165,7 +1148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 37,
    "metadata": {
     "collapsed": true
    },
@@ -1183,7 +1166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 38,
    "metadata": {
     "collapsed": false,
     "nbsphinx": "hidden"
@@ -1203,7 +1186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false
    },
@@ -1219,7 +1202,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1237,7 +1220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
@@ -1255,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
@@ -1266,7 +1249,7 @@
        "(26, 3, 121, 2, 2)"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1284,7 +1267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 42,
    "metadata": {
     "collapsed": false
    },
@@ -1295,7 +1278,7 @@
        "37752"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1313,7 +1296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
@@ -1324,7 +1307,7 @@
        "302016"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1344,7 +1327,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 44,
    "metadata": {
     "collapsed": false
    },
@@ -1362,7 +1345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
@@ -1401,7 +1384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
@@ -1412,7 +1395,7 @@
        "4813"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1431,7 +1414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
@@ -1449,7 +1432,7 @@
        "    2016 | 4814 | 4792 | 4740"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1462,7 +1445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 48,
    "metadata": {
     "collapsed": false
    },
@@ -1480,7 +1463,7 @@
        "    2016 | 4814 | 4792 | 4740"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1494,7 +1477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 49,
    "metadata": {
     "collapsed": false
    },
@@ -1509,7 +1492,7 @@
        "    2016 | 4814 | 4792 | 4740"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1522,7 +1505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 50,
    "metadata": {
     "collapsed": false
    },
@@ -1537,7 +1520,7 @@
        "    2015 | 4813 | 4767 | 4676"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1558,7 +1541,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 51,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1574,7 +1557,7 @@
        "    2015 | 4813 | 4767 | 4676"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1599,7 +1582,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 52,
    "metadata": {
     "collapsed": false,
     "raw_mimetype": "text/restructuredtext"
@@ -1628,7 +1611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 53,
    "metadata": {
     "collapsed": false
    },
@@ -1650,7 +1633,7 @@
        " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1681,7 +1664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 54,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1704,7 +1687,7 @@
        " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1743,7 +1726,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 55,
    "metadata": {
     "collapsed": false
    },
@@ -1757,7 +1740,7 @@
        "    1993 | 3648 | 3335 | 3615"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1770,7 +1753,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false
    },
@@ -1784,7 +1767,7 @@
        "    2016 | 4814 | 4792 | 4740"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1796,7 +1779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false
    },
@@ -1811,7 +1794,7 @@
        "    2015 | 4813 | 4767 | 4676"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1834,7 +1817,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false
    },
@@ -1846,7 +1829,7 @@
        "    | 6020 | 5882 | 6023 | 5861"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1858,7 +1841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false
    },
@@ -1870,7 +1853,7 @@
        "    | 6020 | 5882 | 6023"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1889,7 +1872,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false
    },
@@ -1918,7 +1901,7 @@
        "   Wal |   2 |       F | 18189 | 1358"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1954,7 +1937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 61,
    "metadata": {
     "collapsed": false
    },
@@ -1977,7 +1960,7 @@
        "105 |       F |  2 |  2"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1991,7 +1974,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 62,
    "metadata": {
     "collapsed": false
    },
@@ -2014,7 +1997,7 @@
        "105 |       F |  0 |  0"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2046,7 +2029,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 63,
    "metadata": {
     "collapsed": false
    },
@@ -2069,7 +2052,7 @@
        "105 |       F |  0 |  0"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2081,7 +2064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 64,
    "metadata": {
     "collapsed": false
    },
@@ -2104,7 +2087,7 @@
        "105 |       F |  0 |  0"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2120,7 +2103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 65,
    "metadata": {
     "collapsed": false
    },
@@ -2143,7 +2126,7 @@
        "105 |       F |  2 |  2"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2171,7 +2154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 66,
    "metadata": {
     "collapsed": false
    },
@@ -2184,7 +2167,7 @@
        "      F |  2 | -2"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2196,7 +2179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 67,
    "metadata": {
     "collapsed": false
    },
@@ -2219,7 +2202,7 @@
        "105 |       F |  2 | -2"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2245,7 +2228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 68,
    "metadata": {
     "collapsed": false
    },
@@ -2262,7 +2245,7 @@
        "   2 |       F | 0.0 | 0.0"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2275,7 +2258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 69,
    "metadata": {
     "collapsed": false
    },
@@ -2296,7 +2279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 70,
    "metadata": {
     "collapsed": false
    },
@@ -2319,7 +2302,7 @@
        "105 |       F |  2 | -2"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2346,7 +2329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 71,
    "metadata": {
     "collapsed": false
    },
@@ -2368,7 +2351,7 @@
        "       10,F | 5200 | 1785"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2395,7 +2378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 72,
    "metadata": {
     "collapsed": false
    },
@@ -2408,7 +2391,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2427,7 +2410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 73,
    "metadata": {
     "collapsed": false
    },
@@ -2455,7 +2438,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 74,
    "metadata": {
     "collapsed": false
    },
@@ -2487,7 +2470,7 @@
        "     20 |    0 |    0"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2500,7 +2483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 75,
    "metadata": {
     "collapsed": false
    },
@@ -2511,7 +2494,7 @@
        "0.14618110657051941"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2530,7 +2513,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 76,
    "metadata": {
     "collapsed": false
    },
@@ -2542,7 +2525,7 @@
        "    | 5 | 10"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2554,7 +2537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 77,
    "metadata": {
     "collapsed": false
    },
@@ -2586,7 +2569,7 @@
        "     20 | False | False"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2598,7 +2581,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 78,
    "metadata": {
     "collapsed": false
    },
@@ -2609,7 +2592,7 @@
        "0.14618110657051941"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2629,7 +2612,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 79,
    "metadata": {
     "collapsed": false
    },
@@ -2661,7 +2644,7 @@
        "    110 |    0 |   0"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2674,7 +2657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 80,
    "metadata": {
     "collapsed": false
    },
@@ -2706,7 +2689,7 @@
        "    110 |    0 |   0"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2726,7 +2709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 81,
    "metadata": {
     "collapsed": false
    },
@@ -2749,7 +2732,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2776,7 +2759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 82,
    "metadata": {
     "collapsed": false
    },
@@ -2799,7 +2782,7 @@
        " 95 |   Women |  566 |  53"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2812,7 +2795,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 83,
    "metadata": {
     "collapsed": false
    },
@@ -2835,7 +2818,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2862,7 +2845,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 84,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6 x 2 x 2\n",
+       " age [6]: 90 91 92 93 94 95\n",
+       " sex [2]: 'M' 'F'\n",
+       " nat [2]: 'BE' 'FO'"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
    "metadata": {
     "collapsed": false
    },
@@ -2885,7 +2893,7 @@
        " 95 |          F |  566 |  53"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2905,7 +2913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 86,
    "metadata": {
     "collapsed": false
    },
@@ -2928,7 +2936,7 @@
        " 95 |                  F |  566 |  53"
       ]
      },
-     "execution_count": 100,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2955,7 +2963,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 87,
    "metadata": {
     "collapsed": false
    },
@@ -2978,7 +2986,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 101,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2990,7 +2998,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 88,
    "metadata": {
     "collapsed": false
    },
@@ -3005,7 +3013,7 @@
        " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3020,7 +3028,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 89,
    "metadata": {
     "collapsed": false
    },
@@ -3043,7 +3051,7 @@
        " 95 |      FO |  19 |   53"
       ]
      },
-     "execution_count": 103,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3055,7 +3063,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 90,
    "metadata": {
     "collapsed": false
    },
@@ -3078,7 +3086,7 @@
        "  F |      95 |  566 |  53"
       ]
      },
-     "execution_count": 104,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3104,7 +3112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 91,
    "metadata": {
     "collapsed": false
    },
@@ -3117,7 +3125,7 @@
        "      F | 401554 | 206541"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3136,7 +3144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 92,
    "metadata": {
     "collapsed": false
    },
@@ -3148,7 +3156,7 @@
        "    | 2226 | 1951 | 1586 | 1294 | 1064 | 792"
       ]
      },
-     "execution_count": 106,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3189,7 +3197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 93,
    "metadata": {
     "collapsed": false
    },
@@ -3197,10 +3205,10 @@
     {
      "data": {
       "text/plain": [
-       "LGroup([30, 55, 52, 25, 99], axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]))"
+       "age[30, 55, 52, 25, 99]"
       ]
      },
-     "execution_count": 110,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3226,7 +3234,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 94,
    "metadata": {
     "collapsed": false
    },
@@ -3234,10 +3242,10 @@
     {
      "data": {
       "text/plain": [
-       "LGroup(slice(67, None, None), name='pensioners', axis=Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120]))"
+       "age[67:] >> 'pensioners'"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3261,7 +3269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 95,
    "metadata": {
     "collapsed": false
    },
@@ -3282,7 +3290,7 @@
        " 99 |       F |   92 |    8"
       ]
      },
-     "execution_count": 112,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3300,7 +3308,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 96,
    "metadata": {
     "collapsed": false
    },
@@ -3313,7 +3321,7 @@
        "      F | 70314 | 13241"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3324,7 +3332,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 97,
    "metadata": {
     "collapsed": false
    },
@@ -3337,11 +3345,11 @@
        "      children |       F | 47226 | 16523\n",
        "    pensioners |       M | 44138 |  9939\n",
        "    pensioners |       F | 70314 | 13241\n",
-       "age[30 ... 99] |       M | 19867 | 13153\n",
-       "age[30 ... 99] |       F | 20577 | 14454"
+       "30,55,52,25,99 |       M | 19867 | 13153\n",
+       "30,55,52,25,99 |       F | 20577 | 14454"
       ]
      },
-     "execution_count": 114,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3353,7 +3361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 98,
    "metadata": {
     "collapsed": false
    },
@@ -3364,10 +3372,10 @@
        "       age\\sex |     M |     F\n",
        "      children | 66243 | 63749\n",
        "    pensioners | 54077 | 83555\n",
-       "age[30 ... 99] | 33020 | 35031"
+       "30,55,52,25,99 | 33020 | 35031"
       ]
      },
-     "execution_count": 118,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3386,7 +3394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 99,
    "metadata": {
     "collapsed": false
    },
@@ -3409,7 +3417,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 119,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3436,7 +3444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 100,
    "metadata": {
     "collapsed": false
    },
@@ -3459,7 +3467,7 @@
        " 95 |       F |  766 | 253"
       ]
      },
-     "execution_count": 120,
+     "execution_count": 100,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3471,7 +3479,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 101,
    "metadata": {
     "collapsed": false
    },
@@ -3494,7 +3502,7 @@
        " 95 |       F | 1132 | 106"
       ]
      },
-     "execution_count": 121,
+     "execution_count": 101,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3506,7 +3514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 102,
    "metadata": {
     "collapsed": false
    },
@@ -3529,7 +3537,7 @@
        " 95 |       F |  320356 |  2809"
       ]
      },
-     "execution_count": 122,
+     "execution_count": 102,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3541,7 +3549,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 103,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -3565,7 +3573,7 @@
        " 95 |       F |  6 |  3"
       ]
      },
-     "execution_count": 123,
+     "execution_count": 103,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3584,7 +3592,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 104,
    "metadata": {
     "collapsed": false
    },
@@ -3607,7 +3615,7 @@
        " 95 |       F |              130.0 | 12.000000000000004"
       ]
      },
-     "execution_count": 124,
+     "execution_count": 104,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3634,7 +3642,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 105,
    "metadata": {
     "collapsed": false
    },
@@ -3657,7 +3665,7 @@
        " 95 |       F | 130 | 12"
       ]
      },
-     "execution_count": 125,
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3678,7 +3686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 106,
    "metadata": {
     "collapsed": false
    },
@@ -3708,7 +3716,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 107,
    "metadata": {
     "collapsed": false
    },
@@ -3725,7 +3733,7 @@
        " 92 |       F | 262.06713780918733 |  17.66037735849057"
       ]
      },
-     "execution_count": 127,
+     "execution_count": 107,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3743,7 +3751,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 108,
    "metadata": {
     "collapsed": false
    },
@@ -3766,7 +3774,7 @@
        " 95 |       F |  -566 |  -53"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 108,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3779,7 +3787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 109,
    "metadata": {
     "collapsed": false
    },
@@ -3802,7 +3810,7 @@
        " 95 |       F | False | False"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 109,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3814,7 +3822,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 110,
    "metadata": {
     "collapsed": false
    },
@@ -3837,7 +3845,7 @@
        " 95 |       F |  True |  True"
       ]
      },
-     "execution_count": 130,
+     "execution_count": 110,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3849,7 +3857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 111,
    "metadata": {
     "collapsed": false
    },
@@ -3872,7 +3880,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 111,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3884,7 +3892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 112,
    "metadata": {
     "collapsed": false
    },
@@ -3907,7 +3915,7 @@
        " 95 |       F |  True | False"
       ]
      },
-     "execution_count": 132,
+     "execution_count": 112,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3919,7 +3927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 113,
    "metadata": {
     "collapsed": false
    },
@@ -3942,7 +3950,7 @@
        " 95 |       F | False | True"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 113,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3961,7 +3969,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 114,
    "metadata": {
     "collapsed": false
    },
@@ -3974,7 +3982,7 @@
        "      F | 6127 | 511"
       ]
      },
-     "execution_count": 134,
+     "execution_count": 114,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3985,7 +3993,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 115,
    "metadata": {
     "collapsed": false
    },
@@ -3999,7 +4007,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 135,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4011,7 +4019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 116,
    "metadata": {
     "collapsed": false
    },
@@ -4024,7 +4032,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 136,
+     "execution_count": 116,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4036,7 +4044,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 117,
    "metadata": {
     "collapsed": false
    },
@@ -4059,7 +4067,7 @@
        " 95 |       F | 0.09237799902072792 | 0.10371819960861056"
       ]
      },
-     "execution_count": 137,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4085,7 +4093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 118,
    "metadata": {
     "collapsed": false
    },
@@ -4108,7 +4116,7 @@
        " 95 |       F |  566 |  53"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 118,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4119,7 +4127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 119,
    "metadata": {
     "collapsed": false
    },
@@ -4134,7 +4142,7 @@
        " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 119,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4147,7 +4155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 120,
    "metadata": {
     "collapsed": false
    },
@@ -4162,7 +4170,7 @@
        " FO |       F |  272 |  210 |  156 |  148 |  130 |  106"
       ]
      },
-     "execution_count": 142,
+     "execution_count": 120,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4195,7 +4203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 121,
    "metadata": {
     "collapsed": false
    },
@@ -4218,7 +4226,7 @@
        " 95 |       F |  566 |  53 |  19"
       ]
      },
-     "execution_count": 143,
+     "execution_count": 121,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4237,7 +4245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 122,
    "metadata": {
     "collapsed": false
    },
@@ -4266,7 +4274,7 @@
        " 95 |       F |  566 |  53 |  19"
       ]
      },
-     "execution_count": 144,
+     "execution_count": 122,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4286,7 +4294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 123,
    "metadata": {
     "collapsed": false
    },
@@ -4298,7 +4306,7 @@
        "    | 0.0 | 0.0 | 0.0"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 123,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4310,7 +4318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 124,
    "metadata": {
     "collapsed": false
    },
@@ -4339,7 +4347,7 @@
        " 95 |       F |  566 |  53 |  19 |  0"
       ]
      },
-     "execution_count": 146,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4365,7 +4373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 125,
    "metadata": {
     "collapsed": false
    },
@@ -4398,7 +4406,7 @@
        "100 |       F |   60 |   3"
       ]
      },
-     "execution_count": 147,
+     "execution_count": 125,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4427,7 +4435,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 126,
    "metadata": {
     "collapsed": false
    },
@@ -4450,7 +4458,7 @@
        " 95 |       F |  566 |  53 |  19"
       ]
      },
-     "execution_count": 148,
+     "execution_count": 126,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4485,7 +4493,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 127,
    "metadata": {
     "collapsed": false
    },
@@ -4508,7 +4516,7 @@
        " 95 |       F |  566 |  53 |  19"
       ]
      },
-     "execution_count": 149,
+     "execution_count": 127,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4527,7 +4535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 128,
    "metadata": {
     "collapsed": false
    },
@@ -4550,7 +4558,7 @@
        " 95 |       1 |  F |  F |   F"
       ]
      },
-     "execution_count": 150,
+     "execution_count": 128,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4568,7 +4576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 129,
    "metadata": {
     "collapsed": false
    },
@@ -4591,7 +4599,7 @@
        " 95 |       F |  19 |  53 |  566"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 129,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4616,7 +4624,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 130,
    "metadata": {
     "collapsed": false
    },
@@ -4624,18 +4632,18 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x235eff9a6a0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x150ade3a588>"
       ]
      },
-     "execution_count": 152,
+     "execution_count": 130,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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ppVTm0sTBYZGNrVJJHPLztRFUKh59FN56y+solFIqN2ji4LDKSujVC7p2Te3xgYAmDsnY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pQpj74+mFEEKIGis5OZnu3bvj6enJ9OnTyc/PZ/78+QQHB7Nt2zZatmxZ1DYzM5Pu3btT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FAI7r0XHn3U9ji99JJdj6Y5VVVtJTv7XCyriqysD0hJObnRfu8VFnLxhg1M6tKFucOG4Wrkxp9Y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\nFrpfx3+aP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g4lhmWwtWhrAxDZFbD/0ByagyFdhzQAkYyUjBa/ZFparK5m6dGj6ZogwW/j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\nCwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x235eff9f358>"
+       "<matplotlib.figure.Figure at 0x150ade3a240>"
       ]
      },
      "metadata": {},
@@ -4648,7 +4656,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 131,
    "metadata": {
     "collapsed": false
    },
@@ -4656,18 +4664,18 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x235ef8874e0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x150adb4e7f0>"
       ]
      },
-     "execution_count": 153,
+     "execution_count": 131,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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pli5dGkKFwVCwKIPkZOjZ0/dcfPst/PijDxQpKXDTTdC+Pey7LwwfDrNmwebNu39NERGJ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\nIiIiEhgFCxEREQmMgoWIiIgE5v8DD3O/eujAwa8AAAAASUVORK5CYII=\n",
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yT12987U1ANiHnp0SD2wARt5uoOXL696N9u2hWzdYteq271EIIYQoNikpKYSFhWE2m3F3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\nlefTfp8yOmE0j6x6hMNnDzP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YmldK8XzI88ztPpe5O+bS46MenM8q3DLyDzygt7RPStKr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EAAAF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\nHABAO4EDAGgncAAA7QQOAKCdwAEAtPsCqJHJtrxkqhcAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x235ef484be0>"
+       "<matplotlib.figure.Figure at 0x150adfe2208>"
       ]
      },
      "metadata": {},
@@ -4688,7 +4696,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 132,
    "metadata": {
     "collapsed": false
    },
@@ -4711,7 +4719,7 @@
        "105 |       F |  2 |  2"
       ]
      },
-     "execution_count": 154,
+     "execution_count": 132,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4738,7 +4746,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 133,
    "metadata": {
     "collapsed": false
    },
@@ -4767,7 +4775,7 @@
        "105 |       B |  2 |  2"
       ]
      },
-     "execution_count": 155,
+     "execution_count": 133,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4785,7 +4793,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 134,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -4818,7 +4826,7 @@
        "total |   total | 221 | 17 |   238"
       ]
      },
-     "execution_count": 156,
+     "execution_count": 134,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4844,7 +4852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 135,
    "metadata": {
     "collapsed": false
    },
@@ -4867,7 +4875,7 @@
        "105 |       F |   0 |  0"
       ]
      },
-     "execution_count": 157,
+     "execution_count": 135,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4893,7 +4901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 136,
    "metadata": {
     "collapsed": false
    },
@@ -4916,7 +4924,7 @@
        "105 |       F | 10 | 10"
       ]
      },
-     "execution_count": 158,
+     "execution_count": 136,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4943,11 +4951,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 159,
+   "execution_count": 137,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\ald\\Miniconda3\\lib\\site-packages\\larray\\core.py:7980: RuntimeWarning: divide by zero encountered in true_divide\n",
+      "  return LArray(super_method(self.data, other), res_axes)\n",
+      "C:\\Users\\ald\\Miniconda3\\lib\\site-packages\\larray\\core.py:7980: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  return LArray(super_method(self.data, other), res_axes)\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
@@ -4960,7 +4978,7 @@
        "    105 | nan |  1.0"
       ]
      },
-     "execution_count": 159,
+     "execution_count": 137,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4971,7 +4989,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
+   "execution_count": 138,
    "metadata": {
     "collapsed": false
    },
@@ -4988,7 +5006,7 @@
        "    105 | 0.0 |  1.0"
       ]
      },
-     "execution_count": 160,
+     "execution_count": 138,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5017,7 +5035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 139,
    "metadata": {
     "collapsed": false
    },
@@ -5050,7 +5068,7 @@
        "2015 |       F | 4813 | 2498"
       ]
      },
-     "execution_count": 161,
+     "execution_count": 139,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5062,7 +5080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
+   "execution_count": 140,
    "metadata": {
     "collapsed": false
    },
@@ -5093,7 +5111,7 @@
        "2015 |       F |   25 | 149"
       ]
      },
-     "execution_count": 162,
+     "execution_count": 140,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5105,7 +5123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
+   "execution_count": 141,
    "metadata": {
     "collapsed": false
    },
@@ -5134,7 +5152,7 @@
        "2015 |       F |  102 | 244"
       ]
      },
-     "execution_count": 163,
+     "execution_count": 141,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5153,9 +5171,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 142,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "scrolled": true
    },
    "outputs": [
     {
@@ -5186,7 +5205,7 @@
        "2015 |       F | 0.6583230748187663 | 0.34167692518123377"
       ]
      },
-     "execution_count": 164,
+     "execution_count": 142,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5207,7 +5226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 143,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -5241,7 +5260,7 @@
        "2015 |       F |  65.83230748187663 | 34.167692518123374"
       ]
      },
-     "execution_count": 165,
+     "execution_count": 143,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5269,7 +5288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 144,
    "metadata": {
     "collapsed": false
    },
@@ -5300,7 +5319,7 @@
        "2015 |       F | 0.0052213868003341685 |    0.06343124733929331"
       ]
      },
-     "execution_count": 166,
+     "execution_count": 144,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5325,7 +5344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 145,
    "metadata": {
     "collapsed": false
    },
@@ -5356,7 +5375,7 @@
        "2015 |       F | 4788 | 2349"
       ]
      },
-     "execution_count": 167,
+     "execution_count": 145,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5367,7 +5386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 146,
    "metadata": {
     "collapsed": false
    },
@@ -5398,7 +5417,7 @@
        "    9 |       F | True | True"
       ]
      },
-     "execution_count": 168,
+     "execution_count": 146,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5410,7 +5429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 147,
    "metadata": {
     "collapsed": false
    },
@@ -5441,7 +5460,7 @@
        "2015 |       F |   25 | 149"
       ]
      },
-     "execution_count": 169,
+     "execution_count": 147,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5488,7 +5507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 148,
    "metadata": {
     "collapsed": false
    },
@@ -5499,7 +5518,7 @@
        "Session(household, pop, mortality)"
       ]
      },
-     "execution_count": 170,
+     "execution_count": 148,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5528,7 +5547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 149,
    "metadata": {
     "collapsed": false
    },
@@ -5540,7 +5559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 150,
    "metadata": {
     "collapsed": true
    },
@@ -5552,7 +5571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
+   "execution_count": 151,
    "metadata": {
     "collapsed": false
    },
@@ -5560,10 +5579,10 @@
     {
      "data": {
       "text/plain": [
-       "Session(household, mortality, pop)"
+       "Session(pop, household, mortality)"
       ]
      },
-     "execution_count": 173,
+     "execution_count": 151,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5576,7 +5595,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 152,
    "metadata": {
     "collapsed": false
    },
@@ -5585,7 +5604,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<class 'ValueError'> total size of new array must be unchanged\n"
+      "<class 'Exception'> cannot handle a non-unique multi-index!\n"
      ]
     }
    ],
@@ -5604,7 +5623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
+   "execution_count": 153,
    "metadata": {
     "collapsed": false
    },
@@ -5616,7 +5635,7 @@
        "     |      True | True |      True"
       ]
      },
-     "execution_count": 175,
+     "execution_count": 153,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5627,7 +5646,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 154,
    "metadata": {
     "collapsed": false
    },
@@ -5639,7 +5658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 155,
    "metadata": {
     "collapsed": false
    },
@@ -5651,7 +5670,7 @@
        "     |      True | False |      True"
       ]
      },
-     "execution_count": 177,
+     "execution_count": 155,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5662,7 +5681,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 156,
    "metadata": {
     "collapsed": false
    },
@@ -5673,7 +5692,7 @@
        "Session(pop)"
       ]
      },
-     "execution_count": 178,
+     "execution_count": 156,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5685,7 +5704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 157,
    "metadata": {
     "collapsed": false
    },
@@ -5696,7 +5715,7 @@
        "Session(pop)"
       ]
      },
-     "execution_count": 179,
+     "execution_count": 157,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5715,7 +5734,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 180,
+   "execution_count": 158,
    "metadata": {
     "collapsed": false
    },

From 5f5510eede2465486c68965363afd53308342699 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 3 Apr 2017 14:47:45 +0200
Subject: [PATCH 455/899] fix #172 : (documentation) add ufuncs in api.rst in
 subsection Miscellaneous of LArray

---
 doc/source/api.rst | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 088178b8b..ed4d951ae 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -341,6 +341,17 @@ Miscellaneous
    LArray.shift
    LArray.diff
    LArray.to_clipboard
+   round
+   floor
+   ceil
+   trunc
+   sqrt
+   absolute
+   fabs
+   where
+   isnan
+   isinf
+   nan_to_num
 
 .. _la_to_pandas:
 

From 3648f48a21bb53b4a4401cb52176bbfc35b3da78 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 4 Apr 2017 11:02:36 +0200
Subject: [PATCH 456/899] fix #169 : (documentation) updated docstring of plot
 method

---
 larray/core.py | 115 ++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 113 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 20e0b2f41..6ae142a95 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8890,10 +8890,121 @@ def plot(self):
         The graph can be tweaked to achieve the desired formatting and can be
         saved to a .png file.
 
+        Parameters
+        ----------
+        kind : str
+            - 'line' : line plot (default)
+            - 'bar' : vertical bar plot
+            - 'barh' : horizontal bar plot
+            - 'hist' : histogram
+            - 'box' : boxplot
+            - 'kde' : Kernel Density Estimation plot
+            - 'density' : same as 'kde'
+            - 'area' : area plot
+            - 'pie' : pie plot
+            - 'scatter' : scatter plot (if array's dimensions >= 2)
+            - 'hexbin' : hexbin plot (if array's dimensions >= 2)
+        ax : matplotlib axes object, default None
+        subplots : boolean, default False
+            Make separate subplots for each column
+        sharex : boolean, default True if ax is None else False
+            In case subplots=True, share x axis and set some x axis labels to invisible;
+            defaults to True if ax is None otherwise False if an ax is passed in;
+            Be aware, that passing in both an ax and sharex=True will alter all x axis labels
+            for all axis in a figure!
+        sharey : boolean, default False
+            In case subplots=True, share y axis and set some y axis labels to invisible
+        layout : tuple (optional)
+            (rows, columns) for the layout of subplots
+        figsize : a tuple (width, height) in inches
+        use_index : boolean, default True
+            Use index as ticks for x axis
+        title : string
+            Title to use for the plot
+        grid : boolean, default None (matlab style default)
+            Axis grid lines
+        legend : False/True/'reverse'
+            Place legend on axis subplots
+        style : list or dict
+            matplotlib line style per column
+        logx : boolean, default False
+            Use log scaling on x axis
+        logy : boolean, default False
+            Use log scaling on y axis
+        loglog : boolean, default False
+            Use log scaling on both x and y axes
+        xticks : sequence
+            Values to use for the xticks
+        yticks : sequence
+            Values to use for the yticks
+        xlim : 2-tuple/list
+        ylim : 2-tuple/list
+        rot : int, default None
+            Rotation for ticks (xticks for vertical, yticks for horizontal plots)
+        fontsize : int, default None
+            Font size for xticks and yticks
+        colormap : str or matplotlib colormap object, default None
+            Colormap to select colors from. If string, load colormap with that name
+            from matplotlib.
+        colorbar : boolean, optional
+            If True, plot colorbar (only relevant for 'scatter' and 'hexbin' plots)
+        position : float
+            Specify relative alignments for bar plot layout.
+            From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)
+        layout : tuple (optional)
+            (rows, columns) for the layout of the plot
+        yerr : array-like
+            Error bars on y axis
+        xerr : array-like
+            Error bars on x axis
+        stacked : boolean, default False in line and bar plots, and True in area plot.
+            If True, create stacked plot.
+        \**kwargs : keywords
+            Options to pass to matplotlib plotting method
+
+        Returns
+        -------
+        axes : matplotlib.AxesSubplot or np.array of them
+
+        Notes
+        -----
+        See Pandas documentation of `plot` function for more details on this subject
+
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
-        >>> a.plot()  # doctest: +SKIP
+        >>> import matplotlib.pyplot as plt # doctest: +SKIP
+        >>> a = ndrange('sex=M,F;age=0..20')
+
+        Simple line plot
+
+        >>> a.plot() # doctest: +SKIP
+        >>> # shows figure (reset the current figure after showing it! Do not call it before savefig)
+        >>> plt.show() # doctest: +SKIP
+
+        Line plot with grid, title and both axes in logscale
+
+        >>> a.plot(grid=True, loglog=True, title='line plot') # doctest: +SKIP
+        >>> # saves figure in a file (see matplotlib.pyplot.savefig documentation for more details)
+        >>> plt.savefig('my_file.png') # doctest: +SKIP
+
+        2 bar plots sharing the same x axis (one for males and one for females)
+
+        >>> a.plot.bar(subplots=True, sharex=True) # doctest: +SKIP
+        >>> plt.show() # doctest: +SKIP
+
+        Create a figure containing 2 x 2 graphs
+
+        >>> # see matplotlib.pyplot.subplots documentation for more details
+        >>> fig, ax = plt.subplots(2, 2, figsize=(15, 15)) # doctest: +SKIP
+        >>> # 2 curves : Males and Females
+        >>> a.plot(ax=ax[0, 0], title='line plot') # doctest: +SKIP
+        >>> # bar plot with stacked values
+        >>> a.plot.bar(ax=ax[0, 1], stacked=True, title='stacked bar plot') # doctest: +SKIP
+        >>> # same as previously but with colored areas instead of bars
+        >>> a.plot.area(ax=ax[1, 0], title='area plot') # doctest: +SKIP
+        >>> # scatter plot
+        >>> a.plot.scatter(ax=ax[1, 1], x='M', y='F', title='scatter plot') # doctest: +SKIP
+        >>> plt.show() # doctest: +SKIP
         """
         combined = self.combine_axes(self.axes[:-1], sep=' ') if self.ndim > 2 else self
         if combined.ndim == 1:

From 72233ce5f1e3e6528d724f10a5d3caf9a37dfe2a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 4 Apr 2017 13:24:06 +0200
Subject: [PATCH 457/899] moved example data files to tests/data/

---
 {doc/source/notebooks => larray/tests/data}/data.h5 | Bin
 .../notebooks => larray/tests/data}/data.xlsx       | Bin
 {doc/source/notebooks => larray/tests/data}/hh.csv  |   0
 {doc/source/notebooks => larray/tests/data}/pop.csv |   0
 {doc/source/notebooks => larray/tests/data}/qx.csv  |   0
 5 files changed, 0 insertions(+), 0 deletions(-)
 rename {doc/source/notebooks => larray/tests/data}/data.h5 (100%)
 rename {doc/source/notebooks => larray/tests/data}/data.xlsx (100%)
 rename {doc/source/notebooks => larray/tests/data}/hh.csv (100%)
 rename {doc/source/notebooks => larray/tests/data}/pop.csv (100%)
 rename {doc/source/notebooks => larray/tests/data}/qx.csv (100%)

diff --git a/doc/source/notebooks/data.h5 b/larray/tests/data/data.h5
similarity index 100%
rename from doc/source/notebooks/data.h5
rename to larray/tests/data/data.h5
diff --git a/doc/source/notebooks/data.xlsx b/larray/tests/data/data.xlsx
similarity index 100%
rename from doc/source/notebooks/data.xlsx
rename to larray/tests/data/data.xlsx
diff --git a/doc/source/notebooks/hh.csv b/larray/tests/data/hh.csv
similarity index 100%
rename from doc/source/notebooks/hh.csv
rename to larray/tests/data/hh.csv
diff --git a/doc/source/notebooks/pop.csv b/larray/tests/data/pop.csv
similarity index 100%
rename from doc/source/notebooks/pop.csv
rename to larray/tests/data/pop.csv
diff --git a/doc/source/notebooks/qx.csv b/larray/tests/data/qx.csv
similarity index 100%
rename from doc/source/notebooks/qx.csv
rename to larray/tests/data/qx.csv

From 513c44fc067d47ca76fc529f674ed3a4d114288f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 4 Apr 2017 13:41:49 +0200
Subject: [PATCH 458/899] fix #170 : (documentation) add load_example_data
 function to allow users to reproduce all examples of the tutorial

---
 larray/__init__.py |  1 +
 larray/example.py  | 49 ++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 50 insertions(+)
 create mode 100644 larray/example.py

diff --git a/larray/__init__.py b/larray/__init__.py
index d617d3f8c..047e66214 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -5,6 +5,7 @@
 from larray.ufuncs import *
 from larray.excel import open_excel
 from larray.ipfp import ipfp
+from larray.example import load_example_data
 
 try:
     from larray.viewer import view, edit, compare
diff --git a/larray/example.py b/larray/example.py
new file mode 100644
index 000000000..d2fc0d225
--- /dev/null
+++ b/larray/example.py
@@ -0,0 +1,49 @@
+import os
+import larray as la
+
+EXAMPLE_FILES_DIR = os.path.dirname(__file__) + '/tests/data/'
+AVAILABLE_EXAMPLE_DATA = {
+    'demography' : EXAMPLE_FILES_DIR + 'data.h5'
+}
+
+def load_example_data(name):
+    """Load arrays used in the tutorial so that all examples in it can be reproduced.
+
+    Parameters
+    ----------
+    example_data : str
+        Example data to load. Available example datasets are:
+        -{}
+
+    Returns
+    -------
+    Session
+        Session containing one or several arrays
+
+    Examples
+    --------
+    >>> demo = load_example_data('demography')
+    >>> demo.pop.info # doctest: +SKIP
+    26 x 3 x 121 x 2 x 2
+     time [26]: 1991 1992 1993 ... 2014 2015 2016
+     geo [3]: 'BruCap' 'Fla' 'Wal'
+     age [121]: 0 1 2 ... 118 119 120
+     sex [2]: 'M' 'F'
+     nat [2]: 'BE' 'FO'
+    >>> demo.qx.info # doctest: +SKIP
+    26 x 3 x 121 x 2 x 2
+     time [26]: 1991 1992 1993 ... 2014 2015 2016
+     geo [3]: 'BruCap' 'Fla' 'Wal'
+     age [121]: 0 1 2 ... 118 119 120
+     sex [2]: 'M' 'F'
+     nat [2]: 'BE' 'FO'
+    """.format('\n- '.join(AVAILABLE_EXAMPLE_DATA.keys()))
+
+    if name is None:
+        name = 'demography'
+    if not isinstance(name, str):
+        raise TypeError("Expected string for argument example_data")
+    if name not in AVAILABLE_EXAMPLE_DATA.keys():
+        raise ValueError("example_data must be chosen "
+                         "from list {}".format(list(AVAILABLE_EXAMPLE_DATA.keys())))
+    return la.Session(AVAILABLE_EXAMPLE_DATA[name])

From 9f797735e1cf1568912561ae6ddcb75f873cd5e2 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 5 Apr 2017 14:14:33 +0200
Subject: [PATCH 459/899] (documentation) updated api.rst (load_example_data)

---
 doc/source/api.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index ed4d951ae..b3d07ed27 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -415,6 +415,7 @@ Miscellaneous
    diag
    eye
    ipfp
+   load_example_data
 
 Session
 =======

From d87a8a02ae2195e464223e39edcac4f66489587d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 7 Apr 2017 12:23:40 +0200
Subject: [PATCH 460/899] added sanity checks in set_axes() (when inplace=True)

---
 larray/core.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 6ae142a95..819808940 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4263,6 +4263,13 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             for old, new in items:
                 axes = axes.replace(old, new)
         if inplace:
+            if axes.ndim != self.ndim:
+                raise ValueError("number of axes (%d) does not match "
+                                 "number of dimensions of data (%d)"
+                                 % (axes.ndim, self.ndim))
+            if axes.shape != self.data.shape:
+                raise ValueError("length of axes %s does not match "
+                                 "data shape %s" % (axes.shape, self.data.shape))
             object.__setattr__(self, 'axes', axes)
             return self
         else:

From f0e9a91da88349f78ed8d733ab1cdf58a92546f9 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 14 Feb 2017 16:50:52 +0100
Subject: [PATCH 461/899] fix #18 : implement reindex method

---
 doc/source/changes/version_0_22.rst.inc |   2 +
 larray/core.py                          | 235 ++++++++++++++++++------
 larray/tests/test_la.py                 |  16 +-
 3 files changed, 191 insertions(+), 62 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index f04717144..7a7ab2bde 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -76,6 +76,8 @@
 
   even if this could suffer, to a lesser extent, the same problem as above when stacking many arrays.
 
+* updated AxisCollection.replace so as to replace one, several or all axes.
+
 * added another feature (see the :ref:`miscellaneous section <misc>` for details).
 
 .. _misc:
diff --git a/larray/core.py b/larray/core.py
index 819808940..e3dfa534a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3062,37 +3062,96 @@ def copy(self):
         """
         return self[:]
 
-    def replace(self, old, new):
-        """
-        Replaces an axis.
+    def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
+        """Replace one, several or all axes of the collection.
 
         Parameters
         ----------
-        old : Axis or list of Axis
-            Axis or axes to be replaced.
-        new : Axis or list of Axis
-            Axis or axes to be put in place of the `old` axis.
+        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+                          or list of Axis or AxisCollection
+            Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
+            If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
+            In that case, the number of new axes must match the number of the old ones.
+        new_axis : Axis
+            New axis if `axes_to_replace` contains a single axis reference.
+        inplace : bool
+            Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
+        **kwargs : Axis
+            New axis for each axis to replace given as a keyword argument.
 
         Returns
         -------
         AxisCollection
-            New collection with old axes replaced by the new one(s).
+            AxisCollection with axes replaced.
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> age_new = Axis('age', range(10))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> col = AxisCollection([age, sex])
-        >>> col.replace(age, age_new)
+        >>> axes = ndtest((2, 3)).axes
+        >>> axes
+        AxisCollection([
+            Axis('a', ['a0', 'a1']),
+            Axis('b', ['b0', 'b1', 'b2'])
+        ])
+        >>> row = Axis('row', ['r0', 'r1'])
+        >>> column = Axis('column', ['c0', 'c1', 'c2'])
+
+        Replace one axis (second argument `new_axis` must be provided)
+
+        >>> axes.replace(x.a, row)
+        AxisCollection([
+            Axis('row', ['r0', 'r1']),
+            Axis('b', ['b0', 'b1', 'b2'])
+        ])
+
+        Replace several axes (keywords, list of tuple or dictionary)
+
+        >>> axes.replace(a=row, b=column) # doctest: +SKIP
+        >>> # or
+        >>> axes.replace([(x.a, row), (x.b, column)]) # doctest: +SKIP
+        >>> # or
+        >>> axes.replace({x.a: row, x.b: column})
+        AxisCollection([
+            Axis('row', ['r0', 'r1']),
+            Axis('column', ['c0', 'c1', 'c2'])
+        ])
+
+        Replace all axes (list of axes or AxisCollection)
+
+        >>> axes.replace([row, column])
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
-            Axis('sex', ['M', 'F'])
+            Axis('row', ['r0', 'r1']),
+            Axis('column', ['c0', 'c1', 'c2'])
+        ])
+        >>> arr = ndrange([row, column])
+        >>> axes.replace(arr.axes)
+        AxisCollection([
+            Axis('row', ['r0', 'r1']),
+            Axis('column', ['c0', 'c1', 'c2'])
         ])
         """
-        res = self[:]
-        res[old] = new
-        return res
+        if isinstance(axes_to_replace, (list, AxisCollection)) and \
+                all([isinstance(axis, Axis) for axis in axes_to_replace]):
+            if len(axes_to_replace) != len(self):
+                raise ValueError('{} axes given as argument, expected '
+                                 '{}'.format(len(axes_to_replace), len(self)))
+            axes = axes_to_replace
+        else:
+            axes = self if inplace else self[:]
+            if isinstance(axes_to_replace, dict):
+                items = list(axes_to_replace.items())
+            elif isinstance(axes_to_replace, list):
+                items = axes_to_replace[:]
+            elif isinstance(axes_to_replace, (str, Axis, int)):
+                items = [(axes_to_replace, new_axis)]
+            else:
+                items = []
+            items += kwargs.items()
+            for old, new in items:
+                axes[old] = new
+        if inplace:
+            return self
+        else:
+            return AxisCollection(axes)
 
     # XXX: kill this method?
     def without(self, axes):
@@ -4180,9 +4239,9 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
             In that case, the number of new axes must match the number of the old ones.
-        new_axis : Axis
+        new_axis : , optional
             New axis if `axes_to_replace` contains a single axis reference.
-        inplace : bool
+        inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
         **kwargs : Axis
             New axis for each axis to replace given as a keyword argument.
@@ -4236,44 +4295,19 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
                 r0 |  0 |  1 |  2
                 r1 |  3 |  4 |  5
         """
-        # TODO: most of this logic should be moved to AxisCollection.replace and the code here should boil down to:
-        # new_axes = self.axes.replace(axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
-        # if inplace:
-        #     self.axes = new_axes
-        #     return self
-        # else:
-        #     return LArray(self.data, new_axes, title=self.title)
-        if isinstance(axes_to_replace, (list, AxisCollection)) and \
-                all([isinstance(axis, Axis) for axis in axes_to_replace]):
-            if len(axes_to_replace) != len(self.axes):
-                raise ValueError('{} axes given as argument, expected '
-                                 '{}'.format(len(axes_to_replace), len(self.axes)))
-            axes = axes_to_replace
-        else:
-            axes = self.axes.copy()
-            if isinstance(axes_to_replace, dict):
-                items = list(axes_to_replace.items())
-            elif isinstance(axes_to_replace, list):
-                items = axes_to_replace[:]
-            elif isinstance(axes_to_replace, (str, Axis, int)):
-                items = [(axes_to_replace, new_axis)]
-            else:
-                items = []
-            items += kwargs.items()
-            for old, new in items:
-                axes = axes.replace(old, new)
+        new_axes = self.axes.replace(axes_to_replace, new_axis, **kwargs)
         if inplace:
-            if axes.ndim != self.ndim:
+            if new_axes.ndim != self.ndim:
                 raise ValueError("number of axes (%d) does not match "
                                  "number of dimensions of data (%d)"
-                                 % (axes.ndim, self.ndim))
-            if axes.shape != self.data.shape:
+                                 % (new_axes.ndim, self.ndim))
+            if new_axes.shape != self.data.shape:
                 raise ValueError("length of axes %s does not match "
-                                 "data shape %s" % (axes.shape, self.data.shape))
-            object.__setattr__(self, 'axes', axes)
+                                 "data shape %s" % (new_axes.shape, self.data.shape))
+            object.__setattr__(self, 'axes', new_axes)
             return self
         else:
-            return LArray(self.data, axes, title=self.title)
+            return LArray(self.data, new_axes, title=self.title)
 
     def with_axes(self, axes):
         warnings.warn("LArray.with_axes is deprecated, "
@@ -4692,6 +4726,93 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         else:
             return LArray(self.data, axes)
 
+    def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplace=False, **kwargs):
+        """Reorder and/or add new labels in axes.
+
+        Place NaN or given `fill_value` in locations having no value previously.
+
+        Parameters
+        ----------
+        axes_to_reindex : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+                          or list of Axis or AxisCollection
+            Axes to reindex. If a single axis reference is given, the `new_axis` argument must be provided.
+            If a list of Axis or an AxisCollection is given, all axes will be reindexed by the new ones.
+            In that case, the number of new axes must match the number of the old ones.
+        new_axis : int, str, list/tuple of str or Axis, optional
+            List of new labels or new axis if `axes_to_replace` contains a single axis reference.
+        fill_value : scalar, optional
+            Value set to data corresponding to added labels.
+            Defaults to NaN.
+        inplace : bool, optional
+            Whether or not to modify the original object or return a new array and leave the original intact.
+            Defaults to False.
+        **kwargs : Axis
+            New axis for each axis to reindex given as a keyword argument.
+
+        Returns
+        -------
+        LArray
+            Array with reindexed axes.
+
+        Notes
+        -----
+        When introducing NAs into an array containing integers via reindex,
+        all data will be promoted to float in order to store the NAs.
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 2))
+        >>> arr
+        a\\b | b0 | b1
+         a0 |  0 |  1
+         a1 |  2 |  3
+
+        Reindex one axis
+
+        >>> arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
+        a\\b | b1 | b2 | b0
+         a0 |  1 | -1 |  0
+         a1 |  3 | -1 |  2
+        >>> arr.reindex(x.b, 'b0..b2', fill_value=-1)
+        a\\b | b0 | b1 | b2
+         a0 |  0 |  1 | -1
+         a1 |  2 |  3 | -1
+
+        Reindex several axes
+
+        >>> arr2 = ndtest((2, 3))
+        >>> arr.reindex(arr2.axes)
+        a\\b |  b0 |  b1 |  b2
+         a0 | 0.0 | 1.0 | nan
+         a1 | 2.0 | 3.0 | nan
+        >>> a = Axis('a', ['a1', 'a2', 'a0'])
+        >>> b = Axis('b', ['b2', 'b1', 'b0'])
+        >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
+        a\\b | b2 | b1 | b0
+         a1 | -1 |  3 |  2
+         a2 | -1 | -1 | -1
+         a0 | -1 |  1 |  0
+        >>> arr.reindex({x.a: a, x.b: b})
+        a\\b |  b2 |  b1 |  b0
+         a1 | nan | 3.0 | 2.0
+         a2 | nan | nan | nan
+         a0 | nan | 1.0 | 0.0
+        """
+        if not np.isscalar(fill_value):
+            raise TypeError("fill_value must be a scalar")
+        if isinstance(new_axis, (int, basestring, list, tuple)):
+            new_axis = Axis(self.axes[axes_to_reindex].name, new_axis)
+        res_axes = self.axes.replace(axes_to_reindex, new_axis, **kwargs)
+        res = full(res_axes, fill_value, dtype=common_type((self.data, fill_value)))
+        labels = tuple(axis[axis.labels] for axis in self.axes)
+        res[labels] = self
+        if inplace:
+            object.__setattr__(self, 'axes', res.axes)
+            object.__setattr__(self, 'data', res.data)
+            return self
+        else:
+            return res
+
     def sort_values(self, key, reverse=False):
         """Sorts values of the array.
 
@@ -5557,7 +5678,8 @@ def drop_labels(self, axes=None):
             axes = [axes]
         old_axes = self.axes[axes]
         new_axes = [Axis(axis.name, len(axis)) for axis in old_axes]
-        res_axes = self.axes.replace(axes, new_axes)
+        res_axes = self.axes[:]
+        res_axes[axes] = new_axes
         return LArray(self.data, res_axes)
 
     def __str__(self):
@@ -5714,7 +5836,8 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True else keepaxes
             new_axes = [Axis(axis.name, [label]) for axis in axes]
-            res_axes = self.axes.replace(axes, new_axes)
+            res_axes = self.axes[:]
+            res_axes[axes] = new_axes
         else:
             res_axes = self.axes - axes
         if not res_axes:
@@ -9229,8 +9352,8 @@ def set_labels(self, axis, labels=None, inplace=False):
                 new_axis = real_axis.replace(axis_changes)
             else:
                 new_axis = Axis(real_axis.name, axis_changes)
-            new_axes.append(new_axis)
-        axes = self.axes.replace(list(changes.keys()), new_axes)
+            new_axes.append((old_axis, new_axis))
+        axes = self.axes.replace(new_axes)
 
         if inplace:
             object.__setattr__(self, 'axes', axes)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 5bdb292ed..56057a42e 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -948,10 +948,6 @@ def test_replace(self):
         self.assertEqual(len(newcol), 3)
         self.assertEqual(newcol.names, ['lipro', 'sex', 'age'])
 
-    def test_replace_multiple(self):
-        col = self.collection.replace(['lipro', 'age'], [self.geo, self.lipro])
-        self.assertEqual(col, [self.geo, self.sex, self.lipro])
-
     # TODO: add contains_test (using both axis name and axis objects)
     def test_get(self):
         col = self.collection
@@ -1655,8 +1651,7 @@ def test_getitem_ndarray_key_guess(self):
         key = np.array(keys)
         res = la[key]
         self.assertTrue(isinstance(res, LArray))
-        self.assertEqual(res.axes,
-                         la.axes.replace(x.lipro, Axis('lipro', keys)))
+        self.assertEqual(res.axes, la.axes.replace(x.lipro, Axis('lipro', keys)))
         assert_array_equal(res, raw[:, :, :, [3, 0, 2, 1]])
 
     def test_getitem_int_larray_key_guess(self):
@@ -3174,6 +3169,15 @@ def test_replace_axes(self):
         la2 = self.small.set_axes([(x.sex, sex2), (x.lipro, lipro2)])
         assert_array_equal(la, la2)
 
+    def test_reindex(self):
+        la = self.small.reindex(x.sex, ['F', 'M', 'U'], fill_value=0)
+        self.assertEqual(la.shape, (3, 15))
+        self.assertSequenceEqual(list(la.sex.labels), ['F', 'M', 'U'])
+
+        la2 = self.small.copy()
+        la2.reindex(x.sex, ['F', 'M', 'U'], fill_value=0, inplace=True)
+        assert_array_equal(la, la2)
+
     def test_append(self):
         la = self.small
         sex, lipro = la.axes

From babdd02c6a477e565eadc3ae0d5e04a4839a7dda Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 10 Apr 2017 17:16:33 +0200
Subject: [PATCH 462/899] updated changelog (added reindex)

---
 doc/source/changes/version_0_22.rst.inc | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 7a7ab2bde..70e37b089 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -78,6 +78,27 @@
 
 * updated AxisCollection.replace so as to replace one, several or all axes.
 
+* implemented reindex allowing to change order of labels (and add new ones) of one or several axes:
+
+    >>> arr = ndtest((2, 2))
+    >>> arr
+    a\\b | b0 | b1
+     a0 |  0 |  1
+     a1 |  2 |  3
+    >>> arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
+    a\\b | b1 | b2 | b0
+     a0 |  1 | -1 |  0
+     a1 |  3 | -1 |  2
+    >>> a = Axis('a', ['a1', 'a2', 'a0'])
+    >>> b = Axis('b', ['b2', 'b1', 'b0'])
+    >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
+    a\\b | b2 | b1 | b0
+     a1 | -1 |  3 |  2
+     a2 | -1 | -1 | -1
+     a0 | -1 |  1 |  0
+
+    (closes :issue:`18`).
+
 * added another feature (see the :ref:`miscellaneous section <misc>` for details).
 
 .. _misc:

From 99548572e044e1384d75aa3c16fb5de80d630ed6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 11 Apr 2017 12:46:58 +0200
Subject: [PATCH 463/899] updated docstring of AxisCollection.replace,
 LArray.set_axes and LArray.set_labels

---
 larray/core.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index e3dfa534a..fcfc56824 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3072,10 +3072,11 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
             In that case, the number of new axes must match the number of the old ones.
-        new_axis : Axis
+        new_axis : Axis, optional
             New axis if `axes_to_replace` contains a single axis reference.
-        inplace : bool
+        inplace : bool, optional
             Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
+            Defaults to False.
         **kwargs : Axis
             New axis for each axis to replace given as a keyword argument.
 
@@ -4239,10 +4240,11 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
             In that case, the number of new axes must match the number of the old ones.
-        new_axis : , optional
+        new_axis : Axis, optional
             New axis if `axes_to_replace` contains a single axis reference.
         inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
+            Defaults to False.
         **kwargs : Axis
             New axis for each axis to replace given as a keyword argument.
 
@@ -9289,8 +9291,9 @@ def set_labels(self, axis, labels=None, inplace=False):
         labels : int, str, iterable or mapping, optional
             Integer or list of values usable as the collection of labels for an Axis. If this is mapping, it must be
             {old_label: new_label}. This argument must not be used if axis is a mapping.
-        inplace : bool
+        inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
+            Defaults to False.
 
         Returns
         -------

From 3f292ef75a947107e287e597ae97430c83844fe5 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 11 Apr 2017 12:56:47 +0200
Subject: [PATCH 464/899] updated changelog (0.22) --> added new example with
 axes from another array for reindex method

---
 doc/source/changes/version_0_22.rst.inc | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 70e37b089..792b1b39c 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -96,6 +96,12 @@
      a1 | -1 |  3 |  2
      a2 | -1 | -1 | -1
      a0 | -1 |  1 |  0
+    >>> arr2 = ndtest((3, 3))
+    >>> arr.reindex(arr2.axes, fill_value=-1)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 | -1
+     a1 |  2 |  3 | -1
+     a2 | -1 | -1 | -1
 
     (closes :issue:`18`).
 

From 116234df10fa9a4afe50c3bbcc159bb9f8a1ee8a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 10 Apr 2017 17:22:32 +0200
Subject: [PATCH 465/899] kill LArray.__setattr__ (closes #206).

---
 larray/core.py | 20 ++++++++------------
 1 file changed, 8 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index fcfc56824..1910379d5 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4197,10 +4197,9 @@ def __init__(self,
                 raise ValueError("length of axes %s does not match "
                                  "data shape %s" % (axes.shape, data.shape))
 
-        # Because __getattr__ and __setattr__ have been overridden
-        object.__setattr__(self, 'data', data)
-        object.__setattr__(self, 'axes', axes)
-        object.__setattr__(self, 'title', title)
+        self.data = data
+        self.axes = axes
+        self.title = title
 
     # XXX: rename to posnonzero and implement a label version of nonzero
     def nonzero(self):
@@ -4306,7 +4305,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             if new_axes.shape != self.data.shape:
                 raise ValueError("length of axes %s does not match "
                                  "data shape %s" % (new_axes.shape, self.data.shape))
-            object.__setattr__(self, 'axes', new_axes)
+            self.axes = new_axes
             return self
         else:
             return LArray(self.data, new_axes, title=self.title)
@@ -4325,9 +4324,6 @@ def __getattr__(self, key):
         except Exception:
             return self.__getattribute__(key)
 
-    def __setattr__(self, key, value):
-        return self.__setitem__(key, value)
-
     def __dir__(self):
         names = set(axis.name for axis in self.axes if axis.name is not None)
         return list(set(dir(self.__class__)) | names)
@@ -4723,7 +4719,7 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         axes = [a.rename(renames[a]) if a in renames else a
                 for a in self.axes]
         if inplace:
-            object.__setattr__(self, 'axes', AxisCollection(axes))
+            self.axes = AxisCollection(axes)
             return self
         else:
             return LArray(self.data, axes)
@@ -4809,8 +4805,8 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         labels = tuple(axis[axis.labels] for axis in self.axes)
         res[labels] = self
         if inplace:
-            object.__setattr__(self, 'axes', res.axes)
-            object.__setattr__(self, 'data', res.data)
+            self.axes = res.axes
+            self.data = res.data
             return self
         else:
             return res
@@ -9359,7 +9355,7 @@ def set_labels(self, axis, labels=None, inplace=False):
         axes = self.axes.replace(new_axes)
 
         if inplace:
-            object.__setattr__(self, 'axes', axes)
+            self.axes = axes
             return self
         else:
             return LArray(self.data, axes)

From 7f0b1fa9523ba4830b09a307318fd57437185a7b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 10 Apr 2017 20:15:09 +0200
Subject: [PATCH 466/899] handle ... in LArray.transpose (and
 AxisCollection[]). Closes #188.

this does not work on Python 2 because ... is only available within [] on
Python 2
---
 doc/source/changes/version_0_22.rst.inc |  6 +-
 larray/core.py                          | 95 ++++++++++++-------------
 larray/tests/test_la.py                 | 25 ++++---
 3 files changed, 64 insertions(+), 62 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 792b1b39c..9839aa77f 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -112,7 +112,11 @@
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* handle ... in transpose method to avoid having to list all axes. This can be useful, for example, to change which
+  axis is in columns (closes :issue:`188`).
+
+    >>> arr.transpose(..., 'time')
+    >>> arr.transpose('gender', ..., 'time')
 
 Fixes
 -----
diff --git a/larray/core.py b/larray/core.py
index 1910379d5..da5cb7e33 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2501,6 +2501,13 @@ def __getitem__(self, key):
         if isinstance(key, int):
             return self._list[key]
         elif isinstance(key, (tuple, list)):
+            if any(axis is Ellipsis for axis in key):
+                ellipsis_idx = index_by_id(key, Ellipsis)
+                # going through lists (instead of doing self[key[:ellipsis_idx]] to avoid problems with anonymous axes
+                before_ellipsis = [self[k] for k in key[:ellipsis_idx]]
+                after_ellipsis = [self[k] for k in key[ellipsis_idx + 1:]]
+                ellipsis_axes = list(self - before_ellipsis - after_ellipsis)
+                return AxisCollection(before_ellipsis + ellipsis_axes + after_ellipsis)
             # XXX: also use get_by_pos if tuple/list of Axis?
             return AxisCollection([self[k] for k in key])
         elif isinstance(key, AxisCollection):
@@ -8676,9 +8683,9 @@ def transpose(self, *args):
 
         Parameters
         ----------
-        args
-            Accepts either a tuple of axes specs or
-            axes specs as `*args`.
+        *args
+            Accepts either a tuple of axes specs or axes specs as `*args`. Omitted axes keep their order.
+            Use ... to avoid specifying intermediate axes.
 
         Returns
         -------
@@ -8687,30 +8694,39 @@ def transpose(self, *args):
 
         Examples
         --------
-        >>> a = ndrange([('nat', 'BE,FO'),
-        ...              ('sex', 'M,F'),
-        ...              ('alive', [False, True])])
-        >>> a
-        nat | sex\\alive | False | True
-         BE |         M |     0 |    1
-         BE |         F |     2 |    3
-         FO |         M |     4 |    5
-         FO |         F |     6 |    7
-        >>> a.transpose(x.alive, x.sex, x.nat)
-        alive | sex\\nat | BE | FO
-        False |       M |  0 |  4
-        False |       F |  2 |  6
-         True |       M |  1 |  5
-         True |       F |  3 |  7
-        >>> a.transpose(x.alive)
-        alive | nat\\sex | M | F
-        False |      BE | 0 | 2
-        False |      FO | 4 | 6
-         True |      BE | 1 | 3
-         True |      FO | 5 | 7
-        """
-        if len(args) == 1 and isinstance(args[0],
-                                         (tuple, list, AxisCollection)):
+        >>> arr = ndtest((2, 2, 2))
+        >>> arr
+         a | b\\c | c0 | c1
+        a0 |  b0 |  0 |  1
+        a0 |  b1 |  2 |  3
+        a1 |  b0 |  4 |  5
+        a1 |  b1 |  6 |  7
+        >>> arr.transpose('b', 'c', 'a')
+         b | c\\a | a0 | a1
+        b0 |  c0 |  0 |  4
+        b0 |  c1 |  1 |  5
+        b1 |  c0 |  2 |  6
+        b1 |  c1 |  3 |  7
+        >>> arr.transpose('b')
+         b | a\\c | c0 | c1
+        b0 |  a0 |  0 |  1
+        b0 |  a1 |  4 |  5
+        b1 |  a0 |  2 |  3
+        b1 |  a1 |  6 |  7
+        >>> arr.transpose(..., 'a')  # doctest: +SKIP 
+         b | c\\a | a0 | a1
+        b0 |  c0 |  0 |  4
+        b0 |  c1 |  1 |  5
+        b1 |  c0 |  2 |  6
+        b1 |  c1 |  3 |  7
+        >>> arr.transpose('c', ..., 'a')  # doctest: +SKIP
+         c | b\\a | a0 | a1
+        c0 |  b0 |  0 |  4
+        c0 |  b1 |  2 |  6
+        c1 |  b0 |  1 |  5
+        c1 |  b1 |  3 |  7
+        """
+        if len(args) == 1 and isinstance(args[0], (tuple, list, AxisCollection)):
             axes = args[0]
         elif len(args) == 0:
             axes = self.axes[::-1]
@@ -8719,33 +8735,12 @@ def transpose(self, *args):
 
         axes = self.axes[axes]
         axes_indices = [self.axes.index(axis) for axis in axes]
+        # this whole mumbo jumbo is required (for now) for anonymous axes
         indices_present = set(axes_indices)
         missing_indices = [i for i in range(len(self.axes))
                            if i not in indices_present]
         axes_indices = axes_indices + missing_indices
-        src_data = np.asarray(self)
-        res_data = src_data.transpose(axes_indices)
-        return LArray(res_data, self.axes[axes_indices])
-
-        # if len(args) == 1 and isinstance(args[0],
-        #                                  (tuple, list, AxisCollection)):
-        #     axes = args[0]
-        # else:
-        #     axes = args
-        # # this SHOULD work but does not currently for positional axes
-        # # on anonymous axes. e.g. axes = (1, 2) because that ends up
-        # # trying to do:
-        # # self.axes[(1, 2)] | self.axes
-        # # self.axes[(1, 2)] | self.axes[0]
-        # # since self.axes[0] does not exist in self.axes[1, 2], BUT has
-        # # a position < len(self.axes[1, 2]), it tries to match
-        # # against self.axes[1, 2][0], (ie self.axes[1]) which breaks
-        # # the problem is that AxisCollection.union should not try to match
-        # # by position in this case.
-        # res_axes = (self.axes[axes] | self.axes) if axes else self.axes[::-1]
-        # axes_indices = [self.axes.index(axis) for axis in res_axes]
-        # res_data = np.asarray(self).transpose(axes_indices)
-        # return LArray(res_data, res_axes)
+        return LArray(self.data.transpose(axes_indices), self.axes[axes_indices])
     T = property(transpose)
 
     def clip(self, a_min, a_max, out=None):
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 56057a42e..0a01208ed 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2948,17 +2948,20 @@ def test_total(self):
         self.assertEqual(a4.shape, (116, 44, 2, 17))
 
     def test_transpose(self):
-        la = self.larray
-        age, geo, sex, lipro = la.axes
-
-        reordered = la.transpose(geo, age, lipro, sex)
-        self.assertEqual(reordered.shape, (44, 116, 15, 2))
-
-        reordered = la.transpose(lipro, age)
-        self.assertEqual(reordered.shape, (15, 116, 44, 2))
-
-        self.assertEqual(la.transpose().axes.names,
-                         ['lipro', 'sex', 'geo', 'age'])
+        arr = ndtest((2, 3, 4))
+        a, b, c = arr.axes
+        res = arr.transpose()
+        self.assertEqual(res.axes, [c, b, a])
+        res = arr.transpose('b', 'c', 'a')
+        self.assertEqual(res.axes, [b, c, a])
+        res = arr.transpose('b')
+        self.assertEqual(res.axes, [b, a, c])
+
+        # using Ellipsis instead of ... to avoid a syntax error on Python 2 (where ... is only available within [])
+        res = arr.transpose(Ellipsis, 'a')
+        self.assertEqual(res.axes, [b, c, a])
+        res = arr.transpose('c', Ellipsis, 'a')
+        self.assertEqual(res.axes, [c, b, a])
 
     def test_transpose_anonymous(self):
         a = ndrange((2, 3, 4))

From 69d70bf7987b0cc6625b5a8bf0b47332178ab818 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 11 Apr 2017 09:07:02 +0200
Subject: [PATCH 467/899] made tests insignificantly faster by not recomputing
 equal.all() in the assert

---
 larray/tests/test_la.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 0a01208ed..235d8e261 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -55,8 +55,7 @@ def assert_equal(a, b):
             #      at least understand why this happens and fix this if
             #      possible.
             notequal = np.asarray(~equal)
-        assert equal.all(), "\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal],
-                                                                 b[notequal])
+            raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
     return assert_equal
 
 

From 954dd3e1ff21c83e25f5f35ec6a677fe6a608c42 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 11 Apr 2017 09:12:39 +0200
Subject: [PATCH 468/899] implemented Group.__getattr__. Closes #202.

---
 doc/source/changes/version_0_22.rst.inc | 11 +++++++++++
 larray/core.py                          | 23 +++++++++++++----------
 larray/tests/test_la.py                 | 12 ++++++++++++
 3 files changed, 36 insertions(+), 10 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 9839aa77f..6ac7c1e80 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -109,6 +109,7 @@
 
 .. _misc:
 
+
 Miscellaneous improvements
 --------------------------
 
@@ -118,6 +119,16 @@ Miscellaneous improvements
     >>> arr.transpose(..., 'time')
     >>> arr.transpose('gender', ..., 'time')
 
+* made scalar Groups behave even more like their value: any method available on the value is available on the Group.
+  For example, if the Group has a string value, the string methods are available on it (closes :issue:`202`).
+
+    >>> test = Axis('test', ['abc', 'a1-a2'])
+    >>> test.i[0].upper()
+    'ABC'
+    >>> test.i[1].split('-')
+    ['a1', 'a2']
+
+
 Fixes
 -----
 
diff --git a/larray/core.py b/larray/core.py
index da5cb7e33..5dc901ce0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2070,6 +2070,17 @@ def __float__(self):
     def __array__(self, dtype=None):
         return np.asarray(self.eval(), dtype=dtype)
 
+    def __dir__(self):
+        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
+        # dir() takes care of sorting but not uniqueness, so we must ensure that.
+        return list(set(dir(self.eval())) | set(dir(self.__class__)))
+
+    def __getattr__(self, key):
+        if key == '__array_struct__':
+            raise AttributeError("'Group' object has no attribute '__array_struct__'")
+        else:
+            return getattr(self.eval(), key)
+
     def __hash__(self):
         # to_tick & to_key are partially opposite operations but this
         # standardize on a single notation so that they can all target each
@@ -2467,12 +2478,8 @@ def make_axis(obj):
         #                   category=UserWarning, stacklevel=5)
 
     def __dir__(self):
-        # called by dir() and tab-completion at the interactive prompt,
-        # should return a list of all valid attributes, ie all normal
-        # attributes plus anything valid in getattr (string keys only).
-        # make sure we return unique results because dir() does not ensure that
-        # (ipython tab-completion does though).
-        # order does not matter though (dir() sorts the results)
+        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
+        # dir() takes care of sorting but not uniqueness, so we must ensure that.
         names = set(axis.name for axis in self._list if axis.name is not None)
         return list(set(dir(self.__class__)) | names)
 
@@ -5266,10 +5273,6 @@ def _collapse_slices(self, key):
                 for axis_key, axis in zip(key, self.axes)]
 
     def __getitem__(self, key, collapse_slices=False):
-        # move this to getattr
-        # if isinstance(key, str) and key in ('__array_struct__',
-        #                               '__array_interface__'):
-        #     raise KeyError("bla")
         if isinstance(key, ExprNode):
             key = key.evaluate(self.axes)
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 235d8e261..d6fe32ae6 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -787,6 +787,18 @@ def test_eq(self):
         self._assert_array_equal_is_true_array(self.list, ['a0', 'a1', 'a3', 'a4'])
         self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
 
+    def test_getattr(self):
+        agg = Axis('agg', ['a1:a2', ':a2', 'a1:'])
+        self.assertEqual(agg.i[0].split(':'), ['a1', 'a2'])
+        self.assertEqual(agg.i[1].split(':'), ['', 'a2'])
+        self.assertEqual(agg.i[2].split(':'), ['a1', ''])
+
+    def test_dir(self):
+        agg = Axis('agg', ['a', 1])
+        self.assertTrue('split' in dir(agg.i[0]))
+        self.assertTrue('strip' in dir(agg.i[0]))
+        self.assertTrue('strip' in dir(agg.i[0]))
+
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named), "code.i[1:4] >> 'a123'")
         self.assertEqual(repr(self.slice_both), "code.i[1:4]")

From bbaabcd311aff9b34e7f820f5f3eb6247fbb5f93 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 11 Apr 2017 10:48:23 +0200
Subject: [PATCH 469/899] made create_sequential axis argument more versatile
 (closes #160).

It now accepts all the ways to create axes supported by other array creation functions.
---
 doc/source/changes/version_0_22.rst.inc |  7 +++
 larray/core.py                          | 59 ++++++++++++++-----------
 2 files changed, 39 insertions(+), 27 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 6ac7c1e80..920550d6f 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -128,6 +128,13 @@ Miscellaneous improvements
     >>> test.i[1].split('-')
     ['a1', 'a2']
 
+* made create_sequential axis argument accept all the ways to create axes supported by other array creation functions
+  like, for example, using a string definition (closes :issue:`160`).
+
+    >>> create_sequential('year=2016..2019')
+    year | 2016 | 2017 | 2018 | 2019
+         |    0 |    1 |    2 |    3
+
 
 Fixes
 -----
diff --git a/larray/core.py b/larray/core.py
index 5dc901ce0..9619a58b0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2379,6 +2379,23 @@ def index_by_id(seq, value):
     raise ValueError("%s is not in list" % value)
 
 
+def _make_axis(obj):
+    if isinstance(obj, Axis):
+        return obj
+    elif isinstance(obj, tuple):
+        assert len(obj) == 2
+        name, labels = obj
+        return Axis(name, labels)
+    elif isinstance(obj, Group):
+        return Axis(obj.axis, obj.eval())
+    elif isinstance(obj, str) and '=' in obj:
+        name, labels = [o.strip() for o in obj.split('=')]
+        return Axis(name, labels)
+    else:
+        # int, str, list, ndarray
+        return Axis(None, obj)
+
+
 # not using OrderedDict because it does not support indices-based getitem
 # not using namedtuple because we have to know the fields in advance (it is a
 # one-off class) and we need more functionality than just a named tuple
@@ -2422,23 +2439,7 @@ def __init__(self, axes=None):
         elif isinstance(axes, str):
             axes = [axis.strip() for axis in axes.split(';')]
 
-        def make_axis(obj):
-            if isinstance(obj, Axis):
-                return obj
-            elif isinstance(obj, tuple):
-                assert len(obj) == 2
-                name, labels = obj
-                return Axis(name, labels)
-            elif isinstance(obj, Group):
-                return Axis(obj.axis, obj.eval())
-            else:
-                if isinstance(obj, str) and '=' in obj:
-                    name, labels = [o.strip() for o in obj.split('=')]
-                    return Axis(name, labels)
-                else:
-                    return Axis(None, obj)
-
-        axes = [make_axis(axis) for axis in axes]
+        axes = [_make_axis(axis) for axis in axes]
         assert all(isinstance(a, Axis) for a in axes)
         # check for duplicate axes
         dupe_axes = list(duplicates(axes))
@@ -10434,8 +10435,9 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
 
     Parameters
     ----------
-    axis : axis reference (Axis, str, int)
-        Axis along which to apply mod.
+    axis : axis definition (Axis, str, int)
+        Axis along which to apply mod. An axis definition can be passed as a string. An int will be interpreted as the 
+        length for a new anonymous axis.
     initial : scalar or LArray, optional
         Value for the first label of axis. Defaults to 0.
     inc : scalar, LArray, optional
@@ -10454,9 +10456,12 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
 
     Examples
     --------
-    >>> year = Axis('year', range(2016, 2020))
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> year = Axis('year', '2016..2019')
+    >>> sex = Axis('sex', 'M,F')
     >>> create_sequential(year)
+    year | 2016 | 2017 | 2018 | 2019
+         |    0 |    1 |    2 |    3
+    >>> create_sequential('year=2016..2019')
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
     >>> create_sequential(year, 1.0, 0.5)
@@ -10512,24 +10517,24 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> g
     year | 2017 | 2018 | 2019
          |  2.0 |  1.5 |  1.0
-    >>> create_sequential(a.axes.year, a[2016], mult=g)
+    >>> create_sequential(year, a[2016], mult=g)
     year | 2016 | 2017 | 2018 | 2019
          |  1.0 |  2.0 |  3.0 |  3.0
     """
     if inc is None:
         inc = 1 if mult is 1 else 0
-    if isinstance(axis, int):
-        axis = Axis(None, axis)
-    elif isinstance(axis, Group):
-        axis = Axis(axis.axis.name, list(axis))
+
     if axes is None:
+        if not isinstance(axis, Axis):
+            axis = _make_axis(axis)
+
         def strip_axes(col):
             return get_axes(col) - axis
         # we need to remove axis if present, because it might be incompatible
         axes = strip_axes(initial) | strip_axes(inc) | strip_axes(mult) | axis
     else:
         axes = AxisCollection(axes)
-    axis = axes[axis]
+        axis = axes[axis]
     res_dtype = np.dtype(common_type((initial, inc, mult)))
     res = empty(axes, title=title, dtype=res_dtype)
     res[axis.i[0]] = initial

From b3884875ab24024cb084df317bb5a4333ab039dd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 10 Apr 2017 11:23:48 +0200
Subject: [PATCH 470/899] fix #152 : inverted name and labels arguments when
 creating an Axis

---
 larray/core.py               | 573 ++++++++++++++++++-----------------
 larray/excel.py              |   3 +-
 larray/ipfp.py               |  10 +-
 larray/session.py            |   2 +-
 larray/tests/test_ipfp.py    |  39 +--
 larray/tests/test_la.py      | 181 ++++++-----
 larray/tests/test_session.py |  12 +-
 larray/viewer.py             |  18 +-
 8 files changed, 412 insertions(+), 426 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9619a58b0..eae1eee1a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -876,38 +876,44 @@ class Axis(object):
 
     Parameters
     ----------
-    name : str or Axis
-        name of the axis or another instance of Axis.
-        In the second case, the name of the other axis is simply copied.
     labels : array-like or int
         collection of values usable as labels, i.e. numbers or strings or the size of the axis.
         In the last case, a wildcard axis is created.
+    name : str or Axis, optional
+        name of the axis or another instance of Axis.
+        In the second case, the name of the other axis is simply copied.
+        By default None.
 
     Attributes
     ----------
-    name : str
-        name of the axis.
     labels : array-like or int
         collection of values usable as labels, i.e. numbers or strings
+    name : str
+        name of the axis. None in the case of an anonymous axis.
 
     Examples
     --------
-    >>> age = Axis('age', 10)
+    >>> age = Axis(10, 'age')
     >>> age
-    Axis('age', 10)
+    Axis(10, 'age')
     >>> age.name
     'age'
     >>> age.labels
     array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> sex
-    Axis('sex', ['M', 'F'])
+    >>> gender = Axis('gender=M,F')
+    >>> gender
+    Axis(['M', 'F'], 'gender')
+    >>> anonymous = Axis('0..4')
+    >>> anonymous
+    Axis([0, 1, 2, 3, 4], None)
     """
     # ticks instead of labels?
     # XXX: make name and labels optional?
-    def __init__(self, name, labels):
+    def __init__(self, labels, name=None):
         if isinstance(name, Axis):
             name = name.name
+        if isinstance(labels, basestring) and '=' in labels:
+                name, labels = [o.strip() for o in labels.split('=')]
         # make sure we do not have np.str_ as it causes problems down the
         # line with xlwings. Cannot use isinstance to check that though.
         is_python_str = type(name) is unicode or type(name) is bytes
@@ -977,8 +983,8 @@ def i(self):
 
         Examples
         --------
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> arr = ndrange([sex, time])
         >>> arr
         sex\\time | 2007 | 2008 | 2009 | 2010
@@ -1048,7 +1054,7 @@ def by(self, length, step=None):
 
         Examples
         --------
-        >>> age = Axis('age', range(10))
+        >>> age = Axis(range(10), 'age')
         >>> age.by(3)
         (age.i[0:3], age.i[3:6], age.i[6:9], age.i[9:10])
         >>> age.by(3, 4)
@@ -1080,27 +1086,26 @@ def extend(self, labels):
 
         Examples
         --------
-        >>> time = Axis('time', [2007, 2008])
+        >>> time = Axis([2007, 2008], 'time')
         >>> time
-        Axis('time', [2007, 2008])
+        Axis([2007, 2008], 'time')
         >>> time.extend([2009, 2010])
-        Axis('time', [2007, 2008, 2009, 2010])
-        >>> waxis = Axis('wildcard_axis', 10)
+        Axis([2007, 2008, 2009, 2010], 'time')
+        >>> waxis = Axis(10, 'wildcard_axis')
         >>> waxis
-        Axis('wildcard_axis', 10)
+        Axis(10, 'wildcard_axis')
         >>> waxis.extend(5)
-        Axis('wildcard_axis', 15)
+        Axis(15, 'wildcard_axis')
         >>> waxis.extend([11, 12, 13, 14])
         Traceback (most recent call last):
         ...
         ValueError: Axis to append must (not) be wildcard if self is (not) wildcard
         """
-        other = labels if isinstance(labels, Axis) else Axis(None, labels)
+        other = labels if isinstance(labels, Axis) else Axis(labels)
         if self.iswildcard != other.iswildcard:
-            raise ValueError ("Axis to append must (not) be wildcard if " +
-                              "self is (not) wildcard")
+            raise ValueError ("Axis to append must (not) be wildcard if self is (not) wildcard")
         labels = self._length + other._length if self.iswildcard else np.append(self.labels, other.labels)
-        return Axis(self.name, labels)
+        return Axis(labels, self.name)
 
     @property
     def iswildcard(self):
@@ -1119,7 +1124,7 @@ def _group(self, *args, **kwargs):
 
         Examples
         --------
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> odd_years = time._group([2007, 2009], name='odd_years')
         >>> odd_years
         time[2007, 2009] >> 'odd_years'
@@ -1172,9 +1177,9 @@ def subaxis(self, key, name=None):
 
         Examples
         --------
-        >>> age = Axis('age', range(100))
-        >>> age.subaxis(range(10, 19), name='teenagers')
-        Axis('teenagers', [10, 11, 12, 13, 14, 15, 16, 17, 18])
+        >>> age = Axis(range(100), 'age')
+        >>> age.subaxis(range(10, 19), 'teenagers')
+        Axis([10, 11, 12, 13, 14, 15, 16, 17, 18], 'teenagers')
         """
         if (name is None and isinstance(key, slice) and
                 key.start is None and key.stop is None and key.step is None):
@@ -1188,7 +1193,7 @@ def subaxis(self, key, name=None):
             return tuple(key.axes)
         # TODO: compute length for wildcard axes more efficiently
         labels = len(self.labels[key]) if self.iswildcard else self.labels[key]
-        return Axis(name, labels)
+        return Axis(labels, name)
 
     def iscompatible(self, other):
         """
@@ -1211,10 +1216,10 @@ def iscompatible(self, other):
 
         Examples
         --------
-        >>> a10  = Axis('a', range(10))
-        >>> wa10 = Axis('a', 10)
-        >>> wa1  = Axis('a', 1)
-        >>> b10  = Axis('b', range(10))
+        >>> a10  = Axis(range(10), 'a')
+        >>> wa10 = Axis(10, 'a')
+        >>> wa1  = Axis(1, 'a')
+        >>> b10  = Axis(range(10), 'b')
         >>> a10.iscompatible(b10)
         False
         >>> a10.iscompatible(wa10)
@@ -1254,10 +1259,10 @@ def equals(self, other):
 
         Examples
         --------
-        >>> age = Axis('age', range(5))
-        >>> age_2 = Axis('age', 5)
-        >>> age_3 = Axis('young children', range(5))
-        >>> age_4 = Axis('age', [0, 1, 2, 3, 4])
+        >>> age = Axis(range(5), 'age')
+        >>> age_2 = Axis(5, 'age')
+        >>> age_3 = Axis(range(5), 'young children')
+        >>> age_4 = Axis([0, 1, 2, 3, 4], 'age')
         >>> age.equals(age_2)
         False
         >>> age.equals(age_3)
@@ -1296,7 +1301,7 @@ def matches(self, pattern):
 
         Examples
         --------
-        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
 
         All labels starting with "W" and ending with "o" are given by
 
@@ -1329,7 +1334,7 @@ def startswith(self, prefix):
 
         Examples
         --------
-        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
         >>> people.startswith('Bru')
         people['Bruce Wayne', 'Bruce Willis']
         """
@@ -1353,7 +1358,7 @@ def endswith(self, suffix):
 
         Examples
         --------
-        >>> people = Axis('people', ['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
         >>> people.endswith('Dent')
         people['Arthur Dent', 'Harvey Dent']
         """
@@ -1438,7 +1443,7 @@ def translate(self, key, bool_passthrough=True):
 
         Examples
         --------
-        >>> people = Axis('people', ['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'])
+        >>> people = Axis(['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
         >>> people.translate('Waldo')
         3
         >>> people.translate(people.matches('Bruce'))
@@ -1547,7 +1552,7 @@ def __str__(self):
 
     def __repr__(self):
         labels = len(self) if self.iswildcard else list(self.labels)
-        return 'Axis(%r, %r)' % (self.name, labels)
+        return 'Axis(%r, %r)' % (labels, self.name)
 
     def labels_summary(self):
         """
@@ -1555,7 +1560,7 @@ def labels_summary(self):
 
         Examples
         --------
-        >>> Axis('age', 100).labels_summary()
+        >>> Axis(100, 'age').labels_summary()
         '0 1 2 ... 97 98 99'
         """
         def repr_on_strings(v):
@@ -1630,7 +1635,7 @@ def copy(self):
         """
         Returns a copy of the axis.
         """
-        new_axis = Axis(self.name, [])
+        new_axis = Axis([], self.name)
         # XXX: I wonder if we should make a copy of the labels + mapping.
         # There should at least be an option.
         new_axis._labels = self._labels
@@ -1659,15 +1664,15 @@ def replace(self, old, new=None):
 
         Examples
         --------
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> sex = Axis('sex=M,F')
         >>> sex
-        Axis('sex', ['M', 'F'])
+        Axis(['M', 'F'], 'sex')
         >>> sex.replace('M', 'Male')
-        Axis('sex', ['Male', 'F'])
+        Axis(['Male', 'F'], 'sex')
         >>> sex.replace({'M': 'Male', 'F': 'Female'})
-        Axis('sex', ['Male', 'Female'])
+        Axis(['Male', 'Female'], 'sex')
         >>> sex.replace(['M', 'F'], ['Male', 'Female'])
-        Axis('sex', ['Male', 'Female'])
+        Axis(['Male', 'Female'], 'sex')
         """
         if isinstance(old, dict):
             new = list(old.values())
@@ -1685,7 +1690,7 @@ def replace(self, old, new=None):
         labels = self.labels.astype(object)
         indices = self.translate(old)
         labels[indices] = new
-        return Axis(self.name, labels)
+        return Axis(labels, self.name)
 
     # XXX: rename to named like Group?
     def rename(self, name):
@@ -1704,11 +1709,11 @@ def rename(self, name):
 
         Examples
         --------
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> sex = Axis('sex=M,F')
         >>> sex
-        Axis('sex', ['M', 'F'])
+        Axis(['M', 'F'], 'sex')
         >>> sex.rename('gender')
-        Axis('gender', ['M', 'F'])
+        Axis(['M', 'F'], 'gender')
         """
         res = self.copy()
         if isinstance(name, Axis):
@@ -1906,7 +1911,7 @@ def by(self, length, step=None):
 
         Examples
         --------
-        >>> age = Axis('age', range(10))
+        >>> age = Axis(range(10), 'age')
         >>> age[[1, 2, 3, 4, 5]].by(2)
         (age[1, 2], age[3, 4], age[5])
         >>> age[1:5].by(2)
@@ -2199,7 +2204,7 @@ class LSet(LGroup):
 
     Examples
     --------
-    >>> letters = Axis('letters', 'a..z')
+    >>> letters = Axis('letters=a..z')
     >>> abc = letters[':c'].set() >> 'abc'
     >>> abc
     letters['a', 'b', 'c'].set() >> 'abc'
@@ -2359,12 +2364,12 @@ def index_by_id(seq, value):
 
     Examples
     --------
-    >>> age = Axis('age', range(10))
-    >>> sex = Axis('sex', ['M','F'])
-    >>> time = Axis('time', ['2007','2008','2009','2010'])
+    >>> age = Axis('age=0..9')
+    >>> sex = Axis('sex=M,F')
+    >>> time = Axis('time=2007..2010')
     >>> index_by_id([age, sex, time], sex)
     1
-    >>> gender = Axis('sex', ['M', 'F'])
+    >>> gender = Axis('sex=M,F')
     >>> index_by_id([age, sex, time], gender)
     Traceback (most recent call last):
         ...
@@ -2385,15 +2390,15 @@ def _make_axis(obj):
     elif isinstance(obj, tuple):
         assert len(obj) == 2
         name, labels = obj
-        return Axis(name, labels)
+        return Axis(labels, name)
     elif isinstance(obj, Group):
-        return Axis(obj.axis, obj.eval())
+        return Axis(obj.eval(), obj.axis)
     elif isinstance(obj, str) and '=' in obj:
         name, labels = [o.strip() for o in obj.split('=')]
-        return Axis(name, labels)
+        return Axis(labels, name)
     else:
         # int, str, list, ndarray
-        return Axis(None, obj)
+        return Axis(obj)
 
 
 # not using OrderedDict because it does not support indices-based getitem
@@ -2407,7 +2412,7 @@ class AxisCollection(object):
     ----------
     axes : sequence of Axis or int or tuple or str, optional
         An axis can be given as an Axis object, an int or a
-        tuple (name, labels) or a string of the kind
+        tuple (labels, name) or a string of the kind
         'name=label_1,label_2,label_3'.
 
     Raises
@@ -2422,13 +2427,13 @@ class AxisCollection(object):
 
     Examples
     --------
-    >>> age = Axis('age', range(10))
-    >>> AxisCollection([3, age, ('sex', ['M', 'F']), 'time = 2007, 2008, 2009, 2010'])
+    >>> age = Axis(range(10), 'age')
+    >>> AxisCollection([3, age, (['M', 'F'], 'sex'), 'time = 2007, 2008, 2009, 2010'])
     AxisCollection([
-        Axis(None, 3),
-        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
-        Axis('sex', ['M', 'F']),
-        Axis('time', ['2007', '2008', '2009', '2010'])
+        Axis(3, None),
+        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age'),
+        Axis(['M', 'F'], 'sex'),
+        Axis(['2007', '2008', '2009', '2010'], 'time')
     ])
     """
     def __init__(self, axes=None):
@@ -2554,12 +2559,12 @@ def get_by_pos(self, key, i):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, sex, time])
         >>> col.get_by_pos('sex', 1)
-        Axis('sex', ['M', 'F'])
+        Axis(['M', 'F'], 'sex')
         """
         if isinstance(key, Axis) and key.name is None:
             try:
@@ -2704,8 +2709,8 @@ def isaxis(self, value):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
         >>> col = AxisCollection([age, sex])
         >>> col.isaxis(age)
         True
@@ -2769,16 +2774,16 @@ def get(self, key, default=None, name=None):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, time])
         >>> col.get('time')
-        Axis('time', [2007, 2008, 2009, 2010])
+        Axis([2007, 2008, 2009, 2010], 'time')
         >>> col.get('sex', sex)
-        Axis('sex', ['M', 'F'])
+        Axis(['M', 'F'], 'sex')
         >>> col.get('nb_children', None, 'nb_children')
-        Axis('nb_children', 1)
+        Axis(1, 'nb_children')
         """
         # XXX: use if key in self?
         try:
@@ -2787,7 +2792,7 @@ def get(self, key, default=None, name=None):
             if name is None:
                 return default
             else:
-                return Axis(name, 1)
+                return Axis(1, name)
 
     def get_all(self, key):
         """
@@ -2809,17 +2814,17 @@ def get_all(self, key):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
-        >>> city = Axis('city', ['London', 'Paris', 'Rome'])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> city = Axis(['London', 'Paris', 'Rome'], 'city')
         >>> col = AxisCollection([age, sex, time])
         >>> col2 = AxisCollection([age, city, time])
         >>> col.get_all(col2)
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('city', 1),
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(1, 'city'),
+            Axis([2007, 2008, 2009, 2010], 'time')
         ])
         """
         assert isinstance(key, AxisCollection)
@@ -2831,7 +2836,7 @@ def get_pos_default(k, i):
                 if len(k) == 1:
                     return k
                 else:
-                    return Axis(k.name if k.name is not None else i, 1)
+                    return Axis(1, k.name if k.name is not None else i)
 
         return AxisCollection([get_pos_default(k, i)
                                for i, k in enumerate(key)])
@@ -2842,9 +2847,9 @@ def keys(self):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, sex, time]).keys()
         ['age', 'sex', 'time']
         """
@@ -2868,19 +2873,19 @@ def pop(self, axis=-1):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, sex, time])
         >>> col.pop('age')
-        Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])
+        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age')
         >>> col
         AxisCollection([
-            Axis('sex', ['M', 'F']),
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
         ])
         >>> col.pop()
-        Axis('time', [2007, 2008, 2009, 2010])
+        Axis([2007, 2008, 2009, 2010], 'time')
         """
         axis = self[axis]
         del self[axis]
@@ -2897,16 +2902,16 @@ def append(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, sex])
         >>> col.append(time)
         >>> col
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('sex', ['M', 'F']),
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
         ])
         """
         self[len(self):len(self)] = [axis]
@@ -2943,16 +2948,16 @@ def extend(self, axes, validate=True, replace_wildcards=False):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection(age)
         >>> col.extend([sex, time])
         >>> col
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('sex', ['M', 'F']),
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
         ])
         """
         # axes should be a sequence
@@ -3014,9 +3019,9 @@ def index(self, axis):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, sex, time])
         >>> col.index(time)
         2
@@ -3057,16 +3062,16 @@ def insert(self, index, axis):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> col = AxisCollection([age, time])
         >>> col.insert(1, sex)
         >>> col
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]),
-            Axis('sex', ['M', 'F']),
-            Axis('time', [2007, 2008, 2009, 2010])
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
         ])
         """
         self[index:index] = [axis]
@@ -3105,18 +3110,18 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
         >>> axes = ndtest((2, 3)).axes
         >>> axes
         AxisCollection([
-            Axis('a', ['a0', 'a1']),
-            Axis('b', ['b0', 'b1', 'b2'])
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
         ])
-        >>> row = Axis('row', ['r0', 'r1'])
-        >>> column = Axis('column', ['c0', 'c1', 'c2'])
+        >>> row = Axis(['r0', 'r1'], 'row')
+        >>> column = Axis(['c0', 'c1', 'c2'], 'column')
 
         Replace one axis (second argument `new_axis` must be provided)
 
         >>> axes.replace(x.a, row)
         AxisCollection([
-            Axis('row', ['r0', 'r1']),
-            Axis('b', ['b0', 'b1', 'b2'])
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['b0', 'b1', 'b2'], 'b')
         ])
 
         Replace several axes (keywords, list of tuple or dictionary)
@@ -3127,22 +3132,22 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
         >>> # or
         >>> axes.replace({x.a: row, x.b: column})
         AxisCollection([
-            Axis('row', ['r0', 'r1']),
-            Axis('column', ['c0', 'c1', 'c2'])
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
         ])
 
         Replace all axes (list of axes or AxisCollection)
 
         >>> axes.replace([row, column])
         AxisCollection([
-            Axis('row', ['r0', 'r1']),
-            Axis('column', ['c0', 'c1', 'c2'])
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
         ])
         >>> arr = ndrange([row, column])
         >>> axes.replace(arr.axes)
         AxisCollection([
-            Axis('row', ['r0', 'r1']),
-            Axis('column', ['c0', 'c1', 'c2'])
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
         ])
         """
         if isinstance(axes_to_replace, (list, AxisCollection)) and \
@@ -3193,22 +3198,22 @@ def without(self, axes):
 
         Examples
         --------
-        >>> age = Axis('age', '0..5')
-        >>> sex = Axis('sex', 'M,F')
-        >>> time = Axis('time', '2015..2017')
+        >>> age = Axis('age=0..5')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis('time=2015..2017')
         >>> col = AxisCollection([age, sex, time])
         >>> col.without([age, sex])
         AxisCollection([
-            Axis('time', [2015, 2016, 2017])
+            Axis([2015, 2016, 2017], 'time')
         ])
         >>> col.without(0)
         AxisCollection([
-            Axis('sex', ['M', 'F']),
-            Axis('time', [2015, 2016, 2017])
+            Axis(['M', 'F'], 'sex'),
+            Axis([2015, 2016, 2017], 'time')
         ])
         >>> col.without('sex,time')
         AxisCollection([
-            Axis('age', [0, 1, 2, 3, 4, 5])
+            Axis([0, 1, 2, 3, 4, 5], 'age')
         ])
         """
         return self - axes
@@ -3250,9 +3255,9 @@ def translate_full_key(self, key):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', 2009))
         (slice(None, None, None), 1, 2)
         """
@@ -3272,8 +3277,8 @@ def labels(self):
 
         Examples
         --------
-        >>> age = Axis('age', range(10))
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(10), 'age')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, time]).labels  # doctest: +NORMALIZE_WHITESPACE
         [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
          array([2007, 2008, 2009, 2010])]
@@ -3292,9 +3297,9 @@ def names(self):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, sex, time]).names
         ['age', 'sex', 'time']
         """
@@ -3314,10 +3319,10 @@ def display_names(self):
 
         Examples
         --------
-        >>> a = Axis('a', ['a1', 'a2'])
-        >>> b = Axis('b', 2)
-        >>> c = Axis(None, ['c1', 'c2'])
-        >>> d = Axis(None, 3)
+        >>> a = Axis(['a1', 'a2'], 'a')
+        >>> b = Axis(2, 'b')
+        >>> c = Axis(['c1', 'c2'])
+        >>> d = Axis(3)
         >>> AxisCollection([a, b, c, d]).display_names
         ['a', 'b*', '{2}', '{3}*']
         """
@@ -3343,9 +3348,9 @@ def ids(self):
 
         Examples
         --------
-        >>> a = Axis('a', 2)
-        >>> b = Axis(None, 2)
-        >>> c = Axis('c', 2)
+        >>> a = Axis(2, 'a')
+        >>> b = Axis(2)
+        >>> c = Axis(2, 'c')
         >>> AxisCollection([a, b, c]).ids
         ['a', 1, 'c']
         """
@@ -3363,9 +3368,9 @@ def axis_id(self, axis):
 
         Examples
         --------
-        >>> a = Axis('a', 2)
-        >>> b = Axis(None, 2)
-        >>> c = Axis('c', 2)
+        >>> a = Axis(2, 'a')
+        >>> b = Axis(2)
+        >>> c = Axis(2, 'c')
         >>> col = AxisCollection([a, b, c])
         >>> col.axis_id(a)
         'a'
@@ -3389,9 +3394,9 @@ def shape(self):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, sex, time]).shape
         (20, 2, 4)
         """
@@ -3410,9 +3415,9 @@ def size(self):
 
         Examples
         --------
-        >>> age = Axis('age', range(20))
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, sex, time]).size
         160
         """
@@ -3430,9 +3435,9 @@ def info(self):
 
         Examples
         --------
-        >>> age = Axis('age', 20)
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> time = Axis('time', [2007, 2008, 2009, 2010])
+        >>> age = Axis(20, 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> AxisCollection([age, sex, time]).info
         20 x 2 x 4
          age* [20]: 0 1 2 ... 17 18 19
@@ -3483,7 +3488,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
             combined_name = sep.join(str(id_) for id_ in axes.ids)
 
         if wildcard:
-            combined_axis = Axis(combined_name, axes.size)
+            combined_axis = Axis(axes.size, combined_name)
         else:
             # TODO: the combined keys should be objects which display as:
             # (axis1_label, axis2_label, ...) but which should also store
@@ -3499,7 +3504,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
                 combined_labels = [sep.join(str(l) for l in p)
                                    for p in product(*axes.labels)]
 
-            combined_axis = Axis(combined_name, combined_labels)
+            combined_axis = Axis(combined_labels, combined_name)
         new_axes = self - axes
         new_axes.insert(combined_axis_pos, combined_axis)
         return new_axes
@@ -3552,8 +3557,7 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
             split_labels = [rx.match(l).groups() for l in axis.labels]
         # not using np.unique because we want to keep the original order
         axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
-        split_axes = [Axis(name, axis_labels)
-                      for name, axis_labels in zip(names, axes_labels)]
+        split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, names)]
         return self[:axis_index] + split_axes + self[axis_index + 1:]
 
 
@@ -3783,7 +3787,7 @@ def concat_empty(axis, arrays_axes, dtype):
         arrays_labels = [np.asarray(labels, dtype=object)
                          for labels in arrays_labels]
     new_labels = np.concatenate(arrays_labels)
-    combined_axis = Axis(arrays_axis[0].name, new_labels)
+    combined_axis = Axis(new_labels, arrays_axis[0].name)
 
     new_axes = [axes.replace(axis, combined_axis)
                 for axes, axis in zip(arrays_axes, arrays_axis)]
@@ -3928,12 +3932,12 @@ def get_axis(obj, i):
     a1 |  b0 |  4 |  5
     a1 |  b1 |  6 |  7
     >>> get_axis(arr, 1)
-    Axis('b', ['b0', 'b1'])
+    Axis(['b0', 'b1'], 'b')
     >>> np_arr = np.zeros((2, 2, 2))
     >>> get_axis(np_arr, 1)
-    Axis(None, 2)
+    Axis(2, None)
     """
-    return obj.axes[i] if isinstance(obj, LArray) else Axis(None, obj.shape[i])
+    return obj.axes[i] if isinstance(obj, LArray) else Axis(obj.shape[i])
 
 
 def aslarray(a):
@@ -4150,9 +4154,9 @@ class LArray(object):
 
     Examples
     --------
-    >>> age = Axis('age', [10, 11, 12])
-    >>> sex = Axis('sex', ['M', 'F'])
-    >>> time = Axis('time', [2007, 2008, 2009])
+    >>> age = Axis([10, 11, 12], 'age')
+    >>> sex = Axis('sex=M,F')
+    >>> time = Axis([2007, 2008, 2009], 'time')
     >>> axes = [age, sex, time]
     >>> data = np.zeros((len(axes), len(sex), len(time)))
     >>> LArray(data, axes)
@@ -4278,8 +4282,8 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         a\\b | b0 | b1 | b2
          a0 |  0 |  1 |  2
          a1 |  3 |  4 |  5
-        >>> row = Axis('row', ['r0', 'r1'])
-        >>> column = Axis('column', ['c0', 'c1', 'c2'])
+        >>> row = Axis(['r0', 'r1'], 'row')
+        >>> column = Axis(['c0', 'c1', 'c2'], 'column')
 
         Replace one axis (second argument `new_axis` must be provided)
 
@@ -4590,9 +4594,9 @@ def describe(self, *args, **kwargs):
         # TODO: we should use the commented code using  *self.percentile(percentiles, *args) but this does not work
         # when *args is not empty (see https://github.com/liam2/larray/issues/192)
         # return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args),
-        #               *self.percentile(percentiles, *args)], Axis('stats', labels))
+        #               *self.percentile(percentiles, *args)], Axis(labels, 'stats'))
         return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args)] +
-                     [self.percentile(p, *args) for p in percentiles], Axis('statistic', labels))
+                     [self.percentile(p, *args) for p in percentiles], Axis(labels, 'statistic'))
 
     def describe_by(self, *args, **kwargs):
         """
@@ -4697,8 +4701,8 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
         >>> arr = ndrange([nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -4798,8 +4802,8 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         a\\b |  b0 |  b1 |  b2
          a0 | 0.0 | 1.0 | nan
          a1 | 2.0 | 3.0 | nan
-        >>> a = Axis('a', ['a1', 'a2', 'a0'])
-        >>> b = Axis('b', ['b2', 'b1', 'b0'])
+        >>> a = Axis(['a1', 'a2', 'a0'], 'a')
+        >>> b = Axis(['b2', 'b1', 'b0'], 'b')
         >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
         a\\b | b2 | b1 | b0
          a1 | -1 |  3 |  2
@@ -4814,7 +4818,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         if not np.isscalar(fill_value):
             raise TypeError("fill_value must be a scalar")
         if isinstance(new_axis, (int, basestring, list, tuple)):
-            new_axis = Axis(self.axes[axes_to_reindex].name, new_axis)
+            new_axis = Axis(new_axis, self.axes[axes_to_reindex].name)
         res_axes = self.axes.replace(axes_to_reindex, new_axis, **kwargs)
         res = full(res_axes, fill_value, dtype=common_type((self.data, fill_value)))
         labels = tuple(axis[axis.labels] for axis in self.axes)
@@ -4842,9 +4846,9 @@ def sort_values(self, key, reverse=False):
 
         Examples
         --------
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
-        >>> xtype = Axis('type', ['type1', 'type2'])
+        >>> sex = Axis('sex=M,F')
+        >>> nat = Axis('nat=EU,FO,BE')
+        >>> xtype = Axis('type=type1,type2')
         >>> a = LArray([[10, 2, 4], [3, 7, 1]], [sex, nat])
         >>> a
         sex\\nat | EU | FO | BE
@@ -4915,8 +4919,8 @@ def sort_axis(self, axes=None, reverse=False):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['EU', 'FO', 'BE'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=EU,FO,BE')
+        >>> sex = Axis('sex=M,F')
         >>> a = ndrange([nat, sex])
         >>> a
         nat\\sex | M | F
@@ -5140,7 +5144,7 @@ def _translated_key(self, key, bool_stuff=False):
                 # >>> x1, x2 = a.axes
                 # >>> a[x2 > 2]
 
-                # the current solution with hash = (name, labels) works
+                # the current solution with hash = (labels, name) works
                 # but is slow for large axes and broken if axis labels are
                 # modified in-place, which I am unsure I want to support
                 # anyway
@@ -5371,7 +5375,7 @@ def __setitem__(self, key, value, collapse_slices=True):
                 # of 1 element, which does not remove the dimension like scalars
                 # normally do
                 axes = [axis.subaxis(axis_key) if not np.isscalar(axis_key)
-                        else Axis(axis.name, 1)
+                        else Axis(1, axis.name)
                         for axis, axis_key in zip(self.axes, translated_key)]
             else:
                 axes = [axis.subaxis(axis_key)
@@ -5437,7 +5441,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                            not np.isscalar(axis_key)]
                 combined_axis_len = lengths[0]
                 assert all(l == combined_axis_len for l in lengths)
-                combined_axis = Axis(combined_name, combined_axis_len)
+                combined_axis = Axis(combined_axis_len, combined_name)
             else:
                 # TODO: the combined keys should be objects which display as:
                 # (axis1_label, axis2_label, ...) but which should also store
@@ -5456,9 +5460,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                 else:
                     combined_labels = list(zip(*axes_labels))
 
-                # CRAP, this can lead to duplicate labels (especially using
-                # .points)
-                combined_axis = Axis(combined_name, combined_labels)
+                # CRAP, this can lead to duplicate labels (especially using .points)
+                combined_axis = Axis(combined_labels, combined_name)
             new_axes.insert(combined_axis_pos, combined_axis)
         return AxisCollection(new_axes)
 
@@ -5523,8 +5526,8 @@ def reshape(self, target_axes):
         a0 |  b1 |  2 |  3
         a1 |  b0 |  4 |  5
         a1 |  b1 |  6 |  7
-        >>> new_arr = arr.reshape([Axis('a', ['a0','a1']),
-        ... Axis('bc', ['b0c0', 'b0c1', 'b1c0', 'b1c1'])])
+        >>> new_arr = arr.reshape([Axis('a=a0,a1'),
+        ... Axis(['b0c0', 'b0c1', 'b1c0', 'b1c1'], 'bc')])
         >>> new_arr
         a\\bc | b0c0 | b0c1 | b1c0 | b1c1
           a0 |    0 |    1 |    2 |    3
@@ -5640,9 +5643,9 @@ def drop_labels(self, axes=None):
 
         Examples
         --------
-        >>> a = Axis('a', ['a1', 'a2'])
-        >>> b = Axis('b', ['b1', 'b2'])
-        >>> b2 = Axis('b', ['b2', 'b3'])
+        >>> a = Axis('a=a1,a2')
+        >>> b = Axis('b=b1,b2')
+        >>> b2 = Axis('b=b2,b3')
         >>> arr1 = ndrange([a, b])
         >>> arr1
         a\\b | b1 | b2
@@ -5665,9 +5668,9 @@ def drop_labels(self, axes=None):
         Traceback (most recent call last):
         ...
         ValueError: incompatible axes:
-        Axis('b', ['b2', 'b3'])
+        Axis(['b2', 'b3'], 'b')
         vs
-        Axis('b', ['b1', 'b2'])
+        Axis(['b1', 'b2'], 'b')
         >>> arr1 * arr2.drop_labels()
         a\\b | b1 | b2
          a1 |  0 |  1
@@ -5686,7 +5689,7 @@ def drop_labels(self, axes=None):
         if not isinstance(axes, (tuple, list, AxisCollection)):
             axes = [axes]
         old_axes = self.axes[axes]
-        new_axes = [Axis(axis.name, len(axis)) for axis in old_axes]
+        new_axes = [Axis(len(axis), axis.name) for axis in old_axes]
         res_axes = self.axes[:]
         res_axes[axes] = new_axes
         return LArray(self.data, res_axes)
@@ -5844,7 +5847,7 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         res_data = op(src_data, axis=axes_indices, **kwargs)
         if keepaxes:
             label = op.__name__.replace('nan', '') if keepaxes is True else keepaxes
-            new_axes = [Axis(axis.name, [label]) for axis in axes]
+            new_axes = [Axis([label], axis.name) for axis in axes]
             res_axes = self.axes[:]
             res_axes[axes] = new_axes
         else:
@@ -5955,7 +5958,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 # though this creates a new axis that is independent from the
                 # original one because the original name is what users will
                 # want to use to access that axis (eg in .filter kwargs)
-                res_axes[axis_idx] = Axis(axis.name, groups)
+                res_axes[axis_idx] = Axis(groups, axis.name)
 
             if isinstance(res_data, np.ndarray):
                 res = LArray(res_data, res_axes)
@@ -5963,8 +5966,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 res = res_data
         return res
 
-    def _prepare_aggregate(self, op, args, kwargs=None, commutative=False,
-                           stack_depth=1):
+    def _prepare_aggregate(self, op, args, kwargs=None, commutative=False, stack_depth=1):
         """converts args to keys & VG and kwargs to VG"""
 
         if kwargs is None:
@@ -6182,8 +6184,8 @@ def argmin(self, axis=None):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6223,8 +6225,8 @@ def posargmin(self, axis=None):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6262,8 +6264,8 @@ def argmax(self, axis=None):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6303,8 +6305,8 @@ def posargmax(self, axis=None):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6344,8 +6346,8 @@ def argsort(self, axis=None, kind='quicksort'):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6388,8 +6390,8 @@ def posargsort(self, axis=None, kind='quicksort'):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FR', 'IT'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FR,IT')
+        >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[1, 5], [3, 2], [0, 4]], [nat, sex])
         >>> arr
         nat\\sex | M | F
@@ -6408,7 +6410,7 @@ def posargsort(self, axis=None, kind='quicksort'):
             axis = self.axes[0]
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
         data = self.data.argsort(axis_idx, kind=kind)
-        new_axis = Axis(axis.name, np.arange(len(axis)))
+        new_axis = Axis(np.arange(len(axis)), axis.name)
         return LArray(data, self.axes.replace(axis, new_axis))
 
     def copy(self):
@@ -6427,8 +6429,8 @@ def info(self):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
         >>> mat0 = ones([nat, sex])
         >>> mat0.info
         2 x 2
@@ -6461,8 +6463,8 @@ def ratio(self, *axes):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
         >>> a
         nat\\sex | M | F
@@ -6553,8 +6555,8 @@ def rationot0(self, *axes):
 
         Examples
         --------
-        >>> a = Axis('a', 'a0,a1')
-        >>> b = Axis('b', 'b0,b1,b2')
+        >>> a = Axis('a=a0,a1')
+        >>> b = Axis('b=b0,b1,b2')
         >>> arr = LArray([[6, 0, 2],
         ...               [4, 0, 8]], [a, b])
         >>> arr
@@ -6596,8 +6598,8 @@ def percent(self, *axes):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
         >>> a
         nat\\sex | M | F
@@ -8399,8 +8401,8 @@ def divnot0(self, other):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
         >>> a = ndrange((nat, sex))
         >>> a
         nat\\sex | M | F
@@ -8459,14 +8461,14 @@ def expand(self, target_axes=None, out=None, readonly=False):
 
         Examples
         --------
-        >>> a = Axis('a', ['a1', 'a2'])
-        >>> b = Axis('b', ['b1', 'b2'])
+        >>> a = Axis('a=a1,a2')
+        >>> b = Axis('b=b1,b2')
         >>> arr = ndrange([a, b])
         >>> arr
         a\\b | b1 | b2
          a1 |  0 |  1
          a2 |  2 |  3
-        >>> c = Axis('c', ['c1', 'c2'])
+        >>> c = Axis('c=c1,c2')
         >>> arr.expand([a, c, b])
          a | c\\b | b1 | b2
         a1 |  c1 |  0 |  1
@@ -8564,7 +8566,7 @@ def append(self, axis, value, label=None):
         # This does not prevent value to have more axes than self.
         # We do not use .expand(..., readonly=True) so that the code is more
         # similar to .prepend().
-        target_axes = self.axes.replace(axis, Axis(axis.name, [label]))
+        target_axes = self.axes.replace(axis, Axis([label], axis.name))
         value = value.broadcast_with(target_axes)
         return self.extend(axis, value)
 
@@ -8620,7 +8622,7 @@ def prepend(self, axis, value, label=None):
         if np.isscalar(value):
             value = LArray(np.asarray(value, self.dtype))
         # This does not prevent value to have more axes than self
-        target_axes = self.axes.replace(axis, Axis(axis.name, [label]))
+        target_axes = self.axes.replace(axis, Axis([label], axis.name))
         # We cannot simply add the "new" axis to value (e.g. using expand)
         # because the resulting axes would not be in the correct order.
         value = value.broadcast_with(target_axes)
@@ -8645,10 +8647,10 @@ def extend(self, axis, other):
 
         Examples
         --------
-        >>> nat = Axis('nat', ['BE', 'FO'])
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> sex2 = Axis('sex', ['U'])
-        >>> xtype = Axis('type', ['type1', 'type2'])
+        >>> nat = Axis('nat=BE,FO')
+        >>> sex = Axis('sex=M,F')
+        >>> sex2 = Axis('sex=U')
+        >>> xtype = Axis('type=type1,type2')
         >>> arr1 = ones([sex, xtype])
         >>> arr1
         sex\\type | type1 | type2
@@ -8717,7 +8719,7 @@ def transpose(self, *args):
         b0 |  a1 |  4 |  5
         b1 |  a0 |  2 |  3
         b1 |  a1 |  6 |  7
-        >>> arr.transpose(..., 'a')  # doctest: +SKIP 
+        >>> arr.transpose(..., 'a')  # doctest: +SKIP
          b | c\\a | a0 | a1
         b0 |  c0 |  0 |  4
         b0 |  c1 |  1 |  5
@@ -9349,7 +9351,7 @@ def set_labels(self, axis, labels=None, inplace=False):
             if isinstance(axis_changes, dict):
                 new_axis = real_axis.replace(axis_changes)
             else:
-                new_axis = Axis(real_axis.name, axis_changes)
+                new_axis = Axis(axis_changes, real_axis.name)
             new_axes.append((old_axis, new_axis))
         axes = self.axes.replace(new_axes)
 
@@ -9497,8 +9499,8 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
 
         Examples
         --------
-        >>> sex = Axis('sex', ['M', 'F'])
-        >>> year = Axis('year', range(2016, 2020))
+        >>> sex = Axis('sex=M,F')
+        >>> year = Axis(range(2016, 2020), 'year')
         >>> a = LArray([[1.0, 2.0, 3.0, 3.0], [2.0, 3.0, 1.5, 3.0]],
         ...            [sex, year])
         >>> a
@@ -9530,7 +9532,7 @@ def compact(self):
         Examples
         --------
         >>> a = LArray([[1, 2],
-        ...             [1, 2]], [Axis('sex', 'M,F'), Axis('nat', 'BE,FO')])
+        ...             [1, 2]], [Axis('sex=M,F'), Axis('nat=BE,FO')])
         >>> a
         sex\\nat | BE | FO
               M |  1 |  2
@@ -9767,7 +9769,7 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
     axes_names = [str(name) if name is not None else name
                   for name in axes_names]
 
-    axes = [Axis(name, labels) for name, labels in zip(axes_names, axes_labels)]
+    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
     data = df.values.reshape([len(axis) for axis in axes])
     return LArray(data, axes)
 
@@ -10143,17 +10145,17 @@ def zeros(axes, title='', dtype=float, order='C'):
 
     Examples
     --------
-    >>> zeros([('nat', ['BE', 'FO']),
-    ...        ('sex', ['M', 'F'])])
+    >>> zeros('nat=BE,FO;sex=M,F')
     nat\sex |   M |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
-    >>> zeros('nat=BE,FO;sex=M,F')
+    >>> zeros([(['BE', 'FO'], 'nat'),
+    ...        (['M', 'F'], 'sex')])
     nat\sex |   M |   F
          BE | 0.0 | 0.0
          FO | 0.0 | 0.0
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> zeros([nat, sex])
     nat\sex |   M |   F
          BE | 0.0 | 0.0
@@ -10219,8 +10221,8 @@ def ones(axes, title='', dtype=float, order='C'):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> ones([nat, sex])
     nat\\sex |   M |   F
          BE | 1.0 | 1.0
@@ -10287,8 +10289,8 @@ def empty(axes, title='', dtype=float, order='C'):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> empty([nat, sex])  # doctest: +SKIP
     nat\\sex |                  M |                  F
          BE | 2.47311483356e-315 | 2.47498446195e-315
@@ -10357,8 +10359,8 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> full([nat, sex], 42.0)
     nat\\sex |    M |    F
          BE | 42.0 | 42.0
@@ -10436,7 +10438,7 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     Parameters
     ----------
     axis : axis definition (Axis, str, int)
-        Axis along which to apply mod. An axis definition can be passed as a string. An int will be interpreted as the 
+        Axis along which to apply mod. An axis definition can be passed as a string. An int will be interpreted as the
         length for a new anonymous axis.
     initial : scalar or LArray, optional
         Value for the first label of axis. Defaults to 0.
@@ -10456,8 +10458,8 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
 
     Examples
     --------
-    >>> year = Axis('year', '2016..2019')
-    >>> sex = Axis('sex', 'M,F')
+    >>> year = Axis('year=2016..2019')
+    >>> sex = Axis('sex=M,F')
     >>> create_sequential(year)
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
@@ -10643,7 +10645,7 @@ def ndrange(axes, start=0, title='', dtype=int):
                       length.
         * str: coma separated list of labels, with optional leading '=' to
                set the name of the axis. eg. "a,b,c" or "sex=F,M"
-        * (name, labels) pair: name and labels of axis
+        * (labels, name) pair: name and labels of axis
     start : number, optional
     title : str, optional
         Title.
@@ -10656,23 +10658,23 @@ def ndrange(axes, start=0, title='', dtype=int):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> ndrange([nat, sex])
     nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> ndrange([('nat', ['BE', 'FO']),
-    ...          ('sex', ['M', 'F'])])
+    >>> ndrange(['nat=BE,FO', 'sex=M,F'])
     nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> ndrange([('nat', 'BE,FO'),
-    ...          ('sex', 'M,F')])
+    >>> ndrange([(['BE', 'FO'], 'nat'),
+    ...          (['M', 'F'], 'sex')])
     nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
-    >>> ndrange(['nat=BE,FO', 'sex=M,F'])
+    >>> ndrange([('BE,FO', 'nat'),
+    ...          ('M,F', 'sex')])
     nat\\sex | M | F
          BE | 0 | 1
          FO | 2 | 3
@@ -10747,7 +10749,7 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     axes_names = [chr(ord('a') + i) for i in range(a.ndim)]
     label_ranges = [range(label_start, label_start + length)
                     for length in a.shape]
-    new_axes = [Axis(name, [name + str(i) for i in label_range])
+    new_axes = [Axis([name + str(i) for i in label_range], name)
                 for name, label_range in zip(axes_names, label_ranges)]
     return LArray(a.data, new_axes)
 
@@ -10795,8 +10797,8 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> a = ndrange([nat, sex], start=1)
     >>> a
     nat\\sex | M | F
@@ -10827,8 +10829,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
         if split and isinstance(axis_name, str) and ',' in axis_name:
             axes_names = axis_name.split(',')
             axes_labels = list(zip(*np.char.split(axis.labels, ',')))
-            axes = [Axis(name, labels)
-                    for name, labels in zip(axes_names, axes_labels)]
+            axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
         else:
             axes = [axis] + [axis.copy() for _ in range(ndim - 1)]
         res = zeros(axes, dtype=a.dtype)
@@ -10864,8 +10865,8 @@ def labels_array(axes, title=''):
 
     Examples
     --------
-    >>> nat = Axis('nat', ['BE', 'FO'])
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> labels_array(sex)
     sex | M | F
         | M | F
@@ -10882,7 +10883,7 @@ def labels_array(axes, title=''):
     #      FO | FO,M | FO,F
     axes = AxisCollection(axes)
     if len(axes) > 1:
-        res_axes = axes + Axis('axis', axes.names)
+        res_axes = axes + Axis(axes.names, 'axis')
         res_data = np.empty(res_axes.shape, dtype=object)
         res_data.flat[:] = list(product(*axes.labels))
         # XXX: I wonder if it wouldn't be better to return LGroups or a
@@ -10934,7 +10935,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     {0}*\\{1}* | 0 | 1
             0 | 1 | 0
             1 | 0 | 1
-    >>> sex = Axis('sex', ['M', 'F'])
+    >>> sex = Axis('sex=M,F')
     >>> eye(sex)
     sex\\sex |   M |   F
           M | 1.0 | 0.0
@@ -10958,7 +10959,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 #      => potentially longer
 #      => unsure for now. The most important point is that it should be
 #         consistent with other functions.
-# stack(a1, a2, axis=Axis('sex', 'M,F'))
+# stack(a1, a2, axis=Axis('M,F', 'sex'))
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
 
@@ -11042,8 +11043,8 @@ def stack(arrays, axis=None, title=''):
 
     Examples
     --------
-    >>> nat = Axis('nat', 'BE, FO')
-    >>> sex = Axis('sex', 'M, F')
+    >>> nat = Axis('nat=BE,FO')
+    >>> sex = Axis('sex=M,F')
     >>> arr1 = ones(nat)
     >>> arr1
     nat |  BE |  FO
@@ -11090,7 +11091,7 @@ def stack(arrays, axis=None, title=''):
           FO | 1.0 | 0.0
     """
     if isinstance(axis, str) and '=' in axis:
-        axis = Axis(*axis.split('='))
+        axis = Axis(axis)
     # LArray arrays could be interesting
     if isinstance(arrays, LArray):
         if axis is None:
@@ -11112,12 +11113,12 @@ def stack(arrays, axis=None, title=''):
                 assert np.array_equal(axis.labels, keys)
             else:
                 # None or str
-                axis = Axis(axis, keys)
+                axis = Axis(keys, axis)
             values = [v for k, v in arrays]
         else:
             values = arrays
             if axis is None or isinstance(axis, basestring):
-                axis = Axis(axis, len(arrays))
+                axis = Axis(len(arrays), axis)
             else:
                 assert len(axis) == len(arrays)
     else:
diff --git a/larray/excel.py b/larray/excel.py
index 8623fbbc6..2cfabf47b 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -299,8 +299,7 @@ def array(self, data, row_labels=None, column_labels=None, names=None):
                 column_labels = np.array(self[column_labels].value)
             if names is not None:
                 labels = (row_labels, column_labels)
-                axes = [Axis(name, axis_labels)
-                        for name, axis_labels in zip(names, labels)]
+                axes = [Axis(axis_labels, name) for axis_labels, name in zip(labels, names)]
             else:
                 axes = (row_labels, column_labels)
             return LArray(self[data], axes)
diff --git a/larray/ipfp.py b/larray/ipfp.py
index 990e8694e..001576649 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -8,8 +8,7 @@
 def badvalues(a, bad_filter):
     bad_values = a[bad_filter]
     assert bad_values.ndim == 1
-    return '\n'.join('%s: %s' % (k, v)
-                     for k, v in zip(bad_values.axes[0], bad_values))
+    return '\n'.join('%s: %s' % (k, v) for k, v in zip(bad_values.axes[0], bad_values))
 
 
 def f2str(f, threshold=2):
@@ -76,10 +75,9 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     --------
     >>> from larray import *
     >>> from larray.ipfp import ipfp
-    >>> a = Axis('a', 'a0,a1')
-    >>> b = Axis('b', 'b0,b1')
-    >>> initial = LArray([[2, 1],
-    ...                   [1, 2]], [a, b])
+    >>> a = Axis('a=a0,a1')
+    >>> b = Axis('b=b0,b1')
+    >>> initial = LArray([[2, 1], [1, 2]], [a, b])
     >>> initial
     a\\b | b0 | b1
      a0 |  2 |  1
diff --git a/larray/session.py b/larray/session.py
index 3fce06060..2e235ba48 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -526,7 +526,7 @@ def __eq__(self, other):
         all_keys = list(self.keys()) + [n for n in other.keys()
                                         if n not in self_keys]
         res = [larray_nan_equal(self.get(key), other.get(key)) for key in all_keys]
-        return LArray(res, [Axis('name', all_keys)])
+        return LArray(res, [Axis(all_keys, 'name')])
 
     def __ne__(self, other):
         return ~(self == other)
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index 2479fbe69..a2e22e204 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -10,23 +10,20 @@
 
 class TestIPFP(TestCase):
     def test_ipfp(self):
-        a = Axis('a', 2)
-        b = Axis('b', 2)
-        initial = LArray([[2, 1],
-                          [1, 2]], [a, b])
+        a = Axis(2, 'a')
+        b = Axis(2, 'b')
+        initial = LArray([[2, 1], [1, 2]], [a, b])
 
         # array sums already match target sums
         # [3, 3], [3, 3]
         r = ipfp([initial.sum(a), initial.sum(b)], initial)
-        assert_array_equal(r, [[2, 1],
-                               [1, 2]])
+        assert_array_equal(r, [[2, 1], [1, 2]])
 
         # array sums do not match target sums (ie the usual case)
         along_a = LArray([2, 1], b)
         along_b = LArray([1, 2], a)
         r = ipfp([along_a, along_b], initial)
-        assert_array_equal(r, [[0.8, 0.2],
-                               [1.0, 1.0]])
+        assert_array_equal(r, [[0.8, 0.2], [1.0, 1.0]])
 
         # same as above but using a more precise threshold
         r = ipfp([along_a, along_b], initial, threshold=0.01)
@@ -41,16 +38,16 @@ def test_ipfp(self):
 
     def test_ipfp_no_values(self):
         # 6, 12, 18
-        along_a = ndrange([('b', 3)], start=1) * 6
+        along_a = ndrange([(3, 'b')], start=1) * 6
         # 6, 12, 18
-        along_b = ndrange([('a', 3)], start=1) * 6
+        along_b = ndrange([(3, 'a')], start=1) * 6
         r = ipfp([along_a, along_b])
         assert_array_equal(r, [[1.0, 2.0, 3.0],
                                [2.0, 4.0, 6.0],
                                [3.0, 6.0, 9.0]])
 
-        along_a = LArray([2, 1], Axis('b', 2))
-        along_b = LArray([1, 2], Axis('a', 2))
+        along_a = LArray([2, 1], Axis(2, 'b'))
+        along_b = LArray([1, 2], Axis(2, 'a'))
         r = ipfp([along_a, along_b])
         assert_array_equal(r, [[2 / 3, 1 / 3],
                                [4 / 3, 2 / 3]])
@@ -66,35 +63,29 @@ def test_ipfp_no_values_no_name(self):
                                [4 / 3, 2 / 3]])
 
     def test_ipfp_no_name(self):
-        initial = LArray([[2, 1],
-                          [1, 2]])
+        initial = LArray([[2, 1], [1, 2]])
 
         # sums already correct
         # [3, 3], [3, 3]
         r = ipfp([initial.sum(axis=0), initial.sum(axis=1)], initial)
-        assert_array_equal(r, [[2, 1],
-                               [1, 2]])
+        assert_array_equal(r, [[2, 1], [1, 2]])
 
         # different sums (ie the usual case)
         along_a = LArray([2, 1])
         along_b = LArray([1, 2])
         r = ipfp([along_a, along_b], initial)
-        assert_array_equal(r, [[0.8, 0.2],
-                               [1.0, 1.0]])
+        assert_array_equal(r, [[0.8, 0.2], [1.0, 1.0]])
 
     def test_ipfp_non_larray(self):
-        initial = [[2, 1],
-                   [1, 2]]
+        initial = [[2, 1], [1, 2]]
 
         # sums already correct
         r = ipfp([[3, 3], [3, 3]], initial)
-        assert_array_equal(r, [[2, 1],
-                               [1, 2]])
+        assert_array_equal(r, [[2, 1], [1, 2]])
 
         # different sums (ie the usual case)
         r = ipfp([[2, 1], [1, 2]], initial)
-        assert_array_equal(r, [[0.8, 0.2],
-                               [1.0, 1.0]])
+        assert_array_equal(r, [[0.8, 0.2], [1.0, 1.0]])
 
 if __name__ == "__main__":
     unittest.main()
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index d6fe32ae6..fd7ae2de5 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -122,27 +122,27 @@ def test_init(self):
         sex_array = np.array(sex_list)
 
         # tuple of strings
-        assert_array_equal(Axis('sex', sex_tuple).labels, sex_array)
+        assert_array_equal(Axis(sex_tuple, 'sex').labels, sex_array)
         # list of strings
-        assert_array_equal(Axis('sex', sex_list).labels, sex_array)
+        assert_array_equal(Axis(sex_list, 'sex').labels, sex_array)
         # array of strings
-        assert_array_equal(Axis('sex', sex_array).labels, sex_array)
+        assert_array_equal(Axis(sex_array, 'sex').labels, sex_array)
         # single string
-        assert_array_equal(Axis('sex', 'M,F').labels, sex_array)
+        assert_array_equal(Axis('sex=M,F').labels, sex_array)
         # list of ints
-        assert_array_equal(Axis('age', range(116)).labels, np.arange(116))
+        assert_array_equal(Axis(range(116), 'age').labels, np.arange(116))
         # range-string
-        assert_array_equal(Axis('age', '..115').labels, np.arange(116))
+        assert_array_equal(Axis('..115', 'age').labels, np.arange(116))
 
     def test_equals(self):
-        self.assertTrue(Axis('sex', 'M,F').equals(Axis('sex', 'M,F')))
-        self.assertTrue(Axis('sex', 'M,F').equals(Axis('sex', ['M', 'F'])))
-        self.assertFalse(Axis('sex', 'M,W').equals(Axis('sex', 'M,F')))
-        self.assertFalse(Axis('sex1', 'M,F').equals(Axis('sex2', 'M,F')))
-        self.assertFalse(Axis('sex1', 'M,W').equals(Axis('sex2', 'M,F')))
+        self.assertTrue(Axis('sex=M,F').equals(Axis('sex=M,F')))
+        self.assertTrue(Axis('sex=M,F').equals(Axis(['M', 'F'], 'sex')))
+        self.assertFalse(Axis('sex=M,W').equals(Axis('sex=M,F')))
+        self.assertFalse(Axis('sex1=M,F').equals(Axis('sex2=M,F')))
+        self.assertFalse(Axis('sex1=M,W').equals(Axis('sex2=M,F')))
 
     def test_getitem(self):
-        age = Axis('age', '0..10')
+        age = Axis('age=0..10')
         # a tuple
         a159 = age[1, 5, 9]
         self.assertEqual(a159.key, [1, 5, 9])
@@ -187,7 +187,7 @@ def group_equal(g1, g2):
             return (g1.key == g2.key and g1.name == g2.name and
                     g1.axis is g2.axis)
 
-        age = Axis('age', range(100))
+        age = Axis(range(100), 'age')
         ages = [1, 5, 9]
 
         val_only = LGroup(ages)
@@ -207,8 +207,8 @@ def group_equal(g1, g2):
         self.assertTrue(group_equal(age[val_axis_name] >> 'a_name', LGroup(ages, 'a_name', age)))
 
     def test_getitem_group_keys(self):
-        a = Axis('a', 'a0..a2')
-        alt_a = Axis('a', 'a1..a3')
+        a = Axis('a=a0..a2')
+        alt_a = Axis('a=a1..a3')
 
         # a) key is a single LGroup
         # -------------------------
@@ -468,23 +468,23 @@ def test_getitem_group_keys(self):
         self.assertIs(g[1].axis, alt_a)
 
     def test_init_from_group(self):
-        code = Axis('code', 'C01..C03')
+        code = Axis('code=C01..C03')
         code_group = code[:'C02']
-        subset_axis = Axis('code_subset', code_group)
+        subset_axis = Axis(code_group, 'code_subset')
         assert_array_equal(subset_axis.labels, ['C01', 'C02'])
 
     def test_match(self):
-        sutcode = Axis('sutcode', ['A23', 'A2301', 'A25', 'A2501'])
+        sutcode = Axis(['A23', 'A2301', 'A25', 'A2501'], 'sutcode')
         self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
         self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
         self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
 
     def test_iter(self):
-        sex = Axis('sex', 'M,F')
+        sex = Axis('sex=M,F')
         self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
 
     def test_positional(self):
-        age = Axis('age', '..115')
+        age = Axis('age=0..115')
 
         # these are NOT equivalent (not translated until used in an LArray
         # self.assertEqual(age.i[:17], age[':17'])
@@ -494,7 +494,7 @@ def test_positional(self):
 
     def test_contains(self):
         # normal Axis
-        age = Axis('age', '..10')
+        age = Axis('age=0..10')
 
         age2 = age[2]
         age2bis = age[(2,)]
@@ -538,7 +538,7 @@ def test_contains(self):
         # aggregated Axis
         # FIXME: _to_tick(age2) == 2, but then np.asarray([2, '2,4,7', ...]) returns np.array(['2', '2,4,7'])
         # instead of returning an object array
-        agg = Axis("agg", (age2, age247, age359, age468, '2,6', ['3', '5', '7'], ('6', '7', '9')))
+        agg = Axis((age2, age247, age359, age468, '2,6', ['3', '5', '7'], ('6', '7', '9')), "agg")
         # fails because of above FIXME
         # self.assertTrue(age2 in agg)
         self.assertFalse(age2bis in agg)
@@ -589,9 +589,9 @@ def test_contains(self):
 
 class TestLGroup(TestCase):
     def setUp(self):
-        self.age = Axis('age', '0..10')
-        self.lipro = Axis('lipro', 'P01..P05')
-        self.anonymous = Axis(None, range(3))
+        self.age = Axis('age=0..10')
+        self.lipro = Axis('lipro=P01..P05')
+        self.anonymous = Axis(range(3))
 
         self.slice_both_named_wh_named_axis = LGroup('1:5', "full", self.age)
         self.slice_both_named = LGroup('1:5', "named")
@@ -681,7 +681,7 @@ def test_repr(self):
         self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
         self.assertEqual(repr(self.slice_none_wh_named_axis), "lipro[:]")
         self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
-                         "LGroup(slice(None, None, None), axis=Axis(None, [0, 1, 2]))")
+                         "LGroup(slice(None, None, None), axis=Axis([0, 1, 2], None))")
 
 
 class TestLSet(TestCase):
@@ -692,7 +692,7 @@ def test_or(self):
         self.assertEqual(LSet(['a', 'b', 'c']) | LSet(['c', 'd']),
                          LSet(['a', 'b', 'c', 'd']))
         # with axis (pure)
-        alpha = Axis('alpha', 'a,b,c,d')
+        alpha = Axis('alpha=a,b,c,d')
         res = alpha['a', 'b'].set() | alpha['c', 'd'].set()
         self.assertIs(res.axis, alpha)
         self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
@@ -700,7 +700,7 @@ def test_or(self):
                          alpha['a', 'b', 'c', 'd'].set())
 
         # with axis (mixed)
-        alpha = Axis('alpha', 'a,b,c,d')
+        alpha = Axis('alpha=a,b,c,d')
         res = alpha['a', 'b'].set() | alpha['c', 'd']
         self.assertIs(res.axis, alpha)
         self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
@@ -708,7 +708,7 @@ def test_or(self):
                          alpha['a', 'b', 'c', 'd'].set())
 
         # with axis & name
-        alpha = Axis('alpha', 'a,b,c,d')
+        alpha = Axis('alpha=a,b,c,d')
         res = alpha['a', 'b'].set().named('ab') | alpha['c', 'd'].set().named('cd')
         self.assertIs(res.axis, alpha)
         self.assertEqual(res.name, 'ab | cd')
@@ -717,7 +717,7 @@ def test_or(self):
                          alpha['a', 'b', 'c', 'd'].set())
 
         # numeric axis
-        num = Axis('num', range(10))
+        num = Axis(range(10), 'num')
         # single int
         self.assertEqual(num[1, 5, 3].set() | 4, num[1, 5, 3, 4].set())
         self.assertEqual(num[1, 5, 3].set() | num[4], num[1, 5, 3, 4].set())
@@ -731,7 +731,7 @@ def test_and(self):
         self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']),
                          LSet(['c']))
         # with axis & name
-        alpha = Axis('alpha', 'a,b,c,d')
+        alpha = Axis('alpha=a,b,c,d')
         res = alpha['a', 'b', 'c'].named('abc').set() & alpha['c', 'd'].named('cd')
         self.assertIs(res.axis, alpha)
         self.assertEqual(res.name, 'abc & cd')
@@ -756,7 +756,7 @@ def _assert_array_equal_is_true_array(self, a, b):
         self.assertTrue(res.all())
 
     def setUp(self):
-        self.code_axis = Axis('code', 'a0..a4')
+        self.code_axis = Axis('code=a0..a4')
 
         self.slice_both_named = self.code_axis.i[1:4] >> 'a123'
         self.slice_both = self.code_axis.i[1:4]
@@ -813,12 +813,12 @@ def test_repr(self):
 
 class TestAxisCollection(TestCase):
     def setUp(self):
-        self.lipro = Axis('lipro', 'P01..P04')
-        self.sex = Axis('sex', 'M,F')
-        self.sex2 = Axis('sex', 'F,M')
-        self.age = Axis('age', '..7')
-        self.geo = Axis('geo', 'A11,A12,A13')
-        self.value = Axis('value', '..10')
+        self.lipro = Axis('lipro=P01..P04')
+        self.sex = Axis('sex=M,F')
+        self.sex2 = Axis('sex=F,M')
+        self.age = Axis('age=0..7')
+        self.geo = Axis('geo=A11,A12,A13')
+        self.value = Axis('value=0..10')
         self.collection = AxisCollection((self.lipro, self.sex, self.age))
 
     def test_init_from_group(self):
@@ -977,7 +977,7 @@ def test_getattr(self):
 
     def test_append(self):
         col = self.collection
-        geo = Axis('geo', 'A11,A12,A13')
+        geo = Axis('geo=A11,A12,A13')
         col.append(geo)
         self.assertEqual(col, [self.lipro, self.sex, self.age, geo])
 
@@ -1006,14 +1006,14 @@ def test_add(self):
 
         # b) with compatible dupe
         # the "new" age axis is ignored (because it is compatible)
-        new = col + [Axis('geo', 'A11,A12,A13'), Axis('age', '..7')]
+        new = col + [Axis('geo=A11,A12,A13'), Axis('age=0..7')]
         self.assertEqual(new, [lipro, sex, age, geo])
 
         # c) with incompatible dupe
         # XXX: the "new" age axis is ignored. We might want to ignore it if it
         #  is the same but raise an exception if it is different
         with self.assertRaises(ValueError):
-            col + [Axis('geo', 'A11,A12,A13'), Axis('age', '..6')]
+            col + [Axis('geo=A11,A12,A13'), Axis('age=0..6')]
 
         # 2) other AxisCollection
         new = col + AxisCollection([geo, value])
@@ -1052,18 +1052,18 @@ def test_str(self):
 
     def test_repr(self):
         self.assertEqual(repr(self.collection), """AxisCollection([
-    Axis('lipro', ['P01', 'P02', 'P03', 'P04']),
-    Axis('sex', ['M', 'F']),
-    Axis('age', [0, 1, 2, 3, 4, 5, 6, 7])
+    Axis(['P01', 'P02', 'P03', 'P04'], 'lipro'),
+    Axis(['M', 'F'], 'sex'),
+    Axis([0, 1, 2, 3, 4, 5, 6, 7], 'age')
 ])""")
 
 
 class TestLArray(TestCase):
     def setUp(self):
         self.title = 'test array'
-        self.lipro = Axis('lipro', ['P%02d' % i for i in range(1, 16)])
-        self.age = Axis('age', range(116))
-        self.sex = Axis('sex', 'M,F')
+        self.lipro = Axis(['P%02d' % i for i in range(1, 16)], 'lipro')
+        self.age = Axis('age=0..115')
+        self.sex = Axis('sex=M,F')
 
         vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
               'A43,A44,A45,A46,A71,A72,A73'
@@ -1081,7 +1081,7 @@ def setUp(self):
         # wal_bru = belgium - vla
         # wal_bru = wal + bru # equivalent
 
-        self.geo = Axis('geo', self.belgium)
+        self.geo = Axis(self.belgium, 'geo')
 
         self.array = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
                                                  .astype(float)
@@ -1209,7 +1209,7 @@ def test_getitem(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
+        self.assertTrue(subset.axes[0].equals(Axis([1, 5, 9], 'age')))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -1218,8 +1218,7 @@ def test_getitem(self):
         # multiple LGroup key (in "incorrect" order)
         res = la[lipro159, age159]
         self.assertEqual(res.axes.names, ['age', 'geo', 'sex', 'lipro'])
-        assert_array_equal(res,
-                           raw[[1, 5, 9]][..., [0, 4, 8]])
+        assert_array_equal(res, raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # LGroup key and scalar
         res = la[lipro159, 5]
@@ -1244,7 +1243,7 @@ def test_getitem(self):
             la[age[1, 2], age[3, 4]]
 
         # key with invalid axis
-        bad = Axis('bad', 3)
+        bad = Axis(3, 'bad')
         with self.assertRaises(KeyError):
             la[bad[1, 2], age[3, 4]]
 
@@ -1258,19 +1257,17 @@ def test_getitem_abstract_axes(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
+        self.assertTrue(subset.axes[0].equals(Axis([1, 5, 9], 'age')))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
         assert_array_equal(la[lipro159], raw[..., [0, 4, 8]])
 
         # multiple LGroup key (in "incorrect" order)
-        assert_array_equal(la[lipro159, age159],
-                           raw[[1, 5, 9]][..., [0, 4, 8]])
+        assert_array_equal(la[lipro159, age159], raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # mixed LGroup/positional key
-        assert_array_equal(la[[1, 5, 9], lipro159],
-                           raw[[1, 5, 9]][..., [0, 4, 8]])
+        assert_array_equal(la[[1, 5, 9], lipro159], raw[[1, 5, 9]][..., [0, 4, 8]])
 
         # single None slice
         assert_array_equal(la[:], raw)
@@ -1306,7 +1303,7 @@ def test_getitem_guess_axis(self):
         assert_array_equal(la[[1, 5, 9]], raw[[1, 5, 9]])
         subset = la[[1, 5, 9]]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
+        self.assertTrue(subset.axes[0].equals(Axis([1, 5, 9], 'age')))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # key at "incorrect" place
@@ -1372,7 +1369,7 @@ def test_getitem_positional_group(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
+        self.assertTrue(subset.axes[0].equals(Axis([1, 5, 9], 'age')))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -1410,7 +1407,7 @@ def test_getitem_abstract_positional(self):
         # LGroup at "correct" place
         subset = la[age159]
         self.assertEqual(subset.axes[1:], (geo, sex, lipro))
-        self.assertTrue(subset.axes[0].equals(Axis('age', [1, 5, 9])))
+        self.assertTrue(subset.axes[0].equals(Axis([1, 5, 9], 'age')))
         assert_array_equal(subset, raw[[1, 5, 9]])
 
         # LGroup at "incorrect" place
@@ -1482,7 +1479,7 @@ def test_getitem_bool_anonymous_axes(self):
         self.assertEqual(res.shape, (2, 12, 5))
 
     def test_getitem_pgroup_on_int_axis(self):
-        a = Axis('a', '1..3')
+        a = Axis('a=1..3')
         arr = ndrange(a)
         self.assertEqual(arr[a.i[1]], 1)
 
@@ -1501,7 +1498,7 @@ def test_getitem_structured_key_with_groups(self):
         expected = arr['a1':]
 
         a, b = arr.axes
-        alt_a = Axis('a', 'a1..a3')
+        alt_a = Axis('a=a1..a3')
 
         # a) slice with lgroup
         # a.1) LGroup.axis from array.axes
@@ -1532,9 +1529,9 @@ def test_getitem_structured_key_with_groups(self):
         assert_array_equal((arr[[alt_a.i[0], alt_a.i[1]]]), expected)
 
     def test_getitem_single_larray_key_guess(self):
-        a = Axis('a', ['a1', 'a2'])
-        b = Axis('b', ['b1', 'b2', 'b3'])
-        c = Axis('c', ['c1', 'c2', 'c3', 'c4'])
+        a = Axis(['a1', 'a2'], 'a')
+        b = Axis(['b1', 'b2', 'b3'], 'b')
+        c = Axis(['c1', 'c2', 'c3', 'c4'], 'c')
 
         # 1) key with extra axis
         arr = ndrange([a, b])
@@ -1550,7 +1547,7 @@ def test_getitem_single_larray_key_guess(self):
 
         # 2bis) key with part of the values axis (the one being replaced)
         arr = ndrange([a, b])
-        b_bis = Axis('b', ['b1', 'b2'])
+        b_bis = Axis(['b1', 'b2'], 'b')
         key = LArray(['b3', 'b2'], [b_bis])
         self.assertEqual(arr[key].axes, [a, b_bis])
 
@@ -1662,31 +1659,31 @@ def test_getitem_ndarray_key_guess(self):
         key = np.array(keys)
         res = la[key]
         self.assertTrue(isinstance(res, LArray))
-        self.assertEqual(res.axes, la.axes.replace(x.lipro, Axis('lipro', keys)))
+        self.assertEqual(res.axes, la.axes.replace(x.lipro, Axis(keys, 'lipro')))
         assert_array_equal(res, raw[:, :, :, [3, 0, 2, 1]])
 
     def test_getitem_int_larray_key_guess(self):
-        a = Axis('a', [0, 1])
-        b = Axis('b', [2, 3])
-        c = Axis('c', [4, 5])
-        d = Axis('d', [6, 7])
-        e = Axis('e', [8, 9, 10, 11])
+        a = Axis([0, 1], 'a')
+        b = Axis([2, 3], 'b')
+        c = Axis([4, 5], 'c')
+        d = Axis([6, 7], 'd')
+        e = Axis([8, 9, 10, 11], 'e')
 
         arr = ndrange([c, d, e])
         key = LArray([[8, 9], [10, 11]], [a, b])
         self.assertEqual(arr[key].axes, [c, d, a, b])
 
     def test_getitem_int_ndarray_key_guess(self):
-        c = Axis('c', [4, 5])
-        d = Axis('d', [6, 7])
-        e = Axis('e', [8, 9, 10, 11])
+        c = Axis([4, 5], 'c')
+        d = Axis([6, 7], 'd')
+        e = Axis([8, 9, 10, 11], 'e')
 
         arr = ndrange([c, d, e])
         # ND keys do not work yet
         # key = np.array([[8, 11], [10, 9]])
         key = np.array([8, 11, 10])
         res = arr[key]
-        self.assertEqual(res.axes, [c, d, Axis('e', [8, 11, 10])])
+        self.assertEqual(res.axes, [c, d, Axis([8, 11, 10], 'e')])
 
     def test_positional_indexer_getitem(self):
         raw = self.array
@@ -1741,7 +1738,7 @@ def test_setitem_larray(self):
         raw = self.array.copy()
 
         raw_value = raw[[1, 5, 9], np.newaxis] + 26.0
-        fake_axis = Axis('fake', ['label'])
+        fake_axis = Axis(['label'], 'fake')
         age_axis = la[ages1_5_9].axes.age
         value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex,
                                         self.lipro))
@@ -1891,7 +1888,7 @@ def test_setitem_bool_array_key(self):
         # d) LArray with extra axes
         la = self.larray.copy()
         raw = self.array.copy()
-        key = (la < 5).expand([Axis('extra', 2)])
+        key = (la < 5).expand([Axis(2, 'extra')])
         self.assertEqual(key.ndim, 5)
         # TODO: make this work
         with self.assertRaises(ValueError):
@@ -1916,7 +1913,7 @@ def test_set(self):
         raw = self.array.copy()
 
         raw_value = raw[[1, 5, 9], np.newaxis] + 26.0
-        fake_axis = Axis('fake', ['label'])
+        fake_axis = Axis(['label'], 'fake')
         age_axis = la[ages1_5_9].axes.age
         value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex,
                                         self.lipro))
@@ -2513,7 +2510,7 @@ def test_group_agg_axis_ref_label_group(self):
         self.assertEqual(reg.shape, (4, 15))
 
     def test_group_agg_one_axis(self):
-        a = Axis('a', range(3))
+        a = Axis(range(3), 'a')
         la = ndrange(a)
         raw = np.asarray(la)
 
@@ -2783,19 +2780,19 @@ def test_sum_with_groups_from_other_axis(self):
         small = self.small
 
         # use a group from another *compatible* axis
-        lipro2 = Axis('lipro', 'P01..P15')
+        lipro2 = Axis('lipro=P01..P15')
         self.assertEqual(small.sum(lipro=lipro2['P01,P03']).shape, (2,))
 
         # use (compatible) group from another *incompatible* axis
         # XXX: I am unsure whether or not this should be allowed. Maybe we
         # should simply check that the group is valid in axis, but that
         # will trigger a pretty meaningful error anyway
-        lipro3 = Axis('lipro', 'P01,P03,P05')
+        lipro3 = Axis('lipro=P01,P03,P05')
         self.assertEqual(small.sum(lipro3['P01,P03']).shape, (2,))
 
         # use a group (from another axis) which is incompatible with the axis of
         # the same name in the array
-        lipro4 = Axis('lipro', 'P01,P03,P16')
+        lipro4 = Axis('lipro=P01,P03,P16')
         with self.assertRaisesRegexp(ValueError,
                                      "lipro\['P01', 'P16'\] is not a valid "
                                      "label for any axis"):
@@ -3156,8 +3153,8 @@ def test_set_labels(self):
         assert_array_equal(la, self.small.set_labels(x.sex, ['Man', 'Woman']))
 
     def test_replace_axes(self):
-        lipro2 = Axis('lipro2', [l.replace('P', 'Q') for l in self.lipro.labels])
-        sex2 = Axis('sex2', ['Man', 'Woman'])
+        lipro2 = Axis([l.replace('P', 'Q') for l in self.lipro.labels], 'lipro2')
+        sex2 = Axis(['Man', 'Woman'], 'sex2')
 
         la = LArray(self.small_data, axes=(self.sex, lipro2),
                     title=self.small_title)
@@ -3218,7 +3215,7 @@ def test_shift_axis(self):
 
         # TODO: check how awful the syntax is with an axis that is not last
         # or first
-        l2 = LArray(la[:, :'P14'], axes=[sex, Axis('lipro', lipro.labels[1:])])
+        l2 = LArray(la[:, :'P14'], axes=[sex, Axis(lipro.labels[1:], 'lipro')])
         l2 = LArray(la[:, :'P14'], axes=[sex, lipro.subaxis(slice(1, None))])
 
         # We can also modify the axis in-place (dangerous!)
@@ -3426,7 +3423,7 @@ def test_to_csv(self):
         with open(abspath('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la = ndrange([Axis('time', range(2015, 2018))])
+        la = ndrange([Axis('time=2015..2017')])
         la.to_csv(abspath('test_out1d.csv'))
         result = ['time,2015,2016,2017\n',
                   ',0,1,2\n']
@@ -3775,7 +3772,7 @@ def test_ufuncs(self):
 
         # with out= and broadcasting
         # we need to put the 'a' axis first because raw numpy only supports that
-        la_out = zeros([Axis('a', [0, 1, 2])] + list(la.axes))
+        la_out = zeros([Axis([0, 1, 2], 'a')] + list(la.axes))
         raw_out = np.zeros((3,) + raw.shape)
 
         la_out2 = exp(la, la_out)
@@ -3869,7 +3866,7 @@ def test_diag(self):
         self.assertEqual(a3.i[2, 2, 2], a.i[2, 2, 2])
 
         # using Axis object
-        sex = Axis('sex', 'M,F')
+        sex = Axis('sex=M,F')
         a = eye(sex)
         d = diag(a)
         self.assertEqual(d.ndim, 1)
@@ -3938,8 +3935,8 @@ def test_matmul(self):
         arr3d = ndtest((2, 2, 2))
         arr4d = ndtest((2, 2, 2, 2))
         a, b, c, d = arr4d.axes
-        e = Axis('e', 'e0,e1')
-        f = Axis('f', 'f0,f1')
+        e = Axis('e=e0,e1')
+        f = Axis('f=f0,f1')
 
         # 4D(a, b, c, d) @ 3D(e, d, f) -> 5D(a, b, e, c, f)
         arr3d = arr3d.set_axes([e, d, f])
@@ -4116,7 +4113,7 @@ def test_split_axis(self):
         assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
 
     def test_stack(self):
-        sex = Axis('sex', 'M, F')
+        sex = Axis('sex=M,F')
         arr1 = ones('nat=BE, FO')
         # not using the same length as nat, otherwise numpy gets confused :(
         arr2 = zeros('type=1..3')
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 3eb5746a1..b9d915101 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -20,13 +20,13 @@ def equal(o1, o2):
 
 class TestSession(TestCase):
     def setUp(self):
-        self.a = Axis('a', [])
-        self.b = Axis('b', [])
+        self.a = Axis([], 'a')
+        self.b = Axis([], 'b')
         self.c = 'c'
         self.d = {}
-        self.e = ndrange([('a0', 2), ('a1', 3)])
-        self.f = ndrange([('a0', 3), ('a1', 2)])
-        self.g = ndrange([('a0', 2), ('a1', 4)])
+        self.e = ndrange([(2, 'a0'), (3, 'a1')])
+        self.f = ndrange([(3, 'a0'), (2, 'a1')])
+        self.g = ndrange([(2, 'a0'), (4, 'a1')])
         self.session = Session([('b', self.b), ('a', self.a),
                                 ('c', self.c), ('d', self.d),
                                 ('e', self.e), ('f', self.f),
@@ -95,7 +95,7 @@ def test_setattr(self):
 
     def test_add(self):
         s = self.session
-        h = Axis('h', [])
+        h = Axis([], 'h')
         s.add(h, i='i')
         self.assertTrue(h.equals(s.h))
         self.assertEqual(s.i, 'i')
diff --git a/larray/viewer.py b/larray/viewer.py
index 2adb27468..a6921a69f 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2337,7 +2337,7 @@ def setup_and_check(self, arrays, names, title=''):
         """
         assert all(isinstance(a, la.LArray) for a in arrays)
         self.arrays = arrays
-        self.array = la.stack(arrays, la.Axis('arrays', names))
+        self.array = la.stack(arrays, la.Axis(names, 'arrays'))
 
         icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
         if icon is not None:
@@ -2505,7 +2505,7 @@ def setup_and_check(self, sessions, names, title=''):
 
     def get_array(self, name):
         arrays = [s.get(name) for s in self.sessions]
-        array = la.stack(arrays, la.Axis('sessions', self.names))
+        array = la.stack(arrays, la.Axis(self.names, 'sessions'))
         diff = array - array[la.x.sessions.i[0]]
         absmax = abs(diff).max()
         # scale diff to 0-1
@@ -2691,9 +2691,9 @@ def restore_display_hook():
 if __name__ == "__main__":
     """Array editor test"""
 
-    lipro = la.Axis('lipro', ['P%02d' % i for i in range(1, 16)])
-    age = la.Axis('age', range(116))
-    sex = la.Axis('sex', 'M,F')
+    lipro = la.Axis(['P%02d' % i for i in range(1, 16)], 'lipro')
+    age = la.Axis('age=0..115')
+    sex = la.Axis('sex=M,F')
 
     vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
           'A43,A44,A45,A46,A71,A72,A73'
@@ -2703,7 +2703,7 @@ def restore_display_hook():
     # list of strings
     belgium = la.union(vla, wal, bru)
 
-    geo = la.Axis('geo', belgium)
+    geo = la.Axis(belgium, 'geo')
 
     # data1 = np.arange(30).reshape(2, 15)
     # arr1 = la.LArray(data1, axes=(sex, lipro))
@@ -2737,8 +2737,8 @@ def restore_display_hook():
 
     # data2 = np.random.normal(0, 10.0, size=(5000, 20))
     # arr2 = la.LArray(data2,
-    #                  axes=(la.Axis('d0', list(range(5000))),
-    #                        la.Axis('d1', list(range(20)))))
+    #                  axes=(la.Axis(list(range(5000)), 'd0'),
+    #                        la.Axis(list(range(20)), 'd1')))
     # edit(arr2)
 
     # view(['a', 'bb', 5599])
@@ -2762,7 +2762,7 @@ def restore_display_hook():
 
     # compare(arr3, arr4, arr5, arr6)
 
-    # view(la.stack((arr3, arr4), la.Axis('arrays', 'arr3,arr4')))
+    # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
     edit()
 
     # s = la.local_arrays()

From 3e83f3d6e9814be97b28dad9acdc95c7ae10e497 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 10 Apr 2017 11:08:05 +0200
Subject: [PATCH 471/899] updated changelog (0.22)

---
 doc/source/changes/version_0_22.rst.inc | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 920550d6f..0721887db 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -135,6 +135,15 @@ Miscellaneous improvements
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
 
+* inverted `name` and `labels` arguments when creating an Axis.
+  Argument `name` is optional (anonymous axis).
+  It is also possible to create an Axis by passing a single string of the kind 'name=labels':
+
+    >>> anonymous = Axis('0..100')
+    >>> age = Axis('age=0..100')
+    >>> gender = Axis('M,F', 'gender')
+
+(closes :issue:`152`)
 
 Fixes
 -----

From 5070dc060ee387bfe84594902dc16114cf960118 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 11 Apr 2017 12:30:49 +0200
Subject: [PATCH 472/899] added warning in Axis constructor (arguments name and
 labels are inverted between version 0.21 and 0.22)

---
 larray/core.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/larray/core.py b/larray/core.py
index eae1eee1a..9d52c5cf6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -912,8 +912,15 @@ class Axis(object):
     def __init__(self, labels, name=None):
         if isinstance(name, Axis):
             name = name.name
-        if isinstance(labels, basestring) and '=' in labels:
+        if isinstance(labels, basestring):
+            if '=' in labels:
                 name, labels = [o.strip() for o in labels.split('=')]
+            elif '..' not in labels and ',' not in labels:
+                warnings.warn("Arguments 'name' and 'labels' of Axis constructor have been inverted in "
+                              "version 0.22 of larray. Please check you are passing labels first and name "
+                              "as second argument.", stacklevel=2)
+                name, labels = labels, name
+
         # make sure we do not have np.str_ as it causes problems down the
         # line with xlwings. Cannot use isinstance to check that though.
         is_python_str = type(name) is unicode or type(name) is bytes

From e795c5568f9aa598ddb61a76ff049cc2312963ad Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 12 Apr 2017 14:57:40 +0200
Subject: [PATCH 473/899] updated changelog (0.22) --> mentioned
 load_example_data() function + updated documentation of plot method.

---
 doc/source/changes/version_0_22.rst.inc | 25 +++++++++++++++++++++++--
 1 file changed, 23 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 0721887db..4020e39c3 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -105,11 +105,30 @@
 
     (closes :issue:`18`).
 
-* added another feature (see the :ref:`miscellaneous section <misc>` for details).
+* added load_example_data function to load datasets used in tutorial and be able to reproduce examples.
+  The name of the dataset must be provided as argument (there is currently only one available dataset).
+  Datasets are returned as Session objects:
+
+    >>> demo = load_example_data('demography')
+    >>> demo.pop.info
+    26 x 3 x 121 x 2 x 2
+     time [26]: 1991 1992 1993 ... 2014 2015 2016
+     geo [3]: 'BruCap' 'Fla' 'Wal'
+     age [121]: 0 1 2 ... 118 119 120
+     sex [2]: 'M' 'F'
+     nat [2]: 'BE' 'FO'
+    >>> demo.qx.info
+    26 x 3 x 121 x 2 x 2
+     time [26]: 1991 1992 1993 ... 2014 2015 2016
+     geo [3]: 'BruCap' 'Fla' 'Wal'
+     age [121]: 0 1 2 ... 118 119 120
+     sex [2]: 'M' 'F'
+     nat [2]: 'BE' 'FO'
+
+  (closes :issue:`170`)
 
 .. _misc:
 
-
 Miscellaneous improvements
 --------------------------
 
@@ -145,6 +164,8 @@ Miscellaneous improvements
 
 (closes :issue:`152`)
 
+* improved documentation of plot method (closes :issue:`169`)
+
 Fixes
 -----
 

From b5b33c1f9309622197496e8b2f9e9b612b99591d Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 18 Apr 2017 13:30:17 +0200
Subject: [PATCH 474/899] fix #116 : (viewer) added possibility to delete an
 array from the list (#218)

(viewer) added possibility to delete an array from the QListWidget by pressing Delete on keyboard (closes #116).
---
 doc/source/changes/version_0_22.rst.inc | 4 ++++
 larray/viewer.py                        | 9 +++++++++
 2 files changed, 13 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 4020e39c3..7e0f4be0b 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -127,8 +127,12 @@
 
   (closes :issue:`170`)
 
+* viewer: added possibility to delete an array by pressing Delete on keyboard.
+  (closes :issue:`116`)
+
 .. _misc:
 
+
 Miscellaneous improvements
 --------------------------
 
diff --git a/larray/viewer.py b/larray/viewer.py
index a6921a69f..1284a9801 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1994,6 +1994,9 @@ def setup_and_check(self, data, title='', readonly=False,
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 
+        del_item_shortcut = QShortcut(QKeySequence(Qt.Key_Delete), self._listwidget)
+        del_item_shortcut.activated.connect(self._delete_current_item)
+
         start_array = la.zeros(1) if arrays else la.zeros(0)
         self.arraywidget = ArrayEditorWidget(self, start_array, readonly)
 
@@ -2149,6 +2152,12 @@ def delete_list_item(self, to_delete):
         deleted_item_idx = self._listwidget.row(deleted_items[0])
         self._listwidget.takeItem(deleted_item_idx)
 
+    @Slot()
+    def _delete_current_item(self):
+        current_item = self._listwidget.currentItem()
+        del self.data[str(current_item.text())]
+        self._listwidget.takeItem(self._listwidget.row(current_item))
+
     def select_list_item(self, to_display):
         changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
         assert len(changed_items) == 1

From 119ef1dbb440f2eb8c884360a1cff1caf3e4b8d4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 13 Apr 2017 11:50:13 +0200
Subject: [PATCH 475/899] fix #203 : creation functions raise an error when
 called as func(axis1, axis2, ...) instead of func([axis1, axis2], ...)

---
 doc/source/changes/version_0_22.rst.inc |  3 +++
 larray/core.py                          | 31 +++++++++++++++++++++----
 2 files changed, 29 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 7e0f4be0b..c410037ec 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -178,3 +178,6 @@ Fixes
 * fixed group sum over boolean arrays (closes :issue:`194`).
 
 * fixed set_labels when inplace=True
+
+* fixed array creation functions not raising an exception when called with wrong syntax func(axis1, axis2, ...)
+  instead of func([axis1, axis2, ...]). (closes :issue:`203`)
diff --git a/larray/core.py b/larray/core.py
index 9d52c5cf6..88408cbc7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -91,6 +91,7 @@
 import re
 import sys
 import warnings
+import functools
 
 try:
     import builtins
@@ -10130,12 +10131,23 @@ def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
 
 
+def _check_axes_argument(func):
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        if len(args) > 1 and isinstance(args[1], (int, Axis)):
+            raise ValueError("If you want to pass several axes or dimension lengths to {}, "
+                             "you must pass them as a list (using []) or tuple (using()).".format(func.__name__))
+        return func(*args, **kwargs)
+    return wrapper
+
+
+@_check_axes_argument
 def zeros(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and filled with zeros.
 
     Parameters
     ----------
-    axes : int, tuple of int or tuple/list/AxisCollection of Axis
+    axes : int, tuple of int, Axis or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
     title : str, optional
         Title.
@@ -10206,12 +10218,13 @@ def zeros_like(array, title='', dtype=None, order='K'):
     return LArray(np.zeros_like(array, dtype, order), array.axes, title)
 
 
+@_check_axes_argument
 def ones(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and filled with ones.
 
     Parameters
     ----------
-    axes : int, tuple of int or tuple/list/AxisCollection of Axis
+    axes : int, tuple of int, Axis or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
     title : str, optional
         Title.
@@ -10274,12 +10287,13 @@ def ones_like(array, title='', dtype=None, order='K'):
     return LArray(np.ones_like(array, dtype, order), axes, title)
 
 
+@_check_axes_argument
 def empty(axes, title='', dtype=float, order='C'):
     """Returns an array with the specified axes and uninitialized (arbitrary) data.
 
     Parameters
     ----------
-    axes : int, tuple of int or tuple/list/AxisCollection of Axis
+    axes : int, tuple of int, Axis or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
     title : str, optional
         Title.
@@ -10343,12 +10357,13 @@ def empty_like(array, title='', dtype=None, order='K'):
     return LArray(np.empty_like(array.data, dtype, order), array.axes, title)
 
 
+# We cannot use @_check_axes_argument here because an integer fill_value would be considered as an error
 def full(axes, fill_value, title='', dtype=None, order='C'):
     """Returns an array with the specified axes and filled with fill_value.
 
     Parameters
     ----------
-    axes : int, tuple of int or tuple/list/AxisCollection of Axis
+    axes : int, tuple of int, Axis or tuple/list/AxisCollection of Axis
         Collection of axes or a shape.
     fill_value : scalar or LArray
         Value to fill the array
@@ -10381,6 +10396,9 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
          BE | 0 | 1
          FO | 0 | 1
     """
+    if isinstance(fill_value, Axis):
+        raise ValueError("If you want to pass several axes or dimension lengths to full, "
+                         "you must pass them as a list (using []) or tuple (using()).")
     if dtype is None:
         dtype = np.asarray(fill_value).dtype
     res = empty(axes, title, dtype, order)
@@ -10638,6 +10656,7 @@ def array_or_full(a, axis, initial):
     return res
 
 
+@_check_axes_argument
 def ndrange(axes, start=0, title='', dtype=int):
     """Returns an array with the specified axes and filled with increasing int.
 
@@ -10710,6 +10729,7 @@ def ndrange(axes, start=0, title='', dtype=int):
     return LArray(data.reshape(axes.shape), axes, title)
 
 
+@_check_axes_argument
 def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     """Returns test array with given shape.
 
@@ -10719,7 +10739,7 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
 
     Parameters
     ----------
-    shape : int, tuple or list
+    shape : int, tuple/list of int
         Shape of the array to create. An int can be used directly for one
         dimensional arrays.
     start : int or float, optional
@@ -10856,6 +10876,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
         return a.points[indexer]
 
 
+@_check_axes_argument
 def labels_array(axes, title=''):
     """Returns an array with specified axes and the combination of
     corresponding labels as values.

From a159de65368d749d68c5b721cb7d881b47ae5070 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 13 Apr 2017 16:40:57 +0200
Subject: [PATCH 476/899] use a decorator instead of a factory to generate the
 aggregation methods

Uses a decorator to generate them.
---
 doc/source/changes/version_0_22.rst.inc |   3 +
 larray/core.py                          | 224 +++++++++++++-----------
 2 files changed, 128 insertions(+), 99 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index c410037ec..1aea333d5 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -168,6 +168,9 @@ Miscellaneous improvements
 
 (closes :issue:`152`)
 
+* replaced *args, **kwargs by explicit arguments in aggregation functions (sum, prod, mean, std, var, ...)
+  (closes :issue:`41`)
+
 * improved documentation of plot method (closes :issue:`169`)
 
 Fixes
diff --git a/larray/core.py b/larray/core.py
index 88408cbc7..f4e0ddef6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4075,7 +4075,7 @@ def _doc_agg_method(desc, by=False, action="perform",
         Parameters
         ----------
         {0}
-        \*args : None or int or str or Axis or Group or any combination of those
+        axes : None or int or str or Axis or Group or any combination of those
 
             {1}
 
@@ -4108,9 +4108,11 @@ def _doc_agg_method(desc, by=False, action="perform",
             * ('a1:a3 >> a123', 'b[b0,b2] >> b12') :
               operator ' >> ' allows to rename groups.
 
-        \**kwargs :
         {4}
 
+        \**kwargs :
+            See `axes`
+
         """.format("".join(_arg_agg[arg] for arg in extra_args),
                    str_doc, action, desc,
                    "".join(_kwarg_agg[kw] for kw in kwargs))
@@ -6070,10 +6072,9 @@ def is_or_contains_group(o):
 
         return list(to_agg) + [o for o in operations if is_or_contains_group(o)]
 
-    def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False,
-                   commutative=False, out=None, extra_kwargs={}):
-        operations = self._prepare_aggregate(op, args, kwargs, commutative,
-                                             stack_depth=3)
+    def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False, commutative=False,
+                   out=None, extra_kwargs={}):
+        operations = self._prepare_aggregate(op, args, kwargs, commutative, stack_depth=3)
         if by_agg and operations != self.axes:
             operations = self._by_args_to_normal_agg_args(operations)
 
@@ -6626,29 +6627,24 @@ def percent(self, *axes):
         # I suspect it loose more precision.
         return self * 100 / self.sum(*axes)
 
-    # aggregate method factory
-    def _agg_method(npfunc, nanfunc=None, name=None, commutative=False, by_agg=False):
-        def method(self, *args, **kwargs):
-            keepaxes = kwargs.pop('keepaxes', False)
-            skipna = kwargs.pop('skipna', None)
-            if skipna is None:
-                skipna = nanfunc is not None
-            if skipna and nanfunc is None:
-                raise ValueError("skipna is not available for %s" % name)
-            # func = npfunc
-            func = nanfunc if skipna else npfunc
-            return self._aggregate(func, args, kwargs, by_agg=by_agg,
-                                   keepaxes=keepaxes,
-                                   commutative=commutative)
-        if name is None:
-            name = npfunc.__name__
-        if by_agg:
-            name += "_by"
-        method.__name__ = name
-        return method
-
-    all = _agg_method(np.all, commutative=True)
-    all.__doc__ = """
+    # aggregate method decorator
+    def _decorate_agg_method(npfunc, nanfunc=None, commutative=False, by_agg=False):
+        def decorated(func):
+            def wrapper(self, *args, **kwargs):
+                keepaxes = kwargs.pop('keepaxes', False)
+                skipna = kwargs.pop('skipna', None)
+                if skipna is None:
+                    skipna = nanfunc is not None
+                if skipna and nanfunc is None:
+                    raise ValueError("skipna is not available for {}".format(func.__name__))
+                _npfunc = nanfunc if skipna else npfunc
+                return self._aggregate(_npfunc, args, kwargs, by_agg=by_agg, keepaxes=keepaxes, commutative=commutative)
+            return wrapper
+        return decorated
+
+    @_decorate_agg_method(np.all, commutative=True)
+    def all(self, *args, **kwargs):
+        """
         Test whether all selected elements evaluate to True.
 
         {}
@@ -6714,9 +6710,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # barr.all('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("AND reduction", kwargs="out,skipna,keepaxes"))
+        pass
 
-    all_by = _agg_method(np.all, commutative=True, by_agg=True)
-    all_by.__doc__ = """
+    @_decorate_agg_method(np.all, commutative=True, by_agg=True)
+    def all_by(self, *args, **kwargs):
+        """
         Test whether all selected elements evaluate to True.
 
         {}
@@ -6779,9 +6777,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # barr.all_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("AND reduction", by=True, kwargs="out,skipna,keepaxes"))
+        pass
 
-    any = _agg_method(np.any, commutative=True)
-    any.__doc__ = """
+    @_decorate_agg_method(np.any, commutative=True)
+    def any(self, *args, **kwargs):
+        """
         Test whether any selected elements evaluate to True.
 
         {}
@@ -6847,9 +6847,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # barr.any('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("OR reduction", kwargs="out,skipna,keepaxes"))
+        pass
 
-    any_by = _agg_method(np.any, commutative=True, by_agg=True)
-    any_by.__doc__ = """
+    @_decorate_agg_method(np.any, commutative=True, by_agg=True)
+    def any_by(self, *args, **kwargs):
+        """
         Test whether any selected elements evaluate to True.
 
         {}
@@ -6912,11 +6914,13 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # barr.any_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("OR reduction", by=True, kwargs="out,skipna,keepaxes"))
+        pass
 
     # commutative modulo float precision errors
 
-    sum = _agg_method(np.sum, np.nansum, commutative=True)
-    sum.__doc__ = """
+    @_decorate_agg_method(np.sum, np.nansum, commutative=True)
+    def sum(self, *args, **kwargs):
+        """
         Computes the sum of array elements along given axes/groups.
 
         {}
@@ -6976,9 +6980,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.sum('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("sum", kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
-    sum_by = _agg_method(np.sum, np.nansum, commutative=True, by_agg=True)
-    sum_by.__doc__ = """
+    @_decorate_agg_method(np.sum, np.nansum, commutative=True, by_agg=True)
+    def sum_by(self, *args, **kwargs):
+        """
         Computes the sum of array elements for the given axes/groups.
 
         {}
@@ -7035,10 +7041,12 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.sum_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("sum", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
     # nanprod needs numpy 1.10
-    prod = _agg_method(np.prod, np_nanprod, commutative=True)
-    prod.__doc__ = """
+    @_decorate_agg_method(np.prod, np_nanprod, commutative=True)
+    def prod(self, *args, **kwargs):
+        """
         Computes the product of array elements along given axes/groups.
 
         {}
@@ -7098,9 +7106,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.prod('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("product", kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
-    prod_by = _agg_method(np.prod, np_nanprod, commutative=True, by_agg=True)
-    prod_by.__doc__ = """
+    @_decorate_agg_method(np.prod, np_nanprod, commutative=True, by_agg=True)
+    def prod_by(self, *args, **kwargs):
+        """
         Computes the product of array elements for the given axes/groups.
 
         {}
@@ -7157,9 +7167,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.prod_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("product", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
-    min = _agg_method(np.min, np.nanmin, commutative=True)
-    min.__doc__ = """
+    @_decorate_agg_method(np.min, np.nanmin, commutative=True)
+    def min(self, *args, **kwargs):
+        """
         Get minimum of array elements along given axes/groups.
 
         {}
@@ -7217,11 +7229,12 @@ def method(self, *args, **kwargs):
         a23 |  8 |  9 | 10 | 11
         >>> # or equivalently
         >>> # arr.min('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("minimum", action="search",
-                                   kwargs="out,skipna,keepaxes"))
+        """.format(_doc_agg_method("minimum", action="search", kwargs="out,skipna,keepaxes"))
+        pass
 
-    min_by = _agg_method(np.min, np.nanmin, commutative=True, by_agg=True)
-    min_by.__doc__ = """
+    @_decorate_agg_method(np.min, np.nanmin, commutative=True, by_agg=True)
+    def min_by(self, *args, **kwargs):
+        """
         Get minimum of array elements for the given axes/groups.
 
         {}
@@ -7276,11 +7289,12 @@ def method(self, *args, **kwargs):
           |   0 |   8
         >>> # or equivalently
         >>> # arr.min_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("minimum", by=True, action="search",
-                                   kwargs="out,skipna,keepaxes"))
+        """.format(_doc_agg_method("minimum", by=True, action="search", kwargs="out,skipna,keepaxes"))
+        pass
 
-    max = _agg_method(np.max, np.nanmax, commutative=True)
-    max.__doc__ = """
+    @_decorate_agg_method(np.max, np.nanmax, commutative=True)
+    def max(self, *args, **kwargs):
+        """
         Get maximum of array elements along given axes/groups.
 
         {}
@@ -7338,11 +7352,12 @@ def method(self, *args, **kwargs):
         a23 | 12 | 13 | 14 | 15
         >>> # or equivalently
         >>> # arr.max('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("maximum", action="search",
-                                   kwargs="out,skipna,keepaxes"))
+        """.format(_doc_agg_method("maximum", action="search", kwargs="out,skipna,keepaxes"))
+        pass
 
-    max_by = _agg_method(np.max, np.nanmax, commutative=True, by_agg=True)
-    max_by.__doc__ = """
+    @_decorate_agg_method(np.max, np.nanmax, commutative=True, by_agg=True)
+    def max_by(self, *args, **kwargs):
+        """
         Get maximum of array elements for the given axes/groups.
 
         {}
@@ -7397,11 +7412,12 @@ def method(self, *args, **kwargs):
           |   7 |  15
         >>> # or equivalently
         >>> # arr.max_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("maximum", by=True, action="search",
-                                   kwargs="out,skipna,keepaxes"))
+        """.format(_doc_agg_method("maximum", by=True, action="search", kwargs="out,skipna,keepaxes"))
+        pass
 
-    mean = _agg_method(np.mean, np.nanmean, commutative=True)
-    mean.__doc__ = """
+    @_decorate_agg_method(np.mean, np.nanmean, commutative=True)
+    def mean(self, *args, **kwargs):
+        """
         Computes the arithmetic mean.
 
         {}
@@ -7462,9 +7478,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.mean('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("mean", kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
-    mean_by = _agg_method(np.mean, np.nanmean, commutative=True, by_agg=True)
-    mean_by.__doc__ = """
+    @_decorate_agg_method(np.mean, np.nanmean, commutative=True, by_agg=True)
+    def mean_by(self, *args, **kwargs):
+        """
         Computes the arithmetic mean.
 
         {}
@@ -7522,9 +7540,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.mean_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("mean", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        pass
 
-    median = _agg_method(np.median, np.nanmedian, commutative=True)
-    median.__doc__ = """
+    @_decorate_agg_method(np.median, np.nanmedian, commutative=True)
+    def median(self, *args, **kwargs):
+        """
         Computes the arithmetic median.
 
         {}
@@ -7589,9 +7609,11 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("median", kwargs="out,skipna,keepaxes"))
+        pass
 
-    median_by = _agg_method(np.median, np.nanmedian, commutative=True, by_agg=True)
-    median_by.__doc__ = """
+    @_decorate_agg_method(np.median, np.nanmedian, commutative=True, by_agg=True)
+    def median_by(self, *args, **kwargs):
+        """
         Computes the arithmetic median.
 
         {}
@@ -7653,20 +7675,12 @@ def method(self, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.median_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("median", by=True, kwargs="out,skipna,keepaxes"))
+        pass
 
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
     def percentile(self, q, *args, **kwargs):
-        keepaxes = kwargs.pop('keepaxes', False)
-        skipna = kwargs.pop('skipna', None)
-        if skipna is None:
-            skipna = True
-        func = np.nanpercentile if skipna else np.percentile
-        return self._aggregate(func, args, kwargs, keepaxes=keepaxes,
-                               commutative=True, extra_kwargs={'q': q})
-
-    percentile.__doc__ = """
-        Computes the qth percentile of the data along the specified axis.
+        """Computes the qth percentile of the data along the specified axis.
 
         {}
 
@@ -7725,19 +7739,17 @@ def percentile(self, q, *args, **kwargs):
         a23 | 9.0 | 10.0 | 11.0 | 12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("qth percentile", extra_args="q",
-                                   kwargs="out,interpolation,skipna,keepaxes"))
-
-    def percentile_by(self, q, *args, **kwargs):
+        """.format(_doc_agg_method("qth percentile", extra_args="q", kwargs="out,interpolation,skipna,keepaxes"))
         keepaxes = kwargs.pop('keepaxes', False)
         skipna = kwargs.pop('skipna', None)
         if skipna is None:
             skipna = True
         func = np.nanpercentile if skipna else np.percentile
-        return self._aggregate(func, args, kwargs, keepaxes=keepaxes, by_agg=True,
+        return self._aggregate(func, args, kwargs, keepaxes=keepaxes,
                                commutative=True, extra_kwargs={'q': q})
 
-    percentile_by.__doc__ = """
+    def percentile_by(self, q, *args, **kwargs):
+        """
         Computes the qth percentile of the data for the specified axis.
 
         {}
@@ -7796,10 +7808,18 @@ def percentile_by(self, q, *args, **kwargs):
         >>> # arr.percentile_by('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("qth percentile", by=True, extra_args="q",
                                    kwargs="out,interpolation,skipna,keepaxes"))
+        keepaxes = kwargs.pop('keepaxes', False)
+        skipna = kwargs.pop('skipna', None)
+        if skipna is None:
+            skipna = True
+        func = np.nanpercentile if skipna else np.percentile
+        return self._aggregate(func, args, kwargs, keepaxes=keepaxes, by_agg=True, commutative=True,
+                               extra_kwargs={'q': q})
 
     # not commutative
-    ptp = _agg_method(np.ptp)
-    ptp.__doc__ = """
+    @_decorate_agg_method(np.ptp)
+    def ptp(self, *args, **kwargs):
+        """
         Returns the range of values (maximum - minimum).
 
         The name of the function comes from the acronym for ‘peak to peak’.
@@ -7856,9 +7876,11 @@ def percentile_by(self, q, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.ptp('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("ptp", kwargs="out"))
+        pass
 
-    var = _agg_method(np.var, np.nanvar)
-    var.__doc__ = """
+    @_decorate_agg_method(np.var, np.nanvar)
+    def var(self, *args, **kwargs):
+        """
         Computes the variance.
 
         {}
@@ -7923,9 +7945,11 @@ def percentile_by(self, q, *args, **kwargs):
         >>> # or equivalently
         >>> # arr.var('a0,a1>>a01;a2,a3>>a23')
         """.format(_doc_agg_method("variance", kwargs="dtype,out,ddof,skipna,keepaxes"))
+        pass
 
-    var_by = _agg_method(np.var, np.nanvar, by_agg=True)
-    var_by.__doc__ = """
+    @_decorate_agg_method(np.var, np.nanvar, by_agg=True)
+    def var_by(self, *args, **kwargs):
+        """
         Computes the variance.
 
         {}
@@ -7986,11 +8010,12 @@ def percentile_by(self, q, *args, **kwargs):
           | 0.0 | 15.7509765625
         >>> # or equivalently
         >>> # arr.var_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("variance", by=True,
-                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
+        """.format(_doc_agg_method("variance", by=True, kwargs="dtype,out,ddof,skipna,keepaxes"))
+        pass
 
-    std = _agg_method(np.std, np.nanstd)
-    std.__doc__ = """
+    @_decorate_agg_method(np.std, np.nanstd)
+    def std(self, *args, **kwargs):
+        """
         Computes the standard deviation.
 
         {}
@@ -8050,11 +8075,12 @@ def percentile_by(self, q, *args, **kwargs):
         a23 | 2.5 | 1.5 | 0.0 | 1.5
         >>> # or equivalently
         >>> # arr.std('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("standard deviation",
-                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
+        """.format(_doc_agg_method("standard deviation", kwargs="dtype,out,ddof,skipna,keepaxes"))
+        pass
 
-    std_by = _agg_method(np.std, np.nanstd, by_agg=True)
-    std_by.__doc__ = """
+    @_decorate_agg_method(np.std, np.nanstd, by_agg=True)
+    def std_by(self, *args, **kwargs):
+        """
         Computes the standard deviation.
 
         {}
@@ -8111,8 +8137,8 @@ def percentile_by(self, q, *args, **kwargs):
           | 0.5 | 0.25
         >>> # or equivalently
         >>> # arr.std_by('b0,b1>>b01;b2,b3>>b23')
-        """.format(_doc_agg_method("standard deviation", by=True,
-                                   kwargs="dtype,out,ddof,skipna,keepaxes"))
+        """.format(_doc_agg_method("standard deviation", by=True, kwargs="dtype,out,ddof,skipna,keepaxes"))
+        pass
 
     # cumulative aggregates
     def cumsum(self, axis=-1):

From 1c590daf64df134e88c045fe97b8fe29e80fba16 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 20 Apr 2017 11:24:29 +0200
Subject: [PATCH 477/899] fix #41 : overrided signature of aggregation methods
 in docstrings.

fix #189 : keyword arguments of aggregation methods are now correctly taken into account.

fix #190 : ddof=1 by default in var() and std() methods.
---
 doc/source/changes/version_0_22.rst.inc |  10 +-
 larray/core.py                          | 673 ++++++++++++------------
 larray/tests/test_la.py                 |  14 +-
 3 files changed, 363 insertions(+), 334 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 1aea333d5..04ebdf635 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -168,14 +168,20 @@ Miscellaneous improvements
 
 (closes :issue:`152`)
 
-* replaced *args, **kwargs by explicit arguments in aggregation functions (sum, prod, mean, std, var, ...)
-  (closes :issue:`41`)
+* replaced *args, **kwargs by explicit arguments in documentation of aggregation functions
+  (sum, prod, mean, std, var, ...). (closes :issue:`41`)
 
 * improved documentation of plot method (closes :issue:`169`)
 
+* Default value of argument `ddof` for var and std functions set to 1 instead of 0.
+  (closes :issue:`190`)
+
 Fixes
 -----
 
+* fixed keyword arguments as `out`, `ddof`, ... for aggregation functions
+  (closes : issue:`189`)
+
 * fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
 
 * fixed group sum over boolean arrays (closes :issue:`194`).
diff --git a/larray/core.py b/larray/core.py
index f4e0ddef6..eb660ac8a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -3998,86 +3998,96 @@ def aslarray(a):
 }
 
 _kwarg_agg = {
-    'dtype':
-        """
-            * dtype : dtype, optional
-
-              The type of the returned array.
-              The dtype of the array is used by default.
-        """,
-    'out':
-        """
-            * out : LArray, optional
-
-              Alternate output array in which to place the result.
-              It must have the same shape as the expected output and
-              its type is preserved (e.g., if dtype(out) is float, the
-              result will consist of 0.0’s and 1.0’s).
-              Axes and labels can be different, only the shape matters.
-        """,
-    'ddof':
-        """
-            * ddof : int, optional
-
-              "Delta Degrees of Freedom": the divisor used in the
-              calculation is ``N - ddof``, where ``N`` represents
-              the number of elements. By default `ddof` is zero.
-        """,
-    'skipna':
-        """
-            * skipna : bool, optional
+    'dtype': {'value': None, 'doc':
+        """
+        * dtype : dtype, optional
+
+          The type of the returned array.
+          The dtype of the array is used by default.
+        """},
+    'out': {'value': None, 'doc':
+        """
+        * out : LArray, optional
+
+          Alternate output array in which to place the result.
+          It must have the same shape as the expected output and
+          its type is preserved (e.g., if dtype(out) is float, the
+          result will consist of 0.0’s and 1.0’s).
+          Axes and labels can be different, only the shape matters.
+        """},
+    'ddof': {'value': 1, 'doc':
+        """
+        * ddof : int, optional
+
+          "Delta Degrees of Freedom": the divisor used in the
+          calculation is ``N - ddof``, where ``N`` represents
+          the number of elements. By default `ddof` is 1.
+        """},
+    'skipna': {'value': None, 'doc':
+        """
+        * skipna : bool, optional
+
+          'skip NaN': Ignore NaN/null values.
+          If an entire row/column is NaN, the result will be NaN.
+        """},
+    'keepaxes': {'value': False, 'doc':
+        """
+        * keepaxes : bool, optional
+
+          If this is set to True, the axes which are reduced are
+          left in the result as dimensions with size one.
+          With this option, the result will broadcast correctly
+          against the input array.
+        """},
+    'interpolation': {'value': 'linear', 'doc':
+        """
+        * interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
+
+          This optional parameter specifies the interpolation method to
+          use when the desired quantile lies between two data points ``i < j``:
+            * linear: ``i + (j - i) * fraction``, where ``fraction`` is the
+              fractional part of the index surrounded by ``i`` and ``j``.
+            * lower: ``i``.
+            * higher: ``j``.
+            * nearest: ``i`` or ``j``, whichever is nearest.
+            * midpoint: ``(i + j) / 2``.
+        """}
+}
 
-              'skip NaN': Ignore NaN/null values.
-              If an entire row/column is NaN, the result will be NaN.
-        """,
-    'keepaxes':
-        """
-            * keepaxes : bool, optional
 
-              If this is set to True, the axes which are reduced are
-              left in the result as dimensions with size one.
-              With this option, the result will broadcast correctly
-              against the input array.
-        """,
-    'interpolation':
-        """
-            * interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
-
-              This optional parameter specifies the interpolation method to
-              use when the desired quantile lies between two data points ``i < j``:
-                * linear: ``i + (j - i) * fraction``, where ``fraction`` is the
-                  fractional part of the index surrounded by ``i`` and ``j``.
-                * lower: ``i``.
-                * higher: ``j``.
-                * nearest: ``i`` or ``j``, whichever is nearest.
-                * midpoint: ``(i + j) / 2``.
-        """
-}
+def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[], kwargs=[]):
 
+    if not long_name:
+        long_name = func.__name__
+    if not action_verb:
+        action_verb = 'perform'
 
-def _doc_agg_method(desc, by=False, action="perform",
-                    extra_args='', kwargs=''):
-    extra_args = extra_args.split(',') if extra_args else []
-    kwargs = kwargs.split(',') if kwargs else []
+    _args = ','.join(extra_args) + ', ' if len(extra_args) > 0 else ''
+    _kwargs = ', '.join(["{}={}".format(k, _kwarg_agg[k]['value']) for k in kwargs]) + ', ' if len(kwargs) > 0 else ''
+    signature = '{name}({args}*axes_and_groups, {kwargs}**explicit_axes)'.format(name=func.__name__,
+                                                                                args=_args, kwargs=_kwargs)
 
     if by:
-        str_doc = "The {0} is {1}ed along all axes except the given one(s). " \
-                  "For groups, {0} is {1}ed along groups and non associated axes. " \
-                  "The default (no axis or group) is to {1} the {0} " \
-                  "over all the dimensions of the input array.".format(desc, action)
+        doc_specific = "The {long_name} is {action_verb}ed along all axes except the given one(s). " \
+                  "For groups, {long_name} is {action_verb}ed along groups and non associated axes. " \
+                  "The default (no axis or group) is to {action_verb} the {long_name} " \
+                  "over all the dimensions of the input array.".format(long_name=long_name, action_verb=action_verb)
     else:
-        str_doc = "Axis(es) or group(s) along the {0} is {1}ed. " \
-                  "The default (no axis or group) is to {1} the {0} " \
-                  "over all the dimensions of the input array.".format(desc, action)
+        doc_specific = "Axis(es) or group(s) along the {long_name} is {action_verb}ed. " \
+                  "The default (no axis or group) is to {action_verb} the {long_name} " \
+                  "over all the dimensions of the input array.".format(long_name=long_name, action_verb=action_verb)
+
+    doc_args = "".join(_arg_agg[arg] for arg in extra_args)
+    doc_kwargs = "".join(_kwarg_agg[kw]['doc'] for kw in kwargs)
 
-    args_doc = \
+    parameters = \
         """
         Parameters
         ----------
-        {0}
-        axes : None or int or str or Axis or Group or any combination of those
+        {args}
+        \*axes_and_groups : None or int or str or Axis or Group or any combination of those
 
-            {1}
+            {specific}
 
             An axis can be referred by:
 
@@ -4089,7 +4099,7 @@ def _doc_agg_method(desc, by=False, action="perform",
               and assigned to a variable, you can pass it as argument.
 
 
-            You may not want to {2} the {3} over a whole axis but
+            You may not want to {action_verb} the {long_name} over a whole axis but
             over a selection of specific labels. To do so, you have several
             possibilities:
 
@@ -4108,16 +4118,13 @@ def _doc_agg_method(desc, by=False, action="perform",
             * ('a1:a3 >> a123', 'b[b0,b2] >> b12') :
               operator ' >> ' allows to rename groups.
 
-        {4}
-
         \**kwargs :
-            See `axes`
+        {kwargs}
 
-        """.format("".join(_arg_agg[arg] for arg in extra_args),
-                   str_doc, action, desc,
-                   "".join(_kwarg_agg[kw] for kw in kwargs))
+        """.format(args=doc_args, specific=doc_specific, action_verb=action_verb, long_name=long_name,
+                   kwargs=doc_kwargs)
 
-    return args_doc
+    func.__doc__ = func.__doc__.format(signature=signature, parameters=parameters)
 
 
 _always_return_float = {np.mean, np.nanmean, np.median, np.nanmedian, np.percentile, np.nanpercentile,
@@ -4581,16 +4588,16 @@ def describe(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndrange('year=2014..2020')
+        >>> arr = LArray([0, 6, 2, 5, 4, 3, 1, 3], 'year=2013..2020')
         >>> arr
-        year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
-             |    0 |    1 |    2 |    3 |    4 |    5 |    6
+        year | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
+             |    0 |    6 |    2 |    5 |    4 |    3 |    1 |    3
         >>> arr.describe()
-        statistic | count | mean | std | min | 25% | 50% | 75% | max
-                  |   7.0 |  3.0 | 2.0 | 0.0 | 1.5 | 3.0 | 4.5 | 6.0
+        statistic | count | mean | std | min |  25% | 50% |  75% | max
+                  |   8.0 |  3.0 | 2.0 | 0.0 | 1.75 | 3.0 | 4.25 | 6.0
         >>> arr.describe(percentiles=[50, 90])
         statistic | count | mean | std | min | 50% | 90% | max
-                  |   7.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.4 | 6.0
+                  |   8.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.3 | 6.0
         """
         # retrieve kw-only arguments
         percentiles = kwargs.pop('percentiles', None)
@@ -4632,25 +4639,26 @@ def describe_by(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndrange('gender=Male,Female;year=2014..2020').astype(float)
+        >>> data = [[0, 6, 3, 5, 4, 2, 1, 3], [7, 5, 3, 2, 8, 5, 6, 4]]
+        >>> arr = LArray(data, 'gender=Male,Female;year=2013..2020').astype(float)
         >>> arr
-        gender\year | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
-               Male |  0.0 |  1.0 |  2.0 |  3.0 |  4.0 |  5.0 |  6.0
-             Female |  7.0 |  8.0 |  9.0 | 10.0 | 11.0 | 12.0 | 13.0
+        gender\year | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
+               Male |  0.0 |  6.0 |  3.0 |  5.0 |  4.0 |  2.0 |  1.0 |  3.0
+             Female |  7.0 |  5.0 |  3.0 |  2.0 |  8.0 |  5.0 |  6.0 |  4.0
         >>> arr.describe_by('gender')
-        gender\statistic | count | mean | std | min | 25% |  50% |  75% |  max
-                    Male |   7.0 |  3.0 | 2.0 | 0.0 | 1.5 |  3.0 |  4.5 |  6.0
-                  Female |   7.0 | 10.0 | 2.0 | 7.0 | 8.5 | 10.0 | 11.5 | 13.0
-        >>> arr.describe_by('gender', (x.year[:2015], x.year[2019:]))
-        gender | year\statistic | count | mean | std |  min |   25% |  50% |   75% |  max
-          Male |          :2015 |   2.0 |  0.5 | 0.5 |  0.0 |  0.25 |  0.5 |  0.75 |  1.0
-          Male |          2019: |   2.0 |  5.5 | 0.5 |  5.0 |  5.25 |  5.5 |  5.75 |  6.0
-        Female |          :2015 |   2.0 |  7.5 | 0.5 |  7.0 |  7.25 |  7.5 |  7.75 |  8.0
-        Female |          2019: |   2.0 | 12.5 | 0.5 | 12.0 | 12.25 | 12.5 | 12.75 | 13.0
+        gender\statistic | count | mean | std | min |  25% | 50% |  75% | max
+                    Male |   8.0 |  3.0 | 2.0 | 0.0 | 1.75 | 3.0 | 4.25 | 6.0
+                  Female |   8.0 |  5.0 | 2.0 | 2.0 | 3.75 | 5.0 | 6.25 | 8.0
+        >>> arr.describe_by('gender', (x.year[:2015], x.year[2018:]))
+        gender | year\statistic | count | mean | std | min | 25% | 50% | 75% | max
+          Male |          :2015 |   3.0 |  3.0 | 3.0 | 0.0 | 1.5 | 3.0 | 4.5 | 6.0
+          Male |          2018: |   3.0 |  2.0 | 1.0 | 1.0 | 1.5 | 2.0 | 2.5 | 3.0
+        Female |          :2015 |   3.0 |  5.0 | 2.0 | 3.0 | 4.0 | 5.0 | 6.0 | 7.0
+        Female |          2018: |   3.0 |  5.0 | 1.0 | 4.0 | 4.5 | 5.0 | 5.5 | 6.0
         >>> arr.describe_by('gender', percentiles=[50, 90])
-        gender\statistic | count | mean | std | min |  50% |  90% |  max
-                    Male |   7.0 |  3.0 | 2.0 | 0.0 |  3.0 |  5.4 |  6.0
-                  Female |   7.0 | 10.0 | 2.0 | 7.0 | 10.0 | 12.4 | 13.0
+        gender\statistic | count | mean | std | min | 50% | 90% | max
+                    Male |   8.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.3 | 6.0
+                  Female |   8.0 |  5.0 | 2.0 | 2.0 | 5.0 | 7.3 | 8.0
         """
         # retrieve kw-only arguments
         percentiles = kwargs.pop('percentiles', None)
@@ -6628,26 +6636,34 @@ def percent(self, *axes):
         return self * 100 / self.sum(*axes)
 
     # aggregate method decorator
-    def _decorate_agg_method(npfunc, nanfunc=None, commutative=False, by_agg=False):
+    def _decorate_agg_method(npfunc, nanfunc=None, commutative=False, by_agg=False, extra_kwargs=[],
+                             long_name='', action_verb=''):
         def decorated(func):
+            _doc_agg_method(func, by_agg, long_name, action_verb, kwargs=extra_kwargs + ['out', 'skipna', 'keepaxes'])
+            @functools.wraps(func)
             def wrapper(self, *args, **kwargs):
-                keepaxes = kwargs.pop('keepaxes', False)
-                skipna = kwargs.pop('skipna', None)
+                keepaxes = kwargs.pop('keepaxes', _kwarg_agg['keepaxes']['value'])
+                skipna = kwargs.pop('skipna', _kwarg_agg['skipna']['value'])
+                out = kwargs.pop('out', _kwarg_agg['out']['value'])
                 if skipna is None:
                     skipna = nanfunc is not None
                 if skipna and nanfunc is None:
                     raise ValueError("skipna is not available for {}".format(func.__name__))
                 _npfunc = nanfunc if skipna else npfunc
-                return self._aggregate(_npfunc, args, kwargs, by_agg=by_agg, keepaxes=keepaxes, commutative=commutative)
+                _extra_kwargs = {}
+                for k in extra_kwargs:
+                    _extra_kwargs[k] = kwargs.pop(k, _kwarg_agg[k]['value'])
+                return self._aggregate(_npfunc, args, kwargs, by_agg=by_agg, keepaxes=keepaxes,
+                                       commutative=commutative, out=out, extra_kwargs=_extra_kwargs)
             return wrapper
         return decorated
 
-    @_decorate_agg_method(np.all, commutative=True)
+    @_decorate_agg_method(np.all, commutative=True, long_name="AND reduction")
     def all(self, *args, **kwargs):
-        """
+        """{signature}
         Test whether all selected elements evaluate to True.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -6709,15 +6725,15 @@ def all(self, *args, **kwargs):
         a23 | False | False | False | False
         >>> # or equivalently
         >>> # barr.all('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("AND reduction", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.all, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.all, commutative=True, by_agg=True, long_name="AND reduction")
     def all_by(self, *args, **kwargs):
-        """
+        """{signature}
         Test whether all selected elements evaluate to True.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -6776,15 +6792,15 @@ def all_by(self, *args, **kwargs):
           | False | False
         >>> # or equivalently
         >>> # barr.all_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("AND reduction", by=True, kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.any, commutative=True)
+    @_decorate_agg_method(np.any, commutative=True, long_name="OR reduction")
     def any(self, *args, **kwargs):
-        """
+        """{signature}
         Test whether any selected elements evaluate to True.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -6846,15 +6862,15 @@ def any(self, *args, **kwargs):
         a23 | False | False | False | False
         >>> # or equivalently
         >>> # barr.any('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("OR reduction", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.any, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.any, commutative=True, by_agg=True, long_name="OR reduction")
     def any_by(self, *args, **kwargs):
-        """
+        """{signature}
         Test whether any selected elements evaluate to True.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -6913,17 +6929,17 @@ def any_by(self, *args, **kwargs):
           | True | False
         >>> # or equivalently
         >>> # barr.any_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("OR reduction", by=True, kwargs="out,skipna,keepaxes"))
+        """
         pass
 
     # commutative modulo float precision errors
 
-    @_decorate_agg_method(np.sum, np.nansum, commutative=True)
+    @_decorate_agg_method(np.sum, np.nansum, commutative=True, extra_kwargs=['dtype'])
     def sum(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the sum of array elements along given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -6979,15 +6995,15 @@ def sum(self, *args, **kwargs):
         a23 | 20 | 22 | 24 | 26
         >>> # or equivalently
         >>> # arr.sum('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("sum", kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.sum, np.nansum, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.sum, np.nansum, commutative=True, by_agg=True, extra_kwargs=['dtype'], long_name="sum")
     def sum_by(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the sum of array elements for the given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7040,16 +7056,16 @@ def sum_by(self, *args, **kwargs):
           |  28 |  92
         >>> # or equivalently
         >>> # arr.sum_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("sum", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
     # nanprod needs numpy 1.10
-    @_decorate_agg_method(np.prod, np_nanprod, commutative=True)
+    @_decorate_agg_method(np.prod, np_nanprod, commutative=True, extra_kwargs=['dtype'], long_name="product")
     def prod(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the product of array elements along given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7105,15 +7121,16 @@ def prod(self, *args, **kwargs):
         a23 | 96 | 117 | 140 | 165
         >>> # or equivalently
         >>> # arr.prod('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("product", kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.prod, np_nanprod, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.prod, np_nanprod, commutative=True, by_agg=True, extra_kwargs=['dtype'],
+                          long_name="product")
     def prod_by(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the product of array elements for the given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7166,15 +7183,15 @@ def prod_by(self, *args, **kwargs):
           |   0 | 259459200
         >>> # or equivalently
         >>> # arr.prod_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("product", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.min, np.nanmin, commutative=True)
+    @_decorate_agg_method(np.min, np.nanmin, commutative=True, long_name="minimum", action_verb="search")
     def min(self, *args, **kwargs):
-        """
+        """{signature}
         Get minimum of array elements along given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7229,15 +7246,15 @@ def min(self, *args, **kwargs):
         a23 |  8 |  9 | 10 | 11
         >>> # or equivalently
         >>> # arr.min('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("minimum", action="search", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.min, np.nanmin, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.min, np.nanmin, commutative=True, by_agg=True, long_name="minimum", action_verb="search")
     def min_by(self, *args, **kwargs):
-        """
+        """{signature}
         Get minimum of array elements for the given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7289,15 +7306,15 @@ def min_by(self, *args, **kwargs):
           |   0 |   8
         >>> # or equivalently
         >>> # arr.min_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("minimum", by=True, action="search", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.max, np.nanmax, commutative=True)
+    @_decorate_agg_method(np.max, np.nanmax, commutative=True, long_name="maximum", action_verb="search")
     def max(self, *args, **kwargs):
-        """
+        """{signature}
         Get maximum of array elements along given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7352,15 +7369,15 @@ def max(self, *args, **kwargs):
         a23 | 12 | 13 | 14 | 15
         >>> # or equivalently
         >>> # arr.max('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("maximum", action="search", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.max, np.nanmax, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.max, np.nanmax, commutative=True, by_agg=True, long_name="maximum", action_verb="search")
     def max_by(self, *args, **kwargs):
-        """
+        """{signature}
         Get maximum of array elements for the given axes/groups.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7412,15 +7429,15 @@ def max_by(self, *args, **kwargs):
           |   7 |  15
         >>> # or equivalently
         >>> # arr.max_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("maximum", by=True, action="search", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.mean, np.nanmean, commutative=True)
+    @_decorate_agg_method(np.mean, np.nanmean, commutative=True, extra_kwargs=['dtype'])
     def mean(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the arithmetic mean.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7477,15 +7494,15 @@ def mean(self, *args, **kwargs):
         a23 | 10.0 | 11.0 | 12.0 | 13.0
         >>> # or equivalently
         >>> # arr.mean('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("mean", kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.mean, np.nanmean, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.mean, np.nanmean, commutative=True, by_agg=True, extra_kwargs=['dtype'], long_name="mean")
     def mean_by(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the arithmetic mean.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7539,15 +7556,15 @@ def mean_by(self, *args, **kwargs):
           | 3.5 | 11.5
         >>> # or equivalently
         >>> # arr.mean_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("mean", by=True, kwargs="dtype,out,skipna,keepaxes"))
+        """
         pass
 
     @_decorate_agg_method(np.median, np.nanmedian, commutative=True)
     def median(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the arithmetic median.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7608,15 +7625,15 @@ def median(self, *args, **kwargs):
         a23 | 7.5 | 6.0 | 2.5 | 7.5
         >>> # or equivalently
         >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("median", kwargs="out,skipna,keepaxes"))
+        """
         pass
 
-    @_decorate_agg_method(np.median, np.nanmedian, commutative=True, by_agg=True)
+    @_decorate_agg_method(np.median, np.nanmedian, commutative=True, by_agg=True, long_name="mediane")
     def median_by(self, *args, **kwargs):
-        """
+        """{signature}
         Computes the arithmetic median.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7674,15 +7691,16 @@ def median_by(self, *args, **kwargs):
           | 7.0 | 5.75
         >>> # or equivalently
         >>> # arr.median_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("median", by=True, kwargs="out,skipna,keepaxes"))
+        """
         pass
 
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
     def percentile(self, q, *args, **kwargs):
-        """Computes the qth percentile of the data along the specified axis.
+        """{signature}
+        Computes the qth percentile of the data along the specified axis.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7739,20 +7757,26 @@ def percentile(self, q, *args, **kwargs):
         a23 | 9.0 | 10.0 | 11.0 | 12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("qth percentile", extra_args="q", kwargs="out,interpolation,skipna,keepaxes"))
-        keepaxes = kwargs.pop('keepaxes', False)
-        skipna = kwargs.pop('skipna', None)
+        """
+        keepaxes = kwargs.pop('keepaxes', _kwarg_agg['keepaxes']['value'])
+        skipna = kwargs.pop('skipna', _kwarg_agg['skipna']['value'])
+        out = kwargs.pop('out', _kwarg_agg['out']['value'])
         if skipna is None:
             skipna = True
-        func = np.nanpercentile if skipna else np.percentile
-        return self._aggregate(func, args, kwargs, keepaxes=keepaxes,
-                               commutative=True, extra_kwargs={'q': q})
+        _npfunc = np.nanpercentile if skipna else np.percentile
+        interpolation = kwargs.pop('interpolation', _kwarg_agg['interpolation']['value'])
+        _extra_kwargs = {'q': q, 'interpolation': interpolation}
+        return self._aggregate(_npfunc, args, kwargs, by_agg=False, keepaxes=keepaxes,
+                               commutative=True, out=out, extra_kwargs=_extra_kwargs)
+
+    _doc_agg_method(percentile, False, "qth percentile", extra_args=['q'],
+                    kwargs=['out', 'interpolation', 'skipna', 'keepaxes'])
 
     def percentile_by(self, q, *args, **kwargs):
-        """
+        """{signature}
         Computes the qth percentile of the data for the specified axis.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7806,25 +7830,30 @@ def percentile_by(self, q, *args, **kwargs):
           | 1.75 | 9.75
         >>> # or equivalently
         >>> # arr.percentile_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("qth percentile", by=True, extra_args="q",
-                                   kwargs="out,interpolation,skipna,keepaxes"))
-        keepaxes = kwargs.pop('keepaxes', False)
-        skipna = kwargs.pop('skipna', None)
+        """
+        keepaxes = kwargs.pop('keepaxes', _kwarg_agg['keepaxes']['value'])
+        skipna = kwargs.pop('skipna', _kwarg_agg['skipna']['value'])
+        out = kwargs.pop('out', _kwarg_agg['out']['value'])
         if skipna is None:
             skipna = True
-        func = np.nanpercentile if skipna else np.percentile
-        return self._aggregate(func, args, kwargs, keepaxes=keepaxes, by_agg=True, commutative=True,
-                               extra_kwargs={'q': q})
+        _npfunc = np.nanpercentile if skipna else np.percentile
+        interpolation = kwargs.pop('interpolation', _kwarg_agg['interpolation']['value'])
+        _extra_kwargs = {'q': q, 'interpolation': interpolation}
+        return self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes,
+                               commutative=True, out=out, extra_kwargs=_extra_kwargs)
+
+    _doc_agg_method(percentile_by, True, "qth percentile", extra_args=['q'],
+                    kwargs=['out', 'interpolation', 'skipna', 'keepaxes'])
 
     # not commutative
-    @_decorate_agg_method(np.ptp)
+
     def ptp(self, *args, **kwargs):
-        """
+        """{signature}
         Returns the range of values (maximum - minimum).
 
         The name of the function comes from the acronym for ‘peak to peak’.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7875,15 +7904,20 @@ def ptp(self, *args, **kwargs):
         a23 |  4 |  4 |  4 |  4
         >>> # or equivalently
         >>> # arr.ptp('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("ptp", kwargs="out"))
-        pass
+        """
+        out = kwargs.pop('out', _kwarg_agg['out']['value'])
+        return self._aggregate(np.ptp, args, kwargs, out=out)
+
+    _doc_agg_method(ptp, False, kwargs=['out'])
 
-    @_decorate_agg_method(np.var, np.nanvar)
+    @_decorate_agg_method(np.var, np.nanvar, extra_kwargs=['dtype', 'ddof'], long_name="variance")
     def var(self, *args, **kwargs):
-        """
-        Computes the variance.
+        """{signature}
+        Computes the unbiased variance.
+
+        Normalized by N-1 by default. This can be changed using the ddof argument.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7897,62 +7931,56 @@ def var(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndtest((4, 4))
-        >>> arr[:,:] = [[10, 7, 5, 9], \
-                        [5, 8, 3, 7], \
-                        [6, 2, 0, 9], \
-                        [9, 10, 5, 6]]
+        >>> arr = ndtest((2, 8), dtype=float)
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
+                        [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 | 10 |  7 |  5 |  9
-         a1 |  5 |  8 |  3 |  7
-         a2 |  6 |  2 |  0 |  9
-         a3 |  9 | 10 |  5 |  6
+        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
+         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
+         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
         >>> arr.var()
-        7.96484375
-        >>> # along axis 'a'
-        >>> arr.var(x.a)
-        b |   b0 |     b1 |     b2 |     b3
-          | 4.25 | 8.6875 | 4.1875 | 1.6875
+        4.7999999999999998
         >>> # along axis 'b'
         >>> arr.var(x.b)
-        a |     a0 |     a1 |      a2 |   a3
-          | 3.6875 | 3.6875 | 12.1875 | 4.25
+        a |  a0 |  a1
+          | 4.0 | 4.0
 
-        Select some rows only
+        Select some columns only
 
-        >>> arr.var(['a0', 'a1'])
-        b |   b0 |   b1 |  b2 |  b3
-          | 6.25 | 0.25 | 1.0 | 1.0
+        >>> arr.var(['b0', 'b1', 'b3'])
+        a |  a0 |  a1
+          | 9.0 | 4.0
         >>> # or equivalently
-        >>> # arr.var('a0,a1')
+        >>> # arr.var('b0,b1,b3')
 
         Split an axis in several parts
 
-        >>> arr.var((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |   b0 |   b1 |   b2 |   b3
-        a0,a1 | 6.25 | 0.25 |  1.0 |  1.0
-        a2,a3 | 2.25 | 16.0 | 6.25 | 2.25
+        >>> arr.var((['b0', 'b1', 'b3'], 'b5:'))
+        a\\b | b0,b1,b3 | b5:
+         a0 |      9.0 | 1.0
+         a1 |      4.0 | 1.0
         >>> # or equivalently
-        >>> # arr.var('a0,a1;a2,a3')
+        >>> # arr.var('b0,b1,b3;b5:')
 
         Same with renaming
 
-        >>> arr.var((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |   b0 |   b1 |   b2 |   b3
-        a01 | 6.25 | 0.25 |  1.0 |  1.0
-        a23 | 2.25 | 16.0 | 6.25 | 2.25
+        >>> arr.var((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        a\\b | b013 | b567
+         a0 |  9.0 |  1.0
+         a1 |  4.0 |  1.0
         >>> # or equivalently
-        >>> # arr.var('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("variance", kwargs="dtype,out,ddof,skipna,keepaxes"))
+        >>> # arr.var('b0,b1,b3>>b013;b5:>>b567')
+        """
         pass
 
-    @_decorate_agg_method(np.var, np.nanvar, by_agg=True)
+    @_decorate_agg_method(np.var, np.nanvar, by_agg=True, extra_kwargs=['dtype', 'ddof'], long_name="variance")
     def var_by(self, *args, **kwargs):
-        """
-        Computes the variance.
+        """{signature}
+        Computes the unbiased variance.
+
+        Normalized by N-1 by default. This can be changed using the ddof argument.
 
-        {}
+        {parameters}
 
         Returns
         -------
@@ -7966,59 +7994,56 @@ def var_by(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndtest((4, 4))
-        >>> arr[:,:] = [[10, 7, 5, 9], \
-                        [5, 8, 3, 7], \
-                        [6, 2, 0, 9], \
-                        [9, 10, 5, 6]]
+        >>> arr = ndtest((2, 8), dtype=float)
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
+                        [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 | 10 |  7 |  5 |  9
-         a1 |  5 |  8 |  3 |  7
-         a2 |  6 |  2 |  0 |  9
-         a3 |  9 | 10 |  5 |  6
+        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
+         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
+         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
         >>> arr.var_by()
-        7.96484375
+        4.7999999999999998
         >>> # along axis 'a'
         >>> arr.var_by(x.a)
-        a |     a0 |     a1 |      a2 |   a3
-          | 3.6875 | 3.6875 | 12.1875 | 4.25
-        >>> # along axis 'b'
-        >>> arr.var_by(x.b)
-        b |   b0 |     b1 |     b2 |     b3
-          | 4.25 | 8.6875 | 4.1875 | 1.6875
+        a |  a0 |  a1
+          | 4.0 | 4.0
 
-        Select some rows only
+        Select some columns only
 
-        >>> arr.var_by(['a0', 'a1'])
-        0.0
+        >>> arr.var_by(x.a, ['b0','b1','b3'])
+        a |  a0 |  a1
+          | 9.0 | 4.0
         >>> # or equivalently
-        >>> # arr.var_by('a0,a1')
+        >>> # arr.var_by('a','b0,b1,b3')
 
         Split an axis in several parts
 
-        >>> arr.var_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 |         a2,a3
-          |   0.0 | 15.7509765625
+        >>> arr.var_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
+        a\\b | b0,b1,b3 | b5:
+         a0 |      9.0 | 1.0
+         a1 |      4.0 | 1.0
         >>> # or equivalently
-        >>> # arr.var_by('a0,a1;a2,a3')
+        >>> # arr.var_by('a','b0,b1,b3;b5:')
 
         Same with renaming
 
-        >>> arr.var_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 |           a23
-          | 0.0 | 15.7509765625
+        >>> arr.var_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        a\\b | b013 | b567
+         a0 |  9.0 |  1.0
+         a1 |  4.0 |  1.0
         >>> # or equivalently
-        >>> # arr.var_by('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("variance", by=True, kwargs="dtype,out,ddof,skipna,keepaxes"))
+        >>> # arr.var_by('a','b0,b1,b3>>b013;b5:>>b567')
+        """
         pass
 
-    @_decorate_agg_method(np.std, np.nanstd)
+    @_decorate_agg_method(np.std, np.nanstd, extra_kwargs=['dtype', 'ddof'], long_name="standard deviation")
     def std(self, *args, **kwargs):
-        """
-        Computes the standard deviation.
+        """{signature}
+        Computes the sample standard deviation.
 
-        {}
+        Normalized by N-1 by default. This can be changed using the ddof argument.
+
+        {parameters}
 
         Returns
         -------
@@ -8032,58 +8057,57 @@ def std(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndtest((4, 4), dtype=float)
-        >>> arr[:,:] = [[10, 5, 7, 12], \
-                        [5, 8, 7, 9], \
-                        [5, 5, 3, 9], \
-                        [10, 8, 3, 12]]
+        >>> arr = ndtest((2, 8), dtype=float)
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
+                        [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |   b0 |  b1 |  b2 |   b3
-         a0 | 10.0 | 5.0 | 7.0 | 12.0
-         a1 |  5.0 | 8.0 | 7.0 |  9.0
-         a2 |  5.0 | 5.0 | 3.0 |  9.0
-         a3 | 10.0 | 8.0 | 3.0 | 12.0
+        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
+         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
+         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
         >>> arr.std()
-        2.7810744326608736
-        >>> # along axis 'a'
-        >>> arr.std(x.a)
-        b |  b0 |  b1 |  b2 |  b3
-          | 2.5 | 1.5 | 2.0 | 1.5
+        2.1908902300206643
+        >>> # along axis 'b'
+        >>> arr.std(x.b)
+        a |  a0 |  a1
+          | 2.0 | 2.0
 
-        Select some rows only
+        Select some columns only
 
-        >>> arr.std(['a0', 'a1'])
-        b |  b0 |  b1 |  b2 |  b3
-          | 2.5 | 1.5 | 0.0 | 1.5
+        >>> arr.std(['b0', 'b1', 'b3'])
+        a |  a0 |  a1
+          | 3.0 | 2.0
         >>> # or equivalently
-        >>> # arr.std('a0,a1')
+        >>> # arr.std('b0,b1,b3')
 
         Split an axis in several parts
 
-        >>> arr.std((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |  b0 |  b1 |  b2 |  b3
-        a0,a1 | 2.5 | 1.5 | 0.0 | 1.5
-        a2,a3 | 2.5 | 1.5 | 0.0 | 1.5
+        >>> arr.std((['b0', 'b1', 'b3'], 'b5:'))
+        a\\b | b0,b1,b3 | b5:
+         a0 |      3.0 | 1.0
+         a1 |      2.0 | 1.0
         >>> # or equivalently
-        >>> # arr.std('a0,a1;a2,a3')
+        >>> # arr.std('b0,b1,b3;b5:')
 
         Same with renaming
 
-        >>> arr.std((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |  b0 |  b1 |  b2 |  b3
-        a01 | 2.5 | 1.5 | 0.0 | 1.5
-        a23 | 2.5 | 1.5 | 0.0 | 1.5
+        >>> arr.std((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        a\\b | b013 | b567
+         a0 |  3.0 |  1.0
+         a1 |  2.0 |  1.0
         >>> # or equivalently
-        >>> # arr.std('a0,a1>>a01;a2,a3>>a23')
-        """.format(_doc_agg_method("standard deviation", kwargs="dtype,out,ddof,skipna,keepaxes"))
+        >>> # arr.std('b0,b1,b3>>b013;b5:>>b567')
+        """
         pass
 
-    @_decorate_agg_method(np.std, np.nanstd, by_agg=True)
+    @_decorate_agg_method(np.std, np.nanstd, by_agg=True, extra_kwargs=['dtype', 'ddof'],
+                          long_name="standard deviation")
     def std_by(self, *args, **kwargs):
-        """
-        Computes the standard deviation.
+        """{signature}
+        Computes the sample standard deviation.
 
-        {}
+        Normalized by N-1 by default. This can be changed using the ddof argument.
+
+        {parameters}
 
         Returns
         -------
@@ -8097,47 +8121,46 @@ def std_by(self, *args, **kwargs):
 
         Examples
         --------
-        >>> arr = ndtest((4, 4), dtype=float)
-        >>> arr[:,:] = [[10, 5, 7, 12], \
-                        [5, 8, 7, 9], \
-                        [5, 5, 3, 9], \
-                        [10, 8, 3, 12]]
+        >>> arr = ndtest((2, 8), dtype=float)
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
+                        [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |   b0 |  b1 |  b2 |   b3
-         a0 | 10.0 | 5.0 | 7.0 | 12.0
-         a1 |  5.0 | 8.0 | 7.0 |  9.0
-         a2 |  5.0 | 5.0 | 3.0 |  9.0
-         a3 | 10.0 | 8.0 | 3.0 | 12.0
+        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
+         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
+         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
         >>> arr.std_by()
-        2.7810744326608736
-        >>> # along axis 'b'
-        >>> arr.std_by(x.b)
-        b |  b0 |  b1 |  b2 |  b3
-          | 2.5 | 1.5 | 2.0 | 1.5
+        2.1908902300206643
+        >>> # along axis 'a'
+        >>> arr.std_by(x.a)
+        a |  a0 |  a1
+          | 2.0 | 2.0
 
-        Select some rows only
+        Select some columns only
 
-        >>> arr.std_by(['b0', 'b1'])
-        0.5
+        >>> arr.std_by(x.a, ['b0','b1','b3'])
+        a |  a0 |  a1
+          | 3.0 | 2.0
         >>> # or equivalently
-        >>> # arr.std_by('b0,b1')
+        >>> # arr.std_by('a','b0,b1,b3')
 
         Split an axis in several parts
 
-        >>> arr.std_by((['b0', 'b1'], ['b2', 'b3']))
-        b | b0,b1 | b2,b3
-          |   0.5 |  0.25
+        >>> arr.std_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
+        a\\b | b0,b1,b3 | b5:
+         a0 |      3.0 | 1.0
+         a1 |      2.0 | 1.0
         >>> # or equivalently
-        >>> # arr.std_by('b0,b1;b2,b3')
+        >>> # arr.std_by('a','b0,b1,b3;b5:')
 
         Same with renaming
 
-        >>> arr.std_by((x.b['b0', 'b1'] >> 'b01', x.b['b2', 'b3'] >> 'b23'))
-        b | b01 |  b23
-          | 0.5 | 0.25
+        >>> arr.std_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        a\\b | b013 | b567
+         a0 |  3.0 |  1.0
+         a1 |  2.0 |  1.0
         >>> # or equivalently
-        >>> # arr.std_by('b0,b1>>b01;b2,b3>>b23')
-        """.format(_doc_agg_method("standard deviation", by=True, kwargs="dtype,out,ddof,skipna,keepaxes"))
+        >>> # arr.std_by('a','b0,b1,b3>>b013;b5:>>b567')
+        """
         pass
 
     # cumulative aggregates
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index fd7ae2de5..76593d824 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2524,13 +2524,13 @@ def test_group_agg_anonymous_axis(self):
 
     def test_group_agg_on_int_array(self):
         # issue 193
-        arr = ndrange('year=2014..2016')
-        group = arr.year[:2015]
-        self.assertEqual(arr.mean(group), 0.5)
-        self.assertEqual(arr.median(group), 0.5)
-        self.assertEqual(arr.percentile(90, group), 0.9)
-        self.assertEqual(arr.std(group), 0.5)
-        self.assertEqual(arr.var(group), 0.25)
+        arr = ndrange('year=2014..2018')
+        group = arr.year[:2016]
+        self.assertEqual(arr.mean(group), 1.0)
+        self.assertEqual(arr.median(group), 1.0)
+        self.assertEqual(arr.percentile(90, group), 1.8)
+        self.assertEqual(arr.std(group), 1.0)
+        self.assertEqual(arr.var(group), 1.0)
 
     def test_group_agg_on_bool_array(self):
         # issue 194

From a953b4000b822b2288f052490c65bc3190b6f97d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 20 Apr 2017 15:53:05 +0200
Subject: [PATCH 478/899] added test_agg_kwargs()

---
 larray/core.py          |  2 --
 larray/tests/test_la.py | 16 ++++++++++++++++
 2 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index eb660ac8a..c21564d75 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4056,7 +4056,6 @@ def aslarray(a):
 
 
 def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[], kwargs=[]):
-
     if not long_name:
         long_name = func.__name__
     if not action_verb:
@@ -4120,7 +4119,6 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[],
 
         \**kwargs :
         {kwargs}
-
         """.format(args=doc_args, specific=doc_specific, action_verb=action_verb, long_name=long_name,
                    kwargs=doc_kwargs)
 
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 76593d824..7fcfbcc87 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -2798,6 +2798,22 @@ def test_sum_with_groups_from_other_axis(self):
                                      "label for any axis"):
             small.sum(lipro4['P01,P16'])
 
+    def test_agg_kwargs(self):
+        la = self.larray
+        data = self.array
+
+        # dtype
+        self.assertEqual(la.sum(dtype=int), data.sum(dtype=int))
+
+        # ddof
+        self.assertEqual(la.std(ddof=0), data.std(ddof=0))
+
+        # out
+        res = la.std(x.sex)
+        out = zeros_like(res)
+        la.std(x.sex, out=out)
+        assert_array_equal(res, out)
+
     def test_agg_by(self):
         la = self.larray
         age, geo, sex, lipro = la.axes

From f374a8fe0f24283b229f5de108c071f417f3e9f5 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 13 Apr 2017 14:08:46 +0200
Subject: [PATCH 479/899] fix #192 : made percentile([multiple, percentiles],
 axis) working.

Result array contains a new Axis with name='percentile' and labels=[multiple, percentiles]
---
 doc/source/changes/version_0_22.rst.inc |  6 +++-
 larray/core.py                          | 38 +++++++++++++++++++++----
 2 files changed, 37 insertions(+), 7 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 04ebdf635..3dd66a67c 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -182,7 +182,11 @@ Fixes
 * fixed keyword arguments as `out`, `ddof`, ... for aggregation functions
   (closes : issue:`189`)
 
-* fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
+* fixed percentile(_by) with multiple percentiles values (i.e. when argument `q` is a list/tuple).
+  (closes :issue:`192`)
+
+* fixed group aggregates on integer arrays for median, percentile, var and std
+  (closes :issue:`193`).
 
 * fixed group sum over boolean arrays (closes :issue:`194`).
 
diff --git a/larray/core.py b/larray/core.py
index c21564d75..4cfd5c9f6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -7692,6 +7692,10 @@ def median_by(self, *args, **kwargs):
         """
         pass
 
+    # XXX : for performance reasons, we should use the fact that the
+    #       underlying numpy function handles multiple percentiles in one call.
+    #       This is easy to implement in _axis_aggregate() but not in _group_aggregate()
+    #       since in this case np.percentile() may be called several times.
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
     def percentile(self, q, *args, **kwargs):
@@ -7729,6 +7733,12 @@ def percentile(self, q, *args, **kwargs):
         >>> arr.percentile(25, x.b)
         a |   a0 |   a1 |   a2 |    a3
           | 0.75 | 4.75 | 8.75 | 12.75
+        >>> # several percentile values
+        >>> arr.percentile([25, 50, 75], x.b)
+        percentile\\a |   a0 |   a1 |    a2 |    a3
+                  25 | 0.75 | 4.75 |  8.75 | 12.75
+                  50 |  1.5 |  5.5 |   9.5 |  13.5
+                  75 | 2.25 | 6.25 | 10.25 | 14.25
 
         Select some rows only
 
@@ -7763,9 +7773,14 @@ def percentile(self, q, *args, **kwargs):
             skipna = True
         _npfunc = np.nanpercentile if skipna else np.percentile
         interpolation = kwargs.pop('interpolation', _kwarg_agg['interpolation']['value'])
-        _extra_kwargs = {'q': q, 'interpolation': interpolation}
-        return self._aggregate(_npfunc, args, kwargs, by_agg=False, keepaxes=keepaxes,
-                               commutative=True, out=out, extra_kwargs=_extra_kwargs)
+        if isinstance(q, (list, tuple)):
+            res = stack([(v, self._aggregate(_npfunc, args, kwargs, keepaxes=keepaxes, commutative=True,
+                          extra_kwargs={'q': v, 'interpolation': interpolation})) for v in q], 'percentile')
+            return res.transpose()
+        else :
+            _extra_kwargs = {'q': q, 'interpolation': interpolation}
+            return self._aggregate(_npfunc, args, kwargs, by_agg=False, keepaxes=keepaxes, commutative=True,
+                                   out=out, extra_kwargs=_extra_kwargs)
 
     _doc_agg_method(percentile, False, "qth percentile", extra_args=['q'],
                     kwargs=['out', 'interpolation', 'skipna', 'keepaxes'])
@@ -7805,6 +7820,12 @@ def percentile_by(self, q, *args, **kwargs):
         >>> arr.percentile_by(25, x.b)
         b |  b0 |  b1 |  b2 |  b3
           | 3.0 | 4.0 | 5.0 | 6.0
+        >>> # several percentile values
+        >>> arr.percentile_by([25, 50, 75], x.b)
+        percentile\\b |  b0 |   b1 |   b2 |   b3
+                  25 | 3.0 |  4.0 |  5.0 |  6.0
+                  50 | 6.0 |  7.0 |  8.0 |  9.0
+                  75 | 9.0 | 10.0 | 11.0 | 12.0
 
         Select some rows only
 
@@ -7836,9 +7857,14 @@ def percentile_by(self, q, *args, **kwargs):
             skipna = True
         _npfunc = np.nanpercentile if skipna else np.percentile
         interpolation = kwargs.pop('interpolation', _kwarg_agg['interpolation']['value'])
-        _extra_kwargs = {'q': q, 'interpolation': interpolation}
-        return self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes,
-                               commutative=True, out=out, extra_kwargs=_extra_kwargs)
+        if isinstance(q, (list, tuple)):
+            res = stack([(v, self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes, commutative=True,
+                          extra_kwargs={'q': v, 'interpolation': interpolation})) for v in q], 'percentile')
+            return res.transpose()
+        else:
+            _extra_kwargs = {'q': q, 'interpolation': interpolation}
+            return self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes, commutative=True,
+                                    out=out, extra_kwargs=_extra_kwargs)
 
     _doc_agg_method(percentile_by, True, "qth percentile", extra_args=['q'],
                     kwargs=['out', 'interpolation', 'skipna', 'keepaxes'])

From e6ab2cb60c5aea75c73e9909beb96fcc3b32c028 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 24 Apr 2017 15:07:28 +0200
Subject: [PATCH 480/899] make LArray objects (un)picklable (to pave the way
 for #216)

---
 larray/core.py   |  15 +++
 larray/ufuncs.py | 233 ++++++++++++++++++++++++++++-------------------
 2 files changed, 154 insertions(+), 94 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 4cfd5c9f6..8f788fdb8 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2506,6 +2506,14 @@ def __getattr__(self, key):
         except KeyError:
             return self.__getattribute__(key)
 
+    # needed to make *un*pickling work (because otherwise, __getattr__ is called before _map exists, which leads to
+    # an infinite recursion)
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
     def __getitem__(self, key):
         if isinstance(key, Axis):
             try:
@@ -11353,6 +11361,13 @@ def evaluate(self, context):
 
 
 class AxisReferenceFactory(object):
+    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__):
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
     def __getattr__(self, key):
         return AxisReference(key)
 
diff --git a/larray/ufuncs.py b/larray/ufuncs.py
index 765a0c127..d7d2c2f2c 100644
--- a/larray/ufuncs.py
+++ b/larray/ufuncs.py
@@ -5,9 +5,51 @@
 
 from larray.core import LArray, make_numpy_broadcastable
 
+__all__ = [
+    # Trigonometric functions
+    'sin', 'cos', 'tan', 'arcsin', 'arccos', 'arctan', 'hypot', 'arctan2', 'degrees', 'radians', 'unwrap',
+    # 'deg2rad', 'rad2deg',
 
-def wrapper(func):
-    def wrapped(*args, **kwargs):
+    # Hyperbolic functions
+    'sinh', 'cosh', 'tanh', 'arcsinh', 'arccosh', 'arctanh',
+
+    # Rounding
+    'round', 'around', 'round_', 'rint', 'fix', 'floor', 'ceil', 'trunc',
+
+    # Sums, products, differences
+    # 'prod', 'sum', 'nansum', 'cumprod', 'cumsum',
+
+    # cannot use a simple wrapped ufunc because those ufuncs do not preserve shape or dimensions so labels are wrong
+    # 'diff', 'ediff1d', 'gradient', 'cross', 'trapz',
+
+    # Exponents and logarithms
+    'exp', 'expm1', 'exp2', 'log', 'log10', 'log2', 'log1p', 'logaddexp', 'logaddexp2',
+
+    # Other special functions
+    'i0', 'sinc',
+
+    # Floating point routines
+    'signbit', 'copysign', 'frexp', 'ldexp',
+
+    # Arithmetic operations
+    # 'add', 'reciprocal', 'negative', 'multiply', 'divide', 'power', 'subtract', 'true_divide', 'floor_divide',
+    # 'fmod', 'mod', 'modf', 'remainder',
+
+    # Handling complex numbers
+    'angle', 'real', 'imag', 'conj',
+
+    # Miscellaneous
+    'convolve', 'clip', 'sqrt',
+    # 'square',
+    'absolute', 'fabs', 'sign', 'maximum', 'minimum', 'fmax', 'fmin', 'nan_to_num', 'real_if_close',
+    'interp', 'where', 'isnan', 'isinf',
+    'inverse',
+]
+
+
+def broadcastify(func):
+    # intentionally not using functools.wraps, because it does not work for wrapping a function from another module
+    def wrapper(*args, **kwargs):
         # TODO: normalize args/kwargs like in LIAM2 so that we can also
         # broadcast if args are given via kwargs (eg out=)
         args, combined_axes = make_numpy_broadcastable(args)
@@ -34,130 +76,133 @@ def wrapped(*args, **kwargs):
             return LArray(res_data, combined_axes)
         else:
             return res_data
-        # return func(*args, **kwargs)
-    wrapped.__name__ = func.__name__
-    wrapped.__doc__ = func.__doc__
-    return wrapped
+    # copy meaningful attributes (numpy ufuncs do not have __annotations__ nor __qualname__)
+    wrapper.__name__ = func.__name__
+    wrapper.__doc__ = func.__doc__
+    # set __qualname__ explicitly (all these functions are supposed to be top-level function in the ufuncs module)
+    wrapper.__qualname__ = func.__name__
+    # we should not copy __module__
+    return wrapper
 
 
 # Trigonometric functions
 
-sin = wrapper(np.sin)
-cos = wrapper(np.cos)
-tan = wrapper(np.tan)
-arcsin = wrapper(np.arcsin)
-arccos = wrapper(np.arccos)
-arctan = wrapper(np.arctan)
-hypot = wrapper(np.hypot)
-arctan2 = wrapper(np.arctan2)
-degrees = wrapper(np.degrees)
-radians = wrapper(np.radians)
-unwrap = wrapper(np.unwrap)
-# deg2rad = wrapper(np.deg2rad)
-# rad2deg = wrapper(np.rad2deg)
+sin = broadcastify(np.sin)
+cos = broadcastify(np.cos)
+tan = broadcastify(np.tan)
+arcsin = broadcastify(np.arcsin)
+arccos = broadcastify(np.arccos)
+arctan = broadcastify(np.arctan)
+hypot = broadcastify(np.hypot)
+arctan2 = broadcastify(np.arctan2)
+degrees = broadcastify(np.degrees)
+radians = broadcastify(np.radians)
+unwrap = broadcastify(np.unwrap)
+# deg2rad = broadcastify(np.deg2rad)
+# rad2deg = broadcastify(np.rad2deg)
 
 # Hyperbolic functions
 
-sinh = wrapper(np.sinh)
-cosh = wrapper(np.cosh)
-tanh = wrapper(np.tanh)
-arcsinh = wrapper(np.arcsinh)
-arccosh = wrapper(np.arccosh)
-arctanh = wrapper(np.arctanh)
+sinh = broadcastify(np.sinh)
+cosh = broadcastify(np.cosh)
+tanh = broadcastify(np.tanh)
+arcsinh = broadcastify(np.arcsinh)
+arccosh = broadcastify(np.arccosh)
+arctanh = broadcastify(np.arctanh)
 
 # Rounding
 
 # all 3 are equivalent, I am unsure I should support around and round_
-round = wrapper(np.round)
-around = wrapper(np.around)
-round_ = wrapper(np.round_)
-rint = wrapper(np.rint)
-fix = wrapper(np.fix)
-floor = wrapper(np.floor)
-ceil = wrapper(np.ceil)
-trunc = wrapper(np.trunc)
+round = broadcastify(np.round)
+around = broadcastify(np.around)
+round_ = broadcastify(np.round_)
+rint = broadcastify(np.rint)
+fix = broadcastify(np.fix)
+floor = broadcastify(np.floor)
+ceil = broadcastify(np.ceil)
+trunc = broadcastify(np.trunc)
 
 # Sums, products, differences
 
-# prod = wrapper(np.prod)
-# sum = wrapper(np.sum)
-# nansum = wrapper(np.nansum)
-# cumprod = wrapper(np.cumprod)
-# cumsum = wrapper(np.cumsum)
+# prod = broadcastify(np.prod)
+# sum = broadcastify(np.sum)
+# nansum = broadcastify(np.nansum)
+# cumprod = broadcastify(np.cumprod)
+# cumsum = broadcastify(np.cumsum)
 
 # cannot use a simple wrapped ufunc because those ufuncs do not preserve
 # shape or dimensions so labels are wrong
-# diff = wrapper(np.diff)
-# ediff1d = wrapper(np.ediff1d)
-# gradient = wrapper(np.gradient)
-# cross = wrapper(np.cross)
-# trapz = wrapper(np.trapz)
+# diff = broadcastify(np.diff)
+# ediff1d = broadcastify(np.ediff1d)
+# gradient = broadcastify(np.gradient)
+# cross = broadcastify(np.cross)
+# trapz = broadcastify(np.trapz)
 
 # Exponents and logarithms
 
-exp = wrapper(np.exp)
-expm1 = wrapper(np.expm1)
-exp2 = wrapper(np.exp2)
-log = wrapper(np.log)
-log10 = wrapper(np.log10)
-log2 = wrapper(np.log2)
-log1p = wrapper(np.log1p)
-logaddexp = wrapper(np.logaddexp)
-logaddexp2 = wrapper(np.logaddexp2)
+exp = broadcastify(np.exp)
+expm1 = broadcastify(np.expm1)
+exp2 = broadcastify(np.exp2)
+log = broadcastify(np.log)
+log10 = broadcastify(np.log10)
+log2 = broadcastify(np.log2)
+log1p = broadcastify(np.log1p)
+logaddexp = broadcastify(np.logaddexp)
+logaddexp2 = broadcastify(np.logaddexp2)
 
 # Other special functions
 
-i0 = wrapper(np.i0)
-sinc = wrapper(np.sinc)
+i0 = broadcastify(np.i0)
+sinc = broadcastify(np.sinc)
 
 # Floating point routines
 
-signbit = wrapper(np.signbit)
-copysign = wrapper(np.copysign)
-frexp = wrapper(np.frexp)
-ldexp = wrapper(np.ldexp)
+signbit = broadcastify(np.signbit)
+copysign = broadcastify(np.copysign)
+frexp = broadcastify(np.frexp)
+ldexp = broadcastify(np.ldexp)
 
 # Arithmetic operations
 
-# add = wrapper(np.add)
-# reciprocal = wrapper(np.reciprocal)
-# negative = wrapper(np.negative)
-# multiply = wrapper(np.multiply)
-# divide = wrapper(np.divide)
-# power = wrapper(np.power)
-# subtract = wrapper(np.subtract)
-# true_divide = wrapper(np.true_divide)
-# floor_divide = wrapper(np.floor_divide)
-# fmod = wrapper(np.fmod)
-# mod = wrapper(np.mod)
-modf = wrapper(np.modf)
-# remainder = wrapper(np.remainder)
+# add = broadcastify(np.add)
+# reciprocal = broadcastify(np.reciprocal)
+# negative = broadcastify(np.negative)
+# multiply = broadcastify(np.multiply)
+# divide = broadcastify(np.divide)
+# power = broadcastify(np.power)
+# subtract = broadcastify(np.subtract)
+# true_divide = broadcastify(np.true_divide)
+# floor_divide = broadcastify(np.floor_divide)
+# fmod = broadcastify(np.fmod)
+# mod = broadcastify(np.mod)
+# modf = broadcastify(np.modf)
+# remainder = broadcastify(np.remainder)
 
 # Handling complex numbers
 
-angle = wrapper(np.angle)
-real = wrapper(np.real)
-imag = wrapper(np.imag)
-conj = wrapper(np.conj)
+angle = broadcastify(np.angle)
+real = broadcastify(np.real)
+imag = broadcastify(np.imag)
+conj = broadcastify(np.conj)
 
 # Miscellaneous
 
-convolve = wrapper(np.convolve)
-clip = wrapper(np.clip)
-sqrt = wrapper(np.sqrt)
-# square = wrapper(np.square)
-absolute = wrapper(np.absolute)
-fabs = wrapper(np.fabs)
-sign = wrapper(np.sign)
-maximum = wrapper(np.maximum)
-minimum = wrapper(np.minimum)
-fmax = wrapper(np.fmax)
-fmin = wrapper(np.fmin)
-nan_to_num = wrapper(np.nan_to_num)
-real_if_close = wrapper(np.real_if_close)
-interp = wrapper(np.interp)
-where = wrapper(np.where)
-isnan = wrapper(np.isnan)
-isinf = wrapper(np.isinf)
-
-inverse = wrapper(np.linalg.inv)
\ No newline at end of file
+convolve = broadcastify(np.convolve)
+clip = broadcastify(np.clip)
+sqrt = broadcastify(np.sqrt)
+# square = broadcastify(np.square)
+absolute = broadcastify(np.absolute)
+fabs = broadcastify(np.fabs)
+sign = broadcastify(np.sign)
+maximum = broadcastify(np.maximum)
+minimum = broadcastify(np.minimum)
+fmax = broadcastify(np.fmax)
+fmin = broadcastify(np.fmin)
+nan_to_num = broadcastify(np.nan_to_num)
+real_if_close = broadcastify(np.real_if_close)
+interp = broadcastify(np.interp)
+where = broadcastify(np.where)
+isnan = broadcastify(np.isnan)
+isinf = broadcastify(np.isinf)
+
+inverse = broadcastify(np.linalg.inv)

From e3bee75130da572f386c24e375138d0af5b00755 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 24 Apr 2017 15:10:03 +0200
Subject: [PATCH 481/899] restore PyQt4 behavior on PyQt5: exceptions do not
 crash the viewer and display the exception

---
 larray/viewer.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index 1284a9801..6a0629134 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -76,6 +76,7 @@
 import re
 import sys
 import os
+import traceback
 
 from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate,
                             QListWidget, QSplitter, QListWidgetItem,
@@ -2606,6 +2607,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     """
     _app = QApplication.instance()
     if _app is None:
+        install_except_hook()
         _app = qapplication()
         parent = None
     else:
@@ -2630,6 +2632,8 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
             dlg.show()
         else:
             dlg.exec_()
+    if parent is None:
+        restore_except_hook()
 
 
 def view(obj=None, title='', depth=0):
@@ -2655,6 +2659,7 @@ def compare(*args, **kwargs):
     title = kwargs.pop('title', '')
     _app = QApplication.instance()
     if _app is None:
+        install_except_hook()
         _app = qapplication()
         parent = None
     else:
@@ -2677,6 +2682,24 @@ def get_name(i, obj, depth=0):
             dlg.show()
         else:
             dlg.exec_()
+    if parent is None:
+        restore_except_hook()
+
+
+_orig_except_hook = sys.excepthook
+
+
+def _qt_except_hook(type, value, tback):
+    # only print the exception and do *not* exit the program
+    traceback.print_exception(type, value, tback)
+
+
+def install_except_hook():
+    sys.excepthook = _qt_except_hook
+
+
+def restore_except_hook():
+    sys.excepthook = _orig_except_hook
 
 
 _orig_display_hook = sys.displayhook

From dda1a9c6ac53290861c6ded847146f6985c0f953 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 24 Apr 2017 15:39:43 +0200
Subject: [PATCH 482/899] better __getattr__ behavior for LArray and Session.

Session.__getattr__ raise AttributeError instead of KeyError on bad key, which makes getattr(s, 'toto', None) work
---
 larray/core.py    | 8 +++-----
 larray/session.py | 5 ++++-
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8f788fdb8..1daf1a680 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4359,12 +4359,10 @@ def with_axes(self, axes):
         return self.set_axes(axes)
 
     def __getattr__(self, key):
-        try:
+        if key in self.axes:
             return self.axes[key]
-        # XXX: maybe I should only catch KeyError here and be more aggressive
-        #  in __getitem__ to raise KeyError on any exception
-        except Exception:
-            return self.__getattribute__(key)
+        else:
+            raise AttributeError("'{}' object has no attribute '{}'".format(self.__class__.__name__, key))
 
     def __dir__(self):
         names = set(axis.name for axis in self.axes if axis.name is not None)
diff --git a/larray/session.py b/larray/session.py
index 2e235ba48..75d981404 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -331,7 +331,10 @@ def __setitem__(self, key, value):
         self._objects[key] = value
 
     def __getattr__(self, key):
-        return self._objects[key]
+        if key in self._objects:
+            return self._objects[key]
+        else:
+            raise AttributeError("'{}' object has no attribute '{}'".format(self.__class__.__name__, key))
 
     def __setattr__(self, key, value):
         self._objects[key] = value

From 86df0a2290ae43c09059a7e124668bde016cb9b9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 24 Apr 2017 15:46:13 +0200
Subject: [PATCH 483/899] improved changelog for 0.22

---
 doc/source/changes/version_0_22.rst.inc | 55 ++++++++++++-------------
 1 file changed, 26 insertions(+), 29 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 3dd66a67c..bf8e56541 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -76,8 +76,6 @@
 
   even if this could suffer, to a lesser extent, the same problem as above when stacking many arrays.
 
-* updated AxisCollection.replace so as to replace one, several or all axes.
-
 * implemented reindex allowing to change order of labels (and add new ones) of one or several axes:
 
     >>> arr = ndtest((2, 2))
@@ -103,11 +101,11 @@
      a1 |  2 |  3 | -1
      a2 | -1 | -1 | -1
 
-    (closes :issue:`18`).
+  This closes :issue:`18`.
 
-* added load_example_data function to load datasets used in tutorial and be able to reproduce examples.
-  The name of the dataset must be provided as argument (there is currently only one available dataset).
-  Datasets are returned as Session objects:
+* added load_example_data function to load datasets used in tutorial and be able to reproduce examples. The name of the
+  dataset must be provided as argument (there is currently only one available dataset). Datasets are returned as
+  Session objects:
 
     >>> demo = load_example_data('demography')
     >>> demo.pop.info
@@ -127,17 +125,27 @@
 
   (closes :issue:`170`)
 
-* viewer: added possibility to delete an array by pressing Delete on keyboard.
-  (closes :issue:`116`)
+* viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
-.. _misc:
 
+.. _misc:
 
 Miscellaneous improvements
 --------------------------
 
+* inverted `name` and `labels` arguments when creating an Axis and made `name` argument optional (to create anonymous
+  axes). Now, it is also possible to create an Axis by passing a single string of the kind 'name=labels':
+
+    >>> anonymous = Axis('0..100')
+    >>> age = Axis('age=0..100')
+    >>> gender = Axis('M,F', 'gender')
+
+  (closes :issue:`152`)
+
+* changed default value of `ddof` argument for var and std functions from 0 to 1 (closes :issue:`190`).
+
 * handle ... in transpose method to avoid having to list all axes. This can be useful, for example, to change which
-  axis is in columns (closes :issue:`188`).
+  axis is displayed in columns (closes :issue:`188`).
 
     >>> arr.transpose(..., 'time')
     >>> arr.transpose('gender', ..., 'time')
@@ -151,6 +159,8 @@ Miscellaneous improvements
     >>> test.i[1].split('-')
     ['a1', 'a2']
 
+* updated AxisCollection.replace so as to replace one, several or all axes.
+
 * made create_sequential axis argument accept all the ways to create axes supported by other array creation functions
   like, for example, using a string definition (closes :issue:`160`).
 
@@ -158,29 +168,16 @@ Miscellaneous improvements
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
 
-* inverted `name` and `labels` arguments when creating an Axis.
-  Argument `name` is optional (anonymous axis).
-  It is also possible to create an Axis by passing a single string of the kind 'name=labels':
-
-    >>> anonymous = Axis('0..100')
-    >>> age = Axis('age=0..100')
-    >>> gender = Axis('M,F', 'gender')
-
-(closes :issue:`152`)
-
-* replaced *args, **kwargs by explicit arguments in documentation of aggregation functions
-  (sum, prod, mean, std, var, ...). (closes :issue:`41`)
+* replaced *args, **kwargs by explicit arguments in documentation of aggregation functions (sum, prod, mean, std,
+  var, ...). Closes :issue:`41`.
 
-* improved documentation of plot method (closes :issue:`169`)
+* improved documentation of plot method (closes :issue:`169`).
 
-* Default value of argument `ddof` for var and std functions set to 1 instead of 0.
-  (closes :issue:`190`)
 
 Fixes
 -----
 
-* fixed keyword arguments as `out`, `ddof`, ... for aggregation functions
-  (closes : issue:`189`)
+* fixed keyword arguments such as `out`, `ddof`, ... for aggregation functions (closes :issue:`189`).
 
 * fixed percentile(_by) with multiple percentiles values (i.e. when argument `q` is a list/tuple).
   (closes :issue:`192`)
@@ -190,7 +187,7 @@ Fixes
 
 * fixed group sum over boolean arrays (closes :issue:`194`).
 
-* fixed set_labels when inplace=True
+* fixed set_labels when inplace=True.
 
 * fixed array creation functions not raising an exception when called with wrong syntax func(axis1, axis2, ...)
-  instead of func([axis1, axis2, ...]). (closes :issue:`203`)
+  instead of func([axis1, axis2, ...]) (closes :issue:`203`).

From 866ca0bc75805ce691e177104bebe9ff23a4cd58 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 24 Apr 2017 16:12:31 +0200
Subject: [PATCH 484/899] improved auto-completion in interactive consoles for
 both LArray and Session objects

---
 doc/source/changes/version_0_22.rst.inc | 17 +++++++++++++++++
 larray/core.py                          |  3 +++
 larray/session.py                       |  6 ++++++
 3 files changed, 26 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index bf8e56541..65663682c 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -173,6 +173,23 @@ Miscellaneous improvements
 
 * improved documentation of plot method (closes :issue:`169`).
 
+* improved auto-completion in interactive consoles for both LArray and Session objects. LArray objects can now
+  complete keys within [].
+
+    >>> a = ndrange('sex=Male,Female')
+    >>> a
+    sex | Male | Female
+        |    0 |      1
+    >>> a['Fe<tab>`
+
+  will autocomplete to `a['Female`. Sessions will now auto-complete both attributes (using `session.`) and keys
+  (using `session[`).
+
+    >>> s = Session({'a_nice_test_array': ndtest(10)})
+    >>> s.a_<tab>
+
+  will autocomplete to `s.a_nice_test_array` and `s['a_<tab>` will be completed to `s['a_nice_test_array`
+
 
 Fixes
 -----
diff --git a/larray/core.py b/larray/core.py
index 1daf1a680..53dc27fc0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4368,6 +4368,9 @@ def __dir__(self):
         names = set(axis.name for axis in self.axes if axis.name is not None)
         return list(set(dir(self.__class__)) | names)
 
+    def _ipython_key_completions_(self):
+        return list(chain(*[list(labels) for labels in self.axes.labels]))
+
     @property
     def i(self):
         """
diff --git a/larray/session.py b/larray/session.py
index 75d981404..0a3199d2e 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -330,6 +330,9 @@ def get(self, key, default=None):
     def __setitem__(self, key, value):
         self._objects[key] = value
 
+    def _ipython_key_completions_(self):
+        return list(self.keys())
+
     def __getattr__(self, key):
         if key in self._objects:
             return self._objects[key]
@@ -339,6 +342,9 @@ def __getattr__(self, key):
     def __setattr__(self, key, value):
         self._objects[key] = value
 
+    def __dir__(self):
+        return list(set(dir(self.__class__)) | set(self.keys()))
+
     def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         Loads array objects from a file.

From d842fd5d4791463003b025d31463f7a68778c95e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 1 May 2017 16:25:58 +0200
Subject: [PATCH 485/899] fix #232 : replaced nose by pytest

---
 .travis.yml                  |  4 ++--
 larray/tests/test_ipfp.py    |  2 +-
 larray/tests/test_la.py      | 12 ++++++------
 larray/tests/test_session.py |  2 +-
 setup.cfg                    |  8 ++++++++
 setup.py                     |  7 +++----
 6 files changed, 21 insertions(+), 14 deletions(-)
 create mode 100644 setup.cfg

diff --git a/.travis.yml b/.travis.yml
index 539f1c74a..c853050d3 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -47,13 +47,13 @@ install:
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
             numpy pandas pytables pyqt qtpy matplotlib xlrd openpyxl
-            xlsxwriter nose
+            xlsxwriter pytest
     - source activate travisci
 
 script:
     # exclude (doc)tests from ufuncs (because docstrings are copied from numpy
     # and many of those doctests are failing
-    - nosetests -v --with-doctest --exclude=larray.ufuncs
+    - pytest
 
 notifications:
     on_success: "change"
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index a2e22e204..0c00c2d58 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -1,7 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
 from unittest import TestCase
-import unittest
+import pytest
 
 from larray import Axis, LArray, ndrange
 from larray.tests.test_la import assert_array_equal
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 7fcfbcc87..1d6046e56 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3,7 +3,7 @@
 import os.path
 import sys
 from unittest import TestCase
-import unittest
+import pytest
 
 import numpy as np
 import pandas as pd
@@ -3319,7 +3319,7 @@ def test_read_eurostat(self):
         assert_array_equal(la[x.arr['1'], '0', 'F', x.nat['1'], :],
                            [3722, 3395, 3347])
 
-    @unittest.skipIf(xw is None, "xlwings is not available")
+    @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_read_excel_xlwings(self):
         la = read_excel(abspath('test.xlsx'), '1d')
         self.assertEqual(la.ndim, 1)
@@ -3555,7 +3555,7 @@ def test_to_excel_xlsxwriter(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
-    @unittest.skipIf(xw is None, "xlwings is not available")
+    @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_to_excel_xlwings(self):
         # TODO: we should implement an app= argument to to_excel to reuse the same Excel instance
         fpath = abspath('test_to_excel_xlwings.xlsx')
@@ -3613,7 +3613,7 @@ def test_to_excel_xlwings(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
-    @unittest.skipIf(xw is None, "xlwings is not available")
+    @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_open_excel(self):
         # use a single Excel instance to speed up the test
         app = xw.App(visible=False, add_book=False)
@@ -3891,7 +3891,7 @@ def test_diag(self):
         self.assertEqual(d.i[0], 1.0)
         self.assertEqual(d.i[1], 1.0)
 
-    @unittest.skipIf(sys.version_info < (3, 5), "@ unavailable (Python < 3.5)")
+    @pytest.mark.skipif(sys.version_info < (3, 5), reason="@ unavailable (Python < 3.5)")
     def test_matmul(self):
         # 2D / anonymous axes
         a1 = eye(3) * 2
@@ -4046,7 +4046,7 @@ def test_matmul(self):
         assert_array_equal(arr2d.__matmul__(arr4d), res)
 
 
-    @unittest.skipIf(sys.version_info < (3, 5), "@ unavailable (Python < 3.5)")
+    @pytest.mark.skipif(sys.version_info < (3, 5), reason="@ unavailable (Python < 3.5)")
     def test_rmatmul(self):
         a1 = eye(3) * 2
         a2 = ndrange((3, 3))
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index b9d915101..6a703c9c9 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -1,7 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
 from unittest import TestCase
-import unittest
+import pytest
 
 import numpy as np
 
diff --git a/setup.cfg b/setup.cfg
new file mode 100644
index 000000000..aedd287c2
--- /dev/null
+++ b/setup.cfg
@@ -0,0 +1,8 @@
+[aliases]
+test=pytest
+
+[tool:pytest]
+testpaths = larray
+addopts = -v --doctest-modules --ignore=larray/ufuncs.py
+#--maxfail=1 --cov (requires pytest-cov) --pep8 (requires pytest-pep8)
+#pep8maxlinelength = 119
diff --git a/setup.py b/setup.py
index fd7c3e980..f19f0a09f 100644
--- a/setup.py
+++ b/setup.py
@@ -3,7 +3,6 @@
 import os
 from setuptools import setup, find_packages
 
-
 def readlocal(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read()
 
@@ -15,8 +14,8 @@ def readlocal(fname):
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")
 INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1']
-TESTS_REQUIRE = ['nose >= 1.0']
-TEST_SUITE = 'nose.collector'
+TESTS_REQUIRE = ['pytest']
+SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'
 PACKAGE_DATA = {'larray': ['tests/data/*']}
@@ -50,8 +49,8 @@ def readlocal(fname):
     long_description=LONG_DESCRIPTION,
     install_requires=INSTALL_REQUIRES,
     tests_require=TESTS_REQUIRE,
+    setup_requires=SETUP_REQUIRES,
     url=URL,
-    test_suite=TEST_SUITE,
     packages=find_packages(),
     package_data=PACKAGE_DATA,
 )

From d0f16804bdb6c6f85b387deefcb569f76f4b60b7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 5 Apr 2017 17:29:25 +0200
Subject: [PATCH 486/899] fix #88 : (viewer) MappingEditor inherites from
 QMainWindow instead of QDialog and includes a menubar with menus File and
 Help.

The menu File includes New, Open, Save, SaveAS, OpenRecent and Quit

The menu Help is a link to online documentation of larray.
---
 larray/viewer.py | 371 +++++++++++++++++++++++++++++++++--------------
 1 file changed, 266 insertions(+), 105 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6a0629134..fde00eaba 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -78,21 +78,18 @@
 import os
 import traceback
 
-from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate,
-                            QListWidget, QSplitter, QListWidgetItem,
-                            QLineEdit, QCheckBox, QGridLayout,
-                            QDialog, QDialogButtonBox, QPushButton,
-                            QMessageBox, QMenu,
-                            QLabel, QSpinBox, QWidget, QVBoxLayout,
-                            QAction, QStyle, QToolTip, QShortcut)
-
-from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence,
+from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate, QListWidget, QSplitter,
+                            QListWidgetItem, QLineEdit, QCheckBox, QGridLayout, QFileDialog, QDialog,
+                            QDialogButtonBox, QPushButton, QMessageBox, QMenu, QMenuBar, QMainWindow, QLabel,
+                            QSpinBox, QWidget, QVBoxLayout, QAction, QStyle, QToolTip, QShortcut)
+
+from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence, QDesktopServices,
                         QFont, QIcon, QFontMetrics, QCursor)
 
-from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection,
-                         QItemSelectionModel, QItemSelectionRange, QVariant, Slot)
+from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection, QItemSelectionModel,
+                         QItemSelectionRange, QVariant, QSettings, QUrl, Slot)
 
-from qtpy import QT_VERSION
+from qtpy import PYQT5
 
 import numpy as np
 
@@ -100,7 +97,7 @@
     import matplotlib
     from matplotlib.figure import Figure
 
-    if QT_VERSION[0] == '5':
+    if PYQT5:
         from matplotlib.backends.backend_qt5agg import FigureCanvas
         from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
     else:
@@ -190,7 +187,7 @@ def keybinding(attr):
     return QKeySequence.keyBindings(ks)[0]
 
 
-def create_action(parent, text, icon=None, triggered=None, shortcut=None):
+def create_action(parent, text, icon=None, triggered=None, shortcut=None, statustip=None):
     """Create a QAction"""
     action = QAction(text, parent)
     if triggered is not None:
@@ -199,6 +196,8 @@ def create_action(parent, text, icon=None, triggered=None, shortcut=None):
         action.setIcon(icon)
     if shortcut is not None:
         action.setShortcut(shortcut)
+    if statustip is not None:
+        action.setStatusTip(statustip)
     action.setShortcutContext(Qt.WidgetShortcut)
     return action
 
@@ -436,8 +435,7 @@ def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
         self.minvalue = minvalue
         self.maxvalue = maxvalue
         # TODO: check that data respects minvalue/maxvalue
-        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient,
-                       bg_value=bg_value)
+        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
 
     def get_format(self):
         """Return current format"""
@@ -453,8 +451,7 @@ def set_data(self, data, xlabels=None, ylabels=None, changes=None,
         self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
         self.reset()
 
-    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
-                  bg_value=None):
+    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
         if changes is None:
             changes = {}
         if data is None:
@@ -464,8 +461,7 @@ def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
             if dtn not in SUPPORTED_FORMATS and not dtn.startswith('str') \
                     and not dtn.startswith('unicode'):
                 msg = _("%s arrays are currently not supported")
-                QMessageBox.critical(self.dialog, "Error",
-                                     msg % data.dtype.name)
+                QMessageBox.critical(self.dialog, "Error", msg % data.dtype.name)
                 return
         assert data.ndim == 2
         self.test_array = np.array([0], dtype=data.dtype)
@@ -1383,8 +1379,6 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
                 filters_layout.addWidget(self.create_filter_combo(axis))
             filters_layout.addStretch()
         self.filtered_data = self.la_data
-        if data.size == 0:
-            QMessageBox.critical(self, _("Error"), _("Array is empty"))
 
             # if xlabels is not None and len(xlabels) != self.data.shape[1]:
             #     self.error(_("The 'xlabels' argument length do no match "
@@ -1394,11 +1388,9 @@ def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
             #     self.error(_("The 'ylabels' argument length do no match "
             #                  "array row number"))
             #     return False
-        self._set_raw_data(data, xlabels, ylabels,
-                           bg_gradient=bg_gradient, bg_value=bg_value)
+        self._set_raw_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
 
-    def _set_raw_data(self, data, xlabels, ylabels, changes=None,
-                      bg_gradient=None, bg_value=None):
+    def _set_raw_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
         size = data.size
         # this will yield a data sample of max 199
         step = (size // 100) if size > 100 else 1
@@ -1415,8 +1407,7 @@ def _set_raw_data(self, data, xlabels, ylabels, changes=None,
         self.model.set_format(self.cell_format)
         if changes is None:
             changes = {}
-        self.model.set_data(data, xlabels, ylabels, changes,
-                            bg_gradient=bg_gradient, bg_value=bg_value)
+        self.model.set_data(data, xlabels, ylabels, changes, bg_gradient=bg_gradient, bg_value=bg_value)
 
         self.digits_spinbox.setValue(self.digits)
         self.digits_spinbox.setEnabled(is_number(data.dtype))
@@ -1883,10 +1874,8 @@ def setup_and_check(self, data, title='', readonly=False,
         self.resize(800, 600)
         self.setMinimumSize(400, 300)
 
-        self.arraywidget = ArrayEditorWidget(self, data, readonly,
-                                             xlabels, ylabels,
-                                             minvalue=minvalue,
-                                             maxvalue=maxvalue)
+        self.arraywidget = ArrayEditorWidget(self, data, readonly, xlabels, ylabels,
+                                             minvalue=minvalue, maxvalue=maxvalue)
         layout.addWidget(self.arraywidget, 1, 0)
 
         # Buttons configuration
@@ -1950,10 +1939,20 @@ def get_value(self):
 DISPLAY_IN_GRID = (la.LArray, np.ndarray)
 
 
-class MappingEditor(QDialog):
+class MappingEditor(QMainWindow):
     """Session Editor Dialog"""
+
+    MAX_RECENT_FILES = 10
+
     def __init__(self, parent=None):
-        QDialog.__init__(self, parent)
+        QMainWindow.__init__(self, parent)
+
+        # to handle rencently opened files
+        settings = QSettings()
+        if settings.value("recentFileList") is None:
+            settings.setValue("recentFileList", [])
+        self.recentFileActs = [QAction(self) for _ in range(self.MAX_RECENT_FILES)]
+        self.currentFile = None
 
         # Destroying the C++ object right after closing the dialog box,
         # otherwise it may be garbage-collected in another QThread
@@ -1962,18 +1961,22 @@ def __init__(self, parent=None):
         self.setAttribute(Qt.WA_DeleteOnClose)
 
         self.data = None
-        self._listwidget = None
         self.arraywidget = None
+        self._listwidget = None
         self.eval_box = None
         self.expressions = {}
         self.kernel = None
+        self._appliedchanges = False
 
-    def setup_and_check(self, data, title='', readonly=False,
-                        minvalue=None, maxvalue=None):
+        self.setup_menu_bar()
+
+    def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalue=None):
         """
         Setup MappingEditor:
         return False if data is not supported, True otherwise
         """
+        if not isinstance(data, la.Session):
+            data = la.Session(data)
         self.data = data
 
         icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
@@ -1986,8 +1989,13 @@ def setup_and_check(self, data, title='', readonly=False,
             title += ' (' + _('read only') + ')'
         self.setWindowTitle(title)
 
+        self.statusBar().showMessage("Welcome to the LArray Viewer", 4000)
+
+        widget = QWidget()
+        self.setCentralWidget(widget)
+
         layout = QVBoxLayout()
-        self.setLayout(layout)
+        widget.setLayout(layout)
 
         self._listwidget = QListWidget(self)
         arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
@@ -2080,22 +2088,6 @@ def void_formatter(array, *args, **kwargs):
 
         layout.addWidget(main_splitter)
 
-        # the problem is that the qlineedit (when ipython not present) does
-        # not eat the enter key, so it gets handled by the buttons below
-        # and this closes the window.
-        # FIXME: not having the buttons is a bit radical but I am out of time
-        #        for this.
-        if qtconsole_available:
-            # Buttons configuration
-            btn_layout = QHBoxLayout()
-            btn_layout.addStretch()
-
-            buttons = QDialogButtonBox.Close
-            bbox = QDialogButtonBox(buttons)
-            bbox.rejected.connect(self.reject)
-            btn_layout.addWidget(bbox)
-            layout.addLayout(btn_layout)
-
         self._listwidget.setCurrentRow(0)
 
         self.resize(800, 600)
@@ -2105,13 +2097,65 @@ def void_formatter(array, *args, **kwargs):
         self.setWindowFlags(Qt.Window)
         return True
 
+    def setup_menu_bar(self):
+        """Setup menu bar"""
+        menu_bar = self.menuBar()
+        file_menu = menu_bar.addMenu('File')
+
+        file_menu.addAction(create_action(self, _('New'), shortcut=QKeySequence("Ctrl+N"), triggered=self.new))
+        file_menu.addAction(create_action(self, _('Open'), shortcut=QKeySequence("Ctrl+O"), triggered=self.open,
+                                          statustip=_('Load session from file')))
+        file_menu.addAction(create_action(self, _('Save'), shortcut=QKeySequence("Ctrl+S"), triggered=self.save,
+                                          statustip=_('Save all arrays as a session in a file')))
+        file_menu.addAction(create_action(self, _('Save As'), triggered=self.saveAs,
+                                          statustip=_('Save all arrays as a session in a file')))
+
+        recentFilesMenu = file_menu.addMenu("Open Recent")
+        for action in self.recentFileActs:
+            action.setVisible(False)
+            action.triggered.connect(self.openRecentFile)
+            recentFilesMenu.addAction(action)
+        self.updateRecentFileActions()
+
+        file_menu.addSeparator()
+        file_menu.addAction(create_action(self, _('Quit'), shortcut=QKeySequence("Ctrl+Q"),
+                                          triggered=self.close))
+
+        help_menu = menu_bar.addMenu('Help')
+        help_menu.addAction(create_action(self, _('online documentation'), shortcut=QKeySequence("Ctrl+H"),
+                                          triggered=self.openDocumentation))
+
+    def add_list_item(self, name):
+        listitem = QListWidgetItem(self._listwidget)
+        listitem.setText(name)
+        value = self.data[name]
+        if isinstance(value, la.LArray):
+            listitem.setToolTip(str(value.info))
+
     def add_list_items(self, names):
         for name in names:
-            listitem = QListWidgetItem(self._listwidget)
-            listitem.setText(name)
-            value = self.data[name]
-            if isinstance(value, la.LArray):
-                listitem.setToolTip(str(value.info))
+            self.add_list_item(name)
+
+    def delete_list_item(self, to_delete):
+        deleted_items = self._listwidget.findItems(to_delete, Qt.MatchExactly)
+        assert len(deleted_items) == 1
+        deleted_item_idx = self._listwidget.row(deleted_items[0])
+        self._listwidget.takeItem(deleted_item_idx)
+
+    def select_list_item(self, to_display):
+        changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
+        assert len(changed_items) == 1
+        prev_selected = self._listwidget.selectedItems()
+        assert len(prev_selected) <= 1
+        # if the currently selected item (value) need to be refreshed (e.g it was modified)
+        if prev_selected and prev_selected[0] == changed_items[0]:
+            # we need to update the array widget explicitly
+            self.set_widget_array(self.data[to_display], to_display)
+        else:
+            # for some reason, on_item_changed is not triggered when no item was selected
+            if not prev_selected:
+                self.set_widget_array(self.data[to_display], to_display)
+            self._listwidget.setCurrentItem(changed_items[0])
 
     def update_mapping(self, value):
         # XXX: use ordered set so that the order is non-random if the underlying container is ordered?
@@ -2147,33 +2191,12 @@ def update_mapping(self, value):
             self.select_list_item(to_display)
         return to_display
 
-    def delete_list_item(self, to_delete):
-        deleted_items = self._listwidget.findItems(to_delete, Qt.MatchExactly)
-        assert len(deleted_items) == 1
-        deleted_item_idx = self._listwidget.row(deleted_items[0])
-        self._listwidget.takeItem(deleted_item_idx)
-
     @Slot()
     def _delete_current_item(self):
         current_item = self._listwidget.currentItem()
         del self.data[str(current_item.text())]
         self._listwidget.takeItem(self._listwidget.row(current_item))
 
-    def select_list_item(self, to_display):
-        changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
-        assert len(changed_items) == 1
-        prev_selected = self._listwidget.selectedItems()
-        assert len(prev_selected) <= 1
-        # if the currently selected item (value) need to be refreshed (e.g it was modified)
-        if prev_selected and prev_selected[0] == changed_items[0]:
-            # we need to update the array widget explicitly
-            self.set_widget_array(self.data[to_display], to_display)
-        else:
-            # for some reason, on_item_changed is not triggered when no item was selected
-            if not prev_selected:
-                self.set_widget_array(self.data[to_display], to_display)
-            self._listwidget.setCurrentItem(changed_items[0])
-
     def line_edit_update(self):
         s = self.eval_box.text()
         if assignment_pattern.match(s):
@@ -2239,18 +2262,19 @@ def ipython_cell_executed(self):
                         main.show()
 
     def on_item_changed(self, curr, prev):
-        name = str(curr.text())
-        array = self.data[name]
-        self.set_widget_array(array, name)
-        expr = self.expressions.get(name, name)
-        if qtconsole_available:
-            # this does not work because it updates the NEXT input, not the
-            # current one (it is supposed to be called from within the console)
-            # self.kernel.shell.set_next_input(expr, replace=True)
-            # self.kernel_client.input(expr)
-            pass
-        else:
-            self.eval_box.setText(expr)
+        if curr is not None:
+            name = str(curr.text())
+            array = self.data[name]
+            self.set_widget_array(array, name)
+            expr = self.expressions.get(name, name)
+            if qtconsole_available:
+                # this does not work because it updates the NEXT input, not the
+                # current one (it is supposed to be called from within the console)
+                # self.kernel.shell.set_next_input(expr, replace=True)
+                # self.kernel_client.input(expr)
+                pass
+            else:
+                self.eval_box.setText(expr)
 
     def set_widget_array(self, array, title):
         if isinstance(array, la.LArray):
@@ -2262,22 +2286,146 @@ def set_widget_array(self, array, title):
         self.setWindowTitle(title)
         self.arraywidget.set_data(array)
 
+    def _add_arrays(self, arrays):
+        for k, v in arrays.items():
+            self.data[k] = v
+            self.add_list_item(k)
+
+    def _clear_arrays(self):
+        arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
+        for name in arrays:
+            del self.data[name]
+            self.delete_list_item(name)
+
+    def _isDataModified(self):
+        if self.arraywidget.model.readonly:
+            return False
+        else:
+            return len(self.arraywidget.model.changes) > 0 or self._appliedchanges
+
+    def _askToSaveIfDataModified(self):
+        if self._isDataModified():
+            ret = QMessageBox.warning(self, "Warning", "The data has been modified.\nDo you want to save your changes?",
+                                      QMessageBox.Save | QMessageBox.Discard | QMessageBox.Cancel)
+            if ret == QMessageBox.Save:
+                self.apply_changes()
+                return self.save()
+            elif ret == QMessageBox.Cancel:
+                return False
+            else:
+                return True
+        else:
+            return True
+
+    @Slot()
+    def new(self):
+        if self._askToSaveIfDataModified():
+            self._clear_arrays()
+            self.arraywidget.set_data(la.zeros(0))
+            self.setCurrentFile(None)
+            self.statusBar().showMessage("Viewer has been reset", 4000)
+
+    def _openFile(self, filepath):
+        # XXX : clear console history ?
+        self._clear_arrays()
+        session = la.Session(filepath)
+        self._add_arrays(session)
+        self._listwidget.setCurrentRow(0)
+        self.setCurrentFile(filepath)
+        self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
+
+    @Slot()
+    def open(self):
+        if self._askToSaveIfDataModified():
+            # Qt5 returns a tuple (filepath, '') instead of a string
+            if PYQT5:
+                filepath, _ = QFileDialog.getOpenFileName(self)
+            else:
+                filepath = QFileDialog.getOpenFileName(self)
+            if isinstance(filepath, str):
+                self._openFile(filepath)
+            else:
+                QMessageBox.warning(self, "Warning", "No file selected")
+
+    @Slot()
+    def openRecentFile(self):
+        if self._askToSaveIfDataModified():
+            action = self.sender()
+            if action:
+                filepath = action.data()
+                self._openFile(filepath)
+
+    def _saveData(self, filepath):
+        session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})
+        session.dump(filepath)
+        self.setCurrentFile(filepath)
+        self._appliedchanges = False
+        self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
+
+    @Slot()
+    def save(self):
+        if self.currentFile is not None:
+            self._saveData(self.currentFile)
+        else:
+            self.saveAs()
+        return True
+
+    @Slot()
+    def saveAs(self):
+        dialog = QFileDialog(self)
+        dialog.setWindowModality(Qt.WindowModal)
+        dialog.setAcceptMode(QFileDialog.AcceptSave)
+        if dialog.exec_() != QDialog.Accepted:
+            QMessageBox.critical(self, "Error", "Current session could not be saved")
+            return False
+        else:
+            self._saveData(dialog.selectedFiles()[0])
+            return True
+
+    @Slot()
+    def openDocumentation(self):
+        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
+
+    def setCurrentFile(self, filepath):
+        self.currentFile = filepath
+        if filepath is not None:
+            settings = QSettings()
+            files = settings.value("recentFileList")
+            if filepath in files:
+                files.remove(filepath)
+            files = [filepath] + files[:self.MAX_RECENT_FILES-1]
+            settings.setValue("recentFileList", files)
+        self.updateRecentFileActions()
+
+    def updateRecentFileActions(self):
+        settings = QSettings()
+        files = settings.value("recentFileList")
+        numRecentFiles = min(len(files), self.MAX_RECENT_FILES)
+
+        for i in range(numRecentFiles):
+            filepath = files[i]
+            text = os.path.basename(filepath)
+            self.recentFileActs[i].setText(text)
+            self.recentFileActs[i].setData(filepath)
+            self.recentFileActs[i].setVisible(True)
+        for i in range(numRecentFiles, self.MAX_RECENT_FILES):
+            self.recentFileActs[i].setVisible(False)
+
+    def closeEvent(self, event):
+        if self._askToSaveIfDataModified():
+            event.accept()
+        else:
+            event.ignore()
+
     def apply_changes(self):
+        # update _unsavedmodifications only if 1 or more changes have been applied
+        if len(self.arraywidget.model.changes) > 0:
+            self._appliedchanges = True
         self.arraywidget.accept_changes()
 
     def discard_changes(self):
         self.arraywidget.reject_changes()
 
-    def accept(self):
-        """Reimplement Qt method"""
-        self.apply_changes()
-        QDialog.accept(self)
-
-    def reject(self):
-        """Reimplement Qt method"""
-        self.discard_changes()
-        QDialog.reject(self)
-
     def get_value(self):
         """Return modified array -- this is *not* a copy"""
         # It is import to avoid accessing Qt C++ object as it has probably
@@ -2609,6 +2757,8 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     if _app is None:
         install_except_hook()
         _app = qapplication()
+        _app.setOrganizationName("LArray")
+        _app.setApplicationName("Viewer")
         parent = None
     else:
         parent = _app.activeWindow()
@@ -2618,7 +2768,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
         obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
 
     if isinstance(obj, str):
-        if os.path.isfile(obj):
+        if os.path.exists(obj):
             obj = la.Session(obj)
         else:
             raise ValueError("file {} not found".format(obj))
@@ -2635,6 +2785,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     if parent is None:
         restore_except_hook()
 
+    _app.exec_()
 
 def view(obj=None, title='', depth=0):
     """
@@ -2798,9 +2949,19 @@ def restore_display_hook():
     edit()
 
     # s = la.local_arrays()
-    # edit(s)
+    # view(s)
+    # print('HDF')
     # s.dump('x.h5')
-    # view(la.Session('x.h5'))
+    # print('\nEXCEL')
+    # s.dump('x.xlsx')
+    # print('\nCSV')
+    # s.dump_csv('x_csv')
+    # print('\n open HDF')
+    # edit('x.h5')
+    # print('\n open EXCEL')
+    # edit('x.xlsx')
+    # print('\n open CSV')
+    # edit('x_csv')
 
     # compare(arr3, arr4, arr5, arr6)
 

From 7936c7e2b9a36d963d888087ad4ce6a71dfa9d53 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 09:35:57 +0200
Subject: [PATCH 487/899] (viewer) updated MappingEditor.openRecentFile() -->
 must return a warning message when a file no longer exists.

---
 larray/viewer.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index fde00eaba..edc0a2be6 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2353,7 +2353,10 @@ def openRecentFile(self):
             action = self.sender()
             if action:
                 filepath = action.data()
-                self._openFile(filepath)
+                if os.path.isfile(filepath):
+                    self._openFile(filepath)
+                else:
+                    QMessageBox.warning(self, "Warning", "File not found")
 
     def _saveData(self, filepath):
         session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})

From 9a36b228b98113430028bf2d069edd9ee6e498a3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 12 Apr 2017 09:52:36 +0200
Subject: [PATCH 488/899] fix #229 : (excel - Workbook) a new sheet is added
 after the other ones instead of before

fix #230 : (excel - Workbook) first default sheet (Sheet1) is replaced when a new
sheet is added for the first time to a new Workbook

+new unit test test_xlsx_xlwings_io
---
 larray/core.py               |  2 +-
 larray/excel.py              | 17 +++++++++++++----
 larray/session.py            | 17 ++++++++++-------
 larray/tests/test_session.py | 34 +++++++++++++++++++++++++---------
 larray/viewer.py             |  6 +++---
 5 files changed, 52 insertions(+), 24 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 53dc27fc0..c763a27e7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -8994,7 +8994,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             'xlwings' by default if the module is installed and relies on
             Pandas default writer otherwise.
         *args
-        **kargs
+        **kwargs
 
         Examples
         --------
diff --git a/larray/excel.py b/larray/excel.py
index 2cfabf47b..7034f2b80 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -34,8 +34,7 @@ def write_value(cls, value, options):
 
 
     class Workbook(object):
-        def __init__(self, filepath=None, overwrite_file=False, visible=None,
-                     silent=None, app=None):
+        def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
             """
             open an Excel workbook
 
@@ -61,6 +60,11 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None,
             """
             xw_wkb = None
             self.delayed_filepath = None
+            self.new_workbook = False
+
+            if filepath is None:
+                self.new_workbook = True
+
             if isinstance(filepath, str):
                 basename, ext = os.path.splitext(filepath)
                 if ext:
@@ -72,6 +76,8 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None,
                                          "extension" % ext)
                     if os.path.isfile(filepath) and overwrite_file:
                         os.remove(filepath)
+                    if not os.path.isfile(filepath):
+                        self.new_workbook = True
                 else:
                     # try to target an open but unsaved workbook
                     # we cant use the same code path as for other option
@@ -149,6 +155,9 @@ def __getitem__(self, key):
             return Sheet(self, key)
 
         def __setitem__(self, key, value):
+            if self.new_workbook:
+                self.xw_wkb.sheets[0].name = key
+                self.new_workbook = False
             if isinstance(value, Sheet):
                 if key in self:
                     xw_sheet = self[key].xw_sheet
@@ -158,14 +167,14 @@ def __setitem__(self, key, value):
                     value.xw_sheet.api.Copy(xw_sheet.api)
                     xw_sheet.delete()
                 else:
-                    xw_sheet = self[-1]
+                    xw_sheet = self[-1].xw_sheet
                     value.xw_sheet.api.Copy(xw_sheet.api)
                 return
             if key in self:
                 sheet = self[key]
                 sheet.clear()
             else:
-                xw_sheet = self.xw_wkb.sheets.add(key)
+                xw_sheet = self.xw_wkb.sheets.add(key, after=self[-1].xw_sheet)
                 sheet = Sheet(None, None, xw_sheet=xw_sheet)
             sheet["A1"] = value
 
diff --git a/larray/session.py b/larray/session.py
index 0a3199d2e..a1d753578 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -84,7 +84,7 @@ def read_arrays(self, keys, *args, **kwargs):
         """
         display = kwargs.pop('display', False)
         self._open_for_read()
-        res = {}
+        res = OrderedDict()
         if keys is None:
             keys = self.list()
         for key in keys:
@@ -209,17 +209,15 @@ def _open_for_write(self):
 
     def list(self):
         # strip extension from files
-        # FIXME: only take .csv files
         # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
-        return [os.path.splitext(fname)[0] for fname in os.listdir(self.fname)]
+        return [os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname]
 
     def _read_array(self, key, *args, **kwargs):
         fpath = os.path.join(self.fname, '{}.csv'.format(key))
         return read_csv(fpath, *args, **kwargs)
 
     def _dump(self, key, value, *args, **kwargs):
-        value.to_csv(os.path.join(self.fname, '{}.csv'.format(key)), *args,
-                     **kwargs)
+        value.to_csv(os.path.join(self.fname, '{}.csv'.format(key)), *args, **kwargs)
 
     def close(self):
         pass
@@ -333,6 +331,9 @@ def __setitem__(self, key, value):
     def _ipython_key_completions_(self):
         return list(self.keys())
 
+    def __delitem__(self, key):
+        del self._objects[key]
+
     def __getattr__(self, key):
         if key in self._objects:
             return self._objects[key]
@@ -368,7 +369,8 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         # TODO: support path + *.csv
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
-            engine = ext_default_engine[ext.strip('.')]
+            ext = ext.strip('.') if '.' in ext else 'csv'
+            engine = ext_default_engine[ext]
         handler_cls = handler_classes[engine]
         handler = handler_cls(fname)
         arrays = handler.read_arrays(names, display=display, **kwargs)
@@ -395,7 +397,8 @@ def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
-            engine = ext_default_engine[ext.strip('.')]
+            ext = ext.strip('.') if '.' in ext else 'csv'
+            engine = ext_default_engine[ext]
         handler_cls = handler_classes[engine]
         handler = handler_cls(fname)
         filtered = self.filter(kind=LArray)
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 6a703c9c9..21dd49454 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -8,6 +8,11 @@
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.tests.test_la import assert_array_nan_equal, abspath
 
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
+
 
 def equal(o1, o2):
     if isinstance(o1, LArray) or isinstance(o2, LArray):
@@ -137,22 +142,33 @@ def test_h5_io(self):
         s.load(fpath, ['e', 'f'])
         self.assertEqual(s.names, ['e', 'f'])
 
-    def test_xlsx_io(self):
-        self.session.dump(abspath('test_session.xlsx'), engine='pandas_excel')
-        self.session.dump(abspath('test_session_ef.xlsx'), ['e', 'f'], engine='pandas_excel')
-        # dump_excel uses default engine (xlwings) which is not available on
-        # travis
-        # self.session.dump_excel('test_session2.xlsx')
+    def test_xlsx_pandas_io(self):
+        self.session.save(abspath('test_session.xlsx'), engine='pandas_excel')
+
+        fpath = abspath('test_session_ef.xlsx')
+        self.session.save(fpath, ['e', 'f'], engine='pandas_excel')
+
+        s = Session()
+        s.load(fpath, engine='pandas_excel')
+        self.assertEqual(s.names, ['e', 'f'])
+
+    @unittest.skipIf(xw is None, "xlwings is not available")
+    def test_xlsx_xlwings_io(self):
+        self.session.save(abspath('test_session_xw.xlsx'), engine='xlwings_excel')
+
+        fpath = abspath('test_session_ef_xw.xlsx')
+        self.session.save(fpath, ['e', 'f'], engine='xlwings_excel')
 
         s = Session()
-        s.load(abspath('test_session_ef.xlsx'), engine='pandas_excel')
+        s.load(fpath, engine='xlwings_excel')
         self.assertEqual(s.names, ['e', 'f'])
 
     def test_csv_io(self):
-        self.session.dump_csv(abspath('test_session_csv'))
+        fpath = abspath('test_session_csv')
+        self.session.to_csv(fpath)
 
         s = Session()
-        s.load(abspath('test_session_csv'), engine='pandas_csv')
+        s.load(fpath, engine='pandas_csv')
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
     def test_eq(self):
diff --git a/larray/viewer.py b/larray/viewer.py
index edc0a2be6..5185b56f9 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2954,11 +2954,11 @@ def restore_display_hook():
     # s = la.local_arrays()
     # view(s)
     # print('HDF')
-    # s.dump('x.h5')
+    # s.save('x.h5')
     # print('\nEXCEL')
-    # s.dump('x.xlsx')
+    # s.save('x.xlsx')
     # print('\nCSV')
-    # s.dump_csv('x_csv')
+    # s.save('x_csv')
     # print('\n open HDF')
     # edit('x.h5')
     # print('\n open EXCEL')

From cce24782ca9037ab3e90c51683c9e290627c0782 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 09:41:22 +0200
Subject: [PATCH 489/899] fix #217 : replaced Session.dump, dump_hdf,
 dump_excel and dump_csv by Session.save, to_hdf, to_excel, to_csv

---
 larray/session.py            | 14 +++++++-------
 larray/tests/test_session.py |  2 +-
 larray/viewer.py             |  2 +-
 3 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index a1d753578..f5d37f3ff 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -377,7 +377,7 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         for k, v in arrays.items():
             self[k] = v
 
-    def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
+    def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         Dumps all array objects from the current session to a file.
 
@@ -409,7 +409,7 @@ def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
             arrays = [(k, v) for k, v in arrays if k in names_set]
         handler.dump_arrays(arrays, display=display, **kwargs)
 
-    def dump_hdf(self, fname, names=None, *args, **kwargs):
+    def to_hdf(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to an HDF file.
 
@@ -421,9 +421,9 @@ def dump_hdf(self, fname, names=None, *args, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         """
-        self.dump(fname, names, ext_default_engine['hdf'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
-    def dump_excel(self, fname, names=None, *args, **kwargs):
+    def to_excel(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to an Excel file.
 
@@ -435,9 +435,9 @@ def dump_excel(self, fname, names=None, *args, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         """
-        self.dump(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
-    def dump_csv(self, fname, names=None, *args, **kwargs):
+    def to_csv(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to a CSV file.
 
@@ -449,7 +449,7 @@ def dump_csv(self, fname, names=None, *args, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         """
-        self.dump(fname, names, ext_default_engine['csv'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):
         """
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 21dd49454..39e0592fa 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -133,7 +133,7 @@ def test_names(self):
     def test_h5_io(self):
         fpath = abspath('test_session.h5')
 
-        self.session.dump(fpath)
+        self.session.save(fpath)
         s = Session()
         s.load(fpath)
         self.assertEqual(s.names, ['e', 'f', 'g'])
diff --git a/larray/viewer.py b/larray/viewer.py
index 5185b56f9..9cd7ac3c4 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2360,7 +2360,7 @@ def openRecentFile(self):
 
     def _saveData(self, filepath):
         session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})
-        session.dump(filepath)
+        session.save(filepath)
         self.setCurrentFile(filepath)
         self._appliedchanges = False
         self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)

From 14fd2653f68ee1c134299e62f421b1af753404b6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 10:37:46 +0200
Subject: [PATCH 490/899] updated changelog (0.22)

---
 doc/source/changes/version_0_22.rst.inc | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 65663682c..dba8e40ae 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -127,6 +127,11 @@
 
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
+* viewer: added a menu bar 'File' with options 'New', 'Open', 'Save', 'SaveAs', 'Open Recent' and 'Quit'.
+  (closes :issue:`88`)
+
+* renamed dump, dump_hdf, dump_excel and dump_csv methods of class Session as save, to_hdf, to_excel and to_csv
+  (closes :issue:`217`)
 
 .. _misc:
 
@@ -191,6 +196,8 @@ Miscellaneous improvements
   will autocomplete to `s.a_nice_test_array` and `s['a_<tab>` will be completed to `s['a_nice_test_array`
 
 
+* implemented special method __delitem__ in class Session.
+
 Fixes
 -----
 
@@ -208,3 +215,16 @@ Fixes
 
 * fixed array creation functions not raising an exception when called with wrong syntax func(axis1, axis2, ...)
   instead of func([axis1, axis2, ...]) (closes :issue:`203`).
+
+* fixed adding new sheets in a workbook: a new sheet is appended instead of prepended (closes :issue:`229`).
+
+* fixed __setitem__ of Workbook when value is an instance of `Sheet` and key is new.
+
+* fixed Workbook behavior in case of new workbook: the first added sheet replaces the default sheet `Sheet1`
+  (closes :issue:`230`).
+
+* fixed load session: read arrays in the same order as they are stored.
+
+* fixed list() method of PandasCSVHandler: returns only files with extension '.csv'
+
+

From d5278703d1fbb6e99fb4d0a1f385ace3928f951b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 12:27:45 +0200
Subject: [PATCH 491/899] (viewer) : bug fix --> MappingEditor inherits from
 QMainWindow and does not have any exec_() method.

---
 larray/viewer.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9cd7ac3c4..4cbc25f8b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2781,7 +2781,7 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
 
     dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
     if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
-        if parent:
+        if parent or isinstance(dlg, MappingEditor):
             dlg.show()
         else:
             dlg.exec_()

From e3769c6216472705cd9633cdc3af6bf1f49895b7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 13:06:51 +0200
Subject: [PATCH 492/899] (viewer) : bug fix --> update _unsaved_modifications
 if arrays have been added or deleted (not only modified).

---
 larray/viewer.py | 15 ++++++++++-----
 1 file changed, 10 insertions(+), 5 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4cbc25f8b..8dddddc05 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1966,7 +1966,7 @@ def __init__(self, parent=None):
         self.eval_box = None
         self.expressions = {}
         self.kernel = None
-        self._appliedchanges = False
+        self._unsaved_modifications = False
 
         self.setup_menu_bar()
 
@@ -2182,6 +2182,9 @@ def update_mapping(self, value):
 
         self.add_list_items(displayed_keys_after - displayed_keys_before)
 
+        if len(displayed_keys_after - displayed_keys_before) > 0:
+            self._unsaved_modifications = True
+
         # this can contain more keys than displayed_keys_after - displayed_keys_before (because of existing keys
         # which changed value)
         displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
@@ -2301,7 +2304,7 @@ def _isDataModified(self):
         if self.arraywidget.model.readonly:
             return False
         else:
-            return len(self.arraywidget.model.changes) > 0 or self._appliedchanges
+            return len(self.arraywidget.model.changes) > 0 or self._unsaved_modifications
 
     def _askToSaveIfDataModified(self):
         if self._isDataModified():
@@ -2323,6 +2326,7 @@ def new(self):
             self._clear_arrays()
             self.arraywidget.set_data(la.zeros(0))
             self.setCurrentFile(None)
+            self._unsaved_modifications = False
             self.statusBar().showMessage("Viewer has been reset", 4000)
 
     def _openFile(self, filepath):
@@ -2332,6 +2336,7 @@ def _openFile(self, filepath):
         self._add_arrays(session)
         self._listwidget.setCurrentRow(0)
         self.setCurrentFile(filepath)
+        self._unsaved_modifications = False
         self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
 
     @Slot()
@@ -2362,7 +2367,7 @@ def _saveData(self, filepath):
         session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})
         session.save(filepath)
         self.setCurrentFile(filepath)
-        self._appliedchanges = False
+        self._unsaved_modifications = False
         self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
 
     @Slot()
@@ -2421,9 +2426,9 @@ def closeEvent(self, event):
             event.ignore()
 
     def apply_changes(self):
-        # update _unsavedmodifications only if 1 or more changes have been applied
+        # update _unsaved_modifications only if 1 or more changes have been applied
         if len(self.arraywidget.model.changes) > 0:
-            self._appliedchanges = True
+            self._unsaved_modifications = True
         self.arraywidget.accept_changes()
 
     def discard_changes(self):

From 69b2c5e18822c9382927b1a303ea6187b96f8c63 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 27 Apr 2017 14:21:07 +0200
Subject: [PATCH 493/899] changelog (0.22) : added warning for log concerning
 the menu bar.

---
 doc/source/changes/version_0_22.rst.inc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index dba8e40ae..adcde4f2a 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -128,6 +128,9 @@
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
 * viewer: added a menu bar 'File' with options 'New', 'Open', 'Save', 'SaveAs', 'Open Recent' and 'Quit'.
+
+  WARNING: Only LArray objects are saved.
+
   (closes :issue:`88`)
 
 * renamed dump, dump_hdf, dump_excel and dump_csv methods of class Session as save, to_hdf, to_excel and to_csv

From 6118ff922694de8bfef28b21833cd066f71e38c6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 09:19:52 +0200
Subject: [PATCH 494/899] set methods Session.dump, dump_hdf, dump_excel and
 dump_csv as deprecated (print a warning and call new equivalent method if
 used)

---
 larray/session.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/larray/session.py b/larray/session.py
index f5d37f3ff..1ac7c7352 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -2,6 +2,7 @@
 
 import os
 import sys
+import warnings
 from collections import OrderedDict
 
 import numpy as np
@@ -409,6 +410,10 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
             arrays = [(k, v) for k, v in arrays if k in names_set]
         handler.dump_arrays(arrays, display=display, **kwargs)
 
+    def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
+        warnings.warn("Method dump is deprecated. Use method save instead.", stacklevel=2)
+        self.save(fname, names, engine, display, **kwargs)
+
     def to_hdf(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to an HDF file.
@@ -423,6 +428,10 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
         """
         self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
+    def dump_hdf(self, fname, names=None, *args, **kwargs):
+        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", stacklevel=2)
+        self.to_hdf(fname, names, *args, **kwargs)
+
     def to_excel(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to an Excel file.
@@ -437,6 +446,10 @@ def to_excel(self, fname, names=None, *args, **kwargs):
         """
         self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
+    def dump_excel(self, fname, names=None, *args, **kwargs):
+        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", stacklevel=2)
+        self.to_excel(fname, names, *args, **kwargs)
+
     def to_csv(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to a CSV file.
@@ -451,6 +464,10 @@ def to_csv(self, fname, names=None, *args, **kwargs):
         """
         self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
+    def dump_csv(self, fname, names=None, *args, **kwargs):
+        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", stacklevel=2)
+        self.to_csv(fname, names, *args, **kwargs)
+
     def filter(self, pattern=None, kind=None):
         """
         Returns a new session with array objects which match some criteria.

From cb732095a08b6b0be10f968c95fbf2dbed73ec2d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 09:28:10 +0200
Subject: [PATCH 495/899] renamed methods in MappingEditor class

---
 larray/viewer.py | 58 ++++++++++++++++++++++++------------------------
 1 file changed, 29 insertions(+), 29 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 8dddddc05..5af2cd198 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2004,7 +2004,7 @@ def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalu
         self._listwidget.setMinimumWidth(45)
 
         del_item_shortcut = QShortcut(QKeySequence(Qt.Key_Delete), self._listwidget)
-        del_item_shortcut.activated.connect(self._delete_current_item)
+        del_item_shortcut.activated.connect(self.delete_current_item)
 
         start_array = la.zeros(1) if arrays else la.zeros(0)
         self.arraywidget = ArrayEditorWidget(self, start_array, readonly)
@@ -2107,15 +2107,15 @@ def setup_menu_bar(self):
                                           statustip=_('Load session from file')))
         file_menu.addAction(create_action(self, _('Save'), shortcut=QKeySequence("Ctrl+S"), triggered=self.save,
                                           statustip=_('Save all arrays as a session in a file')))
-        file_menu.addAction(create_action(self, _('Save As'), triggered=self.saveAs,
+        file_menu.addAction(create_action(self, _('Save As'), triggered=self.save_as,
                                           statustip=_('Save all arrays as a session in a file')))
 
         recentFilesMenu = file_menu.addMenu("Open Recent")
         for action in self.recentFileActs:
             action.setVisible(False)
-            action.triggered.connect(self.openRecentFile)
+            action.triggered.connect(self.open_recent_file)
             recentFilesMenu.addAction(action)
-        self.updateRecentFileActions()
+        self.update_recent_file_actions()
 
         file_menu.addSeparator()
         file_menu.addAction(create_action(self, _('Quit'), shortcut=QKeySequence("Ctrl+Q"),
@@ -2123,7 +2123,7 @@ def setup_menu_bar(self):
 
         help_menu = menu_bar.addMenu('Help')
         help_menu.addAction(create_action(self, _('online documentation'), shortcut=QKeySequence("Ctrl+H"),
-                                          triggered=self.openDocumentation))
+                                          triggered=self.open_documentation))
 
     def add_list_item(self, name):
         listitem = QListWidgetItem(self._listwidget)
@@ -2195,7 +2195,7 @@ def update_mapping(self, value):
         return to_display
 
     @Slot()
-    def _delete_current_item(self):
+    def delete_current_item(self):
         current_item = self._listwidget.currentItem()
         del self.data[str(current_item.text())]
         self._listwidget.takeItem(self._listwidget.row(current_item))
@@ -2300,14 +2300,14 @@ def _clear_arrays(self):
             del self.data[name]
             self.delete_list_item(name)
 
-    def _isDataModified(self):
+    def _is_unsaved_modifications(self):
         if self.arraywidget.model.readonly:
             return False
         else:
             return len(self.arraywidget.model.changes) > 0 or self._unsaved_modifications
 
-    def _askToSaveIfDataModified(self):
-        if self._isDataModified():
+    def _ask_to_save_if_unsaved_modifications(self):
+        if self._is_unsaved_modifications():
             ret = QMessageBox.warning(self, "Warning", "The data has been modified.\nDo you want to save your changes?",
                                       QMessageBox.Save | QMessageBox.Discard | QMessageBox.Cancel)
             if ret == QMessageBox.Save:
@@ -2322,64 +2322,64 @@ def _askToSaveIfDataModified(self):
 
     @Slot()
     def new(self):
-        if self._askToSaveIfDataModified():
+        if self._ask_to_save_if_unsaved_modifications():
             self._clear_arrays()
             self.arraywidget.set_data(la.zeros(0))
-            self.setCurrentFile(None)
+            self.set_current_file(None)
             self._unsaved_modifications = False
             self.statusBar().showMessage("Viewer has been reset", 4000)
 
-    def _openFile(self, filepath):
+    def _open_file(self, filepath):
         # XXX : clear console history ?
         self._clear_arrays()
         session = la.Session(filepath)
         self._add_arrays(session)
         self._listwidget.setCurrentRow(0)
-        self.setCurrentFile(filepath)
+        self.set_current_file(filepath)
         self._unsaved_modifications = False
         self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
 
     @Slot()
     def open(self):
-        if self._askToSaveIfDataModified():
+        if self._ask_to_save_if_unsaved_modifications():
             # Qt5 returns a tuple (filepath, '') instead of a string
             if PYQT5:
                 filepath, _ = QFileDialog.getOpenFileName(self)
             else:
                 filepath = QFileDialog.getOpenFileName(self)
             if isinstance(filepath, str):
-                self._openFile(filepath)
+                self._open_file(filepath)
             else:
                 QMessageBox.warning(self, "Warning", "No file selected")
 
     @Slot()
-    def openRecentFile(self):
-        if self._askToSaveIfDataModified():
+    def open_recent_file(self):
+        if self._ask_to_save_if_unsaved_modifications():
             action = self.sender()
             if action:
                 filepath = action.data()
                 if os.path.isfile(filepath):
-                    self._openFile(filepath)
+                    self._open_file(filepath)
                 else:
                     QMessageBox.warning(self, "Warning", "File not found")
 
-    def _saveData(self, filepath):
+    def _save_data(self, filepath):
         session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})
         session.save(filepath)
-        self.setCurrentFile(filepath)
+        self.set_current_file(filepath)
         self._unsaved_modifications = False
         self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
 
     @Slot()
     def save(self):
         if self.currentFile is not None:
-            self._saveData(self.currentFile)
+            self._save_data(self.currentFile)
         else:
-            self.saveAs()
+            self.save_as()
         return True
 
     @Slot()
-    def saveAs(self):
+    def save_as(self):
         dialog = QFileDialog(self)
         dialog.setWindowModality(Qt.WindowModal)
         dialog.setAcceptMode(QFileDialog.AcceptSave)
@@ -2387,14 +2387,14 @@ def saveAs(self):
             QMessageBox.critical(self, "Error", "Current session could not be saved")
             return False
         else:
-            self._saveData(dialog.selectedFiles()[0])
+            self._save_data(dialog.selectedFiles()[0])
             return True
 
     @Slot()
-    def openDocumentation(self):
+    def open_documentation(self):
         QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
 
-    def setCurrentFile(self, filepath):
+    def set_current_file(self, filepath):
         self.currentFile = filepath
         if filepath is not None:
             settings = QSettings()
@@ -2403,9 +2403,9 @@ def setCurrentFile(self, filepath):
                 files.remove(filepath)
             files = [filepath] + files[:self.MAX_RECENT_FILES-1]
             settings.setValue("recentFileList", files)
-        self.updateRecentFileActions()
+        self.update_recent_file_actions()
 
-    def updateRecentFileActions(self):
+    def update_recent_file_actions(self):
         settings = QSettings()
         files = settings.value("recentFileList")
         numRecentFiles = min(len(files), self.MAX_RECENT_FILES)
@@ -2420,7 +2420,7 @@ def updateRecentFileActions(self):
             self.recentFileActs[i].setVisible(False)
 
     def closeEvent(self, event):
-        if self._askToSaveIfDataModified():
+        if self._ask_to_save_if_unsaved_modifications():
             event.accept()
         else:
             event.ignore()

From 733832461237b2610f5624c931c81da3c2fd3d36 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 14:50:39 +0200
Subject: [PATCH 496/899] implemented delattr in class Session + updated
 changelog (0.22)

---
 doc/source/changes/version_0_22.rst.inc | 9 ++++++++-
 larray/session.py                       | 9 ++++++---
 2 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index adcde4f2a..a0b96eab7 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -199,7 +199,14 @@ Miscellaneous improvements
   will autocomplete to `s.a_nice_test_array` and `s['a_<tab>` will be completed to `s['a_nice_test_array`
 
 
-* implemented special method __delitem__ in class Session.
+* added possibility to delete an array from a session:
+    >>> s = Session({'a': ndtest((3, 3)), 'b': ndtest((2, 4)), 'c': ndtest((4, 2))})
+    >>> s.names
+    ['a', 'b', 'c']
+    >>> del s.b
+    >>> del s['c']
+    >>> s.names
+    ['a']
 
 Fixes
 -----
diff --git a/larray/session.py b/larray/session.py
index 1ac7c7352..c25a5d441 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -286,6 +286,9 @@ def add(self, *args, **kwargs):
         for k, v in kwargs.items():
             self[k] = v
 
+    def _ipython_key_completions_(self):
+        return list(self.keys())
+
     def __getitem__(self, key):
         if isinstance(key, int):
             return self._objects[self.keys()[key]]
@@ -329,9 +332,6 @@ def get(self, key, default=None):
     def __setitem__(self, key, value):
         self._objects[key] = value
 
-    def _ipython_key_completions_(self):
-        return list(self.keys())
-
     def __delitem__(self, key):
         del self._objects[key]
 
@@ -344,6 +344,9 @@ def __getattr__(self, key):
     def __setattr__(self, key, value):
         self._objects[key] = value
 
+    def __delattr__(self, key):
+        del self._objects[key]
+
     def __dir__(self):
         return list(set(dir(self.__class__)) | set(self.keys()))
 

From 2bccd168f1c4e735fdd4d7d575f24f792c172ea1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 15:00:10 +0200
Subject: [PATCH 497/899] updated changelog (0.22)

---
 doc/source/changes/version_0_22.rst.inc | 10 ++++------
 larray/excel.py                         |  2 +-
 2 files changed, 5 insertions(+), 7 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index a0b96eab7..901204ab4 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -198,8 +198,8 @@ Miscellaneous improvements
 
   will autocomplete to `s.a_nice_test_array` and `s['a_<tab>` will be completed to `s['a_nice_test_array`
 
-
 * added possibility to delete an array from a session:
+
     >>> s = Session({'a': ndtest((3, 3)), 'b': ndtest((2, 4)), 'c': ndtest((4, 2))})
     >>> s.names
     ['a', 'b', 'c']
@@ -226,15 +226,13 @@ Fixes
 * fixed array creation functions not raising an exception when called with wrong syntax func(axis1, axis2, ...)
   instead of func([axis1, axis2, ...]) (closes :issue:`203`).
 
-* fixed adding new sheets in a workbook: a new sheet is appended instead of prepended (closes :issue:`229`).
-
-* fixed __setitem__ of Workbook when value is an instance of `Sheet` and key is new.
+* fixed position of added sheets in excel workbook: new sheets are appended instead of prepended (closes :issue:`229`).
 
 * fixed Workbook behavior in case of new workbook: the first added sheet replaces the default sheet `Sheet1`
   (closes :issue:`230`).
 
-* fixed load session: read arrays in the same order as they are stored.
+* fixed order of arrays in sessions loaded from files. The order is now the same as in the file.
 
-* fixed list() method of PandasCSVHandler: returns only files with extension '.csv'
+* fixed loading session from CSV files in a directory. The directory may contain other non-csv files.
 
 
diff --git a/larray/excel.py b/larray/excel.py
index 7034f2b80..4f2af291a 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -167,7 +167,7 @@ def __setitem__(self, key, value):
                     value.xw_sheet.api.Copy(xw_sheet.api)
                     xw_sheet.delete()
                 else:
-                    xw_sheet = self[-1].xw_sheet
+                    xw_sheet = self[-1]
                     value.xw_sheet.api.Copy(xw_sheet.api)
                 return
             if key in self:

From 5c6a4cf80133797edf988ec13428e2f02a06947c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 16:22:17 +0200
Subject: [PATCH 498/899] updated MappingEditor.open()

---
 larray/viewer.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 5af2cd198..9858d6d7f 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2349,8 +2349,6 @@ def open(self):
                 filepath = QFileDialog.getOpenFileName(self)
             if isinstance(filepath, str):
                 self._open_file(filepath)
-            else:
-                QMessageBox.warning(self, "Warning", "No file selected")
 
     @Slot()
     def open_recent_file(self):

From b83898cf3a0a35ffcc21c9c9359a49620ee3823f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 28 Apr 2017 16:29:51 +0200
Subject: [PATCH 499/899] added argument DeprecationWarning in warning messages
 in Session methods

---
 larray/session.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index c25a5d441..e94594919 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -414,7 +414,7 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         handler.dump_arrays(arrays, display=display, **kwargs)
 
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
-        warnings.warn("Method dump is deprecated. Use method save instead.", stacklevel=2)
+        warnings.warn("Method dump is deprecated. Use method save instead.", DeprecationWarning, stacklevel=2)
         self.save(fname, names, engine, display, **kwargs)
 
     def to_hdf(self, fname, names=None, *args, **kwargs):
@@ -432,7 +432,7 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
         self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
     def dump_hdf(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", stacklevel=2)
+        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", DeprecationWarning, stacklevel=2)
         self.to_hdf(fname, names, *args, **kwargs)
 
     def to_excel(self, fname, names=None, *args, **kwargs):
@@ -450,7 +450,7 @@ def to_excel(self, fname, names=None, *args, **kwargs):
         self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
     def dump_excel(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", stacklevel=2)
+        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", DeprecationWarning, stacklevel=2)
         self.to_excel(fname, names, *args, **kwargs)
 
     def to_csv(self, fname, names=None, *args, **kwargs):
@@ -468,7 +468,7 @@ def to_csv(self, fname, names=None, *args, **kwargs):
         self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
     def dump_csv(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", stacklevel=2)
+        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", DeprecationWarning, stacklevel=2)
         self.to_csv(fname, names, *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):

From ec2b5eae0cf8540c0fe506f473069a0c903ac7d7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 2 May 2017 14:27:31 +0200
Subject: [PATCH 500/899] updated test_session.py (pytest)

---
 larray/tests/test_session.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 39e0592fa..ef12c0726 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -152,7 +152,7 @@ def test_xlsx_pandas_io(self):
         s.load(fpath, engine='pandas_excel')
         self.assertEqual(s.names, ['e', 'f'])
 
-    @unittest.skipIf(xw is None, "xlwings is not available")
+    @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
         self.session.save(abspath('test_session_xw.xlsx'), engine='xlwings_excel')
 

From a01c7299cd2e9492a48fabd1b42b1a5401f724cd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 16:36:13 +0200
Subject: [PATCH 501/899] improved handling for division by 0 and invalid
 values

* it points to the user code line, instead of the corresponding line in the larray module
* tests catch all expected warnings
* use nicer syntax (np.errstate context manager instead of np.seterr)
---
 doc/source/changes/version_0_22.rst.inc |  4 ++++
 larray/core.py                          | 16 ++++++++++-----
 larray/session.py                       | 15 +++++++++-----
 larray/tests/test_la.py                 | 27 +++++++++++++++++++++----
 larray/tests/test_session.py            |  8 ++++++--
 larray/utils.py                         | 12 +++++++++++
 6 files changed, 66 insertions(+), 16 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 901204ab4..cb77430cd 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -208,6 +208,10 @@ Miscellaneous improvements
     >>> s.names
     ['a']
 
+* made warning messages for division by 0 and invalid values (usually caused by 0 / 0) point to the user code line,
+  instead of the corresponding line in the larray module.
+
+
 Fixes
 -----
 
diff --git a/larray/core.py b/larray/core.py
index c763a27e7..c1b97b63f 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -112,10 +112,11 @@
     np_nanprod = None
 
 from larray.oset import *
-from larray.utils import (table2str, size2str, unique, csv_open, unzip, long,
+from larray.utils import (table2str, size2str, unique, csv_open, long,
                           decode, basestring, unicode, bytes, izip, rproduct,
                           ReprString, duplicates, array_lookup2, strip_rows,
-                          skip_comment_cells, find_closing_chr, StringIO, PY3)
+                          skip_comment_cells, find_closing_chr, StringIO, PY3,
+                          float_error_handler_factory)
 
 
 nan = np.nan
@@ -8517,9 +8518,8 @@ def divnot0(self, other):
             else:
                 return self / other
         else:
-            old_settings = np.seterr(divide='ignore', invalid='ignore')
-            res = self / other
-            np.seterr(**old_settings)
+            with np.errstate(divide='ignore', invalid='ignore'):
+                res = self / other
             res[other == 0] = 0
             return res
 
@@ -11431,6 +11431,12 @@ def make_numpy_broadcastable(values):
             for v in values], all_axes
 
 
+_default_float_error_handler = float_error_handler_factory(3)
+
+
+original_float_error_settings = np.seterr(divide='call', invalid='call')
+original_float_error_handler = np.seterrcall(_default_float_error_handler)
+
 # excel IO tools in Python
 # - openpyxl, the slowest but most-complete package but still lags behind
 #   PHPExcel from which it was ported. despite the drawbacks the API is very
diff --git a/larray/session.py b/larray/session.py
index e94594919..0d64907d9 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -10,6 +10,7 @@
 
 from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_equal, larray_nan_equal, get_axes
 from .excel import open_excel
+from .utils import float_error_handler_factory
 
 
 def check_pattern(k, pattern):
@@ -537,11 +538,12 @@ def opmethod(self, other):
             self_keys = set(self.keys())
             all_keys = list(self.keys()) + [n for n in other.keys() if
                                             n not in self_keys]
-            res = []
-            for name in all_keys:
-                self_array = self.get(name, np.nan)
-                other_array = other.get(name, np.nan)
-                res.append((name, getattr(self_array, opfullname)(other_array)))
+            with np.errstate(call=_session_float_error_handler):
+                res = []
+                for name in all_keys:
+                    self_array = self.get(name, np.nan)
+                    other_array = other.get(name, np.nan)
+                    res.append((name, getattr(self_array, opfullname)(other_array)))
             return Session(res)
         opmethod.__name__ = opfullname
         return opmethod
@@ -600,3 +602,6 @@ def local_arrays(depth=0):
     d = sys._getframe(depth + 1).f_locals
     return Session((k, d[k]) for k in sorted(d.keys())
                    if isinstance(d[k], LArray))
+
+
+_session_float_error_handler = float_error_handler_factory(4)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 1d6046e56..4eb24a4f2 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3030,9 +3030,23 @@ def test_binary_ops(self):
         assert_array_equal(la * 2, raw * 2)
         assert_array_equal(2 * la, 2 * raw)
 
-        assert_array_nan_equal(la / la, raw / raw)
+        with np.errstate(invalid='ignore'):
+            raw_res = raw / raw
+        warn_regexp = "invalid value \(NaN\) encountered during operation \(this is typically caused by a 0 / 0\)"
+        with self.assertWarnsRegex(RuntimeWarning, warn_regexp) as w:
+            res = la / la
+        assert_array_nan_equal(res, raw_res)
+        self.assertEqual(w.filename, __file__)
+
         assert_array_equal(la / 2, raw / 2)
-        assert_array_equal(30 / la, 30 / raw)
+
+        with np.errstate(divide='ignore'):
+            raw_res = 30 / raw
+        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+            res = 30 / la
+        assert_array_equal(res, raw_res)
+        self.assertEqual(w.filename, __file__)
+
         assert_array_equal(30 / (la + 1), 30 / (raw + 1))
 
         raw_int = raw.astype(int)
@@ -3080,7 +3094,13 @@ def test_binary_ops_no_name_axes(self):
 
         assert_array_nan_equal(la / la2, raw / raw2)
         assert_array_equal(la / 2, raw / 2)
-        assert_array_equal(30 / la, 30 / raw)
+
+        with np.errstate(divide='ignore'):
+            raw_res = 30 / raw
+        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+            res = 30 / la
+        assert_array_equal(res, raw_res)
+        self.assertEqual(w.filename, __file__)
         assert_array_equal(30 / (la + 1), 30 / (raw + 1))
 
         raw_int = raw.astype(int)
@@ -4045,7 +4065,6 @@ def test_matmul(self):
                           ['a1', 'b1', 'd1', 66, 71]])
         assert_array_equal(arr2d.__matmul__(arr4d), res)
 
-
     @pytest.mark.skipif(sys.version_info < (3, 5), reason="@ unavailable (Python < 3.5)")
     def test_rmatmul(self):
         a1 = eye(3) * 2
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index ef12c0726..9e263d41e 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -221,9 +221,13 @@ def test_sub(self):
     def test_div(self):
         sess = self.session.filter(kind=LArray)
         other = Session({'e': self.e - 1, 'f': self.f + 1})
-        res = sess / other
 
-        flat_e = np.arange(6) / np.arange(-1, 5)
+        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+            res = sess / other
+        self.assertEqual(w.filename, __file__)
+
+        with np.errstate(divide='ignore', invalid='ignore'):
+            flat_e = np.arange(6) / np.arange(-1, 5)
         assert_array_nan_equal(res['e'], flat_e.reshape(2, 3))
 
         flat_f = np.arange(6) / np.arange(1, 7)
diff --git a/larray/utils.py b/larray/utils.py
index 1ccc44798..66016204a 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -7,6 +7,7 @@
 import itertools
 import sys
 import operator
+import warnings
 from textwrap import wrap
 from functools import reduce
 from itertools import product
@@ -438,3 +439,14 @@ def find_closing_chr(s, start=0):
                     return pos
     raise ValueError("malformed expression: reached end of string without "
                      "finding the expected '{}'".format(match[needle]))
+
+
+def float_error_handler_factory(stacklevel):
+    def error_handler(error, flag):
+        if error == 'invalid value':
+            error = 'invalid value (NaN)'
+            extra = ' (this is typically caused by a 0 / 0)'
+        else:
+            extra = ''
+        warnings.warn("{} encountered during operation{}".format(error, extra), RuntimeWarning, stacklevel=stacklevel)
+    return error_handler

From b6dcb5b26f80c39ccff71fd2c5159760ad2dc155 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 16:47:13 +0200
Subject: [PATCH 502/899] fixed with_axes warning to refer to set_axes instead
 of replace_axes.

---
 doc/source/changes/version_0_22.rst.inc | 2 +-
 larray/core.py                          | 4 +---
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index cb77430cd..bf5fd0dd0 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -239,4 +239,4 @@ Fixes
 
 * fixed loading session from CSV files in a directory. The directory may contain other non-csv files.
 
-
+* fixed with_axes warning to refer to set_axes instead of replace_axes.
diff --git a/larray/core.py b/larray/core.py
index c1b97b63f..6e0418445 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4354,9 +4354,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             return LArray(self.data, new_axes, title=self.title)
 
     def with_axes(self, axes):
-        warnings.warn("LArray.with_axes is deprecated, "
-                      "use LArray.replace_axes instead",
-                      DeprecationWarning)
+        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", DeprecationWarning)
         return self.set_axes(axes)
 
     def __getattr__(self, key):

From 596993aac47aecfacff46b8ae3c3fa0b219b771a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 16:50:56 +0200
Subject: [PATCH 503/899] fixed pickling Session and LArray

---
 larray/core.py    | 8 ++++++++
 larray/session.py | 9 +++++++++
 2 files changed, 17 insertions(+)

diff --git a/larray/core.py b/larray/core.py
index 6e0418445..3a370a9f7 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4363,6 +4363,14 @@ def __getattr__(self, key):
         else:
             raise AttributeError("'{}' object has no attribute '{}'".format(self.__class__.__name__, key))
 
+    # needed to make *un*pickling work (because otherwise, __getattr__ is called before .axes exists, which leads to
+    # an infinite recursion)
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
     def __dir__(self):
         names = set(axis.name for axis in self.axes if axis.name is not None)
         return list(set(dir(self.__class__)) | names)
diff --git a/larray/session.py b/larray/session.py
index 0d64907d9..725ceab10 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -351,6 +351,15 @@ def __delattr__(self, key):
     def __dir__(self):
         return list(set(dir(self.__class__)) | set(self.keys()))
 
+    # needed to make *un*pickling work (because otherwise, __getattr__ is called before ._objects exists, which leads to
+    # an infinite recursion)
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        # equivalent to self.__dict__ = d (we need this form because __setattr__ is overridden)
+        object.__setattr__(self, '__dict__', d)
+
     def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         Loads array objects from a file.

From 228ca944121adbf0ae46f10b47f34cb9eb0ef6ac Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 17:29:52 +0200
Subject: [PATCH 504/899] made larray_equal and larray_nan_equal return True
 when comparing two non-LArray values which are equal

---
 larray/core.py | 38 ++++++++++++++++++++++++--------------
 1 file changed, 24 insertions(+), 14 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 3a370a9f7..9d36eb857 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -716,15 +716,15 @@ def union(*args):
         return []
 
 
-def larray_equal(first, other):
+def larray_equal(a1, a2):
     """
     Compares two arrays and returns True if they have the same axes and elements (and do not contain nan values,
     see note below), False otherwise.
 
     Parameters
     ----------
-    first, other : LArray
-        Input arrays.
+    a1, a2 : LArray-like
+        Input arrays. aslarray() is used on non-LArray inputs.
 
     Returns
     -------
@@ -756,23 +756,25 @@ def larray_equal(first, other):
     >>> larray_equal(arr1, arr2)
     False
     >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
-    >>> larray_equal(arr1, arr2)
+    >>> larray_equal(arr1, arr3)
     False
     """
-    if not isinstance(first, LArray) or not isinstance(other, LArray):
+    try:
+        a1, a2 = aslarray(a1), aslarray(a2)
+    except Exception:
         return False
-    return (first.axes == other.axes and
-            np.array_equal(np.asarray(first), np.asarray(other)))
+    return (a1.axes == a2.axes and
+            np.array_equal(np.asarray(a1), np.asarray(a2)))
 
 
-def larray_nan_equal(first, other):
+def larray_nan_equal(a1, a2):
     """
     Compares two arrays and returns True if they have the same axes and elements, False otherwise.
 
     Parameters
     ----------
-    first, other : LArray
-        Input arrays.
+    a1, a2 : LArray-like
+        Input arrays. aslarray() is used on non-LArray inputs.
 
     Returns
     -------
@@ -800,13 +802,21 @@ def larray_nan_equal(first, other):
     >>> larray_nan_equal(arr1, arr2)
     False
     >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
-    >>> larray_nan_equal(arr1, arr2)
+    >>> larray_nan_equal(arr1, arr3)
     False
+    >>> larray_nan_equal([0], [0])
+    True
     """
-    if not isinstance(first, LArray) or not isinstance(other, LArray):
+    def isnan(a):
+        assert isinstance(a, np.ndarray)
+        return np.isnan(a) if np.issubclass_(a.dtype.type, np.inexact) else False
+
+    try:
+        a1, a2 = aslarray(a1), aslarray(a2)
+    except Exception:
         return False
-    eq = (first == other) | (np.isnan(first) & np.isnan(other))
-    return first.axes == other.axes and all(eq)
+    npa1, npa2 = np.asarray(a1), np.asarray(a2)
+    return a1.axes == a2.axes and np.all((npa1 == npa2) | (isnan(npa1) & isnan(npa2)))
 
 
 def _isnoneslice(v):

From 6da8e87e5f3da4054d65a29fddeb9a8066c40918 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 17:33:35 +0200
Subject: [PATCH 505/899] lift scalar fill_value limitation for reindex.

Using an LArray fill_value can makes sense (and already works).
---
 larray/core.py          |  8 +++-----
 larray/tests/test_la.py | 25 ++++++++++++++++++-------
 2 files changed, 21 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 9d36eb857..620cef031 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4799,9 +4799,8 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
             In that case, the number of new axes must match the number of the old ones.
         new_axis : int, str, list/tuple of str or Axis, optional
             List of new labels or new axis if `axes_to_replace` contains a single axis reference.
-        fill_value : scalar, optional
-            Value set to data corresponding to added labels.
-            Defaults to NaN.
+        fill_value : scalar or LArray, optional
+            Value set to data corresponding to added labels. Defaults to NaN.
         inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
             Defaults to False.
@@ -4857,8 +4856,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
          a2 | nan | nan | nan
          a0 | nan | 1.0 | 0.0
         """
-        if not np.isscalar(fill_value):
-            raise TypeError("fill_value must be a scalar")
+        # XXX: can't we move this to AxisCollection.replace?
         if isinstance(new_axis, (int, basestring, list, tuple)):
             new_axis = Axis(new_axis, self.axes[axes_to_reindex].name)
         res_axes = self.axes.replace(axes_to_reindex, new_axis, **kwargs)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 4eb24a4f2..ffc35b6ab 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3217,13 +3217,24 @@ def test_replace_axes(self):
         assert_array_equal(la, la2)
 
     def test_reindex(self):
-        la = self.small.reindex(x.sex, ['F', 'M', 'U'], fill_value=0)
-        self.assertEqual(la.shape, (3, 15))
-        self.assertSequenceEqual(list(la.sex.labels), ['F', 'M', 'U'])
-
-        la2 = self.small.copy()
-        la2.reindex(x.sex, ['F', 'M', 'U'], fill_value=0, inplace=True)
-        assert_array_equal(la, la2)
+        arr = ndtest((2, 2))
+        res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
+        assert_array_equal(res, from_string("""a\\b, b1, b2, b0
+                                                 a0,  1, -1,  0
+                                                 a1,  3, -1,  2"""))
+
+        arr2 = ndtest((2, 2))
+        arr2.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1, inplace=True)
+        assert_array_equal(arr2, from_string("""a\\b, b1, b2, b0
+                                                  a0,  1, -1,  0
+                                                  a1,  3, -1,  2"""))
+
+        # LArray fill value
+        filler = ndrange(arr.a)
+        res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=filler)
+        assert_array_equal(res, from_string("""a\\b, b1, b2, b0
+                                                 a0,  1,  0,  0
+                                                 a1,  3,  1,  2"""))
 
     def test_append(self):
         la = self.small

From cb5ccd9bf55a74464611eda3eada04a136273d08 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 27 Apr 2017 17:35:57 +0200
Subject: [PATCH 506/899] fixed a few occurrences of Axis arguments which were
 not swapped

---
 larray/core.py          | 2 +-
 larray/tests/test_la.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 620cef031..55636d8ac 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2408,7 +2408,7 @@ def _make_axis(obj):
         return obj
     elif isinstance(obj, tuple):
         assert len(obj) == 2
-        name, labels = obj
+        labels, name = obj
         return Axis(labels, name)
     elif isinstance(obj, Group):
         return Axis(obj.eval(), obj.axis)
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index ffc35b6ab..9c502bd39 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -788,13 +788,13 @@ def test_eq(self):
         self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
 
     def test_getattr(self):
-        agg = Axis('agg', ['a1:a2', ':a2', 'a1:'])
+        agg = Axis(['a1:a2', ':a2', 'a1:'], 'agg')
         self.assertEqual(agg.i[0].split(':'), ['a1', 'a2'])
         self.assertEqual(agg.i[1].split(':'), ['', 'a2'])
         self.assertEqual(agg.i[2].split(':'), ['a1', ''])
 
     def test_dir(self):
-        agg = Axis('agg', ['a', 1])
+        agg = Axis(['a', 1], 'agg')
         self.assertTrue('split' in dir(agg.i[0]))
         self.assertTrue('strip' in dir(agg.i[0]))
         self.assertTrue('strip' in dir(agg.i[0]))

From 098348a1eb48e4aeca9472a3d549493661baf6a1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 May 2017 15:24:31 +0200
Subject: [PATCH 507/899] made AxisCollection.__setitem__ accept any axis
 definition (in addition to Axis objects)

For users, this is mostly visible in AxisCollection.replace
---
 doc/source/changes/version_0_22.rst.inc | 34 ++++++++++++++++++++----
 larray/core.py                          | 17 ++++++++----
 larray/tests/test_la.py                 | 35 +++++++++++++++++++++++++
 3 files changed, 76 insertions(+), 10 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index bf5fd0dd0..52b212a33 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -167,10 +167,34 @@ Miscellaneous improvements
     >>> test.i[1].split('-')
     ['a1', 'a2']
 
-* updated AxisCollection.replace so as to replace one, several or all axes.
-
-* made create_sequential axis argument accept all the ways to create axes supported by other array creation functions
-  like, for example, using a string definition (closes :issue:`160`).
+* updated AxisCollection.replace so as to replace one, several or all axes and to accept axis definitions as new axes.
+
+    >>> arr = ndtest((2, 3))
+    >>> axes = arr.axes
+    >>> axes
+    AxisCollection([
+        Axis(['a0', 'a1'], 'a'),
+        Axis(['b0', 'b1', 'b2'], 'b')
+    ])
+    >>> row = Axis(['r0', 'r1'], 'row')
+    >>> column = Axis(['c0', 'c1', 'c2'], 'column')
+
+    Replace several axes (keywords, list of tuple or dictionary)
+
+    >>> axes.replace(a=row, b=column)
+    >>> # or
+    >>> axes.replace(a="row=r0,r1", b="column=c0,c1,c2")
+    >>> # or
+    >>> axes.replace([(x.a, row), (x.b, column)])
+    >>> # or
+    >>> axes.replace({x.a: row, x.b: column})
+    AxisCollection([
+        Axis(['r0', 'r1'], 'row'),
+        Axis(['c0', 'c1', 'c2'], 'column')
+    ])
+
+* made create_sequential axis argument accept axis definitions in addition to Axis objects like, for example, using a
+  string definition (closes :issue:`160`).
 
     >>> create_sequential('year=2016..2019')
     year | 2016 | 2017 | 2018 | 2019
@@ -181,7 +205,7 @@ Miscellaneous improvements
 
 * improved documentation of plot method (closes :issue:`169`).
 
-* improved auto-completion in interactive consoles for both LArray and Session objects. LArray objects can now
+* improved auto-completion in ipython interactive consoles for both LArray and Session objects. LArray objects can now
   complete keys within [].
 
     >>> a = ndrange('sex=Male,Female')
diff --git a/larray/core.py b/larray/core.py
index 55636d8ac..45a25b71b 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2640,6 +2640,8 @@ def slice_bound(bound):
             for k, v in zip(key, value):
                 self[k] = v
         else:
+            if isinstance(value, (int, basestring, list, tuple)):
+                value = Axis(value)
             assert isinstance(value, Axis)
             idx = self.index(key)
             step = 1 if idx >= 0 else -1
@@ -3119,7 +3121,7 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
             In that case, the number of new axes must match the number of the old ones.
-        new_axis : Axis, optional
+        new_axis : axis ref, optional
             New axis if `axes_to_replace` contains a single axis reference.
         inplace : bool, optional
             Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
@@ -3145,7 +3147,9 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
 
         Replace one axis (second argument `new_axis` must be provided)
 
-        >>> axes.replace(x.a, row)
+        >>> axes.replace(x.a, row)  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace(x.a, "row=r0,r1")
         AxisCollection([
             Axis(['r0', 'r1'], 'row'),
             Axis(['b0', 'b1', 'b2'], 'b')
@@ -3153,9 +3157,11 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
 
         Replace several axes (keywords, list of tuple or dictionary)
 
-        >>> axes.replace(a=row, b=column) # doctest: +SKIP
+        >>> axes.replace(a=row, b=column)  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace(a="row=r0,r1", b="column=c0,c1,c2")  # doctest: +SKIP
         >>> # or
-        >>> axes.replace([(x.a, row), (x.b, column)]) # doctest: +SKIP
+        >>> axes.replace([(x.a, row), (x.b, column)])  # doctest: +SKIP
         >>> # or
         >>> axes.replace({x.a: row, x.b: column})
         AxisCollection([
@@ -3188,8 +3194,9 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
             if isinstance(axes_to_replace, dict):
                 items = list(axes_to_replace.items())
             elif isinstance(axes_to_replace, list):
+                assert all([isinstance(item, tuple) and len(item) == 2 for item in axes_to_replace])
                 items = axes_to_replace[:]
-            elif isinstance(axes_to_replace, (str, Axis, int)):
+            elif isinstance(axes_to_replace, (basestring, Axis, int)):
                 items = [(axes_to_replace, new_axis)]
             else:
                 items = []
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 9c502bd39..faefaebcf 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -873,6 +873,23 @@ def test_setitem_name(self):
         col['geo'] = self.age
         self.assertEqual(col, self.collection)
 
+    def test_setitem_name_axis_def(self):
+        col = self.collection[:]
+        # replace an axis with one with another name
+        col['lipro'] = 'geo=A11,A12,A13'
+        self.assertEqual(len(col), 3)
+        self.assertEqual(col, [self.geo, self.sex, self.age])
+        # replace an axis with one with the same name
+        col['sex'] = 'sex=F,M'
+        self.assertEqual(col, [self.geo, self.sex2, self.age])
+        col['geo'] = 'lipro=P01..P04'
+        self.assertEqual(col, [self.lipro, self.sex2, self.age])
+        col['age'] = 'geo=A11,A12,A13'
+        self.assertEqual(col, [self.lipro, self.sex2, self.geo])
+        col['sex'] = 'sex=M,F'
+        col['geo'] = 'age=0..7'
+        self.assertEqual(col, self.collection)
+
     def test_setitem_int(self):
         col = self.collection[:]
         col[1] = self.geo
@@ -955,9 +972,27 @@ def test_replace(self):
         self.assertEqual(col, self.collection)
         self.assertEqual(len(newcol), 3)
         self.assertEqual(newcol.names, ['lipro', 'geo', 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
         newcol = newcol.replace(self.geo, self.sex)
         self.assertEqual(len(newcol), 3)
         self.assertEqual(newcol.names, ['lipro', 'sex', 'age'])
+        self.assertEqual(newcol.shape, (4, 2, 8))
+
+        # from now on, reuse original collection
+        newcol = col.replace(self.sex, 3)
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', None, 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+
+        newcol = col.replace(self.sex, ['a', 'b', 'c'])
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', None, 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+
+        newcol = col.replace(self.sex, "letters=a,b,c")
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', 'letters', 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
 
     # TODO: add contains_test (using both axis name and axis objects)
     def test_get(self):

From 1e0647f0821d7618e5ed9ac29603b05a0f17d045 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 May 2017 15:27:53 +0200
Subject: [PATCH 508/899] made a few tests faster by using smaller test arrays

---
 larray/tests/test_la.py | 43 ++++++++++++++++++++++++-----------------
 1 file changed, 25 insertions(+), 18 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index faefaebcf..4914914e9 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1471,23 +1471,24 @@ def test_getitem_abstract_positional(self):
             la[x.age.i[2, 3], x.age.i[1, 5]]
 
     def test_getitem_bool_larray_key(self):
-        raw = self.array
-        la = self.larray
+        arr = ndtest((3, 2, 4))
+        raw = arr.data
 
         # all dimensions
-        res = la[la < 5]
+        res = arr[arr < 5]
         self.assertTrue(isinstance(res, LArray))
         self.assertEqual(res.ndim, 1)
         assert_array_equal(res, raw[raw < 5])
 
         # missing dimension
-        res = la[la['M'] % 5 == 0]
+        filt = arr['b1'] % 5 == 0
+        res = arr[filt]
         self.assertTrue(isinstance(res, LArray))
         self.assertEqual(res.ndim, 2)
-        self.assertEqual(res.shape, (116 * 44 * 15 / 5, 2))
-        raw_key = raw[:, :, 0, :] % 5 == 0
-        raw_d1, raw_d2, raw_d4 = raw_key.nonzero()
-        assert_array_equal(res, raw[raw_d1, raw_d2, :, raw_d4])
+        self.assertEqual(res.shape, (3, 2))
+        raw_key = raw[:, 1, :] % 5 == 0
+        raw_d1, raw_d3 = raw_key.nonzero()
+        assert_array_equal(res, raw[raw_d1, :, raw_d3])
 
     def test_getitem_bool_ndarray_key(self):
         raw = self.array
@@ -2166,21 +2167,20 @@ def test_median_groups(self):
         assert_array_nan_equal(res, np.median(raw[:, [0, 2, 4]], 1))
 
     def test_percentile_full_axes(self):
-        la = self.larray
-        raw = self.array
-
-        self.assertEqual(la.percentile(10),
+        arr = ndtest((2, 3, 4))
+        raw = arr.data
+        self.assertEqual(arr.percentile(10),
                          np.percentile(raw, 10))
-        assert_array_nan_equal(la.percentile(10, x.age),
+        assert_array_nan_equal(arr.percentile(10, x.a),
                                np.percentile(raw, 10, 0))
-        assert_array_nan_equal(la.percentile(10, x.age, x.sex),
-                               np.percentile(raw, 10, (0, 2)))
+        assert_array_nan_equal(arr.percentile(10, x.c, x.a),
+                               np.percentile(raw, 10, (2, 0)))
 
     def test_percentile_groups(self):
-        la = self.larray
-        raw = self.array
+        arr = ndtest((2, 5, 3))
+        raw = arr.data
 
-        res = la.percentile(10, x.geo['A11', 'A13', 'A24'])
+        res = arr.percentile(10, x.b['b0', 'b2', 'b4'])
         assert_array_nan_equal(res, np.percentile(raw[:, [0, 2, 4]], 10, 1))
 
     def test_cumsum(self):
@@ -3387,6 +3387,13 @@ def test_read_eurostat(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_read_excel_xlwings(self):
+        # TODO: we should implement an app= argument for read_excel to reuse the same Excel instance
+        # we could also use a single instance for the whole class by using something like:
+
+        # @classmethod
+        # def setUpClass(cls):
+        #     cls._excel_app = ...
+
         la = read_excel(abspath('test.xlsx'), '1d')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))

From 9b4313e9ba739514cbd6e38ddbb0c3081c0c632b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 May 2017 15:30:42 +0200
Subject: [PATCH 509/899] added test for pickling/unpickling Session (which
 contains Axis and LArray objects)

---
 larray/tests/test_session.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 9e263d41e..83a303393 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -3,6 +3,12 @@
 from unittest import TestCase
 import pytest
 
+try:
+    import pickle
+except ImportError:
+    import cPickle as pickle
+
+
 import numpy as np
 
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
@@ -241,6 +247,12 @@ def test_summary(self):
                          "f: a0*, a1*\n    \n\n"
                          "g: a0*, a1*\n    \n")
 
+    def test_pickle_roundtrip(self):
+        original = self.session
+        s = pickle.dumps(original)
+        res = pickle.loads(s)
+        self.assertTrue(all(res == original))
+
 
 if __name__ == "__main__":
     # import doctest

From 5aec8d5d3ce68902dabdcee53274b16b17551550 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 May 2017 15:33:45 +0200
Subject: [PATCH 510/899] moved new syntax for stack to improvements instead of
 new features

---
 doc/source/changes/version_0_22.rst.inc | 84 ++++++++++++-------------
 1 file changed, 42 insertions(+), 42 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 52b212a33..f02e5566f 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -34,48 +34,6 @@
 
   This closes :issue:`184`.
 
-* implemented a new syntax for stack(): `stack({label1: value1, label2: value2}, axis)`
-
-    >>> nat = Axis('nat', 'BE, FO')
-    >>> sex = Axis('sex', 'M, F')
-    >>> males = ones(nat)
-    >>> males
-    nat |  BE |  FO
-        | 1.0 | 1.0
-    >>> females = zeros(nat)
-    >>> females
-    nat |  BE |  FO
-        | 0.0 | 0.0
-
-  In the case the axis has already been defined in a variable, this gives:
-
-    >>> stack({'M': males, 'F': females}, sex)
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
-
-  Additionally, axis can now be an axis string definition in addition to an Axis object, which means one can write this:
-
-    >>> stack({'M': males, 'F': females}, 'sex=M,F')
-
-  It is better than the simpler but *highly discouraged* alternative:
-
-    >>> stack([males, females), sex)
-
-  because it is all too easy to invert labels. It is very hard to spot the error in the following line, and larray
-  cannot spot it for you either:
-
-    >>> stack([females, males), sex)
-    nat\\sex |   M |   F
-         BE | 0.0 | 1.0
-         FO | 0.0 | 1.0
-
-  When creating an axis from scratch (it does not already exist in a variable), one might want to use this:
-
-    >>> stack([males, females], 'sex=M,F')
-
-  even if this could suffer, to a lesser extent, the same problem as above when stacking many arrays.
-
 * implemented reindex allowing to change order of labels (and add new ones) of one or several axes:
 
     >>> arr = ndtest((2, 2))
@@ -152,6 +110,48 @@ Miscellaneous improvements
 
 * changed default value of `ddof` argument for var and std functions from 0 to 1 (closes :issue:`190`).
 
+* implemented a new syntax for stack(): `stack({label1: value1, label2: value2}, axis)`
+
+    >>> nat = Axis('nat', 'BE, FO')
+    >>> sex = Axis('sex', 'M, F')
+    >>> males = ones(nat)
+    >>> males
+    nat |  BE |  FO
+        | 1.0 | 1.0
+    >>> females = zeros(nat)
+    >>> females
+    nat |  BE |  FO
+        | 0.0 | 0.0
+
+  In the case the axis has already been defined in a variable, this gives:
+
+    >>> stack({'M': males, 'F': females}, sex)
+    nat\\sex |   M |   F
+         BE | 1.0 | 0.0
+         FO | 1.0 | 0.0
+
+  Additionally, axis can now be an axis string definition in addition to an Axis object, which means one can write this:
+
+    >>> stack({'M': males, 'F': females}, 'sex=M,F')
+
+  It is better than the simpler but *highly discouraged* alternative:
+
+    >>> stack([males, females), sex)
+
+  because it is all too easy to invert labels. It is very hard to spot the error in the following line, and larray
+  cannot spot it for you either:
+
+    >>> stack([females, males), sex)
+    nat\\sex |   M |   F
+         BE | 0.0 | 1.0
+         FO | 0.0 | 1.0
+
+  When creating an axis from scratch (it does not already exist in a variable), one might want to use this:
+
+    >>> stack([males, females], 'sex=M,F')
+
+  even if this could suffer, to a lesser extent, the same problem as above when stacking many arrays.
+
 * handle ... in transpose method to avoid having to list all axes. This can be useful, for example, to change which
   axis is displayed in columns (closes :issue:`188`).
 

From 204b790406f06dc22feab98c20598203ff4a5385 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 2 May 2017 16:38:23 +0200
Subject: [PATCH 511/899] fixed tests on python2 by using py.test syntax for
 checking for warnings

(instead of Python3+ unittest syntax)
---
 larray/tests/test_la.py      | 21 ++++++++++++++-------
 larray/tests/test_session.py |  6 ++++--
 2 files changed, 18 insertions(+), 9 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 4914914e9..6c2384a15 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3067,20 +3067,24 @@ def test_binary_ops(self):
 
         with np.errstate(invalid='ignore'):
             raw_res = raw / raw
-        warn_regexp = "invalid value \(NaN\) encountered during operation \(this is typically caused by a 0 / 0\)"
-        with self.assertWarnsRegex(RuntimeWarning, warn_regexp) as w:
+        with pytest.warns(RuntimeWarning) as caught_warnings:
             res = la / la
         assert_array_nan_equal(res, raw_res)
-        self.assertEqual(w.filename, __file__)
+        assert len(caught_warnings) == 1
+        warn_msg = "invalid value (NaN) encountered during operation (this is typically caused by a 0 / 0)"
+        assert caught_warnings[0].message.args[0] == warn_msg
+        assert caught_warnings[0].filename == __file__
 
         assert_array_equal(la / 2, raw / 2)
 
         with np.errstate(divide='ignore'):
             raw_res = 30 / raw
-        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+        with pytest.warns(RuntimeWarning) as caught_warnings:
             res = 30 / la
         assert_array_equal(res, raw_res)
-        self.assertEqual(w.filename, __file__)
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "divide by zero encountered during operation"
+        assert caught_warnings[0].filename == __file__
 
         assert_array_equal(30 / (la + 1), 30 / (raw + 1))
 
@@ -3132,10 +3136,13 @@ def test_binary_ops_no_name_axes(self):
 
         with np.errstate(divide='ignore'):
             raw_res = 30 / raw
-        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+        with pytest.warns(RuntimeWarning) as caught_warnings:
             res = 30 / la
         assert_array_equal(res, raw_res)
-        self.assertEqual(w.filename, __file__)
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "divide by zero encountered during operation"
+        assert caught_warnings[0].filename == __file__
+
         assert_array_equal(30 / (la + 1), 30 / (raw + 1))
 
         raw_int = raw.astype(int)
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 83a303393..dacc66f78 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -228,9 +228,11 @@ def test_div(self):
         sess = self.session.filter(kind=LArray)
         other = Session({'e': self.e - 1, 'f': self.f + 1})
 
-        with self.assertWarnsRegex(RuntimeWarning, "divide by zero encountered during operation") as w:
+        with pytest.warns(RuntimeWarning) as caught_warnings:
             res = sess / other
-        self.assertEqual(w.filename, __file__)
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "divide by zero encountered during operation"
+        assert caught_warnings[0].filename == __file__
 
         with np.errstate(divide='ignore', invalid='ignore'):
             flat_e = np.arange(6) / np.arange(-1, 5)

From 8c413c0b436710094ede053db839cf0b3cc2f219 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 May 2017 16:41:31 +0200
Subject: [PATCH 512/899] change PY3 flag to PY2 so that we are ready for
 python4 :)

---
 larray/core.py  | 14 +++++++-------
 larray/utils.py | 14 +++++++++-----
 2 files changed, 16 insertions(+), 12 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 45a25b71b..93c1a6fe0 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -115,7 +115,7 @@
 from larray.utils import (table2str, size2str, unique, csv_open, long,
                           decode, basestring, unicode, bytes, izip, rproduct,
                           ReprString, duplicates, array_lookup2, strip_rows,
-                          skip_comment_cells, find_closing_chr, StringIO, PY3,
+                          skip_comment_cells, find_closing_chr, StringIO, PY2,
                           float_error_handler_factory)
 
 
@@ -1434,7 +1434,7 @@ def _is_key_type_compatible(self, key):
         # vice versa), so we shouldn't be more picky here than dict hashing
         str_key = key_kind in ('S', 'U')
         str_label = label_kind in ('S', 'U')
-        py2_str_match = not PY3 and str_key and str_label
+        py2_str_match = PY2 and str_key and str_label
         # object kind can match anything
         return key_kind == label_kind or \
                key_kind == 'O' or label_kind == 'O' or \
@@ -2018,11 +2018,7 @@ def _binop(opname):
         op_fullname = '__%s__' % opname
 
         # TODO: implement this in a delayed fashion for reference axes
-        if PY3:
-            def opmethod(self, other):
-                other_value = other.eval() if isinstance(other, Group) else other
-                return getattr(self.eval(), op_fullname)(other_value)
-        else:
+        if PY2:
             # workaround the fact slice objects do not have any __binop__ methods defined on Python2 (even though
             # the actual operations work on them).
             def opmethod(self, other):
@@ -2034,6 +2030,10 @@ def opmethod(self, other):
                     self_value = (self_value.start, self_value.stop, self_value.step)
                     other_value = (other_value.start, other_value.stop, other_value.step)
                 return getattr(self_value, op_fullname)(other_value)
+        else:
+            def opmethod(self, other):
+                other_value = other.eval() if isinstance(other, Group) else other
+                return getattr(self.eval(), op_fullname)(other_value)
 
         opmethod.__name__ = op_fullname
         return opmethod
diff --git a/larray/utils.py b/larray/utils.py
index 66016204a..a39eba742 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -25,19 +25,23 @@
     bytes = str
     unicode = unicode
     long = long
-    # FIXME: we should rather use PY2 = True (for py4 compat)
-    PY3 = False
+    PY2 = True
 else:
     basestring = str
     bytes = bytes
     unicode = str
     long = int
-    PY3 = True
+    PY2 = False
 
-if PY3:
+if PY2:
+    from StringIO import StringIO
+else:
     from io import StringIO
+
+if PY2:
+    import cPickle as pickle
 else:
-    from StringIO import StringIO
+    import pickle
 
 
 def csv_open(filename, mode='r'):

From d5685815bb99325995c0b38e23267d6d637d1d28 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 May 2017 16:45:51 +0200
Subject: [PATCH 513/899] fixed pickle import

cPickle was never used on Python2 because pickle exists :)
---
 larray/tests/test_session.py | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index dacc66f78..767668740 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -1,18 +1,13 @@
 from __future__ import absolute_import, division, print_function
 
 from unittest import TestCase
-import pytest
-
-try:
-    import pickle
-except ImportError:
-    import cPickle as pickle
-
 
+import pytest
 import numpy as np
 
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.tests.test_la import assert_array_nan_equal, abspath
+from larray.utils import pickle
 
 try:
     import xlwings as xw

From cf361e92544d830a089c0aaccb2b4a216f543c2c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 May 2017 16:51:43 +0200
Subject: [PATCH 514/899] fixed a few quirks remaining from pytest transition

---
 larray/tests/test_la.py      | 12 +++++++-----
 larray/tests/test_session.py |  4 +++-
 2 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 6c2384a15..5448cade3 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3,8 +3,8 @@
 import os.path
 import sys
 from unittest import TestCase
-import pytest
 
+import pytest
 import numpy as np
 import pandas as pd
 
@@ -4224,7 +4224,9 @@ def test_stack(self):
         assert_array_equal(res, expected)
 
 if __name__ == "__main__":
-    import doctest
-    from larray import core
-    doctest.testmod(core)
-    unittest.main()
+    # import doctest
+    # import unittest
+    # from larray import core
+    # doctest.testmod(core)
+    # unittest.main()
+    pytest.main()
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 767668740..f73fd37a5 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -253,5 +253,7 @@ def test_pickle_roundtrip(self):
 
 if __name__ == "__main__":
     # import doctest
+    # import unittest
     # doctest.testmod(larray.core)
-    unittest.main()
+    # unittest.main()
+    pytest.main()

From 7db612f40a2c9ab38269191222e24f0c61548e75 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 May 2017 17:09:19 +0200
Subject: [PATCH 515/899] made Session.save() keep arrays order (instead of
 sorting them alphabetically)

---
 larray/session.py            | 21 +++++++---------
 larray/tests/test_session.py | 49 ++++++++++++++++++------------------
 2 files changed, 34 insertions(+), 36 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 725ceab10..392b0973c 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -81,8 +81,8 @@ def read_arrays(self, keys, *args, **kwargs):
 
         Returns
         -------
-        dict(str,LArray)
-            Dictionary containing names and arrays loaded from a file.
+        OrderedDict(str, LArray)
+            Dictionary containing the loaded arrays.
         """
         display = kwargs.pop('display', False)
         self._open_for_read()
@@ -106,11 +106,10 @@ def dump_arrays(self, key_values, *args, **kwargs):
 
         Parameters
         ----------
-        key_values : dict of paris (str, LArray)
-            Dictionary containing arrays to dump.
+        key_values : list of (str, LArray) pairs
+            Name and data of arrays to dump.
         kwargs :
-            * display: a small message is displayed to tell when
-              an array is started to be dump and when it's done.
+            * display: whether or not to display when the dump of each array is started/done.
         """
         display = kwargs.pop('display', False)
         self._open_for_write()
@@ -212,7 +211,7 @@ def _open_for_write(self):
     def list(self):
         # strip extension from files
         # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
-        return [os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname]
+        return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
 
     def _read_array(self, key, *args, **kwargs):
         fpath = os.path.join(self.fname, '{}.csv'.format(key))
@@ -415,13 +414,11 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
             engine = ext_default_engine[ext]
         handler_cls = handler_classes[engine]
         handler = handler_cls(fname)
-        filtered = self.filter(kind=LArray)
-        # not using .items() so that arrays are sorted
-        arrays = [(k, filtered[k]) for k in filtered.names]
+        items = self.filter(kind=LArray).items()
         if names is not None:
             names_set = set(names)
-            arrays = [(k, v) for k, v in arrays if k in names_set]
-        handler.dump_arrays(arrays, display=display, **kwargs)
+            items = [(k, v) for k, v in items if k in names_set]
+        handler.dump_arrays(items, display=display, **kwargs)
 
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
         warnings.warn("Method dump is deprecated. Use method save instead.", DeprecationWarning, stacklevel=2)
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index f73fd37a5..609fb53d4 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -33,10 +33,11 @@ def setUp(self):
         self.e = ndrange([(2, 'a0'), (3, 'a1')])
         self.f = ndrange([(3, 'a0'), (2, 'a1')])
         self.g = ndrange([(2, 'a0'), (4, 'a1')])
-        self.session = Session([('b', self.b), ('a', self.a),
-                                ('c', self.c), ('d', self.d),
-                                ('e', self.e), ('f', self.f),
-                                ('g', self.g)])
+        self.session = Session([
+            ('b', self.b), ('a', self.a),
+            ('c', self.c), ('d', self.d),
+            ('e', self.e), ('g', self.g), ('f', self.f),
+        ])
 
     def assertObjListEqual(self, got, expected):
         self.assertEqual(len(got), len(expected))
@@ -107,20 +108,20 @@ def test_add(self):
         self.assertEqual(s.i, 'i')
 
     def test_iter(self):
-        expected = [self.b, self.a, self.c, self.d, self.e, self.f, self.g]
+        expected = [self.b, self.a, self.c, self.d, self.e, self.g, self.f]
         self.assertObjListEqual(self.session, expected)
 
     def test_filter(self):
         s = self.session
         s.ax = 'ax'
         self.assertObjListEqual(s.filter(), [self.b, self.a, 'c', {},
-                                             self.e, self.f, self.g, 'ax'])
+                                             self.e, self.g, self.f, 'ax'])
         self.assertEqual(list(s.filter('a')), [self.a, 'ax'])
         self.assertEqual(list(s.filter('a', dict)), [])
         self.assertEqual(list(s.filter('a', str)), ['ax'])
         self.assertEqual(list(s.filter('a', Axis)), [self.a])
         self.assertEqual(list(s.filter(kind=Axis)), [self.b, self.a])
-        self.assertObjListEqual(s.filter(kind=LArray), [self.e, self.f, self.g])
+        self.assertObjListEqual(s.filter(kind=LArray), [self.e, self.g, self.f])
         self.assertEqual(list(s.filter(kind=dict)), [{}])
 
     def test_names(self):
@@ -137,21 +138,21 @@ def test_h5_io(self):
         self.session.save(fpath)
         s = Session()
         s.load(fpath)
-        self.assertEqual(s.names, ['e', 'f', 'g'])
+        # HDF does *not* keep ordering (ie, keys are always sorted)
+        self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
 
         s = Session()
         s.load(fpath, ['e', 'f'])
-        self.assertEqual(s.names, ['e', 'f'])
+        self.assertEqual(list(s.keys()), ['e', 'f'])
 
     def test_xlsx_pandas_io(self):
         self.session.save(abspath('test_session.xlsx'), engine='pandas_excel')
 
         fpath = abspath('test_session_ef.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='pandas_excel')
-
         s = Session()
         s.load(fpath, engine='pandas_excel')
-        self.assertEqual(s.names, ['e', 'f'])
+        self.assertEqual(list(s.keys()), ['e', 'f'])
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
@@ -159,10 +160,9 @@ def test_xlsx_xlwings_io(self):
 
         fpath = abspath('test_session_ef_xw.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='xlwings_excel')
-
         s = Session()
         s.load(fpath, engine='xlwings_excel')
-        self.assertEqual(s.names, ['e', 'f'])
+        self.assertEqual(list(s.keys()), ['e', 'f'])
 
     def test_csv_io(self):
         fpath = abspath('test_session_csv')
@@ -170,7 +170,8 @@ def test_csv_io(self):
 
         s = Session()
         s.load(fpath, engine='pandas_csv')
-        self.assertEqual(s.names, ['e', 'f', 'g'])
+        # CSV cannot keep ordering (so we always sort keys)
+        self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
 
     def test_eq(self):
         sess = self.session.filter(kind=LArray)
@@ -181,16 +182,16 @@ def test_eq(self):
         res = sess == other
         self.assertEqual(res.ndim, 1)
         self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'f', 'g']))
-        self.assertEqual(list(res), [True, True, False])
+        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
+        self.assertEqual(list(res), [True, False, True])
 
         e2 = self.e.copy()
         e2.i[1, 1] = 42
         other = Session({'e': e2, 'f': self.f})
         res = sess == other
         self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'f', 'g']))
-        self.assertEqual(list(res), [False, True, False])
+        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
+        self.assertEqual(list(res), [False, False, True])
 
     def test_ne(self):
         sess = self.session.filter(kind=LArray)
@@ -200,16 +201,16 @@ def test_ne(self):
         other = Session({'e': self.e, 'f': self.f})
         res = sess != other
         self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'f', 'g']))
-        self.assertEqual(list(res), [False, False, True])
+        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
+        self.assertEqual(list(res), [False, True, False])
 
         e2 = self.e.copy()
         e2.i[1, 1] = 42
         other = Session({'e': e2, 'f': self.f})
         res = sess != other
         self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'f', 'g']))
-        self.assertEqual(list(res), [True, False, True])
+        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
+        self.assertEqual(list(res), [True, True, False])
 
     def test_sub(self):
         sess = self.session.filter(kind=LArray)
@@ -241,8 +242,8 @@ def test_summary(self):
         sess = self.session.filter(kind=LArray)
         self.assertEqual(sess.summary(),
                          "e: a0*, a1*\n    \n\n"
-                         "f: a0*, a1*\n    \n\n"
-                         "g: a0*, a1*\n    \n")
+                         "g: a0*, a1*\n    \n\n"
+                         "f: a0*, a1*\n    \n")
 
     def test_pickle_roundtrip(self):
         original = self.session

From 9db00acae8433d5b9fbe781bd88825545bd091d9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 3 May 2017 17:12:35 +0200
Subject: [PATCH 516/899] simplified Session.filter

---
 larray/session.py | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 392b0973c..50a7dd685 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -494,15 +494,12 @@ def filter(self, pattern=None, kind=None):
         Session
             The filtered session.
         """
+        items = self._objects.items()
         if pattern is not None:
-            items = [(k, self._objects[k]) for k in self._objects.keys()
-                     if check_pattern(k, pattern)]
-        else:
-            items = self._objects.items()
+            items = [(k, v) for k, v in items if check_pattern(k, pattern)]
         if kind is not None:
-            return Session([(k, v) for k, v in items if isinstance(v, kind)])
-        else:
-            return Session(items)
+            items = [(k, v) for k, v in items if isinstance(v, kind)]
+        return Session(items)
 
     @property
     def names(self):

From 64c84bc9fac7f85913285bc51f7385235d2a41c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 May 2017 08:18:50 +0200
Subject: [PATCH 517/899] implemented Session.to_pickle

---
 larray/session.py            | 53 +++++++++++++++++++++++++++++++++---
 larray/tests/test_session.py |  8 ++++++
 2 files changed, 57 insertions(+), 4 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 50a7dd685..b07f37510 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -8,9 +8,9 @@
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_equal, larray_nan_equal, get_axes
+from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_nan_equal, get_axes
 from .excel import open_excel
-from .utils import float_error_handler_factory
+from .utils import float_error_handler_factory, pickle
 
 
 def check_pattern(k, pattern):
@@ -224,17 +224,41 @@ def close(self):
         pass
 
 
+class PickleHandler(FileHandler):
+    def _open_for_read(self):
+        with open(self.fname, 'rb') as f:
+            self.data = pickle.load(f)
+
+    def _open_for_write(self):
+        self.data = OrderedDict()
+
+    def list(self):
+        return self.data.keys()
+
+    def _read_array(self, key):
+        return self.data[key]
+
+    def _dump(self, key, value):
+        self.data[key] = value
+
+    def close(self):
+        with open(self.fname, 'wb') as f:
+            pickle.dump(self.data, f)
+
+
 handler_classes = {
+    'pickle': PickleHandler,
+    'pandas_csv': PandasCSVHandler,
     'pandas_hdf': PandasHDFHandler,
     'pandas_excel': PandasExcelHandler,
     'xlwings_excel': XLWingsHandler,
-    'pandas_csv': PandasCSVHandler
 }
 
 ext_default_engine = {
+    'csv': 'pandas_csv',
     'h5': 'pandas_hdf', 'hdf': 'pandas_hdf',
+    'pkl': 'pickle', 'pickle': 'pickle',
     'xls': 'xlwings_excel', 'xlsx': 'xlwings_excel',
-    'csv': 'pandas_csv'
 }
 
 
@@ -363,6 +387,9 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         Loads array objects from a file.
 
+        WARNING: never load a file using the pickle engine (.pkl or .pickle) from an untrusted source, as it can lead
+        to arbitrary code execution.
+
         Parameters
         ----------
         fname : str
@@ -420,6 +447,23 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
             items = [(k, v) for k, v in items if k in names_set]
         handler.dump_arrays(items, display=display, **kwargs)
 
+    def to_pickle(self, fname, names=None, *args, **kwargs):
+        """
+        Dumps all array objects from the current session to a file using pickle.
+
+        WARNING: never load a pickle file (.pkl or .pickle) from an untrusted source, as it can lead to arbitrary code
+        execution.
+
+        Parameters
+        ----------
+        fname : str
+            Path for the dump.
+        names : list of str or None, optional
+            List of names of objects to dump. Defaults to all objects
+            present in the Session.
+        """
+        self.save(fname, names, ext_default_engine['pkl'], *args, **kwargs)
+
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
         warnings.warn("Method dump is deprecated. Use method save instead.", DeprecationWarning, stacklevel=2)
         self.save(fname, names, engine, display, **kwargs)
@@ -515,6 +559,7 @@ def names(self):
     def copy(self):
         """Returns a copy of the session.
         """
+        # this actually *does* a copy of the internal mapping (the mapping is not reused-as is)
         return Session(self._objects)
 
     def keys(self):
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 609fb53d4..b43229c8a 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -173,6 +173,14 @@ def test_csv_io(self):
         # CSV cannot keep ordering (so we always sort keys)
         self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
 
+    def test_pickle_io(self):
+        fpath = abspath('test_session.pkl')
+
+        self.session.save(fpath)
+        s = Session()
+        s.load(fpath, engine='pickle')
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
+
     def test_eq(self):
         sess = self.session.filter(kind=LArray)
         expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])

From 3372fb925f1d8be4f6a7f8b34c274d2b50f9aa07 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 May 2017 08:22:18 +0200
Subject: [PATCH 518/899] actually check the result of some Session IO to xlsx
 tests

(ie check that array order is preserved)
---
 larray/tests/test_session.py | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index b43229c8a..0dd3eff98 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -146,7 +146,11 @@ def test_h5_io(self):
         self.assertEqual(list(s.keys()), ['e', 'f'])
 
     def test_xlsx_pandas_io(self):
-        self.session.save(abspath('test_session.xlsx'), engine='pandas_excel')
+        fpath = abspath('test_session.xlsx')
+        self.session.save(fpath, engine='pandas_excel')
+        s = Session()
+        s.load(fpath, engine='pandas_excel')
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
         fpath = abspath('test_session_ef.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='pandas_excel')
@@ -156,7 +160,12 @@ def test_xlsx_pandas_io(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
-        self.session.save(abspath('test_session_xw.xlsx'), engine='xlwings_excel')
+        fpath = abspath('test_session_xw.xlsx')
+        self.session.save(fpath, engine='xlwings_excel')
+        s = Session()
+        s.load(fpath, engine='xlwings_excel')
+        # ordering is only kept if the file did not exist previously (otherwise the ordering is left intact)
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
         fpath = abspath('test_session_ef_xw.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='xlwings_excel')

From 9a5ee0f198c99b36502c7157f9708f0e33662488 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 4 May 2017 09:15:26 +0200
Subject: [PATCH 519/899] misc improvements to changelog

added more explanations for a few points, and moved stuff around
---
 doc/source/changes/version_0_22.rst.inc | 80 ++++++++++++++-----------
 1 file changed, 46 insertions(+), 34 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index f02e5566f..c3c7f5b81 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -1,8 +1,14 @@
 New features
 ------------
 
-* implemented a new describe() method on arrays to give quick summary statistics (excluding NaN values). By default,
-  it includes the number of values, mean, standard deviation, minimum, 25, 50 and 75 percentiles and maximum.
+* viewer: added a menu bar with the ability to clear the current session, save all its arrays to a file (.h5, .xlsx,
+  .pkl or a directory containing multiple .csv files), and load arrays from such a file (closes :issue:`88`).
+
+  WARNING: Only array objects are currently saved. It means that scalars, functions or others non-LArray objects
+  defined in the console are *not* saved in the file.
+
+* implemented a new describe() method on arrays to give quick summary statistics. By default, it includes the number of
+  non-NaN values, the mean, standard deviation, minimum, 25, 50 and 75 percentiles and maximum.
 
     >>> arr = ndrange('gender=Male,Female;year=2014..2020').astype(float)
     >>> arr
@@ -13,7 +19,7 @@
     statistic | count | mean |               std | min |  25% | 50% |  75% |  max
               |  14.0 |  6.5 | 4.031128874149275 | 0.0 | 3.25 | 6.5 | 9.75 | 13.0
 
-  an optional keyword argument allow to specify different percentiles to include
+  an optional keyword argument allows to specify different percentiles to include
 
     >>> arr.describe(percentiles=[20, 40, 60, 80])
     statistic | count | mean |               std | min | 20% | 40% | 60% |  80% |  max
@@ -34,7 +40,7 @@
 
   This closes :issue:`184`.
 
-* implemented reindex allowing to change order of labels (and add new ones) of one or several axes:
+* implemented reindex allowing to change the order of labels and add/remove some of them to one or several axes:
 
     >>> arr = ndtest((2, 2))
     >>> arr
@@ -52,12 +58,26 @@
      a1 | -1 |  3 |  2
      a2 | -1 | -1 | -1
      a0 | -1 |  1 |  0
+
+  using reindex one can make an array compatible with another array which has more/less labels or with labels in a
+  different order:
+
     >>> arr2 = ndtest((3, 3))
-    >>> arr.reindex(arr2.axes, fill_value=-1)
+    >>> arr2
     a\\b | b0 | b1 | b2
-     a0 |  0 |  1 | -1
-     a1 |  2 |  3 | -1
-     a2 | -1 | -1 | -1
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
+    >>> arr.reindex(arr2.axes, fill_value=0)
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  0
+     a1 |  2 |  3 |  0
+     a2 |  0 |  0 |  0
+    >>> arr.reindex(arr2.axes, fill_value=0) + arr2
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  2 |  2
+     a1 |  5 |  7 |  5
+     a2 |  6 |  7 |  8
 
   This closes :issue:`18`.
 
@@ -85,14 +105,6 @@
 
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
-* viewer: added a menu bar 'File' with options 'New', 'Open', 'Save', 'SaveAs', 'Open Recent' and 'Quit'.
-
-  WARNING: Only LArray objects are saved.
-
-  (closes :issue:`88`)
-
-* renamed dump, dump_hdf, dump_excel and dump_csv methods of class Session as save, to_hdf, to_excel and to_csv
-  (closes :issue:`217`)
 
 .. _misc:
 
@@ -108,6 +120,8 @@ Miscellaneous improvements
 
   (closes :issue:`152`)
 
+* renamed Session.dump, dump_hdf, dump_excel and dump_csv to save, to_hdf, to_excel and to_csv (closes :issue:`217`).
+
 * changed default value of `ddof` argument for var and std functions from 0 to 1 (closes :issue:`190`).
 
 * implemented a new syntax for stack(): `stack({label1: value1, label2: value2}, axis)`
@@ -193,6 +207,16 @@ Miscellaneous improvements
         Axis(['c0', 'c1', 'c2'], 'column')
     ])
 
+* added possibility to delete an array from a session:
+
+    >>> s = Session({'a': ndtest((3, 3)), 'b': ndtest((2, 4)), 'c': ndtest((4, 2))})
+    >>> s.names
+    ['a', 'b', 'c']
+    >>> del s.b
+    >>> del s['c']
+    >>> s.names
+    ['a']
+
 * made create_sequential axis argument accept axis definitions in addition to Axis objects like, for example, using a
   string definition (closes :issue:`160`).
 
@@ -222,30 +246,22 @@ Miscellaneous improvements
 
   will autocomplete to `s.a_nice_test_array` and `s['a_<tab>` will be completed to `s['a_nice_test_array`
 
-* added possibility to delete an array from a session:
-
-    >>> s = Session({'a': ndtest((3, 3)), 'b': ndtest((2, 4)), 'c': ndtest((4, 2))})
-    >>> s.names
-    ['a', 'b', 'c']
-    >>> del s.b
-    >>> del s['c']
-    >>> s.names
-    ['a']
-
 * made warning messages for division by 0 and invalid values (usually caused by 0 / 0) point to the user code line,
   instead of the corresponding line in the larray module.
 
+* preserve order of arrays in a session when saving to/loading from an .xlsx file.
+
+* when creating a session from a directory containing CSV files, the directory may now contain other (non-CSV) files.
+
 
 Fixes
 -----
 
 * fixed keyword arguments such as `out`, `ddof`, ... for aggregation functions (closes :issue:`189`).
 
-* fixed percentile(_by) with multiple percentiles values (i.e. when argument `q` is a list/tuple).
-  (closes :issue:`192`)
+* fixed percentile(_by) with multiple percentiles values, i.e. when argument `q` is a list/tuple (closes :issue:`192`).
 
-* fixed group aggregates on integer arrays for median, percentile, var and std
-  (closes :issue:`193`).
+* fixed group aggregates on integer arrays for median, percentile, var and std (closes :issue:`193`).
 
 * fixed group sum over boolean arrays (closes :issue:`194`).
 
@@ -259,8 +275,4 @@ Fixes
 * fixed Workbook behavior in case of new workbook: the first added sheet replaces the default sheet `Sheet1`
   (closes :issue:`230`).
 
-* fixed order of arrays in sessions loaded from files. The order is now the same as in the file.
-
-* fixed loading session from CSV files in a directory. The directory may contain other non-csv files.
-
 * fixed with_axes warning to refer to set_axes instead of replace_axes.

From b0358e5668929732644b015d075a619906b1747d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 10:55:54 +0200
Subject: [PATCH 520/899] fix #238 : update delete_current_item, _add_arrays
 and _clear_arrays in MappingEditor so as to include the update of kernel
 context

---
 larray/viewer.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 9858d6d7f..b08959dc7 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2197,7 +2197,10 @@ def update_mapping(self, value):
     @Slot()
     def delete_current_item(self):
         current_item = self._listwidget.currentItem()
-        del self.data[str(current_item.text())]
+        name = str(current_item.text())
+        del self.data[name]
+        if qtconsole_available:
+            self.kernel.shell.del_var(name)
         self._listwidget.takeItem(self._listwidget.row(current_item))
 
     def line_edit_update(self):
@@ -2293,12 +2296,17 @@ def _add_arrays(self, arrays):
         for k, v in arrays.items():
             self.data[k] = v
             self.add_list_item(k)
+        if qtconsole_available:
+            self.kernel.shell.push(dict(arrays))
 
     def _clear_arrays(self):
         arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
         for name in arrays:
             del self.data[name]
             self.delete_list_item(name)
+        if qtconsole_available:
+            for name in arrays:
+                self.kernel.shell.del_var(name)
 
     def _is_unsaved_modifications(self):
         if self.arraywidget.model.readonly:
@@ -2952,7 +2960,9 @@ def restore_display_hook():
     # compare(arr3, arr4, arr5, arr6)
 
     # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
-    edit()
+    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
+                     data2=data2, data3=data3)
+    edit(ses)
 
     # s = la.local_arrays()
     # view(s)

From 641fe86e3f0102b986f4fa7a9608b5e3dde22cb0 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 11:11:14 +0200
Subject: [PATCH 521/899] fix #239 : filter extension in open method of
 MappingEditor (Excel + HDF)

---
 larray/viewer.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index b08959dc7..17312b0f4 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2350,12 +2350,13 @@ def _open_file(self, filepath):
     @Slot()
     def open(self):
         if self._ask_to_save_if_unsaved_modifications():
+            filter = "All (*.xls *xlsx *.h5);;Excel Files (*.xls *xlsx);;HDF Files (*.h5)"
             # Qt5 returns a tuple (filepath, '') instead of a string
             if PYQT5:
-                filepath, _ = QFileDialog.getOpenFileName(self)
+                filepath, _ = QFileDialog.getOpenFileName(self, filter=filter)
             else:
-                filepath = QFileDialog.getOpenFileName(self)
-            if isinstance(filepath, str):
+                filepath = QFileDialog.getOpenFileName(self, filter=filter)
+            if isinstance(filepath, str) and os.path.exists(filepath):
                 self._open_file(filepath)
 
     @Slot()

From 9d82d23c60ec62c6134adabdf2c49410d82726f4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 11:30:19 +0200
Subject: [PATCH 522/899] updated changelog (0.22) --> bug fix (238 + 239)

---
 doc/source/changes/version_0_22.rst.inc | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index c3c7f5b81..da0292d60 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -276,3 +276,7 @@ Fixes
   (closes :issue:`230`).
 
 * fixed with_axes warning to refer to set_axes instead of replace_axes.
+
+* fixed updating kernel context when opening a new or loading a session in viewer (closes :issue:`238`).
+
+* fixed filter extension in open method of MappingEditor (Excel + HDF) (closes :issue:`239`.
\ No newline at end of file

From 4c2ff9dfebc86eee3bc83e82d9fd1a0ac8cb50e5 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 15:12:24 +0200
Subject: [PATCH 523/899] (viewer) allowed to select several CSV files to
 create a new session with open().  Currently, only one Excel or HDF file can
 be loaded at a time.  In the future, user will be able to open several
 sessions in the same time by selecting several Excel/HDF files.

---
 larray/viewer.py | 39 ++++++++++++++++++++++++++++-----------
 1 file changed, 28 insertions(+), 11 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 17312b0f4..f131986bb 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2340,24 +2340,41 @@ def new(self):
     def _open_file(self, filepath):
         # XXX : clear console history ?
         self._clear_arrays()
-        session = la.Session(filepath)
+        session = la.Session()
+        if '.csv' in filepath:
+            filepath = [filepath]
+        if isinstance(filepath, (list, tuple)):
+            directory = os.path.dirname(filepath[0])
+            names = [os.path.splitext(os.path.basename(fp))[0] for fp in filepath]
+            session.load(directory, names)
+            for name in names:
+                self.set_current_file('{}/{}.csv'.format(directory, name))
+            self.statusBar().showMessage("Arrays {} from CSV files loaded".format(' ,'.join(names)), 4000)
+        else:
+            session.load(filepath)
+            self.set_current_file(filepath)
+            self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
         self._add_arrays(session)
         self._listwidget.setCurrentRow(0)
-        self.set_current_file(filepath)
         self._unsaved_modifications = False
-        self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
 
     @Slot()
     def open(self):
         if self._ask_to_save_if_unsaved_modifications():
-            filter = "All (*.xls *xlsx *.h5);;Excel Files (*.xls *xlsx);;HDF Files (*.h5)"
-            # Qt5 returns a tuple (filepath, '') instead of a string
+            filter = "All (*.xls *xlsx *.h5 *.csv);;Excel Files (*.xls *xlsx);;HDF Files (*.h5);;CSV Files (*.csv)"
+            # Qt5 returns a tuple (filepaths, '') instead of a string
             if PYQT5:
-                filepath, _ = QFileDialog.getOpenFileName(self, filter=filter)
+                filepaths, _ = QFileDialog.getOpenFileNames(self, filter=filter)
             else:
-                filepath = QFileDialog.getOpenFileName(self, filter=filter)
-            if isinstance(filepath, str) and os.path.exists(filepath):
-                self._open_file(filepath)
+                filepaths = QFileDialog.getOpenFileNames(self, filter=filter)
+            if len(filepaths) >= 1:
+                if all(['.csv' in filepath for filepath in filepaths]):
+                    self._open_file(filepaths)
+                elif len(filepaths) == 1:
+                    self._open_file(filepaths[0])
+                else:
+                    QMessageBox.critical(self, "Error",
+                                         "It possible to load several CSV files or one Excel or HDF file")
 
     @Slot()
     def open_recent_file(self):
@@ -2365,10 +2382,10 @@ def open_recent_file(self):
             action = self.sender()
             if action:
                 filepath = action.data()
-                if os.path.isfile(filepath):
+                if os.path.exists(filepath):
                     self._open_file(filepath)
                 else:
-                    QMessageBox.warning(self, "Warning", "File not found")
+                    QMessageBox.warning(self, "Warning", "File {} could not be found".format(filepath))
 
     def _save_data(self, filepath):
         session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})

From 15782749046e38fdf717580b9a4be93dc4a67a88 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 15:14:47 +0200
Subject: [PATCH 524/899] Revert "updated changelog (0.22) --> bug fix (238 +
 239)"

This reverts commit 4d8cf5c6159af4d17495f612a99c0630c9d5ec26.
---
 doc/source/changes/version_0_22.rst.inc | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index da0292d60..c3c7f5b81 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -276,7 +276,3 @@ Fixes
   (closes :issue:`230`).
 
 * fixed with_axes warning to refer to set_axes instead of replace_axes.
-
-* fixed updating kernel context when opening a new or loading a session in viewer (closes :issue:`238`).
-
-* fixed filter extension in open method of MappingEditor (Excel + HDF) (closes :issue:`239`.
\ No newline at end of file

From d9f59efeed0ea09dbad6f2669d7c904ccf8765a6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 3 May 2017 15:19:44 +0200
Subject: [PATCH 525/899] removed unnecessary @Slot() in MappingEditor class

---
 larray/viewer.py | 7 -------
 1 file changed, 7 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index f131986bb..6927fc83b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2194,7 +2194,6 @@ def update_mapping(self, value):
             self.select_list_item(to_display)
         return to_display
 
-    @Slot()
     def delete_current_item(self):
         current_item = self._listwidget.currentItem()
         name = str(current_item.text())
@@ -2328,7 +2327,6 @@ def _ask_to_save_if_unsaved_modifications(self):
         else:
             return True
 
-    @Slot()
     def new(self):
         if self._ask_to_save_if_unsaved_modifications():
             self._clear_arrays()
@@ -2358,7 +2356,6 @@ def _open_file(self, filepath):
         self._listwidget.setCurrentRow(0)
         self._unsaved_modifications = False
 
-    @Slot()
     def open(self):
         if self._ask_to_save_if_unsaved_modifications():
             filter = "All (*.xls *xlsx *.h5 *.csv);;Excel Files (*.xls *xlsx);;HDF Files (*.h5);;CSV Files (*.csv)"
@@ -2376,7 +2373,6 @@ def open(self):
                     QMessageBox.critical(self, "Error",
                                          "It possible to load several CSV files or one Excel or HDF file")
 
-    @Slot()
     def open_recent_file(self):
         if self._ask_to_save_if_unsaved_modifications():
             action = self.sender()
@@ -2394,7 +2390,6 @@ def _save_data(self, filepath):
         self._unsaved_modifications = False
         self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
 
-    @Slot()
     def save(self):
         if self.currentFile is not None:
             self._save_data(self.currentFile)
@@ -2402,7 +2397,6 @@ def save(self):
             self.save_as()
         return True
 
-    @Slot()
     def save_as(self):
         dialog = QFileDialog(self)
         dialog.setWindowModality(Qt.WindowModal)
@@ -2414,7 +2408,6 @@ def save_as(self):
             self._save_data(dialog.selectedFiles()[0])
             return True
 
-    @Slot()
     def open_documentation(self):
         QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
 

From 68a9b853fffeb4a09616310deaaa5220e388a514 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 10:05:30 +0200
Subject: [PATCH 526/899] made shortcuts associated with menubar working even
 if the focus is not on the main window.

removed unnecessary QKeySequence(...)
---
 larray/viewer.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 6927fc83b..fe56b4194 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -198,7 +198,7 @@ def create_action(parent, text, icon=None, triggered=None, shortcut=None, status
         action.setShortcut(shortcut)
     if statustip is not None:
         action.setStatusTip(statustip)
-    action.setShortcutContext(Qt.WidgetShortcut)
+    # action.setShortcutContext(Qt.WidgetShortcut)
     return action
 
 
@@ -986,7 +986,7 @@ def setup_context_menu(self):
                                          icon=ima.icon('edit-copy'),
                                          triggered=self.copy)
         self.excel_action = create_action(self, _('Copy to Excel'),
-                                          shortcut=QKeySequence("Ctrl+E"),
+                                          shortcut="Ctrl+E",
                                           # icon=ima.icon('edit-copy'),
                                           triggered=self.to_excel)
         self.paste_action = create_action(self, _('Paste'),
@@ -1031,7 +1031,7 @@ def keyPressEvent(self, event):
             self.paste()
         elif keyseq == QKeySequence.Print:
             self.plot()
-        elif keyseq == QKeySequence("Ctrl+E"):
+        elif keyseq == "Ctrl+E":
             self.to_excel()
         # allow to start editing cells by pressing Enter
         elif event.key() == Qt.Key_Return and not self.model().readonly:
@@ -2100,17 +2100,17 @@ def void_formatter(array, *args, **kwargs):
     def setup_menu_bar(self):
         """Setup menu bar"""
         menu_bar = self.menuBar()
-        file_menu = menu_bar.addMenu('File')
+        file_menu = menu_bar.addMenu('&File')
 
-        file_menu.addAction(create_action(self, _('New'), shortcut=QKeySequence("Ctrl+N"), triggered=self.new))
-        file_menu.addAction(create_action(self, _('Open'), shortcut=QKeySequence("Ctrl+O"), triggered=self.open,
+        file_menu.addAction(create_action(self, _('&New'), shortcut="Ctrl+N", triggered=self.new))
+        file_menu.addAction(create_action(self, _('&Open'), shortcut="Ctrl+O", triggered=self.open,
                                           statustip=_('Load session from file')))
-        file_menu.addAction(create_action(self, _('Save'), shortcut=QKeySequence("Ctrl+S"), triggered=self.save,
+        file_menu.addAction(create_action(self, _('&Save'), shortcut="Ctrl+S", triggered=self.save,
                                           statustip=_('Save all arrays as a session in a file')))
-        file_menu.addAction(create_action(self, _('Save As'), triggered=self.save_as,
+        file_menu.addAction(create_action(self, _('Save &As'), triggered=self.save_as,
                                           statustip=_('Save all arrays as a session in a file')))
 
-        recentFilesMenu = file_menu.addMenu("Open Recent")
+        recentFilesMenu = file_menu.addMenu("Open &Recent")
         for action in self.recentFileActs:
             action.setVisible(False)
             action.triggered.connect(self.open_recent_file)
@@ -2118,11 +2118,11 @@ def setup_menu_bar(self):
         self.update_recent_file_actions()
 
         file_menu.addSeparator()
-        file_menu.addAction(create_action(self, _('Quit'), shortcut=QKeySequence("Ctrl+Q"),
+        file_menu.addAction(create_action(self, _('&Quit'), shortcut="Ctrl+Q",
                                           triggered=self.close))
 
-        help_menu = menu_bar.addMenu('Help')
-        help_menu.addAction(create_action(self, _('online documentation'), shortcut=QKeySequence("Ctrl+H"),
+        help_menu = menu_bar.addMenu('&Help')
+        help_menu.addAction(create_action(self, _('Online documentation'), shortcut="Ctrl+H",
                                           triggered=self.open_documentation))
 
     def add_list_item(self, name):

From 3e63146d0658a92c82a231d13a6950649a98bbd9 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 11:26:57 +0200
Subject: [PATCH 527/899] Modified the PandasCSVHandler class so as to allow to
 pass directly the full path of a CVS file to _read_array() and _dump()

---
 larray/session.py | 21 +++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index b07f37510..47bc010a8 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -202,23 +202,28 @@ def _open_for_read(self):
         pass
 
     def _open_for_write(self):
-        try:
-            os.makedirs(self.fname)
-        except OSError:
-            if not os.path.isdir(self.fname):
-                raise
+        if self.fname is not None:
+            try:
+                os.makedirs(self.fname)
+            except OSError:
+                if not os.path.isdir(self.fname):
+                    raise ValueError("Path {} must represent a directory".format(self.fname))
 
     def list(self):
         # strip extension from files
         # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
-        return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
+        if self.fname is not None:
+            return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
+        else:
+            return []
 
     def _read_array(self, key, *args, **kwargs):
-        fpath = os.path.join(self.fname, '{}.csv'.format(key))
+        fpath = os.path.join(self.fname, '{}.csv'.format(key)) if self.fname is not None else key
         return read_csv(fpath, *args, **kwargs)
 
     def _dump(self, key, value, *args, **kwargs):
-        value.to_csv(os.path.join(self.fname, '{}.csv'.format(key)), *args, **kwargs)
+        fpath = os.path.join(self.fname, '{}.csv'.format(key)) if self.fname is not None else key
+        value.to_csv(fpath, *args, **kwargs)
 
     def close(self):
         pass

From b25c23235d92cd04d7e5dbdc0cc696342fb6c729 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 12:10:28 +0200
Subject: [PATCH 528/899] updated Session.load and MappingEditor._open_file to
 be able to pass a list of CSV files instead of directory + names

---
 larray/session.py | 15 +++++++++++----
 larray/viewer.py  | 11 +++++------
 2 files changed, 16 insertions(+), 10 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index 47bc010a8..c75ce26ce 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -92,7 +92,10 @@ def read_arrays(self, keys, *args, **kwargs):
         for key in keys:
             if display:
                 print("loading", key, "...", end=' ')
-            dest_key = key.strip('/')
+            if os.path.isfile(key):
+                dest_key = os.path.splitext(os.path.basename(key))[0]
+            else:
+                dest_key = key.strip('/')
             res[dest_key] = self._read_array(key, *args, **kwargs)
             if display:
                 print("done")
@@ -400,8 +403,8 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         fname : str
             Path to the file.
         names : list of str, optional
-            List of arrays to load. Defaults to all valid objects present in
-            the file/directory.
+            List of arrays to load. If `fname` is None, list of paths to CSV files.
+            Defaults to all valid objects present in the file/directory.
         engine : str, optional
             Load using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
@@ -411,7 +414,11 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
         if display:
             print("opening", fname)
-        # TODO: support path + *.csv
+        if fname is None:
+            if all([os.path.splitext(name)[1] == '.csv' for name in names]):
+                engine = ext_default_engine['csv']
+            else:
+                raise ValueError("List of paths to only CSV files expected. Got {}".format(names))
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
             ext = ext.strip('.') if '.' in ext else 'csv'
diff --git a/larray/viewer.py b/larray/viewer.py
index fe56b4194..38197e37b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2342,12 +2342,11 @@ def _open_file(self, filepath):
         if '.csv' in filepath:
             filepath = [filepath]
         if isinstance(filepath, (list, tuple)):
-            directory = os.path.dirname(filepath[0])
-            names = [os.path.splitext(os.path.basename(fp))[0] for fp in filepath]
-            session.load(directory, names)
-            for name in names:
-                self.set_current_file('{}/{}.csv'.format(directory, name))
-            self.statusBar().showMessage("Arrays {} from CSV files loaded".format(' ,'.join(names)), 4000)
+            session.load(None, filepath)
+            for fpath in filepath:
+                self.set_current_file(fpath)
+                basenames = [os.path.basename(fpath) for fpath in filepath]
+            self.statusBar().showMessage("CSV files {} loaded".format(' ,'.join(basenames)), 4000)
         else:
             session.load(filepath)
             self.set_current_file(filepath)

From 66bcdbaa834ab24c75588778ae604a04cc13ec8c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 14:12:56 +0200
Subject: [PATCH 529/899] refactored set_current_file as update_recent_files +
 set_current_file in MappingEditor

---
 larray/viewer.py | 27 +++++++++++++++------------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 38197e37b..0819f7310 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2343,9 +2343,8 @@ def _open_file(self, filepath):
             filepath = [filepath]
         if isinstance(filepath, (list, tuple)):
             session.load(None, filepath)
-            for fpath in filepath:
-                self.set_current_file(fpath)
-                basenames = [os.path.basename(fpath) for fpath in filepath]
+            self.update_recent_files(filepath)
+            basenames = [os.path.basename(fpath) for fpath in filepath]
             self.statusBar().showMessage("CSV files {} loaded".format(' ,'.join(basenames)), 4000)
         else:
             session.load(filepath)
@@ -2370,7 +2369,7 @@ def open(self):
                     self._open_file(filepaths[0])
                 else:
                     QMessageBox.critical(self, "Error",
-                                         "It possible to load several CSV files or one Excel or HDF file")
+                                         "Only several CSV files can be loaded in the same time")
 
     def open_recent_file(self):
         if self._ask_to_save_if_unsaved_modifications():
@@ -2411,14 +2410,18 @@ def open_documentation(self):
         QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
 
     def set_current_file(self, filepath):
-        self.currentFile = filepath
-        if filepath is not None:
-            settings = QSettings()
-            files = settings.value("recentFileList")
-            if filepath in files:
-                files.remove(filepath)
-            files = [filepath] + files[:self.MAX_RECENT_FILES-1]
-            settings.setValue("recentFileList", files)
+        self.update_recent_files([filepath])
+
+    def update_recent_files(self, filepaths):
+        settings = QSettings()
+        files = settings.value("recentFileList")
+        for filepath in filepaths:
+            if filepath is not None:
+                self.currentFile = filepath
+                if filepath in files:
+                    files.remove(filepath)
+                files = [filepath] + files
+        settings.setValue("recentFileList", files[:self.MAX_RECENT_FILES])
         self.update_recent_file_actions()
 
     def update_recent_file_actions(self):

From 60d93a21d30be742f1f1bc8bf76f0ea0c0b3ec59 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 17:15:29 +0200
Subject: [PATCH 530/899] implemented _reset() in MappingEditor class and
 replaced call to _clear_arrays() in new() and _open_file() by call to
 _reset()

---
 larray/viewer.py | 15 ++++++++++++---
 1 file changed, 12 insertions(+), 3 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 0819f7310..8d00aa348 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2097,6 +2097,16 @@ def void_formatter(array, *args, **kwargs):
         self.setWindowFlags(Qt.Window)
         return True
 
+    def _reset(self):
+        self.data = la.Session()
+        if qtconsole_available:
+            self.kernel.shell.reset()
+            self.kernel.shell.run_cell('from larray import *')
+            self.ipython_cell_executed()
+        else:
+            self.eval_box.setText('')
+            self.line_edit_update()
+
     def setup_menu_bar(self):
         """Setup menu bar"""
         menu_bar = self.menuBar()
@@ -2329,15 +2339,14 @@ def _ask_to_save_if_unsaved_modifications(self):
 
     def new(self):
         if self._ask_to_save_if_unsaved_modifications():
-            self._clear_arrays()
+            self._reset()
             self.arraywidget.set_data(la.zeros(0))
             self.set_current_file(None)
             self._unsaved_modifications = False
             self.statusBar().showMessage("Viewer has been reset", 4000)
 
     def _open_file(self, filepath):
-        # XXX : clear console history ?
-        self._clear_arrays()
+        self._reset()
         session = la.Session()
         if '.csv' in filepath:
             filepath = [filepath]

From 9fedfd402664997947df0a39101db4a465569d57 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 4 May 2017 17:32:45 +0200
Subject: [PATCH 531/899] updated _open_file(), set_current_file() and
 update_recent_files()

---
 larray/viewer.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 8d00aa348..1508162f9 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2353,6 +2353,7 @@ def _open_file(self, filepath):
         if isinstance(filepath, (list, tuple)):
             session.load(None, filepath)
             self.update_recent_files(filepath)
+            self.currentFile = os.path.dirname(filepath[0])
             basenames = [os.path.basename(fpath) for fpath in filepath]
             self.statusBar().showMessage("CSV files {} loaded".format(' ,'.join(basenames)), 4000)
         else:
@@ -2420,13 +2421,13 @@ def open_documentation(self):
 
     def set_current_file(self, filepath):
         self.update_recent_files([filepath])
+        self.currentFile = filepath
 
     def update_recent_files(self, filepaths):
         settings = QSettings()
         files = settings.value("recentFileList")
         for filepath in filepaths:
             if filepath is not None:
-                self.currentFile = filepath
                 if filepath in files:
                     files.remove(filepath)
                 files = [filepath] + files

From f526504c2eeb9042e82e2071774d7db6a57b8ba3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=3F=C3=82=C2=ABtan=20de=20Menten?=
 <gdementen@gmail.com>
Date: Mon, 8 May 2017 10:53:25 +0200
Subject: [PATCH 532/899] delegate excel.Sheet.__setattr__ to underlying
 xw.Sheet

the immediate goal is to allow renaming sheets using sheet.name = 'new_name'
---
 doc/source/changes/version_0_22.rst.inc |  5 +++++
 larray/excel.py                         | 14 +++++++-------
 larray/tests/test_excel.py              | 21 +++++++++++++++++++++
 3 files changed, 33 insertions(+), 7 deletions(-)
 create mode 100644 larray/tests/test_excel.py

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index c3c7f5b81..91605ca12 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -105,6 +105,11 @@
 
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
+* Excel sheets opened via open_excel can be renamed by changing their .name attribute:
+
+    >>> wb = open_excel()
+    >>> wb['old_name'].name = 'new_name'
+
 
 .. _misc:
 
diff --git a/larray/excel.py b/larray/excel.py
index 4f2af291a..336169d66 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -7,7 +7,6 @@
     xw = None
 
 from .core import LArray, df_aslarray, Axis, from_lists
-from .utils import unique, basestring
 
 string_types = (str,)
 
@@ -29,7 +28,6 @@ def write_value(cls, value, options):
             df = value.to_frame(fold_last_axis_name=True)
             return PandasDataFrameConverter.write_value(df, options)
 
-
     LArrayConverter.register(LArray)
 
 
@@ -79,9 +77,8 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     if not os.path.isfile(filepath):
                         self.new_workbook = True
                 else:
-                    # try to target an open but unsaved workbook
-                    # we cant use the same code path as for other option
-                    # because we don't know which Excel instance has that book
+                    # try to target an open but unsaved workbook. We cannot use the same code path as for other options
+                    # because we do not know which Excel instance has that book
                     xw_wkb = xw.Book(filepath)
                     app = xw_wkb.app
 
@@ -233,7 +230,7 @@ class Sheet(object):
         def __init__(self, workbook, key, xw_sheet=None):
             if xw_sheet is None:
                 xw_sheet = workbook.xw_wkb.sheets[key]
-            self.xw_sheet = xw_sheet
+            object.__setattr__(self, 'xw_sheet', xw_sheet)
 
         # TODO: we can probably scrap this for xlwings 0.9+. We need to have
         #       a unit test for this though.
@@ -279,6 +276,9 @@ def __dir__(self):
         def __getattr__(self, key):
             return getattr(self.xw_sheet, key)
 
+        def __setattr__(self, key, value):
+            setattr(self.xw_sheet, key, value)
+
         # TODO: add convert_float argument
         def load(self, header=True, nb_index=None, index_col=None):
             return self[:].load(header=header, nb_index=nb_index, index_col=index_col)
@@ -382,7 +382,7 @@ def __getattr__(self, key):
                 return getattr(self.xw_range, key)
 
         def __setattr__(self, key, value):
-            return setattr(self.xw_range, key, value)
+            setattr(self.xw_range, key, value)
 
         # TODO: implement all binops
         # def __mul__(self, other):
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
new file mode 100644
index 000000000..efe18a529
--- /dev/null
+++ b/larray/tests/test_excel.py
@@ -0,0 +1,21 @@
+from __future__ import absolute_import, division, print_function
+
+from unittest import TestCase
+
+import pytest
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
+
+from larray import open_excel
+
+
+@pytest.mark.skipif(xw is None, reason="xlwings is not available")
+class TestExcel(TestCase):
+    def test_rename(self):
+        with open_excel(visible=False) as wb:
+            # create sheet
+            wb['new'] = 'hello world'
+            wb['new'].name = 'renamed'
+            assert wb.sheet_names() == ['renamed']

From d6e739c225318a5e33b7d7bda8de9191a4288010 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 8 May 2017 11:58:26 +0200
Subject: [PATCH 533/899] implemented excel.Workbook.__delitem__

---
 doc/source/changes/version_0_22.rst.inc |  9 +++++++--
 larray/excel.py                         |  3 +++
 larray/tests/test_excel.py              | 18 +++++++++++++++---
 3 files changed, 25 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 91605ca12..513ec8c52 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -105,10 +105,15 @@
 
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
-* Excel sheets opened via open_excel can be renamed by changing their .name attribute:
+* Excel sheets in workbooks opened via open_excel can be renamed by changing their .name attribute:
 
     >>> wb = open_excel()
-    >>> wb['old_name'].name = 'new_name'
+    >>> wb['old_sheet_name'].name = 'new_sheet_name'
+
+* Excel sheets in workbooks opened via open_excel can be deleted using "del":
+
+    >>> wb = open_excel()
+    >>> del wb['sheet_name']
 
 
 .. _misc:
diff --git a/larray/excel.py b/larray/excel.py
index 336169d66..e23b1c0ce 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -175,6 +175,9 @@ def __setitem__(self, key, value):
                 sheet = Sheet(None, None, xw_sheet=xw_sheet)
             sheet["A1"] = value
 
+        def __delitem__(self, key):
+            self[key].delete()
+
         def sheet_names(self):
             return [s.name for s in self]
 
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index efe18a529..70d435087 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -13,9 +13,21 @@
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
 class TestExcel(TestCase):
+    def test_setitem(self):
+        with open_excel(visible=False) as wb:
+            wb['sheet_name'] = 'sheet content'
+            assert wb.sheet_names() == ['sheet_name']
+
+    def test_delitem(self):
+        with open_excel(visible=False) as wb:
+            wb['sheet1'] = 'sheet1 content'
+            wb['sheet2'] = 'sheet2 content'
+            del wb['sheet1']
+            assert wb.sheet_names() == ['sheet2']
+
     def test_rename(self):
         with open_excel(visible=False) as wb:
-            # create sheet
-            wb['new'] = 'hello world'
-            wb['new'].name = 'renamed'
+            wb['sheet_name'] = 'sheet content'
+            wb['sheet_name'].name = 'renamed'
             assert wb.sheet_names() == ['renamed']
+

From c5dc5b1b362061d89c95820e2b511ab99786b861 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 8 May 2017 12:27:44 +0200
Subject: [PATCH 534/899] fixed name of Workbook sheets created by copying
 another sheet (closes #244)

---
 doc/source/changes/version_0_22.rst.inc |  5 +++++
 larray/excel.py                         | 25 ++++++++++++++-----------
 larray/tests/test_excel.py              | 21 +++++++++++++++++++--
 3 files changed, 38 insertions(+), 13 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 513ec8c52..ebe7248e1 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -285,4 +285,9 @@ Fixes
 * fixed Workbook behavior in case of new workbook: the first added sheet replaces the default sheet `Sheet1`
   (closes :issue:`230`).
 
+* fixed name of Workbook sheets created by copying another sheet (closes :issue:`244`).
+
+    >>> wb = open_excel()
+    >>> wb['name_of_new_sheet'] = wb['name_of_sheet_to_copy']
+
 * fixed with_axes warning to refer to set_axes instead of replace_axes.
diff --git a/larray/excel.py b/larray/excel.py
index e23b1c0ce..a4b40b993 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -155,19 +155,22 @@ def __setitem__(self, key, value):
             if self.new_workbook:
                 self.xw_wkb.sheets[0].name = key
                 self.new_workbook = False
+            key_in_self = key in self
             if isinstance(value, Sheet):
-                if key in self:
-                    xw_sheet = self[key].xw_sheet
-                    # avoid having the sheet name renamed to "name (1)"
-                    xw_sheet.name = '__tmp__'
-                    # add new sheet before sheet to overwrite
-                    value.xw_sheet.api.Copy(xw_sheet.api)
-                    xw_sheet.delete()
-                else:
-                    xw_sheet = self[-1]
-                    value.xw_sheet.api.Copy(xw_sheet.api)
+                # xlwings index is 1-based
+                # TODO: implement Workbook.index(key)
+                target_idx = self[key].xw_sheet.index - 1 if key_in_self else -1
+                target_sheet = self[target_idx].xw_sheet
+                # add new sheet after target sheet. The new sheet will be named something like "value.name (1)" but I
+                # do not think there is anything we can do about this, except rename it afterwards because Copy has no
+                # name argument. See https://msdn.microsoft.com/en-us/library/office/ff837784.aspx
+                value.xw_sheet.api.Copy(None, target_sheet.api)
+                if key_in_self:
+                    target_sheet.delete()
+                # rename the new sheet
+                self[target_idx].name = key
                 return
-            if key in self:
+            if key_in_self:
                 sheet = self[key]
                 sheet.clear()
             else:
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 70d435087..3833f1099 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -15,8 +15,25 @@
 class TestExcel(TestCase):
     def test_setitem(self):
         with open_excel(visible=False) as wb:
-            wb['sheet_name'] = 'sheet content'
-            assert wb.sheet_names() == ['sheet_name']
+            # sheet did not exist, str value
+            wb['sheet1'] = 'sheet1 content'
+            wb['sheet2'] = 'sheet2 content'
+            assert wb.sheet_names() == ['sheet1', 'sheet2']
+
+            # sheet did exist, str value
+            wb['sheet2'] = 'sheet2 content v2'
+            assert wb.sheet_names() == ['sheet1', 'sheet2']
+            assert wb['sheet2']['A1'].value == 'sheet2 content v2'
+
+            # sheet did not exist, Sheet value
+            wb['sheet3'] = wb['sheet1']
+            assert wb.sheet_names() == ['sheet1', 'sheet2', 'sheet3']
+            assert wb['sheet3']['A1'].value == 'sheet1 content'
+
+            # sheet did exist, Sheet value
+            wb['sheet2'] = wb['sheet1']
+            assert wb.sheet_names() == ['sheet1', 'sheet2', 'sheet3']
+            assert wb['sheet2']['A1'].value == 'sheet1 content'
 
     def test_delitem(self):
         with open_excel(visible=False) as wb:

From d7d5a9de3b2bbe569209a3975152bd08527da0dd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 8 May 2017 13:50:56 +0200
Subject: [PATCH 535/899] add self._listwidget.clear() in _reset() method of
 MappingEditor

---
 larray/viewer.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/viewer.py b/larray/viewer.py
index 1508162f9..54f91e42c 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2099,6 +2099,7 @@ def void_formatter(array, *args, **kwargs):
 
     def _reset(self):
         self.data = la.Session()
+        self._listwidget.clear()
         if qtconsole_available:
             self.kernel.shell.reset()
             self.kernel.shell.run_cell('from larray import *')

From 121c98e9cded6b466304789b8b4c8417cb84d3f9 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 8 May 2017 13:56:32 +0200
Subject: [PATCH 536/899] save only directory path if laoding csv file(s)  in
 _open_file method of MappingEditor

---
 larray/viewer.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 54f91e42c..4dfcfb282 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2353,9 +2353,9 @@ def _open_file(self, filepath):
             filepath = [filepath]
         if isinstance(filepath, (list, tuple)):
             session.load(None, filepath)
-            self.update_recent_files(filepath)
-            self.currentFile = os.path.dirname(filepath[0])
+            dirname = os.path.dirname(filepath[0])
             basenames = [os.path.basename(fpath) for fpath in filepath]
+            self.set_current_file(dirname)
             self.statusBar().showMessage("CSV files {} loaded".format(' ,'.join(basenames)), 4000)
         else:
             session.load(filepath)

From ca67bd315303495ad29e8b6477a42ec741fb808a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 8 May 2017 15:15:04 +0200
Subject: [PATCH 537/899] changelog 0.22 --> removed .pkl from the first entry

---
 doc/source/changes/version_0_22.rst.inc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index ebe7248e1..ba0bb831b 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -2,7 +2,7 @@
 ------------
 
 * viewer: added a menu bar with the ability to clear the current session, save all its arrays to a file (.h5, .xlsx,
-  .pkl or a directory containing multiple .csv files), and load arrays from such a file (closes :issue:`88`).
+  or a directory containing multiple .csv files), and load arrays from such a file (closes :issue:`88`).
 
   WARNING: Only array objects are currently saved. It means that scalars, functions or others non-LArray objects
   defined in the console are *not* saved in the file.

From 8648e2fe22027b36f8ba5cae76cd32c75b30d8de Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 9 May 2017 14:01:51 +0200
Subject: [PATCH 538/899] (documentation) included new implemented and renamed
 methods/functions in api.rst

---
 doc/source/api.rst | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index b3d07ed27..c1b6c8ad2 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -271,6 +271,8 @@ Aggregation Functions
    LArray.with_total
    LArray.percent
    LArray.growth_rate
+   LArray.describe
+   LArray.describe_by
 
 .. _la_sorting:
 
@@ -296,6 +298,7 @@ Reshaping/Extending/Reordering
    LArray.reshape
    LArray.reshape_like
    LArray.compact
+   LArray.reindex
    LArray.transpose
    LArray.expand
    LArray.prepend
@@ -428,10 +431,11 @@ Session
    Session.add
    Session.get
    Session.load
-   Session.dump
-   Session.dump_csv
-   Session.dump_excel
-   Session.dump_hdf
+   Session.save
+   Session.to_csv
+   Session.to_excel
+   Session.to_hdf
+   Session.to_pickle
    Session.filter
    Session.compact
    Session.copy

From 4f3dc84d25da3c340c26396fa7790f8e4f5979fa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 8 May 2017 15:01:02 +0200
Subject: [PATCH 539/899] improved error message when trying to copy a sheet
 from one instance of Excel to another (closes #231)

---
 doc/source/changes/version_0_22.rst.inc | 2 ++
 larray/excel.py                         | 3 +++
 larray/tests/test_excel.py              | 9 ++++++---
 3 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index ba0bb831b..97c3785ae 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -263,6 +263,8 @@ Miscellaneous improvements
 
 * when creating a session from a directory containing CSV files, the directory may now contain other (non-CSV) files.
 
+* improved error message when trying to copy a sheet from one instance of Excel to another (closes :issue:`231`).
+
 
 Fixes
 -----
diff --git a/larray/excel.py b/larray/excel.py
index a4b40b993..982f85d50 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -157,6 +157,9 @@ def __setitem__(self, key, value):
                 self.new_workbook = False
             key_in_self = key in self
             if isinstance(value, Sheet):
+                if value.xw_sheet.book.app != self.xw_wkb.app:
+                    raise ValueError("cannot copy a sheet from one instance of Excel to another")
+
                 # xlwings index is 1-based
                 # TODO: implement Workbook.index(key)
                 target_idx = self[key].xw_sheet.index - 1 if key_in_self else -1
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 3833f1099..4015d772e 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -1,7 +1,5 @@
 from __future__ import absolute_import, division, print_function
 
-from unittest import TestCase
-
 import pytest
 try:
     import xlwings as xw
@@ -12,7 +10,7 @@
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
-class TestExcel(TestCase):
+class TestExcel(object):
     def test_setitem(self):
         with open_excel(visible=False) as wb:
             # sheet did not exist, str value
@@ -35,6 +33,11 @@ def test_setitem(self):
             assert wb.sheet_names() == ['sheet1', 'sheet2', 'sheet3']
             assert wb['sheet2']['A1'].value == 'sheet1 content'
 
+            with open_excel(visible=False) as wb2:
+                with pytest.raises(ValueError) as e_info:
+                    wb2['sheet1'] = wb['sheet1']
+                assert e_info.value.args[0] == "cannot copy a sheet from one instance of Excel to another"
+
     def test_delitem(self):
         with open_excel(visible=False) as wb:
             wb['sheet1'] = 'sheet1 content'

From d64d69f7851eb17d24a6069373c18daf7ee7e745 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=3F=3F=C3=83=3F=C3=82=C2=ABtan=20de=20Menten?=
 <gdementen@gmail.com>
Date: Mon, 8 May 2017 16:53:29 +0200
Subject: [PATCH 540/899] reuse a single global Excel app by default in
 open_excel

This makes Excel I/O much faster without having to create an instance manually using xlwings.App, and still without
risking interfering with other instances of Excel opened manually (closes #245).
---
 doc/source/changes/version_0_22.rst.inc |  4 ++
 larray/excel.py                         | 64 ++++++++++++++++++++-----
 larray/tests/test_excel.py              | 26 +++++++++-
 larray/tests/test_la.py                 | 17 +------
 4 files changed, 82 insertions(+), 29 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 97c3785ae..0b47fcecb 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -263,6 +263,10 @@ Miscellaneous improvements
 
 * when creating a session from a directory containing CSV files, the directory may now contain other (non-CSV) files.
 
+* several calls to open_excel from within the same program/script will now reuses a single global Excel instance.
+  This makes Excel I/O much faster without having to create an instance manually using xlwings.App, and still without
+  risking interfering with other instances of Excel opened manually (closes :issue:`245`).
+
 * improved error message when trying to copy a sheet from one instance of Excel to another (closes :issue:`231`).
 
 
diff --git a/larray/excel.py b/larray/excel.py
index 982f85d50..12a499a55 100644
--- a/larray/excel.py
+++ b/larray/excel.py
@@ -1,4 +1,5 @@
 import os
+import atexit
 
 import numpy as np
 try:
@@ -14,6 +15,29 @@
 if xw is not None:
     from xlwings.conversion.pandas_conv import PandasDataFrameConverter
 
+    global_app = None
+
+
+    def is_app_alive(app):
+        try:
+            app.books
+            return True
+        except Exception:
+            return False
+
+
+    def kill_global_app():
+        global global_app
+
+        if global_app is not None:
+            if is_app_alive(global_app):
+                try:
+                    global_app.kill()
+                except Exception:
+                    pass
+            del global_app
+            global_app = None
+
 
     class LArrayConverter(PandasDataFrameConverter):
         writes_types = LArray
@@ -52,10 +76,17 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                 whether or not to show dialog boxes for updating links or
                 when some links cannot be updated. Defaults to False if
                 visible, True otherwise.
-            app : xlwings.App instance, optional
-                an existing app instance to reuse. Defaults to creating a new
-                Excel instance.
+            app : None, "new", "active", "global" or xlwings.App, optional
+                use "new" for opening a new Excel instance, "active" for the last active instance (including ones
+                opened by the user) and "global" to (re)use the same instance for all workbooks of a program. None is
+                equivalent to "active" if filepath is -1 and "global" otherwise. Defaults to None.
+
+                The "global" instance is a specific Excel instance for all input from/output to Excel from within a
+                single Python program (and should not interact with instances manually opened by the user or another
+                program).
             """
+            global global_app
+
             xw_wkb = None
             self.delayed_filepath = None
             self.new_workbook = False
@@ -82,9 +113,14 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     xw_wkb = xw.Book(filepath)
                     app = xw_wkb.app
 
+            if app is None:
+                app = "active" if filepath == -1 else "global"
+
             # active workbook use active app by default
-            if filepath == -1 and app is None:
-                app = -1
+            if filepath == -1:
+                if app != "active":
+                    raise ValueError("to connect to the active workbook, one must use the 'active' Excel instance "
+                                     "(app='active' or app=None)")
 
             # unless explicitly set, app is set to visible for brand new or
             # active book. For unsaved_book it is left intact.
@@ -95,10 +131,17 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     # filepath is not None but we don't target an unsaved book
                     visible = False
 
-            if app is None:
+            if app == "new":
                 app = xw.App(visible=visible, add_book=False)
-            elif app == -1:
+            elif app == "active":
                 app = xw.apps.active
+            elif app == "global":
+                if global_app is None:
+                    atexit.register(kill_global_app)
+                if global_app is None or not is_app_alive(global_app):
+                    global_app = xw.App(visible=visible, add_book=False)
+                app = global_app
+            assert isinstance(app, xw.App)
 
             if visible:
                 app.visible = visible
@@ -196,13 +239,10 @@ def save(self, path=None):
 
         def close(self):
             """
-            Close the workbook in Excel. If this was the last workbook of
-            that Excel instance, it also close the Excel instance.
+            Close the workbook in Excel. This will not quit the Excel instance, even if this was the last workbook of
+            that Excel instance.
             """
-            app = self.xw_wkb.app
             self.xw_wkb.close()
-            if not app.books:
-                app.quit()
 
         def __iter__(self):
             return iter([Sheet(None, None, xw_sheet)
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 4015d772e..5e492cd4b 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -7,10 +7,33 @@
     xw = None
 
 from larray import open_excel
+from larray import excel
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
 class TestExcel(object):
+    def test_open_excel(self):
+        # not using context manager because we call .quit manually
+        wb1 = open_excel(visible=False)
+        app1 = wb1.app
+        wb1.close()
+        # anything using wb1 will fail
+        with pytest.raises(Exception):
+            wb1.sheet_names()
+        wb2 = open_excel(visible=False)
+        app2 = wb2.app
+        assert app1 == app2 == excel.global_app
+        # this effectively close all workbooks but leaves the instance intact (this is probably due to us keeping a
+        # reference to it).
+        app1.quit()
+        # anything using wb2 will fail
+        with pytest.raises(Exception):
+            wb2.sheet_names()
+
+        # in any case, this should work
+        with open_excel(visible=False) as wb:
+            wb['test'] = 'content'
+
     def test_setitem(self):
         with open_excel(visible=False) as wb:
             # sheet did not exist, str value
@@ -33,7 +56,7 @@ def test_setitem(self):
             assert wb.sheet_names() == ['sheet1', 'sheet2', 'sheet3']
             assert wb['sheet2']['A1'].value == 'sheet1 content'
 
-            with open_excel(visible=False) as wb2:
+            with open_excel(visible=False, app="new") as wb2:
                 with pytest.raises(ValueError) as e_info:
                     wb2['sheet1'] = wb['sheet1']
                 assert e_info.value.args[0] == "cannot copy a sheet from one instance of Excel to another"
@@ -50,4 +73,3 @@ def test_rename(self):
             wb['sheet_name'] = 'sheet content'
             wb['sheet_name'].name = 'renamed'
             assert wb.sheet_names() == ['renamed']
-
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 5448cade3..96ac63a5a 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -3394,13 +3394,6 @@ def test_read_eurostat(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_read_excel_xlwings(self):
-        # TODO: we should implement an app= argument for read_excel to reuse the same Excel instance
-        # we could also use a single instance for the whole class by using something like:
-
-        # @classmethod
-        # def setUpClass(cls):
-        #     cls._excel_app = ...
-
         la = read_excel(abspath('test.xlsx'), '1d')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
@@ -3637,7 +3630,6 @@ def test_to_excel_xlsxwriter(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_to_excel_xlwings(self):
-        # TODO: we should implement an app= argument to to_excel to reuse the same Excel instance
         fpath = abspath('test_to_excel_xlwings.xlsx')
 
         # 1D
@@ -3695,13 +3687,10 @@ def test_to_excel_xlwings(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_open_excel(self):
-        # use a single Excel instance to speed up the test
-        app = xw.App(visible=False, add_book=False)
-
         # 1) with headers
         # ===============
 
-        with open_excel(abspath('test_open_excel.xlsx'), app=app) as wb:
+        with open_excel(abspath('test_open_excel.xlsx')) as wb:
             # 1D
             a1 = ndtest(3)
 
@@ -3781,7 +3770,7 @@ def test_open_excel(self):
 
         # 2) without headers
         # ==================
-        with open_excel(abspath('test_open_excel_no_headers.xlsx'), app=app) as wb:
+        with open_excel(abspath('test_open_excel_no_headers.xlsx')) as wb:
             # 1D
             a1 = ndtest(3)
 
@@ -3843,8 +3832,6 @@ def test_open_excel(self):
             res = wb['3D']['A20:D25'].load(header=False)
             assert_array_equal(res, a3.data.reshape((6, 4)))
 
-        app.quit()
-
     def test_ufuncs(self):
         la = self.small
         raw = self.small_data

From 3aa36206fe4fb880d313c1163b32abb979135912 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 15:42:31 +0200
Subject: [PATCH 541/899] implemented Axis.union, intersection and difference
 (see #55)

---
 doc/source/api.rst                      |  4 ++
 doc/source/changes/version_0_22.rst.inc | 13 ++++
 larray/core.py                          | 87 +++++++++++++++++++++++++
 larray/utils.py                         | 10 +--
 4 files changed, 110 insertions(+), 4 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index c1b6c8ad2..515f8778b 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -40,6 +40,10 @@ Modifying/Selecting/Searching
    Axis.rename
    Axis.subaxis
    Axis.extend
+   Axis.replace
+   Axis.union
+   Axis.intersection
+   Axis.difference
 
 Testing
 -------
diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 0b47fcecb..90ce33220 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -103,6 +103,19 @@
 
   (closes :issue:`170`)
 
+* implemented Axis.union, intersection and difference which produce new axes by combining the labels of the axis
+  with the other labels.
+
+    >>> letters = Axis('letters=a,b')
+    >>> letters.union(Axis('letters=b,c'))
+    Axis(['a', 'b', 'c'], 'letters')
+    >>> letters.union(['b', 'c'])
+    Axis(['a', 'b', 'c'], 'letters')
+    >>> letters.intersection(['b', 'c'])
+    Axis(['b'], 'letters')
+    >>> letters.difference(['b', 'c'])
+    Axis(['a'], 'letters')
+
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
 * Excel sheets in workbooks opened via open_excel can be renamed by changing their .name attribute:
diff --git a/larray/core.py b/larray/core.py
index 93c1a6fe0..0e3f5f5e6 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -1743,6 +1743,93 @@ def rename(self, name):
     def _rename(self, name):
         raise TypeError("Axis._rename is deprecated, use Axis.rename instead")
 
+    def union(self, other):
+        """Returns axis with the union of this axis labels and other labels.
+
+        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this axis will
+        be before labels from other.
+
+        Parameters
+        ----------
+        other : Axis or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        Axis
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.union(Axis('letters=b,c'))
+        Axis(['a', 'b', 'c'], 'letters')
+        >>> letters.union(['b', 'c'])
+        Axis(['a', 'b', 'c'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        unique_labels = []
+        seen = set()
+        unique_list(self.labels, unique_labels, seen)
+        unique_list(other, unique_labels, seen)
+        return Axis(unique_labels, self.name)
+
+    def intersection(self, other):
+        """Returns axis with the (set) intersection of this axis labels and other labels.
+
+        In other words, this will use labels from this axis if they are also in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.intersection(Axis('letters=b,c'))
+        Axis(['b'], 'letters')
+        >>> letters.intersection(['b', 'c'])
+        Axis(['b'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        seen = set(other)
+        return Axis([l for l in self.labels if l in seen], self.name)
+
+    def difference(self, other):
+        """Returns axis with the (set) difference of this axis labels and other labels.
+
+        In other words, this will use labels from this axis if they are not in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Axis or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        Axis
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.difference(Axis('letters=b,c'))
+        Axis(['a'], 'letters')
+        >>> letters.difference(['b', 'c'])
+        Axis(['a'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        seen = set(other)
+        return Axis([l for l in self.labels if l not in seen], self.name)
+
 
 # We need a separate class for LGroup and cannot simply create a
 # new Axis with a subset of values/ticks/labels: the subset of
diff --git a/larray/utils.py b/larray/utils.py
index a39eba742..447a4face 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -175,17 +175,19 @@ def unique(iterable):
             yield element
 
 
-def unique_list(iterable):
+def unique_list(iterable, res=None, seen=None):
     """
     Returns a list of all unique elements, preserving order. Remember all
     elements ever seen.
     >>> unique_list('AAAABBBCCDAABBB')
     ['A', 'B', 'C', 'D']
     """
-    seen = set()
-    seen_add = seen.add
-    res = []
+    if res is None:
+        res = []
     res_append = res.append
+    if seen is None:
+        seen = set()
+    seen_add = seen.add
     for element in iterable:
         if element not in seen:
             seen_add(element)

From e19ad1d8b513b0948919a281c7fb5fdbd118a877 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 16:36:49 +0200
Subject: [PATCH 542/899] moved LGroup.set() to Group so that it can be used on
 PGroup too

---
 doc/source/changes/version_0_22.rst.inc |  5 +++++
 larray/core.py                          | 12 +++++++++---
 2 files changed, 14 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 90ce33220..f23d758cb 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -128,6 +128,11 @@
     >>> wb = open_excel()
     >>> del wb['sheet_name']
 
+* implemented PGroup.set() to transform a positional group to an LSet.
+
+    >>> a = Axis('a=a0..a5')
+    >>> a.i[:2].set()
+    a['a0', 'a1'].set()
 
 .. _misc:
 
diff --git a/larray/core.py b/larray/core.py
index 0e3f5f5e6..8ea316a9a 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2163,6 +2163,15 @@ def opmethod(self, other):
     __ne__ = _binop('ne')
     __eq__ = _binop('eq')
 
+    def set(self):
+        """Creates LSet from this group
+
+        Returns
+        -------
+        LSet
+        """
+        return LSet(self.eval(), self.name, self.axis)
+
     def __contains__(self, item):
         if isinstance(item, Group):
             item = item.eval()
@@ -2256,9 +2265,6 @@ def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         Group.__init__(self, key, name, axis)
 
-    def set(self):
-        return LSet(self.eval(), self.name, self.axis)
-
     #XXX: return PGroup instead?
     def translate(self, bound=None, stop=False):
         """

From e6e9c1d014909725b51faf3b28853c596aea7c99 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 16:40:19 +0200
Subject: [PATCH 543/899] shorten/simplify doctests

---
 larray/core.py | 10 +++-------
 1 file changed, 3 insertions(+), 7 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 8ea316a9a..db85deb04 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -4666,7 +4666,7 @@ def to_series(self, dropna=False):
 
         Examples
         --------
-        >>> arr = ndtest((3, 3), dtype=float)
+        >>> arr = ndtest((2, 3), dtype=float)
         >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
         a   b
         a0  b0    0.0
@@ -4675,9 +4675,6 @@ def to_series(self, dropna=False):
         a1  b0    3.0
             b1    4.0
             b2    5.0
-        a2  b0    6.0
-            b1    7.0
-            b2    8.0
         dtype: float64
         """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
@@ -9063,9 +9060,8 @@ def to_hdf(self, filepath, key, *args, **kwargs):
 
         Examples
         --------
-        >>> from .tests.test_la import abspath
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
-        >>> a.to_hdf(abspath('test.h5'), 'a')
+        >>> a = ndtest((2, 3))
+        >>> a.to_hdf('test.h5', 'a')  # doctest: +SKIP
         """
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 

From dc67f5413151ff1835e5124366c2b6ba240cb157 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 16:47:39 +0200
Subject: [PATCH 544/899] implemented Group.union, intersection and difference
 (closes #55)

---
 doc/source/api.rst                      | 18 ++++--
 doc/source/changes/version_0_22.rst.inc | 13 +++++
 larray/core.py                          | 75 +++++++++++++++++++++++++
 3 files changed, 100 insertions(+), 6 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 515f8778b..f398ce8b6 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -64,10 +64,13 @@ PGroup
    :toctree: _generated/
 
    PGroup
-   Group.named
-   Group.with_axis
-   Group.by
+   PGroup.named
+   PGroup.with_axis
+   PGroup.by
    PGroup.translate
+   PGroup.union
+   PGroup.intersection
+   PGroup.difference
 
 LGroup
 ------
@@ -76,10 +79,13 @@ LGroup
    :toctree: _generated/
 
    LGroup
-   Group.named
-   Group.with_axis
-   Group.by
+   LGroup.named
+   LGroup.with_axis
+   LGroup.by
    LGroup.translate
+   LGroup.union
+   LGroup.intersection
+   LGroup.difference
 
 LSet
 ====
diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index f23d758cb..31221ebb7 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -116,6 +116,19 @@
     >>> letters.difference(['b', 'c'])
     Axis(['a'], 'letters')
 
+* implemented Group.union, intersection and difference which produce new groups by combining the labels of the axis
+  with the other labels.
+
+    >>> letters = Axis('letters=a..d')
+    >>> letters['a', 'b'].union(letters['b', 'c'])
+    letters['a', 'b', 'c'].set()
+    >>> letters['a', 'b'].union(['b', 'c'])
+    letters['a', 'b', 'c'].set()
+    >>> letters['a', 'b'].intersection(['b', 'c'])
+    letters['b'].set()
+    >>> letters['a', 'b'].difference(['b', 'c'])
+    letters['a'].set()
+
 * viewer: added possibility to delete an array by pressing Delete on keyboard (closes :issue:`116`).
 
 * Excel sheets in workbooks opened via open_excel can be renamed by changing their .name attribute:
diff --git a/larray/core.py b/larray/core.py
index db85deb04..2e034f143 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -2172,6 +2172,81 @@ def set(self):
         """
         return LSet(self.eval(), self.name, self.axis)
 
+    def union(self, other):
+        """Returns (set) union of this label group and other.
+
+        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this group will
+        be before labels from other.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].union(letters['b', 'c'])
+        letters['a', 'b', 'c'].set()
+        >>> letters['a', 'b'].union(['b', 'c'])
+        letters['a', 'b', 'c'].set()
+        """
+        return self.set().union(other)
+
+    def intersection(self, other):
+        """Returns (set) intersection of this label group and other.
+
+        In other words, this will return labels from this group which are also in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].intersection(letters['b', 'c'])
+        letters['b'].set()
+        >>> letters['a', 'b'].intersection(['b', 'c'])
+        letters['b'].set()
+        """
+        return self.set().intersection(other)
+
+    def difference(self, other):
+        """Returns (set) difference of this label group and other.
+
+        In other words, this will return labels from this group without those in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].difference(letters['b', 'c'])
+        letters['a'].set()
+        >>> letters['a', 'b'].difference(['b', 'c'])
+        letters['a'].set()
+        """
+        return self.set().difference(other)
+
     def __contains__(self, item):
         if isinstance(item, Group):
             item = item.eval()

From 321fcb6c92d92a534c832b1cef77657bc17f7d51 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 16:50:25 +0200
Subject: [PATCH 545/899] implement reindex when target axes have fewer labels
 (closes #251)

---
 larray/core.py | 43 +++++++++++++++++++++++++++++++++++--------
 1 file changed, 35 insertions(+), 8 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 2e034f143..946496762 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -5010,11 +5010,6 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
 
         Reindex several axes
 
-        >>> arr2 = ndtest((2, 3))
-        >>> arr.reindex(arr2.axes)
-        a\\b |  b0 |  b1 |  b2
-         a0 | 0.0 | 1.0 | nan
-         a1 | 2.0 | 3.0 | nan
         >>> a = Axis(['a1', 'a2', 'a0'], 'a')
         >>> b = Axis(['b2', 'b1', 'b0'], 'b')
         >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
@@ -5027,14 +5022,46 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
          a1 | nan | 3.0 | 2.0
          a2 | nan | nan | nan
          a0 | nan | 1.0 | 0.0
+
+        Reindex using axes from another array
+
+        >>> arr2 = ndrange('a=a0..a1;c=c0..c0;b=b0..b2')
+        >>> arr2
+         a | c\\b | b0 | b1 | b2
+        a0 |  c0 |  0 |  1 |  2
+        a1 |  c0 |  3 |  4 |  5
+        >>> arr.reindex(arr2.axes)
+         a | b\\c |  c0
+        a0 |  b0 | 0.0
+        a0 |  b1 | 1.0
+        a0 |  b2 | nan
+        a1 |  b0 | 2.0
+        a1 |  b1 | 3.0
+        a1 |  b2 | nan
+        >>> arr2.reindex(arr.axes)
+         a | c\\b |  b0 |  b1
+        a0 |  c0 | 0.0 | 1.0
+        a1 |  c0 | 3.0 | 4.0
         """
         # XXX: can't we move this to AxisCollection.replace?
         if isinstance(new_axis, (int, basestring, list, tuple)):
             new_axis = Axis(new_axis, self.axes[axes_to_reindex].name)
-        res_axes = self.axes.replace(axes_to_reindex, new_axis, **kwargs)
+        if isinstance(axes_to_reindex, AxisCollection):
+            assert new_axis is None
+            # add extra axes if needed
+            res_axes = AxisCollection([axes_to_reindex.get(axis, axis) for axis in self.axes]) | axes_to_reindex
+        else:
+            res_axes = self.axes.replace(axes_to_reindex, new_axis, **kwargs)
         res = full(res_axes, fill_value, dtype=common_type((self.data, fill_value)))
-        labels = tuple(axis[axis.labels] for axis in self.axes)
-        res[labels] = self
+        def get_labels(self_axis):
+            res_axis = res_axes[self_axis]
+            if res_axis.equals(self_axis):
+                return self_axis[:]
+            else:
+                return self_axis[self_axis.intersection(res_axis).labels]
+        self_labels = tuple(get_labels(axis) for axis in self.axes)
+        res_labels = tuple(res_axes[group.axis][group] for group in self_labels)
+        res[res_labels] = self[self_labels]
         if inplace:
             self.axes = res.axes
             self.data = res.data

From 7a1b60756f223194b49750d44497d6e475db3d4e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 10 May 2017 16:52:12 +0200
Subject: [PATCH 546/899] include changes from 0.22

---
 doc/source/changes.rst | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 41223f2d1..c16d58d35 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.22
+============
+
+In development
+
+.. include:: ./changes/version_0_22.rst.inc
+
+
 Version 0.21
 ============
 

From 1c1cf666389484a5c90ec8850b44d9b40729ec54 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 11 May 2017 10:20:29 +0200
Subject: [PATCH 547/899] cleanup read_arrays() method + refactor
 PandasHDFHandler and PandasCSVHandler classes

---
 larray/session.py | 31 +++++++++++++++++--------------
 1 file changed, 17 insertions(+), 14 deletions(-)

diff --git a/larray/session.py b/larray/session.py
index c75ce26ce..e25f5e645 100644
--- a/larray/session.py
+++ b/larray/session.py
@@ -92,11 +92,7 @@ def read_arrays(self, keys, *args, **kwargs):
         for key in keys:
             if display:
                 print("loading", key, "...", end=' ')
-            if os.path.isfile(key):
-                dest_key = os.path.splitext(os.path.basename(key))[0]
-            else:
-                dest_key = key.strip('/')
-            res[dest_key] = self._read_array(key, *args, **kwargs)
+            res[key] = self._read_array(key, *args, **kwargs)
             if display:
                 print("done")
         self.close()
@@ -137,13 +133,16 @@ def _open_for_write(self):
         self.handle = HDFStore(self.fname)
 
     def list(self):
-        return self.handle.keys()
+        return [key.strip('/') for key in self.handle.keys()]
+
+    def _to_hdf_key(self, key):
+        return '/' + key
 
     def _read_array(self, key, *args, **kwargs):
-        return read_hdf(self.handle, key, *args, **kwargs)
+        return read_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
 
     def _dump(self, key, value, *args, **kwargs):
-        value.to_hdf(self.handle, key, *args, **kwargs)
+        value.to_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
 
     def close(self):
         self.handle.close()
@@ -220,13 +219,17 @@ def list(self):
         else:
             return []
 
+    def _to_filepath(self, key):
+        if self.fname is not None:
+            return os.path.join(self.fname, '{}.csv'.format(key))
+        else:
+            return key
+
     def _read_array(self, key, *args, **kwargs):
-        fpath = os.path.join(self.fname, '{}.csv'.format(key)) if self.fname is not None else key
-        return read_csv(fpath, *args, **kwargs)
+        return read_csv(self._to_filepath(key), *args, **kwargs)
 
     def _dump(self, key, value, *args, **kwargs):
-        fpath = os.path.join(self.fname, '{}.csv'.format(key)) if self.fname is not None else key
-        value.to_csv(fpath, *args, **kwargs)
+        value.to_csv(self._to_filepath(key), *args, **kwargs)
 
     def close(self):
         pass
@@ -438,8 +441,8 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         fname : str
             Path for the dump.
         names : list of str or None, optional
-            List of names of objects to dump. Defaults to all objects
-            present in the Session.
+            List of names of objects to dump. If `fname` is None, list of paths to CSV files.
+            Defaults to all objects present in the Session.
         engine : str, optional
             Dump using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).

From dcb6955767ab761dd4290ae19ba0b0c64e8a955f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 10:51:15 +0200
Subject: [PATCH 548/899] fix bad copy/paste in changelog

---
 doc/source/changes/version_0_22.rst.inc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 31221ebb7..58f1940b1 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -116,7 +116,7 @@
     >>> letters.difference(['b', 'c'])
     Axis(['a'], 'letters')
 
-* implemented Group.union, intersection and difference which produce new groups by combining the labels of the axis
+* implemented Group.union, intersection and difference which produce new groups by combining the labels of the group
   with the other labels.
 
     >>> letters = Axis('letters=a..d')

From 55441568a027cd5691b5fdbc6b69a0c2630e1033 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 10:56:35 +0200
Subject: [PATCH 549/899] remove unused method

---
 larray/viewer.py | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 4dfcfb282..7d227e94a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2309,15 +2309,6 @@ def _add_arrays(self, arrays):
         if qtconsole_available:
             self.kernel.shell.push(dict(arrays))
 
-    def _clear_arrays(self):
-        arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
-        for name in arrays:
-            del self.data[name]
-            self.delete_list_item(name)
-        if qtconsole_available:
-            for name in arrays:
-                self.kernel.shell.del_var(name)
-
     def _is_unsaved_modifications(self):
         if self.arraywidget.model.readonly:
             return False

From b157d1a4af0db045aff194e52c463f35db68e0bc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 10:58:32 +0200
Subject: [PATCH 550/899] avoid showing an error when canceling a save_as

---
 larray/viewer.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 7d227e94a..cd468cac6 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2398,15 +2398,14 @@ def save(self):
         return True
 
     def save_as(self):
+        # TODO: use filter
         dialog = QFileDialog(self)
         dialog.setWindowModality(Qt.WindowModal)
         dialog.setAcceptMode(QFileDialog.AcceptSave)
-        if dialog.exec_() != QDialog.Accepted:
-            QMessageBox.critical(self, "Error", "Current session could not be saved")
-            return False
-        else:
+        accepted = dialog.exec_() == QDialog.Accepted
+        if accepted:
             self._save_data(dialog.selectedFiles()[0])
-            return True
+        return accepted
 
     def open_documentation(self):
         QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))

From b39d9a9e52b5869182e3ebcb89f78ac7ea64eca6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 11:09:36 +0200
Subject: [PATCH 551/899] fixed MappingEditor._unsaved_modifications to be True
 after deleting or modifying existing arrays via the console

(it already picked up new arrays)
---
 larray/viewer.py | 26 ++++++++++++++------------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index cd468cac6..cf79d5bee 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2176,8 +2176,12 @@ def update_mapping(self, value):
         changed_keys = [k for k in keys_after if value[k] is not self.data.get(k)]
 
         # when a key is re-assigned, it can switch from being displayable to non-displayable or vice versa
-        displayed_keys_before = set(k for k in keys_before if self._display_in_grid(k, self.data[k]))
-        displayed_keys_after = set(k for k in keys_after if self._display_in_grid(k, value[k]))
+        displayable_keys_before = set(k for k in keys_before if self._display_in_grid(k, self.data[k]))
+        displayable_keys_after = set(k for k in keys_after if self._display_in_grid(k, value[k]))
+        deleted_displayable_keys = displayable_keys_before - displayable_keys_after
+        new_displayable_keys = displayable_keys_after - displayable_keys_before
+        # this can contain more keys than new_displayble_keys (because of existing keys which changed value)
+        changed_displayable_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
 
         # 1) update session/mapping
         # a) deleted old keys
@@ -2188,19 +2192,17 @@ def update_mapping(self, value):
             self.data[k] = value[k]
 
         # 2) update list widget
-        for k in displayed_keys_before - displayed_keys_after:
+        for k in deleted_displayable_keys:
             self.delete_list_item(k)
+        self.add_list_items(new_displayable_keys)
 
-        self.add_list_items(displayed_keys_after - displayed_keys_before)
-
-        if len(displayed_keys_after - displayed_keys_before) > 0:
+        # 3) mark session as dirty if needed
+        if len(changed_displayable_keys) > 0 or deleted_displayable_keys:
             self._unsaved_modifications = True
 
-        # this can contain more keys than displayed_keys_after - displayed_keys_before (because of existing keys
-        # which changed value)
-        displayable_changed_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
-        # display only first result if there are more than one
-        to_display = displayable_changed_keys[0] if displayable_changed_keys else None
+        # 4) change displayed array in the array widget
+        # only display first result if there are more than one
+        to_display = changed_displayable_keys[0] if changed_displayable_keys else None
         if to_display is not None:
             self.select_list_item(to_display)
         return to_display
@@ -2234,7 +2236,7 @@ def _display_in_grid(self, k, v):
     def ipython_cell_executed(self):
         user_ns = self.kernel.shell.user_ns
         ip_keys = set(['In', 'Out', '_', '__', '___',
-                       '__builtin__', 
+                       '__builtin__',
                        '_dh', '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
                        'exit', 'get_ipython', 'quit'])
         # '__builtins__', '__doc__', '__loader__', '__name__', '__package__', '__spec__',

From 65aed21d6b1cff8326e6b8523f6ab24c7884eba8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 11:10:54 +0200
Subject: [PATCH 552/899] use arraywidget.dirty property instead of recomputing
 it

---
 larray/viewer.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index cf79d5bee..e72eeae67 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2315,9 +2315,15 @@ def _is_unsaved_modifications(self):
         if self.arraywidget.model.readonly:
             return False
         else:
-            return len(self.arraywidget.model.changes) > 0 or self._unsaved_modifications
+            return self.arraywidget.dirty or self._unsaved_modifications
 
     def _ask_to_save_if_unsaved_modifications(self):
+        """
+        Returns
+        -------
+        bool
+            whether or not the process should continue
+        """
         if self._is_unsaved_modifications():
             ret = QMessageBox.warning(self, "Warning", "The data has been modified.\nDo you want to save your changes?",
                                       QMessageBox.Save | QMessageBox.Discard | QMessageBox.Cancel)

From 10d975516379b3876d9635e4a23e150efe5d5cf6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 11:12:21 +0200
Subject: [PATCH 553/899] slightly nicer code

---
 larray/viewer.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index e72eeae67..d72f406de 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2367,11 +2367,9 @@ def _open_file(self, filepath):
     def open(self):
         if self._ask_to_save_if_unsaved_modifications():
             filter = "All (*.xls *xlsx *.h5 *.csv);;Excel Files (*.xls *xlsx);;HDF Files (*.h5);;CSV Files (*.csv)"
+            res = QFileDialog.getOpenFileNames(self, filter=filter)
             # Qt5 returns a tuple (filepaths, '') instead of a string
-            if PYQT5:
-                filepaths, _ = QFileDialog.getOpenFileNames(self, filter=filter)
-            else:
-                filepaths = QFileDialog.getOpenFileNames(self, filter=filter)
+            filepaths = res[0] if PYQT5 else res
             if len(filepaths) >= 1:
                 if all(['.csv' in filepath for filepath in filepaths]):
                     self._open_file(filepaths)

From dd0320ff5543760af487a7160a8c4f2d038b0666 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 11:20:31 +0200
Subject: [PATCH 554/899] * fixed save to return False in case the SaveAs
 dialog was canceled by the user   this was problematic when called by
 _ask_to_save_if_unsaved_modifications because it means   a new or open
 operation would continue even if the user closed the save dialog * use a
 statustip to show full path of recent files when hovering on them * PEP8: use
 underscores_variables instead of camelCase * made update_recent_file_actions
 a bit more Pythonic (iterate on the collections instead of on indices)

---
 larray/viewer.py | 53 ++++++++++++++++++++++++++++--------------------
 1 file changed, 31 insertions(+), 22 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index d72f406de..a1f2c831b 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1947,12 +1947,13 @@ class MappingEditor(QMainWindow):
     def __init__(self, parent=None):
         QMainWindow.__init__(self, parent)
 
-        # to handle rencently opened files
+        # to handle recently opened files
         settings = QSettings()
+        # XXX: use recent_file_list?
         if settings.value("recentFileList") is None:
             settings.setValue("recentFileList", [])
-        self.recentFileActs = [QAction(self) for _ in range(self.MAX_RECENT_FILES)]
-        self.currentFile = None
+        self.recent_file_actions = [QAction(self) for _ in range(self.MAX_RECENT_FILES)]
+        self.current_file = None
 
         # Destroying the C++ object right after closing the dialog box,
         # otherwise it may be garbage-collected in another QThread
@@ -2121,11 +2122,11 @@ def setup_menu_bar(self):
         file_menu.addAction(create_action(self, _('Save &As'), triggered=self.save_as,
                                           statustip=_('Save all arrays as a session in a file')))
 
-        recentFilesMenu = file_menu.addMenu("Open &Recent")
-        for action in self.recentFileActs:
+        recent_files_menu = file_menu.addMenu("Open &Recent")
+        for action in self.recent_file_actions:
             action.setVisible(False)
             action.triggered.connect(self.open_recent_file)
-            recentFilesMenu.addAction(action)
+            recent_files_menu.addAction(action)
         self.update_recent_file_actions()
 
         file_menu.addSeparator()
@@ -2294,6 +2295,7 @@ def on_item_changed(self, curr, prev):
             else:
                 self.eval_box.setText(expr)
 
+    # TODO: rename to set_current_array
     def set_widget_array(self, array, title):
         if isinstance(array, la.LArray):
             axes = array.axes
@@ -2397,11 +2399,17 @@ def _save_data(self, filepath):
         self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
 
     def save(self):
-        if self.currentFile is not None:
-            self._save_data(self.currentFile)
+        """
+        Returns
+        -------
+        bool
+            whether or not the data was actually saved
+        """
+        if self.current_file is not None:
+            self._save_data(self.current_file)
+            return True
         else:
-            self.save_as()
-        return True
+            return self.save_as()
 
     def save_as(self):
         # TODO: use filter
@@ -2418,7 +2426,8 @@ def open_documentation(self):
 
     def set_current_file(self, filepath):
         self.update_recent_files([filepath])
-        self.currentFile = filepath
+        self.current_file = filepath
+        # TODO: update window title
 
     def update_recent_files(self, filepaths):
         settings = QSettings()
@@ -2433,17 +2442,17 @@ def update_recent_files(self, filepaths):
 
     def update_recent_file_actions(self):
         settings = QSettings()
-        files = settings.value("recentFileList")
-        numRecentFiles = min(len(files), self.MAX_RECENT_FILES)
-
-        for i in range(numRecentFiles):
-            filepath = files[i]
-            text = os.path.basename(filepath)
-            self.recentFileActs[i].setText(text)
-            self.recentFileActs[i].setData(filepath)
-            self.recentFileActs[i].setVisible(True)
-        for i in range(numRecentFiles, self.MAX_RECENT_FILES):
-            self.recentFileActs[i].setVisible(False)
+        recent_files = settings.value("recentFileList")
+
+        # zip will iterate up to the shortest of the two
+        for filepath, action in zip(recent_files, self.recent_file_actions):
+            action.setText(os.path.basename(filepath))
+            action.setStatusTip(filepath)
+            action.setData(filepath)
+            action.setVisible(True)
+        # if we have less recent recent files than actions, hide the remaining actions
+        for action in self.recent_file_actions[len(recent_files):]:
+            action.setVisible(False)
 
     def closeEvent(self, event):
         if self._ask_to_save_if_unsaved_modifications():

From e5eb5cc403a6889ee4491b7e25e22b4696187ee9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 11:22:41 +0200
Subject: [PATCH 555/899] moved comment from .travis to setup.cfg (next to the
 line it refers to)

---
 .travis.yml | 4 +---
 setup.cfg   | 2 ++
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index c853050d3..72acab580 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -51,8 +51,6 @@ install:
     - source activate travisci
 
 script:
-    # exclude (doc)tests from ufuncs (because docstrings are copied from numpy
-    # and many of those doctests are failing
     - pytest
 
 notifications:
@@ -60,4 +58,4 @@ notifications:
     on_failure: "always"
 
 # use container-based infrastructure
-sudo: false
\ No newline at end of file
+sudo: false
diff --git a/setup.cfg b/setup.cfg
index aedd287c2..2553ec7a2 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -3,6 +3,8 @@ test=pytest
 
 [tool:pytest]
 testpaths = larray
+# exclude (doc)tests from ufuncs (because docstrings are copied from numpy
+# and many of those doctests are failing
 addopts = -v --doctest-modules --ignore=larray/ufuncs.py
 #--maxfail=1 --cov (requires pytest-cov) --pep8 (requires pytest-pep8)
 #pep8maxlinelength = 119

From d76b19977b8fddea72826fb9fd14d97e33182160 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 11 May 2017 10:44:53 +0200
Subject: [PATCH 556/899] fix #181 : custom title in MappingEditor is not
 overwritten when switching from array

added method update_title (displayed title = 'associated file - name : axes_info - custom part' if LArray object, else 'name - custom part')
---
 larray/viewer.py | 32 ++++++++++++++++++++++++++------
 1 file changed, 26 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index a1f2c831b..d254dfecd 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1988,7 +1988,8 @@ def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalu
             title = _("Session viewer") if readonly else _("Session editor")
         if readonly:
             title += ' (' + _('read only') + ')'
-        self.setWindowTitle(title)
+        self.title = title
+        self.setWindowTitle(self.title)
 
         self.statusBar().showMessage("Welcome to the LArray Viewer", 4000)
 
@@ -2295,16 +2296,35 @@ def on_item_changed(self, curr, prev):
             else:
                 self.eval_box.setText(expr)
 
-    # TODO: rename to set_current_array
-    def set_widget_array(self, array, title):
+    def update_title(self):
+        current_item = self._listwidget.currentItem()
+        name = str(current_item.text()) if current_item else ''
+        array = self.data[name] if name else None
+        title = []
         if isinstance(array, la.LArray):
+            # current file (if not None)
+            if self.current_file is not None:
+                if os.path.isdir(self.current_file):
+                    title = ['{}/{}.csv'.format(self.current_file, name)]
+                else:
+                    title = [self.current_file]
+            # array info
             axes = array.axes
             axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
                                    for display_name, axis
                                    in zip(axes.display_names, axes))
-            title = (title + ': ' + axes_info) if title else axes_info
-        self.setWindowTitle(title)
+            title += [(name + ': ' + axes_info) if name else axes_info]
+        # name of non-LArray displayed item (if not None)
+        elif name:
+            title = [name]
+        # extra info
+        title += [self.title]
+        self.setWindowTitle(' - '.join(title))
+
+    # TODO: rename to set_current_array
+    def set_widget_array(self, array, name):
         self.arraywidget.set_data(array)
+        self.update_title()
 
     def _add_arrays(self, arrays):
         for k, v in arrays.items():
@@ -2427,7 +2447,7 @@ def open_documentation(self):
     def set_current_file(self, filepath):
         self.update_recent_files([filepath])
         self.current_file = filepath
-        # TODO: update window title
+        self.update_title()
 
     def update_recent_files(self, filepaths):
         settings = QSettings()

From ca64d0bb370a2607b44ba44645a20170fb60cd9a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 11 May 2017 14:18:22 +0200
Subject: [PATCH 557/899] updated changelog 0.22 (issue 181 closed)

---
 doc/source/changes/version_0_22.rst.inc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 58f1940b1..c5ecc2494 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -328,3 +328,6 @@ Fixes
     >>> wb['name_of_new_sheet'] = wb['name_of_sheet_to_copy']
 
 * fixed with_axes warning to refer to set_axes instead of replace_axes.
+
+* fixed displayed title in viewer: shows path to file associated with current session + current array info +
+  extra info (closes :issue:`181`)

From daf50ea23364da232208abf65aa79b7a9758ff8d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 11 May 2017 14:19:51 +0200
Subject: [PATCH 558/899] set date of release of version 0.22 in change.rst

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index c16d58d35..a52993837 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.22
 ============
 
-In development
+Released on 2017-05-11.
 
 .. include:: ./changes/version_0_22.rst.inc
 

From 8f44ce9c6c5a89a1af59cd043d155006d34a14af Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 11 May 2017 14:24:00 +0200
Subject: [PATCH 559/899] renamed set_widget_array() as set_current_array() in
 MappingEditor class

---
 larray/viewer.py | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index d254dfecd..278f0c92a 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -2163,11 +2163,11 @@ def select_list_item(self, to_display):
         # if the currently selected item (value) need to be refreshed (e.g it was modified)
         if prev_selected and prev_selected[0] == changed_items[0]:
             # we need to update the array widget explicitly
-            self.set_widget_array(self.data[to_display], to_display)
+            self.set_current_array(self.data[to_display], to_display)
         else:
             # for some reason, on_item_changed is not triggered when no item was selected
             if not prev_selected:
-                self.set_widget_array(self.data[to_display], to_display)
+                self.set_current_array(self.data[to_display], to_display)
             self._listwidget.setCurrentItem(changed_items[0])
 
     def update_mapping(self, value):
@@ -2230,7 +2230,7 @@ def line_edit_update(self):
 
     def view_expr(self, array, *args, **kwargs):
         self._listwidget.clearSelection()
-        self.set_widget_array(array, '<expr>')
+        self.set_current_array(array, '<expr>')
 
     def _display_in_grid(self, k, v):
         return not k.startswith('__') and isinstance(v, DISPLAY_IN_GRID)
@@ -2285,7 +2285,7 @@ def on_item_changed(self, curr, prev):
         if curr is not None:
             name = str(curr.text())
             array = self.data[name]
-            self.set_widget_array(array, name)
+            self.set_current_array(array, name)
             expr = self.expressions.get(name, name)
             if qtconsole_available:
                 # this does not work because it updates the NEXT input, not the
@@ -2321,8 +2321,7 @@ def update_title(self):
         title += [self.title]
         self.setWindowTitle(' - '.join(title))
 
-    # TODO: rename to set_current_array
-    def set_widget_array(self, array, name):
+    def set_current_array(self, array, name):
         self.arraywidget.set_data(array)
         self.update_title()
 

From ad922acf4d2ca3c00af0187018b89001286fc470 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 15:22:33 +0200
Subject: [PATCH 560/899] #181 followup: fixed window title not being updated
 for console expr

---
 larray/viewer.py | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/larray/viewer.py b/larray/viewer.py
index 278f0c92a..233236ca8 100644
--- a/larray/viewer.py
+++ b/larray/viewer.py
@@ -1954,6 +1954,8 @@ def __init__(self, parent=None):
             settings.setValue("recentFileList", [])
         self.recent_file_actions = [QAction(self) for _ in range(self.MAX_RECENT_FILES)]
         self.current_file = None
+        self.current_array = None
+        self.current_array_name = None
 
         # Destroying the C++ object right after closing the dialog box,
         # otherwise it may be garbage-collected in another QThread
@@ -2102,6 +2104,8 @@ def void_formatter(array, *args, **kwargs):
     def _reset(self):
         self.data = la.Session()
         self._listwidget.clear()
+        self.current_array = None
+        self.current_array_name = None
         if qtconsole_available:
             self.kernel.shell.reset()
             self.kernel.shell.run_cell('from larray import *')
@@ -2228,7 +2232,7 @@ def line_edit_update(self):
         else:
             self.view_expr(eval(s, la.__dict__, self.data))
 
-    def view_expr(self, array, *args, **kwargs):
+    def view_expr(self, array):
         self._listwidget.clearSelection()
         self.set_current_array(array, '<expr>')
 
@@ -2297,9 +2301,8 @@ def on_item_changed(self, curr, prev):
                 self.eval_box.setText(expr)
 
     def update_title(self):
-        current_item = self._listwidget.currentItem()
-        name = str(current_item.text()) if current_item else ''
-        array = self.data[name] if name else None
+        array = self.current_array
+        name = self.current_array_name
         title = []
         if isinstance(array, la.LArray):
             # current file (if not None)
@@ -2322,6 +2325,8 @@ def update_title(self):
         self.setWindowTitle(' - '.join(title))
 
     def set_current_array(self, array, name):
+        self.current_array = array
+        self.current_array_name = name
         self.arraywidget.set_data(array)
         self.update_title()
 

From f644f4b3e0509f41fc09edf6d6c7b55d4229cdb3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 16:10:51 +0200
Subject: [PATCH 561/899] trying to fix building the conda package. This is
 sloppy and certainly not the correct way to do it but I want this release out
 the door

---
 condarecipe/larray/meta.yaml | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 9488b40e1..dd8345803 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -19,16 +19,25 @@ requirements:
     - setuptools
     - numpy >=1.10
     - pandas
+    - pytest-runner
 
   run:
     - python
     - numpy >=1.10
     - pandas
+    - pytest-runner
 
 test:
+#  requires:
+#    - pytest
+#    - pytest-runner
+
   imports:
     - larray
 
+#  commands:
+#    - pytest
+
   # commands:
     # You can put test commands to be run here.  Use this to test that the
     # entry points work.

From 2a3a7978b9bab03e98e4650241b46b7d3342ec84 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 16 May 2017 11:09:38 +0200
Subject: [PATCH 562/899] fix #209 : created a viewer package (#252)

created a viewer package and split module viewer.py into view.py, model.py and api.py (fixes #209)

combo.py also moved in viewer package
---
 larray/__init__.py                   |   13 +-
 larray/viewer/__init__.py            |   13 +
 larray/viewer/api.py                 |  301 +++++++
 larray/{ => viewer}/combo.py         |    0
 larray/viewer/model.py               |  816 ++++++++++++++++++
 larray/{viewer.py => viewer/view.py} | 1136 +-------------------------
 6 files changed, 1144 insertions(+), 1135 deletions(-)
 create mode 100644 larray/viewer/__init__.py
 create mode 100644 larray/viewer/api.py
 rename larray/{ => viewer}/combo.py (100%)
 create mode 100644 larray/viewer/model.py
 rename larray/{viewer.py => viewer/view.py} (67%)

diff --git a/larray/__init__.py b/larray/__init__.py
index 047e66214..58f473f41 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -6,15 +6,4 @@
 from larray.excel import open_excel
 from larray.ipfp import ipfp
 from larray.example import load_example_data
-
-try:
-    from larray.viewer import view, edit, compare
-except ImportError:
-    def view(*args, **kwargs):
-        raise Exception('view() is not available because Qt is not installed')
-
-    def edit(*args, **kwargs):
-        raise Exception('edit() is not available because Qt is not installed')
-
-    def compare(*args, **kwargs):
-        raise Exception('compare() is not available because Qt is not installed')
+from larray.viewer import *
diff --git a/larray/viewer/__init__.py b/larray/viewer/__init__.py
new file mode 100644
index 000000000..397bc2158
--- /dev/null
+++ b/larray/viewer/__init__.py
@@ -0,0 +1,13 @@
+from __future__ import absolute_import, division, print_function
+
+try:
+    from larray.viewer.api import *
+except ImportError:
+    def view(*args, **kwargs):
+        raise Exception('view() is not available because Qt is not installed')
+
+    def edit(*args, **kwargs):
+        raise Exception('edit() is not available because Qt is not installed')
+
+    def compare(*args, **kwargs):
+        raise Exception('compare() is not available because Qt is not installed')
\ No newline at end of file
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
new file mode 100644
index 000000000..c8a446884
--- /dev/null
+++ b/larray/viewer/api.py
@@ -0,0 +1,301 @@
+from __future__ import absolute_import, division, print_function
+
+import os
+import sys
+import traceback
+from collections import OrderedDict
+import numpy as np
+import larray as la
+
+from qtpy.QtWidgets import QApplication
+from larray.viewer.view import MappingEditor, ArrayEditor, SessionComparator, ArrayComparator
+
+__all__ = ['view', 'edit', 'compare']
+
+
+def qapplication():
+    return QApplication(sys.argv)
+
+def find_names(obj, depth=0):
+    """Return all names an object is bound to.
+
+    Parameters
+    ----------
+    obj : object
+        the object to find names for.
+    depth : int
+        depth of call frame to inspect. 0 is where find_names was called,
+        1 the caller of find_names, etc.
+
+    Returns
+    -------
+    list of str
+        all names obj is bound to, sorted alphabetically. Can be [] if we
+        computed an array just to view it.
+    """
+    # noinspection PyProtectedMember
+    l = sys._getframe(depth + 1).f_locals
+    return sorted(k for k, v in l.items() if v is obj)
+
+
+def get_title(obj, depth=0, maxnames=3):
+    """Return a title for an object (a combination of the names it is bound to).
+
+    Parameters
+    ----------
+    obj : object
+        the object to find a title for.
+    depth : int
+        depth of call frame to inspect. 0 is where get_title was called,
+        1 the caller of get_title, etc.
+
+    Returns
+    -------
+    str
+        title for obj. This can be '' if we computed an array just to view it.
+    """
+    names = find_names(obj, depth=depth + 1)
+    # names can be == []
+    # eg. view(arr['M'])
+    if len(names) > maxnames:
+        names = names[:maxnames] + ['...']
+    return ', '.join(names)
+
+def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
+    """
+    Opens a new editor window. If no object is given,
+    all local arrays are loaded in the editor.
+
+    obj : np.ndarray, LArray, Session, dict or str, optional
+        Object to visualize. If string, array(s) will be loaded
+        from the file given as argument.
+        Defaults to the collection of all local variables where
+        the function was called.
+    title : str, optional
+        Title for the current object.
+        A default one is generated if not provided.
+    minvalue : scalar, optional
+        Minimum value allowed.
+    maxvalue : scalar, optional
+        Maximum value allowed.
+    readonly : bool, optional
+        Whether or not editing array values is forbidden Defaults to False.
+    depth : int, optional
+        Stack depth where to look for variables.
+    """
+    _app = QApplication.instance()
+    if _app is None:
+        install_except_hook()
+        _app = qapplication()
+        _app.setOrganizationName("LArray")
+        _app.setApplicationName("Viewer")
+        parent = None
+    else:
+        parent = _app.activeWindow()
+
+    if obj is None:
+        local_vars = sys._getframe(depth + 1).f_locals
+        obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
+
+    if isinstance(obj, str):
+        if os.path.exists(obj):
+            obj = la.Session(obj)
+        else:
+            raise ValueError("file {} not found".format(obj))
+
+    if not title:
+        title = get_title(obj, depth=depth + 1)
+
+    dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
+    if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
+        if parent or isinstance(dlg, MappingEditor):
+            dlg.show()
+        else:
+            dlg.exec_()
+    if parent is None:
+        restore_except_hook()
+
+    _app.exec_()
+
+def view(obj=None, title='', depth=0):
+    """
+    Starts a new viewer window. Arrays are loaded in
+    readonly mode and their content cannot be modified.
+
+    If no object is given, all local arrays are loaded in the editor.
+
+    obj : np.ndarray, LArray, Session, dict or str, optional
+        Object to visualize. If string, array(s) will be loaded
+        from the file given as argument.
+        Defaults to the collection of all local variables where
+        the function was called.
+    title : str, optional
+        Title for the current object.
+        A default one is generated if not provided.
+    """
+    edit(obj, title=title, readonly=True, depth=depth + 1)
+
+
+def compare(*args, **kwargs):
+    title = kwargs.pop('title', '')
+    _app = QApplication.instance()
+    if _app is None:
+        install_except_hook()
+        _app = qapplication()
+        parent = None
+    else:
+        parent = _app.activeWindow()
+
+    if any(isinstance(a, la.Session) for a in args):
+        dlg = SessionComparator(parent)
+        default_name = 'session'
+    else:
+        dlg = ArrayComparator(parent)
+        default_name = 'array'
+
+    def get_name(i, obj, depth=0):
+        obj_names = find_names(obj, depth=depth + 1)
+        return obj_names[0] if obj_names else '%s %d' % (default_name, i)
+
+    names = [get_name(i, a, depth=1) for i, a in enumerate(args)]
+    if dlg.setup_and_check(args, names=names, title=title):
+        if parent:
+            dlg.show()
+        else:
+            dlg.exec_()
+    if parent is None:
+        restore_except_hook()
+
+_orig_except_hook = sys.excepthook
+
+
+def _qt_except_hook(type, value, tback):
+    # only print the exception and do *not* exit the program
+    traceback.print_exception(type, value, tback)
+
+
+def install_except_hook():
+    sys.excepthook = _qt_except_hook
+
+
+def restore_except_hook():
+    sys.excepthook = _orig_except_hook
+
+
+_orig_display_hook = sys.displayhook
+
+
+def _qt_display_hook(value):
+    if isinstance(value, la.LArray):
+        view(value)
+    else:
+        _orig_display_hook(value)
+
+
+def install_display_hook():
+    sys.displayhook = _qt_display_hook
+
+
+def restore_display_hook():
+    sys.displayhook = _orig_display_hook
+
+
+if __name__ == "__main__":
+    """Array editor test"""
+
+    lipro = la.Axis(['P%02d' % i for i in range(1, 16)], 'lipro')
+    age = la.Axis('age=0..115')
+    sex = la.Axis('sex=M,F')
+
+    vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
+          'A43,A44,A45,A46,A71,A72,A73'
+    wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \
+          'A83,A84,A85,A91,A92,A93'
+    bru = 'A21'
+    # list of strings
+    belgium = la.union(vla, wal, bru)
+
+    geo = la.Axis(belgium, 'geo')
+
+    # data1 = np.arange(30).reshape(2, 15)
+    # arr1 = la.LArray(data1, axes=(sex, lipro))
+    # edit(arr1)
+
+    # data2 = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
+    #           .astype(float)
+    # data2 = np.random.random(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
+    #           .astype(float)
+    # data2 = (np.random.randint(10, size=(116, 44, 2, 15)) - 5) / 17
+    # data2 = np.random.randint(10, size=(116, 44, 2, 15)) / 100 + 1567
+    # data2 = np.random.normal(51000000, 10000000, size=(116, 44, 2, 15))
+    data2 = np.random.normal(0, 1, size=(116, 44, 2, 15))
+    arr2 = la.LArray(data2, axes=(age, geo, sex, lipro))
+    # arr2 = la.ndrange([100, 100, 100, 100, 5])
+    # arr2 = arr2['F', 'A11', 1]
+
+    # view(arr2[0, 'A11', 'F', 'P01'])
+    # view(arr1)
+    # view(arr2[0, 'A11'])
+    # edit(arr1)
+    # print(arr2[0, 'A11', :, 'P01'])
+    # edit(arr2.astype(int), minvalue=-99, maxvalue=55.123456)
+    # edit(arr2.astype(int), minvalue=-99)
+    # arr2.i[0, 0, 0, 0] = np.inf
+    # arr2.i[0, 0, 1, 1] = -np.inf
+    # arr2 = [0.0000111, 0.0000222]
+    # arr2 = [0.00001, 0.00002]
+    # edit(arr2, minvalue=-99, maxvalue=25.123456)
+    # print(arr2[0, 'A11', :, 'P01'])
+
+    # data2 = np.random.normal(0, 10.0, size=(5000, 20))
+    # arr2 = la.LArray(data2,
+    #                  axes=(la.Axis(list(range(5000)), 'd0'),
+    #                        la.Axis(list(range(20)), 'd1')))
+    # edit(arr2)
+
+    # view(['a', 'bb', 5599])
+    # view(np.arange(12).reshape(2, 3, 2))
+    # view([])
+
+    data3 = np.random.normal(0, 1, size=(2, 15))
+    arr3 = la.ndrange((30, sex))
+    # data4 = np.random.normal(0, 1, size=(2, 15))
+    # arr4 = la.LArray(data4, axes=(sex, lipro))
+
+    # arr4 = arr3.copy()
+    # arr4['F'] /= 2
+    arr4 = arr3.min(la.x.sex)
+    arr5 = arr3.max(la.x.sex)
+    arr6 = arr3.mean(la.x.sex)
+
+    # test isssue #35
+    arr7 = la.from_lists([['a',                   1,                    2,                    3],
+                          [ '', 1664780726569649730, -9196963249083393206, -7664327348053294350]])
+
+    # compare(arr3, arr4, arr5, arr6)
+
+    # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
+    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
+                     data2=data2, data3=data3)
+    edit(ses)
+
+    # s = la.local_arrays()
+    # view(s)
+    # print('HDF')
+    # s.save('x.h5')
+    # print('\nEXCEL')
+    # s.save('x.xlsx')
+    # print('\nCSV')
+    # s.save('x_csv')
+    # print('\n open HDF')
+    # edit('x.h5')
+    # print('\n open EXCEL')
+    # edit('x.xlsx')
+    # print('\n open CSV')
+    # edit('x_csv')
+
+    # compare(arr3, arr4, arr5, arr6)
+
+    # arr3 = la.ndrange((1000, 1000, 500))
+    # print(arr3.nbytes * 1e-9 + 'Gb')
+    # edit(arr3, minvalue=-99, maxvalue=25.123456)
diff --git a/larray/combo.py b/larray/viewer/combo.py
similarity index 100%
rename from larray/combo.py
rename to larray/viewer/combo.py
diff --git a/larray/viewer/model.py b/larray/viewer/model.py
new file mode 100644
index 000000000..d214eb6bc
--- /dev/null
+++ b/larray/viewer/model.py
@@ -0,0 +1,816 @@
+from __future__ import absolute_import, division, print_function
+
+import sys
+import numpy as np
+import larray as la
+
+from qtpy.QtCore import (Qt, QVariant, QModelIndex, QAbstractTableModel)
+from qtpy.QtGui import (QFont, QColor)
+from qtpy.QtWidgets import (QMessageBox)
+from qtpy import PYQT5
+
+PY2 = sys.version[0] == '2'
+
+
+def _get_font(family, size, bold=False, italic=False):
+    weight = QFont.Bold if bold else QFont.Normal
+    font = QFont(family, size, weight)
+    if italic:
+        font.setItalic(True)
+    return to_qvariant(font)
+
+def is_float(dtype):
+    """Return True if datatype dtype is a float kind"""
+    return ('float' in dtype.name) or dtype.name in ['single', 'double']
+
+def is_number(dtype):
+    """Return True is datatype dtype is a number kind"""
+    return is_float(dtype) or ('int' in dtype.name) or ('long' in dtype.name) or ('short' in dtype.name)
+
+# Spyder compat
+# -------------
+
+# Note: string and unicode data types will be formatted with '%s' (see below)
+SUPPORTED_FORMATS = {
+    'object': '%s',
+    'single': '%.2f',
+    'double': '%.2f',
+    'float_': '%.2f',
+    'longfloat': '%.2f',
+    'float32': '%.2f',
+    'float64': '%.2f',
+    'float96': '%.2f',
+    'float128': '%.2f',
+    'csingle': '%r',
+    'complex_': '%r',
+    'clongfloat': '%r',
+    'complex64': '%r',
+    'complex128': '%r',
+    'complex192': '%r',
+    'complex256': '%r',
+    'byte': '%d',
+    'short': '%d',
+    'intc': '%d',
+    'int_': '%d',
+    'longlong': '%d',
+    'intp': '%d',
+    'int8': '%d',
+    'int16': '%d',
+    'int32': '%d',
+    'int64': '%d',
+    'ubyte': '%d',
+    'ushort': '%d',
+    'uintc': '%d',
+    'uint': '%d',
+    'ulonglong': '%d',
+    'uintp': '%d',
+    'uint8': '%d',
+    'uint16': '%d',
+    'uint32': '%d',
+    'uint64': '%d',
+    'bool_': '%r',
+    'bool8': '%r',
+    'bool': '%r',
+}
+# =======================
+
+def get_font(section):
+    return _get_font('Calibri', 11)
+
+def to_qvariant(obj=None):
+    return obj
+
+def from_qvariant(qobj=None, pytype=None):
+    # FIXME: force API level 2 instead of handling this
+    if isinstance(qobj, QVariant):
+        assert pytype is str
+        return pytype(qobj.toString())
+    return qobj
+
+def _(text):
+    return text
+
+def to_text_string(obj, encoding=None):
+    """Convert `obj` to (unicode) text string"""
+    if PY2:
+        # Python 2
+        if encoding is None:
+            return unicode(obj)
+        else:
+            return unicode(obj, encoding)
+    else:
+        # Python 3
+        if encoding is None:
+            return str(obj)
+        elif isinstance(obj, str):
+            # In case this function is not used properly, this could happen
+            return obj
+        else:
+            return str(obj, encoding)
+
+
+LARGE_SIZE = 5e5
+LARGE_NROWS = 1e5
+LARGE_COLS = 60
+
+class ArrayModel(QAbstractTableModel):
+    """Array Editor Table Model.
+
+    Parameters
+    ----------
+    data : 2D NumPy array, optional
+        Input data (2D array).
+    format : str, optional
+        Indicates how data are represented in cells.
+        By default, they are represented as floats with 3 decimal points.
+    xlabels : array, optional
+        Row's labels.
+    ylables : array, optional
+        Column's labels.
+    readonly : bool, optional
+        If True, data cannot be changed. False by default.
+    font : QFont, optional
+        Font. Default is `Calibri` with size 11.
+    parent : QWidget, optional
+        Parent Widget.
+    bg_gradient : ???, optional
+        Background color gradient
+    bg_value : ???, optional
+        Background color value
+    minvalue : scalar
+        Minimum value allowed.
+    maxvalue : scalar
+        Maximum value allowed.
+    """
+
+    ROWS_TO_LOAD = 500
+    COLS_TO_LOAD = 40
+
+    def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
+                 readonly=False, font=None, parent=None,
+                 bg_gradient=None, bg_value=None, minvalue=None, maxvalue=None):
+        QAbstractTableModel.__init__(self)
+
+        self.dialog = parent
+        self.readonly = readonly
+        self._format = format
+
+        # Backgroundcolor settings
+        # TODO: use LinearGradient
+        # self.bgfunc = bgfunc
+        huerange = [.66, .99]  # Hue
+        self.sat = .7  # Saturation
+        self.val = 1.  # Value
+        self.alp = .6  # Alpha-channel
+        self.hue0 = huerange[0]
+        self.dhue = huerange[1] - huerange[0]
+        self.bgcolor_enabled = True
+        # hue = self.hue0
+        # color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
+        # self.color = to_qvariant(color)
+
+        if font is None:
+            font = get_font("arreditor")
+        self.font = font
+        bold_font = get_font("arreditor")
+        bold_font.setBold(True)
+        self.bold_font = bold_font
+
+        self.minvalue = minvalue
+        self.maxvalue = maxvalue
+        # TODO: check that data respects minvalue/maxvalue
+        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
+
+    def get_format(self):
+        """Return current format"""
+        # Avoid accessing the private attribute _format from outside
+        return self._format
+
+    def get_data(self):
+        """Return data"""
+        return self._data
+
+    def set_data(self, data, xlabels=None, ylabels=None, changes=None,
+                 bg_gradient=None, bg_value=None):
+        self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
+        self.reset()
+
+    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
+        if changes is None:
+            changes = {}
+        if data is None:
+            data = np.empty(0, dtype=np.int8).reshape(0, 0)
+        if data.dtype.names is None:
+            dtn = data.dtype.name
+            if dtn not in SUPPORTED_FORMATS and not dtn.startswith('str') \
+                    and not dtn.startswith('unicode'):
+                msg = _("%s arrays are currently not supported")
+                QMessageBox.critical(self.dialog, "Error", msg % data.dtype.name)
+                return
+        assert data.ndim == 2
+        self.test_array = np.array([0], dtype=data.dtype)
+
+        # for complex numbers, shading will be based on absolute value
+        # but for all other types it will be the real part
+        # TODO: there are a lot more complex dtypes than this. Is there a way to get them all in one shot?
+        if data.dtype in (np.complex64, np.complex128):
+            self.color_func = np.abs
+        else:
+            # XXX: this is a no-op (it returns the array itself) for most types (I think all non complex types)
+            #      => use an explicit nop?
+            # def nop(v):
+            #     return v
+            # self.color_func = nop
+            self.color_func = np.real
+        self.bg_gradient = bg_gradient
+        self.bg_value = bg_value
+
+        assert isinstance(changes, dict)
+        self.changes = changes
+        self._data = data
+        if xlabels is None:
+            xlabels = [[], []]
+        self.xlabels = xlabels
+        if ylabels is None:
+            ylabels = [[]]
+        self.ylabels = ylabels
+
+        self.total_rows = self._data.shape[0]
+        self.total_cols = self._data.shape[1]
+        size = self.total_rows * self.total_cols
+        self.reset_minmax()
+        # Use paging when the total size, number of rows or number of
+        # columns is too large
+        if size > LARGE_SIZE:
+            self.rows_loaded = min(self.ROWS_TO_LOAD, self.total_rows)
+            self.cols_loaded = min(self.COLS_TO_LOAD, self.total_cols)
+        else:
+            if self.total_rows > LARGE_NROWS:
+                self.rows_loaded = self.ROWS_TO_LOAD
+            else:
+                self.rows_loaded = self.total_rows
+            if self.total_cols > LARGE_COLS:
+                self.cols_loaded = self.COLS_TO_LOAD
+            else:
+                self.cols_loaded = self.total_cols
+
+    def reset_minmax(self):
+        # this will be awful to get right, because ideally, we should
+        # include self.changes.values() and ignore values corresponding to
+        # self.changes.keys()
+        data = self.get_values()
+        try:
+            color_value = self.color_func(data)
+            self.vmin = float(np.nanmin(color_value))
+            self.vmax = float(np.nanmax(color_value))
+            if self.vmax == self.vmin:
+                self.vmin -= 1
+            self.bgcolor_enabled = True
+        # ValueError for empty arrays
+        except (TypeError, ValueError):
+            self.vmin = None
+            self.vmax = None
+            self.bgcolor_enabled = False
+
+    def set_format(self, format):
+        """Change display format"""
+        self._format = format
+        self.reset()
+
+    def columnCount(self, qindex=QModelIndex()):
+        """Return array column number"""
+        return len(self.ylabels) - 1 + self.cols_loaded
+
+    def rowCount(self, qindex=QModelIndex()):
+        """Return array row number"""
+        return len(self.xlabels) - 1 + self.rows_loaded
+
+    def fetch_more_rows(self):
+        if self.total_rows > self.rows_loaded:
+            remainder = self.total_rows - self.rows_loaded
+            items_to_fetch = min(remainder, self.ROWS_TO_LOAD)
+            self.beginInsertRows(QModelIndex(), self.rows_loaded,
+                                 self.rows_loaded + items_to_fetch - 1)
+            self.rows_loaded += items_to_fetch
+            self.endInsertRows()
+
+    def fetch_more_columns(self):
+        if self.total_cols > self.cols_loaded:
+            remainder = self.total_cols - self.cols_loaded
+            items_to_fetch = min(remainder, self.COLS_TO_LOAD)
+            self.beginInsertColumns(QModelIndex(), self.cols_loaded,
+                                    self.cols_loaded + items_to_fetch - 1)
+            self.cols_loaded += items_to_fetch
+            self.endInsertColumns()
+
+    def bgcolor(self, state):
+        """Toggle backgroundcolor"""
+        self.bgcolor_enabled = state > 0
+        self.reset()
+
+    def get_labels(self, index):
+        i = index.row() - len(self.xlabels) + 1
+        j = index.column() - len(self.ylabels) + 1
+        if i < 0 or j < 0:
+            return ""
+        dim_names = self.xlabels[0]
+        ndim = len(dim_names)
+        last_dim_labels = self.xlabels[1]
+        # ylabels[0] are empty
+        labels = [self.ylabels[d + 1][i] for d in range(ndim - 1)] + \
+                 [last_dim_labels[j]]
+        return ", ".join("%s=%s" % (dim_name, label)
+                         for dim_name, label in zip(dim_names, labels))
+
+    def get_value(self, index):
+        i = index.row() - len(self.xlabels) + 1
+        j = index.column() - len(self.ylabels) + 1
+        if i < 0 and j < 0:
+            return ""
+        if i < 0:
+            return str(self.xlabels[i][j])
+        if j < 0:
+            return str(self.ylabels[j][i])
+        return self.changes.get((i, j), self._data[i, j])
+
+    def data(self, index, role=Qt.DisplayRole):
+        """Cell content"""
+        if not index.isValid():
+            return to_qvariant()
+        # if role == Qt.DecorationRole:
+        #     return ima.icon('editcopy')
+        # if role == Qt.DisplayRole:
+        #     return ""
+
+        if role == Qt.TextAlignmentRole:
+            if (index.row() < len(self.xlabels) - 1) or \
+                    (index.column() < len(self.ylabels) - 1):
+                return to_qvariant(int(Qt.AlignCenter | Qt.AlignVCenter))
+            else:
+                return to_qvariant(int(Qt.AlignRight | Qt.AlignVCenter))
+
+        elif role == Qt.FontRole:
+            if (index.row() < len(self.xlabels) - 1) or \
+                    (index.column() < len(self.ylabels) - 1):
+                return self.bold_font
+            else:
+                return self.font
+        # row, column = index.row(), index.column()
+        value = self.get_value(index)
+        if role == Qt.DisplayRole:
+            # if column == 0:
+            #     return to_qvariant(value)
+            if value is np.ma.masked:
+                return ''
+            # for headers
+            elif isinstance(value, str) and not isinstance(value, np.str_):
+                return value
+            else:
+                return to_qvariant(self._format % value)
+
+        elif role == Qt.BackgroundColorRole:
+            if (index.row() < len(self.xlabels) - 1) or \
+                    (index.column() < len(self.ylabels) - 1):
+                color = QColor(Qt.lightGray)
+                color.setAlphaF(.4)
+                return color
+            elif self.bgcolor_enabled and value is not np.ma.masked:
+                if self.bg_gradient is None:
+                    maxdiff = self.vmax - self.vmin
+                    color_val = float(self.color_func(value))
+                    hue = self.hue0 + self.dhue * (self.vmax - color_val) / maxdiff
+                    color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
+                    return to_qvariant(color)
+                else:
+                    bg_value = self.bg_value
+                    x = index.row() - len(self.xlabels) + 1
+                    y = index.column() - len(self.ylabels) + 1
+                    # FIXME: this is buggy on filtered data. We should change
+                    # bg_value when changing the filter.
+                    idx = y + x * bg_value.shape[-1]
+                    value = bg_value.data.flat[idx]
+                    return self.bg_gradient[value]
+        elif role == Qt.ToolTipRole:
+            return to_qvariant("%s\n%s" %(repr(value),self.get_labels(index)))
+        return to_qvariant()
+
+    def get_values(self, left=0, top=0, right=None, bottom=None):
+        changes = self.changes
+        width, height = self.total_rows, self.total_cols
+        if right is None:
+            right = width
+        if bottom is None:
+            bottom = height
+        values = self._data[left:right, top:bottom].copy()
+        # both versions get the same result, but depending on inputs, the
+        # speed difference can be large.
+        if values.size < len(changes):
+            for i in range(left, right):
+                for j in range(top, bottom):
+                    pos = i, j
+                    if pos in changes:
+                        values[i - left, j - top] = changes[pos]
+        else:
+            for (i, j), value in changes.items():
+                if left <= i < right and top <= j < bottom:
+                    values[i - left, j - top] = value
+        return values
+
+    def convert_value(self, value):
+        """
+        Parameters
+        ----------
+        value : str
+        """
+        dtype = self._data.dtype
+        if dtype.name == "bool":
+            try:
+                return bool(float(value))
+            except ValueError:
+                return value.lower() == "true"
+        elif dtype.name.startswith("string"):
+            return str(value)
+        elif dtype.name.startswith("unicode"):
+            return to_text_string(value)
+        elif is_float(dtype):
+            return float(value)
+        elif is_number(dtype):
+            return int(value)
+        else:
+            return complex(value)
+
+    def convert_values(self, values):
+        values = np.asarray(values)
+        res = np.empty_like(values, dtype=self._data.dtype)
+        try:
+            # TODO: use array/vectorized conversion functions (but watch out
+            # for bool)
+            # new_data = str_array.astype(data.dtype)
+            for i, v in enumerate(values.flat):
+                res.flat[i] = self.convert_value(v)
+        except ValueError as e:
+            QMessageBox.critical(self.dialog, "Error",
+                                 "Value error: %s" % str(e))
+            return None
+        except OverflowError as e:
+            QMessageBox.critical(self.dialog, "Error",
+                                 "Overflow error: %s" % e.message)
+            return None
+        return res
+
+    def set_values(self, left, top, right, bottom, values):
+        """
+        Parameters
+        ----------
+        left : int
+        top : int
+        right : int
+            exclusive
+        bottom : int
+            exclusive
+        values : ndarray
+            must not be of the correct type
+
+        Returns
+        -------
+        tuple of QModelIndex or None
+            actual bounds (end bound is inclusive) if update was successful,
+            None otherwise
+        """
+        values = self.convert_values(values)
+        if values is None:
+            return
+        values = np.atleast_2d(values)
+        vshape = values.shape
+        vwidth, vheight = vshape
+        width, height = right - left, bottom - top
+        assert vwidth == 1 or vwidth == width
+        assert vheight == 1 or vheight == height
+
+        # Add change to self.changes
+        changes = self.changes
+        # requires numpy 1.10
+        newvalues = np.broadcast_to(values, (width, height))
+        oldvalues = np.empty_like(newvalues)
+        for i in range(width):
+            for j in range(height):
+                pos = left + i, top + j
+                old_value = changes.get(pos, self._data[pos])
+                oldvalues[i, j] = old_value
+                val = newvalues[i, j]
+                if val != old_value:
+                    changes[pos] = val
+
+        # Update vmin/vmax if necessary
+        if self.vmin is not None and self.vmax is not None:
+            colorval = self.color_func(values)
+            old_colorval = self.color_func(oldvalues)
+            if np.any(((old_colorval == self.vmax) & (colorval < self.vmax)) |
+                      ((old_colorval == self.vmin) & (colorval > self.vmin))):
+                self.reset_minmax()
+            if np.any(colorval > self.vmax):
+                self.vmax = float(np.nanmax(colorval))
+            if np.any(colorval < self.vmin):
+                self.vmin = float(np.nanmin(colorval))
+
+        xoffset = len(self.xlabels) - 1
+        yoffset = len(self.ylabels) - 1
+        top_left = self.index(left + xoffset, top + yoffset)
+        # -1 because Qt index end bounds are inclusive
+        bottom_right = self.index(right + xoffset - 1, bottom + yoffset - 1)
+        self.dataChanged.emit(top_left, bottom_right)
+        return top_left, bottom_right
+
+    def setData(self, index, value, role=Qt.EditRole):
+        """Cell content change"""
+        if not index.isValid() or self.readonly:
+            return False
+        i = index.row() - len(self.xlabels) + 1
+        j = index.column() - len(self.ylabels) + 1
+        result = self.set_values(i, j, i + 1, j + 1, from_qvariant(value, str))
+        return result is not None
+
+    def flags(self, index):
+        """Set editable flag"""
+        if not index.isValid():
+            return Qt.ItemIsEnabled
+        if (index.row() < len(self.xlabels) - 1) or \
+                (index.column() < len(self.ylabels) - 1):
+            return Qt.ItemIsEnabled #QAbstractTableModel.flags(self, index)
+        flags = QAbstractTableModel.flags(self, index)
+        if not self.readonly:
+            flags |= Qt.ItemIsEditable
+        return Qt.ItemFlags(flags)
+
+    def headerData(self, section, orientation, role=Qt.DisplayRole):
+        """Set header data"""
+        horizontal = orientation == Qt.Horizontal
+        # if role == Qt.ToolTipRole:
+        #     if horizontal:
+        #         return to_qvariant("horiz %d" % section)
+        #     else:
+        #         return to_qvariant("vert %d" % section)
+        if role != Qt.DisplayRole:
+            # roles = {0: "display", 2: "edit",
+            #          8: "background", 9: "foreground",
+            #          13: "sizehint", 4: "statustip", 11: "accessibletext",
+            #          1: "decoration", 6: "font", 7: "textalign",
+            #          10: "checkstate"}
+            # print("section", section, "ori", orientation,
+            #       "role", roles.get(role, role), "result",
+            #       super(ArrayModel, self).headerData(section, orientation,
+            #                                          role))
+            return to_qvariant()
+
+        labels, other = self.xlabels, self.ylabels
+        if not horizontal:
+            labels, other = other, labels
+        if labels is None:
+            shape = self._data.shape
+            # prefer a blank cell to one cell named "0"
+            if not shape or shape[int(horizontal)] == 1:
+                return to_qvariant()
+            else:
+                return to_qvariant(int(section))
+        else:
+            if section < len(labels[0]):
+                return to_qvariant(labels[0][section])
+            #     #section = section - len(other) + 1
+            else:
+                return to_qvariant()
+
+            # return to_qvariant(labels[0][section])
+            # if len(other) - 1 <= section < len(labels[0]):
+            #     #section = section - len(other) + 1
+            # else:
+            #     return to_qvariant("a")
+
+    def reset(self):
+        self.beginResetModel()
+        self.endResetModel()
+
+
+class Product(object):
+    """
+    Represents the `cartesian product` of several arrays.
+
+    Parameters
+    ----------
+    arrays : iterable of array
+        List of arrays on which to apply the cartesian product.
+
+    Examples
+    --------
+    >>> p = Product([['a', 'b', 'c'], [1, 2]])
+    >>> for i in range(len(p)):
+    ...     print(p[i])
+    ('a', 1)
+    ('a', 2)
+    ('b', 1)
+    ('b', 2)
+    ('c', 1)
+    ('c', 2)
+    >>> p[1:4]
+    [('a', 2), ('b', 1), ('b', 2)]
+    >>> list(p)
+    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
+    """
+    def __init__(self, arrays):
+        self.arrays = arrays
+        assert len(arrays)
+        shape = [len(a) for a in self.arrays]
+        self.div_mod = [(int(np.prod(shape[i + 1:])), shape[i])
+                        for i in range(len(shape))]
+        self.length = np.prod(shape)
+
+    def to_tuple(self, key):
+        if key >= self.length:
+            raise IndexError("index %d out of range for Product of length %d" % (key, self.length))
+        return tuple(key // div % mod for div, mod in self.div_mod)
+
+    def __len__(self):
+        return self.length
+
+    def __getitem__(self, key):
+        if isinstance(key, (int, np.integer)):
+            return tuple(array[i]
+                         for array, i in zip(self.arrays, self.to_tuple(key)))
+        else:
+            assert isinstance(key, slice), \
+                "key (%s) has invalid type (%s)" % (key, type(key))
+            start, stop, step = key.start, key.stop, key.step
+            if start is None:
+                start = 0
+            if stop is None:
+                stop = self.length
+            if step is None:
+                step = 1
+
+            return [tuple(array[i]
+                          for array, i in zip(self.arrays, self.to_tuple(i)))
+                    for i in range(start, stop, step)]
+
+
+class _LazyLabels(object):
+    def __init__(self, arrays):
+        self.prod = Product(arrays)
+
+    def __getitem__(self, key):
+        return ' '.join(self.prod[key])
+
+    def __len__(self):
+        return len(self.prod)
+
+
+class _LazyDimLabels(object):
+    """
+    Examples
+    --------
+    >>> p = Product([['a', 'b', 'c'], [1, 2]])
+    >>> list(p)
+    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
+    >>> l0 = _LazyDimLabels(p, 0)
+    >>> l1 = _LazyDimLabels(p, 1)
+    >>> for i in range(len(p)):
+    ...     print(l0[i], l1[i])
+    a 1
+    a 2
+    b 1
+    b 2
+    c 1
+    c 2
+    >>> l0[1:4]
+    ['a', 'b', 'b']
+    >>> l1[1:4]
+    [2, 1, 2]
+    >>> list(l0)
+    ['a', 'a', 'b', 'b', 'c', 'c']
+    >>> list(l1)
+    [1, 2, 1, 2, 1, 2]
+    """
+    def __init__(self, prod, i):
+        self.prod = prod
+        self.i = i
+
+    def __iter__(self):
+        return iter(self.prod[i][self.i] for i in range(len(self.prod)))
+
+    def __getitem__(self, key):
+        key_prod = self.prod[key]
+        if isinstance(key, slice):
+            return [p[self.i] for p in key_prod]
+        else:
+            return key_prod[self.i]
+
+    def __len__(self):
+        return len(self.prod)
+
+
+class _LazyRange(object):
+    def __init__(self, length, offset):
+        self.length = length
+        self.offset = offset
+
+    def __getitem__(self, key):
+        if key >= self.offset:
+            return key - self.offset
+        else:
+            return ''
+
+    def __len__(self):
+        return self.length + self.offset
+
+
+class _LazyNone(object):
+    def __init__(self, length):
+        self.length = length
+
+    def __getitem__(self, key):
+        return ' '
+
+    def __len__(self):
+        return self.length
+
+
+def ndarray_to_array_and_labels(data):
+    """Converts an  Numpy ndarray into a 2D data array and x/y labels.
+
+    Parameters
+    ----------
+    data : numpy.ndarray
+        Input array.
+
+    Returns
+    -------
+    data : 2D array
+        Content of input array is returned as 2D array.
+    xlabels : list of sequences
+        Labels of rows.
+    ylabels : list of sequences
+        Labels of columns (cartesian product of of all axes
+        except the last one).
+    """
+    assert isinstance(data, np.ndarray)
+
+    if data.ndim == 0:
+        data.shape = (1, 1)
+        xlabels = [[], []]
+        ylabels = [[]]
+    else:
+        if data.ndim == 1:
+            data = data.reshape(1, data.shape[0])
+
+        xlabels = [["{{{}}}".format(i) for i in range(data.ndim)],
+                   range(data.shape[-1])]
+        coldims = 1
+        prod = Product([range(size) for size in data.shape[:-1]])
+        ylabels = [_LazyNone(len(prod) + coldims)] + [
+            _LazyDimLabels(prod, i) for i in range(data.ndim - 1)]
+
+    if data.ndim > 2:
+        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
+
+    return data, xlabels, ylabels
+
+
+def larray_to_array_and_labels(data):
+    """Converts an LArray into a 2D data array and x/y labels.
+
+    Parameters
+    ----------
+    data : LArray
+        Input LArray.
+
+    Returns
+    -------
+    data : 2D array
+        Content of input LArray is returned as 2D array.
+    xlabels : list of sequences
+        Labels of rows (names of axes + labels of last axis).
+    ylabels : list of sequences
+        Labels of columns (cartesian product of labels of all axes
+        except the last one).
+    """
+    assert isinstance(data, la.LArray)
+
+    xlabels = [data.axes.display_names, data.axes.labels[-1]]
+
+    otherlabels = data.axes.labels[:-1]
+    # ylabels = LazyLabels(otherlabels)
+    coldims = 1
+    # ylabels = [str(i) for i in range(len(row_labels))]
+    data = data.data[:]
+    if data.ndim == 1:
+        data = data.reshape(1, data.shape[0])
+        ylabels = [[]]
+    else:
+        prod = Product(otherlabels)
+        ylabels = [_LazyNone(len(prod) + coldims)] + [
+            _LazyDimLabels(prod, i) for i in range(len(otherlabels))]
+        # ylabels = [LazyRange(len(prod), coldims)] + [
+        #     LazyDimLabels(prod, i) for i in range(len(otherlabels))]
+
+    if data.ndim > 2:
+        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
+
+    return data, xlabels, ylabels
\ No newline at end of file
diff --git a/larray/viewer.py b/larray/viewer/view.py
similarity index 67%
rename from larray/viewer.py
rename to larray/viewer/view.py
index 233236ca8..a92d389e4 100644
--- a/larray/viewer.py
+++ b/larray/viewer/view.py
@@ -70,29 +70,23 @@
 
 from __future__ import print_function
 
-from collections import OrderedDict
-from itertools import chain
 import math
+import os
 import re
 import sys
-import os
-import traceback
+from itertools import chain
 
+import numpy as np
+from qtpy import PYQT5
+from qtpy.QtCore import (Qt, QPoint, QItemSelection, QItemSelectionModel, QItemSelectionRange, QSettings,
+                         QUrl, Slot)
+from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence, QDesktopServices,
+                        QIcon, QFontMetrics, QCursor)
 from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate, QListWidget, QSplitter,
                             QListWidgetItem, QLineEdit, QCheckBox, QGridLayout, QFileDialog, QDialog,
-                            QDialogButtonBox, QPushButton, QMessageBox, QMenu, QMenuBar, QMainWindow, QLabel,
+                            QDialogButtonBox, QPushButton, QMessageBox, QMenu, QMainWindow, QLabel,
                             QSpinBox, QWidget, QVBoxLayout, QAction, QStyle, QToolTip, QShortcut)
 
-from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence, QDesktopServices,
-                        QFont, QIcon, QFontMetrics, QCursor)
-
-from qtpy.QtCore import (Qt, QModelIndex, QAbstractTableModel, QPoint, QItemSelection, QItemSelectionModel,
-                         QItemSelectionRange, QVariant, QSettings, QUrl, Slot)
-
-from qtpy import PYQT5
-
-import numpy as np
-
 try:
     import matplotlib
     from matplotlib.figure import Figure
@@ -137,24 +131,17 @@
 except ImportError:
     qtconsole_available = False
 
+from larray.viewer.model import (ArrayModel, _, get_font, from_qvariant, to_qvariant, is_float, is_number,
+                                 larray_to_array_and_labels, ndarray_to_array_and_labels)
 
-from larray.combo import FilterComboBox, FilterMenu
+from larray.viewer.combo import FilterComboBox, FilterMenu
 import larray as la
 
-
-def _get_font(family, size, bold=False, italic=False):
-    weight = QFont.Bold if bold else QFont.Normal
-    font = QFont(family, size, weight)
-    if italic:
-        font.setItalic(True)
-    return to_qvariant(font)
+PY2 = sys.version[0] == '2'
 
 # Spyder compat
 # -------------
 
-PY2 = sys.version[0] == '2'
-
-
 class IconManager(object):
     def icon(self, ref):
         # By default, only X11 will support themed icons. In order to use
@@ -165,22 +152,6 @@ def icon(self, ref):
 ima = IconManager()
 
 
-def get_font(section):
-    return _get_font('Calibri', 11)
-
-
-def to_qvariant(obj=None):
-    return obj
-
-
-def from_qvariant(qobj=None, pytype=None):
-    # FIXME: force API level 2 instead of handling this
-    if isinstance(qobj, QVariant):
-        assert pytype is str
-        return pytype(qobj.toString())
-    return qobj
-
-
 def keybinding(attr):
     """Return keybinding"""
     ks = getattr(QKeySequence, attr)
@@ -201,85 +172,6 @@ def create_action(parent, text, icon=None, triggered=None, shortcut=None, status
     # action.setShortcutContext(Qt.WidgetShortcut)
     return action
 
-
-def _(text):
-    return text
-
-
-def to_text_string(obj, encoding=None):
-    """Convert `obj` to (unicode) text string"""
-    if PY2:
-        # Python 2
-        if encoding is None:
-            return unicode(obj)
-        else:
-            return unicode(obj, encoding)
-    else:
-        # Python 3
-        if encoding is None:
-            return str(obj)
-        elif isinstance(obj, str):
-            # In case this function is not used properly, this could happen
-            return obj
-        else:
-            return str(obj, encoding)
-
-
-def qapplication():
-    return QApplication(sys.argv)
-
-
-# =======================
-
-# Note: string and unicode data types will be formatted with '%s' (see below)
-SUPPORTED_FORMATS = {
-    'object': '%s',
-    'single': '%.2f',
-    'double': '%.2f',
-    'float_': '%.2f',
-    'longfloat': '%.2f',
-    'float32': '%.2f',
-    'float64': '%.2f',
-    'float96': '%.2f',
-    'float128': '%.2f',
-    'csingle': '%r',
-    'complex_': '%r',
-    'clongfloat': '%r',
-    'complex64': '%r',
-    'complex128': '%r',
-    'complex192': '%r',
-    'complex256': '%r',
-    'byte': '%d',
-    'short': '%d',
-    'intc': '%d',
-    'int_': '%d',
-    'longlong': '%d',
-    'intp': '%d',
-    'int8': '%d',
-    'int16': '%d',
-    'int32': '%d',
-    'int64': '%d',
-    'ubyte': '%d',
-    'ushort': '%d',
-    'uintc': '%d',
-    'uint': '%d',
-    'ulonglong': '%d',
-    'uintp': '%d',
-    'uint8': '%d',
-    'uint16': '%d',
-    'uint32': '%d',
-    'uint64': '%d',
-    'bool_': '%r',
-    'bool8': '%r',
-    'bool': '%r',
-}
-
-
-LARGE_SIZE = 5e5
-LARGE_NROWS = 1e5
-LARGE_COLS = 60
-
-
 def clear_layout(layout):
     for i in reversed(range(layout.count())):
         item = layout.itemAt(i)
@@ -289,79 +181,6 @@ def clear_layout(layout):
             widget.deleteLater()
         layout.removeItem(item)
 
-
-class Product(object):
-    """
-    Represents the `cartesian product` of several arrays.
-
-    Parameters
-    ----------
-    arrays : iterable of array
-        List of arrays on which to apply the cartesian product.
-
-    Examples
-    --------
-    >>> p = Product([['a', 'b', 'c'], [1, 2]])
-    >>> for i in range(len(p)):
-    ...     print(p[i])
-    ('a', 1)
-    ('a', 2)
-    ('b', 1)
-    ('b', 2)
-    ('c', 1)
-    ('c', 2)
-    >>> p[1:4]
-    [('a', 2), ('b', 1), ('b', 2)]
-    >>> list(p)
-    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
-    """
-    def __init__(self, arrays):
-        self.arrays = arrays
-        assert len(arrays)
-        shape = [len(a) for a in self.arrays]
-        self.div_mod = [(int(np.prod(shape[i + 1:])), shape[i])
-                        for i in range(len(shape))]
-        self.length = np.prod(shape)
-
-    def to_tuple(self, key):
-        if key >= self.length:
-            raise IndexError("index %d out of range for Product of length %d" % (key, self.length))
-        return tuple(key // div % mod for div, mod in self.div_mod)
-
-    def __len__(self):
-        return self.length
-
-    def __getitem__(self, key):
-        if isinstance(key, (int, np.integer)):
-            return tuple(array[i]
-                         for array, i in zip(self.arrays, self.to_tuple(key)))
-        else:
-            assert isinstance(key, slice), \
-                "key (%s) has invalid type (%s)" % (key, type(key))
-            start, stop, step = key.start, key.stop, key.step
-            if start is None:
-                start = 0
-            if stop is None:
-                stop = self.length
-            if step is None:
-                step = 1
-
-            return [tuple(array[i]
-                          for array, i in zip(self.arrays, self.to_tuple(i)))
-                    for i in range(start, stop, step)]
-
-
-def is_float(dtype):
-    """Return True if datatype dtype is a float kind"""
-    return ('float' in dtype.name) or dtype.name in ['single', 'double']
-
-
-def is_number(dtype):
-    """Return True is datatype dtype is a number kind"""
-    return is_float(dtype) or ('int' in dtype.name) or ('long' in dtype.name) \
-           or ('short' in dtype.name)
-
-
 def get_idx_rect(index_list):
     """Extract the boundaries from a list of indexes"""
     rows = [i.row() for i in index_list]
@@ -369,483 +188,6 @@ def get_idx_rect(index_list):
     return min(rows), max(rows), min(cols), max(cols)
 
 
-class ArrayModel(QAbstractTableModel):
-    """Array Editor Table Model.
-
-    Parameters
-    ----------
-    data : 2D NumPy array, optional
-        Input data (2D array).
-    format : str, optional
-        Indicates how data are represented in cells.
-        By default, they are represented as floats with 3 decimal points.
-    xlabels : array, optional
-        Row's labels.
-    ylables : array, optional
-        Column's labels.
-    readonly : bool, optional
-        If True, data cannot be changed. False by default.
-    font : QFont, optional
-        Font. Default is `Calibri` with size 11.
-    parent : QWidget, optional
-        Parent Widget.
-    bg_gradient : ???, optional
-        Background color gradient
-    bg_value : ???, optional
-        Background color value
-    minvalue : scalar
-        Minimum value allowed.
-    maxvalue : scalar
-        Maximum value allowed.
-    """
-
-    ROWS_TO_LOAD = 500
-    COLS_TO_LOAD = 40
-
-    def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
-                 readonly=False, font=None, parent=None,
-                 bg_gradient=None, bg_value=None, minvalue=None, maxvalue=None):
-        QAbstractTableModel.__init__(self)
-
-        self.dialog = parent
-        self.readonly = readonly
-        self._format = format
-
-        # Backgroundcolor settings
-        # TODO: use LinearGradient
-        # self.bgfunc = bgfunc
-        huerange = [.66, .99]  # Hue
-        self.sat = .7  # Saturation
-        self.val = 1.  # Value
-        self.alp = .6  # Alpha-channel
-        self.hue0 = huerange[0]
-        self.dhue = huerange[1] - huerange[0]
-        self.bgcolor_enabled = True
-        # hue = self.hue0
-        # color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
-        # self.color = to_qvariant(color)
-
-        if font is None:
-            font = get_font("arreditor")
-        self.font = font
-        bold_font = get_font("arreditor")
-        bold_font.setBold(True)
-        self.bold_font = bold_font
-
-        self.minvalue = minvalue
-        self.maxvalue = maxvalue
-        # TODO: check that data respects minvalue/maxvalue
-        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
-
-    def get_format(self):
-        """Return current format"""
-        # Avoid accessing the private attribute _format from outside
-        return self._format
-
-    def get_data(self):
-        """Return data"""
-        return self._data
-
-    def set_data(self, data, xlabels=None, ylabels=None, changes=None,
-                 bg_gradient=None, bg_value=None):
-        self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
-        self.reset()
-
-    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
-        if changes is None:
-            changes = {}
-        if data is None:
-            data = np.empty(0, dtype=np.int8).reshape(0, 0)
-        if data.dtype.names is None:
-            dtn = data.dtype.name
-            if dtn not in SUPPORTED_FORMATS and not dtn.startswith('str') \
-                    and not dtn.startswith('unicode'):
-                msg = _("%s arrays are currently not supported")
-                QMessageBox.critical(self.dialog, "Error", msg % data.dtype.name)
-                return
-        assert data.ndim == 2
-        self.test_array = np.array([0], dtype=data.dtype)
-
-        # for complex numbers, shading will be based on absolute value
-        # but for all other types it will be the real part
-        # TODO: there are a lot more complex dtypes than this. Is there a way to get them all in one shot?
-        if data.dtype in (np.complex64, np.complex128):
-            self.color_func = np.abs
-        else:
-            # XXX: this is a no-op (it returns the array itself) for most types (I think all non complex types)
-            #      => use an explicit nop?
-            # def nop(v):
-            #     return v
-            # self.color_func = nop
-            self.color_func = np.real
-        self.bg_gradient = bg_gradient
-        self.bg_value = bg_value
-
-        assert isinstance(changes, dict)
-        self.changes = changes
-        self._data = data
-        if xlabels is None:
-            xlabels = [[], []]
-        self.xlabels = xlabels
-        if ylabels is None:
-            ylabels = [[]]
-        self.ylabels = ylabels
-
-        self.total_rows = self._data.shape[0]
-        self.total_cols = self._data.shape[1]
-        size = self.total_rows * self.total_cols
-        self.reset_minmax()
-        # Use paging when the total size, number of rows or number of
-        # columns is too large
-        if size > LARGE_SIZE:
-            self.rows_loaded = min(self.ROWS_TO_LOAD, self.total_rows)
-            self.cols_loaded = min(self.COLS_TO_LOAD, self.total_cols)
-        else:
-            if self.total_rows > LARGE_NROWS:
-                self.rows_loaded = self.ROWS_TO_LOAD
-            else:
-                self.rows_loaded = self.total_rows
-            if self.total_cols > LARGE_COLS:
-                self.cols_loaded = self.COLS_TO_LOAD
-            else:
-                self.cols_loaded = self.total_cols
-
-    def reset_minmax(self):
-        # this will be awful to get right, because ideally, we should
-        # include self.changes.values() and ignore values corresponding to
-        # self.changes.keys()
-        data = self.get_values()
-        try:
-            color_value = self.color_func(data)
-            self.vmin = float(np.nanmin(color_value))
-            self.vmax = float(np.nanmax(color_value))
-            if self.vmax == self.vmin:
-                self.vmin -= 1
-            self.bgcolor_enabled = True
-        # ValueError for empty arrays
-        except (TypeError, ValueError):
-            self.vmin = None
-            self.vmax = None
-            self.bgcolor_enabled = False
-
-    def set_format(self, format):
-        """Change display format"""
-        self._format = format
-        self.reset()
-
-    def columnCount(self, qindex=QModelIndex()):
-        """Return array column number"""
-        return len(self.ylabels) - 1 + self.cols_loaded
-
-    def rowCount(self, qindex=QModelIndex()):
-        """Return array row number"""
-        return len(self.xlabels) - 1 + self.rows_loaded
-
-    def fetch_more_rows(self):
-        if self.total_rows > self.rows_loaded:
-            remainder = self.total_rows - self.rows_loaded
-            items_to_fetch = min(remainder, self.ROWS_TO_LOAD)
-            self.beginInsertRows(QModelIndex(), self.rows_loaded,
-                                 self.rows_loaded + items_to_fetch - 1)
-            self.rows_loaded += items_to_fetch
-            self.endInsertRows()
-
-    def fetch_more_columns(self):
-        if self.total_cols > self.cols_loaded:
-            remainder = self.total_cols - self.cols_loaded
-            items_to_fetch = min(remainder, self.COLS_TO_LOAD)
-            self.beginInsertColumns(QModelIndex(), self.cols_loaded,
-                                    self.cols_loaded + items_to_fetch - 1)
-            self.cols_loaded += items_to_fetch
-            self.endInsertColumns()
-
-    def bgcolor(self, state):
-        """Toggle backgroundcolor"""
-        self.bgcolor_enabled = state > 0
-        self.reset()
-
-    def get_labels(self, index):
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
-        if i < 0 or j < 0:
-            return ""
-        dim_names = self.xlabels[0]
-        ndim = len(dim_names)
-        last_dim_labels = self.xlabels[1]
-        # ylabels[0] are empty
-        labels = [self.ylabels[d + 1][i] for d in range(ndim - 1)] + \
-                 [last_dim_labels[j]]
-        return ", ".join("%s=%s" % (dim_name, label)
-                         for dim_name, label in zip(dim_names, labels))
-
-    def get_value(self, index):
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
-        if i < 0 and j < 0:
-            return ""
-        if i < 0:
-            return str(self.xlabels[i][j])
-        if j < 0:
-            return str(self.ylabels[j][i])
-        return self.changes.get((i, j), self._data[i, j])
-
-    def data(self, index, role=Qt.DisplayRole):
-        """Cell content"""
-        if not index.isValid():
-            return to_qvariant()
-        # if role == Qt.DecorationRole:
-        #     return ima.icon('editcopy')
-        # if role == Qt.DisplayRole:
-        #     return ""
-
-        if role == Qt.TextAlignmentRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
-                return to_qvariant(int(Qt.AlignCenter | Qt.AlignVCenter))
-            else:
-                return to_qvariant(int(Qt.AlignRight | Qt.AlignVCenter))
-
-        elif role == Qt.FontRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
-                return self.bold_font
-            else:
-                return self.font
-        # row, column = index.row(), index.column()
-        value = self.get_value(index)
-        if role == Qt.DisplayRole:
-            # if column == 0:
-            #     return to_qvariant(value)
-            if value is np.ma.masked:
-                return ''
-            # for headers
-            elif isinstance(value, str) and not isinstance(value, np.str_):
-                return value
-            else:
-                return to_qvariant(self._format % value)
-
-        elif role == Qt.BackgroundColorRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
-                color = QColor(Qt.lightGray)
-                color.setAlphaF(.4)
-                return color
-            elif self.bgcolor_enabled and value is not np.ma.masked:
-                if self.bg_gradient is None:
-                    maxdiff = self.vmax - self.vmin
-                    color_val = float(self.color_func(value))
-                    hue = self.hue0 + self.dhue * (self.vmax - color_val) / maxdiff
-                    color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
-                    return to_qvariant(color)
-                else:
-                    bg_value = self.bg_value
-                    x = index.row() - len(self.xlabels) + 1
-                    y = index.column() - len(self.ylabels) + 1
-                    # FIXME: this is buggy on filtered data. We should change
-                    # bg_value when changing the filter.
-                    idx = y + x * bg_value.shape[-1]
-                    value = bg_value.data.flat[idx]
-                    return self.bg_gradient[value]
-        elif role == Qt.ToolTipRole:
-            return to_qvariant("%s\n%s" %(repr(value),self.get_labels(index)))
-        return to_qvariant()
-
-    def get_values(self, left=0, top=0, right=None, bottom=None):
-        changes = self.changes
-        width, height = self.total_rows, self.total_cols
-        if right is None:
-            right = width
-        if bottom is None:
-            bottom = height
-        values = self._data[left:right, top:bottom].copy()
-        # both versions get the same result, but depending on inputs, the
-        # speed difference can be large.
-        if values.size < len(changes):
-            for i in range(left, right):
-                for j in range(top, bottom):
-                    pos = i, j
-                    if pos in changes:
-                        values[i - left, j - top] = changes[pos]
-        else:
-            for (i, j), value in changes.items():
-                if left <= i < right and top <= j < bottom:
-                    values[i - left, j - top] = value
-        return values
-
-    def convert_value(self, value):
-        """
-        Parameters
-        ----------
-        value : str
-        """
-        dtype = self._data.dtype
-        if dtype.name == "bool":
-            try:
-                return bool(float(value))
-            except ValueError:
-                return value.lower() == "true"
-        elif dtype.name.startswith("string"):
-            return str(value)
-        elif dtype.name.startswith("unicode"):
-            return to_text_string(value)
-        elif is_float(dtype):
-            return float(value)
-        elif is_number(dtype):
-            return int(value)
-        else:
-            return complex(value)
-
-    def convert_values(self, values):
-        values = np.asarray(values)
-        res = np.empty_like(values, dtype=self._data.dtype)
-        try:
-            # TODO: use array/vectorized conversion functions (but watch out
-            # for bool)
-            # new_data = str_array.astype(data.dtype)
-            for i, v in enumerate(values.flat):
-                res.flat[i] = self.convert_value(v)
-        except ValueError as e:
-            QMessageBox.critical(self.dialog, "Error",
-                                 "Value error: %s" % str(e))
-            return None
-        except OverflowError as e:
-            QMessageBox.critical(self.dialog, "Error",
-                                 "Overflow error: %s" % e.message)
-            return None
-        return res
-
-    def set_values(self, left, top, right, bottom, values):
-        """
-        Parameters
-        ----------
-        left : int
-        top : int
-        right : int
-            exclusive
-        bottom : int
-            exclusive
-        values : ndarray
-            must not be of the correct type
-
-        Returns
-        -------
-        tuple of QModelIndex or None
-            actual bounds (end bound is inclusive) if update was successful,
-            None otherwise
-        """
-        values = self.convert_values(values)
-        if values is None:
-            return
-        values = np.atleast_2d(values)
-        vshape = values.shape
-        vwidth, vheight = vshape
-        width, height = right - left, bottom - top
-        assert vwidth == 1 or vwidth == width
-        assert vheight == 1 or vheight == height
-
-        # Add change to self.changes
-        changes = self.changes
-        # requires numpy 1.10
-        newvalues = np.broadcast_to(values, (width, height))
-        oldvalues = np.empty_like(newvalues)
-        for i in range(width):
-            for j in range(height):
-                pos = left + i, top + j
-                old_value = changes.get(pos, self._data[pos])
-                oldvalues[i, j] = old_value
-                val = newvalues[i, j]
-                if val != old_value:
-                    changes[pos] = val
-
-        # Update vmin/vmax if necessary
-        if self.vmin is not None and self.vmax is not None:
-            colorval = self.color_func(values)
-            old_colorval = self.color_func(oldvalues)
-            if np.any(((old_colorval == self.vmax) & (colorval < self.vmax)) |
-                      ((old_colorval == self.vmin) & (colorval > self.vmin))):
-                self.reset_minmax()
-            if np.any(colorval > self.vmax):
-                self.vmax = float(np.nanmax(colorval))
-            if np.any(colorval < self.vmin):
-                self.vmin = float(np.nanmin(colorval))
-
-        xoffset = len(self.xlabels) - 1
-        yoffset = len(self.ylabels) - 1
-        top_left = self.index(left + xoffset, top + yoffset)
-        # -1 because Qt index end bounds are inclusive
-        bottom_right = self.index(right + xoffset - 1, bottom + yoffset - 1)
-        self.dataChanged.emit(top_left, bottom_right)
-        return top_left, bottom_right
-
-    def setData(self, index, value, role=Qt.EditRole):
-        """Cell content change"""
-        if not index.isValid() or self.readonly:
-            return False
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
-        result = self.set_values(i, j, i + 1, j + 1, from_qvariant(value, str))
-        return result is not None
-
-    def flags(self, index):
-        """Set editable flag"""
-        if not index.isValid():
-            return Qt.ItemIsEnabled
-        if (index.row() < len(self.xlabels) - 1) or \
-                (index.column() < len(self.ylabels) - 1):
-            return Qt.ItemIsEnabled #QAbstractTableModel.flags(self, index)
-        flags = QAbstractTableModel.flags(self, index)
-        if not self.readonly:
-            flags |= Qt.ItemIsEditable
-        return Qt.ItemFlags(flags)
-
-    def headerData(self, section, orientation, role=Qt.DisplayRole):
-        """Set header data"""
-        horizontal = orientation == Qt.Horizontal
-        # if role == Qt.ToolTipRole:
-        #     if horizontal:
-        #         return to_qvariant("horiz %d" % section)
-        #     else:
-        #         return to_qvariant("vert %d" % section)
-        if role != Qt.DisplayRole:
-            # roles = {0: "display", 2: "edit",
-            #          8: "background", 9: "foreground",
-            #          13: "sizehint", 4: "statustip", 11: "accessibletext",
-            #          1: "decoration", 6: "font", 7: "textalign",
-            #          10: "checkstate"}
-            # print("section", section, "ori", orientation,
-            #       "role", roles.get(role, role), "result",
-            #       super(ArrayModel, self).headerData(section, orientation,
-            #                                          role))
-            return to_qvariant()
-
-        labels, other = self.xlabels, self.ylabels
-        if not horizontal:
-            labels, other = other, labels
-        if labels is None:
-            shape = self._data.shape
-            # prefer a blank cell to one cell named "0"
-            if not shape or shape[int(horizontal)] == 1:
-                return to_qvariant()
-            else:
-                return to_qvariant(int(section))
-        else:
-            if section < len(labels[0]):
-                return to_qvariant(labels[0][section])
-            #     #section = section - len(other) + 1
-            else:
-                return to_qvariant()
-
-            # return to_qvariant(labels[0][section])
-            # if len(other) - 1 <= section < len(labels[0]):
-            #     #section = section - len(other) + 1
-            # else:
-            #     return to_qvariant("a")
-
-    def reset(self):
-        self.beginResetModel()
-        self.endResetModel()
-
-
 class ArrayDelegate(QItemDelegate):
     """Array Editor Item Delegate"""
     def __init__(self, dtype, parent=None, font=None,
@@ -1664,171 +1006,6 @@ def map_filtered_to_global(self, k):
         return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
 
 
-class _LazyLabels(object):
-    def __init__(self, arrays):
-        self.prod = Product(arrays)
-
-    def __getitem__(self, key):
-        return ' '.join(self.prod[key])
-
-    def __len__(self):
-        return len(self.prod)
-
-
-class _LazyDimLabels(object):
-    """
-    Examples
-    --------
-    >>> p = Product([['a', 'b', 'c'], [1, 2]])
-    >>> list(p)
-    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
-    >>> l0 = _LazyDimLabels(p, 0)
-    >>> l1 = _LazyDimLabels(p, 1)
-    >>> for i in range(len(p)):
-    ...     print(l0[i], l1[i])
-    a 1
-    a 2
-    b 1
-    b 2
-    c 1
-    c 2
-    >>> l0[1:4]
-    ['a', 'b', 'b']
-    >>> l1[1:4]
-    [2, 1, 2]
-    >>> list(l0)
-    ['a', 'a', 'b', 'b', 'c', 'c']
-    >>> list(l1)
-    [1, 2, 1, 2, 1, 2]
-    """
-    def __init__(self, prod, i):
-        self.prod = prod
-        self.i = i
-
-    def __iter__(self):
-        return iter(self.prod[i][self.i] for i in range(len(self.prod)))
-
-    def __getitem__(self, key):
-        key_prod = self.prod[key]
-        if isinstance(key, slice):
-            return [p[self.i] for p in key_prod]
-        else:
-            return key_prod[self.i]
-
-    def __len__(self):
-        return len(self.prod)
-
-
-class _LazyRange(object):
-    def __init__(self, length, offset):
-        self.length = length
-        self.offset = offset
-
-    def __getitem__(self, key):
-        if key >= self.offset:
-            return key - self.offset
-        else:
-            return ''
-
-    def __len__(self):
-        return self.length + self.offset
-
-
-class _LazyNone(object):
-    def __init__(self, length):
-        self.length = length
-
-    def __getitem__(self, key):
-        return ' '
-
-    def __len__(self):
-        return self.length
-
-
-def ndarray_to_array_and_labels(data):
-    """Converts an  Numpy ndarray into a 2D data array and x/y labels.
-
-    Parameters
-    ----------
-    data : numpy.ndarray
-        Input array.
-
-    Returns
-    -------
-    data : 2D array
-        Content of input array is returned as 2D array.
-    xlabels : list of sequences
-        Labels of rows.
-    ylabels : list of sequences
-        Labels of columns (cartesian product of of all axes
-        except the last one).
-    """
-    assert isinstance(data, np.ndarray)
-
-    if data.ndim == 0:
-        data.shape = (1, 1)
-        xlabels = [[], []]
-        ylabels = [[]]
-    else:
-        if data.ndim == 1:
-            data = data.reshape(1, data.shape[0])
-
-        xlabels = [["{{{}}}".format(i) for i in range(data.ndim)],
-                   range(data.shape[-1])]
-        coldims = 1
-        prod = Product([range(size) for size in data.shape[:-1]])
-        ylabels = [_LazyNone(len(prod) + coldims)] + [
-            _LazyDimLabels(prod, i) for i in range(data.ndim - 1)]
-
-    if data.ndim > 2:
-        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
-
-    return data, xlabels, ylabels
-
-
-def larray_to_array_and_labels(data):
-    """Converts an LArray into a 2D data array and x/y labels.
-
-    Parameters
-    ----------
-    data : LArray
-        Input LArray.
-
-    Returns
-    -------
-    data : 2D array
-        Content of input LArray is returned as 2D array.
-    xlabels : list of sequences
-        Labels of rows (names of axes + labels of last axis).
-    ylabels : list of sequences
-        Labels of columns (cartesian product of labels of all axes
-        except the last one).
-    """
-    assert isinstance(data, la.LArray)
-
-    xlabels = [data.axes.display_names, data.axes.labels[-1]]
-
-    otherlabels = data.axes.labels[:-1]
-    # ylabels = LazyLabels(otherlabels)
-    coldims = 1
-    # ylabels = [str(i) for i in range(len(row_labels))]
-    data = data.data[:]
-    if data.ndim == 1:
-        data = data.reshape(1, data.shape[0])
-        ylabels = [[]]
-    else:
-        prod = Product(otherlabels)
-        ylabels = [_LazyNone(len(prod) + coldims)] + [
-            _LazyDimLabels(prod, i) for i in range(len(otherlabels))]
-        # ylabels = [LazyRange(len(prod), coldims)] + [
-        #     LazyDimLabels(prod, i) for i in range(len(otherlabels))]
-
-    if data.ndim > 2:
-        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
-
-    return data, xlabels, ylabels
-
-
 class ArrayEditor(QDialog):
     """Array Editor Dialog"""
     def __init__(self, parent=None):
@@ -2750,290 +1927,3 @@ def on_item_changed(self, curr, prev):
         self.maxdiff_label.setText(str(absmax))
         self.arraywidget.set_data(array, bg_value=bg_value,
                                   bg_gradient=self.gradient)
-
-
-def find_names(obj, depth=0):
-    """Return all names an object is bound to.
-
-    Parameters
-    ----------
-    obj : object
-        the object to find names for.
-    depth : int
-        depth of call frame to inspect. 0 is where find_names was called,
-        1 the caller of find_names, etc.
-
-    Returns
-    -------
-    list of str
-        all names obj is bound to, sorted alphabetically. Can be [] if we
-        computed an array just to view it.
-    """
-    # noinspection PyProtectedMember
-    l = sys._getframe(depth + 1).f_locals
-    return sorted(k for k, v in l.items() if v is obj)
-
-
-def get_title(obj, depth=0, maxnames=3):
-    """Return a title for an object (a combination of the names it is bound to).
-
-    Parameters
-    ----------
-    obj : object
-        the object to find a title for.
-    depth : int
-        depth of call frame to inspect. 0 is where get_title was called,
-        1 the caller of get_title, etc.
-
-    Returns
-    -------
-    str
-        title for obj. This can be '' if we computed an array just to view it.
-    """
-    names = find_names(obj, depth=depth + 1)
-    # names can be == []
-    # eg. view(arr['M'])
-    if len(names) > maxnames:
-        names = names[:maxnames] + ['...']
-    return ', '.join(names)
-
-
-def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
-    """
-    Opens a new editor window. If no object is given,
-    all local arrays are loaded in the editor.
-
-    obj : np.ndarray, LArray, Session, dict or str, optional
-        Object to visualize. If string, array(s) will be loaded
-        from the file given as argument.
-        Defaults to the collection of all local variables where
-        the function was called.
-    title : str, optional
-        Title for the current object.
-        A default one is generated if not provided.
-    minvalue : scalar, optional
-        Minimum value allowed.
-    maxvalue : scalar, optional
-        Maximum value allowed.
-    readonly : bool, optional
-        Whether or not editing array values is forbidden Defaults to False.
-    depth : int, optional
-        Stack depth where to look for variables.
-    """
-    _app = QApplication.instance()
-    if _app is None:
-        install_except_hook()
-        _app = qapplication()
-        _app.setOrganizationName("LArray")
-        _app.setApplicationName("Viewer")
-        parent = None
-    else:
-        parent = _app.activeWindow()
-
-    if obj is None:
-        local_vars = sys._getframe(depth + 1).f_locals
-        obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
-
-    if isinstance(obj, str):
-        if os.path.exists(obj):
-            obj = la.Session(obj)
-        else:
-            raise ValueError("file {} not found".format(obj))
-
-    if not title:
-        title = get_title(obj, depth=depth + 1)
-
-    dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
-    if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
-        if parent or isinstance(dlg, MappingEditor):
-            dlg.show()
-        else:
-            dlg.exec_()
-    if parent is None:
-        restore_except_hook()
-
-    _app.exec_()
-
-def view(obj=None, title='', depth=0):
-    """
-    Starts a new viewer window. Arrays are loaded in
-    readonly mode and their content cannot be modified.
-
-    If no object is given, all local arrays are loaded in the editor.
-
-    obj : np.ndarray, LArray, Session, dict or str, optional
-        Object to visualize. If string, array(s) will be loaded
-        from the file given as argument.
-        Defaults to the collection of all local variables where
-        the function was called.
-    title : str, optional
-        Title for the current object.
-        A default one is generated if not provided.
-    """
-    edit(obj, title=title, readonly=True, depth=depth + 1)
-
-
-def compare(*args, **kwargs):
-    title = kwargs.pop('title', '')
-    _app = QApplication.instance()
-    if _app is None:
-        install_except_hook()
-        _app = qapplication()
-        parent = None
-    else:
-        parent = _app.activeWindow()
-
-    if any(isinstance(a, la.Session) for a in args):
-        dlg = SessionComparator(parent)
-        default_name = 'session'
-    else:
-        dlg = ArrayComparator(parent)
-        default_name = 'array'
-
-    def get_name(i, obj, depth=0):
-        obj_names = find_names(obj, depth=depth + 1)
-        return obj_names[0] if obj_names else '%s %d' % (default_name, i)
-
-    names = [get_name(i, a, depth=1) for i, a in enumerate(args)]
-    if dlg.setup_and_check(args, names=names, title=title):
-        if parent:
-            dlg.show()
-        else:
-            dlg.exec_()
-    if parent is None:
-        restore_except_hook()
-
-
-_orig_except_hook = sys.excepthook
-
-
-def _qt_except_hook(type, value, tback):
-    # only print the exception and do *not* exit the program
-    traceback.print_exception(type, value, tback)
-
-
-def install_except_hook():
-    sys.excepthook = _qt_except_hook
-
-
-def restore_except_hook():
-    sys.excepthook = _orig_except_hook
-
-
-_orig_display_hook = sys.displayhook
-
-
-def _qt_display_hook(value):
-    if isinstance(value, la.LArray):
-        view(value)
-    else:
-        _orig_display_hook(value)
-
-
-def install_display_hook():
-    sys.displayhook = _qt_display_hook
-
-
-def restore_display_hook():
-    sys.displayhook = _orig_display_hook
-
-
-if __name__ == "__main__":
-    """Array editor test"""
-
-    lipro = la.Axis(['P%02d' % i for i in range(1, 16)], 'lipro')
-    age = la.Axis('age=0..115')
-    sex = la.Axis('sex=M,F')
-
-    vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
-          'A43,A44,A45,A46,A71,A72,A73'
-    wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \
-          'A83,A84,A85,A91,A92,A93'
-    bru = 'A21'
-    # list of strings
-    belgium = la.union(vla, wal, bru)
-
-    geo = la.Axis(belgium, 'geo')
-
-    # data1 = np.arange(30).reshape(2, 15)
-    # arr1 = la.LArray(data1, axes=(sex, lipro))
-    # edit(arr1)
-
-    # data2 = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
-    #           .astype(float)
-    # data2 = np.random.random(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
-    #           .astype(float)
-    # data2 = (np.random.randint(10, size=(116, 44, 2, 15)) - 5) / 17
-    # data2 = np.random.randint(10, size=(116, 44, 2, 15)) / 100 + 1567
-    # data2 = np.random.normal(51000000, 10000000, size=(116, 44, 2, 15))
-    data2 = np.random.normal(0, 1, size=(116, 44, 2, 15))
-    arr2 = la.LArray(data2, axes=(age, geo, sex, lipro))
-    # arr2 = la.ndrange([100, 100, 100, 100, 5])
-    # arr2 = arr2['F', 'A11', 1]
-
-    # view(arr2[0, 'A11', 'F', 'P01'])
-    # view(arr1)
-    # view(arr2[0, 'A11'])
-    # edit(arr1)
-    # print(arr2[0, 'A11', :, 'P01'])
-    # edit(arr2.astype(int), minvalue=-99, maxvalue=55.123456)
-    # edit(arr2.astype(int), minvalue=-99)
-    # arr2.i[0, 0, 0, 0] = np.inf
-    # arr2.i[0, 0, 1, 1] = -np.inf
-    # arr2 = [0.0000111, 0.0000222]
-    # arr2 = [0.00001, 0.00002]
-    # edit(arr2, minvalue=-99, maxvalue=25.123456)
-    # print(arr2[0, 'A11', :, 'P01'])
-
-    # data2 = np.random.normal(0, 10.0, size=(5000, 20))
-    # arr2 = la.LArray(data2,
-    #                  axes=(la.Axis(list(range(5000)), 'd0'),
-    #                        la.Axis(list(range(20)), 'd1')))
-    # edit(arr2)
-
-    # view(['a', 'bb', 5599])
-    # view(np.arange(12).reshape(2, 3, 2))
-    # view([])
-
-    data3 = np.random.normal(0, 1, size=(2, 15))
-    arr3 = la.ndrange((30, sex))
-    # data4 = np.random.normal(0, 1, size=(2, 15))
-    # arr4 = la.LArray(data4, axes=(sex, lipro))
-
-    # arr4 = arr3.copy()
-    # arr4['F'] /= 2
-    arr4 = arr3.min(la.x.sex)
-    arr5 = arr3.max(la.x.sex)
-    arr6 = arr3.mean(la.x.sex)
-
-    # test isssue #35
-    arr7 = la.from_lists([['a',                   1,                    2,                    3],
-                          [ '', 1664780726569649730, -9196963249083393206, -7664327348053294350]])
-
-    # compare(arr3, arr4, arr5, arr6)
-
-    # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
-    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
-                     data2=data2, data3=data3)
-    edit(ses)
-
-    # s = la.local_arrays()
-    # view(s)
-    # print('HDF')
-    # s.save('x.h5')
-    # print('\nEXCEL')
-    # s.save('x.xlsx')
-    # print('\nCSV')
-    # s.save('x_csv')
-    # print('\n open HDF')
-    # edit('x.h5')
-    # print('\n open EXCEL')
-    # edit('x.xlsx')
-    # print('\n open CSV')
-    # edit('x_csv')
-
-    # compare(arr3, arr4, arr5, arr6)
-
-    # arr3 = la.ndrange((1000, 1000, 500))
-    # print(arr3.nbytes * 1e-9 + 'Gb')
-    # edit(arr3, minvalue=-99, maxvalue=25.123456)

From 96a4f93b1d5aa6473aac3bf8938dcf4cac08e685 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 10 May 2017 16:14:44 +0200
Subject: [PATCH 563/899] fix #243 : removed | when displaying arrays

updated all doctests and tests to include change in display of arrays
---
 larray/core.py          | 2380 +++++++++++++++++++--------------------
 larray/ipfp.py          |   20 +-
 larray/tests/test_la.py |   50 +-
 larray/utils.py         |    2 +-
 4 files changed, 1225 insertions(+), 1227 deletions(-)

diff --git a/larray/core.py b/larray/core.py
index 946496762..7e11ce05e 100644
--- a/larray/core.py
+++ b/larray/core.py
@@ -746,9 +746,9 @@ def larray_equal(a1, a2):
     --------
     >>> arr1 = ndtest((2, 3))
     >>> arr1
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
     >>> arr2 = arr1.copy()
     >>> larray_equal(arr1, arr2)
     True
@@ -790,9 +790,9 @@ def larray_nan_equal(a1, a2):
     >>> arr1 = ndtest((2, 3), dtype=float)
     >>> arr1['a1', 'b1'] = nan
     >>> arr1
-    a\\b |  b0 |  b1 |  b2
-     a0 | 0.0 | 1.0 | 2.0
-     a1 | 3.0 | nan | 5.0
+    a\\b   b0   b1   b2
+     a0  0.0  1.0  2.0
+     a1  3.0  nan  5.0
     >>> arr2 = arr1.copy()
     >>> larray_equal(arr1, arr2)
     False
@@ -1006,13 +1006,13 @@ def i(self):
         >>> time = Axis([2007, 2008, 2009, 2010], 'time')
         >>> arr = ndrange([sex, time])
         >>> arr
-        sex\\time | 2007 | 2008 | 2009 | 2010
-               M |    0 |    1 |    2 |    3
-               F |    4 |    5 |    6 |    7
+        sex\\time  2007  2008  2009  2010
+               M     0     1     2     3
+               F     4     5     6     7
         >>> arr[time.i[0, -1]]
-        sex\\time | 2007 | 2010
-               M |    0 |    3
-               F |    4 |    7
+        sex\\time  2007  2010
+               M     0     3
+               F     4     7
         """
         return PGroupMaker(self)
 
@@ -4128,11 +4128,11 @@ def get_axis(obj, i):
     --------
     >>> arr = ndtest((2, 2, 2))
     >>> arr
-     a | b\c | c0 | c1
-    a0 |  b0 |  0 |  1
-    a0 |  b1 |  2 |  3
-    a1 |  b0 |  4 |  5
-    a1 |  b1 |  6 |  7
+     a  b\c  c0  c1
+    a0   b0   0   1
+    a0   b1   2   3
+    a1   b0   4   5
+    a1   b1   6   7
     >>> get_axis(arr, 1)
     Axis(['b0', 'b1'], 'b')
     >>> np_arr = np.zeros((2, 2, 2))
@@ -4160,18 +4160,18 @@ def aslarray(a):
     >>> # NumPy array
     >>> np_arr = np.arange(6).reshape((2,3))
     >>> aslarray(np_arr)
-    {0}*\{1}* | 0 | 1 | 2
-            0 | 0 | 1 | 2
-            1 | 3 | 4 | 5
+    {0}*\{1}*  0  1  2
+            0  0  1  2
+            1  3  4  5
     >>> # Pandas dataframe
     >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
     ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
     >>> df = pd.DataFrame(data)
     >>> aslarray(df)
-    {0}\{1} | normal | reverse
-          a |    1.0 |     3.0
-          b |    2.0 |     2.0
-          c |    3.0 |     1.0
+    {0}\{1}  normal  reverse
+          a     1.0      3.0
+          b     2.0      2.0
+          c     3.0      1.0
     """
     if isinstance(a, LArray):
         return a
@@ -4369,40 +4369,40 @@ class LArray(object):
     >>> axes = [age, sex, time]
     >>> data = np.zeros((len(axes), len(sex), len(time)))
     >>> LArray(data, axes)
-    age | sex\\time | 2007 | 2008 | 2009
-     10 |        M |  0.0 |  0.0 |  0.0
-     10 |        F |  0.0 |  0.0 |  0.0
-     11 |        M |  0.0 |  0.0 |  0.0
-     11 |        F |  0.0 |  0.0 |  0.0
-     12 |        M |  0.0 |  0.0 |  0.0
-     12 |        F |  0.0 |  0.0 |  0.0
+    age  sex\\time  2007  2008  2009
+     10         M   0.0   0.0   0.0
+     10         F   0.0   0.0   0.0
+     11         M   0.0   0.0   0.0
+     11         F   0.0   0.0   0.0
+     12         M   0.0   0.0   0.0
+     12         F   0.0   0.0   0.0
     >>> full(axes, 10.0)
-    age | sex\\time | 2007 | 2008 | 2009
-     10 |        M | 10.0 | 10.0 | 10.0
-     10 |        F | 10.0 | 10.0 | 10.0
-     11 |        M | 10.0 | 10.0 | 10.0
-     11 |        F | 10.0 | 10.0 | 10.0
-     12 |        M | 10.0 | 10.0 | 10.0
-     12 |        F | 10.0 | 10.0 | 10.0
+    age  sex\\time  2007  2008  2009
+     10         M  10.0  10.0  10.0
+     10         F  10.0  10.0  10.0
+     11         M  10.0  10.0  10.0
+     11         F  10.0  10.0  10.0
+     12         M  10.0  10.0  10.0
+     12         F  10.0  10.0  10.0
     >>> arr = empty(axes)
     >>> arr['F'] = 1.0
     >>> arr['M'] = -1.0
     >>> arr
-    age | sex\\time | 2007 | 2008 | 2009
-     10 |        M | -1.0 | -1.0 | -1.0
-     10 |        F |  1.0 |  1.0 |  1.0
-     11 |        M | -1.0 | -1.0 | -1.0
-     11 |        F |  1.0 |  1.0 |  1.0
-     12 |        M | -1.0 | -1.0 | -1.0
-     12 |        F |  1.0 |  1.0 |  1.0
+    age  sex\\time  2007  2008  2009
+     10         M  -1.0  -1.0  -1.0
+     10         F   1.0   1.0   1.0
+     11         M  -1.0  -1.0  -1.0
+     11         F   1.0   1.0   1.0
+     12         M  -1.0  -1.0  -1.0
+     12         F   1.0   1.0   1.0
     >>> bysex = create_sequential(sex, initial=-1, inc=2)
     >>> bysex
-    sex |  M | F
-        | -1 | 1
+    sex   M  F
+         -1  1
     >>> create_sequential(age, initial=10, inc=bysex)
-    sex\\age | 10 | 11 | 12
-          M | 10 |  9 |  8
-          F | 10 | 11 | 12
+    sex\\age  10  11  12
+          M  10   9   8
+          F  10  11  12
     """
 
     def __init__(self,
@@ -4446,9 +4446,9 @@ def nonzero(self):
         --------
         >>> arr = ndtest((2, 3)) % 2
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  0
-         a1 |  1 |  0 |  1
+        a\\b  b0  b1  b2
+         a0   0   1   0
+         a1   1   0   1
         >>> arr.nonzero() # doctest: +SKIP
         [array([0, 1, 1]), array([1, 0, 2])]
         """
@@ -4488,18 +4488,18 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         --------
         >>> arr = ndtest((2, 3))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
         >>> row = Axis(['r0', 'r1'], 'row')
         >>> column = Axis(['c0', 'c1', 'c2'], 'column')
 
         Replace one axis (second argument `new_axis` must be provided)
 
         >>> arr.set_axes(x.a, row)
-        row\\b | b0 | b1 | b2
-           r0 |  0 |  1 |  2
-           r1 |  3 |  4 |  5
+        row\\b  b0  b1  b2
+           r0   0   1   2
+           r1   3   4   5
 
         Replace several axes (keywords, list of tuple or dictionary)
 
@@ -4508,21 +4508,21 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         >>> arr.set_axes([(x.a, row), (x.b, column)]) # doctest: +SKIP
         >>> # or
         >>> arr.set_axes({x.a: row, x.b: column})
-        row\\column | c0 | c1 | c2
-                r0 |  0 |  1 |  2
-                r1 |  3 |  4 |  5
+        row\\column  c0  c1  c2
+                r0   0   1   2
+                r1   3   4   5
 
         Replace all axes (list of axes or AxisCollection)
 
         >>> arr.set_axes([row, column])
-        row\\column | c0 | c1 | c2
-                r0 |  0 |  1 |  2
-                r1 |  3 |  4 |  5
+        row\\column  c0  c1  c2
+                r0   0   1   2
+                r1   3   4   5
         >>> arr2 = ndrange([row, column])
         >>> arr.set_axes(arr2.axes)
-        row\\column | c0 | c1 | c2
-                r0 |  0 |  1 |  2
-                r1 |  3 |  4 |  5
+        row\\column  c0  c1  c2
+                r0   0   1   2
+                r1   3   4   5
         """
         new_axes = self.axes.replace(axes_to_replace, new_axis, **kwargs)
         if inplace:
@@ -4572,20 +4572,20 @@ def i(self):
         --------
         >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2 | c3
-        a0 |  b0 |  0 |  1 |  2 |  3
-        a0 |  b1 |  4 |  5 |  6 |  7
-        a0 |  b2 |  8 |  9 | 10 | 11
-        a1 |  b0 | 12 | 13 | 14 | 15
-        a1 |  b1 | 16 | 17 | 18 | 19
-        a1 |  b2 | 20 | 21 | 22 | 23
+         a  b\\c  c0  c1  c2  c3
+        a0   b0   0   1   2   3
+        a0   b1   4   5   6   7
+        a0   b2   8   9  10  11
+        a1   b0  12  13  14  15
+        a1   b1  16  17  18  19
+        a1   b2  20  21  22  23
 
         >>> arr.i[:, 0:2, [0,2]]
-         a | b\\c | c0 | c2
-        a0 |  b0 |  0 |  2
-        a0 |  b1 |  4 |  6
-        a1 |  b0 | 12 | 14
-        a1 |  b1 | 16 | 18
+         a  b\\c  c0  c2
+        a0   b0   0   2
+        a0   b1   4   6
+        a1   b0  12  14
+        a1   b1  16  18
         """
         return LArrayPositionalIndexer(self)
 
@@ -4599,20 +4599,20 @@ def points(self):
         --------
         >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2 | c3
-        a0 |  b0 |  0 |  1 |  2 |  3
-        a0 |  b1 |  4 |  5 |  6 |  7
-        a0 |  b2 |  8 |  9 | 10 | 11
-        a1 |  b0 | 12 | 13 | 14 | 15
-        a1 |  b1 | 16 | 17 | 18 | 19
-        a1 |  b2 | 20 | 21 | 22 | 23
+         a  b\\c  c0  c1  c2  c3
+        a0   b0   0   1   2   3
+        a0   b1   4   5   6   7
+        a0   b2   8   9  10  11
+        a1   b0  12  13  14  15
+        a1   b1  16  17  18  19
+        a1   b2  20  21  22  23
 
         To select the two points with label coordinates
         [a0, b0, c0] and [a1, b2, c2], you must do:
 
         >>> arr.points['a0,a1', 'b0,b2', 'c0,c2']
-        a,b,c | a0,b0,c0 | a1,b2,c2
-              |        0 |       22
+        a,b,c  a0,b0,c0  a1,b2,c2
+                      0        22
 
         The number of label(s) on each dimension must be equal:
 
@@ -4633,20 +4633,20 @@ def ipoints(self):
         --------
         >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2 | c3
-        a0 |  b0 |  0 |  1 |  2 |  3
-        a0 |  b1 |  4 |  5 |  6 |  7
-        a0 |  b2 |  8 |  9 | 10 | 11
-        a1 |  b0 | 12 | 13 | 14 | 15
-        a1 |  b1 | 16 | 17 | 18 | 19
-        a1 |  b2 | 20 | 21 | 22 | 23
+         a  b\\c  c0  c1  c2  c3
+        a0   b0   0   1   2   3
+        a0   b1   4   5   6   7
+        a0   b2   8   9  10  11
+        a1   b0  12  13  14  15
+        a1   b1  16  17  18  19
+        a1   b2  20  21  22  23
 
         To select the two points with index coordinates
         [0, 0, 0] and [1, 2, 2], you must do:
 
         >>> arr.ipoints[[0,1], [0,2], [0,2]]
-        a,b,c | a0,b0,c0 | a1,b2,c2
-              |        0 |       22
+        a,b,c  a0,b0,c0  a1,b2,c2
+                      0        22
 
         The number of index(es) on each dimension must be equal:
 
@@ -4786,14 +4786,14 @@ def describe(self, *args, **kwargs):
         --------
         >>> arr = LArray([0, 6, 2, 5, 4, 3, 1, 3], 'year=2013..2020')
         >>> arr
-        year | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
-             |    0 |    6 |    2 |    5 |    4 |    3 |    1 |    3
+        year  2013  2014  2015  2016  2017  2018  2019  2020
+                 0     6     2     5     4     3     1     3
         >>> arr.describe()
-        statistic | count | mean | std | min |  25% | 50% |  75% | max
-                  |   8.0 |  3.0 | 2.0 | 0.0 | 1.75 | 3.0 | 4.25 | 6.0
+        statistic  count  mean  std  min   25%  50%   75%  max
+                     8.0   3.0  2.0  0.0  1.75  3.0  4.25  6.0
         >>> arr.describe(percentiles=[50, 90])
-        statistic | count | mean | std | min | 50% | 90% | max
-                  |   8.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.3 | 6.0
+        statistic  count  mean  std  min  50%  90%  max
+                     8.0   3.0  2.0  0.0  3.0  5.3  6.0
         """
         # retrieve kw-only arguments
         percentiles = kwargs.pop('percentiles', None)
@@ -4838,23 +4838,23 @@ def describe_by(self, *args, **kwargs):
         >>> data = [[0, 6, 3, 5, 4, 2, 1, 3], [7, 5, 3, 2, 8, 5, 6, 4]]
         >>> arr = LArray(data, 'gender=Male,Female;year=2013..2020').astype(float)
         >>> arr
-        gender\year | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020
-               Male |  0.0 |  6.0 |  3.0 |  5.0 |  4.0 |  2.0 |  1.0 |  3.0
-             Female |  7.0 |  5.0 |  3.0 |  2.0 |  8.0 |  5.0 |  6.0 |  4.0
+        gender\year  2013  2014  2015  2016  2017  2018  2019  2020
+               Male   0.0   6.0   3.0   5.0   4.0   2.0   1.0   3.0
+             Female   7.0   5.0   3.0   2.0   8.0   5.0   6.0   4.0
         >>> arr.describe_by('gender')
-        gender\statistic | count | mean | std | min |  25% | 50% |  75% | max
-                    Male |   8.0 |  3.0 | 2.0 | 0.0 | 1.75 | 3.0 | 4.25 | 6.0
-                  Female |   8.0 |  5.0 | 2.0 | 2.0 | 3.75 | 5.0 | 6.25 | 8.0
+        gender\statistic  count  mean  std  min   25%  50%   75%  max
+                    Male    8.0   3.0  2.0  0.0  1.75  3.0  4.25  6.0
+                  Female    8.0   5.0  2.0  2.0  3.75  5.0  6.25  8.0
         >>> arr.describe_by('gender', (x.year[:2015], x.year[2018:]))
-        gender | year\statistic | count | mean | std | min | 25% | 50% | 75% | max
-          Male |          :2015 |   3.0 |  3.0 | 3.0 | 0.0 | 1.5 | 3.0 | 4.5 | 6.0
-          Male |          2018: |   3.0 |  2.0 | 1.0 | 1.0 | 1.5 | 2.0 | 2.5 | 3.0
-        Female |          :2015 |   3.0 |  5.0 | 2.0 | 3.0 | 4.0 | 5.0 | 6.0 | 7.0
-        Female |          2018: |   3.0 |  5.0 | 1.0 | 4.0 | 4.5 | 5.0 | 5.5 | 6.0
+        gender  year\statistic  count  mean  std  min  25%  50%  75%  max
+          Male           :2015    3.0   3.0  3.0  0.0  1.5  3.0  4.5  6.0
+          Male           2018:    3.0   2.0  1.0  1.0  1.5  2.0  2.5  3.0
+        Female           :2015    3.0   5.0  2.0  3.0  4.0  5.0  6.0  7.0
+        Female           2018:    3.0   5.0  1.0  4.0  4.5  5.0  5.5  6.0
         >>> arr.describe_by('gender', percentiles=[50, 90])
-        gender\statistic | count | mean | std | min | 50% | 90% | max
-                    Male |   8.0 |  3.0 | 2.0 | 0.0 | 3.0 | 5.3 | 6.0
-                  Female |   8.0 |  5.0 | 2.0 | 2.0 | 5.0 | 7.3 | 8.0
+        gender\statistic  count  mean  std  min  50%  90%  max
+                    Male    8.0   3.0  2.0  0.0  3.0  5.3  6.0
+                  Female    8.0   5.0  2.0  2.0  5.0  7.3  8.0
         """
         # retrieve kw-only arguments
         percentiles = kwargs.pop('percentiles', None)
@@ -4919,25 +4919,25 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         >>> sex = Axis('sex=M,F')
         >>> arr = ndrange([nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FO | 2 | 3
+        nat\\sex  M  F
+             BE  0  1
+             FO  2  3
         >>> arr.rename(x.nat, 'nat2')
-        nat2\\sex | M | F
-              BE | 0 | 1
-              FO | 2 | 3
+        nat2\\sex  M  F
+              BE  0  1
+              FO  2  3
         >>> arr.rename(nat='nat2', sex='sex2')
-        nat2\\sex2 | M | F
-               BE | 0 | 1
-               FO | 2 | 3
+        nat2\\sex2  M  F
+               BE  0  1
+               FO  2  3
         >>> arr.rename([('nat', 'nat2'), ('sex', 'sex2')])
-        nat2\\sex2 | M | F
-               BE | 0 | 1
-               FO | 2 | 3
+        nat2\\sex2  M  F
+               BE  0  1
+               FO  2  3
         >>> arr.rename({'nat': 'nat2', 'sex': 'sex2'})
-        nat2\\sex2 | M | F
-               BE | 0 | 1
-               FO | 2 | 3
+        nat2\\sex2  M  F
+               BE  0  1
+               FO  2  3
         """
         if isinstance(renames, dict):
             items = list(renames.items())
@@ -4993,55 +4993,55 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         --------
         >>> arr = ndtest((2, 2))
         >>> arr
-        a\\b | b0 | b1
-         a0 |  0 |  1
-         a1 |  2 |  3
+        a\\b  b0  b1
+         a0   0   1
+         a1   2   3
 
         Reindex one axis
 
         >>> arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
-        a\\b | b1 | b2 | b0
-         a0 |  1 | -1 |  0
-         a1 |  3 | -1 |  2
+        a\\b  b1  b2  b0
+         a0   1  -1   0
+         a1   3  -1   2
         >>> arr.reindex(x.b, 'b0..b2', fill_value=-1)
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 | -1
-         a1 |  2 |  3 | -1
+        a\\b  b0  b1  b2
+         a0   0   1  -1
+         a1   2   3  -1
 
         Reindex several axes
 
         >>> a = Axis(['a1', 'a2', 'a0'], 'a')
         >>> b = Axis(['b2', 'b1', 'b0'], 'b')
         >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
-        a\\b | b2 | b1 | b0
-         a1 | -1 |  3 |  2
-         a2 | -1 | -1 | -1
-         a0 | -1 |  1 |  0
+        a\\b  b2  b1  b0
+         a1  -1   3   2
+         a2  -1  -1  -1
+         a0  -1   1   0
         >>> arr.reindex({x.a: a, x.b: b})
-        a\\b |  b2 |  b1 |  b0
-         a1 | nan | 3.0 | 2.0
-         a2 | nan | nan | nan
-         a0 | nan | 1.0 | 0.0
+        a\\b   b2   b1   b0
+         a1  nan  3.0  2.0
+         a2  nan  nan  nan
+         a0  nan  1.0  0.0
 
         Reindex using axes from another array
 
         >>> arr2 = ndrange('a=a0..a1;c=c0..c0;b=b0..b2')
         >>> arr2
-         a | c\\b | b0 | b1 | b2
-        a0 |  c0 |  0 |  1 |  2
-        a1 |  c0 |  3 |  4 |  5
+         a  c\\b  b0  b1  b2
+        a0   c0   0   1   2
+        a1   c0   3   4   5
         >>> arr.reindex(arr2.axes)
-         a | b\\c |  c0
-        a0 |  b0 | 0.0
-        a0 |  b1 | 1.0
-        a0 |  b2 | nan
-        a1 |  b0 | 2.0
-        a1 |  b1 | 3.0
-        a1 |  b2 | nan
+         a  b\\c   c0
+        a0   b0  0.0
+        a0   b1  1.0
+        a0   b2  nan
+        a1   b0  2.0
+        a1   b1  3.0
+        a1   b2  nan
         >>> arr2.reindex(arr.axes)
-         a | c\\b |  b0 |  b1
-        a0 |  c0 | 0.0 | 1.0
-        a1 |  c0 | 3.0 | 4.0
+         a  c\\b   b0   b1
+        a0   c0  0.0  1.0
+        a1   c0  3.0  4.0
         """
         # XXX: can't we move this to AxisCollection.replace?
         if isinstance(new_axis, (int, basestring, list, tuple)):
@@ -5090,31 +5090,31 @@ def sort_values(self, key, reverse=False):
         >>> xtype = Axis('type=type1,type2')
         >>> a = LArray([[10, 2, 4], [3, 7, 1]], [sex, nat])
         >>> a
-        sex\\nat | EU | FO | BE
-              M | 10 |  2 |  4
-              F |  3 |  7 |  1
+        sex\\nat  EU  FO  BE
+              M  10   2   4
+              F   3   7   1
         >>> a.sort_values('F')
-        sex\\nat | BE | EU | FO
-              M |  4 | 10 |  2
-              F |  1 |  3 |  7
+        sex\\nat  BE  EU  FO
+              M   4  10   2
+              F   1   3   7
         >>> a.sort_values('F', reverse=True)
-        sex\\nat | FO | EU | BE
-              M |  2 | 10 |  4
-              F |  7 |  3 |  1
+        sex\\nat  FO  EU  BE
+              M   2  10   4
+              F   7   3   1
         >>> b = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
         ...            [sex, xtype, nat])
         >>> b
-        sex | type\\nat | EU | FO | BE
-          M |    type1 | 10 |  2 |  4
-          M |    type2 |  3 |  7 |  1
-          F |    type1 |  5 |  1 |  6
-          F |    type2 |  2 |  8 |  9
+        sex  type\\nat  EU  FO  BE
+          M     type1  10   2   4
+          M     type2   3   7   1
+          F     type1   5   1   6
+          F     type2   2   8   9
         >>> b.sort_values(('M', 'type2'))
-        sex | type\\nat | BE | EU | FO
-          M |    type1 |  4 | 10 |  2
-          M |    type2 |  1 |  3 |  7
-          F |    type1 |  6 |  5 |  1
-          F |    type2 |  9 |  2 |  8
+        sex  type\\nat  BE  EU  FO
+          M     type1   4  10   2
+          M     type2   1   3   7
+          F     type1   6   5   1
+          F     type2   9   2   8
         """
         subset = self[key]
         if subset.ndim > 1:
@@ -5126,8 +5126,8 @@ def sort_values(self, key, reverse=False):
 
         # FIXME: .data shouldn't be necessary, but currently, if we do not do
         #  it, we get
-        # PGroup(nat | EU | FO | BE
-        #            |  1 |  2 |  0, axis='nat')
+        # PGroup(nat  EU  FO  BE
+        #              1   2   0, axis='nat')
         # which sorts the *data* correctly, but the labels on the nat axis are
         # not sorted (because the __getitem__ in that case reuse the key
         # axis as-is -- like it should).
@@ -5162,30 +5162,30 @@ def sort_axis(self, axes=None, reverse=False):
         >>> sex = Axis('sex=M,F')
         >>> a = ndrange([nat, sex])
         >>> a
-        nat\\sex | M | F
-             EU | 0 | 1
-             FO | 2 | 3
-             BE | 4 | 5
+        nat\\sex  M  F
+             EU  0  1
+             FO  2  3
+             BE  4  5
         >>> a.sort_axis(x.sex)
-        nat\\sex | F | M
-             EU | 1 | 0
-             FO | 3 | 2
-             BE | 5 | 4
+        nat\\sex  F  M
+             EU  1  0
+             FO  3  2
+             BE  5  4
         >>> a.sort_axis()
-        nat\\sex | F | M
-             BE | 5 | 4
-             EU | 1 | 0
-             FO | 3 | 2
+        nat\\sex  F  M
+             BE  5  4
+             EU  1  0
+             FO  3  2
         >>> a.sort_axis((x.sex, x.nat))
-        nat\\sex | F | M
-             BE | 5 | 4
-             EU | 1 | 0
-             FO | 3 | 2
+        nat\\sex  F  M
+             BE  5  4
+             EU  1  0
+             FO  3  2
         >>> a.sort_axis(reverse=True)
-        nat\\sex | M | F
-             FO | 2 | 3
-             EU | 0 | 1
-             BE | 4 | 5
+        nat\\sex  M  F
+             FO  2  3
+             EU  0  1
+             BE  4  5
         """
         if axes is None:
             axes = self.axes
@@ -5720,22 +5720,22 @@ def set(self, value, **kwargs):
         --------
         >>> arr = ndtest((3, 3))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
-         a2 |  6 |  7 |  8
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+         a2   6   7   8
         >>> arr['a1:', 'b1:'].set(10)
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 | 10 | 10
-         a2 |  6 | 10 | 10
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3  10  10
+         a2   6  10  10
         >>> arr['a1:', 'b1:'].set(ndtest((2, 2)))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  0 |  1
-         a2 |  6 |  2 |  3
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   0   1
+         a2   6   2   3
         """
         self.__setitem__(kwargs, value)
 
@@ -5760,17 +5760,17 @@ def reshape(self, target_axes):
         --------
         >>> arr = ndtest((2, 2, 2))
         >>> arr
-         a | b\\c | c0 | c1
-        a0 |  b0 |  0 |  1
-        a0 |  b1 |  2 |  3
-        a1 |  b0 |  4 |  5
-        a1 |  b1 |  6 |  7
+         a  b\\c  c0  c1
+        a0   b0   0   1
+        a0   b1   2   3
+        a1   b0   4   5
+        a1   b1   6   7
         >>> new_arr = arr.reshape([Axis('a=a0,a1'),
         ... Axis(['b0c0', 'b0c1', 'b1c0', 'b1c1'], 'bc')])
         >>> new_arr
-        a\\bc | b0c0 | b0c1 | b1c0 | b1c1
-          a0 |    0 |    1 |    2 |    3
-          a1 |    4 |    5 |    6 |    7
+        a\\bc  b0c0  b0c1  b1c0  b1c1
+          a0     0     1     2     3
+          a1     4     5     6     7
         """
         # this is a dangerous operation, because except for adding
         # length 1 axes (which is safe), it potentially modifies data
@@ -5799,16 +5799,16 @@ def reshape_like(self, target):
         --------
         >>> arr = zeros((2, 2, 2), dtype=int)
         >>> arr
-        {0}* | {1}*\\{2}* | 0 | 1
-           0 |         0 | 0 | 0
-           0 |         1 | 0 | 0
-           1 |         0 | 0 | 0
-           1 |         1 | 0 | 0
+        {0}*  {1}*\\{2}*  0  1
+           0          0  0  0
+           0          1  0  0
+           1          0  0  0
+           1          1  0  0
         >>> new_arr = arr.reshape_like(ndtest((2, 4)))
         >>> new_arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  0 |  0 |  0
-         a1 |  0 |  0 |  0 |  0
+        a\\b  b0  b1  b2  b3
+         a0   0   0   0   0
+         a1   0   0   0   0
         """
         return self.reshape(target.axes)
 
@@ -5887,22 +5887,22 @@ def drop_labels(self, axes=None):
         >>> b2 = Axis('b=b2,b3')
         >>> arr1 = ndrange([a, b])
         >>> arr1
-        a\\b | b1 | b2
-         a1 |  0 |  1
-         a2 |  2 |  3
+        a\\b  b1  b2
+         a1   0   1
+         a2   2   3
         >>> arr1.drop_labels(b)
-        a\\b* | 0 | 1
-          a1 | 0 | 1
-          a2 | 2 | 3
+        a\\b*  0  1
+          a1  0  1
+          a2  2  3
         >>> arr1.drop_labels([a, b])
-        a*\\b* | 0 | 1
-            0 | 0 | 1
-            1 | 2 | 3
+        a*\\b*  0  1
+            0  0  1
+            1  2  3
         >>> arr2 = ndrange([a, b2])
         >>> arr2
-        a\\b | b2 | b3
-         a1 |  0 |  1
-         a2 |  2 |  3
+        a\\b  b2  b3
+         a1   0   1
+         a2   2   3
         >>> arr1 * arr2
         Traceback (most recent call last):
         ...
@@ -5911,17 +5911,17 @@ def drop_labels(self, axes=None):
         vs
         Axis(['b1', 'b2'], 'b')
         >>> arr1 * arr2.drop_labels()
-        a\\b | b1 | b2
-         a1 |  0 |  1
-         a2 |  4 |  9
+        a\\b  b1  b2
+         a1   0   1
+         a2   4   9
         >>> arr1.drop_labels() * arr2
-        a\\b | b2 | b3
-         a1 |  0 |  1
-         a2 |  4 |  9
+        a\\b  b2  b3
+         a1   0   1
+         a2   4   9
         >>> arr1.drop_labels(x.a) * arr2.drop_labels(x.b)
-        a\\b | b1 | b2
-         a1 |  0 |  1
-         a2 |  4 |  9
+        a\\b  b1  b2
+         a1   0   1
+         a2   4   9
         """
         if axes is None:
             axes = self.axes
@@ -5969,9 +5969,9 @@ def as_table(self, maxlines=None, edgeitems=5):
         if not self.ndim:
             return
 
-        # ert    | unit | geo\time | 2012   | 2011   | 2010
-        # NEER27 | I05  | AT       | 101.41 | 101.63 | 101.63
-        # NEER27 | I05  | AU       | 134.86 | 125.29 | 117.08
+        # ert     unit  geo\time  2012    2011    2010
+        # NEER27  I05   AT        101.41  101.63  101.63
+        # NEER27  I05   AU        134.86  125.29  117.08
         width = self.shape[-1]
         height = int(np.prod(self.shape[:-1]))
         data = np.asarray(self).reshape(height, width)
@@ -6338,22 +6338,22 @@ def with_total(self, *args, **kwargs):
         --------
         >>> arr = ndtest((3, 3))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
-         a2 |  6 |  7 |  8
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+         a2   6   7   8
         >>> arr.with_total()
-          a\\b | b0 | b1 | b2 | total
-           a0 |  0 |  1 |  2 |     3
-           a1 |  3 |  4 |  5 |    12
-           a2 |  6 |  7 |  8 |    21
-        total |  9 | 12 | 15 |    36
+          a\\b  b0  b1  b2  total
+           a0   0   1   2      3
+           a1   3   4   5     12
+           a2   6   7   8     21
+        total   9  12  15     36
         >>> arr.with_total(op=prod, label='product')
-            a\\b | b0 | b1 | b2 | product
-             a0 |  0 |  1 |  2 |       0
-             a1 |  3 |  4 |  5 |      60
-             a2 |  6 |  7 |  8 |     336
-        product |  0 | 28 | 80 |       0
+            a\\b  b0  b1  b2  product
+             a0   0   1   2        0
+             a1   3   4   5       60
+             a2   6   7   8      336
+        product   0  28  80        0
         """
         # TODO: default to op.__name__
         label = kwargs.pop('label', 'total')
@@ -6426,13 +6426,13 @@ def argmin(self, axis=None):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FR | 3 | 2
-             IT | 2 | 5
+        nat\\sex  M  F
+             BE  0  1
+             FR  3  2
+             IT  2  5
         >>> arr.argmin(x.sex)
-        nat | BE | FR | IT
-            |  M |  F |  M
+        nat  BE  FR  IT
+              M   F   M
         >>> arr.argmin()
         ('BE', 'M')
         """
@@ -6467,13 +6467,13 @@ def posargmin(self, axis=None):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FR | 3 | 2
-             IT | 2 | 5
+        nat\\sex  M  F
+             BE  0  1
+             FR  3  2
+             IT  2  5
         >>> arr.posargmin(x.sex)
-        nat | BE | FR | IT
-            |  0 |  1 |  0
+        nat  BE  FR  IT
+              0   1   0
         >>> arr.posargmin()
         (0, 0)
         """
@@ -6506,13 +6506,13 @@ def argmax(self, axis=None):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FR | 3 | 2
-             IT | 2 | 5
+        nat\\sex  M  F
+             BE  0  1
+             FR  3  2
+             IT  2  5
         >>> arr.argmax(x.sex)
-        nat | BE | FR | IT
-            |  F |  M |  F
+        nat  BE  FR  IT
+              F   M   F
         >>> arr.argmax()
         ('IT', 'F')
         """
@@ -6547,13 +6547,13 @@ def posargmax(self, axis=None):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FR | 3 | 2
-             IT | 2 | 5
+        nat\\sex  M  F
+             BE  0  1
+             FR  3  2
+             IT  2  5
         >>> arr.posargmax(x.sex)
-        nat | BE | FR | IT
-            |  1 |  0 |  1
+        nat  BE  FR  IT
+              1   0   1
         >>> arr.posargmax()
         (2, 1)
         """
@@ -6588,15 +6588,15 @@ def argsort(self, axis=None, kind='quicksort'):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 0 | 1
-             FR | 3 | 2
-             IT | 2 | 5
+        nat\\sex  M  F
+             BE  0  1
+             FR  3  2
+             IT  2  5
         >>> arr.argsort(x.sex)
-        nat\\sex | 0 | 1
-             BE | M | F
-             FR | F | M
-             IT | M | F
+        nat\\sex  0  1
+             BE  M  F
+             FR  F  M
+             IT  M  F
         """
         if axis is None:
             if self.ndim > 1:
@@ -6632,15 +6632,15 @@ def posargsort(self, axis=None, kind='quicksort'):
         >>> sex = Axis('sex=M,F')
         >>> arr = LArray([[1, 5], [3, 2], [0, 4]], [nat, sex])
         >>> arr
-        nat\\sex | M | F
-             BE | 1 | 5
-             FR | 3 | 2
-             IT | 0 | 4
+        nat\\sex  M  F
+             BE  1  5
+             FR  3  2
+             IT  0  4
         >>> arr.posargsort(x.nat)
-        nat\\sex | M | F
-              0 | 2 | 1
-              1 | 0 | 2
-              2 | 1 | 0
+        nat\\sex  M  F
+              0  2  1
+              1  0  2
+              2  1  0
         """
         if axis is None:
             if self.ndim > 1:
@@ -6705,23 +6705,23 @@ def ratio(self, *axes):
         >>> sex = Axis('sex=M,F')
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
         >>> a
-        nat\\sex | M | F
-             BE | 4 | 6
-             FO | 2 | 8
+        nat\\sex  M  F
+             BE  4  6
+             FO  2  8
         >>> a.sum()
         20
         >>> a.ratio()
-        nat\\sex |   M |   F
-             BE | 0.2 | 0.3
-             FO | 0.1 | 0.4
+        nat\\sex    M    F
+             BE  0.2  0.3
+             FO  0.1  0.4
         >>> a.ratio(x.sex)
-        nat\\sex |   M |   F
-             BE | 0.4 | 0.6
-             FO | 0.2 | 0.8
+        nat\\sex    M    F
+             BE  0.4  0.6
+             FO  0.2  0.8
         >>> a.ratio('M')
-        nat\\sex |   M |   F
-             BE | 1.0 | 1.5
-             FO | 1.0 | 4.0
+        nat\\sex    M    F
+             BE  1.0  1.5
+             FO  1.0  4.0
         """
         # # this does not work, but I am unsure it should
         # # >>> a.sum(age[[0, 1]], age[2]) / a.sum(age)
@@ -6734,18 +6734,18 @@ def ratio(self, *axes):
         # could mean
         # >>> a.sum('F') / a.sum(a.get_axis('F'))
         # >>> a.sum('F') / a.sum(x.sex)
-        # age |   0 |   1 |              2
-        #     | 1.0 | 0.6 | 0.555555555556
+        # age    0    1               2
+        #      1.0  0.6  0.555555555556
         # OR (current meaning)
         # >>> a / a.sum('F')
-        # age\\sex |              M |   F
-        #       0 |            0.0 | 1.0
-        #       1 | 0.666666666667 | 1.0
-        #       2 |            0.8 | 1.0
+        # age\\sex               M    F
+        #       0             0.0  1.0
+        #       1  0.666666666667  1.0
+        #       2             0.8  1.0
         # One solution is to add an argument
         # >>> a.ratio(what='F', by=x.sex)
-        # age |   0 |   1 |              2
-        #     | 1.0 | 0.6 | 0.555555555556
+        # age    0    1               2
+        #      1.0  0.6  0.555555555556
         # >>> a.sum('F') / a.sum(x.sex)
 
         # >>> a.sum((age[[0, 1]], age[[1, 2]])) / a.sum(age)
@@ -6759,23 +6759,23 @@ def ratio(self, *axes):
 
         # >>> b = a.sum((age[[0, 1]], age[[1, 2]]))
         # >>> b
-        # age\sex | M | F
-        #   [0 1] | 2 | 4
-        #   [1 2] | 6 | 8
+        # age\sex  M  F
+        #   [0 1]  2  4
+        #   [1 2]  6  8
         # >>> b / b.sum(x.age)
-        # age\\sex |    M |              F
-        #   [0 1] | 0.25 | 0.333333333333
-        #   [1 2] | 0.75 | 0.666666666667
+        # age\\sex     M               F
+        #   [0 1]  0.25  0.333333333333
+        #   [1 2]  0.75  0.666666666667
         # >>> b / a.sum(x.age)
-        # age\\sex |              M |              F
-        #   [0 1] | 0.333333333333 | 0.444444444444
-        #   [1 2] |            1.0 | 0.888888888889
+        # age\\sex               M               F
+        #   [0 1]  0.333333333333  0.444444444444
+        #   [1 2]             1.0  0.888888888889
         # # >>> a.ratio([0, 1], [2])
         # # >>> a.ratio(x.age[[0, 1]], x.age[2])
         # >>> a.ratio((x.age[[0, 1]], x.age[2]))
-        # nat\\sex |            M |   F
-        #      BE |          0.0 | 1.0
-        #      FO | 0.6666666666 | 1.0
+        # nat\\sex             M    F
+        #      BE           0.0  1.0
+        #      FO  0.6666666666  1.0
         return self / self.sum(*axes)
 
     def rationot0(self, *axes):
@@ -6798,26 +6798,26 @@ def rationot0(self, *axes):
         >>> arr = LArray([[6, 0, 2],
         ...               [4, 0, 8]], [a, b])
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  6 |  0 |  2
-         a1 |  4 |  0 |  8
+        a\\b  b0  b1  b2
+         a0   6   0   2
+         a1   4   0   8
         >>> arr.sum()
         20
         >>> arr.rationot0()
-        a\\b |  b0 |  b1 |  b2
-         a0 | 0.3 | 0.0 | 0.1
-         a1 | 0.2 | 0.0 | 0.4
+        a\\b   b0   b1   b2
+         a0  0.3  0.0  0.1
+         a1  0.2  0.0  0.4
         >>> arr.rationot0(x.a)
-        a\\b |  b0 |  b1 |  b2
-         a0 | 0.6 | 0.0 | 0.2
-         a1 | 0.4 | 0.0 | 0.8
+        a\\b   b0   b1   b2
+         a0  0.6  0.0  0.2
+         a1  0.4  0.0  0.8
 
         for reference, the normal ratio method would return:
 
         >>> arr.ratio(x.a)
-        a\\b |  b0 |  b1 |  b2
-         a0 | 0.6 | nan | 0.2
-         a1 | 0.4 | nan | 0.8
+        a\\b   b0   b1   b2
+         a0  0.6  nan  0.2
+         a1  0.4  nan  0.8
         """
         return self.divnot0(self.sum(*axes))
 
@@ -6840,17 +6840,17 @@ def percent(self, *axes):
         >>> sex = Axis('sex=M,F')
         >>> a = LArray([[4, 6], [2, 8]], [nat, sex])
         >>> a
-        nat\\sex | M | F
-             BE | 4 | 6
-             FO | 2 | 8
+        nat\\sex  M  F
+             BE  4  6
+             FO  2  8
         >>> a.percent()
-        nat\\sex |    M |    F
-             BE | 20.0 | 30.0
-             FO | 10.0 | 40.0
+        nat\\sex     M     F
+             BE  20.0  30.0
+             FO  10.0  40.0
         >>> a.percent(x.sex)
-        nat\\sex |    M |    F
-             BE | 40.0 | 60.0
-             FO | 20.0 | 80.0
+        nat\\sex     M     F
+             BE  40.0  60.0
+             FO  20.0  80.0
         """
         # dividing by self.sum(*axes) * 0.01 would be faster in many cases but
         # I suspect it loose more precision.
@@ -6898,52 +6898,52 @@ def all(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> barr = arr < 6
         >>> barr
-        a\\b |    b0 |    b1 |    b2 |    b3
-         a0 |  True |  True |  True |  True
-         a1 |  True |  True | False | False
-         a2 | False | False | False | False
-         a3 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+         a0   True   True   True   True
+         a1   True   True  False  False
+         a2  False  False  False  False
+         a3  False  False  False  False
         >>> barr.all()
         False
         >>> # along axis 'a'
         >>> barr.all(x.a)
-        b |    b0 |    b1 |    b2 |    b3
-          | False | False | False | False
+        b     b0     b1     b2     b3
+           False  False  False  False
         >>> # along axis 'b'
         >>> barr.all(x.b)
-        a |   a0 |    a1 |    a2 |    a3
-          | True | False | False | False
+        a    a0     a1     a2     a3
+           True  False  False  False
 
         Select some rows only
 
         >>> barr.all(['a0', 'a1'])
-        b |   b0 |   b1 |    b2 |    b3
-          | True | True | False | False
+        b    b0    b1     b2     b3
+           True  True  False  False
         >>> # or equivalently
         >>> # barr.all('a0,a1')
 
         Split an axis in several parts
 
         >>> barr.all((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |    b0 |    b1 |    b2 |    b3
-        a0,a1 |  True |  True | False | False
-        a2,a3 | False | False | False | False
+          a\\b     b0     b1     b2     b3
+        a0,a1   True   True  False  False
+        a2,a3  False  False  False  False
         >>> # or equivalently
         >>> # barr.all('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> barr.all((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |    b0 |    b1 |    b2 |    b3
-        a01 |  True |  True | False | False
-        a23 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+        a01   True   True  False  False
+        a23  False  False  False  False
         >>> # or equivalently
         >>> # barr.all('a0,a1>>a01;a2,a3>>a23')
         """
@@ -6968,28 +6968,28 @@ def all_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> barr = arr < 6
         >>> barr
-        a\\b |    b0 |    b1 |    b2 |    b3
-         a0 |  True |  True |  True |  True
-         a1 |  True |  True | False | False
-         a2 | False | False | False | False
-         a3 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+         a0   True   True   True   True
+         a1   True   True  False  False
+         a2  False  False  False  False
+         a3  False  False  False  False
         >>> barr.all_by()
         False
         >>> # by axis 'a'
         >>> barr.all_by(x.a)
-        a |   a0 |    a1 |    a2 |    a3
-          | True | False | False | False
+        a    a0     a1     a2     a3
+           True  False  False  False
         >>> # by axis 'b'
         >>> barr.all_by(x.b)
-        b |    b0 |    b1 |    b2 |    b3
-          | False | False | False | False
+        b     b0     b1     b2     b3
+           False  False  False  False
 
         Select some rows only
 
@@ -7001,16 +7001,16 @@ def all_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> barr.all_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          | False | False
+        a  a0,a1  a2,a3
+           False  False
         >>> # or equivalently
         >>> # barr.all_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> barr.all_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a |   a01 |   a23
-          | False | False
+        a    a01    a23
+           False  False
         >>> # or equivalently
         >>> # barr.all_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7035,52 +7035,52 @@ def any(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> barr = arr < 6
         >>> barr
-        a\\b |    b0 |    b1 |    b2 |    b3
-         a0 |  True |  True |  True |  True
-         a1 |  True |  True | False | False
-         a2 | False | False | False | False
-         a3 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+         a0   True   True   True   True
+         a1   True   True  False  False
+         a2  False  False  False  False
+         a3  False  False  False  False
         >>> barr.any()
         True
         >>> # along axis 'a'
         >>> barr.any(x.a)
-        b |   b0 |   b1 |   b2 |   b3
-          | True | True | True | True
+        b    b0    b1    b2    b3
+           True  True  True  True
         >>> # along axis 'b'
         >>> barr.any(x.b)
-        a |   a0 |   a1 |    a2 |    a3
-          | True | True | False | False
+        a    a0    a1     a2     a3
+           True  True  False  False
 
         Select some rows only
 
         >>> barr.any(['a0', 'a1'])
-        b |   b0 |   b1 |   b2 |   b3
-          | True | True | True | True
+        b    b0    b1    b2    b3
+           True  True  True  True
         >>> # or equivalently
         >>> # barr.any('a0,a1')
 
         Split an axis in several parts
 
         >>> barr.any((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |    b0 |    b1 |    b2 |    b3
-        a0,a1 |  True |  True |  True |  True
-        a2,a3 | False | False | False | False
+          a\\b     b0     b1     b2     b3
+        a0,a1   True   True   True   True
+        a2,a3  False  False  False  False
         >>> # or equivalently
         >>> # barr.any('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> barr.any((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |    b0 |    b1 |    b2 |    b3
-        a01 |  True |  True |  True |  True
-        a23 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+        a01   True   True   True   True
+        a23  False  False  False  False
         >>> # or equivalently
         >>> # barr.any('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7105,28 +7105,28 @@ def any_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> barr = arr < 6
         >>> barr
-        a\\b |    b0 |    b1 |    b2 |    b3
-         a0 |  True |  True |  True |  True
-         a1 |  True |  True | False | False
-         a2 | False | False | False | False
-         a3 | False | False | False | False
+        a\\b     b0     b1     b2     b3
+         a0   True   True   True   True
+         a1   True   True  False  False
+         a2  False  False  False  False
+         a3  False  False  False  False
         >>> barr.any_by()
         True
         >>> # by axis 'a'
         >>> barr.any_by(x.a)
-        a |   a0 |   a1 |    a2 |    a3
-          | True | True | False | False
+        a    a0    a1     a2     a3
+           True  True  False  False
         >>> # by axis 'b'
         >>> barr.any_by(x.b)
-        b |   b0 |   b1 |   b2 |   b3
-          | True | True | True | True
+        b    b0    b1    b2    b3
+           True  True  True  True
 
         Select some rows only
 
@@ -7138,16 +7138,16 @@ def any_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> barr.any_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |  True | False
+        a  a0,a1  a2,a3
+            True  False
         >>> # or equivalently
         >>> # barr.any_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> barr.any_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a |  a01 |   a23
-          | True | False
+        a   a01    a23
+           True  False
         >>> # or equivalently
         >>> # barr.any_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7175,45 +7175,45 @@ def sum(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.sum()
         120
         >>> # along axis 'a'
         >>> arr.sum(x.a)
-        b | b0 | b1 | b2 | b3
-          | 24 | 28 | 32 | 36
+        b  b0  b1  b2  b3
+           24  28  32  36
         >>> # along axis 'b'
         >>> arr.sum(x.b)
-        a | a0 | a1 | a2 | a3
-          |  6 | 22 | 38 | 54
+        a  a0  a1  a2  a3
+            6  22  38  54
 
         Select some rows only
 
         >>> arr.sum(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  4 |  6 |  8 | 10
+        b  b0  b1  b2  b3
+            4   6   8  10
         >>> # or equivalently
         >>> # arr.sum('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.sum((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  4 |  6 |  8 | 10
-        a2,a3 | 20 | 22 | 24 | 26
+          a\\b  b0  b1  b2  b3
+        a0,a1   4   6   8  10
+        a2,a3  20  22  24  26
         >>> # or equivalently
         >>> # arr.sum('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.sum((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  4 |  6 |  8 | 10
-        a23 | 20 | 22 | 24 | 26
+        a\\b  b0  b1  b2  b3
+        a01   4   6   8  10
+        a23  20  22  24  26
         >>> # or equivalently
         >>> # arr.sum('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7239,21 +7239,21 @@ def sum_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.sum_by()
         120
         >>> # along axis 'a'
         >>> arr.sum_by(x.a)
-        a | a0 | a1 | a2 | a3
-          |  6 | 22 | 38 | 54
+        a  a0  a1  a2  a3
+            6  22  38  54
         >>> # along axis 'b'
         >>> arr.sum_by(x.b)
-        b | b0 | b1 | b2 | b3
-          | 24 | 28 | 32 | 36
+        b  b0  b1  b2  b3
+           24  28  32  36
 
         Select some rows only
 
@@ -7265,16 +7265,16 @@ def sum_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.sum_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |    28 |    92
+        a  a0,a1  a2,a3
+              28     92
         >>> # or equivalently
         >>> # arr.sum_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.sum_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 | a23
-          |  28 |  92
+        a  a01  a23
+            28   92
         >>> # or equivalently
         >>> # arr.sum_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7301,45 +7301,45 @@ def prod(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.prod()
         0
         >>> # along axis 'a'
         >>> arr.prod(x.a)
-        b | b0 |  b1 |   b2 |   b3
-          |  0 | 585 | 1680 | 3465
+        b  b0   b1    b2    b3
+            0  585  1680  3465
         >>> # along axis 'b'
         >>> arr.prod(x.b)
-        a | a0 |  a1 |   a2 |    a3
-          |  0 | 840 | 7920 | 32760
+        a  a0   a1    a2     a3
+            0  840  7920  32760
 
         Select some rows only
 
         >>> arr.prod(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  0 |  5 | 12 | 21
+        b  b0  b1  b2  b3
+            0   5  12  21
         >>> # or equivalently
         >>> # arr.prod('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.prod((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 |  b1 |  b2 |  b3
-        a0,a1 |  0 |   5 |  12 |  21
-        a2,a3 | 96 | 117 | 140 | 165
+          a\\b  b0   b1   b2   b3
+        a0,a1   0    5   12   21
+        a2,a3  96  117  140  165
         >>> # or equivalently
         >>> # arr.prod('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.prod((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 |  b1 |  b2 |  b3
-        a01 |  0 |   5 |  12 |  21
-        a23 | 96 | 117 | 140 | 165
+        a\\b  b0   b1   b2   b3
+        a01   0    5   12   21
+        a23  96  117  140  165
         >>> # or equivalently
         >>> # arr.prod('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7366,21 +7366,21 @@ def prod_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.prod_by()
         0
         >>> # along axis 'a'
         >>> arr.prod_by(x.a)
-        a | a0 |  a1 |   a2 |    a3
-          |  0 | 840 | 7920 | 32760
+        a  a0   a1    a2     a3
+            0  840  7920  32760
         >>> # along axis 'b'
         >>> arr.prod_by(x.b)
-        b | b0 |  b1 |   b2 |   b3
-          |  0 | 585 | 1680 | 3465
+        b  b0   b1    b2    b3
+            0  585  1680  3465
 
         Select some rows only
 
@@ -7392,16 +7392,16 @@ def prod_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.prod_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 |     a2,a3
-          |     0 | 259459200
+        a  a0,a1      a2,a3
+               0  259459200
         >>> # or equivalently
         >>> # arr.prod_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.prod_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 |       a23
-          |   0 | 259459200
+        a  a01        a23
+             0  259459200
         >>> # or equivalently
         >>> # arr.prod_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7426,45 +7426,45 @@ def min(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.min()
         0
         >>> # along axis 'a'
         >>> arr.min(x.a)
-        b | b0 | b1 | b2 | b3
-          |  0 |  1 |  2 |  3
+        b  b0  b1  b2  b3
+            0   1   2   3
         >>> # along axis 'b'
         >>> arr.min(x.b)
-        a | a0 | a1 | a2 | a3
-          |  0 |  4 |  8 | 12
+        a  a0  a1  a2  a3
+            0   4   8  12
 
         Select some rows only
 
         >>> arr.min(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  0 |  1 |  2 |  3
+        b  b0  b1  b2  b3
+            0   1   2   3
         >>> # or equivalently
         >>> # arr.min('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.min((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  0 |  1 |  2 |  3
-        a2,a3 |  8 |  9 | 10 | 11
+          a\\b  b0  b1  b2  b3
+        a0,a1   0   1   2   3
+        a2,a3   8   9  10  11
         >>> # or equivalently
         >>> # arr.min('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.min((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  0 |  1 |  2 |  3
-        a23 |  8 |  9 | 10 | 11
+        a\\b  b0  b1  b2  b3
+        a01   0   1   2   3
+        a23   8   9  10  11
         >>> # or equivalently
         >>> # arr.min('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7489,21 +7489,21 @@ def min_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.min_by()
         0
         >>> # along axis 'a'
         >>> arr.min_by(x.a)
-        a | a0 | a1 | a2 | a3
-          |  0 |  4 |  8 | 12
+        a  a0  a1  a2  a3
+            0   4   8  12
         >>> # along axis 'b'
         >>> arr.min_by(x.b)
-        b | b0 | b1 | b2 | b3
-          |  0 |  1 |  2 |  3
+        b  b0  b1  b2  b3
+            0   1   2   3
 
         Select some rows only
 
@@ -7515,16 +7515,16 @@ def min_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.min_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |     0 |     8
+        a  a0,a1  a2,a3
+               0      8
         >>> # or equivalently
         >>> # arr.min_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.min_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 | a23
-          |   0 |   8
+        a  a01  a23
+             0    8
         >>> # or equivalently
         >>> # arr.min_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7549,45 +7549,45 @@ def max(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.max()
         15
         >>> # along axis 'a'
         >>> arr.max(x.a)
-        b | b0 | b1 | b2 | b3
-          | 12 | 13 | 14 | 15
+        b  b0  b1  b2  b3
+           12  13  14  15
         >>> # along axis 'b'
         >>> arr.max(x.b)
-        a | a0 | a1 | a2 | a3
-          |  3 |  7 | 11 | 15
+        a  a0  a1  a2  a3
+            3   7  11  15
 
         Select some rows only
 
         >>> arr.max(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  4 |  5 |  6 |  7
+        b  b0  b1  b2  b3
+            4   5   6   7
         >>> # or equivalently
         >>> # arr.max('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.max((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  4 |  5 |  6 |  7
-        a2,a3 | 12 | 13 | 14 | 15
+          a\\b  b0  b1  b2  b3
+        a0,a1   4   5   6   7
+        a2,a3  12  13  14  15
         >>> # or equivalently
         >>> # arr.max('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.max((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  4 |  5 |  6 |  7
-        a23 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+        a01   4   5   6   7
+        a23  12  13  14  15
         >>> # or equivalently
         >>> # arr.max('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7612,21 +7612,21 @@ def max_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.max_by()
         15
         >>> # along axis 'a'
         >>> arr.max_by(x.a)
-        a | a0 | a1 | a2 | a3
-          |  3 |  7 | 11 | 15
+        a  a0  a1  a2  a3
+            3   7  11  15
         >>> # along axis 'b'
         >>> arr.max_by(x.b)
-        b | b0 | b1 | b2 | b3
-          | 12 | 13 | 14 | 15
+        b  b0  b1  b2  b3
+           12  13  14  15
 
         Select some rows only
 
@@ -7638,16 +7638,16 @@ def max_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.max_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |     7 |    15
+        a  a0,a1  a2,a3
+               7     15
         >>> # or equivalently
         >>> # arr.max_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.max_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 | a23
-          |   7 |  15
+        a  a01  a23
+             7   15
         >>> # or equivalently
         >>> # arr.max_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7674,45 +7674,45 @@ def mean(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.mean()
         7.5
         >>> # along axis 'a'
         >>> arr.mean(x.a)
-        b |  b0 |  b1 |  b2 |  b3
-          | 6.0 | 7.0 | 8.0 | 9.0
+        b   b0   b1   b2   b3
+           6.0  7.0  8.0  9.0
         >>> # along axis 'b'
         >>> arr.mean(x.b)
-        a |  a0 |  a1 |  a2 |   a3
-          | 1.5 | 5.5 | 9.5 | 13.5
+        a   a0   a1   a2    a3
+           1.5  5.5  9.5  13.5
 
         Select some rows only
 
         >>> arr.mean(['a0', 'a1'])
-        b |  b0 |  b1 |  b2 |  b3
-          | 2.0 | 3.0 | 4.0 | 5.0
+        b   b0   b1   b2   b3
+           2.0  3.0  4.0  5.0
         >>> # or equivalently
         >>> # arr.mean('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.mean((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |   b0 |   b1 |   b2 |   b3
-        a0,a1 |  2.0 |  3.0 |  4.0 |  5.0
-        a2,a3 | 10.0 | 11.0 | 12.0 | 13.0
+          a\\b    b0    b1    b2    b3
+        a0,a1   2.0   3.0   4.0   5.0
+        a2,a3  10.0  11.0  12.0  13.0
         >>> # or equivalently
         >>> # arr.mean('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.mean((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |   b0 |   b1 |   b2 |   b3
-        a01 |  2.0 |  3.0 |  4.0 |  5.0
-        a23 | 10.0 | 11.0 | 12.0 | 13.0
+        a\\b    b0    b1    b2    b3
+        a01   2.0   3.0   4.0   5.0
+        a23  10.0  11.0  12.0  13.0
         >>> # or equivalently
         >>> # arr.mean('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7739,21 +7739,21 @@ def mean_by(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.mean()
         7.5
         >>> # along axis 'a'
         >>> arr.mean_by(x.a)
-        a |  a0 |  a1 |  a2 |   a3
-          | 1.5 | 5.5 | 9.5 | 13.5
+        a   a0   a1   a2    a3
+           1.5  5.5  9.5  13.5
         >>> # along axis 'b'
         >>> arr.mean_by(x.b)
-        b |  b0 |  b1 |  b2 |  b3
-          | 6.0 | 7.0 | 8.0 | 9.0
+        b   b0   b1   b2   b3
+           6.0  7.0  8.0  9.0
 
         Select some rows only
 
@@ -7765,16 +7765,16 @@ def mean_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.mean_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |   3.5 |  11.5
+        a  a0,a1  a2,a3
+             3.5   11.5
         >>> # or equivalently
         >>> # arr.mean_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.mean_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 |  a23
-          | 3.5 | 11.5
+        a  a01   a23
+           3.5  11.5
         >>> # or equivalently
         >>> # arr.mean_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7805,45 +7805,45 @@ def median(self, *args, **kwargs):
                         [6, 2, 0, 9], \
                         [9, 10, 5, 6]]
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 | 10 |  7 |  5 |  9
-         a1 |  5 |  8 |  3 |  7
-         a2 |  6 |  2 |  0 |  9
-         a3 |  9 | 10 |  5 |  6
+        a\\b  b0  b1  b2  b3
+         a0  10   7   5   9
+         a1   5   8   3   7
+         a2   6   2   0   9
+         a3   9  10   5   6
         >>> arr.median()
         6.5
         >>> # along axis 'a'
         >>> arr.median(x.a)
-        b |  b0 |  b1 |  b2 |  b3
-          | 7.5 | 7.5 | 4.0 | 8.0
+        b   b0   b1   b2   b3
+           7.5  7.5  4.0  8.0
         >>> # along axis 'b'
         >>> arr.median(x.b)
-        a |  a0 |  a1 |  a2 |  a3
-          | 8.0 | 6.0 | 4.0 | 7.5
+        a   a0   a1   a2   a3
+           8.0  6.0  4.0  7.5
 
         Select some rows only
 
         >>> arr.median(['a0', 'a1'])
-        b |  b0 |  b1 |  b2 |  b3
-          | 7.5 | 7.5 | 4.0 | 8.0
+        b   b0   b1   b2   b3
+           7.5  7.5  4.0  8.0
         >>> # or equivalently
         >>> # arr.median('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.median((['a0', 'a1'], ['a2', 'a3']))
-          a\\b |  b0 |  b1 |  b2 |  b3
-        a0,a1 | 7.5 | 7.5 | 4.0 | 8.0
-        a2,a3 | 7.5 | 6.0 | 2.5 | 7.5
+          a\\b   b0   b1   b2   b3
+        a0,a1  7.5  7.5  4.0  8.0
+        a2,a3  7.5  6.0  2.5  7.5
         >>> # or equivalently
         >>> # arr.median('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.median((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |  b0 |  b1 |  b2 |  b3
-        a01 | 7.5 | 7.5 | 4.0 | 8.0
-        a23 | 7.5 | 6.0 | 2.5 | 7.5
+        a\\b   b0   b1   b2   b3
+        a01  7.5  7.5  4.0  8.0
+        a23  7.5  6.0  2.5  7.5
         >>> # or equivalently
         >>> # arr.median('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7874,21 +7874,21 @@ def median_by(self, *args, **kwargs):
                         [6, 2, 0, 9], \
                         [9, 10, 5, 6]]
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 | 10 |  7 |  5 |  9
-         a1 |  5 |  8 |  3 |  7
-         a2 |  6 |  2 |  0 |  9
-         a3 |  9 | 10 |  5 |  6
+        a\\b  b0  b1  b2  b3
+         a0  10   7   5   9
+         a1   5   8   3   7
+         a2   6   2   0   9
+         a3   9  10   5   6
         >>> arr.median_by()
         6.5
         >>> # along axis 'a'
         >>> arr.median_by(x.a)
-        a |  a0 |  a1 |  a2 |  a3
-          | 8.0 | 6.0 | 4.0 | 7.5
+        a   a0   a1   a2   a3
+           8.0  6.0  4.0  7.5
         >>> # along axis 'b'
         >>> arr.median_by(x.b)
-        b |  b0 |  b1 |  b2 |  b3
-          | 7.5 | 7.5 | 4.0 | 8.0
+        b   b0   b1   b2   b3
+           7.5  7.5  4.0  8.0
 
         Select some rows only
 
@@ -7900,16 +7900,16 @@ def median_by(self, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.median_by((['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |   7.0 |  5.75
+        a  a0,a1  a2,a3
+             7.0   5.75
         >>> # or equivalently
         >>> # arr.median_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.median_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a | a01 |  a23
-          | 7.0 | 5.75
+        a  a01   a23
+           7.0  5.75
         >>> # or equivalently
         >>> # arr.median_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -7941,51 +7941,51 @@ def percentile(self, q, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.percentile(25)
         3.75
         >>> # along axis 'a'
         >>> arr.percentile(25, x.a)
-        b |  b0 |  b1 |  b2 |  b3
-          | 3.0 | 4.0 | 5.0 | 6.0
+        b   b0   b1   b2   b3
+           3.0  4.0  5.0  6.0
         >>> # along axis 'b'
         >>> arr.percentile(25, x.b)
-        a |   a0 |   a1 |   a2 |    a3
-          | 0.75 | 4.75 | 8.75 | 12.75
+        a    a0    a1    a2     a3
+           0.75  4.75  8.75  12.75
         >>> # several percentile values
         >>> arr.percentile([25, 50, 75], x.b)
-        percentile\\a |   a0 |   a1 |    a2 |    a3
-                  25 | 0.75 | 4.75 |  8.75 | 12.75
-                  50 |  1.5 |  5.5 |   9.5 |  13.5
-                  75 | 2.25 | 6.25 | 10.25 | 14.25
+        percentile\\a    a0    a1     a2     a3
+                  25  0.75  4.75   8.75  12.75
+                  50   1.5   5.5    9.5   13.5
+                  75  2.25  6.25  10.25  14.25
 
         Select some rows only
 
         >>> arr.percentile(25, ['a0', 'a1'])
-        b |  b0 |  b1 |  b2 |  b3
-          | 1.0 | 2.0 | 3.0 | 4.0
+        b   b0   b1   b2   b3
+           1.0  2.0  3.0  4.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1')
 
         Split an axis in several parts
 
         >>> arr.percentile(25, (['a0', 'a1'], ['a2', 'a3']))
-          a\\b |  b0 |   b1 |   b2 |   b3
-        a0,a1 | 1.0 |  2.0 |  3.0 |  4.0
-        a2,a3 | 9.0 | 10.0 | 11.0 | 12.0
+          a\\b   b0    b1    b2    b3
+        a0,a1  1.0   2.0   3.0   4.0
+        a2,a3  9.0  10.0  11.0  12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.percentile(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b |  b0 |   b1 |   b2 |   b3
-        a01 | 1.0 |  2.0 |  3.0 |  4.0
-        a23 | 9.0 | 10.0 | 11.0 | 12.0
+        a\\b   b0    b1    b2    b3
+        a01  1.0   2.0   3.0   4.0
+        a23  9.0  10.0  11.0  12.0
         >>> # or equivalently
         >>> # arr.percentile(25, 'a0,a1>>a01;a2,a3>>a23')
         """
@@ -8028,27 +8028,27 @@ def percentile_by(self, q, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.percentile_by(25)
         3.75
         >>> # along axis 'a'
         >>> arr.percentile_by(25, x.a)
-        a |   a0 |   a1 |   a2 |    a3
-          | 0.75 | 4.75 | 8.75 | 12.75
+        a    a0    a1    a2     a3
+           0.75  4.75  8.75  12.75
         >>> # along axis 'b'
         >>> arr.percentile_by(25, x.b)
-        b |  b0 |  b1 |  b2 |  b3
-          | 3.0 | 4.0 | 5.0 | 6.0
+        b   b0   b1   b2   b3
+           3.0  4.0  5.0  6.0
         >>> # several percentile values
         >>> arr.percentile_by([25, 50, 75], x.b)
-        percentile\\b |  b0 |   b1 |   b2 |   b3
-                  25 | 3.0 |  4.0 |  5.0 |  6.0
-                  50 | 6.0 |  7.0 |  8.0 |  9.0
-                  75 | 9.0 | 10.0 | 11.0 | 12.0
+        percentile\\b   b0    b1    b2    b3
+                  25  3.0   4.0   5.0   6.0
+                  50  6.0   7.0   8.0   9.0
+                  75  9.0  10.0  11.0  12.0
 
         Select some rows only
 
@@ -8060,16 +8060,16 @@ def percentile_by(self, q, *args, **kwargs):
         Split an axis in several parts
 
         >>> arr.percentile_by(25, (['a0', 'a1'], ['a2', 'a3']))
-        a | a0,a1 | a2,a3
-          |  1.75 |  9.75
+        a  a0,a1  a2,a3
+            1.75   9.75
         >>> # or equivalently
         >>> # arr.percentile_by('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.percentile_by(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a |  a01 |  a23
-          | 1.75 | 9.75
+        a   a01   a23
+           1.75  9.75
         >>> # or equivalently
         >>> # arr.percentile_by('a0,a1>>a01;a2,a3>>a23')
         """
@@ -8110,45 +8110,45 @@ def ptp(self, *args, **kwargs):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.ptp()
         15
         >>> # along axis 'a'
         >>> arr.ptp(x.a)
-        b | b0 | b1 | b2 | b3
-          | 12 | 12 | 12 | 12
+        b  b0  b1  b2  b3
+           12  12  12  12
         >>> # along axis 'b'
         >>> arr.ptp(x.b)
-        a | a0 | a1 | a2 | a3
-          |  3 |  3 |  3 |  3
+        a  a0  a1  a2  a3
+            3   3   3   3
 
         Select some rows only
 
         >>> arr.ptp(['a0', 'a1'])
-        b | b0 | b1 | b2 | b3
-          |  4 |  4 |  4 |  4
+        b  b0  b1  b2  b3
+            4   4   4   4
         >>> # or equivalently
         >>> # arr.ptp('a0,a1')
 
         Split an axis in several parts
 
         >>> arr.ptp((['a0', 'a1'], ['a2', 'a3']))
-          a\\b | b0 | b1 | b2 | b3
-        a0,a1 |  4 |  4 |  4 |  4
-        a2,a3 |  4 |  4 |  4 |  4
+          a\\b  b0  b1  b2  b3
+        a0,a1   4   4   4   4
+        a2,a3   4   4   4   4
         >>> # or equivalently
         >>> # arr.ptp('a0,a1;a2,a3')
 
         Same with renaming
 
         >>> arr.ptp((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
-        a\\b | b0 | b1 | b2 | b3
-        a01 |  4 |  4 |  4 |  4
-        a23 |  4 |  4 |  4 |  4
+        a\\b  b0  b1  b2  b3
+        a01   4   4   4   4
+        a23   4   4   4   4
         >>> # or equivalently
         >>> # arr.ptp('a0,a1>>a01;a2,a3>>a23')
         """
@@ -8182,39 +8182,39 @@ def var(self, *args, **kwargs):
         >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
                         [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
-         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
-         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
+        a\\b   b0   b1   b2   b3   b4   b5   b6   b7
+         a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
+         a1  7.0  3.0  2.0  5.0  8.0  5.0  6.0  4.0
         >>> arr.var()
         4.7999999999999998
         >>> # along axis 'b'
         >>> arr.var(x.b)
-        a |  a0 |  a1
-          | 4.0 | 4.0
+        a   a0   a1
+           4.0  4.0
 
         Select some columns only
 
         >>> arr.var(['b0', 'b1', 'b3'])
-        a |  a0 |  a1
-          | 9.0 | 4.0
+        a   a0   a1
+           9.0  4.0
         >>> # or equivalently
         >>> # arr.var('b0,b1,b3')
 
         Split an axis in several parts
 
         >>> arr.var((['b0', 'b1', 'b3'], 'b5:'))
-        a\\b | b0,b1,b3 | b5:
-         a0 |      9.0 | 1.0
-         a1 |      4.0 | 1.0
+        a\\b  b0,b1,b3  b5:
+         a0       9.0  1.0
+         a1       4.0  1.0
         >>> # or equivalently
         >>> # arr.var('b0,b1,b3;b5:')
 
         Same with renaming
 
         >>> arr.var((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
-        a\\b | b013 | b567
-         a0 |  9.0 |  1.0
-         a1 |  4.0 |  1.0
+        a\\b  b013  b567
+         a0   9.0   1.0
+         a1   4.0   1.0
         >>> # or equivalently
         >>> # arr.var('b0,b1,b3>>b013;b5:>>b567')
         """
@@ -8245,39 +8245,39 @@ def var_by(self, *args, **kwargs):
         >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
                         [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
-         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
-         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
+        a\\b   b0   b1   b2   b3   b4   b5   b6   b7
+         a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
+         a1  7.0  3.0  2.0  5.0  8.0  5.0  6.0  4.0
         >>> arr.var_by()
         4.7999999999999998
         >>> # along axis 'a'
         >>> arr.var_by(x.a)
-        a |  a0 |  a1
-          | 4.0 | 4.0
+        a   a0   a1
+           4.0  4.0
 
         Select some columns only
 
         >>> arr.var_by(x.a, ['b0','b1','b3'])
-        a |  a0 |  a1
-          | 9.0 | 4.0
+        a   a0   a1
+           9.0  4.0
         >>> # or equivalently
         >>> # arr.var_by('a','b0,b1,b3')
 
         Split an axis in several parts
 
         >>> arr.var_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
-        a\\b | b0,b1,b3 | b5:
-         a0 |      9.0 | 1.0
-         a1 |      4.0 | 1.0
+        a\\b  b0,b1,b3  b5:
+         a0       9.0  1.0
+         a1       4.0  1.0
         >>> # or equivalently
         >>> # arr.var_by('a','b0,b1,b3;b5:')
 
         Same with renaming
 
         >>> arr.var_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
-        a\\b | b013 | b567
-         a0 |  9.0 |  1.0
-         a1 |  4.0 |  1.0
+        a\\b  b013  b567
+         a0   9.0   1.0
+         a1   4.0   1.0
         >>> # or equivalently
         >>> # arr.var_by('a','b0,b1,b3>>b013;b5:>>b567')
         """
@@ -8308,39 +8308,39 @@ def std(self, *args, **kwargs):
         >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
                         [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
-         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
-         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
+        a\\b   b0   b1   b2   b3   b4   b5   b6   b7
+         a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
+         a1  7.0  3.0  2.0  5.0  8.0  5.0  6.0  4.0
         >>> arr.std()
         2.1908902300206643
         >>> # along axis 'b'
         >>> arr.std(x.b)
-        a |  a0 |  a1
-          | 2.0 | 2.0
+        a   a0   a1
+           2.0  2.0
 
         Select some columns only
 
         >>> arr.std(['b0', 'b1', 'b3'])
-        a |  a0 |  a1
-          | 3.0 | 2.0
+        a   a0   a1
+           3.0  2.0
         >>> # or equivalently
         >>> # arr.std('b0,b1,b3')
 
         Split an axis in several parts
 
         >>> arr.std((['b0', 'b1', 'b3'], 'b5:'))
-        a\\b | b0,b1,b3 | b5:
-         a0 |      3.0 | 1.0
-         a1 |      2.0 | 1.0
+        a\\b  b0,b1,b3  b5:
+         a0       3.0  1.0
+         a1       2.0  1.0
         >>> # or equivalently
         >>> # arr.std('b0,b1,b3;b5:')
 
         Same with renaming
 
         >>> arr.std((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
-        a\\b | b013 | b567
-         a0 |  3.0 |  1.0
-         a1 |  2.0 |  1.0
+        a\\b  b013  b567
+         a0   3.0   1.0
+         a1   2.0   1.0
         >>> # or equivalently
         >>> # arr.std('b0,b1,b3>>b013;b5:>>b567')
         """
@@ -8372,39 +8372,39 @@ def std_by(self, *args, **kwargs):
         >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
                         [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
-        a\\b |  b0 |  b1 |  b2 |  b3 |  b4 |  b5 |  b6 |  b7
-         a0 | 0.0 | 3.0 | 5.0 | 6.0 | 4.0 | 2.0 | 1.0 | 3.0
-         a1 | 7.0 | 3.0 | 2.0 | 5.0 | 8.0 | 5.0 | 6.0 | 4.0
+        a\\b   b0   b1   b2   b3   b4   b5   b6   b7
+         a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
+         a1  7.0  3.0  2.0  5.0  8.0  5.0  6.0  4.0
         >>> arr.std_by()
         2.1908902300206643
         >>> # along axis 'a'
         >>> arr.std_by(x.a)
-        a |  a0 |  a1
-          | 2.0 | 2.0
+        a   a0   a1
+           2.0  2.0
 
         Select some columns only
 
         >>> arr.std_by(x.a, ['b0','b1','b3'])
-        a |  a0 |  a1
-          | 3.0 | 2.0
+        a   a0   a1
+           3.0  2.0
         >>> # or equivalently
         >>> # arr.std_by('a','b0,b1,b3')
 
         Split an axis in several parts
 
         >>> arr.std_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
-        a\\b | b0,b1,b3 | b5:
-         a0 |      3.0 | 1.0
-         a1 |      2.0 | 1.0
+        a\\b  b0,b1,b3  b5:
+         a0       3.0  1.0
+         a1       2.0  1.0
         >>> # or equivalently
         >>> # arr.std_by('a','b0,b1,b3;b5:')
 
         Same with renaming
 
         >>> arr.std_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
-        a\\b | b013 | b567
-         a0 |  3.0 |  1.0
-         a1 |  2.0 |  1.0
+        a\\b  b013  b567
+         a0   3.0   1.0
+         a1   2.0   1.0
         >>> # or equivalently
         >>> # arr.std_by('a','b0,b1,b3>>b013;b5:>>b567')
         """
@@ -8441,23 +8441,23 @@ def cumsum(self, axis=-1):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.cumsum()
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  3 |  6
-         a1 |  4 |  9 | 15 | 22
-         a2 |  8 | 17 | 27 | 38
-         a3 | 12 | 25 | 39 | 54
+        a\\b  b0  b1  b2  b3
+         a0   0   1   3   6
+         a1   4   9  15  22
+         a2   8  17  27  38
+         a3  12  25  39  54
         >>> arr.cumsum(x.a)
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  6 |  8 | 10
-         a2 | 12 | 15 | 18 | 21
-         a3 | 24 | 28 | 32 | 36
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   6   8  10
+         a2  12  15  18  21
+         a3  24  28  32  36
         """
         return self._cum_aggregate(np.cumsum, axis)
 
@@ -8491,23 +8491,23 @@ def cumprod(self, axis=-1):
         --------
         >>> arr = ndtest((4, 4))
         >>> arr
-        a\\b | b0 | b1 | b2 | b3
-         a0 |  0 |  1 |  2 |  3
-         a1 |  4 |  5 |  6 |  7
-         a2 |  8 |  9 | 10 | 11
-         a3 | 12 | 13 | 14 | 15
+        a\\b  b0  b1  b2  b3
+         a0   0   1   2   3
+         a1   4   5   6   7
+         a2   8   9  10  11
+         a3  12  13  14  15
         >>> arr.cumprod()
-        a\\b | b0 |  b1 |   b2 |    b3
-         a0 |  0 |   0 |    0 |     0
-         a1 |  4 |  20 |  120 |   840
-         a2 |  8 |  72 |  720 |  7920
-         a3 | 12 | 156 | 2184 | 32760
+        a\\b  b0   b1    b2     b3
+         a0   0    0     0      0
+         a1   4   20   120    840
+         a2   8   72   720   7920
+         a3  12  156  2184  32760
         >>> arr.cumprod(x.a)
-        a\\b | b0 |  b1 |   b2 |   b3
-         a0 |  0 |   1 |    2 |    3
-         a1 |  0 |   5 |   12 |   21
-         a2 |  0 |  45 |  120 |  231
-         a3 |  0 | 585 | 1680 | 3465
+        a\\b  b0   b1    b2    b3
+         a0   0    1     2     3
+         a1   0    5    12    21
+         a2   0   45   120   231
+         a3   0  585  1680  3465
         """
         return self._cum_aggregate(np.cumprod, axis)
 
@@ -8589,44 +8589,44 @@ def __matmul__(self, other):
         --------
         >>> arr1d = ndtest(3)
         >>> arr1d
-        a | a0 | a1 | a2
-          |  0 |  1 |  2
+        a  a0  a1  a2
+            0   1   2
         >>> arr2d = ndtest((3, 3))
         >>> arr2d
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
-         a2 |  6 |  7 |  8
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+         a2   6   7   8
         >>> arr1d @ arr1d # doctest: +SKIP
         5
         >>> arr1d @ arr2d # doctest: +SKIP
-        b | b0 | b1 | b2
-          | 15 | 18 | 21
+        b  b0  b1  b2
+           15  18  21
         >>> arr2d @ arr1d # doctest: +SKIP
-        a | a0 | a1 | a2
-          |  5 | 14 | 23
+        a  a0  a1  a2
+            5  14  23
         >>> arr3d = ndrange('c=c0..c2;d=d0..d2;e=e0..e2')
         >>> arr1d @ arr3d # doctest: +SKIP
-        c\\e | e0 | e1 | e2
-         c0 | 15 | 18 | 21
-         c1 | 42 | 45 | 48
-         c2 | 69 | 72 | 75
+        c\\e  e0  e1  e2
+         c0  15  18  21
+         c1  42  45  48
+         c2  69  72  75
         >>> arr3d @ arr1d # doctest: +SKIP
-        c\\d | d0 | d1 | d2
-         c0 |  5 | 14 | 23
-         c1 | 32 | 41 | 50
-         c2 | 59 | 68 | 77
+        c\\d  d0  d1  d2
+         c0   5  14  23
+         c1  32  41  50
+         c2  59  68  77
         >>> arr3d @ arr3d # doctest: +SKIP
-         c | d\\e |   e0 |   e1 |   e2
-        c0 |  d0 |   15 |   18 |   21
-        c0 |  d1 |   42 |   54 |   66
-        c0 |  d2 |   69 |   90 |  111
-        c1 |  d0 |  366 |  396 |  426
-        c1 |  d1 |  474 |  513 |  552
-        c1 |  d2 |  582 |  630 |  678
-        c2 |  d0 | 1203 | 1260 | 1317
-        c2 |  d1 | 1392 | 1458 | 1524
-        c2 |  d2 | 1581 | 1656 | 1731
+         c  d\\e    e0    e1    e2
+        c0   d0    15    18    21
+        c0   d1    42    54    66
+        c0   d2    69    90   111
+        c1   d0   366   396   426
+        c1   d1   474   513   552
+        c1   d2   582   630   678
+        c2   d0  1203  1260  1317
+        c2   d1  1392  1458  1524
+        c2   d2  1581  1656  1731
         """
         current = self[:]
         axes = self.axes
@@ -8709,21 +8709,21 @@ def divnot0(self, other):
         >>> sex = Axis('sex=M,F')
         >>> a = ndrange((nat, sex))
         >>> a
-        nat\\sex | M | F
-             BE | 0 | 1
-             FO | 2 | 3
+        nat\\sex  M  F
+             BE  0  1
+             FO  2  3
         >>> b = ndrange(sex)
         >>> b
-        sex | M | F
-            | 0 | 1
+        sex  M  F
+             0  1
         >>> a / b
-        nat\\sex |   M |   F
-             BE | nan | 1.0
-             FO | inf | 3.0
+        nat\\sex    M    F
+             BE  nan  1.0
+             FO  inf  3.0
         >>> a.divnot0(b)
-        nat\\sex |   M |   F
-             BE | 0.0 | 1.0
-             FO | 0.0 | 3.0
+        nat\\sex    M    F
+             BE  0.0  1.0
+             FO  0.0  3.0
         """
         if np.isscalar(other):
             if other == 0:
@@ -8768,22 +8768,22 @@ def expand(self, target_axes=None, out=None, readonly=False):
         >>> b = Axis('b=b1,b2')
         >>> arr = ndrange([a, b])
         >>> arr
-        a\\b | b1 | b2
-         a1 |  0 |  1
-         a2 |  2 |  3
+        a\\b  b1  b2
+         a1   0   1
+         a2   2   3
         >>> c = Axis('c=c1,c2')
         >>> arr.expand([a, c, b])
-         a | c\\b | b1 | b2
-        a1 |  c1 |  0 |  1
-        a1 |  c2 |  0 |  1
-        a2 |  c1 |  2 |  3
-        a2 |  c2 |  2 |  3
+         a  c\\b  b1  b2
+        a1   c1   0   1
+        a1   c2   0   1
+        a2   c1   2   3
+        a2   c2   2   3
         >>> arr.expand([b, c])
-         a | b\\c | c1 | c2
-        a1 |  b1 |  0 |  0
-        a1 |  b2 |  1 |  1
-        a2 |  b1 |  2 |  2
-        a2 |  b2 |  3 |  3
+         a  b\\c  c1  c2
+        a1   b1   0   0
+        a1   b2   1   1
+        a2   b1   2   2
+        a2   b2   3   3
         """
         if (target_axes is None and out is None or
                 target_axes is not None and out is not None):
@@ -8838,30 +8838,30 @@ def append(self, axis, value, label=None):
         --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
-        nat\\sex |   M |   F
-             BE | 1.0 | 1.0
-             FO | 1.0 | 1.0
+        nat\\sex    M    F
+             BE  1.0  1.0
+             FO  1.0  1.0
         >>> a.append(x.sex, a.sum(x.sex), 'M+F')
-        nat\\sex |   M |   F | M+F
-             BE | 1.0 | 1.0 | 2.0
-             FO | 1.0 | 1.0 | 2.0
+        nat\\sex    M    F  M+F
+             BE  1.0  1.0  2.0
+             FO  1.0  1.0  2.0
         >>> a.append(x.nat, 2, 'Other')
-        nat\\sex |   M |   F
-             BE | 1.0 | 1.0
-             FO | 1.0 | 1.0
-          Other | 2.0 | 2.0
+        nat\\sex    M    F
+             BE  1.0  1.0
+             FO  1.0  1.0
+          Other  2.0  2.0
         >>> b = zeros('type=type1,type2')
         >>> b
-        type | type1 | type2
-             |   0.0 |   0.0
+        type  type1  type2
+                0.0    0.0
         >>> a.append(x.nat, b, 'Other')
-          nat | sex\\type | type1 | type2
-           BE |        M |   1.0 |   1.0
-           BE |        F |   1.0 |   1.0
-           FO |        M |   1.0 |   1.0
-           FO |        F |   1.0 |   1.0
-        Other |        M |   0.0 |   0.0
-        Other |        F |   0.0 |   0.0
+          nat  sex\\type  type1  type2
+           BE         M    1.0    1.0
+           BE         F    1.0    1.0
+           FO         M    1.0    1.0
+           FO         F    1.0    1.0
+        Other         M    0.0    0.0
+        Other         F    0.0    0.0
         """
         axis = self.axes[axis]
         if np.isscalar(value):
@@ -8896,30 +8896,30 @@ def prepend(self, axis, value, label=None):
         --------
         >>> a = ones('nat=BE,FO;sex=M,F')
         >>> a
-        nat\sex |   M |   F
-             BE | 1.0 | 1.0
-             FO | 1.0 | 1.0
+        nat\sex    M    F
+             BE  1.0  1.0
+             FO  1.0  1.0
         >>> a.prepend(x.sex, a.sum(x.sex), 'M+F')
-        nat\\sex | M+F |   M |   F
-             BE | 2.0 | 1.0 | 1.0
-             FO | 2.0 | 1.0 | 1.0
+        nat\\sex  M+F    M    F
+             BE  2.0  1.0  1.0
+             FO  2.0  1.0  1.0
         >>> a.prepend(x.nat, 2, 'Other')
-        nat\\sex |   M |   F
-          Other | 2.0 | 2.0
-             BE | 1.0 | 1.0
-             FO | 1.0 | 1.0
+        nat\\sex    M    F
+          Other  2.0  2.0
+             BE  1.0  1.0
+             FO  1.0  1.0
         >>> b = zeros('type=type1,type2')
         >>> b
-        type | type1 | type2
-             |   0.0 |   0.0
+        type  type1  type2
+                0.0    0.0
         >>> a.prepend(x.nat, b, 'Other')
-         type | nat\sex |   M |   F
-        type1 |   Other | 0.0 | 0.0
-        type1 |      BE | 1.0 | 1.0
-        type1 |      FO | 1.0 | 1.0
-        type2 |   Other | 0.0 | 0.0
-        type2 |      BE | 1.0 | 1.0
-        type2 |      FO | 1.0 | 1.0
+         type  nat\sex    M    F
+        type1    Other  0.0  0.0
+        type1       BE  1.0  1.0
+        type1       FO  1.0  1.0
+        type2    Other  0.0  0.0
+        type2       BE  1.0  1.0
+        type2       FO  1.0  1.0
         """
         axis = self.axes[axis]
         if np.isscalar(value):
@@ -8956,30 +8956,30 @@ def extend(self, axis, other):
         >>> xtype = Axis('type=type1,type2')
         >>> arr1 = ones([sex, xtype])
         >>> arr1
-        sex\\type | type1 | type2
-               M |   1.0 |   1.0
-               F |   1.0 |   1.0
+        sex\\type  type1  type2
+               M    1.0    1.0
+               F    1.0    1.0
         >>> arr2 = zeros([sex2, xtype])
         >>> arr2
-        sex\\type | type1 | type2
-               U |   0.0 |   0.0
+        sex\\type  type1  type2
+               U    0.0    0.0
         >>> arr1.extend(x.sex, arr2)
-        sex\\type | type1 | type2
-               M |   1.0 |   1.0
-               F |   1.0 |   1.0
-               U |   0.0 |   0.0
+        sex\\type  type1  type2
+               M    1.0    1.0
+               F    1.0    1.0
+               U    0.0    0.0
         >>> arr3 = zeros([sex2, nat])
         >>> arr3
-        sex\\nat |  BE |  FO
-              U | 0.0 | 0.0
+        sex\\nat   BE   FO
+              U  0.0  0.0
         >>> arr1.extend(x.sex, arr3)
-        sex | type\\nat |  BE |  FO
-          M |    type1 | 1.0 | 1.0
-          M |    type2 | 1.0 | 1.0
-          F |    type1 | 1.0 | 1.0
-          F |    type2 | 1.0 | 1.0
-          U |    type1 | 0.0 | 0.0
-          U |    type2 | 0.0 | 0.0
+        sex  type\\nat   BE   FO
+          M     type1  1.0  1.0
+          M     type2  1.0  1.0
+          F     type1  1.0  1.0
+          F     type2  1.0  1.0
+          U     type1  0.0  0.0
+          U     type2  0.0  0.0
         """
         result, (self_target, other_target) = \
             concat_empty(axis, (self.axes, other.axes), self.dtype)
@@ -9005,35 +9005,35 @@ def transpose(self, *args):
         --------
         >>> arr = ndtest((2, 2, 2))
         >>> arr
-         a | b\\c | c0 | c1
-        a0 |  b0 |  0 |  1
-        a0 |  b1 |  2 |  3
-        a1 |  b0 |  4 |  5
-        a1 |  b1 |  6 |  7
+         a  b\\c  c0  c1
+        a0   b0   0   1
+        a0   b1   2   3
+        a1   b0   4   5
+        a1   b1   6   7
         >>> arr.transpose('b', 'c', 'a')
-         b | c\\a | a0 | a1
-        b0 |  c0 |  0 |  4
-        b0 |  c1 |  1 |  5
-        b1 |  c0 |  2 |  6
-        b1 |  c1 |  3 |  7
+         b  c\\a  a0  a1
+        b0   c0   0   4
+        b0   c1   1   5
+        b1   c0   2   6
+        b1   c1   3   7
         >>> arr.transpose('b')
-         b | a\\c | c0 | c1
-        b0 |  a0 |  0 |  1
-        b0 |  a1 |  4 |  5
-        b1 |  a0 |  2 |  3
-        b1 |  a1 |  6 |  7
+         b  a\\c  c0  c1
+        b0   a0   0   1
+        b0   a1   4   5
+        b1   a0   2   3
+        b1   a1   6   7
         >>> arr.transpose(..., 'a')  # doctest: +SKIP
-         b | c\\a | a0 | a1
-        b0 |  c0 |  0 |  4
-        b0 |  c1 |  1 |  5
-        b1 |  c0 |  2 |  6
-        b1 |  c1 |  3 |  7
+         b  c\\a  a0  a1
+        b0   c0   0   4
+        b0   c1   1   5
+        b1   c0   2   6
+        b1   c1   3   7
         >>> arr.transpose('c', ..., 'a')  # doctest: +SKIP
-         c | b\\a | a0 | a1
-        c0 |  b0 |  0 |  4
-        c0 |  b1 |  2 |  6
-        c1 |  b0 |  1 |  5
-        c1 |  b1 |  3 |  7
+         c  b\\a  a0  a1
+        c0   b0   0   4
+        c0   b1   2   6
+        c1   b0   1   5
+        c1   b1   3   7
         """
         if len(args) == 1 and isinstance(args[0], (tuple, list, AxisCollection)):
             axes = args[0]
@@ -9111,9 +9111,9 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
         >>> fpath = abspath('test.csv')
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
-        nat\\sex | M | F
-             BE | 0 | 1
-             FO | 2 | 3
+        nat\\sex  M  F
+             BE  0  1
+             FO  2  3
         >>> a.to_csv(fpath)
         >>> with open(fpath) as f:
         ...     print(f.read().strip())
@@ -9561,23 +9561,23 @@ def __array__(self, dtype=None):
     """
     # guessing each axis
     >>> a.set_labels({'M': 'Men', 'BE': 'Belgian'})
-    nat\\sex | Men | Women
-    BE | 0 | 1
-    FO | 2 | 3
+    nat\\sex  Men  Women
+    BE  0  1
+    FO  2  3
 
     # we have to choose which one to support because it is probably not a good idea to simultaneously support the
     # following syntax (even though we *could* support both if we split values on , before we determine if
     # the key is an axis or a label by looking if the value is a list or a single string.
     >>> a.set_labels({'sex': 'Men,Women', 'BE': 'Belgian'})
-    nat\\sex | Men | Women
-    BE | 0 | 1
-    FO | 2 | 3
+    nat\\sex  Men  Women
+    BE  0  1
+    FO  2  3
     # this is shorter but I do not like it because string are both quoted and not quoted and you cannot have int
     # labels
     >>> a.set_labels(M='Men', BE='Belgian')
-    nat\\sex | Men | Women
-    BE | 0 | 1
-    FO | 2 | 3
+    nat\\sex  Men  Women
+    BE  0  1
+    FO  2  3
     """
     def set_labels(self, axis, labels=None, inplace=False):
         """Replaces the labels of an axis of array.
@@ -9603,43 +9603,43 @@ def set_labels(self, axis, labels=None, inplace=False):
         --------
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
-        nat\\sex | M | F
-             BE | 0 | 1
-             FO | 2 | 3
+        nat\\sex  M  F
+             BE  0  1
+             FO  2  3
         >>> a.set_labels(x.sex, ['Men', 'Women'])
-        nat\\sex | Men | Women
-             BE |   0 |     1
-             FO |   2 |     3
+        nat\\sex  Men  Women
+             BE    0      1
+             FO    2      3
 
         when passing a single string as labels, it will be interpreted to create the list of labels, so that one can
         use the same syntax than during axis creation.
 
         >>> a.set_labels(x.sex, 'Men,Women')
-        nat\\sex | Men | Women
-             BE |   0 |     1
-             FO |   2 |     3
+        nat\\sex  Men  Women
+             BE    0      1
+             FO    2      3
 
         to replace only some labels, one must give a mapping giving the new label for each label to replace
 
         >>> a.set_labels(x.sex, {'M': 'Men'})
-        nat\\sex | Men | F
-             BE |   0 | 1
-             FO |   2 | 3
+        nat\\sex  Men  F
+             BE    0  1
+             FO    2  3
 
         to replace labels for several axes at the same time, one should give a mapping giving the new labels for each
         changed axis
 
         >>> a.set_labels({'sex': 'Men,Women', 'nat': 'Belgian,Foreigner'})
-          nat\\sex | Men | Women
-          Belgian |   0 |     1
-        Foreigner |   2 |     3
+          nat\\sex  Men  Women
+          Belgian    0      1
+        Foreigner    2      3
 
         one can also replace some labels in several axes by giving a mapping of mappings
 
         >>> a.set_labels({'sex': {'M': 'Men'}, 'nat': {'BE': 'Belgian'}})
-        nat\\sex | Men | F
-        Belgian |   0 | 1
-             FO |   2 | 3
+        nat\\sex  Men  F
+        Belgian    0  1
+             FO    2  3
         """
         if isinstance(axis, dict):
             changes = axis
@@ -9686,17 +9686,17 @@ def shift(self, axis, n=1):
         --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3')
         >>> a
-        sex\\type | type1 | type2 | type3
-               M |     0 |     1 |     2
-               F |     3 |     4 |     5
+        sex\\type  type1  type2  type3
+               M      0      1      2
+               F      3      4      5
         >>> a.shift(x.type)
-        sex\\type | type2 | type3
-               M |     0 |     1
-               F |     3 |     4
+        sex\\type  type2  type3
+               M      0      1
+               F      3      4
         >>> a.shift(x.type, n=-1)
-        sex\\type | type1 | type2
-               M |     1 |     2
-               F |     4 |     5
+        sex\\type  type1  type2
+               M      1      2
+               F      4      5
         """
         axis = self.axes[axis]
         if n > 0:
@@ -9743,20 +9743,20 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         --------
         >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum(x.type)
         >>> a
-        sex\\type | type1 | type2 | type3
-               M |     0 |     1 |     3
-               F |     3 |     7 |    12
+        sex\\type  type1  type2  type3
+               M      0      1      3
+               F      3      7     12
         >>> a.diff()
-        sex\\type | type2 | type3
-               M |     1 |     2
-               F |     4 |     5
+        sex\\type  type2  type3
+               M      1      2
+               F      4      5
         >>> a.diff(n=2)
-        sex\\type | type3
-               M |     1
-               F |     1
+        sex\\type  type3
+               M      1
+               F      1
         >>> a.diff(x.sex)
-        sex\\type | type1 | type2 | type3
-               F |     3 |     6 |     9
+        sex\\type  type1  type2  type3
+               F      3      6      9
         """
         array = self
         for _ in range(n):
@@ -9806,17 +9806,17 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         >>> a = LArray([[1.0, 2.0, 3.0, 3.0], [2.0, 3.0, 1.5, 3.0]],
         ...            [sex, year])
         >>> a
-        sex\\year | 2016 | 2017 | 2018 | 2019
-               M |  1.0 |  2.0 |  3.0 |  3.0
-               F |  2.0 |  3.0 |  1.5 |  3.0
+        sex\\year  2016  2017  2018  2019
+               M   1.0   2.0   3.0   3.0
+               F   2.0   3.0   1.5   3.0
         >>> a.growth_rate()
-        sex\\year | 2017 | 2018 | 2019
-               M |  1.0 |  0.5 |  0.0
-               F |  0.5 | -0.5 |  1.0
+        sex\\year  2017  2018  2019
+               M   1.0   0.5   0.0
+               F   0.5  -0.5   1.0
         >>> a.growth_rate(d=2)
-        sex\\year |  2018 | 2019
-               M |   2.0 |  0.5
-               F | -0.25 |  0.0
+        sex\\year   2018  2019
+               M    2.0   0.5
+               F  -0.25   0.0
         """
         diff = self.diff(axis=axis, d=d, label=label)
         axis_obj = self.axes[axis]
@@ -9836,12 +9836,12 @@ def compact(self):
         >>> a = LArray([[1, 2],
         ...             [1, 2]], [Axis('sex=M,F'), Axis('nat=BE,FO')])
         >>> a
-        sex\\nat | BE | FO
-              M |  1 |  2
-              F |  1 |  2
+        sex\\nat  BE  FO
+              M   1   2
+              F   1   2
         >>> a.compact()
-        nat | BE | FO
-            |  1 |  2
+        nat  BE  FO
+              1   2
         """
         res = self
         for axis in res.axes:
@@ -9871,34 +9871,34 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         --------
         >>> arr = ndtest((2, 3))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
         >>> arr.combine_axes()
-        a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
-            |     0 |     1 |     2 |     3 |     4 |     5
+        a_b  a0_b0  a0_b1  a0_b2  a1_b0  a1_b1  a1_b2
+                 0      1      2      3      4      5
         >>> arr.combine_axes(sep='/')
-        a/b | a0/b0 | a0/b1 | a0/b2 | a1/b0 | a1/b1 | a1/b2
-            |     0 |     1 |     2 |     3 |     4 |     5
+        a/b  a0/b0  a0/b1  a0/b2  a1/b0  a1/b1  a1/b2
+                 0      1      2      3      4      5
         >>> arr = ndtest((2, 3, 4))
         >>> arr
-         a | b\\c | c0 | c1 | c2 | c3
-        a0 |  b0 |  0 |  1 |  2 |  3
-        a0 |  b1 |  4 |  5 |  6 |  7
-        a0 |  b2 |  8 |  9 | 10 | 11
-        a1 |  b0 | 12 | 13 | 14 | 15
-        a1 |  b1 | 16 | 17 | 18 | 19
-        a1 |  b2 | 20 | 21 | 22 | 23
+         a  b\\c  c0  c1  c2  c3
+        a0   b0   0   1   2   3
+        a0   b1   4   5   6   7
+        a0   b2   8   9  10  11
+        a1   b0  12  13  14  15
+        a1   b1  16  17  18  19
+        a1   b2  20  21  22  23
         >>> arr.combine_axes((x.a, x.c))
-        a_c\\b | b0 | b1 | b2
-        a0_c0 |  0 |  4 |  8
-        a0_c1 |  1 |  5 |  9
-        a0_c2 |  2 |  6 | 10
-        a0_c3 |  3 |  7 | 11
-        a1_c0 | 12 | 16 | 20
-        a1_c1 | 13 | 17 | 21
-        a1_c2 | 14 | 18 | 22
-        a1_c3 | 15 | 19 | 23
+        a_c\\b  b0  b1  b2
+        a0_c0   0   4   8
+        a0_c1   1   5   9
+        a0_c2   2   6  10
+        a0_c3   3   7  11
+        a1_c0  12  16  20
+        a1_c1  13  17  21
+        a1_c2  14  18  22
+        a1_c3  15  19  23
         """
         axes = self.axes if axes is None else self.axes[axes]
         # transpose all axes next to each other, using position of first axis
@@ -9937,28 +9937,28 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         --------
         >>> arr = ndtest((2, 3))
         >>> arr
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
         >>> combined = arr.combine_axes()
         >>> combined
-        a_b | a0_b0 | a0_b1 | a0_b2 | a1_b0 | a1_b1 | a1_b2
-            |     0 |     1 |     2 |     3 |     4 |     5
+        a_b  a0_b0  a0_b1  a0_b2  a1_b0  a1_b1  a1_b2
+                 0      1      2      3      4      5
         >>> combined.split_axis(x.a_b)
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
 
         Split labels using regex
 
         >>> combined = ndrange('a_b = a0b0..a1b2')
         >>> combined
-        a_b | a0b0 | a0b1 | a0b2 | a1b0 | a1b1 | a1b2
-            |    0 |    1 |    2 |    3 |    4 |    5
+        a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
+                0     1     2     3     4     5
         >>> combined.split_axis(x.a_b, regex='(\w{2})(\w{2})')
-        a\\b | b0 | b1 | b2
-         a0 |  0 |  1 |  2
-         a1 |  3 |  4 |  5
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
         """
         return self.reshape(self.axes.split_axis(axis, sep, names, regex))
 
@@ -10098,32 +10098,32 @@ def from_lists(data, nb_index=None, index_col=None):
     --------
     >>> from_lists([['sex', 'M', 'F'],
     ...             ['',      0,   1]])
-    sex | M | F
-        | 0 | 1
+    sex  M  F
+         0  1
     >>> from_lists([['sex\\year', 1991, 1992, 1993],
     ...             [ 'M',           0,    1,    2],
     ...             [ 'F',           3,    4,    5]])
-    sex\\year | 1991 | 1992 | 1993
-           M |    0 |    1 |    2
-           F |    3 |    4 |    5
+    sex\\year  1991  1992  1993
+           M     0     1     2
+           F     3     4     5
     >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
     ...             [  'M', 'BE',           1,    0,    0],
     ...             [  'M', 'FO',           2,    0,    0],
     ...             [  'F', 'BE',           0,    0,    1]])
-    sex | nat\\year | 1991 | 1992 | 1993
-      M |       BE |  1.0 |  0.0 |  0.0
-      M |       FO |  2.0 |  0.0 |  0.0
-      F |       BE |  0.0 |  0.0 |  1.0
-      F |       FO |  nan |  nan |  nan
+    sex  nat\\year  1991  1992  1993
+      M        BE   1.0   0.0   0.0
+      M        FO   2.0   0.0   0.0
+      F        BE   0.0   0.0   1.0
+      F        FO   nan   nan   nan
     >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
     ...             [  'M', 'BE',     1,    0,    0],
     ...             [  'M', 'FO',     2,    0,    0],
     ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
-    sex | nat\\{2} | 1991 | 1992 | 1993
-      M |      BE |  1.0 |  0.0 |  0.0
-      M |      FO |  2.0 |  0.0 |  0.0
-      F |      BE |  0.0 |  0.0 |  1.0
-      F |      FO |  nan |  nan |  nan
+    sex  nat\\{2}  1991  1992  1993
+      M       BE   1.0   0.0   0.0
+      M       FO   2.0   0.0   0.0
+      F       BE   0.0   0.0   1.0
+      F       FO   nan   nan   nan
     """
     if nb_index is not None and index_col is not None:
         raise ValueError("cannot specify both nb_index and index_col")
@@ -10163,31 +10163,31 @@ def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
     Examples
     --------
     >>> from_string("sex,M,F\\n,0,1")
-    sex | M | F
-        | 0 | 1
+    sex  M  F
+         0  1
     >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
-    nat\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
 
     Each label is stripped of leading and trailing whitespace, so this is valid too:
 
     >>> from_string('''nat\\sex, M, F
     ...                BE,       0, 1
     ...                FO,       2, 3''')
-    nat\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> from_string('''age,nat\\sex, M, F
     ...                0,  BE,       0, 1
     ...                0,  FO,       2, 3
     ...                1,  BE,       4, 5
     ...                1,  FO,       6, 7''')
-    age | nat\sex | M | F
-      0 |      BE | 0 | 1
-      0 |      FO | 2 | 3
-      1 |      BE | 4 | 5
-      1 |      FO | 6 | 7
+    age  nat\sex  M  F
+      0       BE  0  1
+      0       FO  2  3
+      1       BE  4  5
+      1       FO  6  7
 
     Empty lines at the beginning or end are ignored, so one can also format the string like this:
 
@@ -10196,9 +10196,9 @@ def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
     ... BE,       0, 1
     ... FO,       2, 3
     ... ''')
-    nat\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
     """
 
     return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
@@ -10254,19 +10254,19 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
 
     >>> a.to_csv(fpath)
     >>> read_csv(fpath)
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> read_csv(fpath, sort_columns=True)
-    nat\\sex | F | M
-         BE | 1 | 0
-         FO | 3 | 2
+    nat\\sex  F  M
+         BE  1  0
+         FO  3  2
     >>> fpath = abspath('no_axis_name.csv')
     >>> a.to_csv(fpath, dialect='classic')
     >>> read_csv(fpath, nb_index=1)
-    nat\\{1} | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\{1}  M  F
+         BE  0  1
+         FO  2  3
     """
     if dialect == 'liam2':
         # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
@@ -10459,20 +10459,20 @@ def zeros(axes, title='', dtype=float, order='C'):
     Examples
     --------
     >>> zeros('nat=BE,FO;sex=M,F')
-    nat\sex |   M |   F
-         BE | 0.0 | 0.0
-         FO | 0.0 | 0.0
+    nat\sex    M    F
+         BE  0.0  0.0
+         FO  0.0  0.0
     >>> zeros([(['BE', 'FO'], 'nat'),
     ...        (['M', 'F'], 'sex')])
-    nat\sex |   M |   F
-         BE | 0.0 | 0.0
-         FO | 0.0 | 0.0
+    nat\sex    M    F
+         BE  0.0  0.0
+         FO  0.0  0.0
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> zeros([nat, sex])
-    nat\sex |   M |   F
-         BE | 0.0 | 0.0
-         FO | 0.0 | 0.0
+    nat\sex    M    F
+         BE  0.0  0.0
+         FO  0.0  0.0
     """
     axes = AxisCollection(axes)
     return LArray(np.zeros(axes.shape, dtype, order), axes, title)
@@ -10503,9 +10503,9 @@ def zeros_like(array, title='', dtype=None, order='K'):
     --------
     >>> a = ndrange((2, 3))
     >>> zeros_like(a)
-    {0}*\\{1}* | 0 | 1 | 2
-            0 | 0 | 0 | 0
-            1 | 0 | 0 | 0
+    {0}*\\{1}*  0  1  2
+            0  0  0  0
+            1  0  0  0
     """
     if not title:
         title = array.title
@@ -10538,9 +10538,9 @@ def ones(axes, title='', dtype=float, order='C'):
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> ones([nat, sex])
-    nat\\sex |   M |   F
-         BE | 1.0 | 1.0
-         FO | 1.0 | 1.0
+    nat\\sex    M    F
+         BE  1.0  1.0
+         FO  1.0  1.0
     """
     axes = AxisCollection(axes)
     return LArray(np.ones(axes.shape, dtype, order), axes, title)
@@ -10571,9 +10571,9 @@ def ones_like(array, title='', dtype=None, order='K'):
     --------
     >>> a = ndrange((2, 3))
     >>> ones_like(a)
-    {0}*\\{1}* | 0 | 1 | 2
-            0 | 1 | 1 | 1
-            1 | 1 | 1 | 1
+    {0}*\\{1}*  0  1  2
+            0  1  1  1
+            1  1  1  1
     """
     axes = array.axes
     if not title:
@@ -10607,9 +10607,9 @@ def empty(axes, title='', dtype=float, order='C'):
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> empty([nat, sex])  # doctest: +SKIP
-    nat\\sex |                  M |                  F
-         BE | 2.47311483356e-315 | 2.47498446195e-315
-         FO |                0.0 | 6.07684618082e-31
+    nat\\sex                   M                   F
+         BE  2.47311483356e-315  2.47498446195e-315
+         FO                 0.0  6.07684618082e-31
     """
     axes = AxisCollection(axes)
     return LArray(np.empty(axes.shape, dtype, order), axes, title)
@@ -10640,10 +10640,10 @@ def empty_like(array, title='', dtype=None, order='K'):
     --------
     >>> a = ndrange((3, 2))
     >>> empty_like(a)   # doctest: +SKIP
-    -\- |                  0 |                  1
-      0 | 2.12199579097e-314 | 6.36598737388e-314
-      1 | 1.06099789568e-313 | 1.48539705397e-313
-      2 | 1.90979621226e-313 | 2.33419537056e-313
+    -\-                   0                   1
+      0  2.12199579097e-314  6.36598737388e-314
+      1  1.06099789568e-313  1.48539705397e-313
+      2  1.90979621226e-313  2.33419537056e-313
     """
     if not title:
         title = array.title
@@ -10678,17 +10678,17 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> full([nat, sex], 42.0)
-    nat\\sex |    M |    F
-         BE | 42.0 | 42.0
-         FO | 42.0 | 42.0
+    nat\\sex     M     F
+         BE  42.0  42.0
+         FO  42.0  42.0
     >>> initial_value = ndrange([sex])
     >>> initial_value
-    sex | M | F
-        | 0 | 1
+    sex  M  F
+         0  1
     >>> full([nat, sex], initial_value)
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 0 | 1
+    nat\\sex  M  F
+         BE  0  1
+         FO  0  1
     """
     if isinstance(fill_value, Axis):
         raise ValueError("If you want to pass several axes or dimension lengths to full, "
@@ -10727,9 +10727,9 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
     --------
     >>> a = ndrange((2, 3))
     >>> full_like(a, 5)
-    {0}*\\{1}* | 0 | 1 | 2
-            0 | 5 | 5 | 5
-            1 | 5 | 5 | 5
+    {0}*\\{1}*  0  1  2
+            0  5  5  5
+            1  5  5  5
     """
     if not title:
         title = array.title
@@ -10780,67 +10780,67 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> year = Axis('year=2016..2019')
     >>> sex = Axis('sex=M,F')
     >>> create_sequential(year)
-    year | 2016 | 2017 | 2018 | 2019
-         |    0 |    1 |    2 |    3
+    year  2016  2017  2018  2019
+             0     1     2     3
     >>> create_sequential('year=2016..2019')
-    year | 2016 | 2017 | 2018 | 2019
-         |    0 |    1 |    2 |    3
+    year  2016  2017  2018  2019
+             0     1     2     3
     >>> create_sequential(year, 1.0, 0.5)
-    year | 2016 | 2017 | 2018 | 2019
-         |  1.0 |  1.5 |  2.0 |  2.5
+    year  2016  2017  2018  2019
+           1.0   1.5   2.0   2.5
     >>> create_sequential(year, 1.0, mult=1.5)
-    year | 2016 | 2017 | 2018 |  2019
-         |  1.0 |  1.5 | 2.25 | 3.375
+    year  2016  2017  2018   2019
+           1.0   1.5  2.25  3.375
     >>> inc = LArray([1, 2], [sex])
     >>> inc
-    sex | M | F
-        | 1 | 2
+    sex  M  F
+         1  2
     >>> create_sequential(year, 1.0, inc)
-    sex\\year | 2016 | 2017 | 2018 | 2019
-           M |  1.0 |  2.0 |  3.0 |  4.0
-           F |  1.0 |  3.0 |  5.0 |  7.0
+    sex\\year  2016  2017  2018  2019
+           M   1.0   2.0   3.0   4.0
+           F   1.0   3.0   5.0   7.0
     >>> mult = LArray([2, 3], [sex])
     >>> mult
-    sex | M | F
-        | 2 | 3
+    sex  M  F
+         2  3
     >>> create_sequential(year, 1.0, mult=mult)
-    sex\\year | 2016 | 2017 | 2018 | 2019
-           M |  1.0 |  2.0 |  4.0 |  8.0
-           F |  1.0 |  3.0 |  9.0 | 27.0
+    sex\\year  2016  2017  2018  2019
+           M   1.0   2.0   4.0   8.0
+           F   1.0   3.0   9.0  27.0
     >>> initial = LArray([3, 4], [sex])
     >>> initial
-    sex | M | F
-        | 3 | 4
+    sex  M  F
+         3  4
     >>> create_sequential(year, initial, inc, mult)
-    sex\\year | 2016 | 2017 | 2018 | 2019
-           M |    3 |    7 |   15 |   31
-           F |    4 |   14 |   44 |  134
+    sex\\year  2016  2017  2018  2019
+           M     3     7    15    31
+           F     4    14    44   134
     >>> def modify(prev_value):
     ...     return prev_value / 2
     >>> create_sequential(year, 8, func=modify)
-    year | 2016 | 2017 | 2018 | 2019
-         |    8 |    4 |    2 |    1
+    year  2016  2017  2018  2019
+             8     4     2     1
     >>> create_sequential(3)
-    {0}* | 0 | 1 | 2
-         | 0 | 1 | 2
+    {0}*  0  1  2
+          0  1  2
     >>> create_sequential(x.year, axes=(sex, year))
-    sex\\year | 2016 | 2017 | 2018 | 2019
-           M |    0 |    1 |    2 |    3
-           F |    0 |    1 |    2 |    3
+    sex\\year  2016  2017  2018  2019
+           M     0     1     2     3
+           F     0     1     2     3
 
     create_sequential can be used as the inverse of growth_rate:
 
     >>> a = LArray([1.0, 2.0, 3.0, 3.0], year)
     >>> a
-    year | 2016 | 2017 | 2018 | 2019
-         |  1.0 |  2.0 |  3.0 |  3.0
+    year  2016  2017  2018  2019
+           1.0   2.0   3.0   3.0
     >>> g = a.growth_rate() + 1
     >>> g
-    year | 2017 | 2018 | 2019
-         |  2.0 |  1.5 |  1.0
+    year  2017  2018  2019
+           2.0   1.5   1.0
     >>> create_sequential(year, a[2016], mult=g)
-    year | 2016 | 2017 | 2018 | 2019
-         |  1.0 |  2.0 |  3.0 |  3.0
+    year  2016  2017  2018  2019
+           1.0   2.0   3.0   3.0
     """
     if inc is None:
         inc = 1 if mult is 1 else 0
@@ -10981,37 +10981,37 @@ def ndrange(axes, start=0, title='', dtype=int):
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> ndrange([nat, sex])
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> ndrange(['nat=BE,FO', 'sex=M,F'])
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> ndrange([(['BE', 'FO'], 'nat'),
     ...          (['M', 'F'], 'sex')])
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> ndrange([('BE,FO', 'nat'),
     ...          ('M,F', 'sex')])
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> ndrange('nat=BE,FO;sex=M,F')
-    nat\\sex | M | F
-         BE | 0 | 1
-         FO | 2 | 3
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> ndrange([2, 3], dtype=float)
-    {0}*\\{1}* |   0 |   1 |   2
-            0 | 0.0 | 1.0 | 2.0
-            1 | 3.0 | 4.0 | 5.0
+    {0}*\\{1}*    0    1    2
+            0  0.0  1.0  2.0
+            1  3.0  4.0  5.0
     >>> ndrange(3, start=2)
-    {0}* | 0 | 1 | 2
-         | 2 | 3 | 4
+    {0}*  0  1  2
+          2  3  4
     >>> ndrange('a,b,c')
-    {0} | a | b | c
-        | 0 | 1 | 2
+    {0}  a  b  c
+         0  1  2
     """
     # XXX: implement something like:
     # >>> mat = ndrange([['BE', 'FO'], ['M', 'F']], axes=['nat', 'sex'])
@@ -11053,16 +11053,16 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     Examples
     --------
     >>> ndtest(6)
-    a | a0 | a1 | a2 | a3 | a4 | a5
-      |  0 |  1 |  2 |  3 |  4 |  5
+    a  a0  a1  a2  a3  a4  a5
+        0   1   2   3   4   5
     >>> ndtest((2, 3))
-    a\\b | b0 | b1 | b2
-     a0 |  0 |  1 |  2
-     a1 |  3 |  4 |  5
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
     >>> ndtest((2, 3), label_start=1)
-    a\\b | b1 | b2 | b3
-     a1 |  0 |  1 |  2
-     a2 |  3 |  4 |  5
+    a\\b  b1  b2  b3
+     a1   0   1   2
+     a2   3   4   5
     """
     a = ndrange(shape, start=start, dtype=dtype, title=title)
     # TODO: move this to a class method on AxisCollection
@@ -11122,25 +11122,25 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     >>> sex = Axis('sex=M,F')
     >>> a = ndrange([nat, sex], start=1)
     >>> a
-    nat\\sex | M | F
-         BE | 1 | 2
-         FO | 3 | 4
+    nat\\sex  M  F
+         BE  1  2
+         FO  3  4
     >>> d = diag(a)
     >>> d
-    nat,sex | BE,M | FO,F
-            |    1 |    4
+    nat,sex  BE,M  FO,F
+                1     4
     >>> diag(d)
-    nat\\sex | M | F
-         BE | 1 | 0
-         FO | 0 | 4
+    nat\\sex  M  F
+         BE  1  0
+         FO  0  4
     >>> a = ndrange(sex, start=1)
     >>> a
-    sex | M | F
-        | 1 | 2
+    sex  M  F
+         1  2
     >>> diag(a)
-    sex\\sex | M | F
-          M | 1 | 0
-          F | 0 | 2
+    sex\\sex  M  F
+          M  1  0
+          F  0  2
     """
     if a.ndim == 1:
         axis = a.axes[0]
@@ -11190,19 +11190,19 @@ def labels_array(axes, title=''):
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
     >>> labels_array(sex)
-    sex | M | F
-        | M | F
+    sex  M  F
+         M  F
     >>> labels_array((nat, sex))
-    nat | sex\\axis | nat | sex
-     BE |        M |  BE |   M
-     BE |        F |  BE |   F
-     FO |        M |  FO |   M
-     FO |        F |  FO |   F
+    nat  sex\\axis  nat  sex
+     BE         M   BE    M
+     BE         F   BE    F
+     FO         M   FO    M
+     FO         F   FO    F
     """
     # >>> labels_array((nat, sex))
-    # nat\\sex |    M |    F
-    #      BE | BE,M | BE,F
-    #      FO | FO,M | FO,F
+    # nat\\sex     M     F
+    #      BE  BE,M  BE,F
+    #      FO  FO,M  FO,F
     axes = AxisCollection(axes)
     if len(axes) > 1:
         res_axes = axes + Axis(axes.names, 'axis')
@@ -11254,19 +11254,19 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     Examples
     --------
     >>> eye(2, dtype=int)
-    {0}*\\{1}* | 0 | 1
-            0 | 1 | 0
-            1 | 0 | 1
+    {0}*\\{1}*  0  1
+            0  1  0
+            1  0  1
     >>> sex = Axis('sex=M,F')
     >>> eye(sex)
-    sex\\sex |   M |   F
-          M | 1.0 | 0.0
-          F | 0.0 | 1.0
+    sex\\sex    M    F
+          M  1.0  0.0
+          F  0.0  1.0
     >>> eye(3, k=1)
-    {0}*\\{1}* |   0 |   1 |   2
-            0 | 0.0 | 1.0 | 0.0
-            1 | 0.0 | 0.0 | 1.0
-            2 | 0.0 | 0.0 | 0.0
+    {0}*\\{1}*    0    1    2
+            0  0.0  1.0  0.0
+            1  0.0  0.0  1.0
+            2  0.0  0.0  0.0
     """
     if columns is None:
         columns = rows.copy() if isinstance(rows, Axis) else rows
@@ -11369,48 +11369,48 @@ def stack(arrays, axis=None, title=''):
     >>> sex = Axis('sex=M,F')
     >>> arr1 = ones(nat)
     >>> arr1
-    nat |  BE |  FO
-        | 1.0 | 1.0
+    nat   BE   FO
+         1.0  1.0
     >>> arr2 = zeros(nat)
     >>> arr2
-    nat |  BE |  FO
-        | 0.0 | 0.0
+    nat   BE   FO
+         0.0  0.0
 
     In the case the axis to create has already been defined in a variable
 
     >>> stack({'M': arr1, 'F': arr2}, sex)
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
 
     Otherwise (when one wants to create an axis from scratch), any of these syntaxes works:
 
     >>> stack([arr1, arr2], 'sex=M,F')
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
     >>> stack({'M': arr1, 'F': arr2}, 'sex=M,F')
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
     >>> stack([('M', arr1), ('F', arr2)], 'sex')
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
 
     When stacking arrays with different axes, the result has the union of all axes present:
 
     >>> stack({'M': arr1, 'F': 0}, sex)
-    nat\\sex |   M |   F
-         BE | 1.0 | 0.0
-         FO | 1.0 | 0.0
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
 
     Creating an axis without name nor labels can be done using:
 
     >>> stack((arr1, arr2))
-    nat\\{1}* |   0 |   1
-          BE | 1.0 | 0.0
-          FO | 1.0 | 0.0
+    nat\\{1}*    0    1
+          BE  1.0  0.0
+          FO  1.0  0.0
     """
     if isinstance(axis, str) and '=' in axis:
         axis = Axis(axis)
diff --git a/larray/ipfp.py b/larray/ipfp.py
index 001576649..9d1dcdcbc 100644
--- a/larray/ipfp.py
+++ b/larray/ipfp.py
@@ -79,23 +79,23 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     >>> b = Axis('b=b0,b1')
     >>> initial = LArray([[2, 1], [1, 2]], [a, b])
     >>> initial
-    a\\b | b0 | b1
-     a0 |  2 |  1
-     a1 |  1 |  2
+    a\\b  b0  b1
+     a0   2   1
+     a1   1   2
     >>> target_sum_along_a = LArray([2, 1], b)
     >>> target_sum_along_a
-    b | b0 | b1
-      |  2 |  1
+    b  b0  b1
+        2   1
     >>> target_sum_along_b = LArray([1, 2], a)
     >>> target_sum_along_b
-    a | a0 | a1
-      |  1 |  2
+    a  a0  a1
+        1   2
     >>> result = ipfp([target_sum_along_a, target_sum_along_b], initial, threshold=0.01)
     >>> # round result so that its display is nicer
     ... round(result, 2)
-    a\\b |   b0 |   b1
-     a0 | 0.85 | 0.15
-     a1 | 1.15 | 0.85
+    a\\b    b0    b1
+     a0  0.85  0.15
+     a1  1.15  0.85
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}
diff --git a/larray/tests/test_la.py b/larray/tests/test_la.py
index 96ac63a5a..7bb8aae8d 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_la.py
@@ -1204,35 +1204,33 @@ def test_str(self):
 
         # one dimension
         self.assertEqual(str(self.small[lipro3, sex['M']]), """\
-lipro | P01 | P02 | P03
-      |   0 |   1 |   2""")
+lipro  P01  P02  P03
+         0    1    2""")
         # two dimensions
         self.assertEqual(str(self.small.filter(lipro=lipro3)), """\
-sex\lipro | P01 | P02 | P03
-        M |   0 |   1 |   2
-        F |  15 |  16 |  17""")
+sex\lipro  P01  P02  P03
+        M    0    1    2
+        F   15   16   17""")
         # four dimensions (too many rows)
         self.assertEqual(str(self.larray.filter(lipro=lipro3)), """\
-age | geo | sex\lipro |      P01 |      P02 |      P03
-  0 | A11 |         M |      0.0 |      1.0 |      2.0
-  0 | A11 |         F |     15.0 |     16.0 |     17.0
-  0 | A12 |         M |     30.0 |     31.0 |     32.0
-  0 | A12 |         F |     45.0 |     46.0 |     47.0
-  0 | A13 |         M |     60.0 |     61.0 |     62.0
-... | ... |       ... |      ... |      ... |      ...
-115 | A92 |         F | 153045.0 | 153046.0 | 153047.0
-115 | A93 |         M | 153060.0 | 153061.0 | 153062.0
-115 | A93 |         F | 153075.0 | 153076.0 | 153077.0
-115 | A21 |         M | 153090.0 | 153091.0 | 153092.0
-115 | A21 |         F | 153105.0 | 153106.0 | 153107.0""")
+age  geo  sex\lipro       P01       P02       P03
+  0  A11          M       0.0       1.0       2.0
+  0  A11          F      15.0      16.0      17.0
+  0  A12          M      30.0      31.0      32.0
+  0  A12          F      45.0      46.0      47.0
+  0  A13          M      60.0      61.0      62.0
+...  ...        ...       ...       ...       ...
+115  A92          F  153045.0  153046.0  153047.0
+115  A93          M  153060.0  153061.0  153062.0
+115  A93          F  153075.0  153076.0  153077.0
+115  A21          M  153090.0  153091.0  153092.0
+115  A21          F  153105.0  153106.0  153107.0""")
         # too many columns
         self.assertEqual(str(self.larray['P01', 'A11', 'M']), """\
-age |   0 |      1 |      2 |      3 |      4 |      5 |      6 |      7 | ... \
-|      107 |      108 |      109 |      110 |      111 |      112 |      113 |\
-      114 |      115
-    | 0.0 | 1320.0 | 2640.0 | 3960.0 | 5280.0 | 6600.0 | 7920.0 | 9240.0 | ... \
-| 141240.0 | 142560.0 | 143880.0 | 145200.0 | 146520.0 | 147840.0 \
-| 149160.0 | 150480.0 | 151800.0""")
+age    0       1       2       3       4       5       6       7        8  ...  \
+     106       107       108       109       110       111       112       113       114       115
+     0.0  1320.0  2640.0  3960.0  5280.0  6600.0  7920.0  9240.0  10560.0  ...  \
+139920.0  141240.0  142560.0  143880.0  145200.0  146520.0  147840.0  149160.0  150480.0  151800.0""")
 
     def test_getitem(self):
         raw = self.array
@@ -3185,9 +3183,9 @@ def test_broadcasting_no_name(self):
 
         d = a * c
         self.assertEqual(d.shape, (2, 3))
-        # {0}*\{1}* | 0 | 1 | 2
-        #         0 | 0 | 0 | 0
-        #         1 | 3 | 4 | 5
+        # {0}*\{1}*  0  1  2
+        #         0  0  0  0
+        #         1  3  4  5
         self.assertTrue(np.array_equal(d, [[0, 0, 0],
                                            [3, 4, 5]]))
 
diff --git a/larray/utils.py b/larray/utils.py
index 447a4face..9cb183da4 100644
--- a/larray/utils.py
+++ b/larray/utils.py
@@ -91,7 +91,7 @@ def get_min_width(table, index):
 
 
 def table2str(table, missing, fullinfo=False, summarize=True,
-              maxwidth=80, numedges='auto', sep=' | ', cont='...', keepcols=0):
+              maxwidth=80, numedges='auto', sep='  ', cont='...', keepcols=0):
     """
     table is a list of lists
     :type table: list of list

From a523a6c80e9f9cec3090a3f438440708c5ab9ff4 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 12 May 2017 10:46:31 +0200
Subject: [PATCH 564/899] added changelog file version_0_23.rst.inc

---
 doc/source/changes/version_0_23.rst.inc | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 doc/source/changes/version_0_23.rst.inc

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file

From 99c9ba78f259e3cdde9540a9a662eb94cc741f85 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 12 May 2017 10:47:22 +0200
Subject: [PATCH 565/899] updated changelog (0.23) --> issue 243 (changed
 display of arrays)

---
 doc/source/changes/version_0_23.rst.inc | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 40d5a3454..b8115286f 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -10,7 +10,21 @@
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* changed display of arrays (closes :issue:`243`):
+
+    >>> ndtest((3, 3))
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+     a2   6   7   8
+
+  instead of
+
+    >>> ndtest((3, 3))
+    a\\b | b0 | b1 | b2
+     a0 |  0 |  1 |  2
+     a1 |  3 |  4 |  5
+     a2 |  6 |  7 |  8
 
 Fixes
 -----

From 2b21bb2e397230e8fb962885af5723356aabf52d Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 16 May 2017 17:03:12 +0200
Subject: [PATCH 566/899] fix #19 : splited core.py in expr.py, group.py,
 axis.py and array.py

fix #25 : splited test_la.py in common.py, test_axis.py, test_group.py and test_array.py

+ reorganized packages:
- core: expr.py, group.py, axis.py, array.py, session.py, ufuncs.py, ipfp.py
- io: excel.py
- util: misc.py, oset.py
- viewer: api.py, model.py, view.py
- tests: common.py, test_array.py, test_axis.py, test_group.py, test_session.py, test_excel.py, test_ipfp.py
---
 larray/__init__.py                         |    8 +-
 larray/core/__init__.py                    |    8 +
 larray/{core.py => core/array.py}          | 4244 ++------------------
 larray/core/axis.py                        | 2209 ++++++++++
 larray/core/expr.py                        |   95 +
 larray/core/group.py                       | 1322 ++++++
 larray/{ => core}/ipfp.py                  |   17 +-
 larray/{ => core}/session.py               |   12 +-
 larray/{ => core}/ufuncs.py                |    2 +-
 larray/io/__init__.py                      |    3 +
 larray/{ => io}/excel.py                   |    4 +-
 larray/tests/common.py                     |   58 +
 larray/tests/{test_la.py => test_array.py} | 1049 +----
 larray/tests/test_axis.py                  |  773 ++++
 larray/tests/test_excel.py                 |    7 +-
 larray/tests/test_group.py                 |  236 ++
 larray/tests/test_ipfp.py                  |   10 +-
 larray/tests/test_session.py               |   10 +-
 larray/util/__init__.py                    |    2 +
 larray/{utils.py => util/misc.py}          |  110 +
 larray/{ => util}/oset.py                  |    2 +-
 setup.cfg                                  |    2 +-
 22 files changed, 5145 insertions(+), 5038 deletions(-)
 create mode 100644 larray/core/__init__.py
 rename larray/{core.py => core/array.py} (68%)
 create mode 100644 larray/core/axis.py
 create mode 100644 larray/core/expr.py
 create mode 100644 larray/core/group.py
 rename larray/{ => core}/ipfp.py (96%)
 rename larray/{ => core}/session.py (98%)
 rename larray/{ => core}/ufuncs.py (99%)
 create mode 100644 larray/io/__init__.py
 rename larray/{ => io}/excel.py (99%)
 create mode 100644 larray/tests/common.py
 rename larray/tests/{test_la.py => test_array.py} (75%)
 create mode 100644 larray/tests/test_axis.py
 create mode 100644 larray/tests/test_group.py
 create mode 100644 larray/util/__init__.py
 rename larray/{utils.py => util/misc.py} (83%)
 rename larray/{ => util}/oset.py (98%)

diff --git a/larray/__init__.py b/larray/__init__.py
index 58f473f41..e3cad5dae 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -1,9 +1,9 @@
 from __future__ import absolute_import, division, print_function
 
 from larray.core import *
-from larray.session import *
-from larray.ufuncs import *
-from larray.excel import open_excel
-from larray.ipfp import ipfp
+from larray.io import *
+from larray.util import *
 from larray.example import load_example_data
 from larray.viewer import *
+
+__version__ = "0.22"
\ No newline at end of file
diff --git a/larray/core/__init__.py b/larray/core/__init__.py
new file mode 100644
index 000000000..20521d924
--- /dev/null
+++ b/larray/core/__init__.py
@@ -0,0 +1,8 @@
+from __future__ import absolute_import, division, print_function
+
+from larray.core.group import *
+from larray.core.axis import *
+from larray.core.array import *
+from larray.core.session import *
+from larray.core.ufuncs import *
+from larray.core.ipfp import ipfp
diff --git a/larray/core.py b/larray/core/array.py
similarity index 68%
rename from larray/core.py
rename to larray/core/array.py
index 7e11ce05e..cf7bfd7a4 100644
--- a/larray/core.py
+++ b/larray/core/array.py
@@ -1,23 +1,15 @@
 # -*- coding: utf8 -*-
 from __future__ import absolute_import, division, print_function
 
-__version__ = "0.22"
-
 __all__ = [
-    'LArray', 'Axis', 'AxisCollection', 'LGroup', 'LSet', 'PGroup',
-    'union', 'stack',
-    'read_csv', 'read_eurostat', 'read_excel', 'read_hdf', 'read_tsv',
-    'read_sas',
-    'x',
-    'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
+    'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest', 'from_lists', 'from_string',
-    'identity', 'diag', 'eye',
-    'larray_equal', 'larray_nan_equal', 'aslarray',
+    'ndtest', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal', 'aslarray',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
-    'ptp', 'var', 'std', 'median', 'percentile',
-    'nan',
-    '__version__'
+    'ptp', 'var', 'std', 'median', 'percentile', 'stack',
+    'read_csv', 'read_tsv', 'read_eurostat', 'read_excel', 'read_hdf', 'read_sas',
+    'from_lists', 'from_string',
+    'nan'
 ]
 
 """
@@ -88,7 +80,6 @@
 from collections import Iterable, Sequence
 from itertools import product, chain, groupby, islice
 import os
-import re
 import sys
 import warnings
 import functools
@@ -98,3669 +89,28 @@
 except ImportError:
     import __builtin__ as builtins
 
-import numpy as np
-import pandas as pd
-
-try:
-    import xlwings as xw
-except ImportError:
-    xw = None
-
-try:
-    from numpy import nanprod as np_nanprod
-except ImportError:
-    np_nanprod = None
-
-from larray.oset import *
-from larray.utils import (table2str, size2str, unique, csv_open, long,
-                          decode, basestring, unicode, bytes, izip, rproduct,
-                          ReprString, duplicates, array_lookup2, strip_rows,
-                          skip_comment_cells, find_closing_chr, StringIO, PY2,
-                          float_error_handler_factory)
-
-
-nan = np.nan
-
-
-def _range_to_slice(seq, length=None):
-    """
-    Returns a slice if possible (including for sequences of 1 element)
-    otherwise returns the input sequence itself
-
-    Parameters
-    ----------
-    seq : sequence-like of int
-        List, tuple or ndarray of integers representing the range.
-        It should be something like [start, start+step, start+2*step, ...]
-    length : int, optional
-        length of sequence of positions.
-        This is only useful when you must be able to transform decreasing
-        sequences which can stop at 0.
-
-    Returns
-    -------
-    slice or sequence-like
-        return the input sequence if a slice cannot be defined
-
-    Examples
-    --------
-    >>> _range_to_slice([3, 4, 5])
-    slice(3, 6, None)
-    >>> _range_to_slice([3, 5, 7])
-    slice(3, 9, 2)
-    >>> _range_to_slice([-3, -2])
-    slice(-3, -1, None)
-    >>> _range_to_slice([-1, -2])
-    slice(-1, -3, -1)
-    >>> _range_to_slice([2, 1])
-    slice(2, 0, -1)
-    >>> _range_to_slice([1, 0], 4)
-    slice(-3, -5, -1)
-    >>> _range_to_slice([1, 0])
-    [1, 0]
-    >>> _range_to_slice([1])
-    slice(1, 2, None)
-    >>> _range_to_slice([])
-    []
-    """
-    if len(seq) < 1:
-        return seq
-    start = seq[0]
-    if len(seq) == 1:
-        return slice(start, start + 1)
-    second = seq[1]
-    step = second - start
-    prev_value = second
-    for value in seq[2:]:
-        if value != prev_value + step:
-            return seq
-        prev_value = value
-    stop = prev_value + step
-    if prev_value == 0 and step < 0:
-        if length is None:
-            return seq
-        else:
-            stop -= length
-            start -= length
-    if step == 1:
-        step = None
-    return slice(start, stop, step)
-
-
-def _slice_to_str(key, repr_func=str):
-    """
-    Converts a slice to a string
-
-    Examples
-    --------
-    >>> _slice_to_str(slice(None))
-    ':'
-    >>> _slice_to_str(slice(24))
-    ':24'
-    >>> _slice_to_str(slice(25, None))
-    '25:'
-    >>> _slice_to_str(slice(5, 10))
-    '5:10'
-    >>> _slice_to_str(slice(None, 5, 2))
-    ':5:2'
-    """
-    # examples of result: ":24" "25:" ":" ":5:2"
-    start = repr_func(key.start) if key.start is not None else ''
-    stop = repr_func(key.stop) if key.stop is not None else ''
-    step = (":" + repr_func(key.step)) if key.step is not None else ''
-    return '%s:%s%s' % (start, stop, step)
-
-
-def irange(start, stop, step=None):
-    """Create a range, with inclusive stop bound and automatic sign for step.
-
-    Parameters
-    ----------
-    start : int
-        Start bound
-    stop : int
-        Inclusive stop bound
-    step : int, optional
-        Distance between two generated numbers. If provided this *must* be a positive integer.
-
-    Returns
-    -------
-    range
-
-    Examples
-    --------
-    >>> list(irange(1, 3))
-    [1, 2, 3]
-    >>> list(irange(2, 0))
-    [2, 1, 0]
-    >>> list(irange(1, 6, 2))
-    [1, 3, 5]
-    >>> list(irange(6, 1, 2))
-    [6, 4, 2]
-    >>> list(irange(-1, 1))
-    [-1, 0, 1]
-    """
-    if step is None:
-        step = 1
-    else:
-        assert step > 0
-    step = step if start <= stop else -step
-    stop = stop + 1 if start <= stop else stop - 1
-    return range(start, stop, step)
-
-
-_range_bound_pattern = re.compile('([0-9]+|[a-zA-Z]+)')
-
-def generalized_range(start, stop, step=1):
-    """Create a range, with inclusive stop bound and automatic sign for step. Bounds can be strings.
-
-    Parameters
-    ----------
-    start : int or str
-        Start bound
-    stop : int or str
-        Inclusive stop bound
-    step : int, optional
-        Distance between two generated numbers. If provided this *must* be a positive integer.
-
-    Returns
-    -------
-    range
-
-    Examples
-    --------
-    works with both number and letter bounds
-
-    >>> list(generalized_range(-1, 2))
-    [-1, 0, 1, 2]
-    >>> generalized_range('a', 'c')
-    ['a', 'b', 'c']
-
-    can generate in reverse
-
-    >>> list(generalized_range(2, 0))
-    [2, 1, 0]
-    >>> generalized_range('c', 'a')
-    ['c', 'b', 'a']
-
-    can combine letters and numbers
-
-    >>> generalized_range('a0', 'c1')
-    ['a0', 'a1', 'b0', 'b1', 'c0', 'c1']
-
-    any special character is left intact
-
-    >>> generalized_range('a_0', 'c_1')
-    ['a_0', 'a_1', 'b_0', 'b_1', 'c_0', 'c_1']
-
-    consecutive digits are treated like numbers
-
-    >>> generalized_range('P01', 'P12')
-    ['P01', 'P02', 'P03', 'P04', 'P05', 'P06', 'P07', 'P08', 'P09', 'P10', 'P11', 'P12']
-
-    consecutive letters create all combinations
-
-    >>> generalized_range('AA', 'CC')
-    ['AA', 'AB', 'AC', 'BA', 'BB', 'BC', 'CA', 'CB', 'CC']
-    """
-    if isinstance(start, str):
-        assert isinstance(stop, str)
-        start_parts = _range_bound_pattern.split(start)
-        stop_parts = _range_bound_pattern.split(stop)
-        assert len(start_parts) == len(stop_parts)
-        ranges = []
-        for start_part, stop_part in zip(start_parts, stop_parts):
-            # we only handle non-negative int-like strings on purpose. Int-only bounds should already be converted to
-            # real integers by now, and mixing negative int-like strings and letters yields some strange results.
-            if start_part.isdigit():
-                assert stop_part.isdigit()
-                numchr = max(len(start_part), len(stop_part))
-                r = ['%0*d' % (numchr, num) for num in irange(int(start_part), int(stop_part))]
-            elif start_part.isalpha():
-                assert stop_part.isalpha()
-                int_start = [ord(c) for c in start_part]
-                int_stop = [ord(c) for c in stop_part]
-                sranges = [[chr(c) for c in irange(r_start, r_stop) if chr(c).isalnum()]
-                           for r_start, r_stop in zip(int_start, int_stop)]
-                r = [''.join(p) for p in product(*sranges)]
-            else:
-                # special characters
-                assert start_part == stop_part
-                r = [start_part]
-            ranges.append(r)
-        res = [''.join(p) for p in product(*ranges)]
-        return res if step == 1 else res[::step]
-    else:
-        return irange(start, stop, step)
-
-
-_range_str_pattern = re.compile('(?P<start>[^\s.]+)?\s*\.\.\s*(?P<stop>[^\s.]+)?(\s+step\s+(?P<step>\d+))?')
-
-
-def _range_str_to_range(s):
-    """
-    Converts a range string to a range (of values).
-    The end point is included.
-
-    Parameters
-    ----------
-    s : str
-        String representing a range of values
-
-    Returns
-    -------
-    range
-        range of int or list of str.
-
-    Examples
-    --------
-    >>> list(_range_str_to_range('-1..2'))
-    [-1, 0, 1, 2]
-    >>> _range_str_to_range('a..c')
-    ['a', 'b', 'c']
-    >>> list(_range_str_to_range('2..6 step 2'))
-    [2, 4, 6]
-
-    any special character except . and spaces should work
-    >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
-    ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
-    """
-    m = _range_str_pattern.match(s)
-
-    groups = m.groupdict()
-    start, stop, step = groups['start'], groups['stop'], groups['step']
-    start = _parse_bound(start) if start is not None else 0
-    if stop is None:
-        raise ValueError("no stop bound provided in range: %r" % s)
-    stop = _parse_bound(stop)
-    step = int(step) if step is not None else 1
-    return generalized_range(start, stop, step)
-
-
-def _to_tick(v):
-    """
-    Converts any value to a tick (ie makes it hashable, and acceptable as an ndarray element)
-
-    scalar -> not modified
-    slice -> 'start:stop'
-    list|tuple -> 'v1,v2,v3'
-    Group with name -> v.name
-    Group without name -> _to_tick(v.key)
-    other -> str(v)
-
-    Parameters
-    ----------
-    v : any
-        value to be converted.
-
-    Returns
-    -------
-    any scalar
-        scalar representing the tick
-    """
-    # the fact that an "aggregated tick" is passed as a LGroup or as a
-    # string should be as irrelevant as possible. The thing is that we cannot
-    # (currently) use the more elegant _to_tick(e.key) that means the
-    # LGroup is not available in Axis.__init__ after to_ticks, and we
-    # need it to update the mapping if it was named. Effectively,
-    # this creates two entries in the mapping for a single tick. Besides,
-    # I like having the LGroup as the tick, as it provides extra info as
-    # to where it comes from.
-    if np.isscalar(v):
-        return v
-    elif isinstance(v, Group):
-        return v.name if v.name is not None else _to_tick(v.to_label())
-    elif isinstance(v, slice):
-        return _slice_to_str(v)
-    elif isinstance(v, (tuple, list)):
-        if len(v) == 1:
-            return str(v) + ','
-        else:
-            # TODO: it would be nicer/saner to use n=1, sep='' but this currently breaks at lot of tests
-            return _seq_summary(v, n=1000, repr_func=str, sep=',')
-    else:
-        return str(v)
-
-
-def _to_ticks(s):
-    """
-    Makes a (list of) value(s) usable as the collection of labels for an
-    Axis (ie hashable). Strip strings, split them on ',' and translate
-    "range strings" to list of values **including the end point** !
-
-    Parameters
-    ----------
-    s : iterable
-        List of values usable as the collection of labels for an Axis.
-
-    Returns
-    -------
-    collection of labels
-
-    Notes
-    -----
-    This function is only used in Axis.__init__ and union().
-
-    Examples
-    --------
-    >>> _to_ticks('M , F')
-    ['M', 'F']
-
-    >>> list(_to_ticks('..3'))
-    [0, 1, 2, 3]
-    """
-    if isinstance(s, Group):
-        # a single LGroup used for all ticks of an Axis
-        return _to_ticks(s.eval())
-    elif isinstance(s, pd.Index):
-        return s.values
-    elif isinstance(s, np.ndarray):
-        # we assume it has already been translated
-        # XXX: Is it a safe assumption?
-        return s
-    elif isinstance(s, (list, tuple)):
-        return [_to_tick(e) for e in s]
-    elif sys.version >= '3' and isinstance(s, range):
-        return list(s)
-    elif isinstance(s, basestring):
-        if ':' in s:
-            raise ValueError("using : to define axes is deprecated, please use .. instead")
-        elif '..' in s:
-            return _range_str_to_range(s)
-        else:
-            return [v.strip() for v in s.split(',')]
-    elif hasattr(s, '__array__'):
-        return s.__array__()
-    else:
-        try:
-            return list(s)
-        except TypeError:
-            raise TypeError("ticks must be iterable (%s is not)" % type(s))
-
-
-def _isintstring(s):
-    return s.isdigit() or (len(s) > 1 and s[0] == '-' and s[1:].isdigit())
-
-
-def _parse_bound(s, stack_depth=1, parse_int=True):
-    """Parse a string representing a single value, converting int-like
-    strings to integers and evaluating expressions within {}.
-
-    Parameters
-    ----------
-    s : str
-        string to evaluate
-    stack_depth : int
-        how deep to go in the stack to get local variables for evaluating
-        {expressions}.
-
-    Returns
-    -------
-    any
-
-    Examples
-    --------
-
-    >>> _parse_bound(' a ')
-    'a'
-    >>> # returns None
-    >>> _parse_bound(' ')
-    >>> ext = 1
-    >>> _parse_bound(' {ext + 1} ')
-    2
-    >>> _parse_bound('42')
-    42
-    """
-    s = s.strip()
-    if s == '':
-        return None
-    elif s[0] == '{':
-        expr = s[1:find_closing_chr(s)]
-        return eval(expr, sys._getframe(stack_depth).f_locals)
-    elif parse_int and _isintstring(s):
-        return int(s)
-    else:
-        return s
-
-
-_axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
-
-
-def _to_key(v, stack_depth=1, parse_single_int=False):
-    """
-    Converts a value to a key usable for indexing (slice object, list of values,...).
-    Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
-
-    Parameters
-    ----------
-    v : int or basestring or tuple or list or slice or LArray or Group
-        value to convert into a key usable for indexing
-
-    Returns
-    -------
-    key
-        a key represents any object that can be used for indexing
-
-    Examples
-    --------
-    >>> _to_key('a:c')
-    slice('a', 'c', None)
-    >>> _to_key('a, b,c ,')
-    ['a', 'b', 'c']
-    >>> _to_key('a,')
-    ['a']
-    >>> _to_key(' a ')
-    'a'
-    >>> _to_key(10)
-    10
-    >>> _to_key('10')
-    '10'
-    >>> _to_key('10:20')
-    slice(10, 20, None)
-    >>> _to_key(slice('10', '20'))
-    slice('10', '20', None)
-    >>> _to_key('year.i[-1]')
-    year.i[-1]
-    >>> _to_key('age[10:19]>>teens')
-    age[10:19] >> 'teens'
-    >>> _to_key('a,b,c >> abc')
-    LGroup(['a', 'b', 'c']) >> 'abc'
-    >>> _to_key('a:c >> abc')
-    LGroup(slice('a', 'c', None)) >> 'abc'
-
-    # evaluated variables do not work on Python 2, probably because the stackdepth is different
-    # >>> ext = [1, 2, 3]
-    # >>> _to_key('{ext} >> ext')
-    # LGroup([1, 2, 3], name='ext')
-    # >>> answer = 42
-    # >>> _to_key('{answer}')
-    # 42
-    # >>> _to_key('{answer} >> answer')
-    # LGroup(42, name='answer')
-    # >>> _to_key('10:{answer} >> answer')
-    # LGroup(slice(10, 42, None), name='answer')
-    # >>> _to_key('4,{answer},2 >> answer')
-    # LGroup([4, 42, 2], name='answer')
-    """
-    if isinstance(v, tuple):
-        return list(v)
-    elif isinstance(v, basestring):
-        # axis name
-        m = _axis_name_pattern.match(v)
-        _, axis, positional, key = m.groups()
-        # group name. using rfind in the unlikely case there is another >>
-        name_pos = key.rfind('>>')
-        name = None
-        if name_pos != -1:
-            key, name = key[:name_pos].strip(), key[name_pos + 2:].strip()
-        if axis is not None:
-            axis = axis.strip()
-            axis_bracket_open = m.end(1) - 1
-            # check that the string parentheses are correctly balanced
-            _ = find_closing_chr(v, axis_bracket_open)
-            # strip closing bracket (it should be at the end because we took
-            # care of the name earlier)
-            assert key[-1] == ']'
-            key = key[:-1]
-        cls = PGroup if positional else LGroup
-        if name is not None or axis is not None:
-            key = _to_key(key, stack_depth + 1, parse_single_int=positional)
-            return cls(key, name=name, axis=axis)
-        else:
-            numcolons = v.count(':')
-            if numcolons:
-                assert numcolons <= 2
-                # bounds can be of len 2 or 3 (if step is provided)
-                # stack_depth + 2 because the list comp has its own stack
-                bounds = [_parse_bound(b, stack_depth + 2)
-                          for b in v.split(':')]
-                return slice(*bounds)
-            else:
-                if ',' in v:
-                    # strip extremity commas to avoid empty string keys
-                    v = v.strip(',')
-                    # stack_depth + 2 because the list comp has its own stack
-                    return [_parse_bound(b, stack_depth + 2)
-                            for b in v.split(',')]
-                else:
-                    return _parse_bound(v, stack_depth + 1, parse_int=parse_single_int)
-    elif v is Ellipsis or np.isscalar(v) or isinstance(v, (Group, slice, list, np.ndarray, LArray, OrderedSet)):
-        return v
-    else:
-        raise TypeError("%s has an invalid type (%s) for a key"
-                        % (v, type(v).__name__))
-
-
-def to_keys(value, stack_depth=1):
-    """
-    Converts a (collection of) group(s) to a structure usable for indexing.
-    'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
-
-    Parameters
-    ----------
-    value : int or basestring or tuple or list or slice or LArray or Group
-        (collection of) value(s) to convert into key(s) usable for indexing
-
-    Returns
-    -------
-    list of keys
-
-    Examples
-    --------
-    It is only used for .sum(axis=xxx)
-    >>> to_keys('P01,P02')  # <-- one group => collapse dimension
-    ['P01', 'P02']
-    >>> to_keys(('P01,P02',))  # <-- do not collapse dimension
-    (['P01', 'P02'],)
-    >>> to_keys('P01;P02,P03;:')
-    ('P01', ['P02', 'P03'], slice(None, None, None))
-
-    # evaluated variables do not work on Python 2, probably because the stack depth is different
-    # >>> ext = 'P03'
-    # >>> to_keys('P01,P02,{ext}')
-    # ['P01', 'P02', 'P03']
-    # >>> to_keys('P01;P02;{ext}')
-    # ('P01', 'P02', 'P03')
-
-    >>> to_keys('age[10:19] >> teens ; year.i[-1]')
-    (age[10:19] >> 'teens', year.i[-1])
-
-    # >>> to_keys('P01,P02,:') # <-- INVALID !
-    # it should have an explicit failure
-
-    # we allow this, even though it is a dubious syntax
-    >>> to_keys(('P01', 'P02', ':'))
-    ('P01', 'P02', slice(None, None, None))
-
-    # it is better to use explicit groups
-    >>> to_keys(('P01,', 'P02,', ':'))
-    (['P01'], ['P02'], slice(None, None, None))
-
-    # or even the ugly duck...
-    >>> to_keys((('P01',), ('P02',), ':'))
-    (['P01'], ['P02'], slice(None, None, None))
-    """
-    if isinstance(value, basestring) and ';' in value:
-        value = tuple(value.split(';'))
-
-    if isinstance(value, tuple):
-        # stack_depth + 2 because the list comp has its own stack
-        return tuple([_to_key(group, stack_depth + 2) for group in value])
-    else:
-        return _to_key(value, stack_depth + 1)
-
-
-def union(*args):
-    # TODO: add support for LGroup and lists
-    """
-    Returns the union of several "value strings" as a list.
-
-    Parameters
-    ----------
-    *args
-        (collection of) value(s) to be converted into label(s).
-        Repeated values are taken only once.
-
-    Returns
-    -------
-    list of labels
-
-    Examples
-    --------
-    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], '..2')
-    ['a', 'b', 'c', 'd', 'e', 'f', 0, 1, 2]
-    """
-    if args:
-        return list(unique(chain(*(_to_ticks(arg) for arg in args))))
-    else:
-        return []
-
-
-def larray_equal(a1, a2):
-    """
-    Compares two arrays and returns True if they have the same axes and elements (and do not contain nan values,
-    see note below), False otherwise.
-
-    Parameters
-    ----------
-    a1, a2 : LArray-like
-        Input arrays. aslarray() is used on non-LArray inputs.
-
-    Returns
-    -------
-    bool
-        Returns True if the arrays are equal (and do not contain nan values).
-
-    Note
-    ----
-
-    An array containing nan values is never equal to another array, even if that other array also contains nan values at
-    the same positions. The reason is that a nan value is different from *anything*, including itself. One might want
-    to use larray_nan_equal to avoid this behavior.
-
-    See Also
-    --------
-    larray_nan_equal
-
-    Examples
-    --------
-    >>> arr1 = ndtest((2, 3))
-    >>> arr1
-    a\\b  b0  b1  b2
-     a0   0   1   2
-     a1   3   4   5
-    >>> arr2 = arr1.copy()
-    >>> larray_equal(arr1, arr2)
-    True
-    >>> arr2['b1'] += 1
-    >>> larray_equal(arr1, arr2)
-    False
-    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
-    >>> larray_equal(arr1, arr3)
-    False
-    """
-    try:
-        a1, a2 = aslarray(a1), aslarray(a2)
-    except Exception:
-        return False
-    return (a1.axes == a2.axes and
-            np.array_equal(np.asarray(a1), np.asarray(a2)))
-
-
-def larray_nan_equal(a1, a2):
-    """
-    Compares two arrays and returns True if they have the same axes and elements, False otherwise.
-
-    Parameters
-    ----------
-    a1, a2 : LArray-like
-        Input arrays. aslarray() is used on non-LArray inputs.
-
-    Returns
-    -------
-    bool
-        Returns True if the arrays are equal, even in the presence of nan values (if they are at the same positions).
-
-    See Also
-    --------
-    larray_equal
-
-    Examples
-    --------
-    >>> arr1 = ndtest((2, 3), dtype=float)
-    >>> arr1['a1', 'b1'] = nan
-    >>> arr1
-    a\\b   b0   b1   b2
-     a0  0.0  1.0  2.0
-     a1  3.0  nan  5.0
-    >>> arr2 = arr1.copy()
-    >>> larray_equal(arr1, arr2)
-    False
-    >>> larray_nan_equal(arr1, arr2)
-    True
-    >>> arr2['b1'] = 0.0
-    >>> larray_nan_equal(arr1, arr2)
-    False
-    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
-    >>> larray_nan_equal(arr1, arr3)
-    False
-    >>> larray_nan_equal([0], [0])
-    True
-    """
-    def isnan(a):
-        assert isinstance(a, np.ndarray)
-        return np.isnan(a) if np.issubclass_(a.dtype.type, np.inexact) else False
-
-    try:
-        a1, a2 = aslarray(a1), aslarray(a2)
-    except Exception:
-        return False
-    npa1, npa2 = np.asarray(a1), np.asarray(a2)
-    return a1.axes == a2.axes and np.all((npa1 == npa2) | (isnan(npa1) & isnan(npa2)))
-
-
-def _isnoneslice(v):
-    """
-    Checks if input is slice(None) object.
-    """
-    return isinstance(v, slice) and v.start is None and v.stop is None and v.step is None
-
-
-def _seq_summary(seq, n=3, repr_func=repr, sep=' '):
-    """
-    Returns a string representing a sequence by showing only the n first and last elements.
-
-    Examples
-    --------
-    >>> _seq_summary(range(10), 2)
-    '0 1 ... 8 9'
-    """
-    if len(seq) <= 2 * n:
-        short_seq = [repr_func(v) for v in seq]
-    else:
-        short_seq = [repr_func(v) for v in seq[:n]] + ['...'] + [repr_func(v) for v in seq[-n:]]
-    return sep.join(short_seq)
-
-
-class PGroupMaker(object):
-    """
-    Generates a new instance of PGroup for a given axis and key.
-
-    Attributes
-    ----------
-    axis : Axis
-        an axis.
-
-    Notes
-    -----
-    This class is used by the method `Axis.i`
-    """
-    def __init__(self, axis):
-        assert isinstance(axis, Axis)
-        self.axis = axis
-
-    def __getitem__(self, key):
-        return PGroup(key, None, self.axis)
-
-
-def _is_object_array(array):
-    return isinstance(array, np.ndarray) and array.dtype.type == np.object_
-
-
-def _can_have_groups(seq):
-    return _is_object_array(seq) or isinstance(seq, (tuple, list))
-
-
-def _contain_group_ticks(ticks):
-    return _can_have_groups(ticks) and any(isinstance(tick, Group) for tick in ticks)
-
-
-def _seq_group_to_name(seq):
-    if _can_have_groups(seq):
-        return [v.name if isinstance(v, Group) else v for v in seq]
-    else:
-        return seq
-
-
-class Axis(object):
-    """
-    Represents an axis. It consists of a name and a list of labels.
-
-    Parameters
-    ----------
-    labels : array-like or int
-        collection of values usable as labels, i.e. numbers or strings or the size of the axis.
-        In the last case, a wildcard axis is created.
-    name : str or Axis, optional
-        name of the axis or another instance of Axis.
-        In the second case, the name of the other axis is simply copied.
-        By default None.
-
-    Attributes
-    ----------
-    labels : array-like or int
-        collection of values usable as labels, i.e. numbers or strings
-    name : str
-        name of the axis. None in the case of an anonymous axis.
-
-    Examples
-    --------
-    >>> age = Axis(10, 'age')
-    >>> age
-    Axis(10, 'age')
-    >>> age.name
-    'age'
-    >>> age.labels
-    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
-    >>> gender = Axis('gender=M,F')
-    >>> gender
-    Axis(['M', 'F'], 'gender')
-    >>> anonymous = Axis('0..4')
-    >>> anonymous
-    Axis([0, 1, 2, 3, 4], None)
-    """
-    # ticks instead of labels?
-    # XXX: make name and labels optional?
-    def __init__(self, labels, name=None):
-        if isinstance(name, Axis):
-            name = name.name
-        if isinstance(labels, basestring):
-            if '=' in labels:
-                name, labels = [o.strip() for o in labels.split('=')]
-            elif '..' not in labels and ',' not in labels:
-                warnings.warn("Arguments 'name' and 'labels' of Axis constructor have been inverted in "
-                              "version 0.22 of larray. Please check you are passing labels first and name "
-                              "as second argument.", stacklevel=2)
-                name, labels = labels, name
-
-        # make sure we do not have np.str_ as it causes problems down the
-        # line with xlwings. Cannot use isinstance to check that though.
-        is_python_str = type(name) is unicode or type(name) is bytes
-        assert name is None or isinstance(name, int) or is_python_str, \
-            type(name)
-        self.name = name
-        self._labels = None
-        self.__mapping = None
-        self.__sorted_keys = None
-        self.__sorted_values = None
-        self._length = None
-        self._iswildcard = False
-        self.labels = labels
-
-    @property
-    def _mapping(self):
-        # To map labels with their positions
-        mapping = self.__mapping
-        if mapping is None:
-            labels = self._labels
-            # TODO: this would be more efficient for wildcard axes but
-            # does not work in all cases
-            # mapping = labels
-            mapping = {label: i for i, label in enumerate(labels)}
-            if not self._iswildcard:
-                # we have no choice but to do that!
-                # otherwise we could not make geo['Brussels'] work efficiently
-                # (we could have to traverse the whole mapping checking for each
-                # name, which is not an option)
-                # TODO: only do this if labels.dtype is object, or add
-                # "contains_lgroup" flag in above code (if any(...))
-                # 0.179
-                mapping.update({label.name: i for i, label in enumerate(labels)
-                                if isinstance(label, Group)})
-            self.__mapping = mapping
-        return mapping
-
-    def _update_key_values(self):
-        mapping = self._mapping
-        if mapping:
-            sorted_keys, sorted_values = tuple(zip(*sorted(mapping.items())))
-        else:
-            sorted_keys, sorted_values = (), ()
-        keys, values = np.array(sorted_keys), np.array(sorted_values)
-        self.__sorted_keys = keys
-        self.__sorted_values = values
-        return keys, values
-
-    @property
-    def _sorted_keys(self):
-        if self.__sorted_keys is None:
-            keys, _ = self._update_key_values()
-        return self.__sorted_keys
-
-    @property
-    def _sorted_values(self):
-        values = self.__sorted_values
-        if values is None:
-            _, values = self._update_key_values()
-        return values
-
-    @property
-    def i(self):
-        """
-        Allows to define a subset using positions along the axis
-        instead of labels.
-
-        Examples
-        --------
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> arr = ndrange([sex, time])
-        >>> arr
-        sex\\time  2007  2008  2009  2010
-               M     0     1     2     3
-               F     4     5     6     7
-        >>> arr[time.i[0, -1]]
-        sex\\time  2007  2010
-               M     0     3
-               F     4     7
-        """
-        return PGroupMaker(self)
-
-    @property
-    def labels(self):
-        """
-        List of labels.
-        """
-        return self._labels
-
-    @labels.setter
-    def labels(self, labels):
-        if labels is None:
-            raise TypeError("labels should be a sequence or a single int")
-        if isinstance(labels, (int, long)):
-            length = labels
-            labels = np.arange(length)
-            iswildcard = True
-        else:
-            # TODO: move this to _to_ticks????
-            # we convert to an ndarray to save memory for scalar ticks (for
-            # LGroup ticks, it does not make a difference since a list of VG
-            # and an ndarray of VG are both arrays of pointers)
-            ticks = _to_ticks(labels)
-            if _contain_group_ticks(ticks):
-                # avoid getting a 2d array if all LGroup have the same length
-                labels = np.empty(len(ticks), dtype=object)
-                # this does not work if some values have a length (with a valid __len__) and others not
-                # labels[:] = ticks
-                for i, tick in enumerate(ticks):
-                    labels[i] = tick
-            else:
-                labels = np.asarray(ticks)
-            length = len(labels)
-            iswildcard = False
-
-        self._length = length
-        self._labels = labels
-        self._iswildcard = iswildcard
-
-    def by(self, length, step=None):
-        """Split axis into several groups of specified length.
-
-        Parameters
-        ----------
-        length : int
-            length of groups
-        step : int, optional
-            step between groups. Defaults to length.
-
-        Notes
-        -----
-        step can be smaller than length, in which case, this will produce overlapping groups.
-
-        Returns
-        -------
-        list of Group
-
-        Examples
-        --------
-        >>> age = Axis(range(10), 'age')
-        >>> age.by(3)
-        (age.i[0:3], age.i[3:6], age.i[6:9], age.i[9:10])
-        >>> age.by(3, 4)
-        (age.i[0:3], age.i[4:7], age.i[8:10])
-        >>> age.by(5, 3)
-        (age.i[0:5], age.i[3:8], age.i[6:10], age.i[9:10])
-        """
-        return self[:].by(length, step)
-
-    def extend(self, labels):
-        """
-        Append new labels to an axis or increase its length
-        in case of wildcard axis.
-        Note that `extend` does not occur in-place: a new axis
-        object is allocated, filled and returned.
-
-        Parameters
-        ----------
-        labels : int, iterable or Axis
-            New labels to append to the axis.
-            Passing directly another Axis is also possible.
-            If the current axis is a wildcard axis, passing a length is enough.
-
-        Returns
-        -------
-        Axis
-            A copy of the axis with new labels appended to it or
-            with increased length (if wildcard).
-
-        Examples
-        --------
-        >>> time = Axis([2007, 2008], 'time')
-        >>> time
-        Axis([2007, 2008], 'time')
-        >>> time.extend([2009, 2010])
-        Axis([2007, 2008, 2009, 2010], 'time')
-        >>> waxis = Axis(10, 'wildcard_axis')
-        >>> waxis
-        Axis(10, 'wildcard_axis')
-        >>> waxis.extend(5)
-        Axis(15, 'wildcard_axis')
-        >>> waxis.extend([11, 12, 13, 14])
-        Traceback (most recent call last):
-        ...
-        ValueError: Axis to append must (not) be wildcard if self is (not) wildcard
-        """
-        other = labels if isinstance(labels, Axis) else Axis(labels)
-        if self.iswildcard != other.iswildcard:
-            raise ValueError ("Axis to append must (not) be wildcard if self is (not) wildcard")
-        labels = self._length + other._length if self.iswildcard else np.append(self.labels, other.labels)
-        return Axis(labels, self.name)
-
-    @property
-    def iswildcard(self):
-        return self._iswildcard
-
-    def _group(self, *args, **kwargs):
-        """
-        Deprecated.
-
-        Parameters
-        ----------
-        *args
-            (collection of) selected label(s) to form a group.
-        **kwargs
-            name of the group. There is no other accepted keywords.
-
-        Examples
-        --------
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> odd_years = time._group([2007, 2009], name='odd_years')
-        >>> odd_years
-        time[2007, 2009] >> 'odd_years'
-        """
-        name = kwargs.pop('name', None)
-        if kwargs:
-            raise ValueError("invalid keyword argument(s): %s" % list(kwargs.keys()))
-        key = args[0] if len(args) == 1 else args
-        return self[key] >> name if name else self[key]
-
-    def group(self,  *args, **kwargs):
-        group_name = kwargs.pop('name', None)
-        key = args[0] if len(args) == 1 else args
-        syntax = '{}[{}]'.format(self.name if self.name else 'axis', key)
-        if group_name is not None:
-            syntax += ' >> {}'.format(repr(group_name))
-        raise NotImplementedError('Axis.group is deprecated. Use {} instead.'.format(syntax))
-
-    def all(self, name=None):
-        """
-        (Deprecated) Returns a group containing all labels.
-
-        Parameters
-        ----------
-        name : str, optional
-            Name of the group. If not provided, name is set to 'all'.
-        """
-        axis_name = self.name if self.name else 'axis'
-        group_name = name if name else 'all'
-        raise NotImplementedError('Axis.all is deprecated. '
-                                  'Use {}[:] >> {} instead.'.format(axis_name, repr(group_name)))
-
-    def subaxis(self, key, name=None):
-        """
-        Returns an axis for a sub-array.
-
-        Parameters
-        ----------
-        key : int, or collection (list, slice, array, LArray) of them
-            Position(s) of labels to use for the new axis.
-        name : str, optional
-            Name of the subaxis. Defaults to the name of the parent axis.
-
-        Returns
-        -------
-        Axis
-            Subaxis.
-            If key is a None slice and name is None, the original Axis is returned.
-            If key is a LArray, the list of axes is returned.
-
-        Examples
-        --------
-        >>> age = Axis(range(100), 'age')
-        >>> age.subaxis(range(10, 19), 'teenagers')
-        Axis([10, 11, 12, 13, 14, 15, 16, 17, 18], 'teenagers')
-        """
-        if (name is None and isinstance(key, slice) and
-                key.start is None and key.stop is None and key.step is None):
-            return self
-        # we must NOT modify the axis name, even though this creates a new axis
-        # that is independent from the original one because the original
-        # name is probably what users will want to use to filter
-        if name is None:
-            name = self.name
-        if isinstance(key, LArray):
-            return tuple(key.axes)
-        # TODO: compute length for wildcard axes more efficiently
-        labels = len(self.labels[key]) if self.iswildcard else self.labels[key]
-        return Axis(labels, name)
-
-    def iscompatible(self, other):
-        """
-        Checks if self is compatible with another axis.
-
-        * Two non-wildcard axes are compatible if they have the same name and labels.
-        * A wildcard axis of length 1 is compatible with any other axis sharing the same name.
-        * A wildcard axis of length > 1 is compatible with any axis of the same length or length 1 and sharing the
-          same name.
-
-        Parameters
-        ----------
-        other : Axis
-            Axis to compare with.
-
-        Returns
-        -------
-        bool
-            True if input axis is compatible with self, False otherwise.
-
-        Examples
-        --------
-        >>> a10  = Axis(range(10), 'a')
-        >>> wa10 = Axis(10, 'a')
-        >>> wa1  = Axis(1, 'a')
-        >>> b10  = Axis(range(10), 'b')
-        >>> a10.iscompatible(b10)
-        False
-        >>> a10.iscompatible(wa10)
-        True
-        >>> a10.iscompatible(wa1)
-        True
-        >>> wa1.iscompatible(b10)
-        False
-        """
-        if self is other:
-            return True
-        if not isinstance(other, Axis):
-            return False
-        if self.name is not None and other.name is not None and self.name != other.name:
-            return False
-        if self.iswildcard or other.iswildcard:
-            # wildcard axes of length 1 match with anything
-            # wildcard axes of length > 1 match with equal len or len 1
-            return len(self) == 1 or len(other) == 1 or len(self) == len(other)
-        else:
-            return np.array_equal(self.labels, other.labels)
-
-    def equals(self, other):
-        """
-        Checks if self is equal to another axis.
-        Two axes are equal if the have the same name and label(s).
-
-        Parameters
-        ----------
-        other : Axis
-            Axis to compare with.
-
-        Returns
-        -------
-        bool
-            True if input axis is equal to self, False otherwise.
-
-        Examples
-        --------
-        >>> age = Axis(range(5), 'age')
-        >>> age_2 = Axis(5, 'age')
-        >>> age_3 = Axis(range(5), 'young children')
-        >>> age_4 = Axis([0, 1, 2, 3, 4], 'age')
-        >>> age.equals(age_2)
-        False
-        >>> age.equals(age_3)
-        False
-        >>> age.equals(age_4)
-        True
-        """
-        if self is other:
-            return True
-
-        # this might need to change if we ever support wildcard axes with
-        # real labels
-        return isinstance(other, Axis) and self.name == other.name and \
-               self.iswildcard == other.iswildcard and \
-               (len(self) == len(other) if self.iswildcard else
-                    np.array_equal(self.labels, other.labels))
-
-    def matches(self, pattern):
-        """
-        Returns a group with all the labels matching the specified pattern (regular expression).
-
-        Parameters
-        ----------
-        pattern : str or Group
-            Regular expression (regex).
-
-        Returns
-        -------
-        LGroup
-            Group containing all the labels matching the pattern.
-
-        Notes
-        -----
-        See `Regular Expression <https://docs.python.org/3/library/re.html>`_
-        for more details about how to build a pattern.
-
-        Examples
-        --------
-        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-
-        All labels starting with "W" and ending with "o" are given by
-
-        >>> people.matches('W.*o')
-        people['Waldo']
-
-        All labels not containing character "a"
-
-        >>> people.matches('[^a]*$')
-        people['Bruce Willis', 'Arthur Dent']
-        """
-        if isinstance(pattern, Group):
-            pattern = pattern.eval()
-        rx = re.compile(pattern)
-        return LGroup([v for v in self.labels if rx.match(v)], axis=self)
-
-    def startswith(self, prefix):
-        """
-        Returns a group with the labels starting with the specified string.
-
-        Parameters
-        ----------
-        prefix : str or Group
-            The prefix to search for.
-
-        Returns
-        -------
-        LGroup
-            Group containing all the labels starting with the given string.
-
-        Examples
-        --------
-        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.startswith('Bru')
-        people['Bruce Wayne', 'Bruce Willis']
-        """
-        if isinstance(prefix, Group):
-            prefix = prefix.eval()
-        return LGroup([v for v in self.labels if v.startswith(prefix)], axis=self)
-
-    def endswith(self, suffix):
-        """
-        Returns a LGroup with the labels ending with the specified string
-
-        Parameters
-        ----------
-        suffix : str or Group
-            The suffix to search for.
-
-        Returns
-        -------
-        LGroup
-            Group containing all the labels ending with the given string.
-
-        Examples
-        --------
-        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.endswith('Dent')
-        people['Arthur Dent', 'Harvey Dent']
-        """
-        if isinstance(suffix, Group):
-            suffix = suffix.eval()
-        return LGroup([v for v in self.labels if v.endswith(suffix)], axis=self)
-
-    def __len__(self):
-        return self._length
-
-    def __iter__(self):
-        return iter([self.i[i] for i in range(self._length)])
-
-    def __getitem__(self, key):
-        """
-        Returns a group (list or unique element) of label(s) usable in .sum or .filter
-
-        key is a label-based key (slice and fancy indexing are supported)
-
-        Returns
-        -------
-        Group
-            group containing selected label(s)/position(s).
-
-        Notes
-        -----
-        key is label-based (slice and fancy indexing are supported)
-        """
-        # if isinstance(key, basestring):
-        #     key = to_keys(key)
-
-        def isscalar(k):
-            return np.isscalar(k) or (isinstance(k, Group) and np.isscalar(k.key))
-
-        # the not all(np.isscalar) part is necessary to support axis[a, b, c] and axis[[a, b, c]]
-        if isinstance(key, (tuple, list)) and not all(isscalar(k) for k in key):
-            # this creates a group for each key if it wasn't and retargets PGroup
-            list_res = [self[k] for k in key]
-            return list_res if isinstance(key, list) else tuple(list_res)
-
-        name = key.name if isinstance(key, Group) else None
-        return LGroup(key, name, self)
-
-    def __contains__(self, key):
-        return _to_tick(key) in self._mapping
-
-    def __hash__(self):
-        return id(self)
-
-    def _is_key_type_compatible(self, key):
-        key_kind = np.dtype(type(key)).kind
-        label_kind = self.labels.dtype.kind
-        # on Python2, ascii-only unicode string can match byte strings (and
-        # vice versa), so we shouldn't be more picky here than dict hashing
-        str_key = key_kind in ('S', 'U')
-        str_label = label_kind in ('S', 'U')
-        py2_str_match = PY2 and str_key and str_label
-        # object kind can match anything
-        return key_kind == label_kind or \
-               key_kind == 'O' or label_kind == 'O' or \
-               py2_str_match
-
-    def translate(self, key, bool_passthrough=True):
-        """
-        Translates a label key to its numerical index counterpart.
-
-        Parameters
-        ----------
-        key : key
-            Everything usable as a key.
-        bool_passthrough : bool, optional
-            If set to True and key is a boolean vector, it is returned as it.
-
-        Returns
-        -------
-        (array of) int
-            Numerical index(ices) of (all) label(s) represented by the key
-
-        Notes
-        -----
-        Fancy index with boolean vectors are passed through unmodified
-
-        Examples
-        --------
-        >>> people = Axis(['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.translate('Waldo')
-        3
-        >>> people.translate(people.matches('Bruce'))
-        array([1, 2])
-        """
-
-        mapping = self._mapping
-
-        if isinstance(key, Group) and key.axis is not self and key.axis is not None:
-            try:
-                # XXX: this is potentially very expensive if key.key is an array or list and should be tried as a last
-                # resort
-                potential_tick = _to_tick(key)
-                # avoid matching 0 against False or 0.0, note that None has object dtype and so always pass this test
-                if self._is_key_type_compatible(potential_tick):
-                    return mapping[potential_tick]
-            # we must catch TypeError because key might not be hashable (eg slice)
-            # IndexError is for when mapping is an ndarray
-            except (KeyError, TypeError, IndexError):
-                pass
-
-        if isinstance(key, basestring):
-            # try the key as-is to allow getting at ticks with special characters (",", ":", ...)
-            try:
-                # avoid matching 0 against False or 0.0, note that Group keys have object dtype and so always pass this test
-                if self._is_key_type_compatible(key):
-                    return mapping[key]
-            # we must catch TypeError because key might not be hashable (eg slice)
-            # IndexError is for when mapping is an ndarray
-            except (KeyError, TypeError, IndexError):
-                pass
-
-            # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
-            key = _to_key(key)
-
-        if isinstance(key, PGroup):
-            assert key.axis is self
-            return key.key
-
-        if isinstance(key, LGroup):
-            # at this point we do not care about the axis nor the name
-            key = key.key
-
-        if isinstance(key, slice):
-            start = mapping[key.start] if key.start is not None else None
-            # stop is inclusive in the input key and exclusive in the output !
-            stop = mapping[key.stop] + 1 if key.stop is not None else None
-            return slice(start, stop, key.step)
-        # XXX: bool LArray do not pass through???
-        elif isinstance(key, np.ndarray) and key.dtype.kind is 'b' and \
-                bool_passthrough:
-            return key
-        elif isinstance(key, (tuple, list, OrderedSet)):
-            # TODO: the result should be cached
-            # Note that this is faster than array_lookup(np.array(key), mapping)
-            res = np.empty(len(key), int)
-            try:
-                for i, label in enumerate(_seq_group_to_name(key)):
-                    res[i] = mapping[label]
-            except KeyError:
-                for i, label in enumerate(key):
-                    res[i] = mapping[label]
-            return res
-        elif isinstance(key, np.ndarray):
-            # handle fancy indexing with a ndarray of labels
-            # TODO: the result should be cached
-            # TODO: benchmark this against the tuple/list version above when
-            # mapping is large
-            # array_lookup is O(len(key) * log(len(mapping)))
-            # vs
-            # tuple/list version is O(len(key)) (dict.getitem is O(1))
-            # XXX: we might want to special case dtype bool, because in that
-            # case the mapping will in most case be {False: 0, True: 1} or
-            # {False: 1, True: 0} and in those case key.astype(int) and
-            # (~key).astype(int) are MUCH faster
-            # see C:\Users\gdm\devel\lookup_methods.py and
-            #     C:\Users\gdm\Desktop\lookup_methods.html
-            try:
-                return array_lookup2(_seq_group_to_name(key), self._sorted_keys, self._sorted_values)
-            except KeyError:
-                return array_lookup2(key, self._sorted_keys, self._sorted_values)
-        elif isinstance(key, LArray):
-            return LArray(self.translate(key.data), key.axes)
-        else:
-            # the first mapping[key] above will cover most cases. This code
-            # path is only used if the key was given in "non normalized form"
-            assert np.isscalar(key), "%s (%s) is not scalar" % (key, type(key))
-            # key is scalar (integer, float, string, ...)
-            if np.dtype(type(key)).kind == self.labels.dtype.kind:
-                return mapping[key]
-            else:
-                # print("diff dtype", )
-                raise KeyError(key)
-
-    # FIXME: remove id
-    @property
-    def id(self):
-        if self.name is not None:
-            return self.name
-        else:
-            raise ValueError('Axis has no name, so no id')
-
-    def __str__(self):
-        name = str(self.name) if self.name is not None else '{?}'
-        return (name + '*') if self.iswildcard else name
-
-    def __repr__(self):
-        labels = len(self) if self.iswildcard else list(self.labels)
-        return 'Axis(%r, %r)' % (labels, self.name)
-
-    def labels_summary(self):
-        """
-        Returns a short representation of the labels.
-
-        Examples
-        --------
-        >>> Axis(100, 'age').labels_summary()
-        '0 1 2 ... 97 98 99'
-        """
-        def repr_on_strings(v):
-            return repr(v) if isinstance(v, str) else str(v)
-        return _seq_summary(self.labels, repr_func=repr_on_strings)
-
-    # method factory
-    def _binop(opname):
-        """
-        Method factory to create binary operators special methods.
-        """
-        fullname = '__%s__' % opname
-
-        def opmethod(self, other):
-            # give a chance to AxisCollection.__rXXX__ ops to trigger
-            if isinstance(other, AxisCollection):
-                # in this case it is indeed return NotImplemented, not raise
-                # NotImplementedError!
-                return NotImplemented
-
-            self_array = labels_array(self)
-            if isinstance(other, Axis):
-                other = labels_array(other)
-            return getattr(self_array, fullname)(other)
-        opmethod.__name__ = fullname
-        return opmethod
-
-    __lt__ = _binop('lt')
-    __le__ = _binop('le')
-    __eq__ = _binop('eq')
-    __ne__ = _binop('ne')
-    __gt__ = _binop('gt')
-    __ge__ = _binop('ge')
-    __add__ = _binop('add')
-    __radd__ = _binop('radd')
-    __sub__ = _binop('sub')
-    __rsub__ = _binop('rsub')
-    __mul__ = _binop('mul')
-    __rmul__ = _binop('rmul')
-    if sys.version < '3':
-        __div__ = _binop('div')
-        __rdiv__ = _binop('rdiv')
-    __truediv__ = _binop('truediv')
-    __rtruediv__ = _binop('rtruediv')
-    __floordiv__ = _binop('floordiv')
-    __rfloordiv__ = _binop('rfloordiv')
-    __mod__ = _binop('mod')
-    __rmod__ = _binop('rmod')
-    __divmod__ = _binop('divmod')
-    __rdivmod__ = _binop('rdivmod')
-    __pow__ = _binop('pow')
-    __rpow__ = _binop('rpow')
-    __lshift__ = _binop('lshift')
-    __rlshift__ = _binop('rlshift')
-    __rshift__ = _binop('rshift')
-    __rrshift__ = _binop('rrshift')
-    __and__ = _binop('and')
-    __rand__ = _binop('rand')
-    __xor__ = _binop('xor')
-    __rxor__ = _binop('rxor')
-    __or__ = _binop('or')
-    __ror__ = _binop('ror')
-    __matmul__ = _binop('matmul')
-
-    def __larray__(self):
-        """
-        Returns axis as LArray.
-        """
-        return labels_array(self)
-
-    def copy(self):
-        """
-        Returns a copy of the axis.
-        """
-        new_axis = Axis([], self.name)
-        # XXX: I wonder if we should make a copy of the labels + mapping.
-        # There should at least be an option.
-        new_axis._labels = self._labels
-        new_axis.__mapping = self.__mapping
-        new_axis._length = self._length
-        new_axis._iswildcard = self._iswildcard
-        new_axis.__sorted_keys = self.__sorted_keys
-        new_axis.__sorted_values = self.__sorted_values
-        return new_axis
-
-    def replace(self, old, new=None):
-        """
-        Returns a new axis with some labels replaced.
-
-        Parameters
-        ----------
-        old : any scalar (bool, int, str, ...), tuple/list/array of scalars, or a mapping.
-            the label(s) to be replaced. Old can be a mapping {old1: new1, old2: new2, ...}
-        new : any scalar (bool, int, str, ...) or tuple/list/array of scalars, optional
-            the new label(s). This is argument must not be used if old is a mapping.
-
-        Returns
-        -------
-        Axis
-            a new Axis with the old labels replaced by new labels.
-
-        Examples
-        --------
-        >>> sex = Axis('sex=M,F')
-        >>> sex
-        Axis(['M', 'F'], 'sex')
-        >>> sex.replace('M', 'Male')
-        Axis(['Male', 'F'], 'sex')
-        >>> sex.replace({'M': 'Male', 'F': 'Female'})
-        Axis(['Male', 'Female'], 'sex')
-        >>> sex.replace(['M', 'F'], ['Male', 'Female'])
-        Axis(['Male', 'Female'], 'sex')
-        """
-        if isinstance(old, dict):
-            new = list(old.values())
-            old = list(old.keys())
-        elif np.isscalar(old):
-            assert new is not None and np.isscalar(new), "%s is not a scalar but a %s" % (new, type(new).__name__)
-            old = [old]
-            new = [new]
-        else:
-            seq = (tuple, list, np.ndarray)
-            assert isinstance(old, seq), "%s is not a sequence but a %s" % (old, type(old).__name__)
-            assert isinstance(new, seq), "%s is not a sequence but a %s" % (new, type(new).__name__)
-            assert len(old) == len(new)
-        # using object dtype because new labels length can be larger than the fixed str length in the self.labels array
-        labels = self.labels.astype(object)
-        indices = self.translate(old)
-        labels[indices] = new
-        return Axis(labels, self.name)
-
-    # XXX: rename to named like Group?
-    def rename(self, name):
-        """
-        Renames the axis.
-
-        Parameters
-        ----------
-        name : str
-            the new name for the axis.
-
-        Returns
-        -------
-        Axis
-            a new Axis with the same labels but a different name.
-
-        Examples
-        --------
-        >>> sex = Axis('sex=M,F')
-        >>> sex
-        Axis(['M', 'F'], 'sex')
-        >>> sex.rename('gender')
-        Axis(['M', 'F'], 'gender')
-        """
-        res = self.copy()
-        if isinstance(name, Axis):
-            name = name.name
-        res.name = name
-        return res
-
-    def _rename(self, name):
-        raise TypeError("Axis._rename is deprecated, use Axis.rename instead")
-
-    def union(self, other):
-        """Returns axis with the union of this axis labels and other labels.
-
-        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this axis will
-        be before labels from other.
-
-        Parameters
-        ----------
-        other : Axis or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        Axis
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.union(Axis('letters=b,c'))
-        Axis(['a', 'b', 'c'], 'letters')
-        >>> letters.union(['b', 'c'])
-        Axis(['a', 'b', 'c'], 'letters')
-        """
-        if isinstance(other, Axis):
-            other = other.labels
-        unique_labels = []
-        seen = set()
-        unique_list(self.labels, unique_labels, seen)
-        unique_list(other, unique_labels, seen)
-        return Axis(unique_labels, self.name)
-
-    def intersection(self, other):
-        """Returns axis with the (set) intersection of this axis labels and other labels.
-
-        In other words, this will use labels from this axis if they are also in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
-
-        Parameters
-        ----------
-        other : Group or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        LSet
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.intersection(Axis('letters=b,c'))
-        Axis(['b'], 'letters')
-        >>> letters.intersection(['b', 'c'])
-        Axis(['b'], 'letters')
-        """
-        if isinstance(other, Axis):
-            other = other.labels
-        seen = set(other)
-        return Axis([l for l in self.labels if l in seen], self.name)
-
-    def difference(self, other):
-        """Returns axis with the (set) difference of this axis labels and other labels.
-
-        In other words, this will use labels from this axis if they are not in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
-
-        Parameters
-        ----------
-        other : Axis or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        Axis
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.difference(Axis('letters=b,c'))
-        Axis(['a'], 'letters')
-        >>> letters.difference(['b', 'c'])
-        Axis(['a'], 'letters')
-        """
-        if isinstance(other, Axis):
-            other = other.labels
-        seen = set(other)
-        return Axis([l for l in self.labels if l not in seen], self.name)
-
-
-# We need a separate class for LGroup and cannot simply create a
-# new Axis with a subset of values/ticks/labels: the subset of
-# ticks/labels of the LGroup need to correspond to its *Axis*
-# indices
-class Group(object):
-    """Abstract Group.
-    """
-    format_string = None
-
-    def __init__(self, key, name=None, axis=None):
-        if isinstance(key, tuple):
-            key = list(key)
-        if isinstance(key, Group):
-            key = key.to_label()
-        self.key = remove_nested_groups(key)
-
-        # we do NOT assign a name automatically when missing because that
-        # makes it impossible to know whether a name was explicitly given or
-        # not
-        self.name = name
-        assert axis is None or isinstance(axis, (basestring, int, Axis)), \
-            "invalid axis '%s' (%s)" % (axis, type(axis).__name__)
-
-        # we could check the key is valid but this can be slow and could be
-        # useless
-        # TODO: for performance reasons, we should cache the result. This will
-        # need to be invalidated correctly
-        # axis.translate(key)
-
-        # we store the Axis object and not its name like we did previously
-        # so that groups on anonymous axes are more meaningful and that we
-        # can iterate on a slice of an axis (an LGroup). The reason to store
-        # the name instead of the object was to make sure that a Group from an
-        # axis (or without axis) could be used on another axis with the same
-        # name. See test_la.py:test_...
-        self.axis = axis
-
-    def __repr__(self):
-        key = self.key
-
-        # eval only returns a slice for groups without an Axis object
-        if isinstance(key, slice):
-            key_repr = _slice_to_str(key, repr_func=repr)
-        elif isinstance(key, (tuple, list, np.ndarray, OrderedSet)):
-            key_repr = _seq_summary(key, n=1000, repr_func=repr, sep=', ')
-        else:
-            key_repr = repr(key)
-
-        axis_name = self.axis.name if isinstance(self.axis, Axis) else self.axis
-        if axis_name is not None:
-            axis_name = 'x.{}'.format(axis_name) if isinstance(self.axis, AxisReference) else axis_name
-            s = self.format_string.format(axis=axis_name, key=key_repr)
-        else:
-            if self.axis is not None:
-                # anonymous axis
-                axis_ref = ', axis={}'.format(repr(self.axis))
-            else:
-                axis_ref = ''
-            if isinstance(key, slice):
-                key_repr = repr(key)
-            elif isinstance(key, list):
-                key_repr = '[{}]'.format(key_repr)
-            s = '{}({}{})'.format(self.__class__.__name__, key_repr, axis_ref)
-        return "{} >> {}".format(s, repr(self.name)) if self.name is not None else s
-
-    def __str__(self):
-        return str(self.eval())
-
-    # TODO: rename to "to_positional"
-    def translate(self, bound=None, stop=False):
-        """
-        Translate key to a position if it is not already
-
-        Parameters
-        ----------
-        bound : any, optional
-        stop : bool, optional
-
-        Returns
-        -------
-        int-based key (single int, slice of int or tuple/list/array of them)
-        """
-        raise NotImplementedError()
-
-    def eval(self):
-        """
-        Translate key to labels, if it is not already, expanding slices in the process.
-
-        Returns
-        -------
-        label-based key (single scalar or tuple/list/array of them)
-        """
-        raise NotImplementedError()
-
-    def to_label(self):
-        """
-        Translate key to labels, if it is not already
-
-        Returns
-        -------
-        label-based key (single scalar, slice of scalars or tuple/list/array of them)
-        """
-        raise NotImplementedError()
-
-    def retarget_to(self, target_axis):
-        """
-        Retarget group to another axis. Potentially translating it to label using its former axis.
-
-        Returns
-        -------
-        Group
-        """
-        raise NotImplementedError()
-
-    def __len__(self):
-        # XXX: we probably want to_label instead of .eval (so that we do not expand slices)
-        value = self.eval()
-        # for some reason this breaks having LGroup ticks/labels on an axis
-        if hasattr(value, '__len__'):
-        # if isinstance(value, (tuple, list, LArray, np.ndarray, str)):
-            return len(value)
-        elif isinstance(value, slice):
-            start, stop, key_step = value.start, value.stop, value.step
-            # not using stop - start because that does not work for string
-            # bounds (and it is different for LGroup & PGroup)
-            start_pos = self.translate(start)
-            stop_pos = self.translate(stop)
-            return stop_pos - start_pos
-        else:
-            raise TypeError('len() of unsized object ({})'.format(value))
-
-    def __iter__(self):
-        # XXX: use translate/PGroup instead, so that it works even in the presence of duplicate labels
-        #      possibly, only if axis is set?
-        return iter([LGroup(v, axis=self.axis) for v in self.eval()])
-
-    def named(self, name):
-        """Returns group with a different name.
-
-        Parameters
-        ----------
-        name : str
-            new name for group
-
-        Returns
-        -------
-        Group
-        """
-        return self.__class__(self.key, name, self.axis)
-    __rshift__ = named
-
-    def with_axis(self, axis):
-        """Returns group with a different axis.
-
-        Parameters
-        ----------
-        axis : int, str, Axis
-            new axis for group
-
-        Returns
-        -------
-        Group
-        """
-        return self.__class__(self.key, self.name, axis)
-
-    def by(self, length, step=None):
-        """Split group into several groups of specified length.
-
-        Parameters
-        ----------
-        length : int
-            length of new groups
-        step : int, optional
-            step between groups. Defaults to length.
-
-        Notes
-        -----
-        step can be smaller than length, in which case, this will produce
-        overlapping groups.
-
-        Returns
-        -------
-        list of Group
-
-        Examples
-        --------
-        >>> age = Axis(range(10), 'age')
-        >>> age[[1, 2, 3, 4, 5]].by(2)
-        (age[1, 2], age[3, 4], age[5])
-        >>> age[1:5].by(2)
-        (age.i[1:3], age.i[3:5], age.i[5:6])
-        >>> age[1:5].by(2, 4)
-        (age.i[1:3], age.i[5:6])
-        >>> age[1:5].by(3, 2)
-        (age.i[1:4], age.i[3:6], age.i[5:6])
-        >>> x.age[[0, 1, 2, 3, 4]].by(2)
-        (x.age[0, 1], x.age[2, 3], x.age[4])
-        """
-        if step is None:
-            step = length
-        return tuple(self[start:start + length]
-                     for start in range(0, len(self), step))
-
-    # TODO: __getitem__ should work by label and .i[] should work by
-    # position. I guess it would be more consistent this way even if the
-    # usefulness of subsetting a group with labels is dubious (but
-    # it is sometimes practical to treat the group as if it was an axis).
-    # >>> vla = geo['...']
-    # >>> # first 10 regions of flanders (this could have some use)
-    # >>> vla.i[:10]  # => PGroup on geo
-    # >>> vla["antwerp", "gent"]  # => LGroup on geo
-
-    # LGroup[] => LGroup
-    # PGroup[] => LGroup
-    # PGroup.i[] => PGroup
-    # LGroup.i[] => PGroup
-    def __getitem__(self, key):
-        """
-
-        Parameters
-        ----------
-        key : int, slice of int or list of int
-            position-based key (even for LGroup)
-
-        Returns
-        -------
-        Group
-        """
-        cls = self.__class__
-        orig_key = self.key
-        # XXX: unsure we should support tuple
-        if isinstance(orig_key, (tuple, list)):
-            return cls(orig_key[key], None, self.axis)
-        elif isinstance(orig_key, slice):
-            orig_start, orig_stop, orig_step = \
-                orig_key.start, orig_key.stop, orig_key.step
-            if orig_step is None:
-                orig_step = 1
-
-            orig_start_pos = self.translate(orig_start) if orig_start is not None else 0
-            if isinstance(key, slice):
-                key_start, key_stop, key_step = key.start, key.stop, key.step
-                if key_step is None:
-                    key_step = 1
-
-                orig_stop_pos = self.translate(orig_stop, stop=True) if orig_stop is not None else len(self)
-                new_start = orig_start_pos + key_start * orig_step
-                new_stop = min(orig_start_pos + key_stop * orig_step,
-                               orig_stop_pos)
-                new_step = orig_step * key_step
-                if new_step == 1:
-                    new_step = None
-                return PGroup(slice(new_start, new_stop, new_step), None,
-                              self.axis)
-            elif isinstance(key, int):
-                return PGroup(orig_start_pos + key * orig_step, None, self.axis)
-            elif isinstance(key, (tuple, list)):
-                return PGroup([orig_start_pos + k * orig_step for k in key],
-                              None, self.axis)
-        elif isinstance(orig_key, LArray):
-            return cls(orig_key.i[key], None, self.axis)
-        elif isinstance(orig_key, int):
-            # give the opportunity to subset the label/key itself (for example for string keys)
-            value = self.eval()
-            return value[key]
-        else:
-            raise TypeError("cannot take a subset of {} because it has a "
-                            "'{}' key".format(self.key, type(self.key)))
-
-    # method factory
-    def _binop(opname):
-        op_fullname = '__%s__' % opname
-
-        # TODO: implement this in a delayed fashion for reference axes
-        if PY2:
-            # workaround the fact slice objects do not have any __binop__ methods defined on Python2 (even though
-            # the actual operations work on them).
-            def opmethod(self, other):
-                self_value = self.eval()
-                other_value = other.eval() if isinstance(other, Group) else other
-                if isinstance(self_value, slice):
-                    if not isinstance(other_value, slice):
-                        return False
-                    self_value = (self_value.start, self_value.stop, self_value.step)
-                    other_value = (other_value.start, other_value.stop, other_value.step)
-                return getattr(self_value, op_fullname)(other_value)
-        else:
-            def opmethod(self, other):
-                other_value = other.eval() if isinstance(other, Group) else other
-                return getattr(self.eval(), op_fullname)(other_value)
-
-        opmethod.__name__ = op_fullname
-        return opmethod
-
-    __matmul__ = _binop('matmul')
-    __ror__ = _binop('ror')
-    __or__ = _binop('or')
-    __rxor__ = _binop('rxor')
-    __xor__ = _binop('xor')
-    __rand__ = _binop('rand')
-    __and__ = _binop('and')
-    __rpow__ = _binop('rpow')
-    __pow__ = _binop('pow')
-    __rdivmod__ = _binop('rdivmod')
-    __divmod__ = _binop('divmod')
-    __rmod__ = _binop('rmod')
-    __mod__ = _binop('mod')
-    __rfloordiv__ = _binop('rfloordiv')
-    __floordiv__ = _binop('floordiv')
-    __rtruediv__ = _binop('rtruediv')
-    __truediv__ = _binop('truediv')
-    if sys.version < '3':
-        __div__ = _binop('div')
-        __rdiv__ = _binop('rdiv')
-    __rmul__ = _binop('rmul')
-    __mul__ = _binop('mul')
-    __rsub__ = _binop('rsub')
-    __sub__ = _binop('sub')
-    __radd__ = _binop('radd')
-    __add__ = _binop('add')
-
-    __ge__ = _binop('ge')
-    __gt__ = _binop('gt')
-    __le__ = _binop('le')
-    __lt__ = _binop('lt')
-
-    # having ne and eq use .eval on a slice group creates an ndarray, for which __eq__ does not return a single value,
-    # which means, it cannot be in a mapping/Axis, but this is no longer a problem, since we do not create axes with
-    # LGroup labels anymore anyway
-    __ne__ = _binop('ne')
-    __eq__ = _binop('eq')
-
-    def set(self):
-        """Creates LSet from this group
-
-        Returns
-        -------
-        LSet
-        """
-        return LSet(self.eval(), self.name, self.axis)
-
-    def union(self, other):
-        """Returns (set) union of this label group and other.
-
-        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this group will
-        be before labels from other.
-
-        Parameters
-        ----------
-        other : Group or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        LSet
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].union(letters['b', 'c'])
-        letters['a', 'b', 'c'].set()
-        >>> letters['a', 'b'].union(['b', 'c'])
-        letters['a', 'b', 'c'].set()
-        """
-        return self.set().union(other)
-
-    def intersection(self, other):
-        """Returns (set) intersection of this label group and other.
-
-        In other words, this will return labels from this group which are also in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
-
-        Parameters
-        ----------
-        other : Group or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        LSet
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].intersection(letters['b', 'c'])
-        letters['b'].set()
-        >>> letters['a', 'b'].intersection(['b', 'c'])
-        letters['b'].set()
-        """
-        return self.set().intersection(other)
-
-    def difference(self, other):
-        """Returns (set) difference of this label group and other.
-
-        In other words, this will return labels from this group without those in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
-
-        Parameters
-        ----------
-        other : Group or any sequence of labels
-            other labels
-
-        Returns
-        -------
-        LSet
-
-        Examples
-        --------
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].difference(letters['b', 'c'])
-        letters['a'].set()
-        >>> letters['a', 'b'].difference(['b', 'c'])
-        letters['a'].set()
-        """
-        return self.set().difference(other)
-
-    def __contains__(self, item):
-        if isinstance(item, Group):
-            item = item.eval()
-        return item in self.eval()
-
-    # this makes range(LGroup(int)) possible
-    def __index__(self):
-        return self.eval().__index__()
-
-    def __int__(self):
-        return self.eval().__int__()
-
-    def __float__(self):
-        return self.eval().__float__()
-
-    def __array__(self, dtype=None):
-        return np.asarray(self.eval(), dtype=dtype)
-
-    def __dir__(self):
-        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
-        # dir() takes care of sorting but not uniqueness, so we must ensure that.
-        return list(set(dir(self.eval())) | set(dir(self.__class__)))
-
-    def __getattr__(self, key):
-        if key == '__array_struct__':
-            raise AttributeError("'Group' object has no attribute '__array_struct__'")
-        else:
-            return getattr(self.eval(), key)
-
-    def __hash__(self):
-        # to_tick & to_key are partially opposite operations but this
-        # standardize on a single notation so that they can all target each
-        # other. eg, this removes spaces in "list strings", instead of
-        # hashing them directly
-        # XXX: but we might want to include that normalization feature in
-        #      to_tick directly, instead of using to_key explicitly here
-        # XXX: we might want to make hash use the position along the axis instead of the labels so that if an
-        #      axis has ambiguous labels, they do not hash to the same thing.
-        # XXX: for performance reasons, I think hash should not evaluate slices. It should only translate pos bounds to
-        #      labels or vice versa. We would loose equality between list Groups and equivalent slice groups but that
-        #      is a small price to pay if the performance impact is large.
-        # the problem with using self.translate() is that we cannot compare groups without axis
-        # return hash(_to_tick(self.translate()))
-        return hash(_to_tick(self.key))
-
-
-def remove_nested_groups(key):
-    # "struct" key with Group elements -> key without Group
-    # TODO: ideally if all key elements are groups on the same Axis, we should make a group on that axis
-    #       for slice bounds, watch out for None
-    if isinstance(key, slice):
-        key_start, key_stop = key.start, key.stop
-        start = key_start.to_label() if isinstance(key_start, Group) else key_start
-        stop = key_stop.to_label() if isinstance(key_stop, Group) else key_stop
-        return slice(start, stop, key.step)
-    elif isinstance(key, (tuple, list)):
-        res = [k.to_label() if isinstance(k, Group) else k for k in key]
-        return tuple(res) if isinstance(key, tuple) else res
-    else:
-        return key
-
-
-class LGroup(Group):
-    """Label group.
-
-    Represents a subset of labels of an axis.
-
-    Parameters
-    ----------
-    key : key
-        Anything usable for indexing.
-        A key should be either sequence of labels, a slice with label bounds or a string.
-    name : str, optional
-        Name of the group.
-    axis : int, str, Axis, optional
-        Axis for group.
-
-    Examples
-    --------
-    >>> age = Axis('age', '0..100')
-    >>> teens = x.age[10:19].named('teens')
-    >>> teens
-    x.age[10:19] >> 'teens'
-    >>> teens = x.age[10:19] >> 'teens'
-    >>> teens
-    x.age[10:19] >> 'teens'
-    """
-    format_string = "{axis}[{key}]"
-
-    def __init__(self, key, name=None, axis=None):
-        key = _to_key(key)
-        Group.__init__(self, key, name, axis)
-
-    #XXX: return PGroup instead?
-    def translate(self, bound=None, stop=False):
-        """
-        compute position(s) of group
-        """
-        if bound is None:
-            bound = self.key
-        if isinstance(self.axis, Axis):
-            pos = self.axis.translate(bound)
-            return pos + int(stop) if np.isscalar(pos) else pos
-        else:
-            raise ValueError("Cannot translate an LGroup without axis")
-
-    def to_label(self):
-        return self.key
-
-    def eval(self):
-        if isinstance(self.key, slice):
-            if isinstance(self.axis, Axis):
-                # expand slices
-                return self.axis.labels[self.translate()]
-            else:
-                return self.key
-                # raise ValueError("Cannot evaluate a slice group without axis")
-        else:
-            # we do not check the group labels are actually valid on Axis
-            return self.key
-
-    def retarget_to(self, target_axis):
-        # TODO: it would be nice to check the labels actually exist on the new axis (if it is a real Axis)
-        #       however, I am unsure we can afford to do this by default (for performance reasons)
-        return LGroup(self.key, self.name, target_axis)
-
-
-class LSet(LGroup):
-    """Label set.
-
-    Represents a set of (unique) labels of an axis.
-
-    Parameters
-    ----------
-    key : key
-        Anything usable for indexing.
-        A key should be either sequence of labels, a slice with label bounds or a string.
-    name : str, optional
-        Name of the set.
-    axis : int, str, Axis, optional
-        Axis for set.
-
-    Examples
-    --------
-    >>> letters = Axis('letters=a..z')
-    >>> abc = letters[':c'].set() >> 'abc'
-    >>> abc
-    letters['a', 'b', 'c'].set() >> 'abc'
-    >>> abc & letters['b:d']
-    letters['b', 'c'].set()
-    """
-    format_string = "{axis}[{key}].set()"
-
-    def __init__(self, key, name=None, axis=None):
-        key = _to_key(key)
-        if isinstance(key, LGroup):
-            if name is None:
-                name = key.name
-            if axis is None:
-                axis = key.axis
-            if not isinstance(key, LSet):
-                key = key.eval()
-        if np.isscalar(key):
-            key = [key]
-        key = OrderedSet(key)
-        LGroup.__init__(self, key, name, axis)
-
-    # method factory
-    def _binop(opname, c):
-        op_fullname = '__%s__' % opname
-
-        # TODO: implement this in a delayed fashion for reference axes
-        def opmethod(self, other):
-            if not isinstance(other, LSet):
-                other = LSet(other)
-            axis = self.axis if self.axis is not None else other.axis
-
-            # setting a meaningful name is hard when either one has no name
-            if self.name is not None and other.name is not None:
-                name = '%s %s %s' % (self.name, c, other.name)
-            else:
-                name = None
-            # TODO: implement this in a more efficient way for ndarray keys
-            #       which can be large
-            result_set = getattr(self.key, op_fullname)(other.key)
-            return LSet(result_set, name=name, axis=axis)
-        opmethod.__name__ = op_fullname
-        return opmethod
-
-    union = _binop('or', '|')
-    __or__ = union
-
-    intersection = _binop('and', '&')
-    __and__ = intersection
-
-    difference = _binop('sub', '-')
-    __sub__ = difference
-
-
-class PGroup(Group):
-    """Positional Group.
-
-    Represents a subset of indices of an axis.
-
-    Parameters
-    ----------
-    key : key
-        Anything usable for indexing.
-        A key should be either a single position, a sequence of positions, or a slice with
-        integer bounds.
-    name : str, optional
-        Name of the group.
-    axis : int, str, Axis, optional
-        Axis for group.
-    """
-    format_string = "{axis}.i[{key}]"
-
-    def translate(self, bound=None, stop=False):
-        """
-        compute position(s) of group
-        """
-        if bound is not None:
-            return bound
-        else:
-            return self.key
-
-    def to_label(self):
-        if isinstance(self.axis, Axis):
-            labels = self.axis.labels
-            key = self.key
-            if isinstance(key, slice):
-                start = labels[key.start] if key.start is not None else None
-                # FIXME: this probably breaks for reverse slices
-                # - 1 because PGroup slice stop is excluded while LGroup slice stop is included
-                stop = labels[key.stop - 1] if key.stop is not None else None
-                return slice(start, stop, key.step)
-            else:
-                # key is a single int or tuple/list/array of them
-                return labels[key]
-        else:
-            raise ValueError("Cannot evaluate a positional group without axis")
-
-    def eval(self):
-        if isinstance(self.axis, Axis):
-            return self.axis.labels[self.key]
-        else:
-            raise ValueError("Cannot evaluate a positional group without axis")
-
-    def retarget_to(self, target_axis):
-        """Make sure a group has axis
-
-        Parameters
-        ----------
-        axis : Axis
-            axis to conform to
-
-        Returns
-        -------
-        Group with axis, raise ValueError otherwise
-        """
-        if self.axis is target_axis:
-            return self
-        elif isinstance(self.axis, basestring) or isinstance(self.axis, AxisReference):
-            axis_name = self.axis.name if isinstance(self.axis, AxisReference) else self.axis
-            if axis_name != target_axis.name:
-                raise ValueError('cannot retarget a PGroup defined without a real axis object (e.g. using '
-                                 'an AxisReference (x.)) to an axis with a different name')
-            return PGroup(self.key, self.name, target_axis)
-        elif self.axis.equals(target_axis) or isinstance(self.axis, int):
-            # in the case of isinstance(self.axis, int), we can only hope the axis corresponds. This is the
-            # case if we come from _translate_axis_key_chunk, but if the users calls this manually, we cannot know.
-            # XXX: maybe changing this to retarget_to_axes would be a good idea after all?
-
-            # just change the axis object
-            return PGroup(self.key, self.name, target_axis)
-        else:
-            # to retarget to another Axis, we need to translate to labels
-            return LGroup(self.to_label(), self.name, target_axis)
-
-    def __hash__(self):
-        return hash(('PGroup', _to_tick(self.key)))
-
-
-def index_by_id(seq, value):
-    """
-    Returns position of an object in a sequence.
-    Raises an error if the object is not in the list.
-
-    Parameters
-    ----------
-    seq : sequence
-        Any sequence (list, tuple, str, unicode).
-
-    value : object
-        Object for which you want to retrieve its position
-        in the sequence.
-
-    Raises
-    ------
-    ValueError
-        If `value` object is not contained in the sequence.
-
-    Examples
-    --------
-    >>> age = Axis('age=0..9')
-    >>> sex = Axis('sex=M,F')
-    >>> time = Axis('time=2007..2010')
-    >>> index_by_id([age, sex, time], sex)
-    1
-    >>> gender = Axis('sex=M,F')
-    >>> index_by_id([age, sex, time], gender)
-    Traceback (most recent call last):
-        ...
-    ValueError: sex is not in list
-    >>> gender = sex
-    >>> index_by_id([age, sex, time], gender)
-    1
-    """
-    for i, item in enumerate(seq):
-        if item is value:
-            return i
-    raise ValueError("%s is not in list" % value)
-
-
-def _make_axis(obj):
-    if isinstance(obj, Axis):
-        return obj
-    elif isinstance(obj, tuple):
-        assert len(obj) == 2
-        labels, name = obj
-        return Axis(labels, name)
-    elif isinstance(obj, Group):
-        return Axis(obj.eval(), obj.axis)
-    elif isinstance(obj, str) and '=' in obj:
-        name, labels = [o.strip() for o in obj.split('=')]
-        return Axis(labels, name)
-    else:
-        # int, str, list, ndarray
-        return Axis(obj)
-
-
-# not using OrderedDict because it does not support indices-based getitem
-# not using namedtuple because we have to know the fields in advance (it is a
-# one-off class) and we need more functionality than just a named tuple
-class AxisCollection(object):
-    """
-    Represents a collection of axes.
-
-    Parameters
-    ----------
-    axes : sequence of Axis or int or tuple or str, optional
-        An axis can be given as an Axis object, an int or a
-        tuple (labels, name) or a string of the kind
-        'name=label_1,label_2,label_3'.
-
-    Raises
-    ------
-    ValueError
-        Cannot have multiple occurrences of the same axis object in a collection.
-
-    Notes
-    -----
-    Multiple occurrences of the same axis object is not allowed.
-    However, several axes with the same name are allowed but this is not recommended.
-
-    Examples
-    --------
-    >>> age = Axis(range(10), 'age')
-    >>> AxisCollection([3, age, (['M', 'F'], 'sex'), 'time = 2007, 2008, 2009, 2010'])
-    AxisCollection([
-        Axis(3, None),
-        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age'),
-        Axis(['M', 'F'], 'sex'),
-        Axis(['2007', '2008', '2009', '2010'], 'time')
-    ])
-    """
-    def __init__(self, axes=None):
-        if axes is None:
-            axes = []
-        elif isinstance(axes, (int, long, Axis)):
-            axes = [axes]
-        elif isinstance(axes, str):
-            axes = [axis.strip() for axis in axes.split(';')]
-
-        axes = [_make_axis(axis) for axis in axes]
-        assert all(isinstance(a, Axis) for a in axes)
-        # check for duplicate axes
-        dupe_axes = list(duplicates(axes))
-        if dupe_axes:
-            axis = dupe_axes[0]
-            raise ValueError("Cannot have multiple occurrences of the same "
-                             "axis object in a collection "
-                             "('%s' -- %s with id %d). "
-                             "Several axes with the same name are allowed "
-                             "though (but not recommended)."
-                             % (axis.name, axis.labels_summary(), id(axis)))
-        self._list = axes
-        self._map = {axis.name: axis for axis in axes if axis.name is not None}
-
-        # # check dupes on each axis
-        # for axis in axes:
-        #     axis_dupes = list(duplicates(axis.labels))
-        #     if axis_dupes:
-        #         dupe_labels = ', '.join(str(l) for l in axis_dupes)
-        #         warnings.warn("duplicate labels found for axis %s: %s"
-        #                       % (axis.name, dupe_labels),
-        #                       category=UserWarning, stacklevel=2)
-        #
-        # # check dupes between axes. Using unique to not spot the dupes
-        # # within the same axis that we just displayed.
-        # all_labels = chain(*[np.unique(axis.labels) for axis in axes])
-        # dupe_labels = list(duplicates(all_labels))
-        # if dupe_labels:
-        #     label_axes = [(label, ', '.join(display_name
-        #                                     for axis, display_name
-        #                                     in zip(axes, self.display_names)
-        #                                     if label in axis))
-        #                   for label in dupe_labels]
-        #     dupes = '\n'.join("{} is valid in {{{}}}".format(label, axes)
-        #                       for label, axes in label_axes)
-        #     warnings.warn("ambiguous labels found:\n%s" % dupes,
-        #                   category=UserWarning, stacklevel=5)
-
-    def __dir__(self):
-        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
-        # dir() takes care of sorting but not uniqueness, so we must ensure that.
-        names = set(axis.name for axis in self._list if axis.name is not None)
-        return list(set(dir(self.__class__)) | names)
-
-    def __iter__(self):
-        return iter(self._list)
-
-    def __getattr__(self, key):
-        try:
-            return self._map[key]
-        except KeyError:
-            return self.__getattribute__(key)
-
-    # needed to make *un*pickling work (because otherwise, __getattr__ is called before _map exists, which leads to
-    # an infinite recursion)
-    def __getstate__(self):
-        return self.__dict__
-
-    def __setstate__(self, d):
-        self.__dict__ = d
-
-    def __getitem__(self, key):
-        if isinstance(key, Axis):
-            try:
-                key = self.index(key)
-            # transform ValueError to KeyError
-            except ValueError:
-                if key.name is None:
-                    raise KeyError("axis '%s' not found in %s" % (key, self))
-                else:
-                    # we should NOT check that the object is the same, so that we can
-                    # use AxisReference objects to target real axes
-                    key = key.name
-
-        if isinstance(key, int):
-            return self._list[key]
-        elif isinstance(key, (tuple, list)):
-            if any(axis is Ellipsis for axis in key):
-                ellipsis_idx = index_by_id(key, Ellipsis)
-                # going through lists (instead of doing self[key[:ellipsis_idx]] to avoid problems with anonymous axes
-                before_ellipsis = [self[k] for k in key[:ellipsis_idx]]
-                after_ellipsis = [self[k] for k in key[ellipsis_idx + 1:]]
-                ellipsis_axes = list(self - before_ellipsis - after_ellipsis)
-                return AxisCollection(before_ellipsis + ellipsis_axes + after_ellipsis)
-            # XXX: also use get_by_pos if tuple/list of Axis?
-            return AxisCollection([self[k] for k in key])
-        elif isinstance(key, AxisCollection):
-            return AxisCollection([self.get_by_pos(k, i)
-                                   for i, k in enumerate(key)])
-        elif isinstance(key, slice):
-            return AxisCollection(self._list[key])
-        elif key is None:
-            raise KeyError("axis '%s' not found in %s" % (key, self))
-        else:
-            assert isinstance(key, basestring), type(key)
-            if key in self._map:
-                return self._map[key]
-            else:
-                raise KeyError("axis '%s' not found in %s" % (key, self))
-
-    # XXX: I wonder if this whole positional crap should really be part of
-    # AxisCollection or the default behavior. It could either be moved to
-    # make_numpy_broadcastable or made non default
-    def get_by_pos(self, key, i):
-        """
-        Returns axis corresponding to a key, or to position i if the key
-        has no name and key object not found.
-
-        Parameters
-        ----------
-        key : key
-            Key corresponding to an axis.
-        i : int
-            Position of the axis (used only if search by key failed).
-
-        Returns
-        -------
-        Axis
-            Axis corresponding to the key or the position i.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, sex, time])
-        >>> col.get_by_pos('sex', 1)
-        Axis(['M', 'F'], 'sex')
-        """
-        if isinstance(key, Axis) and key.name is None:
-            try:
-                # try by object
-                return self[key]
-            except KeyError:
-                if i in self:
-                    res = self[i]
-                    if res.iscompatible(key):
-                        return res
-                    else:
-                        raise ValueError("axis %s is not compatible with %s"
-                                         % (res, key))
-                # XXX: KeyError instead?
-                raise ValueError("axis %s not found in %s"
-                                 % (key, self))
-        else:
-            return self[key]
-
-    def __setitem__(self, key, value):
-        if isinstance(key, slice):
-            assert isinstance(value, (tuple, list, AxisCollection))
-            def slice_bound(bound):
-                if bound is None or isinstance(bound, int):
-                    # out of bounds integer bounds are allowed in slice setitem
-                    # so we cannot use .index
-                    return bound
-                else:
-                    return self.index(bound)
-            start_idx = slice_bound(key.start)
-            # XXX: we might want to make the stop bound inclusive, which makes
-            # more sense for label bounds (but prevents inserts via setitem)
-            stop_idx = slice_bound(key.stop)
-            old = self._list[start_idx:stop_idx:key.step]
-            for axis in old:
-                if axis.name is not None:
-                    del self._map[axis.name]
-            for axis in value:
-                if axis.name is not None:
-                    self._map[axis.name] = axis
-            self._list[start_idx:stop_idx:key.step] = value
-        elif isinstance(key, (tuple, list, AxisCollection)):
-            assert isinstance(value, (tuple, list, AxisCollection))
-            if len(key) != len(value):
-                raise ValueError('must have as many old axes as new axes')
-            for k, v in zip(key, value):
-                self[k] = v
-        else:
-            if isinstance(value, (int, basestring, list, tuple)):
-                value = Axis(value)
-            assert isinstance(value, Axis)
-            idx = self.index(key)
-            step = 1 if idx >= 0 else -1
-            self[idx:idx + step:step] = [value]
-
-    def __delitem__(self, key):
-        if isinstance(key, slice):
-            self[key] = []
-        else:
-            idx = self.index(key)
-            axis = self._list.pop(idx)
-            if axis.name is not None:
-                del self._map[axis.name]
-
-    def union(self, *args, **kwargs):
-        validate = kwargs.pop('validate', True)
-        replace_wildcards = kwargs.pop('replace_wildcards', True)
-        result = self[:]
-        for a in args:
-            if not isinstance(a, AxisCollection):
-                a = AxisCollection(a)
-            result.extend(a, validate=validate, replace_wildcards=replace_wildcards)
-        return result
-    __or__ = union
-    __add__ = union
-
-    def __radd__(self, other):
-        result = AxisCollection(other)
-        result.extend(self)
-        return result
-
-    def __and__(self, other):
-        """
-        Returns the intersection of this collection and other.
-        """
-        if not isinstance(other, AxisCollection):
-            other = AxisCollection(other)
-
-        # XXX: add iscompatible when matching by position?
-        # TODO: move this to a class method (possibly private) so that
-        # we make sure we use same heuristic than in .extend
-        def contains(col, i, axis):
-            return axis in col or (axis.name is None and i in col)
-
-        return AxisCollection([axis for i, axis in enumerate(self)
-                               if contains(other, i, axis)])
-
-    def __eq__(self, other):
-        """
-        Other collection compares equal if all axes compare equal and in the
-        same order. Works with a list.
-        """
-        if self is other:
-            return True
-        if not isinstance(other, list):
-            other = list(other)
-        return len(self._list) == len(other) and \
-               all(a.equals(b) for a, b in zip(self._list, other))
-
-    # for python2, we need to define it explicitly
-    def __ne__(self, other):
-        return not self == other
-
-    def __contains__(self, key):
-        if isinstance(key, int):
-            return -len(self) <= key < len(self)
-        elif isinstance(key, Axis):
-            if key.name is None:
-                # XXX: use only this in all cases?
-                try:
-                    self.index(key)
-                    return True
-                except ValueError:
-                    return False
-            else:
-                key = key.name
-        return key in self._map
-
-    def isaxis(self, value):
-        """
-        Tests if input is an Axis object or
-        the name of an axis contained in self.
-
-        Parameters
-        ----------
-        value : Axis or str
-            Input axis or string
-
-        Returns
-        -------
-        bool
-            True if input is an Axis object or the name of an axis contained in
-            the current AxisCollection instance, False otherwise.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> col = AxisCollection([age, sex])
-        >>> col.isaxis(age)
-        True
-        >>> col.isaxis('sex')
-        True
-        >>> col.isaxis('city')
-        False
-        """
-        # this is tricky. 0 and 1 can be both axes indices and axes ticks.
-        # not sure what's worse:
-        # 1) disallow aggregates(axis_num)
-        #    users could still use arr.sum(arr.axes[0])
-        #    we could also provide an explicit kwarg (ie this would
-        #    effectively forbid having an axis named "axis").
-        #    arr.sum(axis=0). I think this is the sanest option. The
-        #    error message in case we use it without the keyword needs to
-        #    be clearer though.
-        return isinstance(value, Axis) or (isinstance(value, basestring) and
-                                           value in self)
-        # 2) slightly inconsistent API: allow aggregate over single labels
-        #    if they are string, but not int
-        #    arr.sum(0) would sum on the first axis, but arr.sum('M') would
-        #    sum a single tick. I don't like this option.
-        # 3) disallow single tick aggregates. Single labels make little
-        #    sense in the context of an aggregate, but you don't always
-        #    know/want to differenciate the code in that case anyway.
-        #    It would be annoying for e.g. Brussels
-        # 4) give priority to axes,
-        #    arr.sum(0) would sum on the first axis but arr.sum(5) would
-        #    sum a single tick (assuming there is a int axis and less than
-        #    six axes).
-        # return value in self
-
-    def __len__(self):
-        return len(self._list)
-    ndim = property(__len__)
-
-    def __str__(self):
-        return "{%s}" % ', '.join(self.display_names)
-
-    def __repr__(self):
-        axes_repr = (repr(axis) for axis in self._list)
-        return "AxisCollection([\n    %s\n])" % ',\n    '.join(axes_repr)
-
-    def get(self, key, default=None, name=None):
-        """
-        Returns axis corresponding to key. If not found,
-        the argument `name` is used to create a new Axis.
-        If `name` is None, the `default` axis is then returned.
-
-        Parameters
-        ----------
-        key : key
-            Key corresponding to an axis of the current AxisCollection.
-        default : axis, optional
-            Default axis to return if key doesn't correspond to any axis of
-            the collection and argument `name` is None.
-        name : str, optional
-            If key doesn't correspond to any axis of the collection,
-            a new Axis with this name is created and returned.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, time])
-        >>> col.get('time')
-        Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col.get('sex', sex)
-        Axis(['M', 'F'], 'sex')
-        >>> col.get('nb_children', None, 'nb_children')
-        Axis(1, 'nb_children')
-        """
-        # XXX: use if key in self?
-        try:
-            return self[key]
-        except KeyError:
-            if name is None:
-                return default
-            else:
-                return Axis(1, name)
-
-    def get_all(self, key):
-        """
-        Returns all axes from key if present and length 1 wildcard axes
-        otherwise.
-
-        Parameters
-        ----------
-        key : AxisCollection
-
-        Returns
-        -------
-        AxisCollection
-
-        Raises
-        ------
-        AssertionError
-            Raised if the input key is not an AxisCollection object.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> city = Axis(['London', 'Paris', 'Rome'], 'city')
-        >>> col = AxisCollection([age, sex, time])
-        >>> col2 = AxisCollection([age, city, time])
-        >>> col.get_all(col2)
-        AxisCollection([
-            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
-            Axis(1, 'city'),
-            Axis([2007, 2008, 2009, 2010], 'time')
-        ])
-        """
-        assert isinstance(key, AxisCollection)
-        def get_pos_default(k, i):
-            try:
-                return self.get_by_pos(k, i)
-            except (ValueError, KeyError):
-                # XXX: is having i as name really helps?
-                if len(k) == 1:
-                    return k
-                else:
-                    return Axis(1, k.name if k.name is not None else i)
-
-        return AxisCollection([get_pos_default(k, i)
-                               for i, k in enumerate(key)])
-
-    def keys(self):
-        """
-        Returns list of all axis names.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, sex, time]).keys()
-        ['age', 'sex', 'time']
-        """
-        # XXX: include id/num for anonymous axes? I think I should
-        return [a.name for a in self._list]
-
-    def pop(self, axis=-1):
-        """
-        Removes and returns an axis.
-
-        Parameters
-        ----------
-        axis : key, optional
-            Axis to remove and return.
-            Default value is -1 (last axis).
-
-        Returns
-        -------
-        Axis
-            If no argument is provided, the last axis is removed and returned.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, sex, time])
-        >>> col.pop('age')
-        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age')
-        >>> col
-        AxisCollection([
-            Axis(['M', 'F'], 'sex'),
-            Axis([2007, 2008, 2009, 2010], 'time')
-        ])
-        >>> col.pop()
-        Axis([2007, 2008, 2009, 2010], 'time')
-        """
-        axis = self[axis]
-        del self[axis]
-        return axis
-
-    def append(self, axis):
-        """
-        Appends axis at the end of the collection.
-
-        Parameters
-        ----------
-        axis : Axis
-            Axis to append.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, sex])
-        >>> col.append(time)
-        >>> col
-        AxisCollection([
-            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
-            Axis(['M', 'F'], 'sex'),
-            Axis([2007, 2008, 2009, 2010], 'time')
-        ])
-        """
-        self[len(self):len(self)] = [axis]
-
-    def check_compatible(self, axes):
-        """
-        Checks if axes passed as argument are compatible with those
-        contained in the collection. Raises a ValueError if not.
-
-        See Also
-        --------
-        Axis.iscompatible
-        """
-        for i, axis in enumerate(axes):
-            local_axis = self.get_by_pos(axis, i)
-            if not local_axis.iscompatible(axis):
-                raise ValueError("incompatible axes:\n%r\nvs\n%r"
-                                 % (axis, local_axis))
-
-    def extend(self, axes, validate=True, replace_wildcards=False):
-        """
-        Extends the collection by appending the axes from `axes`.
-
-        Parameters
-        ----------
-        axes : sequence of Axis (list, tuple, AxisCollection)
-        validate : bool, optional
-        replace_wildcards : bool, optional
-
-        Raises
-        ------
-        TypeError
-            Raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection(age)
-        >>> col.extend([sex, time])
-        >>> col
-        AxisCollection([
-            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
-            Axis(['M', 'F'], 'sex'),
-            Axis([2007, 2008, 2009, 2010], 'time')
-        ])
-        """
-        # axes should be a sequence
-        if not isinstance(axes, (tuple, list, AxisCollection)):
-            raise TypeError("AxisCollection can only be extended by a "
-                            "sequence of Axis, not %s" % type(axes).__name__)
-        # check that common axes are the same
-        # if validate:
-        #     self.check_compatible(axes)
-
-        # TODO: factorize with get_by_pos
-        def get_axis(col, i, axis):
-            if axis in col:
-                return col[axis]
-            elif axis.name is None and i in col:
-                return col[i]
-            else:
-                return None
-
-        for i, axis in enumerate(axes):
-            old_axis = get_axis(self, i, axis)
-            if old_axis is None:
-                # append axis
-                self[len(self):len(self)] = [axis]
-            # elif replace_wildcards and old_axis.iswildcard:
-            #     self[old_axis] = axis
-            else:
-                # check that common axes are the same
-                if validate and not old_axis.iscompatible(axis):
-                    raise ValueError("incompatible axes:\n%r\nvs\n%r"
-                                     % (axis, old_axis))
-                if replace_wildcards and old_axis.iswildcard:
-                    self[old_axis] = axis
-
-    def index(self, axis):
-        """
-        Returns the index of axis.
-
-        `axis` can be a name or an Axis object (or an index).
-        If the Axis object itself exists in the list, index() will return it.
-        Otherwise, it will return the index of the local axis with the same
-        name than the key (whether it is compatible or not).
-
-        Parameters
-        ----------
-        axis : Axis or int or str
-            Can be the axis itself or its position (returned if represents a valid index)
-            or its name.
-
-        Returns
-        -------
-        int
-            Index of the axis.
-
-        Raises
-        ------
-        ValueError
-            Raised if the axis is not present.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, sex, time])
-        >>> col.index(time)
-        2
-        >>> col.index('sex')
-        1
-        """
-        if isinstance(axis, int):
-            if -len(self) <= axis < len(self):
-                return axis
-            else:
-                raise ValueError("axis %d is not in collection" % axis)
-        elif isinstance(axis, Axis):
-            try:
-                # first look by id. This avoids testing labels of each axis
-                # and makes sure the result is correct even if there are
-                # several axes with no name and the same labels.
-                return index_by_id(self._list, axis)
-            except ValueError:
-                name = axis.name
-        else:
-            name = axis
-        if name is None:
-            raise ValueError("%r is not in collection" % axis)
-        return self.names.index(name)
-
-    # XXX: we might want to return a new AxisCollection (same question for
-    # other inplace operations: append, extend, pop, __delitem__, __setitem__)
-    def insert(self, index, axis):
-        """
-        Inserts axis before index.
-
-        Parameters
-        ----------
-        index : int
-            position of the inserted axis.
-        axis : Axis
-            axis to insert.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> col = AxisCollection([age, time])
-        >>> col.insert(1, sex)
-        >>> col
-        AxisCollection([
-            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
-            Axis(['M', 'F'], 'sex'),
-            Axis([2007, 2008, 2009, 2010], 'time')
-        ])
-        """
-        self[index:index] = [axis]
-
-    def copy(self):
-        """
-        Returns a copy.
-        """
-        return self[:]
-
-    def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
-        """Replace one, several or all axes of the collection.
-
-        Parameters
-        ----------
-        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
-                          or list of Axis or AxisCollection
-            Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
-            If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
-            In that case, the number of new axes must match the number of the old ones.
-        new_axis : axis ref, optional
-            New axis if `axes_to_replace` contains a single axis reference.
-        inplace : bool, optional
-            Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
-            Defaults to False.
-        **kwargs : Axis
-            New axis for each axis to replace given as a keyword argument.
-
-        Returns
-        -------
-        AxisCollection
-            AxisCollection with axes replaced.
-
-        Examples
-        --------
-        >>> axes = ndtest((2, 3)).axes
-        >>> axes
-        AxisCollection([
-            Axis(['a0', 'a1'], 'a'),
-            Axis(['b0', 'b1', 'b2'], 'b')
-        ])
-        >>> row = Axis(['r0', 'r1'], 'row')
-        >>> column = Axis(['c0', 'c1', 'c2'], 'column')
-
-        Replace one axis (second argument `new_axis` must be provided)
-
-        >>> axes.replace(x.a, row)  # doctest: +SKIP
-        >>> # or
-        >>> axes.replace(x.a, "row=r0,r1")
-        AxisCollection([
-            Axis(['r0', 'r1'], 'row'),
-            Axis(['b0', 'b1', 'b2'], 'b')
-        ])
-
-        Replace several axes (keywords, list of tuple or dictionary)
-
-        >>> axes.replace(a=row, b=column)  # doctest: +SKIP
-        >>> # or
-        >>> axes.replace(a="row=r0,r1", b="column=c0,c1,c2")  # doctest: +SKIP
-        >>> # or
-        >>> axes.replace([(x.a, row), (x.b, column)])  # doctest: +SKIP
-        >>> # or
-        >>> axes.replace({x.a: row, x.b: column})
-        AxisCollection([
-            Axis(['r0', 'r1'], 'row'),
-            Axis(['c0', 'c1', 'c2'], 'column')
-        ])
-
-        Replace all axes (list of axes or AxisCollection)
-
-        >>> axes.replace([row, column])
-        AxisCollection([
-            Axis(['r0', 'r1'], 'row'),
-            Axis(['c0', 'c1', 'c2'], 'column')
-        ])
-        >>> arr = ndrange([row, column])
-        >>> axes.replace(arr.axes)
-        AxisCollection([
-            Axis(['r0', 'r1'], 'row'),
-            Axis(['c0', 'c1', 'c2'], 'column')
-        ])
-        """
-        if isinstance(axes_to_replace, (list, AxisCollection)) and \
-                all([isinstance(axis, Axis) for axis in axes_to_replace]):
-            if len(axes_to_replace) != len(self):
-                raise ValueError('{} axes given as argument, expected '
-                                 '{}'.format(len(axes_to_replace), len(self)))
-            axes = axes_to_replace
-        else:
-            axes = self if inplace else self[:]
-            if isinstance(axes_to_replace, dict):
-                items = list(axes_to_replace.items())
-            elif isinstance(axes_to_replace, list):
-                assert all([isinstance(item, tuple) and len(item) == 2 for item in axes_to_replace])
-                items = axes_to_replace[:]
-            elif isinstance(axes_to_replace, (basestring, Axis, int)):
-                items = [(axes_to_replace, new_axis)]
-            else:
-                items = []
-            items += kwargs.items()
-            for old, new in items:
-                axes[old] = new
-        if inplace:
-            return self
-        else:
-            return AxisCollection(axes)
-
-    # XXX: kill this method?
-    def without(self, axes):
-        """
-        Returns a new collection without some axes.
-
-        You can use a comma separated list of names.
-
-        Parameters
-        ----------
-        axes : int, str, Axis or sequence of those
-            Axes to not include in the returned AxisCollection.
-            In case of string, axes are separated by a comma and no whitespace is accepted.
-
-        Returns
-        -------
-        AxisCollection
-            New collection without some axes.
-
-        Notes
-        -----
-        Set operation so axes can contain axes not present in self
-
-        Examples
-        --------
-        >>> age = Axis('age=0..5')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis('time=2015..2017')
-        >>> col = AxisCollection([age, sex, time])
-        >>> col.without([age, sex])
-        AxisCollection([
-            Axis([2015, 2016, 2017], 'time')
-        ])
-        >>> col.without(0)
-        AxisCollection([
-            Axis(['M', 'F'], 'sex'),
-            Axis([2015, 2016, 2017], 'time')
-        ])
-        >>> col.without('sex,time')
-        AxisCollection([
-            Axis([0, 1, 2, 3, 4, 5], 'age')
-        ])
-        """
-        return self - axes
-
-    def __sub__(self, axes):
-        """
-        See Also
-        --------
-        without
-        """
-        if isinstance(axes, basestring):
-            axes = axes.split(',')
-        elif isinstance(axes, (int, Axis)):
-            axes = [axes]
-
-        # only keep indices (as this works for unnamed axes too)
-        to_remove = set(self.index(axis) for axis in axes if axis in self)
-        return AxisCollection([axis for i, axis in enumerate(self)
-                               if i not in to_remove])
-
-    def translate_full_key(self, key):
-        """
-        Translates a label-based key to a positional key.
-
-        Parameters
-        ----------
-        key : tuple
-            A full label-based key.
-            All dimensions must be present and in the correct order.
-
-        Returns
-        -------
-        tuple
-            A full positional key.
-
-        See Also
-        --------
-        Axis.translate
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', 2009))
-        (slice(None, None, None), 1, 2)
-        """
-        assert len(key) == len(self)
-        return tuple(axis.translate(axis_key)
-                     for axis_key, axis in zip(key, self))
-
-    @property
-    def labels(self):
-        """
-        Returns the list of labels of the axes.
-
-        Returns
-        -------
-        list
-            List of labels of the axes.
-
-        Examples
-        --------
-        >>> age = Axis(range(10), 'age')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, time]).labels  # doctest: +NORMALIZE_WHITESPACE
-        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
-         array([2007, 2008, 2009, 2010])]
-        """
-        return [axis.labels for axis in self._list]
-
-    @property
-    def names(self):
-        """
-        Returns the list of (raw) names of the axes.
-
-        Returns
-        -------
-        list
-            List of names of the axes.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, sex, time]).names
-        ['age', 'sex', 'time']
-        """
-        return [axis.name for axis in self._list]
-
-    @property
-    def display_names(self):
-        """
-        Returns the list of (display) names of the axes.
-
-        Returns
-        -------
-        list
-            List of names of the axes.
-            Wildcard axes are displayed with an attached *.
-            Anonymous axes (name = None) are replaced by their position in braces.
-
-        Examples
-        --------
-        >>> a = Axis(['a1', 'a2'], 'a')
-        >>> b = Axis(2, 'b')
-        >>> c = Axis(['c1', 'c2'])
-        >>> d = Axis(3)
-        >>> AxisCollection([a, b, c, d]).display_names
-        ['a', 'b*', '{2}', '{3}*']
-        """
-        def display_name(i, axis):
-            name = axis.name if axis.name is not None else '{%d}' % i
-            return (name + '*') if axis.iswildcard else name
-
-        return [display_name(i, axis) for i, axis in enumerate(self._list)]
-
-    @property
-    def ids(self):
-        """
-        Returns the list of ids of the axes.
-
-        Returns
-        -------
-        list
-            List of ids of the axes.
-
-        See Also
-        --------
-        axis_id
-
-        Examples
-        --------
-        >>> a = Axis(2, 'a')
-        >>> b = Axis(2)
-        >>> c = Axis(2, 'c')
-        >>> AxisCollection([a, b, c]).ids
-        ['a', 1, 'c']
-        """
-        return [axis.name if axis.name is not None else i
-                for i, axis in enumerate(self._list)]
-
-    def axis_id(self, axis):
-        """
-        Returns the id of an axis.
-
-        Returns
-        -------
-        str or int
-            Id of axis, which is its name if defined and its position otherwise.
-
-        Examples
-        --------
-        >>> a = Axis(2, 'a')
-        >>> b = Axis(2)
-        >>> c = Axis(2, 'c')
-        >>> col = AxisCollection([a, b, c])
-        >>> col.axis_id(a)
-        'a'
-        >>> col.axis_id(b)
-        1
-        >>> col.axis_id(c)
-        'c'
-        """
-        axis = self[axis]
-        return axis.name if axis.name is not None else self.index(axis)
-
-    @property
-    def shape(self):
-        """
-        Returns the shape of the collection.
-
-        Returns
-        -------
-        tuple
-            Tuple of lengths of axes.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, sex, time]).shape
-        (20, 2, 4)
-        """
-        return tuple(len(axis) for axis in self._list)
-
-    @property
-    def size(self):
-        """
-        Returns the size of the collection, i.e.
-        the number of elements of the array.
-
-        Returns
-        -------
-        int
-            Number of elements of the array.
-
-        Examples
-        --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, sex, time]).size
-        160
-        """
-        return np.prod(self.shape)
-
-    @property
-    def info(self):
-        """
-        Describes the collection (shape and labels for each axis).
-
-        Returns
-        -------
-        str
-            Description of the AxisCollection (shape and labels for each axis).
-
-        Examples
-        --------
-        >>> age = Axis(20, 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> AxisCollection([age, sex, time]).info
-        20 x 2 x 4
-         age* [20]: 0 1 2 ... 17 18 19
-         sex [2]: 'M' 'F'
-         time [4]: 2007 2008 2009 2010
-        """
-        lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
-                 for name, axis in zip(self.display_names, self._list)]
-        shape = " x ".join(str(s) for s in self.shape)
-        return ReprString('\n'.join([shape] + lines))
-
-    # XXX: instead of front_if_spread, we might want to require axes to be contiguous
-    #      (ie the caller would have to transpose axes before calling this)
-    def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False):
-        """Combine several axes into one.
-
-        Parameters
-        ----------
-        axes : tuple, list or AxisCollection of axes, optional
-            axes to combine. Defaults to all axes.
-        sep : str, optional
-            delimiter to use for combining. Defaults to '_'.
-        wildcard : bool, optional
-            whether or not to produce a wildcard axis even if the axes to
-            combine are not. This is much faster, but loose axes labels.
-        front_if_spread : bool, optional
-            whether or not to move the combined axis at the front (it will be
-            the first axis) if the combined axes are not next to each other.
-
-        Returns
-        -------
-        AxisCollection
-            New AxisCollection with combined axes.
-        """
-        axes = self if axes is None else self[axes]
-        axes_indices = [self.index(axis) for axis in axes]
-        diff = np.diff(axes_indices)
-        # combined axes in front
-        if front_if_spread and np.any(diff > 1):
-            combined_axis_pos = 0
-        else:
-            combined_axis_pos = min(axes_indices)
-
-        # all anonymous axes => anonymous combined axis
-        if all(axis.name is None for axis in axes):
-            combined_name = None
-        else:
-            combined_name = sep.join(str(id_) for id_ in axes.ids)
-
-        if wildcard:
-            combined_axis = Axis(axes.size, combined_name)
-        else:
-            # TODO: the combined keys should be objects which display as:
-            # (axis1_label, axis2_label, ...) but which should also store
-            # the axes names)
-            # Q: Should it be the same object as the NDLGroup?/NDKey?
-            # A: yes. On the Pandas backend, we could/should have
-            #    separate axes. On the numpy backend we cannot.
-            if len(axes) == 1:
-                # Q: if axis is a wildcard axis, should the result be a
-                #    wildcard axis (and axes_labels discarded?)
-                combined_labels = axes[0].labels
-            else:
-                combined_labels = [sep.join(str(l) for l in p)
-                                   for p in product(*axes.labels)]
-
-            combined_axis = Axis(combined_labels, combined_name)
-        new_axes = self - axes
-        new_axes.insert(combined_axis_pos, combined_axis)
-        return new_axes
+import numpy as np
+import pandas as pd
 
-    def split_axis(self, axis, sep='_', names=None, regex=None):
-        """Split one axis and returns a new collection
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
 
-        Parameters
-        ----------
-        axis : int, str or Axis
-            axis to split. All its labels *must* contain
-            the given delimiter string.
-        sep : str, optional
-            delimiter to use for splitting. Defaults to '_'.
-            When `regex` is provided, the delimiter is only used
-            on `names` if given as one string or on axis name if
-            `names` is None.
-        names : str or list of str, optional
-            names of resulting axes. Defaults to None.
-        regex : str, optional
-            use regex instead of delimiter to split labels.
-            Defaults to None.
+try:
+    from numpy import nanprod as np_nanprod
+except ImportError:
+    np_nanprod = None
 
-        Returns
-        -------
-        AxisCollection
-        """
-        axis = self[axis]
-        axis_index = self.index(axis)
-        if names is None:
-            if sep not in axis.name:
-                raise ValueError('{} not found in axis name ({})'
-                                 .format(sep, axis.name))
-            else:
-                names = axis.name.split(sep)
-        elif isinstance(names, str):
-            if sep not in names:
-                raise ValueError('{} not found in names ({})'
-                                 .format(sep, names))
-            else:
-                names = names.split(sep)
-        else:
-            assert all(isinstance(name, str) for name in names)
+from larray.core.expr import ExprNode
+from larray.core.group import (ABCLArray, Group, PGroup, LGroup, remove_nested_groups,
+                               _to_key, _to_keys, _range_to_slice)
+from larray.core.axis import Axis, AxisCollection, x, _make_axis
+from larray.util.misc import (table2str, size2str, unique, decode, basestring, izip, rproduct, ReprString, StringIO,
+                              duplicates, float_error_handler_factory, csv_open, skip_comment_cells, strip_rows,
+                              _isnoneslice)
 
-        if not regex:
-            # gives us an array of lists
-            split_labels = np.char.split(axis.labels, sep)
-        else:
-            rx = re.compile(regex)
-            split_labels = [rx.match(l).groups() for l in axis.labels]
-        # not using np.unique because we want to keep the original order
-        axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
-        split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, names)]
-        return self[:axis_index] + split_axes + self[axis_index + 1:]
+nan = np.nan
 
 
 def all(values, axis=None):
@@ -4323,7 +673,110 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[],
                         np.std, np.nanstd, np.var, np.nanvar}
 
 
-class LArray(object):
+def larray_equal(a1, a2):
+    """
+    Compares two arrays and returns True if they have the same axes and elements (and do not contain nan values,
+    see note below), False otherwise.
+
+    Parameters
+    ----------
+    a1, a2 : LArray-like
+        Input arrays. aslarray() is used on non-LArray inputs.
+
+    Returns
+    -------
+    bool
+        Returns True if the arrays are equal (and do not contain nan values).
+
+    Note
+    ----
+
+    An array containing nan values is never equal to another array, even if that other array also contains nan values at
+    the same positions. The reason is that a nan value is different from *anything*, including itself. One might want
+    to use larray_nan_equal to avoid this behavior.
+
+    See Also
+    --------
+    larray_nan_equal
+
+    Examples
+    --------
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> arr2 = arr1.copy()
+    >>> larray_equal(arr1, arr2)
+    True
+    >>> arr2['b1'] += 1
+    >>> larray_equal(arr1, arr2)
+    False
+    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> larray_equal(arr1, arr3)
+    False
+    """
+    try:
+        a1, a2 = aslarray(a1), aslarray(a2)
+    except Exception:
+        return False
+    return (a1.axes == a2.axes and
+            np.array_equal(np.asarray(a1), np.asarray(a2)))
+
+
+def larray_nan_equal(a1, a2):
+    """
+    Compares two arrays and returns True if they have the same axes and elements, False otherwise.
+
+    Parameters
+    ----------
+    a1, a2 : LArray-like
+        Input arrays. aslarray() is used on non-LArray inputs.
+
+    Returns
+    -------
+    bool
+        Returns True if the arrays are equal, even in the presence of nan values (if they are at the same positions).
+
+    See Also
+    --------
+    larray_equal
+
+    Examples
+    --------
+    >>> arr1 = ndtest((2, 3), dtype=float)
+    >>> arr1['a1', 'b1'] = nan
+    >>> arr1
+    a\\b   b0   b1   b2
+     a0  0.0  1.0  2.0
+     a1  3.0  nan  5.0
+    >>> arr2 = arr1.copy()
+    >>> larray_equal(arr1, arr2)
+    False
+    >>> larray_nan_equal(arr1, arr2)
+    True
+    >>> arr2['b1'] = 0.0
+    >>> larray_nan_equal(arr1, arr2)
+    False
+    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> larray_nan_equal(arr1, arr3)
+    False
+    >>> larray_nan_equal([0], [0])
+    True
+    """
+    def isnan(a):
+        assert isinstance(a, np.ndarray)
+        return np.isnan(a) if np.issubclass_(a.dtype.type, np.inexact) else False
+
+    try:
+        a1, a2 = aslarray(a1), aslarray(a2)
+    except Exception:
+        return False
+    npa1, npa2 = np.asarray(a1), np.asarray(a2)
+    return a1.axes == a2.axes and np.all((npa1 == npa2) | (isnan(npa1) & isnan(npa2)))
+
+
+class LArray(ABCLArray):
     """
     A LArray object represents a multidimensional, homogeneous
     array of fixed-size items with labeled axes.
@@ -6237,7 +2690,7 @@ def _prepare_aggregate(self, op, args, kwargs=None, commutative=False, stack_dep
         # but still keep the axis information
         def standardise_kw_arg(axis_name, key, stack_depth=1):
             if isinstance(key, str):
-                key = to_keys(key, stack_depth + 1)
+                key = _to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
                 # XXX +2?
                 return tuple(standardise_kw_arg(axis_name, k, stack_depth + 1)
@@ -6248,7 +2701,7 @@ def standardise_kw_arg(axis_name, key, stack_depth=1):
 
         def to_labelgroup(key, stack_depth=1):
             if isinstance(key, str):
-                key = to_keys(key, stack_depth + 1)
+                key = _to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
                 # a tuple is supposed to be several groups on the same axis
                 # TODO: it would be better to use
@@ -9080,7 +5533,7 @@ def clip(self, a_min, a_max, out=None):
         If `a_min` and/or `a_max` are array_like, broadcast will occur between
         self, `a_min` and `a_max`.
         """
-        from larray.ufuncs import clip
+        from larray.core.ufuncs import clip
         return clip(self, a_min, a_max, out)
 
     def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
@@ -9107,7 +5560,7 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
 
         Examples
         --------
-        >>> from .tests.test_la import abspath
+        >>> from larray.tests.common import abspath
         >>> fpath = abspath('test.csv')
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
@@ -9223,7 +5676,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
             engine = 'xlwings' if xw is not None else None
 
         if engine == 'xlwings':
-            from .excel import open_excel
+            from larray.io.excel import open_excel
 
             wb = open_excel(filepath, overwrite_file=overwrite_file)
 
@@ -10053,155 +6506,27 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
         axes_names = [df.columns.name]
     # handle 2 or more dimensions with the last axis name given as the columns index name
     elif len(df) > 1:
-        axes_names += [df.columns.name]
-
-    if len(axes_names) > 1:
-        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
-    else:
-        axes_labels = []
-
-    # we could inline df_aslarray into the functions that use it, so that the
-    # original (non-cartesian) df is freed from memory at this point, but it
-    # would be much uglier and would not lower the peak memory usage which
-    # happens during cartesian_product_df.reindex
-
-    # Pandas treats column labels as column names (strings) so we need to convert them to values
-    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
-    axes_labels.append(last_axis_labels)
-    axes_names = [str(name) if name is not None else name
-                  for name in axes_names]
-
-    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
-    data = df.values.reshape([len(axis) for axis in axes])
-    return LArray(data, axes)
-
-
-def from_lists(data, nb_index=None, index_col=None):
-    """
-    initialize array from a list of lists (lines)
-
-    Parameters
-    ----------
-    data : sequence (tuple, list, ...)
-        Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> from_lists([['sex', 'M', 'F'],
-    ...             ['',      0,   1]])
-    sex  M  F
-         0  1
-    >>> from_lists([['sex\\year', 1991, 1992, 1993],
-    ...             [ 'M',           0,    1,    2],
-    ...             [ 'F',           3,    4,    5]])
-    sex\\year  1991  1992  1993
-           M     0     1     2
-           F     3     4     5
-    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
-    ...             [  'M', 'BE',           1,    0,    0],
-    ...             [  'M', 'FO',           2,    0,    0],
-    ...             [  'F', 'BE',           0,    0,    1]])
-    sex  nat\\year  1991  1992  1993
-      M        BE   1.0   0.0   0.0
-      M        FO   2.0   0.0   0.0
-      F        BE   0.0   0.0   1.0
-      F        FO   nan   nan   nan
-    >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
-    ...             [  'M', 'BE',     1,    0,    0],
-    ...             [  'M', 'FO',     2,    0,    0],
-    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
-    sex  nat\\{2}  1991  1992  1993
-      M       BE   1.0   0.0   0.0
-      M       FO   2.0   0.0   0.0
-      F       BE   0.0   0.0   1.0
-      F       FO   nan   nan   nan
-    """
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
-
-    df = pd.DataFrame(data[1:], columns=data[0])
-    if index_col is not None:
-        df.set_index([df.columns[c] for c in index_col], inplace=True)
-
-    return df_aslarray(df, raw=index_col is None, parse_header=False)
-
-
-def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
-    """Create an array from a multi-line string.
-
-    Parameters
-    ----------
-    s : str
-        input string.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
-    sep : str
-        delimiter used to split each line into cells.
-    \**kwargs
-        See arguments of Pandas read_csv function.
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> from_string("sex,M,F\\n,0,1")
-    sex  M  F
-         0  1
-    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-
-    Each label is stripped of leading and trailing whitespace, so this is valid too:
+        axes_names += [df.columns.name]
 
-    >>> from_string('''nat\\sex, M, F
-    ...                BE,       0, 1
-    ...                FO,       2, 3''')
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> from_string('''age,nat\\sex, M, F
-    ...                0,  BE,       0, 1
-    ...                0,  FO,       2, 3
-    ...                1,  BE,       4, 5
-    ...                1,  FO,       6, 7''')
-    age  nat\sex  M  F
-      0       BE  0  1
-      0       FO  2  3
-      1       BE  4  5
-      1       FO  6  7
+    if len(axes_names) > 1:
+        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
+    else:
+        axes_labels = []
 
-    Empty lines at the beginning or end are ignored, so one can also format the string like this:
+    # we could inline df_aslarray into the functions that use it, so that the
+    # original (non-cartesian) df is freed from memory at this point, but it
+    # would be much uglier and would not lower the peak memory usage which
+    # happens during cartesian_product_df.reindex
 
-    >>> from_string('''
-    ... nat\\sex, M, F
-    ... BE,       0, 1
-    ... FO,       2, 3
-    ... ''')
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-    """
+    # Pandas treats column labels as column names (strings) so we need to convert them to values
+    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
+    axes_labels.append(last_axis_labels)
+    axes_names = [str(name) if name is not None else name
+                  for name in axes_names]
 
-    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
+    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
+    data = df.values.reshape([len(axis) for axis in axes])
+    return LArray(data, axes)
 
 
 def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
@@ -10248,7 +6573,8 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
 
     Examples
     --------
-    >>> from .tests.test_la import abspath
+    >>> from larray.tests.common import abspath
+    >>> from larray import ndrange
     >>> fpath = abspath('test.csv')
     >>> a = ndrange('nat=BE,FO;sex=M,F')
 
@@ -10399,7 +6725,7 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         if kwargs:
             raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
                             .format(list(kwargs.keys())[0]))
-        from .excel import open_excel
+        from larray.io.excel import open_excel
         with open_excel(filepath) as wb:
             return wb[sheetname].load(index_col=index_col)
     else:
@@ -10420,11 +6746,139 @@ def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False
         index_col = list(range(nb_index))
     elif isinstance(index_col, int):
         index_col = [index_col]
+    return index_col
 
     df = pd.read_sas(filepath, index=index_col, **kwargs)
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
 
 
+def from_lists(data, nb_index=None, index_col=None):
+    """
+    initialize array from a list of lists (lines)
+
+    Parameters
+    ----------
+    data : sequence (tuple, list, ...)
+        Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from_lists([['sex', 'M', 'F'],
+    ...             ['',      0,   1]])
+    sex  M  F
+         0  1
+    >>> from_lists([['sex\\year', 1991, 1992, 1993],
+    ...             [ 'M',           0,    1,    2],
+    ...             [ 'F',           3,    4,    5]])
+    sex\\year  1991  1992  1993
+           M     0     1     2
+           F     3     4     5
+    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    ...             [  'M', 'BE',           1,    0,    0],
+    ...             [  'M', 'FO',           2,    0,    0],
+    ...             [  'F', 'BE',           0,    0,    1]])
+    sex  nat\\year  1991  1992  1993
+      M        BE   1.0   0.0   0.0
+      M        FO   2.0   0.0   0.0
+      F        BE   0.0   0.0   1.0
+      F        FO   nan   nan   nan
+    >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
+    ...             [  'M', 'BE',     1,    0,    0],
+    ...             [  'M', 'FO',     2,    0,    0],
+    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
+    sex  nat\\{2}  1991  1992  1993
+      M       BE   1.0   0.0   0.0
+      M       FO   2.0   0.0   0.0
+      F       BE   0.0   0.0   1.0
+      F       FO   nan   nan   nan
+    """
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    df = pd.DataFrame(data[1:], columns=data[0])
+    if index_col is not None:
+        df.set_index([df.columns[c] for c in index_col], inplace=True)
+
+    return df_aslarray(df, raw=index_col is None, parse_header=False)
+
+
+def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
+    """Create an array from a multi-line string.
+
+    Parameters
+    ----------
+    s : str
+        input string.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+    sep : str
+        delimiter used to split each line into cells.
+    \**kwargs
+        See arguments of Pandas read_csv function.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from_string("sex,M,F\\n,0,1")
+    sex  M  F
+         0  1
+    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+
+    Each label is stripped of leading and trailing whitespace, so this is valid too:
+
+    >>> from_string('''nat\\sex, M, F
+    ...                BE,       0, 1
+    ...                FO,       2, 3''')
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+    >>> from_string('''age,nat\\sex, M, F
+    ...                0,  BE,       0, 1
+    ...                0,  FO,       2, 3
+    ...                1,  BE,       4, 5
+    ...                1,  FO,       6, 7''')
+    age  nat\sex  M  F
+      0       BE  0  1
+      0       FO  2  3
+      1       BE  4  5
+      1       FO  6  7
+
+    Empty lines at the beginning or end are ignored, so one can also format the string like this:
+
+    >>> from_string('''
+    ... nat\\sex, M, F
+    ... BE,       0, 1
+    ... FO,       2, 3
+    ... ''')
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+    """
+    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
+
+
 def _check_axes_argument(func):
     @functools.wraps(func)
     def wrapper(*args, **kwargs):
@@ -11454,142 +7908,6 @@ def stack(arrays, axis=None, title=''):
     return result
 
 
-class ExprNode(object):
-    # method factory
-    def _binop(opname):
-        def opmethod(self, other):
-            return BinaryOp(opname, self, other)
-
-        opmethod.__name__ = '__%s__' % opname
-        return opmethod
-
-    __matmul__ = _binop('matmul')
-    __ror__ = _binop('ror')
-    __or__ = _binop('or')
-    __rxor__ = _binop('rxor')
-    __xor__ = _binop('xor')
-    __rand__ = _binop('rand')
-    __and__ = _binop('and')
-    __rrshift__ = _binop('rrshift')
-    __rshift__ = _binop('rshift')
-    __rlshift__ = _binop('rlshift')
-    __lshift__ = _binop('lshift')
-    __rpow__ = _binop('rpow')
-    __pow__ = _binop('pow')
-    __rdivmod__ = _binop('rdivmod')
-    __divmod__ = _binop('divmod')
-    __rmod__ = _binop('rmod')
-    __mod__ = _binop('mod')
-    __rfloordiv__ = _binop('rfloordiv')
-    __floordiv__ = _binop('floordiv')
-    __rtruediv__ = _binop('rtruediv')
-    __truediv__ = _binop('truediv')
-    if sys.version < '3':
-        __div__ = _binop('div')
-        __rdiv__ = _binop('rdiv')
-    __rmul__ = _binop('rmul')
-    __mul__ = _binop('mul')
-    __rsub__ = _binop('rsub')
-    __sub__ = _binop('sub')
-    __radd__ = _binop('radd')
-    __add__ = _binop('add')
-    __ge__ = _binop('ge')
-    __gt__ = _binop('gt')
-    __ne__ = _binop('ne')
-    __eq__ = _binop('eq')
-    __le__ = _binop('le')
-    __lt__ = _binop('lt')
-
-    def _unaryop(opname):
-        def opmethod(self):
-            return UnaryOp(opname, self)
-
-        opmethod.__name__ = '__%s__' % opname
-        return opmethod
-
-    # unary ops do not need broadcasting so do not need to be overridden
-    __neg__ = _unaryop('neg')
-    __pos__ = _unaryop('pos')
-    __abs__ = _unaryop('abs')
-    __invert__ = _unaryop('invert')
-
-    def evaluate(self, context):
-        raise NotImplementedError()
-
-
-def expr_eval(expr, context):
-    return expr.evaluate(context) if isinstance(expr, ExprNode) else expr
-
-
-class AxisReference(ExprNode, Axis):
-    def __init__(self, name):
-        self.name = name
-        self._labels = None
-        self._iswildcard = False
-
-    def translate(self, key):
-        raise NotImplementedError("an AxisReference (x.) cannot translate "
-                                  "labels")
-
-    def __repr__(self):
-        return 'AxisReference(%r)' % self.name
-
-    def evaluate(self, context):
-        """
-        Parameters
-        ----------
-        context : AxisCollection
-            Use axes from this collection
-        """
-        return context[self]
-
-    # needed because ExprNode.__hash__ (which is object.__hash__)
-    # takes precedence over Axis.__hash__
-    def __hash__(self):
-        return id(self)
-
-
-class BinaryOp(ExprNode):
-    def __init__(self, op, expr1, expr2):
-        self.op = op
-        self.expr1 = expr1
-        self.expr2 = expr2
-
-    def evaluate(self, context):
-        # TODO: implement eval via numexpr
-        expr1 = expr_eval(self.expr1, context)
-        expr2 = expr_eval(self.expr2, context)
-        return getattr(expr1, '__%s__' % self.op)(expr2)
-
-
-class UnaryOp(ExprNode):
-    def __init__(self, op, expr):
-        self.op = op
-        self.expr = expr
-
-    def evaluate(self, context):
-        # TODO: implement eval via numexpr
-        expr = expr_eval(self.expr, context)
-        return getattr(expr, '__%s__' % self.op)()
-
-
-class AxisReferenceFactory(object):
-    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__):
-    def __getstate__(self):
-        return self.__dict__
-
-    def __setstate__(self, d):
-        self.__dict__ = d
-
-    def __getattr__(self, key):
-        return AxisReference(key)
-
-    def __getitem__(self, key):
-        return AxisReference(key)
-
-x = AxisReferenceFactory()
-
-
 def get_axes(value):
     return value.axes if isinstance(value, LArray) else AxisCollection([])
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
new file mode 100644
index 000000000..e3c726b8f
--- /dev/null
+++ b/larray/core/axis.py
@@ -0,0 +1,2209 @@
+# -*- coding: utf8 -*-
+from __future__ import absolute_import, division, print_function
+
+import re
+import sys
+import warnings
+from itertools import product
+
+import numpy as np
+
+from larray.core.expr import ExprNode
+from larray.core.group import (ABCAxis, ABCAxisReference, ABCLArray, Group, LGroup, PGroup, PGroupMaker,
+                               _to_tick, _to_ticks, _to_key, _seq_summary, _contain_group_ticks,
+                               _seq_group_to_name)
+from larray.util.oset import *
+from larray.util.misc import basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id
+
+__all__ = ['Axis', 'AxisCollection', 'x']
+
+
+class Axis(ABCAxis):
+    """
+    Represents an axis. It consists of a name and a list of labels.
+
+    Parameters
+    ----------
+    labels : array-like or int
+        collection of values usable as labels, i.e. numbers or strings or the size of the axis.
+        In the last case, a wildcard axis is created.
+    name : str or Axis, optional
+        name of the axis or another instance of Axis.
+        In the second case, the name of the other axis is simply copied.
+        By default None.
+
+    Attributes
+    ----------
+    labels : array-like or int
+        collection of values usable as labels, i.e. numbers or strings
+    name : str
+        name of the axis. None in the case of an anonymous axis.
+
+    Examples
+    --------
+    >>> age = Axis(10, 'age')
+    >>> age
+    Axis(10, 'age')
+    >>> age.name
+    'age'
+    >>> age.labels
+    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+    >>> gender = Axis('gender=M,F')
+    >>> gender
+    Axis(['M', 'F'], 'gender')
+    >>> anonymous = Axis('0..4')
+    >>> anonymous
+    Axis([0, 1, 2, 3, 4], None)
+    """
+    # ticks instead of labels?
+    # XXX: make name and labels optional?
+    def __init__(self, labels, name=None):
+        if isinstance(name, Axis):
+            name = name.name
+        if isinstance(labels, basestring):
+            if '=' in labels:
+                name, labels = [o.strip() for o in labels.split('=')]
+            elif '..' not in labels and ',' not in labels:
+                warnings.warn("Arguments 'name' and 'labels' of Axis constructor have been inverted in "
+                              "version 0.22 of larray. Please check you are passing labels first and name "
+                              "as second argument.", stacklevel=2)
+                name, labels = labels, name
+
+        # make sure we do not have np.str_ as it causes problems down the
+        # line with xlwings. Cannot use isinstance to check that though.
+        is_python_str = type(name) is unicode or type(name) is bytes
+        assert name is None or isinstance(name, int) or is_python_str, \
+            type(name)
+        self.name = name
+        self._labels = None
+        self.__mapping = None
+        self.__sorted_keys = None
+        self.__sorted_values = None
+        self._length = None
+        self._iswildcard = False
+        self.labels = labels
+
+    @property
+    def _mapping(self):
+        # To map labels with their positions
+        mapping = self.__mapping
+        if mapping is None:
+            labels = self._labels
+            # TODO: this would be more efficient for wildcard axes but
+            # does not work in all cases
+            # mapping = labels
+            mapping = {label: i for i, label in enumerate(labels)}
+            if not self._iswildcard:
+                # we have no choice but to do that!
+                # otherwise we could not make geo['Brussels'] work efficiently
+                # (we could have to traverse the whole mapping checking for each
+                # name, which is not an option)
+                # TODO: only do this if labels.dtype is object, or add
+                # "contains_lgroup" flag in above code (if any(...))
+                # 0.179
+                mapping.update({label.name: i for i, label in enumerate(labels)
+                                if isinstance(label, Group)})
+            self.__mapping = mapping
+        return mapping
+
+    def _update_key_values(self):
+        mapping = self._mapping
+        if mapping:
+            sorted_keys, sorted_values = tuple(zip(*sorted(mapping.items())))
+        else:
+            sorted_keys, sorted_values = (), ()
+        keys, values = np.array(sorted_keys), np.array(sorted_values)
+        self.__sorted_keys = keys
+        self.__sorted_values = values
+        return keys, values
+
+    @property
+    def _sorted_keys(self):
+        if self.__sorted_keys is None:
+            keys, _ = self._update_key_values()
+        return self.__sorted_keys
+
+    @property
+    def _sorted_values(self):
+        values = self.__sorted_values
+        if values is None:
+            _, values = self._update_key_values()
+        return values
+
+    @property
+    def i(self):
+        """
+        Allows to define a subset using positions along the axis
+        instead of labels.
+
+        Examples
+        --------
+        >>> from larray import ndrange
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> arr = ndrange([sex, time])
+        >>> arr
+        sex\\time  2007  2008  2009  2010
+               M     0     1     2     3
+               F     4     5     6     7
+        >>> arr[time.i[0, -1]]
+        sex\\time  2007  2010
+               M     0     3
+               F     4     7
+        """
+        return PGroupMaker(self)
+
+    @property
+    def labels(self):
+        """
+        List of labels.
+        """
+        return self._labels
+
+    @labels.setter
+    def labels(self, labels):
+        if labels is None:
+            raise TypeError("labels should be a sequence or a single int")
+        if isinstance(labels, (int, long)):
+            length = labels
+            labels = np.arange(length)
+            iswildcard = True
+        else:
+            # TODO: move this to _to_ticks????
+            # we convert to an ndarray to save memory for scalar ticks (for
+            # LGroup ticks, it does not make a difference since a list of VG
+            # and an ndarray of VG are both arrays of pointers)
+            ticks = _to_ticks(labels)
+            if _contain_group_ticks(ticks):
+                # avoid getting a 2d array if all LGroup have the same length
+                labels = np.empty(len(ticks), dtype=object)
+                # this does not work if some values have a length (with a valid __len__) and others not
+                # labels[:] = ticks
+                for i, tick in enumerate(ticks):
+                    labels[i] = tick
+            else:
+                labels = np.asarray(ticks)
+            length = len(labels)
+            iswildcard = False
+
+        self._length = length
+        self._labels = labels
+        self._iswildcard = iswildcard
+
+    def by(self, length, step=None):
+        """Split axis into several groups of specified length.
+
+        Parameters
+        ----------
+        length : int
+            length of groups
+        step : int, optional
+            step between groups. Defaults to length.
+
+        Notes
+        -----
+        step can be smaller than length, in which case, this will produce overlapping groups.
+
+        Returns
+        -------
+        list of Group
+
+        Examples
+        --------
+        >>> age = Axis(range(10), 'age')
+        >>> age.by(3)
+        (age.i[0:3], age.i[3:6], age.i[6:9], age.i[9:10])
+        >>> age.by(3, 4)
+        (age.i[0:3], age.i[4:7], age.i[8:10])
+        >>> age.by(5, 3)
+        (age.i[0:5], age.i[3:8], age.i[6:10], age.i[9:10])
+        """
+        return self[:].by(length, step)
+
+    def extend(self, labels):
+        """
+        Append new labels to an axis or increase its length
+        in case of wildcard axis.
+        Note that `extend` does not occur in-place: a new axis
+        object is allocated, filled and returned.
+
+        Parameters
+        ----------
+        labels : int, iterable or Axis
+            New labels to append to the axis.
+            Passing directly another Axis is also possible.
+            If the current axis is a wildcard axis, passing a length is enough.
+
+        Returns
+        -------
+        Axis
+            A copy of the axis with new labels appended to it or
+            with increased length (if wildcard).
+
+        Examples
+        --------
+        >>> time = Axis([2007, 2008], 'time')
+        >>> time
+        Axis([2007, 2008], 'time')
+        >>> time.extend([2009, 2010])
+        Axis([2007, 2008, 2009, 2010], 'time')
+        >>> waxis = Axis(10, 'wildcard_axis')
+        >>> waxis
+        Axis(10, 'wildcard_axis')
+        >>> waxis.extend(5)
+        Axis(15, 'wildcard_axis')
+        >>> waxis.extend([11, 12, 13, 14])
+        Traceback (most recent call last):
+        ...
+        ValueError: Axis to append must (not) be wildcard if self is (not) wildcard
+        """
+        other = labels if isinstance(labels, Axis) else Axis(labels)
+        if self.iswildcard != other.iswildcard:
+            raise ValueError ("Axis to append must (not) be wildcard if self is (not) wildcard")
+        labels = self._length + other._length if self.iswildcard else np.append(self.labels, other.labels)
+        return Axis(labels, self.name)
+
+    @property
+    def iswildcard(self):
+        return self._iswildcard
+
+    def _group(self, *args, **kwargs):
+        """
+        Deprecated.
+
+        Parameters
+        ----------
+        *args
+            (collection of) selected label(s) to form a group.
+        **kwargs
+            name of the group. There is no other accepted keywords.
+
+        Examples
+        --------
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> odd_years = time._group([2007, 2009], name='odd_years')
+        >>> odd_years
+        time[2007, 2009] >> 'odd_years'
+        """
+        name = kwargs.pop('name', None)
+        if kwargs:
+            raise ValueError("invalid keyword argument(s): %s" % list(kwargs.keys()))
+        key = args[0] if len(args) == 1 else args
+        return self[key] >> name if name else self[key]
+
+    def group(self,  *args, **kwargs):
+        group_name = kwargs.pop('name', None)
+        key = args[0] if len(args) == 1 else args
+        syntax = '{}[{}]'.format(self.name if self.name else 'axis', key)
+        if group_name is not None:
+            syntax += ' >> {}'.format(repr(group_name))
+        raise NotImplementedError('Axis.group is deprecated. Use {} instead.'.format(syntax))
+
+    def all(self, name=None):
+        """
+        (Deprecated) Returns a group containing all labels.
+
+        Parameters
+        ----------
+        name : str, optional
+            Name of the group. If not provided, name is set to 'all'.
+        """
+        axis_name = self.name if self.name else 'axis'
+        group_name = name if name else 'all'
+        raise NotImplementedError('Axis.all is deprecated. '
+                                  'Use {}[:] >> {} instead.'.format(axis_name, repr(group_name)))
+
+    def subaxis(self, key, name=None):
+        """
+        Returns an axis for a sub-array.
+
+        Parameters
+        ----------
+        key : int, or collection (list, slice, array, LArray) of them
+            Position(s) of labels to use for the new axis.
+        name : str, optional
+            Name of the subaxis. Defaults to the name of the parent axis.
+
+        Returns
+        -------
+        Axis
+            Subaxis.
+            If key is a None slice and name is None, the original Axis is returned.
+            If key is a LArray, the list of axes is returned.
+
+        Examples
+        --------
+        >>> age = Axis(range(100), 'age')
+        >>> age.subaxis(range(10, 19), 'teenagers')
+        Axis([10, 11, 12, 13, 14, 15, 16, 17, 18], 'teenagers')
+        """
+        if (name is None and isinstance(key, slice) and
+                key.start is None and key.stop is None and key.step is None):
+            return self
+        # we must NOT modify the axis name, even though this creates a new axis
+        # that is independent from the original one because the original
+        # name is probably what users will want to use to filter
+        if name is None:
+            name = self.name
+        if isinstance(key, ABCLArray):
+            return tuple(key.axes)
+        # TODO: compute length for wildcard axes more efficiently
+        labels = len(self.labels[key]) if self.iswildcard else self.labels[key]
+        return Axis(labels, name)
+
+    def iscompatible(self, other):
+        """
+        Checks if self is compatible with another axis.
+
+        * Two non-wildcard axes are compatible if they have the same name and labels.
+        * A wildcard axis of length 1 is compatible with any other axis sharing the same name.
+        * A wildcard axis of length > 1 is compatible with any axis of the same length or length 1 and sharing the
+          same name.
+
+        Parameters
+        ----------
+        other : Axis
+            Axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is compatible with self, False otherwise.
+
+        Examples
+        --------
+        >>> a10  = Axis(range(10), 'a')
+        >>> wa10 = Axis(10, 'a')
+        >>> wa1  = Axis(1, 'a')
+        >>> b10  = Axis(range(10), 'b')
+        >>> a10.iscompatible(b10)
+        False
+        >>> a10.iscompatible(wa10)
+        True
+        >>> a10.iscompatible(wa1)
+        True
+        >>> wa1.iscompatible(b10)
+        False
+        """
+        if self is other:
+            return True
+        if not isinstance(other, Axis):
+            return False
+        if self.name is not None and other.name is not None and self.name != other.name:
+            return False
+        if self.iswildcard or other.iswildcard:
+            # wildcard axes of length 1 match with anything
+            # wildcard axes of length > 1 match with equal len or len 1
+            return len(self) == 1 or len(other) == 1 or len(self) == len(other)
+        else:
+            return np.array_equal(self.labels, other.labels)
+
+    def equals(self, other):
+        """
+        Checks if self is equal to another axis.
+        Two axes are equal if the have the same name and label(s).
+
+        Parameters
+        ----------
+        other : Axis
+            Axis to compare with.
+
+        Returns
+        -------
+        bool
+            True if input axis is equal to self, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis(range(5), 'age')
+        >>> age_2 = Axis(5, 'age')
+        >>> age_3 = Axis(range(5), 'young children')
+        >>> age_4 = Axis([0, 1, 2, 3, 4], 'age')
+        >>> age.equals(age_2)
+        False
+        >>> age.equals(age_3)
+        False
+        >>> age.equals(age_4)
+        True
+        """
+        if self is other:
+            return True
+
+        # this might need to change if we ever support wildcard axes with
+        # real labels
+        return isinstance(other, Axis) and self.name == other.name and \
+               self.iswildcard == other.iswildcard and \
+               (len(self) == len(other) if self.iswildcard else
+                    np.array_equal(self.labels, other.labels))
+
+    def matches(self, pattern):
+        """
+        Returns a group with all the labels matching the specified pattern (regular expression).
+
+        Parameters
+        ----------
+        pattern : str or Group
+            Regular expression (regex).
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels matching the pattern.
+
+        Notes
+        -----
+        See `Regular Expression <https://docs.python.org/3/library/re.html>`_
+        for more details about how to build a pattern.
+
+        Examples
+        --------
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
+
+        All labels starting with "W" and ending with "o" are given by
+
+        >>> people.matches('W.*o')
+        people['Waldo']
+
+        All labels not containing character "a"
+
+        >>> people.matches('[^a]*$')
+        people['Bruce Willis', 'Arthur Dent']
+        """
+        if isinstance(pattern, Group):
+            pattern = pattern.eval()
+        rx = re.compile(pattern)
+        return LGroup([v for v in self.labels if rx.match(v)], axis=self)
+
+    def startswith(self, prefix):
+        """
+        Returns a group with the labels starting with the specified string.
+
+        Parameters
+        ----------
+        prefix : str or Group
+            The prefix to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels starting with the given string.
+
+        Examples
+        --------
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
+        >>> people.startswith('Bru')
+        people['Bruce Wayne', 'Bruce Willis']
+        """
+        if isinstance(prefix, Group):
+            prefix = prefix.eval()
+        return LGroup([v for v in self.labels if v.startswith(prefix)], axis=self)
+
+    def endswith(self, suffix):
+        """
+        Returns a LGroup with the labels ending with the specified string
+
+        Parameters
+        ----------
+        suffix : str or Group
+            The suffix to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels ending with the given string.
+
+        Examples
+        --------
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
+        >>> people.endswith('Dent')
+        people['Arthur Dent', 'Harvey Dent']
+        """
+        if isinstance(suffix, Group):
+            suffix = suffix.eval()
+        return LGroup([v for v in self.labels if v.endswith(suffix)], axis=self)
+
+    def __len__(self):
+        return self._length
+
+    def __iter__(self):
+        return iter([self.i[i] for i in range(self._length)])
+
+    def __getitem__(self, key):
+        """
+        Returns a group (list or unique element) of label(s) usable in .sum or .filter
+
+        key is a label-based key (slice and fancy indexing are supported)
+
+        Returns
+        -------
+        Group
+            group containing selected label(s)/position(s).
+
+        Notes
+        -----
+        key is label-based (slice and fancy indexing are supported)
+        """
+        # if isinstance(key, basestring):
+        #     key = to_keys(key)
+
+        def isscalar(k):
+            return np.isscalar(k) or (isinstance(k, Group) and np.isscalar(k.key))
+
+        # the not all(np.isscalar) part is necessary to support axis[a, b, c] and axis[[a, b, c]]
+        if isinstance(key, (tuple, list)) and not all(isscalar(k) for k in key):
+            # this creates a group for each key if it wasn't and retargets PGroup
+            list_res = [self[k] for k in key]
+            return list_res if isinstance(key, list) else tuple(list_res)
+
+        name = key.name if isinstance(key, Group) else None
+        return LGroup(key, name, self)
+
+    def __contains__(self, key):
+        return _to_tick(key) in self._mapping
+
+    def __hash__(self):
+        return id(self)
+
+    def _is_key_type_compatible(self, key):
+        key_kind = np.dtype(type(key)).kind
+        label_kind = self.labels.dtype.kind
+        # on Python2, ascii-only unicode string can match byte strings (and
+        # vice versa), so we shouldn't be more picky here than dict hashing
+        str_key = key_kind in ('S', 'U')
+        str_label = label_kind in ('S', 'U')
+        py2_str_match = PY2 and str_key and str_label
+        # object kind can match anything
+        return key_kind == label_kind or \
+               key_kind == 'O' or label_kind == 'O' or \
+               py2_str_match
+
+    def translate(self, key, bool_passthrough=True):
+        """
+        Translates a label key to its numerical index counterpart.
+
+        Parameters
+        ----------
+        key : key
+            Everything usable as a key.
+        bool_passthrough : bool, optional
+            If set to True and key is a boolean vector, it is returned as it.
+
+        Returns
+        -------
+        (array of) int
+            Numerical index(ices) of (all) label(s) represented by the key
+
+        Notes
+        -----
+        Fancy index with boolean vectors are passed through unmodified
+
+        Examples
+        --------
+        >>> people = Axis(['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
+        >>> people.translate('Waldo')
+        3
+        >>> people.translate(people.matches('Bruce'))
+        array([1, 2])
+        """
+        mapping = self._mapping
+
+        if isinstance(key, Group) and key.axis is not self and key.axis is not None:
+            try:
+                # XXX: this is potentially very expensive if key.key is an array or list and should be tried as a last
+                # resort
+                potential_tick = _to_tick(key)
+                # avoid matching 0 against False or 0.0, note that None has object dtype and so always pass this test
+                if self._is_key_type_compatible(potential_tick):
+                    return mapping[potential_tick]
+            # we must catch TypeError because key might not be hashable (eg slice)
+            # IndexError is for when mapping is an ndarray
+            except (KeyError, TypeError, IndexError):
+                pass
+
+        if isinstance(key, basestring):
+            # try the key as-is to allow getting at ticks with special characters (",", ":", ...)
+            try:
+                # avoid matching 0 against False or 0.0, note that Group keys have object dtype and so always pass this test
+                if self._is_key_type_compatible(key):
+                    return mapping[key]
+            # we must catch TypeError because key might not be hashable (eg slice)
+            # IndexError is for when mapping is an ndarray
+            except (KeyError, TypeError, IndexError):
+                pass
+
+            # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
+            key = _to_key(key)
+
+        if isinstance(key, PGroup):
+            assert key.axis is self
+            return key.key
+
+        if isinstance(key, LGroup):
+            # at this point we do not care about the axis nor the name
+            key = key.key
+
+        if isinstance(key, slice):
+            start = mapping[key.start] if key.start is not None else None
+            # stop is inclusive in the input key and exclusive in the output !
+            stop = mapping[key.stop] + 1 if key.stop is not None else None
+            return slice(start, stop, key.step)
+        # XXX: bool LArray do not pass through???
+        elif isinstance(key, np.ndarray) and key.dtype.kind is 'b' and \
+                bool_passthrough:
+            return key
+        elif isinstance(key, (tuple, list, OrderedSet)):
+            # TODO: the result should be cached
+            # Note that this is faster than array_lookup(np.array(key), mapping)
+            res = np.empty(len(key), int)
+            try:
+                for i, label in enumerate(_seq_group_to_name(key)):
+                    res[i] = mapping[label]
+            except KeyError:
+                for i, label in enumerate(key):
+                    res[i] = mapping[label]
+            return res
+        elif isinstance(key, np.ndarray):
+            # handle fancy indexing with a ndarray of labels
+            # TODO: the result should be cached
+            # TODO: benchmark this against the tuple/list version above when
+            # mapping is large
+            # array_lookup is O(len(key) * log(len(mapping)))
+            # vs
+            # tuple/list version is O(len(key)) (dict.getitem is O(1))
+            # XXX: we might want to special case dtype bool, because in that
+            # case the mapping will in most case be {False: 0, True: 1} or
+            # {False: 1, True: 0} and in those case key.astype(int) and
+            # (~key).astype(int) are MUCH faster
+            # see C:\Users\gdm\devel\lookup_methods.py and
+            #     C:\Users\gdm\Desktop\lookup_methods.html
+            try:
+                return array_lookup2(_seq_group_to_name(key), self._sorted_keys, self._sorted_values)
+            except KeyError:
+                return array_lookup2(key, self._sorted_keys, self._sorted_values)
+        elif isinstance(key, ABCLArray):
+            from .array import LArray
+            return LArray(self.translate(key.data), key.axes)
+        else:
+            # the first mapping[key] above will cover most cases. This code
+            # path is only used if the key was given in "non normalized form"
+            assert np.isscalar(key), "%s (%s) is not scalar" % (key, type(key))
+            # key is scalar (integer, float, string, ...)
+            if np.dtype(type(key)).kind == self.labels.dtype.kind:
+                return mapping[key]
+            else:
+                # print("diff dtype", )
+                raise KeyError(key)
+
+    # FIXME: remove id
+    @property
+    def id(self):
+        if self.name is not None:
+            return self.name
+        else:
+            raise ValueError('Axis has no name, so no id')
+
+    def __str__(self):
+        name = str(self.name) if self.name is not None else '{?}'
+        return (name + '*') if self.iswildcard else name
+
+    def __repr__(self):
+        labels = len(self) if self.iswildcard else list(self.labels)
+        return 'Axis(%r, %r)' % (labels, self.name)
+
+    def labels_summary(self):
+        """
+        Returns a short representation of the labels.
+
+        Examples
+        --------
+        >>> Axis(100, 'age').labels_summary()
+        '0 1 2 ... 97 98 99'
+        """
+        def repr_on_strings(v):
+            return repr(v) if isinstance(v, str) else str(v)
+        return _seq_summary(self.labels, repr_func=repr_on_strings)
+
+    # method factory
+    def _binop(opname):
+        """
+        Method factory to create binary operators special methods.
+        """
+        fullname = '__%s__' % opname
+
+        def opmethod(self, other):
+            # give a chance to AxisCollection.__rXXX__ ops to trigger
+            if isinstance(other, AxisCollection):
+                # in this case it is indeed return NotImplemented, not raise
+                # NotImplementedError!
+                return NotImplemented
+
+            from .array import labels_array
+            self_array = labels_array(self)
+            if isinstance(other, Axis):
+                other = labels_array(other)
+            return getattr(self_array, fullname)(other)
+        opmethod.__name__ = fullname
+        return opmethod
+
+    __lt__ = _binop('lt')
+    __le__ = _binop('le')
+    __eq__ = _binop('eq')
+    __ne__ = _binop('ne')
+    __gt__ = _binop('gt')
+    __ge__ = _binop('ge')
+    __add__ = _binop('add')
+    __radd__ = _binop('radd')
+    __sub__ = _binop('sub')
+    __rsub__ = _binop('rsub')
+    __mul__ = _binop('mul')
+    __rmul__ = _binop('rmul')
+    if sys.version < '3':
+        __div__ = _binop('div')
+        __rdiv__ = _binop('rdiv')
+    __truediv__ = _binop('truediv')
+    __rtruediv__ = _binop('rtruediv')
+    __floordiv__ = _binop('floordiv')
+    __rfloordiv__ = _binop('rfloordiv')
+    __mod__ = _binop('mod')
+    __rmod__ = _binop('rmod')
+    __divmod__ = _binop('divmod')
+    __rdivmod__ = _binop('rdivmod')
+    __pow__ = _binop('pow')
+    __rpow__ = _binop('rpow')
+    __lshift__ = _binop('lshift')
+    __rlshift__ = _binop('rlshift')
+    __rshift__ = _binop('rshift')
+    __rrshift__ = _binop('rrshift')
+    __and__ = _binop('and')
+    __rand__ = _binop('rand')
+    __xor__ = _binop('xor')
+    __rxor__ = _binop('rxor')
+    __or__ = _binop('or')
+    __ror__ = _binop('ror')
+    __matmul__ = _binop('matmul')
+
+    def __larray__(self):
+        """
+        Returns axis as LArray.
+        """
+        from .array import labels_array
+        return labels_array(self)
+
+    def copy(self):
+        """
+        Returns a copy of the axis.
+        """
+        new_axis = Axis([], self.name)
+        # XXX: I wonder if we should make a copy of the labels + mapping.
+        # There should at least be an option.
+        new_axis._labels = self._labels
+        new_axis.__mapping = self.__mapping
+        new_axis._length = self._length
+        new_axis._iswildcard = self._iswildcard
+        new_axis.__sorted_keys = self.__sorted_keys
+        new_axis.__sorted_values = self.__sorted_values
+        return new_axis
+
+    def replace(self, old, new=None):
+        """
+        Returns a new axis with some labels replaced.
+
+        Parameters
+        ----------
+        old : any scalar (bool, int, str, ...), tuple/list/array of scalars, or a mapping.
+            the label(s) to be replaced. Old can be a mapping {old1: new1, old2: new2, ...}
+        new : any scalar (bool, int, str, ...) or tuple/list/array of scalars, optional
+            the new label(s). This is argument must not be used if old is a mapping.
+
+        Returns
+        -------
+        Axis
+            a new Axis with the old labels replaced by new labels.
+
+        Examples
+        --------
+        >>> sex = Axis('sex=M,F')
+        >>> sex
+        Axis(['M', 'F'], 'sex')
+        >>> sex.replace('M', 'Male')
+        Axis(['Male', 'F'], 'sex')
+        >>> sex.replace({'M': 'Male', 'F': 'Female'})
+        Axis(['Male', 'Female'], 'sex')
+        >>> sex.replace(['M', 'F'], ['Male', 'Female'])
+        Axis(['Male', 'Female'], 'sex')
+        """
+        if isinstance(old, dict):
+            new = list(old.values())
+            old = list(old.keys())
+        elif np.isscalar(old):
+            assert new is not None and np.isscalar(new), "%s is not a scalar but a %s" % (new, type(new).__name__)
+            old = [old]
+            new = [new]
+        else:
+            seq = (tuple, list, np.ndarray)
+            assert isinstance(old, seq), "%s is not a sequence but a %s" % (old, type(old).__name__)
+            assert isinstance(new, seq), "%s is not a sequence but a %s" % (new, type(new).__name__)
+            assert len(old) == len(new)
+        # using object dtype because new labels length can be larger than the fixed str length in the self.labels array
+        labels = self.labels.astype(object)
+        indices = self.translate(old)
+        labels[indices] = new
+        return Axis(labels, self.name)
+
+    # XXX: rename to named like Group?
+    def rename(self, name):
+        """
+        Renames the axis.
+
+        Parameters
+        ----------
+        name : str
+            the new name for the axis.
+
+        Returns
+        -------
+        Axis
+            a new Axis with the same labels but a different name.
+
+        Examples
+        --------
+        >>> sex = Axis('sex=M,F')
+        >>> sex
+        Axis(['M', 'F'], 'sex')
+        >>> sex.rename('gender')
+        Axis(['M', 'F'], 'gender')
+        """
+        res = self.copy()
+        if isinstance(name, Axis):
+            name = name.name
+        res.name = name
+        return res
+
+    def _rename(self, name):
+        raise TypeError("Axis._rename is deprecated, use Axis.rename instead")
+
+    def union(self, other):
+        """Returns axis with the union of this axis labels and other labels.
+
+        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this axis will
+        be before labels from other.
+
+        Parameters
+        ----------
+        other : Axis or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        Axis
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.union(Axis('letters=b,c'))
+        Axis(['a', 'b', 'c'], 'letters')
+        >>> letters.union(['b', 'c'])
+        Axis(['a', 'b', 'c'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        unique_labels = []
+        seen = set()
+        unique_list(self.labels, unique_labels, seen)
+        unique_list(other, unique_labels, seen)
+        return Axis(unique_labels, self.name)
+
+    def intersection(self, other):
+        """Returns axis with the (set) intersection of this axis labels and other labels.
+
+        In other words, this will use labels from this axis if they are also in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.intersection(Axis('letters=b,c'))
+        Axis(['b'], 'letters')
+        >>> letters.intersection(['b', 'c'])
+        Axis(['b'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        seen = set(other)
+        return Axis([l for l in self.labels if l in seen], self.name)
+
+    def difference(self, other):
+        """Returns axis with the (set) difference of this axis labels and other labels.
+
+        In other words, this will use labels from this axis if they are not in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Axis or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        Axis
+
+        Examples
+        --------
+        >>> letters = Axis('letters=a,b')
+        >>> letters.difference(Axis('letters=b,c'))
+        Axis(['a'], 'letters')
+        >>> letters.difference(['b', 'c'])
+        Axis(['a'], 'letters')
+        """
+        if isinstance(other, Axis):
+            other = other.labels
+        seen = set(other)
+        return Axis([l for l in self.labels if l not in seen], self.name)
+
+
+def _make_axis(obj):
+    if isinstance(obj, Axis):
+        return obj
+    elif isinstance(obj, tuple):
+        assert len(obj) == 2
+        labels, name = obj
+        return Axis(labels, name)
+    elif isinstance(obj, Group):
+        return Axis(obj.eval(), obj.axis)
+    elif isinstance(obj, str) and '=' in obj:
+        name, labels = [o.strip() for o in obj.split('=')]
+        return Axis(labels, name)
+    else:
+        # int, str, list, ndarray
+        return Axis(obj)
+
+
+# not using OrderedDict because it does not support indices-based getitem
+# not using namedtuple because we have to know the fields in advance (it is a
+# one-off class) and we need more functionality than just a named tuple
+class AxisCollection(object):
+    """
+    Represents a collection of axes.
+
+    Parameters
+    ----------
+    axes : sequence of Axis or int or tuple or str, optional
+        An axis can be given as an Axis object, an int or a
+        tuple (labels, name) or a string of the kind
+        'name=label_1,label_2,label_3'.
+
+    Raises
+    ------
+    ValueError
+        Cannot have multiple occurrences of the same axis object in a collection.
+
+    Notes
+    -----
+    Multiple occurrences of the same axis object is not allowed.
+    However, several axes with the same name are allowed but this is not recommended.
+
+    Examples
+    --------
+    >>> age = Axis(range(10), 'age')
+    >>> AxisCollection([3, age, (['M', 'F'], 'sex'), 'time = 2007, 2008, 2009, 2010'])
+    AxisCollection([
+        Axis(3, None),
+        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age'),
+        Axis(['M', 'F'], 'sex'),
+        Axis(['2007', '2008', '2009', '2010'], 'time')
+    ])
+    """
+    def __init__(self, axes=None):
+        if axes is None:
+            axes = []
+        elif isinstance(axes, (int, long, Axis)):
+            axes = [axes]
+        elif isinstance(axes, str):
+            axes = [axis.strip() for axis in axes.split(';')]
+
+        axes = [_make_axis(axis) for axis in axes]
+        assert all(isinstance(a, Axis) for a in axes)
+        # check for duplicate axes
+        dupe_axes = list(duplicates(axes))
+        if dupe_axes:
+            axis = dupe_axes[0]
+            raise ValueError("Cannot have multiple occurrences of the same "
+                             "axis object in a collection "
+                             "('%s' -- %s with id %d). "
+                             "Several axes with the same name are allowed "
+                             "though (but not recommended)."
+                             % (axis.name, axis.labels_summary(), id(axis)))
+        self._list = axes
+        self._map = {axis.name: axis for axis in axes if axis.name is not None}
+
+        # # check dupes on each axis
+        # for axis in axes:
+        #     axis_dupes = list(duplicates(axis.labels))
+        #     if axis_dupes:
+        #         dupe_labels = ', '.join(str(l) for l in axis_dupes)
+        #         warnings.warn("duplicate labels found for axis %s: %s"
+        #                       % (axis.name, dupe_labels),
+        #                       category=UserWarning, stacklevel=2)
+        #
+        # # check dupes between axes. Using unique to not spot the dupes
+        # # within the same axis that we just displayed.
+        # all_labels = chain(*[np.unique(axis.labels) for axis in axes])
+        # dupe_labels = list(duplicates(all_labels))
+        # if dupe_labels:
+        #     label_axes = [(label, ', '.join(display_name
+        #                                     for axis, display_name
+        #                                     in zip(axes, self.display_names)
+        #                                     if label in axis))
+        #                   for label in dupe_labels]
+        #     dupes = '\n'.join("{} is valid in {{{}}}".format(label, axes)
+        #                       for label, axes in label_axes)
+        #     warnings.warn("ambiguous labels found:\n%s" % dupes,
+        #                   category=UserWarning, stacklevel=5)
+
+    def __dir__(self):
+        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
+        # dir() takes care of sorting but not uniqueness, so we must ensure that.
+        names = set(axis.name for axis in self._list if axis.name is not None)
+        return list(set(dir(self.__class__)) | names)
+
+    def __iter__(self):
+        return iter(self._list)
+
+    def __getattr__(self, key):
+        try:
+            return self._map[key]
+        except KeyError:
+            return self.__getattribute__(key)
+
+    # needed to make *un*pickling work (because otherwise, __getattr__ is called before _map exists, which leads to
+    # an infinite recursion)
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
+    def __getitem__(self, key):
+        if isinstance(key, Axis):
+            try:
+                key = self.index(key)
+            # transform ValueError to KeyError
+            except ValueError:
+                if key.name is None:
+                    raise KeyError("axis '%s' not found in %s" % (key, self))
+                else:
+                    # we should NOT check that the object is the same, so that we can
+                    # use AxisReference objects to target real axes
+                    key = key.name
+
+        if isinstance(key, int):
+            return self._list[key]
+        elif isinstance(key, (tuple, list)):
+            if any(axis is Ellipsis for axis in key):
+                ellipsis_idx = index_by_id(key, Ellipsis)
+                # going through lists (instead of doing self[key[:ellipsis_idx]] to avoid problems with anonymous axes
+                before_ellipsis = [self[k] for k in key[:ellipsis_idx]]
+                after_ellipsis = [self[k] for k in key[ellipsis_idx + 1:]]
+                ellipsis_axes = list(self - before_ellipsis - after_ellipsis)
+                return AxisCollection(before_ellipsis + ellipsis_axes + after_ellipsis)
+            # XXX: also use get_by_pos if tuple/list of Axis?
+            return AxisCollection([self[k] for k in key])
+        elif isinstance(key, AxisCollection):
+            return AxisCollection([self.get_by_pos(k, i)
+                                   for i, k in enumerate(key)])
+        elif isinstance(key, slice):
+            return AxisCollection(self._list[key])
+        elif key is None:
+            raise KeyError("axis '%s' not found in %s" % (key, self))
+        else:
+            assert isinstance(key, basestring), type(key)
+            if key in self._map:
+                return self._map[key]
+            else:
+                raise KeyError("axis '%s' not found in %s" % (key, self))
+
+    # XXX: I wonder if this whole positional crap should really be part of
+    # AxisCollection or the default behavior. It could either be moved to
+    # make_numpy_broadcastable or made non default
+    def get_by_pos(self, key, i):
+        """
+        Returns axis corresponding to a key, or to position i if the key
+        has no name and key object not found.
+
+        Parameters
+        ----------
+        key : key
+            Key corresponding to an axis.
+        i : int
+            Position of the axis (used only if search by key failed).
+
+        Returns
+        -------
+        Axis
+            Axis corresponding to the key or the position i.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.get_by_pos('sex', 1)
+        Axis(['M', 'F'], 'sex')
+        """
+        if isinstance(key, Axis) and key.name is None:
+            try:
+                # try by object
+                return self[key]
+            except KeyError:
+                if i in self:
+                    res = self[i]
+                    if res.iscompatible(key):
+                        return res
+                    else:
+                        raise ValueError("axis %s is not compatible with %s"
+                                         % (res, key))
+                # XXX: KeyError instead?
+                raise ValueError("axis %s not found in %s"
+                                 % (key, self))
+        else:
+            return self[key]
+
+    def __setitem__(self, key, value):
+        if isinstance(key, slice):
+            assert isinstance(value, (tuple, list, AxisCollection))
+            def slice_bound(bound):
+                if bound is None or isinstance(bound, int):
+                    # out of bounds integer bounds are allowed in slice setitem
+                    # so we cannot use .index
+                    return bound
+                else:
+                    return self.index(bound)
+            start_idx = slice_bound(key.start)
+            # XXX: we might want to make the stop bound inclusive, which makes
+            # more sense for label bounds (but prevents inserts via setitem)
+            stop_idx = slice_bound(key.stop)
+            old = self._list[start_idx:stop_idx:key.step]
+            for axis in old:
+                if axis.name is not None:
+                    del self._map[axis.name]
+            for axis in value:
+                if axis.name is not None:
+                    self._map[axis.name] = axis
+            self._list[start_idx:stop_idx:key.step] = value
+        elif isinstance(key, (tuple, list, AxisCollection)):
+            assert isinstance(value, (tuple, list, AxisCollection))
+            if len(key) != len(value):
+                raise ValueError('must have as many old axes as new axes')
+            for k, v in zip(key, value):
+                self[k] = v
+        else:
+            if isinstance(value, (int, basestring, list, tuple)):
+                value = Axis(value)
+            assert isinstance(value, Axis)
+            idx = self.index(key)
+            step = 1 if idx >= 0 else -1
+            self[idx:idx + step:step] = [value]
+
+    def __delitem__(self, key):
+        if isinstance(key, slice):
+            self[key] = []
+        else:
+            idx = self.index(key)
+            axis = self._list.pop(idx)
+            if axis.name is not None:
+                del self._map[axis.name]
+
+    def union(self, *args, **kwargs):
+        validate = kwargs.pop('validate', True)
+        replace_wildcards = kwargs.pop('replace_wildcards', True)
+        result = self[:]
+        for a in args:
+            if not isinstance(a, AxisCollection):
+                a = AxisCollection(a)
+            result.extend(a, validate=validate, replace_wildcards=replace_wildcards)
+        return result
+    __or__ = union
+    __add__ = union
+
+    def __radd__(self, other):
+        result = AxisCollection(other)
+        result.extend(self)
+        return result
+
+    def __and__(self, other):
+        """
+        Returns the intersection of this collection and other.
+        """
+        if not isinstance(other, AxisCollection):
+            other = AxisCollection(other)
+
+        # XXX: add iscompatible when matching by position?
+        # TODO: move this to a class method (possibly private) so that
+        # we make sure we use same heuristic than in .extend
+        def contains(col, i, axis):
+            return axis in col or (axis.name is None and i in col)
+
+        return AxisCollection([axis for i, axis in enumerate(self)
+                               if contains(other, i, axis)])
+
+    def __eq__(self, other):
+        """
+        Other collection compares equal if all axes compare equal and in the
+        same order. Works with a list.
+        """
+        if self is other:
+            return True
+        if not isinstance(other, list):
+            other = list(other)
+        return len(self._list) == len(other) and \
+               all(a.equals(b) for a, b in zip(self._list, other))
+
+    # for python2, we need to define it explicitly
+    def __ne__(self, other):
+        return not self == other
+
+    def __contains__(self, key):
+        if isinstance(key, int):
+            return -len(self) <= key < len(self)
+        elif isinstance(key, Axis):
+            if key.name is None:
+                # XXX: use only this in all cases?
+                try:
+                    self.index(key)
+                    return True
+                except ValueError:
+                    return False
+            else:
+                key = key.name
+        return key in self._map
+
+    def isaxis(self, value):
+        """
+        Tests if input is an Axis object or
+        the name of an axis contained in self.
+
+        Parameters
+        ----------
+        value : Axis or str
+            Input axis or string
+
+        Returns
+        -------
+        bool
+            True if input is an Axis object or the name of an axis contained in
+            the current AxisCollection instance, False otherwise.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> col = AxisCollection([age, sex])
+        >>> col.isaxis(age)
+        True
+        >>> col.isaxis('sex')
+        True
+        >>> col.isaxis('city')
+        False
+        """
+        # this is tricky. 0 and 1 can be both axes indices and axes ticks.
+        # not sure what's worse:
+        # 1) disallow aggregates(axis_num)
+        #    users could still use arr.sum(arr.axes[0])
+        #    we could also provide an explicit kwarg (ie this would
+        #    effectively forbid having an axis named "axis").
+        #    arr.sum(axis=0). I think this is the sanest option. The
+        #    error message in case we use it without the keyword needs to
+        #    be clearer though.
+        return isinstance(value, Axis) or (isinstance(value, basestring) and
+                                           value in self)
+        # 2) slightly inconsistent API: allow aggregate over single labels
+        #    if they are string, but not int
+        #    arr.sum(0) would sum on the first axis, but arr.sum('M') would
+        #    sum a single tick. I don't like this option.
+        # 3) disallow single tick aggregates. Single labels make little
+        #    sense in the context of an aggregate, but you don't always
+        #    know/want to differenciate the code in that case anyway.
+        #    It would be annoying for e.g. Brussels
+        # 4) give priority to axes,
+        #    arr.sum(0) would sum on the first axis but arr.sum(5) would
+        #    sum a single tick (assuming there is a int axis and less than
+        #    six axes).
+        # return value in self
+
+    def __len__(self):
+        return len(self._list)
+    ndim = property(__len__)
+
+    def __str__(self):
+        return "{%s}" % ', '.join(self.display_names)
+
+    def __repr__(self):
+        axes_repr = (repr(axis) for axis in self._list)
+        return "AxisCollection([\n    %s\n])" % ',\n    '.join(axes_repr)
+
+    def get(self, key, default=None, name=None):
+        """
+        Returns axis corresponding to key. If not found,
+        the argument `name` is used to create a new Axis.
+        If `name` is None, the `default` axis is then returned.
+
+        Parameters
+        ----------
+        key : key
+            Key corresponding to an axis of the current AxisCollection.
+        default : axis, optional
+            Default axis to return if key doesn't correspond to any axis of
+            the collection and argument `name` is None.
+        name : str, optional
+            If key doesn't correspond to any axis of the collection,
+            a new Axis with this name is created and returned.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, time])
+        >>> col.get('time')
+        Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col.get('sex', sex)
+        Axis(['M', 'F'], 'sex')
+        >>> col.get('nb_children', None, 'nb_children')
+        Axis(1, 'nb_children')
+        """
+        # XXX: use if key in self?
+        try:
+            return self[key]
+        except KeyError:
+            if name is None:
+                return default
+            else:
+                return Axis(1, name)
+
+    def get_all(self, key):
+        """
+        Returns all axes from key if present and length 1 wildcard axes
+        otherwise.
+
+        Parameters
+        ----------
+        key : AxisCollection
+
+        Returns
+        -------
+        AxisCollection
+
+        Raises
+        ------
+        AssertionError
+            Raised if the input key is not an AxisCollection object.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> city = Axis(['London', 'Paris', 'Rome'], 'city')
+        >>> col = AxisCollection([age, sex, time])
+        >>> col2 = AxisCollection([age, city, time])
+        >>> col.get_all(col2)
+        AxisCollection([
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(1, 'city'),
+            Axis([2007, 2008, 2009, 2010], 'time')
+        ])
+        """
+        assert isinstance(key, AxisCollection)
+        def get_pos_default(k, i):
+            try:
+                return self.get_by_pos(k, i)
+            except (ValueError, KeyError):
+                # XXX: is having i as name really helps?
+                if len(k) == 1:
+                    return k
+                else:
+                    return Axis(1, k.name if k.name is not None else i)
+
+        return AxisCollection([get_pos_default(k, i)
+                               for i, k in enumerate(key)])
+
+    def keys(self):
+        """
+        Returns list of all axis names.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, sex, time]).keys()
+        ['age', 'sex', 'time']
+        """
+        # XXX: include id/num for anonymous axes? I think I should
+        return [a.name for a in self._list]
+
+    def pop(self, axis=-1):
+        """
+        Removes and returns an axis.
+
+        Parameters
+        ----------
+        axis : key, optional
+            Axis to remove and return.
+            Default value is -1 (last axis).
+
+        Returns
+        -------
+        Axis
+            If no argument is provided, the last axis is removed and returned.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.pop('age')
+        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age')
+        >>> col
+        AxisCollection([
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
+        ])
+        >>> col.pop()
+        Axis([2007, 2008, 2009, 2010], 'time')
+        """
+        axis = self[axis]
+        del self[axis]
+        return axis
+
+    def append(self, axis):
+        """
+        Appends axis at the end of the collection.
+
+        Parameters
+        ----------
+        axis : Axis
+            Axis to append.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, sex])
+        >>> col.append(time)
+        >>> col
+        AxisCollection([
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
+        ])
+        """
+        self[len(self):len(self)] = [axis]
+
+    def check_compatible(self, axes):
+        """
+        Checks if axes passed as argument are compatible with those
+        contained in the collection. Raises a ValueError if not.
+
+        See Also
+        --------
+        Axis.iscompatible
+        """
+        for i, axis in enumerate(axes):
+            local_axis = self.get_by_pos(axis, i)
+            if not local_axis.iscompatible(axis):
+                raise ValueError("incompatible axes:\n%r\nvs\n%r"
+                                 % (axis, local_axis))
+
+    def extend(self, axes, validate=True, replace_wildcards=False):
+        """
+        Extends the collection by appending the axes from `axes`.
+
+        Parameters
+        ----------
+        axes : sequence of Axis (list, tuple, AxisCollection)
+        validate : bool, optional
+        replace_wildcards : bool, optional
+
+        Raises
+        ------
+        TypeError
+            Raised if `axes` is not a sequence of Axis (list, tuple or AxisCollection)
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection(age)
+        >>> col.extend([sex, time])
+        >>> col
+        AxisCollection([
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
+        ])
+        """
+        # axes should be a sequence
+        if not isinstance(axes, (tuple, list, AxisCollection)):
+            raise TypeError("AxisCollection can only be extended by a "
+                            "sequence of Axis, not %s" % type(axes).__name__)
+        # check that common axes are the same
+        # if validate:
+        #     self.check_compatible(axes)
+
+        # TODO: factorize with get_by_pos
+        def get_axis(col, i, axis):
+            if axis in col:
+                return col[axis]
+            elif axis.name is None and i in col:
+                return col[i]
+            else:
+                return None
+
+        for i, axis in enumerate(axes):
+            old_axis = get_axis(self, i, axis)
+            if old_axis is None:
+                # append axis
+                self[len(self):len(self)] = [axis]
+            # elif replace_wildcards and old_axis.iswildcard:
+            #     self[old_axis] = axis
+            else:
+                # check that common axes are the same
+                if validate and not old_axis.iscompatible(axis):
+                    raise ValueError("incompatible axes:\n%r\nvs\n%r"
+                                     % (axis, old_axis))
+                if replace_wildcards and old_axis.iswildcard:
+                    self[old_axis] = axis
+
+    def index(self, axis):
+        """
+        Returns the index of axis.
+
+        `axis` can be a name or an Axis object (or an index).
+        If the Axis object itself exists in the list, index() will return it.
+        Otherwise, it will return the index of the local axis with the same
+        name than the key (whether it is compatible or not).
+
+        Parameters
+        ----------
+        axis : Axis or int or str
+            Can be the axis itself or its position (returned if represents a valid index)
+            or its name.
+
+        Returns
+        -------
+        int
+            Index of the axis.
+
+        Raises
+        ------
+        ValueError
+            Raised if the axis is not present.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.index(time)
+        2
+        >>> col.index('sex')
+        1
+        """
+        if isinstance(axis, int):
+            if -len(self) <= axis < len(self):
+                return axis
+            else:
+                raise ValueError("axis %d is not in collection" % axis)
+        elif isinstance(axis, Axis):
+            try:
+                # first look by id. This avoids testing labels of each axis
+                # and makes sure the result is correct even if there are
+                # several axes with no name and the same labels.
+                return index_by_id(self._list, axis)
+            except ValueError:
+                name = axis.name
+        else:
+            name = axis
+        if name is None:
+            raise ValueError("%r is not in collection" % axis)
+        return self.names.index(name)
+
+    # XXX: we might want to return a new AxisCollection (same question for
+    # other inplace operations: append, extend, pop, __delitem__, __setitem__)
+    def insert(self, index, axis):
+        """
+        Inserts axis before index.
+
+        Parameters
+        ----------
+        index : int
+            position of the inserted axis.
+        axis : Axis
+            axis to insert.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> col = AxisCollection([age, time])
+        >>> col.insert(1, sex)
+        >>> col
+        AxisCollection([
+            Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], 'age'),
+            Axis(['M', 'F'], 'sex'),
+            Axis([2007, 2008, 2009, 2010], 'time')
+        ])
+        """
+        self[index:index] = [axis]
+
+    def copy(self):
+        """
+        Returns a copy.
+        """
+        return self[:]
+
+    def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
+        """Replace one, several or all axes of the collection.
+
+        Parameters
+        ----------
+        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+                          or list of Axis or AxisCollection
+            Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
+            If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
+            In that case, the number of new axes must match the number of the old ones.
+        new_axis : axis ref, optional
+            New axis if `axes_to_replace` contains a single axis reference.
+        inplace : bool, optional
+            Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
+            Defaults to False.
+        **kwargs : Axis
+            New axis for each axis to replace given as a keyword argument.
+
+        Returns
+        -------
+        AxisCollection
+            AxisCollection with axes replaced.
+
+        Examples
+        --------
+        >>> from larray import ndtest, ndrange
+        >>> axes = ndtest((2, 3)).axes
+        >>> axes
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+        >>> row = Axis(['r0', 'r1'], 'row')
+        >>> column = Axis(['c0', 'c1', 'c2'], 'column')
+
+        Replace one axis (second argument `new_axis` must be provided)
+
+        >>> axes.replace(x.a, row)  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace(x.a, "row=r0,r1")
+        AxisCollection([
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+
+        Replace several axes (keywords, list of tuple or dictionary)
+
+        >>> axes.replace(a=row, b=column)  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace(a="row=r0,r1", b="column=c0,c1,c2")  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace([(x.a, row), (x.b, column)])  # doctest: +SKIP
+        >>> # or
+        >>> axes.replace({x.a: row, x.b: column})
+        AxisCollection([
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
+        ])
+
+        Replace all axes (list of axes or AxisCollection)
+
+        >>> axes.replace([row, column])
+        AxisCollection([
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
+        ])
+        >>> arr = ndrange([row, column])
+        >>> axes.replace(arr.axes)
+        AxisCollection([
+            Axis(['r0', 'r1'], 'row'),
+            Axis(['c0', 'c1', 'c2'], 'column')
+        ])
+        """
+        if isinstance(axes_to_replace, (list, AxisCollection)) and \
+                all([isinstance(axis, Axis) for axis in axes_to_replace]):
+            if len(axes_to_replace) != len(self):
+                raise ValueError('{} axes given as argument, expected '
+                                 '{}'.format(len(axes_to_replace), len(self)))
+            axes = axes_to_replace
+        else:
+            axes = self if inplace else self[:]
+            if isinstance(axes_to_replace, dict):
+                items = list(axes_to_replace.items())
+            elif isinstance(axes_to_replace, list):
+                assert all([isinstance(item, tuple) and len(item) == 2 for item in axes_to_replace])
+                items = axes_to_replace[:]
+            elif isinstance(axes_to_replace, (basestring, Axis, int)):
+                items = [(axes_to_replace, new_axis)]
+            else:
+                items = []
+            items += kwargs.items()
+            for old, new in items:
+                axes[old] = new
+        if inplace:
+            return self
+        else:
+            return AxisCollection(axes)
+
+    # XXX: kill this method?
+    def without(self, axes):
+        """
+        Returns a new collection without some axes.
+
+        You can use a comma separated list of names.
+
+        Parameters
+        ----------
+        axes : int, str, Axis or sequence of those
+            Axes to not include in the returned AxisCollection.
+            In case of string, axes are separated by a comma and no whitespace is accepted.
+
+        Returns
+        -------
+        AxisCollection
+            New collection without some axes.
+
+        Notes
+        -----
+        Set operation so axes can contain axes not present in self
+
+        Examples
+        --------
+        >>> age = Axis('age=0..5')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis('time=2015..2017')
+        >>> col = AxisCollection([age, sex, time])
+        >>> col.without([age, sex])
+        AxisCollection([
+            Axis([2015, 2016, 2017], 'time')
+        ])
+        >>> col.without(0)
+        AxisCollection([
+            Axis(['M', 'F'], 'sex'),
+            Axis([2015, 2016, 2017], 'time')
+        ])
+        >>> col.without('sex,time')
+        AxisCollection([
+            Axis([0, 1, 2, 3, 4, 5], 'age')
+        ])
+        """
+        return self - axes
+
+    def __sub__(self, axes):
+        """
+        See Also
+        --------
+        without
+        """
+        if isinstance(axes, basestring):
+            axes = axes.split(',')
+        elif isinstance(axes, (int, Axis)):
+            axes = [axes]
+
+        # only keep indices (as this works for unnamed axes too)
+        to_remove = set(self.index(axis) for axis in axes if axis in self)
+        return AxisCollection([axis for i, axis in enumerate(self)
+                               if i not in to_remove])
+
+    def translate_full_key(self, key):
+        """
+        Translates a label-based key to a positional key.
+
+        Parameters
+        ----------
+        key : tuple
+            A full label-based key.
+            All dimensions must be present and in the correct order.
+
+        Returns
+        -------
+        tuple
+            A full positional key.
+
+        See Also
+        --------
+        Axis.translate
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age,sex,time]).translate_full_key((':', 'F', 2009))
+        (slice(None, None, None), 1, 2)
+        """
+        assert len(key) == len(self)
+        return tuple(axis.translate(axis_key)
+                     for axis_key, axis in zip(key, self))
+
+    @property
+    def labels(self):
+        """
+        Returns the list of labels of the axes.
+
+        Returns
+        -------
+        list
+            List of labels of the axes.
+
+        Examples
+        --------
+        >>> age = Axis(range(10), 'age')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, time]).labels  # doctest: +NORMALIZE_WHITESPACE
+        [array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]),
+         array([2007, 2008, 2009, 2010])]
+        """
+        return [axis.labels for axis in self._list]
+
+    @property
+    def names(self):
+        """
+        Returns the list of (raw) names of the axes.
+
+        Returns
+        -------
+        list
+            List of names of the axes.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, sex, time]).names
+        ['age', 'sex', 'time']
+        """
+        return [axis.name for axis in self._list]
+
+    @property
+    def display_names(self):
+        """
+        Returns the list of (display) names of the axes.
+
+        Returns
+        -------
+        list
+            List of names of the axes.
+            Wildcard axes are displayed with an attached *.
+            Anonymous axes (name = None) are replaced by their position in braces.
+
+        Examples
+        --------
+        >>> a = Axis(['a1', 'a2'], 'a')
+        >>> b = Axis(2, 'b')
+        >>> c = Axis(['c1', 'c2'])
+        >>> d = Axis(3)
+        >>> AxisCollection([a, b, c, d]).display_names
+        ['a', 'b*', '{2}', '{3}*']
+        """
+        def display_name(i, axis):
+            name = axis.name if axis.name is not None else '{%d}' % i
+            return (name + '*') if axis.iswildcard else name
+
+        return [display_name(i, axis) for i, axis in enumerate(self._list)]
+
+    @property
+    def ids(self):
+        """
+        Returns the list of ids of the axes.
+
+        Returns
+        -------
+        list
+            List of ids of the axes.
+
+        See Also
+        --------
+        axis_id
+
+        Examples
+        --------
+        >>> a = Axis(2, 'a')
+        >>> b = Axis(2)
+        >>> c = Axis(2, 'c')
+        >>> AxisCollection([a, b, c]).ids
+        ['a', 1, 'c']
+        """
+        return [axis.name if axis.name is not None else i
+                for i, axis in enumerate(self._list)]
+
+    def axis_id(self, axis):
+        """
+        Returns the id of an axis.
+
+        Returns
+        -------
+        str or int
+            Id of axis, which is its name if defined and its position otherwise.
+
+        Examples
+        --------
+        >>> a = Axis(2, 'a')
+        >>> b = Axis(2)
+        >>> c = Axis(2, 'c')
+        >>> col = AxisCollection([a, b, c])
+        >>> col.axis_id(a)
+        'a'
+        >>> col.axis_id(b)
+        1
+        >>> col.axis_id(c)
+        'c'
+        """
+        axis = self[axis]
+        return axis.name if axis.name is not None else self.index(axis)
+
+    @property
+    def shape(self):
+        """
+        Returns the shape of the collection.
+
+        Returns
+        -------
+        tuple
+            Tuple of lengths of axes.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, sex, time]).shape
+        (20, 2, 4)
+        """
+        return tuple(len(axis) for axis in self._list)
+
+    @property
+    def size(self):
+        """
+        Returns the size of the collection, i.e.
+        the number of elements of the array.
+
+        Returns
+        -------
+        int
+            Number of elements of the array.
+
+        Examples
+        --------
+        >>> age = Axis(range(20), 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, sex, time]).size
+        160
+        """
+        return np.prod(self.shape)
+
+    @property
+    def info(self):
+        """
+        Describes the collection (shape and labels for each axis).
+
+        Returns
+        -------
+        str
+            Description of the AxisCollection (shape and labels for each axis).
+
+        Examples
+        --------
+        >>> age = Axis(20, 'age')
+        >>> sex = Axis('sex=M,F')
+        >>> time = Axis([2007, 2008, 2009, 2010], 'time')
+        >>> AxisCollection([age, sex, time]).info
+        20 x 2 x 4
+         age* [20]: 0 1 2 ... 17 18 19
+         sex [2]: 'M' 'F'
+         time [4]: 2007 2008 2009 2010
+        """
+        lines = [" %s [%d]: %s" % (name, len(axis), axis.labels_summary())
+                 for name, axis in zip(self.display_names, self._list)]
+        shape = " x ".join(str(s) for s in self.shape)
+        return ReprString('\n'.join([shape] + lines))
+
+    # XXX: instead of front_if_spread, we might want to require axes to be contiguous
+    #      (ie the caller would have to transpose axes before calling this)
+    def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False):
+        """Combine several axes into one.
+
+        Parameters
+        ----------
+        axes : tuple, list or AxisCollection of axes, optional
+            axes to combine. Defaults to all axes.
+        sep : str, optional
+            delimiter to use for combining. Defaults to '_'.
+        wildcard : bool, optional
+            whether or not to produce a wildcard axis even if the axes to
+            combine are not. This is much faster, but loose axes labels.
+        front_if_spread : bool, optional
+            whether or not to move the combined axis at the front (it will be
+            the first axis) if the combined axes are not next to each other.
+
+        Returns
+        -------
+        AxisCollection
+            New AxisCollection with combined axes.
+        """
+        axes = self if axes is None else self[axes]
+        axes_indices = [self.index(axis) for axis in axes]
+        diff = np.diff(axes_indices)
+        # combined axes in front
+        if front_if_spread and np.any(diff > 1):
+            combined_axis_pos = 0
+        else:
+            combined_axis_pos = min(axes_indices)
+
+        # all anonymous axes => anonymous combined axis
+        if all(axis.name is None for axis in axes):
+            combined_name = None
+        else:
+            combined_name = sep.join(str(id_) for id_ in axes.ids)
+
+        if wildcard:
+            combined_axis = Axis(axes.size, combined_name)
+        else:
+            # TODO: the combined keys should be objects which display as:
+            # (axis1_label, axis2_label, ...) but which should also store
+            # the axes names)
+            # Q: Should it be the same object as the NDLGroup?/NDKey?
+            # A: yes. On the Pandas backend, we could/should have
+            #    separate axes. On the numpy backend we cannot.
+            if len(axes) == 1:
+                # Q: if axis is a wildcard axis, should the result be a
+                #    wildcard axis (and axes_labels discarded?)
+                combined_labels = axes[0].labels
+            else:
+                combined_labels = [sep.join(str(l) for l in p)
+                                   for p in product(*axes.labels)]
+
+            combined_axis = Axis(combined_labels, combined_name)
+        new_axes = self - axes
+        new_axes.insert(combined_axis_pos, combined_axis)
+        return new_axes
+
+    def split_axis(self, axis, sep='_', names=None, regex=None):
+        """Split one axis and returns a new collection
+
+        Parameters
+        ----------
+        axis : int, str or Axis
+            axis to split. All its labels *must* contain
+            the given delimiter string.
+        sep : str, optional
+            delimiter to use for splitting. Defaults to '_'.
+            When `regex` is provided, the delimiter is only used
+            on `names` if given as one string or on axis name if
+            `names` is None.
+        names : str or list of str, optional
+            names of resulting axes. Defaults to None.
+        regex : str, optional
+            use regex instead of delimiter to split labels.
+            Defaults to None.
+
+        Returns
+        -------
+        AxisCollection
+        """
+        axis = self[axis]
+        axis_index = self.index(axis)
+        if names is None:
+            if sep not in axis.name:
+                raise ValueError('{} not found in axis name ({})'
+                                 .format(sep, axis.name))
+            else:
+                names = axis.name.split(sep)
+        elif isinstance(names, str):
+            if sep not in names:
+                raise ValueError('{} not found in names ({})'
+                                 .format(sep, names))
+            else:
+                names = names.split(sep)
+        else:
+            assert all(isinstance(name, str) for name in names)
+
+        if not regex:
+            # gives us an array of lists
+            split_labels = np.char.split(axis.labels, sep)
+        else:
+            rx = re.compile(regex)
+            split_labels = [rx.match(l).groups() for l in axis.labels]
+        # not using np.unique because we want to keep the original order
+        axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
+        split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, names)]
+        return self[:axis_index] + split_axes + self[axis_index + 1:]
+
+
+class AxisReference(ABCAxisReference, ExprNode, Axis):
+    def __init__(self, name):
+        self.name = name
+        self._labels = None
+        self._iswildcard = False
+
+    def translate(self, key):
+        raise NotImplementedError("an AxisReference (x.) cannot translate "
+                                  "labels")
+
+    def __repr__(self):
+        return 'AxisReference(%r)' % self.name
+
+    def evaluate(self, context):
+        """
+        Parameters
+        ----------
+        context : AxisCollection
+            Use axes from this collection
+        """
+        return context[self]
+
+    # needed because ExprNode.__hash__ (which is object.__hash__)
+    # takes precedence over Axis.__hash__
+    def __hash__(self):
+        return id(self)
+
+
+class AxisReferenceFactory(object):
+    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__):
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
+    def __getattr__(self, key):
+        return AxisReference(key)
+
+    def __getitem__(self, key):
+        return AxisReference(key)
+
+x = AxisReferenceFactory()
+
diff --git a/larray/core/expr.py b/larray/core/expr.py
new file mode 100644
index 000000000..52ed5aab3
--- /dev/null
+++ b/larray/core/expr.py
@@ -0,0 +1,95 @@
+# -*- coding: utf8 -*-
+from __future__ import absolute_import, division, print_function
+
+import sys
+
+
+class ExprNode(object):
+    # method factory
+    def _binop(opname):
+        def opmethod(self, other):
+            return BinaryOp(opname, self, other)
+
+        opmethod.__name__ = '__{}__'.format(opname)
+        return opmethod
+
+    __matmul__ = _binop('matmul')
+    __ror__ = _binop('ror')
+    __or__ = _binop('or')
+    __rxor__ = _binop('rxor')
+    __xor__ = _binop('xor')
+    __rand__ = _binop('rand')
+    __and__ = _binop('and')
+    __rrshift__ = _binop('rrshift')
+    __rshift__ = _binop('rshift')
+    __rlshift__ = _binop('rlshift')
+    __lshift__ = _binop('lshift')
+    __rpow__ = _binop('rpow')
+    __pow__ = _binop('pow')
+    __rdivmod__ = _binop('rdivmod')
+    __divmod__ = _binop('divmod')
+    __rmod__ = _binop('rmod')
+    __mod__ = _binop('mod')
+    __rfloordiv__ = _binop('rfloordiv')
+    __floordiv__ = _binop('floordiv')
+    __rtruediv__ = _binop('rtruediv')
+    __truediv__ = _binop('truediv')
+    if sys.version < '3':
+        __div__ = _binop('div')
+        __rdiv__ = _binop('rdiv')
+    __rmul__ = _binop('rmul')
+    __mul__ = _binop('mul')
+    __rsub__ = _binop('rsub')
+    __sub__ = _binop('sub')
+    __radd__ = _binop('radd')
+    __add__ = _binop('add')
+    __ge__ = _binop('ge')
+    __gt__ = _binop('gt')
+    __ne__ = _binop('ne')
+    __eq__ = _binop('eq')
+    __le__ = _binop('le')
+    __lt__ = _binop('lt')
+
+    def _unaryop(opname):
+        def opmethod(self):
+            return UnaryOp(opname, self)
+
+        opmethod.__name__ = '__{}__'.format(opname)
+        return opmethod
+
+    # unary ops do not need broadcasting so do not need to be overridden
+    __neg__ = _unaryop('neg')
+    __pos__ = _unaryop('pos')
+    __abs__ = _unaryop('abs')
+    __invert__ = _unaryop('invert')
+
+    def evaluate(self, context):
+        raise NotImplementedError()
+
+
+def expr_eval(expr, context):
+    return expr.evaluate(context) if isinstance(expr, ExprNode) else expr
+
+
+class BinaryOp(ExprNode):
+    def __init__(self, op, expr1, expr2):
+        self.op = op
+        self.expr1 = expr1
+        self.expr2 = expr2
+
+    def evaluate(self, context):
+        # TODO: implement eval via numexpr
+        expr1 = expr_eval(self.expr1, context)
+        expr2 = expr_eval(self.expr2, context)
+        return getattr(expr1, '__{}__'.format(self.op))(expr2)
+
+
+class UnaryOp(ExprNode):
+    def __init__(self, op, expr):
+        self.op = op
+        self.expr = expr
+
+    def evaluate(self, context):
+        # TODO: implement eval via numexpr
+        expr = expr_eval(self.expr, context)
+        return getattr(expr, '__{}__'.format(self.op))()
diff --git a/larray/core/group.py b/larray/core/group.py
new file mode 100644
index 000000000..1d8de8e68
--- /dev/null
+++ b/larray/core/group.py
@@ -0,0 +1,1322 @@
+# -*- coding: utf8 -*-
+from __future__ import absolute_import, division, print_function
+
+import re
+import sys
+from itertools import product, chain
+from abc import ABCMeta
+
+import numpy as np
+import pandas as pd
+
+from larray.util.oset import *
+from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary
+
+__all__ = ['LGroup', 'LSet', 'PGroup', 'union']
+
+
+# define abstract base classes to enable isinstance type checking on our objects
+# idea taken from https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/generic.py
+class ABCAxis(object):
+    __metaclass__ = ABCMeta
+
+class ABCAxisReference(ABCAxis):
+    __metaclass__ = ABCMeta
+
+class ABCLArray(object):
+    __metaclass__ = ABCMeta
+
+
+def _slice_to_str(key, repr_func=str):
+    """
+    Converts a slice to a string
+
+    Examples
+    --------
+    >>> _slice_to_str(slice(None))
+    ':'
+    >>> _slice_to_str(slice(24))
+    ':24'
+    >>> _slice_to_str(slice(25, None))
+    '25:'
+    >>> _slice_to_str(slice(5, 10))
+    '5:10'
+    >>> _slice_to_str(slice(None, 5, 2))
+    ':5:2'
+    """
+    # examples of result: ":24" "25:" ":" ":5:2"
+    start = repr_func(key.start) if key.start is not None else ''
+    stop = repr_func(key.stop) if key.stop is not None else ''
+    step = (":" + repr_func(key.step)) if key.step is not None else ''
+    return '%s:%s%s' % (start, stop, step)
+
+
+def irange(start, stop, step=None):
+    """Create a range, with inclusive stop bound and automatic sign for step.
+
+    Parameters
+    ----------
+    start : int
+        Start bound
+    stop : int
+        Inclusive stop bound
+    step : int, optional
+        Distance between two generated numbers. If provided this *must* be a positive integer.
+
+    Returns
+    -------
+    range
+
+    Examples
+    --------
+    >>> list(irange(1, 3))
+    [1, 2, 3]
+    >>> list(irange(2, 0))
+    [2, 1, 0]
+    >>> list(irange(1, 6, 2))
+    [1, 3, 5]
+    >>> list(irange(6, 1, 2))
+    [6, 4, 2]
+    >>> list(irange(-1, 1))
+    [-1, 0, 1]
+    """
+    if step is None:
+        step = 1
+    else:
+        assert step > 0
+    step = step if start <= stop else -step
+    stop = stop + 1 if start <= stop else stop - 1
+    return range(start, stop, step)
+
+
+_range_bound_pattern = re.compile('([0-9]+|[a-zA-Z]+)')
+
+def generalized_range(start, stop, step=1):
+    """Create a range, with inclusive stop bound and automatic sign for step. Bounds can be strings.
+
+    Parameters
+    ----------
+    start : int or str
+        Start bound
+    stop : int or str
+        Inclusive stop bound
+    step : int, optional
+        Distance between two generated numbers. If provided this *must* be a positive integer.
+
+    Returns
+    -------
+    range
+
+    Examples
+    --------
+    works with both number and letter bounds
+
+    >>> list(generalized_range(-1, 2))
+    [-1, 0, 1, 2]
+    >>> generalized_range('a', 'c')
+    ['a', 'b', 'c']
+
+    can generate in reverse
+
+    >>> list(generalized_range(2, 0))
+    [2, 1, 0]
+    >>> generalized_range('c', 'a')
+    ['c', 'b', 'a']
+
+    can combine letters and numbers
+
+    >>> generalized_range('a0', 'c1')
+    ['a0', 'a1', 'b0', 'b1', 'c0', 'c1']
+
+    any special character is left intact
+
+    >>> generalized_range('a_0', 'c_1')
+    ['a_0', 'a_1', 'b_0', 'b_1', 'c_0', 'c_1']
+
+    consecutive digits are treated like numbers
+
+    >>> generalized_range('P01', 'P12')
+    ['P01', 'P02', 'P03', 'P04', 'P05', 'P06', 'P07', 'P08', 'P09', 'P10', 'P11', 'P12']
+
+    consecutive letters create all combinations
+
+    >>> generalized_range('AA', 'CC')
+    ['AA', 'AB', 'AC', 'BA', 'BB', 'BC', 'CA', 'CB', 'CC']
+    """
+    if isinstance(start, str):
+        assert isinstance(stop, str)
+        start_parts = _range_bound_pattern.split(start)
+        stop_parts = _range_bound_pattern.split(stop)
+        assert len(start_parts) == len(stop_parts)
+        ranges = []
+        for start_part, stop_part in zip(start_parts, stop_parts):
+            # we only handle non-negative int-like strings on purpose. Int-only bounds should already be converted to
+            # real integers by now, and mixing negative int-like strings and letters yields some strange results.
+            if start_part.isdigit():
+                assert stop_part.isdigit()
+                numchr = max(len(start_part), len(stop_part))
+                r = ['%0*d' % (numchr, num) for num in irange(int(start_part), int(stop_part))]
+            elif start_part.isalpha():
+                assert stop_part.isalpha()
+                int_start = [ord(c) for c in start_part]
+                int_stop = [ord(c) for c in stop_part]
+                sranges = [[chr(c) for c in irange(r_start, r_stop) if chr(c).isalnum()]
+                           for r_start, r_stop in zip(int_start, int_stop)]
+                r = [''.join(p) for p in product(*sranges)]
+            else:
+                # special characters
+                assert start_part == stop_part
+                r = [start_part]
+            ranges.append(r)
+        res = [''.join(p) for p in product(*ranges)]
+        return res if step == 1 else res[::step]
+    else:
+        return irange(start, stop, step)
+
+
+_range_str_pattern = re.compile('(?P<start>[^\s.]+)?\s*\.\.\s*(?P<stop>[^\s.]+)?(\s+step\s+(?P<step>\d+))?')
+
+
+def _range_str_to_range(s):
+    """
+    Converts a range string to a range (of values).
+    The end point is included.
+
+    Parameters
+    ----------
+    s : str
+        String representing a range of values
+
+    Returns
+    -------
+    range
+        range of int or list of str.
+
+    Examples
+    --------
+    >>> list(_range_str_to_range('-1..2'))
+    [-1, 0, 1, 2]
+    >>> _range_str_to_range('a..c')
+    ['a', 'b', 'c']
+    >>> list(_range_str_to_range('2..6 step 2'))
+    [2, 4, 6]
+
+    any special character except . and spaces should work
+    >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
+    ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
+    """
+    m = _range_str_pattern.match(s)
+
+    groups = m.groupdict()
+    start, stop, step = groups['start'], groups['stop'], groups['step']
+    start = _parse_bound(start) if start is not None else 0
+    if stop is None:
+        raise ValueError("no stop bound provided in range: %r" % s)
+    stop = _parse_bound(stop)
+    step = int(step) if step is not None else 1
+    return generalized_range(start, stop, step)
+
+
+def _range_to_slice(seq, length=None):
+    """
+    Returns a slice if possible (including for sequences of 1 element)
+    otherwise returns the input sequence itself
+
+    Parameters
+    ----------
+    seq : sequence-like of int
+        List, tuple or ndarray of integers representing the range.
+        It should be something like [start, start+step, start+2*step, ...]
+    length : int, optional
+        length of sequence of positions.
+        This is only useful when you must be able to transform decreasing
+        sequences which can stop at 0.
+
+    Returns
+    -------
+    slice or sequence-like
+        return the input sequence if a slice cannot be defined
+
+    Examples
+    --------
+    >>> _range_to_slice([3, 4, 5])
+    slice(3, 6, None)
+    >>> _range_to_slice([3, 5, 7])
+    slice(3, 9, 2)
+    >>> _range_to_slice([-3, -2])
+    slice(-3, -1, None)
+    >>> _range_to_slice([-1, -2])
+    slice(-1, -3, -1)
+    >>> _range_to_slice([2, 1])
+    slice(2, 0, -1)
+    >>> _range_to_slice([1, 0], 4)
+    slice(-3, -5, -1)
+    >>> _range_to_slice([1, 0])
+    [1, 0]
+    >>> _range_to_slice([1])
+    slice(1, 2, None)
+    >>> _range_to_slice([])
+    []
+    """
+    if len(seq) < 1:
+        return seq
+    start = seq[0]
+    if len(seq) == 1:
+        return slice(start, start + 1)
+    second = seq[1]
+    step = second - start
+    prev_value = second
+    for value in seq[2:]:
+        if value != prev_value + step:
+            return seq
+        prev_value = value
+    stop = prev_value + step
+    if prev_value == 0 and step < 0:
+        if length is None:
+            return seq
+        else:
+            stop -= length
+            start -= length
+    if step == 1:
+        step = None
+    return slice(start, stop, step)
+
+
+def _is_object_array(array):
+    return isinstance(array, np.ndarray) and array.dtype.type == np.object_
+
+
+def _can_have_groups(seq):
+    return _is_object_array(seq) or isinstance(seq, (tuple, list))
+
+
+def _contain_group_ticks(ticks):
+    return _can_have_groups(ticks) and any(isinstance(tick, Group) for tick in ticks)
+
+
+def _seq_group_to_name(seq):
+    if _can_have_groups(seq):
+        return [v.name if isinstance(v, Group) else v for v in seq]
+    else:
+        return seq
+
+
+def _to_tick(v):
+    """
+    Converts any value to a tick (ie makes it hashable, and acceptable as an ndarray element)
+
+    scalar -> not modified
+    slice -> 'start:stop'
+    list|tuple -> 'v1,v2,v3'
+    Group with name -> v.name
+    Group without name -> _to_tick(v.key)
+    other -> str(v)
+
+    Parameters
+    ----------
+    v : any
+        value to be converted.
+
+    Returns
+    -------
+    any scalar
+        scalar representing the tick
+    """
+    # the fact that an "aggregated tick" is passed as a LGroup or as a
+    # string should be as irrelevant as possible. The thing is that we cannot
+    # (currently) use the more elegant _to_tick(e.key) that means the
+    # LGroup is not available in Axis.__init__ after to_ticks, and we
+    # need it to update the mapping if it was named. Effectively,
+    # this creates two entries in the mapping for a single tick. Besides,
+    # I like having the LGroup as the tick, as it provides extra info as
+    # to where it comes from.
+    if np.isscalar(v):
+        return v
+    elif isinstance(v, Group):
+        return v.name if v.name is not None else _to_tick(v.to_label())
+    elif isinstance(v, slice):
+        return _slice_to_str(v)
+    elif isinstance(v, (tuple, list)):
+        if len(v) == 1:
+            return str(v) + ','
+        else:
+            # TODO: it would be nicer/saner to use n=1, sep='' but this currently breaks at lot of tests
+            return _seq_summary(v, n=1000, repr_func=str, sep=',')
+    else:
+        return str(v)
+
+
+def _to_ticks(s):
+    """
+    Makes a (list of) value(s) usable as the collection of labels for an
+    Axis (ie hashable). Strip strings, split them on ',' and translate
+    "range strings" to list of values **including the end point** !
+
+    Parameters
+    ----------
+    s : iterable
+        List of values usable as the collection of labels for an Axis.
+
+    Returns
+    -------
+    collection of labels
+
+    Notes
+    -----
+    This function is only used in Axis.__init__ and union().
+
+    Examples
+    --------
+    >>> _to_ticks('M , F')
+    ['M', 'F']
+
+    >>> list(_to_ticks('..3'))
+    [0, 1, 2, 3]
+    """
+    if isinstance(s, Group):
+        # a single LGroup used for all ticks of an Axis
+        return _to_ticks(s.eval())
+    elif isinstance(s, pd.Index):
+        return s.values
+    elif isinstance(s, np.ndarray):
+        # we assume it has already been translated
+        # XXX: Is it a safe assumption?
+        return s
+    elif isinstance(s, (list, tuple)):
+        return [_to_tick(e) for e in s]
+    elif sys.version >= '3' and isinstance(s, range):
+        return list(s)
+    elif isinstance(s, basestring):
+        if ':' in s:
+            raise ValueError("using : to define axes is deprecated, please use .. instead")
+        elif '..' in s:
+            return _range_str_to_range(s)
+        else:
+            return [v.strip() for v in s.split(',')]
+    elif hasattr(s, '__array__'):
+        return s.__array__()
+    else:
+        try:
+            return list(s)
+        except TypeError:
+            raise TypeError("ticks must be iterable (%s is not)" % type(s))
+
+
+_axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
+
+
+def _to_key(v, stack_depth=1, parse_single_int=False):
+    """
+    Converts a value to a key usable for indexing (slice object, list of values,...).
+    Strings are split on ',' and stripped. Colons (:) are interpreted as slices.
+
+    Parameters
+    ----------
+    v : int or basestring or tuple or list or slice or LArray or Group
+        value to convert into a key usable for indexing
+
+    Returns
+    -------
+    key
+        a key represents any object that can be used for indexing
+
+    Examples
+    --------
+    >>> _to_key('a:c')
+    slice('a', 'c', None)
+    >>> _to_key('a, b,c ,')
+    ['a', 'b', 'c']
+    >>> _to_key('a,')
+    ['a']
+    >>> _to_key(' a ')
+    'a'
+    >>> _to_key(10)
+    10
+    >>> _to_key('10')
+    '10'
+    >>> _to_key('10:20')
+    slice(10, 20, None)
+    >>> _to_key(slice('10', '20'))
+    slice('10', '20', None)
+    >>> _to_key('year.i[-1]')
+    year.i[-1]
+    >>> _to_key('age[10:19]>>teens')
+    age[10:19] >> 'teens'
+    >>> _to_key('a,b,c >> abc')
+    LGroup(['a', 'b', 'c']) >> 'abc'
+    >>> _to_key('a:c >> abc')
+    LGroup(slice('a', 'c', None)) >> 'abc'
+
+    # evaluated variables do not work on Python 2, probably because the stackdepth is different
+    # >>> ext = [1, 2, 3]
+    # >>> _to_key('{ext} >> ext')
+    # LGroup([1, 2, 3], name='ext')
+    # >>> answer = 42
+    # >>> _to_key('{answer}')
+    # 42
+    # >>> _to_key('{answer} >> answer')
+    # LGroup(42, name='answer')
+    # >>> _to_key('10:{answer} >> answer')
+    # LGroup(slice(10, 42, None), name='answer')
+    # >>> _to_key('4,{answer},2 >> answer')
+    # LGroup([4, 42, 2], name='answer')
+    """
+    if isinstance(v, tuple):
+        return list(v)
+    elif isinstance(v, basestring):
+        # axis name
+        m = _axis_name_pattern.match(v)
+        _, axis, positional, key = m.groups()
+        # group name. using rfind in the unlikely case there is another >>
+        name_pos = key.rfind('>>')
+        name = None
+        if name_pos != -1:
+            key, name = key[:name_pos].strip(), key[name_pos + 2:].strip()
+        if axis is not None:
+            axis = axis.strip()
+            axis_bracket_open = m.end(1) - 1
+            # check that the string parentheses are correctly balanced
+            _ = find_closing_chr(v, axis_bracket_open)
+            # strip closing bracket (it should be at the end because we took
+            # care of the name earlier)
+            assert key[-1] == ']'
+            key = key[:-1]
+        cls = PGroup if positional else LGroup
+        if name is not None or axis is not None:
+            key = _to_key(key, stack_depth + 1, parse_single_int=positional)
+            return cls(key, name=name, axis=axis)
+        else:
+            numcolons = v.count(':')
+            if numcolons:
+                assert numcolons <= 2
+                # bounds can be of len 2 or 3 (if step is provided)
+                # stack_depth + 2 because the list comp has its own stack
+                bounds = [_parse_bound(b, stack_depth + 2)
+                          for b in v.split(':')]
+                return slice(*bounds)
+            else:
+                if ',' in v:
+                    # strip extremity commas to avoid empty string keys
+                    v = v.strip(',')
+                    # stack_depth + 2 because the list comp has its own stack
+                    return [_parse_bound(b, stack_depth + 2)
+                            for b in v.split(',')]
+                else:
+                    return _parse_bound(v, stack_depth + 1, parse_int=parse_single_int)
+    elif v is Ellipsis or np.isscalar(v) or isinstance(v, (Group, slice, list, np.ndarray, ABCLArray, OrderedSet)):
+        return v
+    else:
+        raise TypeError("%s has an invalid type (%s) for a key"
+                        % (v, type(v).__name__))
+
+
+def _to_keys(value, stack_depth=1):
+    """
+    Converts a (collection of) group(s) to a structure usable for indexing.
+    'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
+
+    Parameters
+    ----------
+    value : int or basestring or tuple or list or slice or LArray or Group
+        (collection of) value(s) to convert into key(s) usable for indexing
+
+    Returns
+    -------
+    list of keys
+
+    Examples
+    --------
+    It is only used for .sum(axis=xxx)
+    >>> _to_keys('P01,P02')  # <-- one group => collapse dimension
+    ['P01', 'P02']
+    >>> _to_keys(('P01,P02',))  # <-- do not collapse dimension
+    (['P01', 'P02'],)
+    >>> _to_keys('P01;P02,P03;:')
+    ('P01', ['P02', 'P03'], slice(None, None, None))
+
+    # evaluated variables do not work on Python 2, probably because the stack depth is different
+    # >>> ext = 'P03'
+    # >>> to_keys('P01,P02,{ext}')
+    # ['P01', 'P02', 'P03']
+    # >>> to_keys('P01;P02;{ext}')
+    # ('P01', 'P02', 'P03')
+
+    >>> _to_keys('age[10:19] >> teens ; year.i[-1]')
+    (age[10:19] >> 'teens', year.i[-1])
+
+    # >>> to_keys('P01,P02,:') # <-- INVALID !
+    # it should have an explicit failure
+
+    # we allow this, even though it is a dubious syntax
+    >>> _to_keys(('P01', 'P02', ':'))
+    ('P01', 'P02', slice(None, None, None))
+
+    # it is better to use explicit groups
+    >>> _to_keys(('P01,', 'P02,', ':'))
+    (['P01'], ['P02'], slice(None, None, None))
+
+    # or even the ugly duck...
+    >>> _to_keys((('P01',), ('P02',), ':'))
+    (['P01'], ['P02'], slice(None, None, None))
+    """
+    if isinstance(value, basestring) and ';' in value:
+        value = tuple(value.split(';'))
+
+    if isinstance(value, tuple):
+        # stack_depth + 2 because the list comp has its own stack
+        return tuple([_to_key(group, stack_depth + 2) for group in value])
+    else:
+        return _to_key(value, stack_depth + 1)
+
+
+def union(*args):
+    # TODO: add support for LGroup and lists
+    """
+    Returns the union of several "value strings" as a list.
+
+    Parameters
+    ----------
+    *args
+        (collection of) value(s) to be converted into label(s).
+        Repeated values are taken only once.
+
+    Returns
+    -------
+    list of labels
+
+    Examples
+    --------
+    >>> union('a', 'a, b, c, d', ['d', 'e', 'f'], '..2')
+    ['a', 'b', 'c', 'd', 'e', 'f', 0, 1, 2]
+    """
+    if args:
+        return list(unique(chain(*(_to_ticks(arg) for arg in args))))
+    else:
+        return []
+
+
+class PGroupMaker(object):
+    """
+    Generates a new instance of PGroup for a given axis and key.
+
+    Attributes
+    ----------
+    axis : Axis
+        an axis.
+
+    Notes
+    -----
+    This class is used by the method `Axis.i`
+    """
+    def __init__(self, axis):
+        assert isinstance(axis, ABCAxis)
+        self.axis = axis
+
+    def __getitem__(self, key):
+        return PGroup(key, None, self.axis)
+
+
+# We need a separate class for LGroup and cannot simply create a
+# new Axis with a subset of values/ticks/labels: the subset of
+# ticks/labels of the LGroup need to correspond to its *Axis*
+# indices
+class Group(object):
+    """Abstract Group.
+    """
+    format_string = None
+
+    def __init__(self, key, name=None, axis=None):
+        if isinstance(key, tuple):
+            key = list(key)
+        if isinstance(key, Group):
+            key = key.to_label()
+        self.key = remove_nested_groups(key)
+
+        # we do NOT assign a name automatically when missing because that
+        # makes it impossible to know whether a name was explicitly given or
+        # not
+        self.name = name
+        assert axis is None or isinstance(axis, (basestring, int, ABCAxis)), \
+            "invalid axis '%s' (%s)" % (axis, type(axis).__name__)
+
+        # we could check the key is valid but this can be slow and could be
+        # useless
+        # TODO: for performance reasons, we should cache the result. This will
+        # need to be invalidated correctly
+        # axis.translate(key)
+
+        # we store the Axis object and not its name like we did previously
+        # so that groups on anonymous axes are more meaningful and that we
+        # can iterate on a slice of an axis (an LGroup). The reason to store
+        # the name instead of the object was to make sure that a Group from an
+        # axis (or without axis) could be used on another axis with the same
+        # name. See test_array.py:test_...
+        self.axis = axis
+
+    def __repr__(self):
+        key = self.key
+
+        # eval only returns a slice for groups without an Axis object
+        if isinstance(key, slice):
+            key_repr = _slice_to_str(key, repr_func=repr)
+        elif isinstance(key, (tuple, list, np.ndarray, OrderedSet)):
+            key_repr = _seq_summary(key, n=1000, repr_func=repr, sep=', ')
+        else:
+            key_repr = repr(key)
+
+        axis_name = self.axis.name if isinstance(self.axis, ABCAxis) else self.axis
+        if axis_name is not None:
+            axis_name = 'x.{}'.format(axis_name) if isinstance(self.axis, ABCAxisReference) else axis_name
+            s = self.format_string.format(axis=axis_name, key=key_repr)
+        else:
+            if self.axis is not None:
+                # anonymous axis
+                axis_ref = ', axis={}'.format(repr(self.axis))
+            else:
+                axis_ref = ''
+            if isinstance(key, slice):
+                key_repr = repr(key)
+            elif isinstance(key, list):
+                key_repr = '[{}]'.format(key_repr)
+            s = '{}({}{})'.format(self.__class__.__name__, key_repr, axis_ref)
+        return "{} >> {}".format(s, repr(self.name)) if self.name is not None else s
+
+    def __str__(self):
+        return str(self.eval())
+
+    # TODO: rename to "to_positional"
+    def translate(self, bound=None, stop=False):
+        """
+        Translate key to a position if it is not already
+
+        Parameters
+        ----------
+        bound : any, optional
+        stop : bool, optional
+
+        Returns
+        -------
+        int-based key (single int, slice of int or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def eval(self):
+        """
+        Translate key to labels, if it is not already, expanding slices in the process.
+
+        Returns
+        -------
+        label-based key (single scalar or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def to_label(self):
+        """
+        Translate key to labels, if it is not already
+
+        Returns
+        -------
+        label-based key (single scalar, slice of scalars or tuple/list/array of them)
+        """
+        raise NotImplementedError()
+
+    def retarget_to(self, target_axis):
+        """
+        Retarget group to another axis. Potentially translating it to label using its former axis.
+
+        Returns
+        -------
+        Group
+        """
+        raise NotImplementedError()
+
+    def __len__(self):
+        # XXX: we probably want to_label instead of .eval (so that we do not expand slices)
+        value = self.eval()
+        # for some reason this breaks having LGroup ticks/labels on an axis
+        if hasattr(value, '__len__'):
+        # if isinstance(value, (tuple, list, LArray, np.ndarray, str)):
+            return len(value)
+        elif isinstance(value, slice):
+            start, stop, key_step = value.start, value.stop, value.step
+            # not using stop - start because that does not work for string
+            # bounds (and it is different for LGroup & PGroup)
+            start_pos = self.translate(start)
+            stop_pos = self.translate(stop)
+            return stop_pos - start_pos
+        else:
+            raise TypeError('len() of unsized object ({})'.format(value))
+
+    def __iter__(self):
+        # XXX: use translate/PGroup instead, so that it works even in the presence of duplicate labels
+        #      possibly, only if axis is set?
+        return iter([LGroup(v, axis=self.axis) for v in self.eval()])
+
+    def named(self, name):
+        """Returns group with a different name.
+
+        Parameters
+        ----------
+        name : str
+            new name for group
+
+        Returns
+        -------
+        Group
+        """
+        return self.__class__(self.key, name, self.axis)
+    __rshift__ = named
+
+    def with_axis(self, axis):
+        """Returns group with a different axis.
+
+        Parameters
+        ----------
+        axis : int, str, Axis
+            new axis for group
+
+        Returns
+        -------
+        Group
+        """
+        return self.__class__(self.key, self.name, axis)
+
+    def by(self, length, step=None):
+        """Split group into several groups of specified length.
+
+        Parameters
+        ----------
+        length : int
+            length of new groups
+        step : int, optional
+            step between groups. Defaults to length.
+
+        Notes
+        -----
+        step can be smaller than length, in which case, this will produce
+        overlapping groups.
+
+        Returns
+        -------
+        list of Group
+
+        Examples
+        --------
+        >>> from larray import Axis, x
+        >>> age = Axis(range(10), 'age')
+        >>> age[[1, 2, 3, 4, 5]].by(2)
+        (age[1, 2], age[3, 4], age[5])
+        >>> age[1:5].by(2)
+        (age.i[1:3], age.i[3:5], age.i[5:6])
+        >>> age[1:5].by(2, 4)
+        (age.i[1:3], age.i[5:6])
+        >>> age[1:5].by(3, 2)
+        (age.i[1:4], age.i[3:6], age.i[5:6])
+        >>> x.age[[0, 1, 2, 3, 4]].by(2)
+        (x.age[0, 1], x.age[2, 3], x.age[4])
+        """
+        if step is None:
+            step = length
+        return tuple(self[start:start + length]
+                     for start in range(0, len(self), step))
+
+    # TODO: __getitem__ should work by label and .i[] should work by
+    # position. I guess it would be more consistent this way even if the
+    # usefulness of subsetting a group with labels is dubious (but
+    # it is sometimes practical to treat the group as if it was an axis).
+    # >>> vla = geo['...']
+    # >>> # first 10 regions of flanders (this could have some use)
+    # >>> vla.i[:10]  # => PGroup on geo
+    # >>> vla["antwerp", "gent"]  # => LGroup on geo
+
+    # LGroup[] => LGroup
+    # PGroup[] => LGroup
+    # PGroup.i[] => PGroup
+    # LGroup.i[] => PGroup
+    def __getitem__(self, key):
+        """
+
+        Parameters
+        ----------
+        key : int, slice of int or list of int
+            position-based key (even for LGroup)
+
+        Returns
+        -------
+        Group
+        """
+        cls = self.__class__
+        orig_key = self.key
+        # XXX: unsure we should support tuple
+        if isinstance(orig_key, (tuple, list)):
+            return cls(orig_key[key], None, self.axis)
+        elif isinstance(orig_key, slice):
+            orig_start, orig_stop, orig_step = \
+                orig_key.start, orig_key.stop, orig_key.step
+            if orig_step is None:
+                orig_step = 1
+
+            orig_start_pos = self.translate(orig_start) if orig_start is not None else 0
+            if isinstance(key, slice):
+                key_start, key_stop, key_step = key.start, key.stop, key.step
+                if key_step is None:
+                    key_step = 1
+
+                orig_stop_pos = self.translate(orig_stop, stop=True) if orig_stop is not None else len(self)
+                new_start = orig_start_pos + key_start * orig_step
+                new_stop = min(orig_start_pos + key_stop * orig_step,
+                               orig_stop_pos)
+                new_step = orig_step * key_step
+                if new_step == 1:
+                    new_step = None
+                return PGroup(slice(new_start, new_stop, new_step), None,
+                              self.axis)
+            elif isinstance(key, int):
+                return PGroup(orig_start_pos + key * orig_step, None, self.axis)
+            elif isinstance(key, (tuple, list)):
+                return PGroup([orig_start_pos + k * orig_step for k in key],
+                              None, self.axis)
+        elif isinstance(orig_key, ABCLArray):
+            return cls(orig_key.i[key], None, self.axis)
+        elif isinstance(orig_key, int):
+            # give the opportunity to subset the label/key itself (for example for string keys)
+            value = self.eval()
+            return value[key]
+        else:
+            raise TypeError("cannot take a subset of {} because it has a "
+                            "'{}' key".format(self.key, type(self.key)))
+
+    # method factory
+    def _binop(opname):
+        op_fullname = '__%s__' % opname
+
+        # TODO: implement this in a delayed fashion for reference axes
+        if PY2:
+            # workaround the fact slice objects do not have any __binop__ methods defined on Python2 (even though
+            # the actual operations work on them).
+            def opmethod(self, other):
+                self_value = self.eval()
+                other_value = other.eval() if isinstance(other, Group) else other
+                if isinstance(self_value, slice):
+                    if not isinstance(other_value, slice):
+                        return False
+                    self_value = (self_value.start, self_value.stop, self_value.step)
+                    other_value = (other_value.start, other_value.stop, other_value.step)
+                return getattr(self_value, op_fullname)(other_value)
+        else:
+            def opmethod(self, other):
+                other_value = other.eval() if isinstance(other, Group) else other
+                return getattr(self.eval(), op_fullname)(other_value)
+
+        opmethod.__name__ = op_fullname
+        return opmethod
+
+    __matmul__ = _binop('matmul')
+    __ror__ = _binop('ror')
+    __or__ = _binop('or')
+    __rxor__ = _binop('rxor')
+    __xor__ = _binop('xor')
+    __rand__ = _binop('rand')
+    __and__ = _binop('and')
+    __rpow__ = _binop('rpow')
+    __pow__ = _binop('pow')
+    __rdivmod__ = _binop('rdivmod')
+    __divmod__ = _binop('divmod')
+    __rmod__ = _binop('rmod')
+    __mod__ = _binop('mod')
+    __rfloordiv__ = _binop('rfloordiv')
+    __floordiv__ = _binop('floordiv')
+    __rtruediv__ = _binop('rtruediv')
+    __truediv__ = _binop('truediv')
+    if sys.version < '3':
+        __div__ = _binop('div')
+        __rdiv__ = _binop('rdiv')
+    __rmul__ = _binop('rmul')
+    __mul__ = _binop('mul')
+    __rsub__ = _binop('rsub')
+    __sub__ = _binop('sub')
+    __radd__ = _binop('radd')
+    __add__ = _binop('add')
+
+    __ge__ = _binop('ge')
+    __gt__ = _binop('gt')
+    __le__ = _binop('le')
+    __lt__ = _binop('lt')
+
+    # having ne and eq use .eval on a slice group creates an ndarray, for which __eq__ does not return a single value,
+    # which means, it cannot be in a mapping/Axis, but this is no longer a problem, since we do not create axes with
+    # LGroup labels anymore anyway
+    __ne__ = _binop('ne')
+    __eq__ = _binop('eq')
+
+    def set(self):
+        """Creates LSet from this group
+
+        Returns
+        -------
+        LSet
+        """
+        return LSet(self.eval(), self.name, self.axis)
+
+    def union(self, other):
+        """Returns (set) union of this label group and other.
+
+        Labels relative order will be kept intact, but only unique labels will be returned. Labels from this group will
+        be before labels from other.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].union(letters['b', 'c'])
+        letters['a', 'b', 'c'].set()
+        >>> letters['a', 'b'].union(['b', 'c'])
+        letters['a', 'b', 'c'].set()
+        """
+        return self.set().union(other)
+
+    def intersection(self, other):
+        """Returns (set) intersection of this label group and other.
+
+        In other words, this will return labels from this group which are also in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].intersection(letters['b', 'c'])
+        letters['b'].set()
+        >>> letters['a', 'b'].intersection(['b', 'c'])
+        letters['b'].set()
+        """
+        return self.set().intersection(other)
+
+    def difference(self, other):
+        """Returns (set) difference of this label group and other.
+
+        In other words, this will return labels from this group without those in other. Labels relative order will be
+        kept intact, but only unique labels will be returned.
+
+        Parameters
+        ----------
+        other : Group or any sequence of labels
+            other labels
+
+        Returns
+        -------
+        LSet
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> letters = Axis('letters=a..d')
+        >>> letters['a', 'b'].difference(letters['b', 'c'])
+        letters['a'].set()
+        >>> letters['a', 'b'].difference(['b', 'c'])
+        letters['a'].set()
+        """
+        return self.set().difference(other)
+
+    def __contains__(self, item):
+        if isinstance(item, Group):
+            item = item.eval()
+        return item in self.eval()
+
+    # this makes range(LGroup(int)) possible
+    def __index__(self):
+        return self.eval().__index__()
+
+    def __int__(self):
+        return self.eval().__int__()
+
+    def __float__(self):
+        return self.eval().__float__()
+
+    def __array__(self, dtype=None):
+        return np.asarray(self.eval(), dtype=dtype)
+
+    def __dir__(self):
+        # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
+        # dir() takes care of sorting but not uniqueness, so we must ensure that.
+        return list(set(dir(self.eval())) | set(dir(self.__class__)))
+
+    def __getattr__(self, key):
+        if key == '__array_struct__':
+            raise AttributeError("'Group' object has no attribute '__array_struct__'")
+        else:
+            return getattr(self.eval(), key)
+
+    def __hash__(self):
+        # to_tick & to_key are partially opposite operations but this
+        # standardize on a single notation so that they can all target each
+        # other. eg, this removes spaces in "list strings", instead of
+        # hashing them directly
+        # XXX: but we might want to include that normalization feature in
+        #      to_tick directly, instead of using to_key explicitly here
+        # XXX: we might want to make hash use the position along the axis instead of the labels so that if an
+        #      axis has ambiguous labels, they do not hash to the same thing.
+        # XXX: for performance reasons, I think hash should not evaluate slices. It should only translate pos bounds to
+        #      labels or vice versa. We would loose equality between list Groups and equivalent slice groups but that
+        #      is a small price to pay if the performance impact is large.
+        # the problem with using self.translate() is that we cannot compare groups without axis
+        # return hash(_to_tick(self.translate()))
+        return hash(_to_tick(self.key))
+
+
+def remove_nested_groups(key):
+    # "struct" key with Group elements -> key without Group
+    # TODO: ideally if all key elements are groups on the same Axis, we should make a group on that axis
+    #       for slice bounds, watch out for None
+    if isinstance(key, slice):
+        key_start, key_stop = key.start, key.stop
+        start = key_start.to_label() if isinstance(key_start, Group) else key_start
+        stop = key_stop.to_label() if isinstance(key_stop, Group) else key_stop
+        return slice(start, stop, key.step)
+    elif isinstance(key, (tuple, list)):
+        res = [k.to_label() if isinstance(k, Group) else k for k in key]
+        return tuple(res) if isinstance(key, tuple) else res
+    else:
+        return key
+
+
+class LGroup(Group):
+    """Label group.
+
+    Represents a subset of labels of an axis.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : str, optional
+        Name of the group.
+    axis : int, str, Axis, optional
+        Axis for group.
+
+    Examples
+    --------
+    >>> from larray import Axis, x
+    >>> age = Axis('age', '0..100')
+    >>> teens = x.age[10:19].named('teens')
+    >>> teens
+    x.age[10:19] >> 'teens'
+    >>> teens = x.age[10:19] >> 'teens'
+    >>> teens
+    x.age[10:19] >> 'teens'
+    """
+    format_string = "{axis}[{key}]"
+
+    def __init__(self, key, name=None, axis=None):
+        key = _to_key(key)
+        Group.__init__(self, key, name, axis)
+
+    #XXX: return PGroup instead?
+    def translate(self, bound=None, stop=False):
+        """
+        compute position(s) of group
+        """
+        if bound is None:
+            bound = self.key
+        if isinstance(self.axis, ABCAxis):
+            pos = self.axis.translate(bound)
+            return pos + int(stop) if np.isscalar(pos) else pos
+        else:
+            raise ValueError("Cannot translate an LGroup without axis")
+
+    def to_label(self):
+        return self.key
+
+    def eval(self):
+        if isinstance(self.key, slice):
+            if isinstance(self.axis, ABCAxis):
+                # expand slices
+                return self.axis.labels[self.translate()]
+            else:
+                return self.key
+                # raise ValueError("Cannot evaluate a slice group without axis")
+        else:
+            # we do not check the group labels are actually valid on Axis
+            return self.key
+
+    def retarget_to(self, target_axis):
+        # TODO: it would be nice to check the labels actually exist on the new axis (if it is a real Axis)
+        #       however, I am unsure we can afford to do this by default (for performance reasons)
+        return LGroup(self.key, self.name, target_axis)
+
+
+class LSet(LGroup):
+    """Label set.
+
+    Represents a set of (unique) labels of an axis.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either sequence of labels, a slice with label bounds or a string.
+    name : str, optional
+        Name of the set.
+    axis : int, str, Axis, optional
+        Axis for set.
+
+    Examples
+    --------
+    >>> from larray import Axis
+    >>> letters = Axis('letters=a..z')
+    >>> abc = letters[':c'].set() >> 'abc'
+    >>> abc
+    letters['a', 'b', 'c'].set() >> 'abc'
+    >>> abc & letters['b:d']
+    letters['b', 'c'].set()
+    """
+    format_string = "{axis}[{key}].set()"
+
+    def __init__(self, key, name=None, axis=None):
+        key = _to_key(key)
+        if isinstance(key, LGroup):
+            if name is None:
+                name = key.name
+            if axis is None:
+                axis = key.axis
+            if not isinstance(key, LSet):
+                key = key.eval()
+        if np.isscalar(key):
+            key = [key]
+        key = OrderedSet(key)
+        LGroup.__init__(self, key, name, axis)
+
+    # method factory
+    def _binop(opname, c):
+        op_fullname = '__%s__' % opname
+
+        # TODO: implement this in a delayed fashion for reference axes
+        def opmethod(self, other):
+            if not isinstance(other, LSet):
+                other = LSet(other)
+            axis = self.axis if self.axis is not None else other.axis
+
+            # setting a meaningful name is hard when either one has no name
+            if self.name is not None and other.name is not None:
+                name = '%s %s %s' % (self.name, c, other.name)
+            else:
+                name = None
+            # TODO: implement this in a more efficient way for ndarray keys
+            #       which can be large
+            result_set = getattr(self.key, op_fullname)(other.key)
+            return LSet(result_set, name=name, axis=axis)
+        opmethod.__name__ = op_fullname
+        return opmethod
+
+    union = _binop('or', '|')
+    __or__ = union
+
+    intersection = _binop('and', '&')
+    __and__ = intersection
+
+    difference = _binop('sub', '-')
+    __sub__ = difference
+
+
+class PGroup(Group):
+    """Positional Group.
+
+    Represents a subset of indices of an axis.
+
+    Parameters
+    ----------
+    key : key
+        Anything usable for indexing.
+        A key should be either a single position, a sequence of positions, or a slice with
+        integer bounds.
+    name : str, optional
+        Name of the group.
+    axis : int, str, Axis, optional
+        Axis for group.
+    """
+    format_string = "{axis}.i[{key}]"
+
+    def translate(self, bound=None, stop=False):
+        """
+        compute position(s) of group
+        """
+        if bound is not None:
+            return bound
+        else:
+            return self.key
+
+    def to_label(self):
+        if isinstance(self.axis, ABCAxis):
+            labels = self.axis.labels
+            key = self.key
+            if isinstance(key, slice):
+                start = labels[key.start] if key.start is not None else None
+                # FIXME: this probably breaks for reverse slices
+                # - 1 because PGroup slice stop is excluded while LGroup slice stop is included
+                stop = labels[key.stop - 1] if key.stop is not None else None
+                return slice(start, stop, key.step)
+            else:
+                # key is a single int or tuple/list/array of them
+                return labels[key]
+        else:
+            raise ValueError("Cannot evaluate a positional group without axis")
+
+    def eval(self):
+        if isinstance(self.axis, ABCAxis):
+            return self.axis.labels[self.key]
+        else:
+            raise ValueError("Cannot evaluate a positional group without axis")
+
+    def retarget_to(self, target_axis):
+        """Make sure a group has axis
+
+        Parameters
+        ----------
+        axis : Axis
+            axis to conform to
+
+        Returns
+        -------
+        Group with axis, raise ValueError otherwise
+        """
+        if self.axis is target_axis:
+            return self
+        elif isinstance(self.axis, basestring) or isinstance(self.axis, ABCAxisReference):
+            axis_name = self.axis.name if isinstance(self.axis, ABCAxisReference) else self.axis
+            if axis_name != target_axis.name:
+                raise ValueError('cannot retarget a PGroup defined without a real axis object (e.g. using '
+                                 'an AxisReference (x.)) to an axis with a different name')
+            return PGroup(self.key, self.name, target_axis)
+        elif self.axis.equals(target_axis) or isinstance(self.axis, int):
+            # in the case of isinstance(self.axis, int), we can only hope the axis corresponds. This is the
+            # case if we come from _translate_axis_key_chunk, but if the users calls this manually, we cannot know.
+            # XXX: maybe changing this to retarget_to_axes would be a good idea after all?
+
+            # just change the axis object
+            return PGroup(self.key, self.name, target_axis)
+        else:
+            # to retarget to another Axis, we need to translate to labels
+            return LGroup(self.to_label(), self.name, target_axis)
+
+    def __hash__(self):
+        return hash(('PGroup', _to_tick(self.key)))
+
diff --git a/larray/ipfp.py b/larray/core/ipfp.py
similarity index 96%
rename from larray/ipfp.py
rename to larray/core/ipfp.py
index 9d1dcdcbc..2806e6b1e 100644
--- a/larray/ipfp.py
+++ b/larray/core/ipfp.py
@@ -1,7 +1,7 @@
 import math
 from collections import deque
 
-import larray as la
+from larray.core.array import LArray, aslarray, ones, any
 import numpy as np
 
 
@@ -74,7 +74,6 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     Examples
     --------
     >>> from larray import *
-    >>> from larray.ipfp import ipfp
     >>> a = Axis('a=a0,a1')
     >>> b = Axis('b=b0,b1')
     >>> initial = LArray([[2, 1], [1, 2]], [a, b])
@@ -101,7 +100,7 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     assert no_convergence in {'ignore', 'warn', 'raise'}
     assert isinstance(display_progress, bool) or display_progress == 'condensed'
 
-    target_sums = [la.aslarray(ts) for ts in target_sums]
+    target_sums = [aslarray(ts) for ts in target_sums]
 
     n = len(target_sums)
     axes_names = ['axis%d' % i for i in range(n)]
@@ -129,13 +128,13 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         first_axis = target_sums[1].axes[0]
         other_axes = target_sums[0].axes
         all_axes = first_axis + other_axes
-        a = la.ones(all_axes, dtype=np.float64)
+        a = ones(all_axes, dtype=np.float64)
     else:
         # TODO: this should be a builtin op
-        if isinstance(a, la.LArray):
+        if isinstance(a, LArray):
             a = a.copy()
         else:
-            a = la.aslarray(a)
+            a = aslarray(a)
         # TODO: this should be a builtin op
         a = a.rename({i: name if name is not None else 'axis%d' % i
                       for i, name in enumerate(a.axes.names)})
@@ -159,21 +158,21 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
                                 axis_total, axis0_total))
 
     negative = a < 0
-    if la.any(negative):
+    if any(negative):
         raise ValueError("negative value(s) found:\n%s"
                          % badvalues(a, negative))
 
     for dim, axis_target in enumerate(target_sums):
         axis_sum = a.sum(axis=dim)
         bad = (axis_sum == 0) & (axis_target != 0)
-        if la.any(bad):
+        if any(bad):
             raise ValueError("found all zero values sum along %s (%d) but non "
                              "zero target sum:\n%s"
                              % (a.axes[dim].name, dim,
                                 badvalues(axis_target, bad)))
 
         bad = (axis_sum != 0) & (axis_target == 0)
-        if la.any(bad):
+        if any(bad):
             if nzvzs in {'warn', 'raise'}:
                 msg = "found non zero values sum along {} ({}) but zero " \
                       "target sum".format(a.axes[dim].name, dim)
diff --git a/larray/session.py b/larray/core/session.py
similarity index 98%
rename from larray/session.py
rename to larray/core/session.py
index e25f5e645..2105338cc 100644
--- a/larray/session.py
+++ b/larray/core/session.py
@@ -8,9 +8,15 @@
 import numpy as np
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from .core import LArray, Axis, read_csv, read_hdf, df_aslarray, larray_nan_equal, get_axes
-from .excel import open_excel
-from .utils import float_error_handler_factory, pickle
+from larray.core.axis import Axis
+from larray.core.array import LArray, larray_nan_equal, get_axes, df_aslarray, read_csv, read_hdf
+from larray.util.misc import float_error_handler_factory, pickle
+from larray.io.excel import open_excel
+
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
 
 
 def check_pattern(k, pattern):
diff --git a/larray/ufuncs.py b/larray/core/ufuncs.py
similarity index 99%
rename from larray/ufuncs.py
rename to larray/core/ufuncs.py
index d7d2c2f2c..fb74d7f46 100644
--- a/larray/ufuncs.py
+++ b/larray/core/ufuncs.py
@@ -3,7 +3,7 @@
 
 import numpy as np
 
-from larray.core import LArray, make_numpy_broadcastable
+from larray.core.array import LArray, make_numpy_broadcastable
 
 __all__ = [
     # Trigonometric functions
diff --git a/larray/io/__init__.py b/larray/io/__init__.py
new file mode 100644
index 000000000..1fa2e6a59
--- /dev/null
+++ b/larray/io/__init__.py
@@ -0,0 +1,3 @@
+from __future__ import absolute_import, division, print_function
+
+from larray.io.excel import open_excel
\ No newline at end of file
diff --git a/larray/excel.py b/larray/io/excel.py
similarity index 99%
rename from larray/excel.py
rename to larray/io/excel.py
index 12a499a55..9151018e9 100644
--- a/larray/excel.py
+++ b/larray/io/excel.py
@@ -7,7 +7,9 @@
 except ImportError:
     xw = None
 
-from .core import LArray, df_aslarray, Axis, from_lists
+from larray.core.axis import Axis
+from larray.core.array import LArray, df_aslarray, from_lists
+
 
 string_types = (str,)
 
diff --git a/larray/tests/common.py b/larray/tests/common.py
new file mode 100644
index 000000000..ed4f2e67b
--- /dev/null
+++ b/larray/tests/common.py
@@ -0,0 +1,58 @@
+from __future__ import absolute_import, division, print_function
+
+import os
+import numpy as np
+from larray import LArray
+
+
+TESTDATADIR = os.path.dirname(__file__)
+
+
+def abspath(relpath):
+    """
+    :param relpath: path relative to current module
+    :return: absolute path
+    """
+    return os.path.join(TESTDATADIR, relpath)
+
+# XXX: maybe we should force value groups to use tuple and families (group of
+# groups to use lists, or vice versa, so that we know which is which)
+# or use a class, just for that?
+# group(a, b, c)
+# family(group(a), b, c)
+
+
+def assert_equal_factory(test_func, check_shape=True, check_axes=True):
+    def assert_equal(a, b):
+        if isinstance(a, LArray) and isinstance(b, LArray) and a.axes != b.axes:
+            raise AssertionError("axes differ:\n%s\n\nvs\n\n%s"
+                                 % (a.axes.info, b.axes.info))
+        if not isinstance(a, (np.ndarray, LArray)):
+            a = np.asarray(a)
+        if not isinstance(b, (np.ndarray, LArray)):
+            b = np.asarray(b)
+        if a.shape != b.shape:
+            raise AssertionError("shapes differ: %s != %s" % (a.shape, b.shape))
+        equal = test_func(a, b)
+        if not equal.all():
+            # XXX: for some reason ndarray[bool_larray] does not work as we
+            #      would like, so we cannot do b[~equal] directly. I should
+            #      at least understand why this happens and fix this if
+            #      possible.
+            notequal = np.asarray(~equal)
+            raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
+    return assert_equal
+
+
+def equal(a, b):
+    return a == b
+
+
+def nan_equal(a, b):
+    return (a == b) | (np.isnan(a) & np.isnan(b))
+
+
+# numpy.testing.assert_array_equal/assert_equal would work too but it does not
+# (as of numpy 1.10) display specifically the non equal items
+assert_array_equal = assert_equal_factory(equal)
+assert_array_nan_equal = assert_equal_factory(nan_equal)
\ No newline at end of file
diff --git a/larray/tests/test_la.py b/larray/tests/test_array.py
similarity index 75%
rename from larray/tests/test_la.py
rename to larray/tests/test_array.py
index 7bb8aae8d..aa9a5c086 100644
--- a/larray/tests/test_la.py
+++ b/larray/tests/test_array.py
@@ -1,6 +1,5 @@
 from __future__ import absolute_import, division, print_function
 
-import os.path
 import sys
 from unittest import TestCase
 
@@ -13,64 +12,12 @@
 except ImportError:
     xw = None
 
-from larray import (LArray, Axis, AxisCollection, LGroup, LSet, PGroup, union,
-                    read_hdf, read_csv, read_eurostat, read_excel, open_excel,
-                    zeros, zeros_like, ndrange, ndtest, from_lists,
-                    ones, eye, diag, clip, exp, where, x, mean, isnan, round, stack, from_string)
-from larray.core import _to_ticks, _to_key, df_aslarray
-
-
-TESTDATADIR = os.path.dirname(__file__)
-
-
-def abspath(relpath):
-    """
-    :param relpath: path relative to current module
-    :return: absolute path
-    """
-    return os.path.join(TESTDATADIR, relpath)
-
-# XXX: maybe we should force value groups to use tuple and families (group of
-# groups to use lists, or vice versa, so that we know which is which)
-# or use a class, just for that?
-# group(a, b, c)
-# family(group(a), b, c)
-
-
-def assert_equal_factory(test_func, check_shape=True, check_axes=True):
-    def assert_equal(a, b):
-        if isinstance(a, LArray) and isinstance(b, LArray) and a.axes != b.axes:
-            raise AssertionError("axes differ:\n%s\n\nvs\n\n%s"
-                                 % (a.axes.info, b.axes.info))
-        if not isinstance(a, (np.ndarray, LArray)):
-            a = np.asarray(a)
-        if not isinstance(b, (np.ndarray, LArray)):
-            b = np.asarray(b)
-        if a.shape != b.shape:
-            raise AssertionError("shapes differ: %s != %s" % (a.shape, b.shape))
-        equal = test_func(a, b)
-        if not equal.all():
-            # XXX: for some reason ndarray[bool_larray] does not work as we
-            #      would like, so we cannot do b[~equal] directly. I should
-            #      at least understand why this happens and fix this if
-            #      possible.
-            notequal = np.asarray(~equal)
-            raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
-    return assert_equal
-
-
-def equal(a, b):
-    return a == b
-
-
-def nan_equal(a, b):
-    return (a == b) | (np.isnan(a) & np.isnan(b))
-
-
-# numpy.testing.assert_array_equal/assert_equal would work too but it does not
-# (as of numpy 1.10) display specifically the non equal items
-assert_array_equal = assert_equal_factory(equal)
-assert_array_nan_equal = assert_equal_factory(nan_equal)
+from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray import (LArray, Axis, LGroup, union, read_hdf, read_csv, read_eurostat, read_excel, open_excel,
+                    zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
+                    clip, exp, where, x, mean, isnan, round, from_lists, from_string)
+from larray.core.axis import _to_ticks, _to_key
+from larray.core.array import df_aslarray
 
 
 class TestValueStrings(TestCase):
@@ -109,990 +56,6 @@ def test_slice_strings(self):
         self.assertEqual(_to_key(':'), slice(None))
 
 
-class TestAxis(TestCase):
-    def setUp(self):
-        pass
-
-    def tearDown(self):
-        pass
-
-    def test_init(self):
-        sex_tuple = ('M', 'F')
-        sex_list = ['M', 'F']
-        sex_array = np.array(sex_list)
-
-        # tuple of strings
-        assert_array_equal(Axis(sex_tuple, 'sex').labels, sex_array)
-        # list of strings
-        assert_array_equal(Axis(sex_list, 'sex').labels, sex_array)
-        # array of strings
-        assert_array_equal(Axis(sex_array, 'sex').labels, sex_array)
-        # single string
-        assert_array_equal(Axis('sex=M,F').labels, sex_array)
-        # list of ints
-        assert_array_equal(Axis(range(116), 'age').labels, np.arange(116))
-        # range-string
-        assert_array_equal(Axis('..115', 'age').labels, np.arange(116))
-
-    def test_equals(self):
-        self.assertTrue(Axis('sex=M,F').equals(Axis('sex=M,F')))
-        self.assertTrue(Axis('sex=M,F').equals(Axis(['M', 'F'], 'sex')))
-        self.assertFalse(Axis('sex=M,W').equals(Axis('sex=M,F')))
-        self.assertFalse(Axis('sex1=M,F').equals(Axis('sex2=M,F')))
-        self.assertFalse(Axis('sex1=M,W').equals(Axis('sex2=M,F')))
-
-    def test_getitem(self):
-        age = Axis('age=0..10')
-        # a tuple
-        a159 = age[1, 5, 9]
-        self.assertEqual(a159.key, [1, 5, 9])
-        self.assertIs(a159.name, None)
-        self.assertIs(a159.axis, age)
-
-        # a normal list
-        a159 = age[[1, 5, 9]]
-        self.assertEqual(a159.key, [1, 5, 9])
-        self.assertIs(a159.name, None)
-        self.assertIs(a159.axis, age)
-
-        # a string list
-        a159 = age['1,5,9']
-        self.assertEqual(a159.key, [1, 5, 9])
-        self.assertIs(a159.name, None)
-        self.assertIs(a159.axis, age)
-
-        # a normal slice
-        a10to20 = age[5:9]
-        self.assertEqual(a10to20.key, slice(5, 9))
-        self.assertIs(a10to20.axis, age)
-
-        # a string slice
-        a10to20 = age['5:9']
-        self.assertEqual(a10to20.key, slice(5, 9))
-        self.assertIs(a10to20.axis, age)
-
-        # with name
-        group = age[[1, 5, 9]] >> 'test'
-        self.assertEqual(group.key, [1, 5, 9])
-        self.assertEqual(group.name, 'test')
-        self.assertIs(group.axis, age)
-
-        # all
-        group = age[:] >> 'all'
-        self.assertEqual(group.key, slice(None))
-        self.assertIs(group.axis, age)
-
-    def test_getitem_lgroup_keys(self):
-        def group_equal(g1, g2):
-            return (g1.key == g2.key and g1.name == g2.name and
-                    g1.axis is g2.axis)
-
-        age = Axis(range(100), 'age')
-        ages = [1, 5, 9]
-
-        val_only = LGroup(ages)
-        self.assertTrue(group_equal(age[val_only], LGroup(ages, axis=age)))
-        self.assertTrue(group_equal(age[val_only] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
-
-        val_name = LGroup(ages, 'val_name')
-        self.assertTrue(group_equal(age[val_name], LGroup(ages, 'val_name', age)))
-        self.assertTrue(group_equal(age[val_name] >> 'a_name', LGroup(ages, 'a_name', age)))
-
-        val_axis = LGroup(ages, axis=age)
-        self.assertTrue(group_equal(age[val_axis], LGroup(ages, axis=age)))
-        self.assertTrue(group_equal(age[val_axis] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
-
-        val_axis_name = LGroup(ages, 'val_axis_name', age)
-        self.assertTrue(group_equal(age[val_axis_name], LGroup(ages, 'val_axis_name', age)))
-        self.assertTrue(group_equal(age[val_axis_name] >> 'a_name', LGroup(ages, 'a_name', age)))
-
-    def test_getitem_group_keys(self):
-        a = Axis('a=a0..a2')
-        alt_a = Axis('a=a1..a3')
-
-        # a) key is a single LGroup
-        # -------------------------
-
-        # a.1) containing a scalar
-        key = a['a1']
-        # use it on the same axis
-        g = a[key]
-        self.assertEqual(g.key, 'a1')
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertEqual(g.key, 'a1')
-        self.assertIs(g.axis, alt_a)
-
-        # a.2) containing a slice
-        key = a['a1':'a2']
-        # use it on the same axis
-        g = a[key]
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, alt_a)
-
-        # a.3) containing a list
-        key = a[['a1', 'a2']]
-        # use it on the same axis
-        g = a[key]
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # b) key is a single PGroup
-        # -------------------------
-
-        # b.1) containing a scalar
-        key = a.i[1]
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, 'a1')
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, 'a1')
-        self.assertIs(g.axis, alt_a)
-
-        # b.2) containing a slice
-        key = a.i[1:3]
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, alt_a)
-
-        # b.3) containing a list
-        key = a.i[[1, 2]]
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(list(g.key), ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(list(g.key), ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # c) key is a slice
-        # -----------------
-
-        # c.1) with LGroup bounds
-        lg_a1 = a['a1']
-        lg_a2 = a['a2']
-        # use it on the same axis
-        g = a[lg_a1:lg_a2]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[lg_a1:lg_a2]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, alt_a)
-
-        # c.2) with PGroup bounds
-        pg_a1 = a.i[1]
-        pg_a2 = a.i[2]
-        # use it on the same axis
-        g = a[pg_a1:pg_a2]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[pg_a1:pg_a2]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, slice('a1', 'a2'))
-        self.assertIs(g.axis, alt_a)
-
-        # d) key is a list of scalar groups => create a single LGroup
-        # ---------------------------------
-
-        # d.1) with LGroup
-        key = [a['a1'], a['a2']]
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # d.2) with PGroup
-        key = [a.i[1], a.i[2]]
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # e) key is a list of non-scalar groups => retarget multiple groups to axis
-        # -------------------------------------
-
-        # e.1) with LGroup
-        key = [a['a1', 'a2'], a['a2', 'a1']]
-        # use it on the same axis => nothing happens
-        g = a[key]
-        self.assertIsInstance(g, list)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(g[0].key, ['a1', 'a2'])
-        self.assertEqual(g[1].key, ['a2', 'a1'])
-        self.assertIs(g[0].axis, a)
-        self.assertIs(g[1].axis, a)
-        # use it on a different axis => change axis
-        g = alt_a[key]
-        self.assertIsInstance(g, list)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(g[0].key, ['a1', 'a2'])
-        self.assertEqual(g[1].key, ['a2', 'a1'])
-        self.assertIs(g[0].axis, alt_a)
-        self.assertIs(g[1].axis, alt_a)
-
-        # e.2) with PGroup
-        key = (a.i[1, 2], a.i[2, 1])
-        # use it on the same axis => change to LGroup
-        g = a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(list(g[0].key), ['a1', 'a2'])
-        self.assertEqual(list(g[1].key), ['a2', 'a1'])
-        self.assertIs(g[0].axis, a)
-        self.assertIs(g[1].axis, a)
-        # use it on a different axis => retarget to axis
-        g = alt_a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(list(g[0].key), ['a1', 'a2'])
-        self.assertEqual(list(g[1].key), ['a2', 'a1'])
-        self.assertIs(g[0].axis, alt_a)
-        self.assertIs(g[1].axis, alt_a)
-
-        # f) key is a tuple of scalar groups => create a single LGroup
-        # ----------------------------------
-
-        # f.1) with LGroups
-        key = (a['a1'], a['a2'])
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # f.2) with PGroup
-        key = (a.i[1], a.i[2])
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, LGroup)
-        self.assertEqual(g.key, ['a1', 'a2'])
-        self.assertIs(g.axis, alt_a)
-
-        # g) key is a tuple of non-scalar groups => retarget multiple groups to axis
-        # --------------------------------------
-
-        # g.1) with LGroups
-        key = (a['a1', 'a2'], a['a2', 'a1'])
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(g[0].key, ['a1', 'a2'])
-        self.assertEqual(g[1].key, ['a2', 'a1'])
-        self.assertIs(g[0].axis, a)
-        self.assertIs(g[1].axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(g[0].key, ['a1', 'a2'])
-        self.assertEqual(g[1].key, ['a2', 'a1'])
-        self.assertIs(g[0].axis, alt_a)
-        self.assertIs(g[1].axis, alt_a)
-
-        # g.2) with PGroup
-        key = (a.i[1, 2], a.i[2, 1])
-        # use it on the same axis
-        g = a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(list(g[0].key), ['a1', 'a2'])
-        self.assertEqual(list(g[1].key), ['a2', 'a1'])
-        self.assertIs(g[0].axis, a)
-        self.assertIs(g[1].axis, a)
-        # use it on a different axis
-        g = alt_a[key]
-        self.assertIsInstance(g, tuple)
-        self.assertIsInstance(g[0], LGroup)
-        self.assertIsInstance(g[1], LGroup)
-        self.assertEqual(list(g[0].key), ['a1', 'a2'])
-        self.assertEqual(list(g[1].key), ['a2', 'a1'])
-        self.assertIs(g[0].axis, alt_a)
-        self.assertIs(g[1].axis, alt_a)
-
-    def test_init_from_group(self):
-        code = Axis('code=C01..C03')
-        code_group = code[:'C02']
-        subset_axis = Axis(code_group, 'code_subset')
-        assert_array_equal(subset_axis.labels, ['C01', 'C02'])
-
-    def test_match(self):
-        sutcode = Axis(['A23', 'A2301', 'A25', 'A2501'], 'sutcode')
-        self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
-        self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
-        self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
-
-    def test_iter(self):
-        sex = Axis('sex=M,F')
-        self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
-
-    def test_positional(self):
-        age = Axis('age=0..115')
-
-        # these are NOT equivalent (not translated until used in an LArray
-        # self.assertEqual(age.i[:17], age[':17'])
-        key = age.i[:-1]
-        self.assertEqual(key.key, slice(None, -1))
-        self.assertIs(key.axis, age)
-
-    def test_contains(self):
-        # normal Axis
-        age = Axis('age=0..10')
-
-        age2 = age[2]
-        age2bis = age[(2,)]
-        age2ter = age[[2]]
-        age2qua = '2,'
-
-        age20 = LGroup('20')
-        age20bis = LGroup('20,')
-        age20ter = LGroup(['20'])
-        age20qua = '20,'
-
-        # TODO: move assert to another test
-        # self.assertEqual(age2bis, age2ter)
-
-        age247 = age['2,4,7']
-        age247bis = age[['2', '4', '7']]
-        age359 = age[['3', '5', '9']]
-        age468 = age['4,6,8'] >> 'even'
-
-        self.assertTrue(5 in age)
-        self.assertFalse('5' in age)
-
-        self.assertTrue(age2 in age)
-        # only single ticks are "contained" in the axis, not "collections"
-        self.assertFalse(age2bis in age)
-        self.assertFalse(age2ter in age)
-        self.assertFalse(age2qua in age)
-
-        self.assertFalse(age20 in age)
-        self.assertFalse(age20bis in age)
-        self.assertFalse(age20ter in age)
-        self.assertFalse(age20qua in age)
-        self.assertFalse(['3', '5', '9'] in age)
-        self.assertFalse('3,5,9' in age)
-        self.assertFalse('3:9' in age)
-        self.assertFalse(age247 in age)
-        self.assertFalse(age247bis in age)
-        self.assertFalse(age359 in age)
-        self.assertFalse(age468 in age)
-
-        # aggregated Axis
-        # FIXME: _to_tick(age2) == 2, but then np.asarray([2, '2,4,7', ...]) returns np.array(['2', '2,4,7'])
-        # instead of returning an object array
-        agg = Axis((age2, age247, age359, age468, '2,6', ['3', '5', '7'], ('6', '7', '9')), "agg")
-        # fails because of above FIXME
-        # self.assertTrue(age2 in agg)
-        self.assertFalse(age2bis in agg)
-        self.assertFalse(age2ter in agg)
-        self.assertFalse(age2qua in age)
-
-        self.assertTrue(age247 in agg)
-        self.assertTrue(age247bis in agg)
-        self.assertTrue('2,4,7' in agg)
-        self.assertTrue(['2', '4', '7'] in agg)
-
-        self.assertTrue(age359 in agg)
-        self.assertTrue('3,5,9' in agg)
-        self.assertTrue(['3', '5', '9'] in agg)
-
-        self.assertTrue(age468 in agg)
-        # no longer the case
-        # self.assertTrue('4,6,8' in agg)
-        # self.assertTrue(['4', '6', '8'] in agg)
-        self.assertTrue('even' in agg)
-
-        self.assertTrue('2,6' in agg)
-        self.assertTrue(['2', '6'] in agg)
-        self.assertTrue(age['2,6'] in agg)
-        self.assertTrue(age[['2', '6']] in agg)
-
-        self.assertTrue('3,5,7' in agg)
-        self.assertTrue(['3', '5', '7'] in agg)
-        self.assertTrue(age['3,5,7'] in agg)
-        self.assertTrue(age[['3', '5', '7']] in agg)
-
-        self.assertTrue('6,7,9' in agg)
-        self.assertTrue(['6', '7', '9'] in agg)
-        self.assertTrue(age['6,7,9'] in agg)
-        self.assertTrue(age[['6', '7', '9']] in agg)
-
-        self.assertFalse(5 in agg)
-        self.assertFalse('5' in agg)
-        self.assertFalse(age20 in agg)
-        self.assertFalse(age20bis in agg)
-        self.assertFalse(age20ter in agg)
-        self.assertFalse(age20qua in agg)
-        self.assertFalse('2,7' in agg)
-        self.assertFalse(['2', '7'] in agg)
-        self.assertFalse(age['2,7'] in agg)
-        self.assertFalse(age[['2', '7']] in agg)
-
-
-class TestLGroup(TestCase):
-    def setUp(self):
-        self.age = Axis('age=0..10')
-        self.lipro = Axis('lipro=P01..P05')
-        self.anonymous = Axis(range(3))
-
-        self.slice_both_named_wh_named_axis = LGroup('1:5', "full", self.age)
-        self.slice_both_named = LGroup('1:5', "named")
-        self.slice_both = LGroup('1:5')
-        self.slice_start = LGroup('1:')
-        self.slice_stop = LGroup(':5')
-        self.slice_none_no_axis = LGroup(':')
-        self.slice_none_wh_named_axis = LGroup(':', axis=self.lipro)
-        self.slice_none_wh_anonymous_axis = LGroup(':', axis=self.anonymous)
-
-        self.single_value = LGroup('P03')
-        self.list = LGroup('P01,P03,P04')
-        self.list_named = LGroup('P01,P03,P04', "P134")
-
-    def test_init(self):
-        self.assertEqual(self.slice_both_named_wh_named_axis.name, "full")
-        self.assertEqual(self.slice_both_named_wh_named_axis.key, slice(1, 5, None))
-        self.assertIs(self.slice_both_named_wh_named_axis.axis, self.age)
-
-        self.assertEqual(self.slice_both_named.name, "named")
-        self.assertEqual(self.slice_both_named.key, slice(1, 5, None))
-
-        self.assertEqual(self.slice_both.key, slice(1, 5, None))
-        self.assertEqual(self.slice_start.key, slice(1, None, None))
-        self.assertEqual(self.slice_stop.key, slice(None, 5, None))
-        self.assertEqual(self.slice_none_no_axis.key, slice(None, None, None))
-        self.assertIs(self.slice_none_wh_named_axis.axis, self.lipro)
-        self.assertIs(self.slice_none_wh_anonymous_axis.axis, self.anonymous)
-
-        self.assertEqual(self.single_value.key, 'P03')
-        self.assertEqual(self.list.key, ['P01', 'P03', 'P04'])
-
-    def test_eq(self):
-        # with axis vs no axis do not compare equal
-        # self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)
-        self.assertEqual(self.slice_both, self.slice_both_named)
-
-        res = self.slice_both_named_wh_named_axis == self.age[1:5]
-        self.assertIsInstance(res, np.ndarray)
-        self.assertEqual(res.shape, (5,))
-        self.assertTrue(res.all())
-
-        self.assertEqual(self.slice_both, LGroup(slice(1, 5)))
-        self.assertEqual(self.slice_start, LGroup(slice(1, None)))
-        self.assertEqual(self.slice_stop, LGroup(slice(5)))
-        self.assertEqual(self.slice_none_no_axis, LGroup(slice(None)))
-
-        self.assertEqual(self.single_value, LGroup('P03'))
-        self.assertEqual(self.list, LGroup(['P01', 'P03', 'P04']))
-        self.assertEqual(self.list_named, LGroup(['P01', 'P03', 'P04']))
-
-        # test with raw objects
-        self.assertEqual(self.slice_both, slice(1, 5))
-        self.assertEqual(self.slice_start, slice(1, None))
-        self.assertEqual(self.slice_stop, slice(5))
-        self.assertEqual(self.slice_none_no_axis, slice(None))
-
-        self.assertEqual(self.single_value, 'P03')
-        self.assertEqual(self.list, ['P01', 'P03', 'P04'])
-        self.assertEqual(self.list_named, ['P01', 'P03', 'P04'])
-
-    def test_sorted(self):
-        self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
-                         [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
-
-    def test_asarray(self):
-        assert_array_equal(np.asarray(self.slice_both_named_wh_named_axis), np.array([1, 2, 3, 4, 5]))
-        assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05']))
-
-    def test_hash(self):
-        # this test is a lot less important than what it used to, because we cannot have Group ticks on an axis anymore
-        d = {self.slice_both: 1,
-             self.single_value: 2,
-             self.list_named: 3}
-        # target a LGroup with an equivalent LGroup
-        self.assertEqual(d.get(self.slice_both), 1)
-        self.assertEqual(d.get(self.single_value), 2)
-        self.assertEqual(d.get(self.list), 3)
-        self.assertEqual(d.get(self.list_named), 3)
-
-    def test_repr(self):
-        self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
-        self.assertEqual(repr(self.slice_both_named),
-                         "LGroup(slice(1, 5, None)) >> 'named'")
-        self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
-        self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P04'])")
-        self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
-        self.assertEqual(repr(self.slice_none_wh_named_axis), "lipro[:]")
-        self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
-                         "LGroup(slice(None, None, None), axis=Axis([0, 1, 2], None))")
-
-
-class TestLSet(TestCase):
-    def test_or(self):
-        # without axis
-        self.assertEqual(LSet(['a', 'b']) | LSet(['c', 'd']),
-                         LSet(['a', 'b', 'c', 'd']))
-        self.assertEqual(LSet(['a', 'b', 'c']) | LSet(['c', 'd']),
-                         LSet(['a', 'b', 'c', 'd']))
-        # with axis (pure)
-        alpha = Axis('alpha=a,b,c,d')
-        res = alpha['a', 'b'].set() | alpha['c', 'd'].set()
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
-        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'].set(),
-                         alpha['a', 'b', 'c', 'd'].set())
-
-        # with axis (mixed)
-        alpha = Axis('alpha=a,b,c,d')
-        res = alpha['a', 'b'].set() | alpha['c', 'd']
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
-        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
-                         alpha['a', 'b', 'c', 'd'].set())
-
-        # with axis & name
-        alpha = Axis('alpha=a,b,c,d')
-        res = alpha['a', 'b'].set().named('ab') | alpha['c', 'd'].set().named('cd')
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res.name, 'ab | cd')
-        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
-        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
-                         alpha['a', 'b', 'c', 'd'].set())
-
-        # numeric axis
-        num = Axis(range(10), 'num')
-        # single int
-        self.assertEqual(num[1, 5, 3].set() | 4, num[1, 5, 3, 4].set())
-        self.assertEqual(num[1, 5, 3].set() | num[4], num[1, 5, 3, 4].set())
-        self.assertEqual(num[4].set() | num[1, 5, 3], num[4, 1, 5, 3].set())
-        # slices
-        self.assertEqual(num[:2].set() | num[8:], num[0, 1, 2, 8, 9].set())
-        self.assertEqual(num[:2].set() | num[5], num[0, 1, 2, 5].set())
-
-    def test_and(self):
-        # without axis
-        self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']),
-                         LSet(['c']))
-        # with axis & name
-        alpha = Axis('alpha=a,b,c,d')
-        res = alpha['a', 'b', 'c'].named('abc').set() & alpha['c', 'd'].named('cd')
-        self.assertIs(res.axis, alpha)
-        self.assertEqual(res.name, 'abc & cd')
-        self.assertEqual(res, alpha[['c']].set())
-
-    def test_sub(self):
-        self.assertEqual(LSet(['a', 'b', 'c']) - LSet(['c', 'd']),
-                         LSet(['a', 'b']))
-        self.assertEqual(LSet(['a', 'b', 'c']) - ['c', 'd'],
-                         LSet(['a', 'b']))
-        self.assertEqual(LSet(['a', 'b', 'c']) - 'b',
-                         LSet(['a', 'c']))
-        self.assertEqual(LSet([1, 2, 3]) - 4, LSet([1, 2, 3]))
-        self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
-
-
-class TestPGroup(TestCase):
-    def _assert_array_equal_is_true_array(self, a, b):
-        res = a == b
-        self.assertIsInstance(res, np.ndarray)
-        self.assertEqual(res.shape, np.asarray(b).shape)
-        self.assertTrue(res.all())
-
-    def setUp(self):
-        self.code_axis = Axis('code=a0..a4')
-
-        self.slice_both_named = self.code_axis.i[1:4] >> 'a123'
-        self.slice_both = self.code_axis.i[1:4]
-        self.slice_start = self.code_axis.i[1:]
-        self.slice_stop = self.code_axis.i[:4]
-        self.slice_none = self.code_axis.i[:]
-
-        self.first_value = self.code_axis.i[0]
-        self.last_value = self.code_axis.i[-1]
-        self.list = self.code_axis.i[[0, 1, -2, -1]]
-        self.tuple = self.code_axis.i[0, 1, -2, -1]
-
-    def test_asarray(self):
-        assert_array_equal(np.asarray(self.slice_both), np.array(['a1', 'a2', 'a3']))
-
-    def test_eq(self):
-        self._assert_array_equal_is_true_array(self.slice_both, ['a1', 'a2', 'a3'])
-        self._assert_array_equal_is_true_array(self.slice_both_named, ['a1', 'a2', 'a3'])
-        self._assert_array_equal_is_true_array(self.slice_both, self.slice_both_named)
-        self._assert_array_equal_is_true_array(self.slice_both_named, self.slice_both)
-        self._assert_array_equal_is_true_array(self.slice_start, ['a1', 'a2', 'a3', 'a4'])
-        self._assert_array_equal_is_true_array(self.slice_stop, ['a0', 'a1', 'a2', 'a3'])
-        self._assert_array_equal_is_true_array(self.slice_none, ['a0', 'a1', 'a2', 'a3', 'a4'])
-
-        self.assertEqual(self.first_value, 'a0')
-        self.assertEqual(self.last_value, 'a4')
-
-        self._assert_array_equal_is_true_array(self.list, ['a0', 'a1', 'a3', 'a4'])
-        self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
-
-    def test_getattr(self):
-        agg = Axis(['a1:a2', ':a2', 'a1:'], 'agg')
-        self.assertEqual(agg.i[0].split(':'), ['a1', 'a2'])
-        self.assertEqual(agg.i[1].split(':'), ['', 'a2'])
-        self.assertEqual(agg.i[2].split(':'), ['a1', ''])
-
-    def test_dir(self):
-        agg = Axis(['a', 1], 'agg')
-        self.assertTrue('split' in dir(agg.i[0]))
-        self.assertTrue('strip' in dir(agg.i[0]))
-        self.assertTrue('strip' in dir(agg.i[0]))
-
-    def test_repr(self):
-        self.assertEqual(repr(self.slice_both_named), "code.i[1:4] >> 'a123'")
-        self.assertEqual(repr(self.slice_both), "code.i[1:4]")
-        self.assertEqual(repr(self.slice_start), "code.i[1:]")
-        self.assertEqual(repr(self.slice_stop), "code.i[:4]")
-        self.assertEqual(repr(self.slice_none), "code.i[:]")
-        self.assertEqual(repr(self.first_value), "code.i[0]")
-        self.assertEqual(repr(self.last_value), "code.i[-1]")
-        self.assertEqual(repr(self.list), "code.i[0, 1, -2, -1]")
-        self.assertEqual(repr(self.tuple), "code.i[0, 1, -2, -1]")
-
-
-class TestAxisCollection(TestCase):
-    def setUp(self):
-        self.lipro = Axis('lipro=P01..P04')
-        self.sex = Axis('sex=M,F')
-        self.sex2 = Axis('sex=F,M')
-        self.age = Axis('age=0..7')
-        self.geo = Axis('geo=A11,A12,A13')
-        self.value = Axis('value=0..10')
-        self.collection = AxisCollection((self.lipro, self.sex, self.age))
-
-    def test_init_from_group(self):
-        lipro_subset = self.lipro[:'P03']
-        col2 = AxisCollection((lipro_subset, self.sex))
-        self.assertEqual(col2.names, ['lipro', 'sex'])
-        assert_array_equal(col2.lipro.labels, ['P01', 'P02', 'P03'])
-        assert_array_equal(col2.sex.labels, ['M', 'F'])
-
-    def test_eq(self):
-        col = self.collection
-        self.assertEqual(col, col)
-        self.assertEqual(col, AxisCollection((self.lipro, self.sex, self.age)))
-        self.assertEqual(col, (self.lipro, self.sex, self.age))
-        self.assertNotEqual(col, (self.lipro, self.age, self.sex))
-
-    def test_getitem_name(self):
-        col = self.collection
-        self.assert_axis_eq(col['lipro'], self.lipro)
-        self.assert_axis_eq(col['sex'], self.sex)
-        self.assert_axis_eq(col['age'], self.age)
-
-    def test_getitem_int(self):
-        col = self.collection
-        self.assert_axis_eq(col[0], self.lipro)
-        self.assert_axis_eq(col[-3], self.lipro)
-        self.assert_axis_eq(col[1], self.sex)
-        self.assert_axis_eq(col[-2], self.sex)
-        self.assert_axis_eq(col[2], self.age)
-        self.assert_axis_eq(col[-1], self.age)
-
-    def test_getitem_slice(self):
-        col = self.collection[:2]
-        self.assertEqual(len(col), 2)
-        self.assert_axis_eq(col[0], self.lipro)
-        self.assert_axis_eq(col[1], self.sex)
-
-    def test_setitem_name(self):
-        col = self.collection[:]
-        # replace an axis with one with another name
-        col['lipro'] = self.geo
-        self.assertEqual(len(col), 3)
-        self.assertEqual(col, [self.geo, self.sex, self.age])
-        # replace an axis with one with the same name
-        col['sex'] = self.sex2
-        self.assertEqual(col, [self.geo, self.sex2, self.age])
-        col['geo'] = self.lipro
-        self.assertEqual(col, [self.lipro, self.sex2, self.age])
-        col['age'] = self.geo
-        self.assertEqual(col, [self.lipro, self.sex2, self.geo])
-        col['sex'] = self.sex
-        col['geo'] = self.age
-        self.assertEqual(col, self.collection)
-
-    def test_setitem_name_axis_def(self):
-        col = self.collection[:]
-        # replace an axis with one with another name
-        col['lipro'] = 'geo=A11,A12,A13'
-        self.assertEqual(len(col), 3)
-        self.assertEqual(col, [self.geo, self.sex, self.age])
-        # replace an axis with one with the same name
-        col['sex'] = 'sex=F,M'
-        self.assertEqual(col, [self.geo, self.sex2, self.age])
-        col['geo'] = 'lipro=P01..P04'
-        self.assertEqual(col, [self.lipro, self.sex2, self.age])
-        col['age'] = 'geo=A11,A12,A13'
-        self.assertEqual(col, [self.lipro, self.sex2, self.geo])
-        col['sex'] = 'sex=M,F'
-        col['geo'] = 'age=0..7'
-        self.assertEqual(col, self.collection)
-
-    def test_setitem_int(self):
-        col = self.collection[:]
-        col[1] = self.geo
-        self.assertEqual(len(col), 3)
-        self.assertEqual(col, [self.lipro, self.geo, self.age])
-        col[2] = self.sex
-        self.assertEqual(col, [self.lipro, self.geo, self.sex])
-        col[-1] = self.age
-        self.assertEqual(col, [self.lipro, self.geo, self.age])
-
-    def test_setitem_list_replace(self):
-        col = self.collection[:]
-        col[['lipro', 'age']] = [self.geo, self.lipro]
-        self.assertEqual(col, [self.geo, self.sex, self.lipro])
-
-    def test_setitem_slice_replace(self):
-        col = self.collection[:]
-        # replace by list
-        col[1:] = [self.geo, self.sex]
-        self.assertEqual(col, [self.lipro, self.geo, self.sex])
-        # replace by collection
-        col[1:] = self.collection[1:]
-        self.assertEqual(col, self.collection)
-
-    def test_setitem_slice_insert(self):
-        col = self.collection[:]
-        col[1:1] = [self.geo]
-        self.assertEqual(col, [self.lipro, self.geo, self.sex, self.age])
-
-    def test_setitem_slice_delete(self):
-        col = self.collection[:]
-        col[1:2] = []
-        self.assertEqual(col, [self.lipro, self.age])
-        col[0:1] = []
-        self.assertEqual(col, [self.age])
-
-    def assert_axis_eq(self, axis1, axis2):
-        self.assertTrue(axis1.equals(axis2))
-
-    def test_delitem(self):
-        col = self.collection[:]
-        self.assertEqual(len(col), 3)
-        del col[0]
-        self.assertEqual(len(col), 2)
-        self.assert_axis_eq(col[0], self.sex)
-        self.assert_axis_eq(col[1], self.age)
-        del col['age']
-        self.assertEqual(len(col), 1)
-        self.assert_axis_eq(col[0], self.sex)
-        del col[self.sex]
-        self.assertEqual(len(col), 0)
-
-    def test_delitem_slice(self):
-        col = self.collection[:]
-        self.assertEqual(len(col), 3)
-        del col[0:2]
-        self.assertEqual(len(col), 1)
-        self.assertEqual(col, [self.age])
-        del col[:]
-        self.assertEqual(len(col), 0)
-
-    def test_pop(self):
-        col = self.collection[:]
-        lipro, sex, age = col
-        self.assertEqual(len(col), 3)
-        self.assertIs(col.pop(), age)
-        self.assertEqual(len(col), 2)
-        self.assertIs(col[0], lipro)
-        self.assertIs(col[1], sex)
-        self.assertIs(col.pop(), sex)
-        self.assertEqual(len(col), 1)
-        self.assertIs(col[0], lipro)
-        self.assertIs(col.pop(), lipro)
-        self.assertEqual(len(col), 0)
-
-    def test_replace(self):
-        col = self.collection[:]
-        newcol = col.replace('sex', self.geo)
-        # original collection is not modified
-        self.assertEqual(col, self.collection)
-        self.assertEqual(len(newcol), 3)
-        self.assertEqual(newcol.names, ['lipro', 'geo', 'age'])
-        self.assertEqual(newcol.shape, (4, 3, 8))
-        newcol = newcol.replace(self.geo, self.sex)
-        self.assertEqual(len(newcol), 3)
-        self.assertEqual(newcol.names, ['lipro', 'sex', 'age'])
-        self.assertEqual(newcol.shape, (4, 2, 8))
-
-        # from now on, reuse original collection
-        newcol = col.replace(self.sex, 3)
-        self.assertEqual(len(newcol), 3)
-        self.assertEqual(newcol.names, ['lipro', None, 'age'])
-        self.assertEqual(newcol.shape, (4, 3, 8))
-
-        newcol = col.replace(self.sex, ['a', 'b', 'c'])
-        self.assertEqual(len(newcol), 3)
-        self.assertEqual(newcol.names, ['lipro', None, 'age'])
-        self.assertEqual(newcol.shape, (4, 3, 8))
-
-        newcol = col.replace(self.sex, "letters=a,b,c")
-        self.assertEqual(len(newcol), 3)
-        self.assertEqual(newcol.names, ['lipro', 'letters', 'age'])
-        self.assertEqual(newcol.shape, (4, 3, 8))
-
-    # TODO: add contains_test (using both axis name and axis objects)
-    def test_get(self):
-        col = self.collection
-        self.assert_axis_eq(col.get('lipro'), self.lipro)
-        self.assertIsNone(col.get('nonexisting'))
-        self.assertIs(col.get('nonexisting', self.value), self.value)
-
-    def test_keys(self):
-        self.assertEqual(self.collection.keys(), ['lipro', 'sex', 'age'])
-
-    def test_getattr(self):
-        col = self.collection
-        self.assert_axis_eq(col.lipro, self.lipro)
-        self.assert_axis_eq(col.sex, self.sex)
-        self.assert_axis_eq(col.age, self.age)
-
-    def test_append(self):
-        col = self.collection
-        geo = Axis('geo=A11,A12,A13')
-        col.append(geo)
-        self.assertEqual(col, [self.lipro, self.sex, self.age, geo])
-
-    def test_extend(self):
-        col = self.collection
-        col.extend([self.geo, self.value])
-        self.assertEqual(col,
-                         [self.lipro, self.sex, self.age, self.geo, self.value])
-
-    def test_insert(self):
-        col = self.collection
-        col.insert(1, self.geo)
-        self.assertEqual(col, [self.lipro, self.geo, self.sex, self.age])
-
-    def test_add(self):
-        col = self.collection.copy()
-        lipro, sex, age = self.lipro, self.sex, self.age
-        geo, value = self.geo, self.value
-
-        # 1) list
-        # a) no dupe
-        new = col + [self.geo, value]
-        self.assertEqual(new, [lipro, sex, age, geo, value])
-        # check the original has not been modified
-        self.assertEqual(col, self.collection)
-
-        # b) with compatible dupe
-        # the "new" age axis is ignored (because it is compatible)
-        new = col + [Axis('geo=A11,A12,A13'), Axis('age=0..7')]
-        self.assertEqual(new, [lipro, sex, age, geo])
-
-        # c) with incompatible dupe
-        # XXX: the "new" age axis is ignored. We might want to ignore it if it
-        #  is the same but raise an exception if it is different
-        with self.assertRaises(ValueError):
-            col + [Axis('geo=A11,A12,A13'), Axis('age=0..6')]
-
-        # 2) other AxisCollection
-        new = col + AxisCollection([geo, value])
-        self.assertEqual(new, [lipro, sex, age, geo, value])
-
-    def test_combine(self):
-        col = self.collection.copy()
-        lipro, sex, age = self.lipro, self.sex, self.age
-        res = col.combine_axes((lipro, sex))
-        self.assertEqual(res.names, ['lipro_sex', 'age'])
-        self.assertEqual(res.size, col.size)
-        self.assertEqual(res.shape, (4 * 2, 8))
-        print(res.info)
-        assert_array_equal(res.lipro_sex.labels[0], 'P01_M')
-        res = col.combine_axes((lipro, age))
-        self.assertEqual(res.names, ['lipro_age', 'sex'])
-        self.assertEqual(res.size, col.size)
-        self.assertEqual(res.shape, (4 * 8, 2))
-        assert_array_equal(res.lipro_age.labels[0], 'P01_0')
-        res = col.combine_axes((sex, age))
-        self.assertEqual(res.names, ['lipro', 'sex_age'])
-        self.assertEqual(res.size, col.size)
-        self.assertEqual(res.shape, (4, 2 * 8))
-        assert_array_equal(res.sex_age.labels[0], 'M_0')
-
-    def test_info(self):
-        expected = """\
-4 x 2 x 8
- lipro [4]: 'P01' 'P02' 'P03' 'P04'
- sex [2]: 'M' 'F'
- age [8]: 0 1 2 ... 5 6 7"""
-        self.assertEqual(self.collection.info, expected)
-
-    def test_str(self):
-        self.assertEqual(str(self.collection), "{lipro, sex, age}")
-
-    def test_repr(self):
-        self.assertEqual(repr(self.collection), """AxisCollection([
-    Axis(['P01', 'P02', 'P03', 'P04'], 'lipro'),
-    Axis(['M', 'F'], 'sex'),
-    Axis([0, 1, 2, 3, 4, 5, 6, 7], 'age')
-])""")
-
-
 class TestLArray(TestCase):
     def setUp(self):
         self.title = 'test array'
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
new file mode 100644
index 000000000..5b2d844ac
--- /dev/null
+++ b/larray/tests/test_axis.py
@@ -0,0 +1,773 @@
+from __future__ import absolute_import, division, print_function
+
+from unittest import TestCase
+
+import pytest
+import numpy as np
+
+from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray import Axis, AxisCollection, LGroup, PGroup
+
+
+class TestAxis(TestCase):
+    def setUp(self):
+        pass
+
+    def tearDown(self):
+        pass
+
+    def test_init(self):
+        sex_tuple = ('M', 'F')
+        sex_list = ['M', 'F']
+        sex_array = np.array(sex_list)
+
+        # tuple of strings
+        assert_array_equal(Axis(sex_tuple, 'sex').labels, sex_array)
+        # list of strings
+        assert_array_equal(Axis(sex_list, 'sex').labels, sex_array)
+        # array of strings
+        assert_array_equal(Axis(sex_array, 'sex').labels, sex_array)
+        # single string
+        assert_array_equal(Axis('sex=M,F').labels, sex_array)
+        # list of ints
+        assert_array_equal(Axis(range(116), 'age').labels, np.arange(116))
+        # range-string
+        assert_array_equal(Axis('..115', 'age').labels, np.arange(116))
+
+    def test_equals(self):
+        self.assertTrue(Axis('sex=M,F').equals(Axis('sex=M,F')))
+        self.assertTrue(Axis('sex=M,F').equals(Axis(['M', 'F'], 'sex')))
+        self.assertFalse(Axis('sex=M,W').equals(Axis('sex=M,F')))
+        self.assertFalse(Axis('sex1=M,F').equals(Axis('sex2=M,F')))
+        self.assertFalse(Axis('sex1=M,W').equals(Axis('sex2=M,F')))
+
+    def test_getitem(self):
+        age = Axis('age=0..10')
+        # a tuple
+        a159 = age[1, 5, 9]
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
+        # a normal list
+        a159 = age[[1, 5, 9]]
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
+        # a string list
+        a159 = age['1,5,9']
+        self.assertEqual(a159.key, [1, 5, 9])
+        self.assertIs(a159.name, None)
+        self.assertIs(a159.axis, age)
+
+        # a normal slice
+        a10to20 = age[5:9]
+        self.assertEqual(a10to20.key, slice(5, 9))
+        self.assertIs(a10to20.axis, age)
+
+        # a string slice
+        a10to20 = age['5:9']
+        self.assertEqual(a10to20.key, slice(5, 9))
+        self.assertIs(a10to20.axis, age)
+
+        # with name
+        group = age[[1, 5, 9]] >> 'test'
+        self.assertEqual(group.key, [1, 5, 9])
+        self.assertEqual(group.name, 'test')
+        self.assertIs(group.axis, age)
+
+        # all
+        group = age[:] >> 'all'
+        self.assertEqual(group.key, slice(None))
+        self.assertIs(group.axis, age)
+
+    def test_getitem_lgroup_keys(self):
+        def group_equal(g1, g2):
+            return (g1.key == g2.key and g1.name == g2.name and
+                    g1.axis is g2.axis)
+
+        age = Axis(range(100), 'age')
+        ages = [1, 5, 9]
+
+        val_only = LGroup(ages)
+        self.assertTrue(group_equal(age[val_only], LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age[val_only] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
+
+        val_name = LGroup(ages, 'val_name')
+        self.assertTrue(group_equal(age[val_name], LGroup(ages, 'val_name', age)))
+        self.assertTrue(group_equal(age[val_name] >> 'a_name', LGroup(ages, 'a_name', age)))
+
+        val_axis = LGroup(ages, axis=age)
+        self.assertTrue(group_equal(age[val_axis], LGroup(ages, axis=age)))
+        self.assertTrue(group_equal(age[val_axis] >> 'a_name', LGroup(ages, 'a_name', axis=age)))
+
+        val_axis_name = LGroup(ages, 'val_axis_name', age)
+        self.assertTrue(group_equal(age[val_axis_name], LGroup(ages, 'val_axis_name', age)))
+        self.assertTrue(group_equal(age[val_axis_name] >> 'a_name', LGroup(ages, 'a_name', age)))
+
+    def test_getitem_group_keys(self):
+        a = Axis('a=a0..a2')
+        alt_a = Axis('a=a1..a3')
+
+        # a) key is a single LGroup
+        # -------------------------
+
+        # a.1) containing a scalar
+        key = a['a1']
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, alt_a)
+
+        # a.2) containing a slice
+        key = a['a1':'a2']
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # a.3) containing a list
+        key = a[['a1', 'a2']]
+        # use it on the same axis
+        g = a[key]
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # b) key is a single PGroup
+        # -------------------------
+
+        # b.1) containing a scalar
+        key = a.i[1]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, 'a1')
+        self.assertIs(g.axis, alt_a)
+
+        # b.2) containing a slice
+        key = a.i[1:3]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # b.3) containing a list
+        key = a.i[[1, 2]]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(list(g.key), ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(list(g.key), ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # c) key is a slice
+        # -----------------
+
+        # c.1) with LGroup bounds
+        lg_a1 = a['a1']
+        lg_a2 = a['a2']
+        # use it on the same axis
+        g = a[lg_a1:lg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[lg_a1:lg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # c.2) with PGroup bounds
+        pg_a1 = a.i[1]
+        pg_a2 = a.i[2]
+        # use it on the same axis
+        g = a[pg_a1:pg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[pg_a1:pg_a2]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, slice('a1', 'a2'))
+        self.assertIs(g.axis, alt_a)
+
+        # d) key is a list of scalar groups => create a single LGroup
+        # ---------------------------------
+
+        # d.1) with LGroup
+        key = [a['a1'], a['a2']]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # d.2) with PGroup
+        key = [a.i[1], a.i[2]]
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # e) key is a list of non-scalar groups => retarget multiple groups to axis
+        # -------------------------------------
+
+        # e.1) with LGroup
+        key = [a['a1', 'a2'], a['a2', 'a1']]
+        # use it on the same axis => nothing happens
+        g = a[key]
+        self.assertIsInstance(g, list)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis => change axis
+        g = alt_a[key]
+        self.assertIsInstance(g, list)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # e.2) with PGroup
+        key = (a.i[1, 2], a.i[2, 1])
+        # use it on the same axis => change to LGroup
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis => retarget to axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # f) key is a tuple of scalar groups => create a single LGroup
+        # ----------------------------------
+
+        # f.1) with LGroups
+        key = (a['a1'], a['a2'])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # f.2) with PGroup
+        key = (a.i[1], a.i[2])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, LGroup)
+        self.assertEqual(g.key, ['a1', 'a2'])
+        self.assertIs(g.axis, alt_a)
+
+        # g) key is a tuple of non-scalar groups => retarget multiple groups to axis
+        # --------------------------------------
+
+        # g.1) with LGroups
+        key = (a['a1', 'a2'], a['a2', 'a1'])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(g[0].key, ['a1', 'a2'])
+        self.assertEqual(g[1].key, ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+        # g.2) with PGroup
+        key = (a.i[1, 2], a.i[2, 1])
+        # use it on the same axis
+        g = a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, a)
+        self.assertIs(g[1].axis, a)
+        # use it on a different axis
+        g = alt_a[key]
+        self.assertIsInstance(g, tuple)
+        self.assertIsInstance(g[0], LGroup)
+        self.assertIsInstance(g[1], LGroup)
+        self.assertEqual(list(g[0].key), ['a1', 'a2'])
+        self.assertEqual(list(g[1].key), ['a2', 'a1'])
+        self.assertIs(g[0].axis, alt_a)
+        self.assertIs(g[1].axis, alt_a)
+
+    def test_init_from_group(self):
+        code = Axis('code=C01..C03')
+        code_group = code[:'C02']
+        subset_axis = Axis(code_group, 'code_subset')
+        assert_array_equal(subset_axis.labels, ['C01', 'C02'])
+
+    def test_match(self):
+        sutcode = Axis(['A23', 'A2301', 'A25', 'A2501'], 'sutcode')
+        self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
+        self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
+        self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
+
+    def test_iter(self):
+        sex = Axis('sex=M,F')
+        self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
+
+    def test_positional(self):
+        age = Axis('age=0..115')
+
+        # these are NOT equivalent (not translated until used in an LArray
+        # self.assertEqual(age.i[:17], age[':17'])
+        key = age.i[:-1]
+        self.assertEqual(key.key, slice(None, -1))
+        self.assertIs(key.axis, age)
+
+    def test_contains(self):
+        # normal Axis
+        age = Axis('age=0..10')
+
+        age2 = age[2]
+        age2bis = age[(2,)]
+        age2ter = age[[2]]
+        age2qua = '2,'
+
+        age20 = LGroup('20')
+        age20bis = LGroup('20,')
+        age20ter = LGroup(['20'])
+        age20qua = '20,'
+
+        # TODO: move assert to another test
+        # self.assertEqual(age2bis, age2ter)
+
+        age247 = age['2,4,7']
+        age247bis = age[['2', '4', '7']]
+        age359 = age[['3', '5', '9']]
+        age468 = age['4,6,8'] >> 'even'
+
+        self.assertTrue(5 in age)
+        self.assertFalse('5' in age)
+
+        self.assertTrue(age2 in age)
+        # only single ticks are "contained" in the axis, not "collections"
+        self.assertFalse(age2bis in age)
+        self.assertFalse(age2ter in age)
+        self.assertFalse(age2qua in age)
+
+        self.assertFalse(age20 in age)
+        self.assertFalse(age20bis in age)
+        self.assertFalse(age20ter in age)
+        self.assertFalse(age20qua in age)
+        self.assertFalse(['3', '5', '9'] in age)
+        self.assertFalse('3,5,9' in age)
+        self.assertFalse('3:9' in age)
+        self.assertFalse(age247 in age)
+        self.assertFalse(age247bis in age)
+        self.assertFalse(age359 in age)
+        self.assertFalse(age468 in age)
+
+        # aggregated Axis
+        # FIXME: _to_tick(age2) == 2, but then np.asarray([2, '2,4,7', ...]) returns np.array(['2', '2,4,7'])
+        # instead of returning an object array
+        agg = Axis((age2, age247, age359, age468, '2,6', ['3', '5', '7'], ('6', '7', '9')), "agg")
+        # fails because of above FIXME
+        # self.assertTrue(age2 in agg)
+        self.assertFalse(age2bis in agg)
+        self.assertFalse(age2ter in agg)
+        self.assertFalse(age2qua in age)
+
+        self.assertTrue(age247 in agg)
+        self.assertTrue(age247bis in agg)
+        self.assertTrue('2,4,7' in agg)
+        self.assertTrue(['2', '4', '7'] in agg)
+
+        self.assertTrue(age359 in agg)
+        self.assertTrue('3,5,9' in agg)
+        self.assertTrue(['3', '5', '9'] in agg)
+
+        self.assertTrue(age468 in agg)
+        # no longer the case
+        # self.assertTrue('4,6,8' in agg)
+        # self.assertTrue(['4', '6', '8'] in agg)
+        self.assertTrue('even' in agg)
+
+        self.assertTrue('2,6' in agg)
+        self.assertTrue(['2', '6'] in agg)
+        self.assertTrue(age['2,6'] in agg)
+        self.assertTrue(age[['2', '6']] in agg)
+
+        self.assertTrue('3,5,7' in agg)
+        self.assertTrue(['3', '5', '7'] in agg)
+        self.assertTrue(age['3,5,7'] in agg)
+        self.assertTrue(age[['3', '5', '7']] in agg)
+
+        self.assertTrue('6,7,9' in agg)
+        self.assertTrue(['6', '7', '9'] in agg)
+        self.assertTrue(age['6,7,9'] in agg)
+        self.assertTrue(age[['6', '7', '9']] in agg)
+
+        self.assertFalse(5 in agg)
+        self.assertFalse('5' in agg)
+        self.assertFalse(age20 in agg)
+        self.assertFalse(age20bis in agg)
+        self.assertFalse(age20ter in agg)
+        self.assertFalse(age20qua in agg)
+        self.assertFalse('2,7' in agg)
+        self.assertFalse(['2', '7'] in agg)
+        self.assertFalse(age['2,7'] in agg)
+        self.assertFalse(age[['2', '7']] in agg)
+
+
+class TestAxisCollection(TestCase):
+    def setUp(self):
+        self.lipro = Axis('lipro=P01..P04')
+        self.sex = Axis('sex=M,F')
+        self.sex2 = Axis('sex=F,M')
+        self.age = Axis('age=0..7')
+        self.geo = Axis('geo=A11,A12,A13')
+        self.value = Axis('value=0..10')
+        self.collection = AxisCollection((self.lipro, self.sex, self.age))
+
+    def test_init_from_group(self):
+        lipro_subset = self.lipro[:'P03']
+        col2 = AxisCollection((lipro_subset, self.sex))
+        self.assertEqual(col2.names, ['lipro', 'sex'])
+        assert_array_equal(col2.lipro.labels, ['P01', 'P02', 'P03'])
+        assert_array_equal(col2.sex.labels, ['M', 'F'])
+
+    def test_eq(self):
+        col = self.collection
+        self.assertEqual(col, col)
+        self.assertEqual(col, AxisCollection((self.lipro, self.sex, self.age)))
+        self.assertEqual(col, (self.lipro, self.sex, self.age))
+        self.assertNotEqual(col, (self.lipro, self.age, self.sex))
+
+    def test_getitem_name(self):
+        col = self.collection
+        self.assert_axis_eq(col['lipro'], self.lipro)
+        self.assert_axis_eq(col['sex'], self.sex)
+        self.assert_axis_eq(col['age'], self.age)
+
+    def test_getitem_int(self):
+        col = self.collection
+        self.assert_axis_eq(col[0], self.lipro)
+        self.assert_axis_eq(col[-3], self.lipro)
+        self.assert_axis_eq(col[1], self.sex)
+        self.assert_axis_eq(col[-2], self.sex)
+        self.assert_axis_eq(col[2], self.age)
+        self.assert_axis_eq(col[-1], self.age)
+
+    def test_getitem_slice(self):
+        col = self.collection[:2]
+        self.assertEqual(len(col), 2)
+        self.assert_axis_eq(col[0], self.lipro)
+        self.assert_axis_eq(col[1], self.sex)
+
+    def test_setitem_name(self):
+        col = self.collection[:]
+        # replace an axis with one with another name
+        col['lipro'] = self.geo
+        self.assertEqual(len(col), 3)
+        self.assertEqual(col, [self.geo, self.sex, self.age])
+        # replace an axis with one with the same name
+        col['sex'] = self.sex2
+        self.assertEqual(col, [self.geo, self.sex2, self.age])
+        col['geo'] = self.lipro
+        self.assertEqual(col, [self.lipro, self.sex2, self.age])
+        col['age'] = self.geo
+        self.assertEqual(col, [self.lipro, self.sex2, self.geo])
+        col['sex'] = self.sex
+        col['geo'] = self.age
+        self.assertEqual(col, self.collection)
+
+    def test_setitem_name_axis_def(self):
+        col = self.collection[:]
+        # replace an axis with one with another name
+        col['lipro'] = 'geo=A11,A12,A13'
+        self.assertEqual(len(col), 3)
+        self.assertEqual(col, [self.geo, self.sex, self.age])
+        # replace an axis with one with the same name
+        col['sex'] = 'sex=F,M'
+        self.assertEqual(col, [self.geo, self.sex2, self.age])
+        col['geo'] = 'lipro=P01..P04'
+        self.assertEqual(col, [self.lipro, self.sex2, self.age])
+        col['age'] = 'geo=A11,A12,A13'
+        self.assertEqual(col, [self.lipro, self.sex2, self.geo])
+        col['sex'] = 'sex=M,F'
+        col['geo'] = 'age=0..7'
+        self.assertEqual(col, self.collection)
+
+    def test_setitem_int(self):
+        col = self.collection[:]
+        col[1] = self.geo
+        self.assertEqual(len(col), 3)
+        self.assertEqual(col, [self.lipro, self.geo, self.age])
+        col[2] = self.sex
+        self.assertEqual(col, [self.lipro, self.geo, self.sex])
+        col[-1] = self.age
+        self.assertEqual(col, [self.lipro, self.geo, self.age])
+
+    def test_setitem_list_replace(self):
+        col = self.collection[:]
+        col[['lipro', 'age']] = [self.geo, self.lipro]
+        self.assertEqual(col, [self.geo, self.sex, self.lipro])
+
+    def test_setitem_slice_replace(self):
+        col = self.collection[:]
+        # replace by list
+        col[1:] = [self.geo, self.sex]
+        self.assertEqual(col, [self.lipro, self.geo, self.sex])
+        # replace by collection
+        col[1:] = self.collection[1:]
+        self.assertEqual(col, self.collection)
+
+    def test_setitem_slice_insert(self):
+        col = self.collection[:]
+        col[1:1] = [self.geo]
+        self.assertEqual(col, [self.lipro, self.geo, self.sex, self.age])
+
+    def test_setitem_slice_delete(self):
+        col = self.collection[:]
+        col[1:2] = []
+        self.assertEqual(col, [self.lipro, self.age])
+        col[0:1] = []
+        self.assertEqual(col, [self.age])
+
+    def assert_axis_eq(self, axis1, axis2):
+        self.assertTrue(axis1.equals(axis2))
+
+    def test_delitem(self):
+        col = self.collection[:]
+        self.assertEqual(len(col), 3)
+        del col[0]
+        self.assertEqual(len(col), 2)
+        self.assert_axis_eq(col[0], self.sex)
+        self.assert_axis_eq(col[1], self.age)
+        del col['age']
+        self.assertEqual(len(col), 1)
+        self.assert_axis_eq(col[0], self.sex)
+        del col[self.sex]
+        self.assertEqual(len(col), 0)
+
+    def test_delitem_slice(self):
+        col = self.collection[:]
+        self.assertEqual(len(col), 3)
+        del col[0:2]
+        self.assertEqual(len(col), 1)
+        self.assertEqual(col, [self.age])
+        del col[:]
+        self.assertEqual(len(col), 0)
+
+    def test_pop(self):
+        col = self.collection[:]
+        lipro, sex, age = col
+        self.assertEqual(len(col), 3)
+        self.assertIs(col.pop(), age)
+        self.assertEqual(len(col), 2)
+        self.assertIs(col[0], lipro)
+        self.assertIs(col[1], sex)
+        self.assertIs(col.pop(), sex)
+        self.assertEqual(len(col), 1)
+        self.assertIs(col[0], lipro)
+        self.assertIs(col.pop(), lipro)
+        self.assertEqual(len(col), 0)
+
+    def test_replace(self):
+        col = self.collection[:]
+        newcol = col.replace('sex', self.geo)
+        # original collection is not modified
+        self.assertEqual(col, self.collection)
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', 'geo', 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+        newcol = newcol.replace(self.geo, self.sex)
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', 'sex', 'age'])
+        self.assertEqual(newcol.shape, (4, 2, 8))
+
+        # from now on, reuse original collection
+        newcol = col.replace(self.sex, 3)
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', None, 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+
+        newcol = col.replace(self.sex, ['a', 'b', 'c'])
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', None, 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+
+        newcol = col.replace(self.sex, "letters=a,b,c")
+        self.assertEqual(len(newcol), 3)
+        self.assertEqual(newcol.names, ['lipro', 'letters', 'age'])
+        self.assertEqual(newcol.shape, (4, 3, 8))
+
+    # TODO: add contains_test (using both axis name and axis objects)
+    def test_get(self):
+        col = self.collection
+        self.assert_axis_eq(col.get('lipro'), self.lipro)
+        self.assertIsNone(col.get('nonexisting'))
+        self.assertIs(col.get('nonexisting', self.value), self.value)
+
+    def test_keys(self):
+        self.assertEqual(self.collection.keys(), ['lipro', 'sex', 'age'])
+
+    def test_getattr(self):
+        col = self.collection
+        self.assert_axis_eq(col.lipro, self.lipro)
+        self.assert_axis_eq(col.sex, self.sex)
+        self.assert_axis_eq(col.age, self.age)
+
+    def test_append(self):
+        col = self.collection
+        geo = Axis('geo=A11,A12,A13')
+        col.append(geo)
+        self.assertEqual(col, [self.lipro, self.sex, self.age, geo])
+
+    def test_extend(self):
+        col = self.collection
+        col.extend([self.geo, self.value])
+        self.assertEqual(col,
+                         [self.lipro, self.sex, self.age, self.geo, self.value])
+
+    def test_insert(self):
+        col = self.collection
+        col.insert(1, self.geo)
+        self.assertEqual(col, [self.lipro, self.geo, self.sex, self.age])
+
+    def test_add(self):
+        col = self.collection.copy()
+        lipro, sex, age = self.lipro, self.sex, self.age
+        geo, value = self.geo, self.value
+
+        # 1) list
+        # a) no dupe
+        new = col + [self.geo, value]
+        self.assertEqual(new, [lipro, sex, age, geo, value])
+        # check the original has not been modified
+        self.assertEqual(col, self.collection)
+
+        # b) with compatible dupe
+        # the "new" age axis is ignored (because it is compatible)
+        new = col + [Axis('geo=A11,A12,A13'), Axis('age=0..7')]
+        self.assertEqual(new, [lipro, sex, age, geo])
+
+        # c) with incompatible dupe
+        # XXX: the "new" age axis is ignored. We might want to ignore it if it
+        #  is the same but raise an exception if it is different
+        with self.assertRaises(ValueError):
+            col + [Axis('geo=A11,A12,A13'), Axis('age=0..6')]
+
+        # 2) other AxisCollection
+        new = col + AxisCollection([geo, value])
+        self.assertEqual(new, [lipro, sex, age, geo, value])
+
+    def test_combine(self):
+        col = self.collection.copy()
+        lipro, sex, age = self.lipro, self.sex, self.age
+        res = col.combine_axes((lipro, sex))
+        self.assertEqual(res.names, ['lipro_sex', 'age'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4 * 2, 8))
+        print(res.info)
+        assert_array_equal(res.lipro_sex.labels[0], 'P01_M')
+        res = col.combine_axes((lipro, age))
+        self.assertEqual(res.names, ['lipro_age', 'sex'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4 * 8, 2))
+        assert_array_equal(res.lipro_age.labels[0], 'P01_0')
+        res = col.combine_axes((sex, age))
+        self.assertEqual(res.names, ['lipro', 'sex_age'])
+        self.assertEqual(res.size, col.size)
+        self.assertEqual(res.shape, (4, 2 * 8))
+        assert_array_equal(res.sex_age.labels[0], 'M_0')
+
+    def test_info(self):
+        expected = """\
+4 x 2 x 8
+ lipro [4]: 'P01' 'P02' 'P03' 'P04'
+ sex [2]: 'M' 'F'
+ age [8]: 0 1 2 ... 5 6 7"""
+        self.assertEqual(self.collection.info, expected)
+
+    def test_str(self):
+        self.assertEqual(str(self.collection), "{lipro, sex, age}")
+
+    def test_repr(self):
+        self.assertEqual(repr(self.collection), """AxisCollection([
+    Axis(['P01', 'P02', 'P03', 'P04'], 'lipro'),
+    Axis(['M', 'F'], 'sex'),
+    Axis([0, 1, 2, 3, 4, 5, 6, 7], 'age')
+])""")
+
+
+if __name__ == "__main__":
+    pytest.main()
\ No newline at end of file
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 5e492cd4b..a83c49ef4 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -1,13 +1,14 @@
 from __future__ import absolute_import, division, print_function
 
 import pytest
+
 try:
     import xlwings as xw
 except ImportError:
     xw = None
 
 from larray import open_excel
-from larray import excel
+from larray.io import excel
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
@@ -73,3 +74,7 @@ def test_rename(self):
             wb['sheet_name'] = 'sheet content'
             wb['sheet_name'].name = 'renamed'
             assert wb.sheet_names() == ['renamed']
+
+
+if __name__ == "__main__":
+    pytest.main()
\ No newline at end of file
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
new file mode 100644
index 000000000..8215868d4
--- /dev/null
+++ b/larray/tests/test_group.py
@@ -0,0 +1,236 @@
+from __future__ import absolute_import, division, print_function
+
+from unittest import TestCase
+
+import pytest
+import numpy as np
+
+from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray import Axis, LGroup, LSet
+
+class TestLGroup(TestCase):
+    def setUp(self):
+        self.age = Axis('age=0..10')
+        self.lipro = Axis('lipro=P01..P05')
+        self.anonymous = Axis(range(3))
+
+        self.slice_both_named_wh_named_axis = LGroup('1:5', "full", self.age)
+        self.slice_both_named = LGroup('1:5', "named")
+        self.slice_both = LGroup('1:5')
+        self.slice_start = LGroup('1:')
+        self.slice_stop = LGroup(':5')
+        self.slice_none_no_axis = LGroup(':')
+        self.slice_none_wh_named_axis = LGroup(':', axis=self.lipro)
+        self.slice_none_wh_anonymous_axis = LGroup(':', axis=self.anonymous)
+
+        self.single_value = LGroup('P03')
+        self.list = LGroup('P01,P03,P04')
+        self.list_named = LGroup('P01,P03,P04', "P134")
+
+    def test_init(self):
+        self.assertEqual(self.slice_both_named_wh_named_axis.name, "full")
+        self.assertEqual(self.slice_both_named_wh_named_axis.key, slice(1, 5, None))
+        self.assertIs(self.slice_both_named_wh_named_axis.axis, self.age)
+
+        self.assertEqual(self.slice_both_named.name, "named")
+        self.assertEqual(self.slice_both_named.key, slice(1, 5, None))
+
+        self.assertEqual(self.slice_both.key, slice(1, 5, None))
+        self.assertEqual(self.slice_start.key, slice(1, None, None))
+        self.assertEqual(self.slice_stop.key, slice(None, 5, None))
+        self.assertEqual(self.slice_none_no_axis.key, slice(None, None, None))
+        self.assertIs(self.slice_none_wh_named_axis.axis, self.lipro)
+        self.assertIs(self.slice_none_wh_anonymous_axis.axis, self.anonymous)
+
+        self.assertEqual(self.single_value.key, 'P03')
+        self.assertEqual(self.list.key, ['P01', 'P03', 'P04'])
+
+    def test_eq(self):
+        # with axis vs no axis do not compare equal
+        # self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)
+        self.assertEqual(self.slice_both, self.slice_both_named)
+
+        res = self.slice_both_named_wh_named_axis == self.age[1:5]
+        self.assertIsInstance(res, np.ndarray)
+        self.assertEqual(res.shape, (5,))
+        self.assertTrue(res.all())
+
+        self.assertEqual(self.slice_both, LGroup(slice(1, 5)))
+        self.assertEqual(self.slice_start, LGroup(slice(1, None)))
+        self.assertEqual(self.slice_stop, LGroup(slice(5)))
+        self.assertEqual(self.slice_none_no_axis, LGroup(slice(None)))
+
+        self.assertEqual(self.single_value, LGroup('P03'))
+        self.assertEqual(self.list, LGroup(['P01', 'P03', 'P04']))
+        self.assertEqual(self.list_named, LGroup(['P01', 'P03', 'P04']))
+
+        # test with raw objects
+        self.assertEqual(self.slice_both, slice(1, 5))
+        self.assertEqual(self.slice_start, slice(1, None))
+        self.assertEqual(self.slice_stop, slice(5))
+        self.assertEqual(self.slice_none_no_axis, slice(None))
+
+        self.assertEqual(self.single_value, 'P03')
+        self.assertEqual(self.list, ['P01', 'P03', 'P04'])
+        self.assertEqual(self.list_named, ['P01', 'P03', 'P04'])
+
+    def test_sorted(self):
+        self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
+                         [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
+
+    def test_asarray(self):
+        assert_array_equal(np.asarray(self.slice_both_named_wh_named_axis), np.array([1, 2, 3, 4, 5]))
+        assert_array_equal(np.asarray(self.slice_none_wh_named_axis), np.array(['P01', 'P02', 'P03', 'P04', 'P05']))
+
+    def test_hash(self):
+        # this test is a lot less important than what it used to, because we cannot have Group ticks on an axis anymore
+        d = {self.slice_both: 1,
+             self.single_value: 2,
+             self.list_named: 3}
+        # target a LGroup with an equivalent LGroup
+        self.assertEqual(d.get(self.slice_both), 1)
+        self.assertEqual(d.get(self.single_value), 2)
+        self.assertEqual(d.get(self.list), 3)
+        self.assertEqual(d.get(self.list_named), 3)
+
+    def test_repr(self):
+        self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
+        self.assertEqual(repr(self.slice_both_named),
+                         "LGroup(slice(1, 5, None)) >> 'named'")
+        self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
+        self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P04'])")
+        self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
+        self.assertEqual(repr(self.slice_none_wh_named_axis), "lipro[:]")
+        self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
+                         "LGroup(slice(None, None, None), axis=Axis([0, 1, 2], None))")
+
+
+class TestLSet(TestCase):
+    def test_or(self):
+        # without axis
+        self.assertEqual(LSet(['a', 'b']) | LSet(['c', 'd']),
+                         LSet(['a', 'b', 'c', 'd']))
+        self.assertEqual(LSet(['a', 'b', 'c']) | LSet(['c', 'd']),
+                         LSet(['a', 'b', 'c', 'd']))
+        # with axis (pure)
+        alpha = Axis('alpha=a,b,c,d')
+        res = alpha['a', 'b'].set() | alpha['c', 'd'].set()
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'].set(),
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # with axis (mixed)
+        alpha = Axis('alpha=a,b,c,d')
+        res = alpha['a', 'b'].set() | alpha['c', 'd']
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # with axis & name
+        alpha = Axis('alpha=a,b,c,d')
+        res = alpha['a', 'b'].set().named('ab') | alpha['c', 'd'].set().named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'ab | cd')
+        self.assertEqual(res, alpha['a', 'b', 'c', 'd'].set())
+        self.assertEqual(alpha['a', 'b', 'c'].set() | alpha['c', 'd'],
+                         alpha['a', 'b', 'c', 'd'].set())
+
+        # numeric axis
+        num = Axis(range(10), 'num')
+        # single int
+        self.assertEqual(num[1, 5, 3].set() | 4, num[1, 5, 3, 4].set())
+        self.assertEqual(num[1, 5, 3].set() | num[4], num[1, 5, 3, 4].set())
+        self.assertEqual(num[4].set() | num[1, 5, 3], num[4, 1, 5, 3].set())
+        # slices
+        self.assertEqual(num[:2].set() | num[8:], num[0, 1, 2, 8, 9].set())
+        self.assertEqual(num[:2].set() | num[5], num[0, 1, 2, 5].set())
+
+    def test_and(self):
+        # without axis
+        self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']),
+                         LSet(['c']))
+        # with axis & name
+        alpha = Axis('alpha=a,b,c,d')
+        res = alpha['a', 'b', 'c'].named('abc').set() & alpha['c', 'd'].named('cd')
+        self.assertIs(res.axis, alpha)
+        self.assertEqual(res.name, 'abc & cd')
+        self.assertEqual(res, alpha[['c']].set())
+
+    def test_sub(self):
+        self.assertEqual(LSet(['a', 'b', 'c']) - LSet(['c', 'd']),
+                         LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - ['c', 'd'],
+                         LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - 'b',
+                         LSet(['a', 'c']))
+        self.assertEqual(LSet([1, 2, 3]) - 4, LSet([1, 2, 3]))
+        self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
+
+
+class TestPGroup(TestCase):
+    def _assert_array_equal_is_true_array(self, a, b):
+        res = a == b
+        self.assertIsInstance(res, np.ndarray)
+        self.assertEqual(res.shape, np.asarray(b).shape)
+        self.assertTrue(res.all())
+
+    def setUp(self):
+        self.code_axis = Axis('code=a0..a4')
+
+        self.slice_both_named = self.code_axis.i[1:4] >> 'a123'
+        self.slice_both = self.code_axis.i[1:4]
+        self.slice_start = self.code_axis.i[1:]
+        self.slice_stop = self.code_axis.i[:4]
+        self.slice_none = self.code_axis.i[:]
+
+        self.first_value = self.code_axis.i[0]
+        self.last_value = self.code_axis.i[-1]
+        self.list = self.code_axis.i[[0, 1, -2, -1]]
+        self.tuple = self.code_axis.i[0, 1, -2, -1]
+
+    def test_asarray(self):
+        assert_array_equal(np.asarray(self.slice_both), np.array(['a1', 'a2', 'a3']))
+
+    def test_eq(self):
+        self._assert_array_equal_is_true_array(self.slice_both, ['a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_both_named, ['a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_both, self.slice_both_named)
+        self._assert_array_equal_is_true_array(self.slice_both_named, self.slice_both)
+        self._assert_array_equal_is_true_array(self.slice_start, ['a1', 'a2', 'a3', 'a4'])
+        self._assert_array_equal_is_true_array(self.slice_stop, ['a0', 'a1', 'a2', 'a3'])
+        self._assert_array_equal_is_true_array(self.slice_none, ['a0', 'a1', 'a2', 'a3', 'a4'])
+
+        self.assertEqual(self.first_value, 'a0')
+        self.assertEqual(self.last_value, 'a4')
+
+        self._assert_array_equal_is_true_array(self.list, ['a0', 'a1', 'a3', 'a4'])
+        self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
+
+    def test_getattr(self):
+        agg = Axis(['a1:a2', ':a2', 'a1:'], 'agg')
+        self.assertEqual(agg.i[0].split(':'), ['a1', 'a2'])
+        self.assertEqual(agg.i[1].split(':'), ['', 'a2'])
+        self.assertEqual(agg.i[2].split(':'), ['a1', ''])
+
+    def test_dir(self):
+        agg = Axis(['a', 1], 'agg')
+        self.assertTrue('split' in dir(agg.i[0]))
+        self.assertTrue('strip' in dir(agg.i[0]))
+        self.assertTrue('strip' in dir(agg.i[0]))
+
+    def test_repr(self):
+        self.assertEqual(repr(self.slice_both_named), "code.i[1:4] >> 'a123'")
+        self.assertEqual(repr(self.slice_both), "code.i[1:4]")
+        self.assertEqual(repr(self.slice_start), "code.i[1:]")
+        self.assertEqual(repr(self.slice_stop), "code.i[:4]")
+        self.assertEqual(repr(self.slice_none), "code.i[:]")
+        self.assertEqual(repr(self.first_value), "code.i[0]")
+        self.assertEqual(repr(self.last_value), "code.i[-1]")
+        self.assertEqual(repr(self.list), "code.i[0, 1, -2, -1]")
+        self.assertEqual(repr(self.tuple), "code.i[0, 1, -2, -1]")
+
+
+if __name__ == "__main__":
+    pytest.main()
\ No newline at end of file
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index 0c00c2d58..af3f5bb6f 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -1,11 +1,11 @@
 from __future__ import absolute_import, division, print_function
 
 from unittest import TestCase
+
 import pytest
 
-from larray import Axis, LArray, ndrange
-from larray.tests.test_la import assert_array_equal
-from larray.ipfp import ipfp
+from larray import Axis, LArray, ndrange, ipfp
+from larray.tests.common import assert_array_equal
 
 
 class TestIPFP(TestCase):
@@ -87,5 +87,7 @@ def test_ipfp_non_larray(self):
         r = ipfp([[2, 1], [1, 2]], initial)
         assert_array_equal(r, [[0.8, 0.2], [1.0, 1.0]])
 
+
 if __name__ == "__main__":
-    unittest.main()
+    pytest.main()
+
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 0dd3eff98..b61368ca9 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -2,12 +2,12 @@
 
 from unittest import TestCase
 
-import pytest
 import numpy as np
+import pytest
 
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
-from larray.tests.test_la import assert_array_nan_equal, abspath
-from larray.utils import pickle
+from larray.tests.common import assert_array_nan_equal, abspath
+from larray.util.misc import pickle
 
 try:
     import xlwings as xw
@@ -270,8 +270,4 @@ def test_pickle_roundtrip(self):
 
 
 if __name__ == "__main__":
-    # import doctest
-    # import unittest
-    # doctest.testmod(larray.core)
-    # unittest.main()
     pytest.main()
diff --git a/larray/util/__init__.py b/larray/util/__init__.py
new file mode 100644
index 000000000..d1153d414
--- /dev/null
+++ b/larray/util/__init__.py
@@ -0,0 +1,2 @@
+from __future__ import absolute_import, division, print_function
+
diff --git a/larray/utils.py b/larray/util/misc.py
similarity index 83%
rename from larray/utils.py
rename to larray/util/misc.py
index 9cb183da4..904348da0 100644
--- a/larray/utils.py
+++ b/larray/util/misc.py
@@ -456,3 +456,113 @@ def error_handler(error, flag):
             extra = ''
         warnings.warn("{} encountered during operation{}".format(error, extra), RuntimeWarning, stacklevel=stacklevel)
     return error_handler
+
+
+def _isintstring(s):
+    return s.isdigit() or (len(s) > 1 and s[0] == '-' and s[1:].isdigit())
+
+
+def _parse_bound(s, stack_depth=1, parse_int=True):
+    """Parse a string representing a single value, converting int-like
+    strings to integers and evaluating expressions within {}.
+
+    Parameters
+    ----------
+    s : str
+        string to evaluate
+    stack_depth : int
+        how deep to go in the stack to get local variables for evaluating
+        {expressions}.
+
+    Returns
+    -------
+    any
+
+    Examples
+    --------
+
+    >>> _parse_bound(' a ')
+    'a'
+    >>> # returns None
+    >>> _parse_bound(' ')
+    >>> ext = 1
+    >>> _parse_bound(' {ext + 1} ')
+    2
+    >>> _parse_bound('42')
+    42
+    """
+    s = s.strip()
+    if s == '':
+        return None
+    elif s[0] == '{':
+        expr = s[1:find_closing_chr(s)]
+        return eval(expr, sys._getframe(stack_depth).f_locals)
+    elif parse_int and _isintstring(s):
+        return int(s)
+    else:
+        return s
+
+
+def _isnoneslice(v):
+    """
+    Checks if input is slice(None) object.
+    """
+    return isinstance(v, slice) and v.start is None and v.stop is None and v.step is None
+
+
+def _seq_summary(seq, n=3, repr_func=repr, sep=' '):
+    """
+    Returns a string representing a sequence by showing only the n first and last elements.
+
+    Examples
+    --------
+    >>> _seq_summary(range(10), 2)
+    '0 1 ... 8 9'
+    """
+    if len(seq) <= 2 * n:
+        short_seq = [repr_func(v) for v in seq]
+    else:
+        short_seq = [repr_func(v) for v in seq[:n]] + ['...'] + [repr_func(v) for v in seq[-n:]]
+    return sep.join(short_seq)
+
+
+def index_by_id(seq, value):
+    """
+    Returns position of an object in a sequence.
+    Raises an error if the object is not in the list.
+
+    Parameters
+    ----------
+    seq : sequence
+        Any sequence (list, tuple, str, unicode).
+
+    value : object
+        Object for which you want to retrieve its position
+        in the sequence.
+
+    Raises
+    ------
+    ValueError
+        If `value` object is not contained in the sequence.
+
+    Examples
+    --------
+    >>> from larray import Axis
+    >>> age = Axis('age=0..9')
+    >>> sex = Axis('sex=M,F')
+    >>> time = Axis('time=2007..2010')
+    >>> index_by_id([age, sex, time], sex)
+    1
+    >>> gender = Axis('sex=M,F')
+    >>> index_by_id([age, sex, time], gender)
+    Traceback (most recent call last):
+        ...
+    ValueError: sex is not in list
+    >>> gender = sex
+    >>> index_by_id([age, sex, time], gender)
+    1
+    """
+    for i, item in enumerate(seq):
+        if item is value:
+            return i
+    raise ValueError("%s is not in list" % value)
diff --git a/larray/oset.py b/larray/util/oset.py
similarity index 98%
rename from larray/oset.py
rename to larray/util/oset.py
index 89f7c8ff3..e99340980 100644
--- a/larray/oset.py
+++ b/larray/util/oset.py
@@ -6,7 +6,7 @@
 # This module is part of SQLAlchemy and is released under
 # the MIT License: http://www.opensource.org/licenses/mit-license.php
 
-from larray.utils import unique_list
+from larray.util.misc import unique_list
 
 
 class OrderedSet(set):
diff --git a/setup.cfg b/setup.cfg
index 2553ec7a2..568b1fdf0 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -5,6 +5,6 @@ test=pytest
 testpaths = larray
 # exclude (doc)tests from ufuncs (because docstrings are copied from numpy
 # and many of those doctests are failing
-addopts = -v --doctest-modules --ignore=larray/ufuncs.py
+addopts = -v --doctest-modules --ignore=larray/core/ufuncs.py
 #--maxfail=1 --cov (requires pytest-cov) --pep8 (requires pytest-pep8)
 #pep8maxlinelength = 119

From 1e3bd65c95ed9eea9c5b029567f5dd7d660d89f7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 18 May 2017 16:14:03 +0200
Subject: [PATCH 567/899] moved ABC classes from group.py to new module abc.py

---
 larray/core/abc.py   | 12 ++++++++++++
 larray/core/array.py |  4 ++--
 larray/core/axis.py  |  6 +++---
 larray/core/group.py | 14 +-------------
 4 files changed, 18 insertions(+), 18 deletions(-)
 create mode 100644 larray/core/abc.py

diff --git a/larray/core/abc.py b/larray/core/abc.py
new file mode 100644
index 000000000..619a29b00
--- /dev/null
+++ b/larray/core/abc.py
@@ -0,0 +1,12 @@
+from abc import ABCMeta
+
+# define abstract base classes to enable isinstance type checking on our objects
+# idea taken from https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/generic.py
+class ABCAxis(object):
+    __metaclass__ = ABCMeta
+
+class ABCAxisReference(ABCAxis):
+    __metaclass__ = ABCMeta
+
+class ABCLArray(object):
+    __metaclass__ = ABCMeta
\ No newline at end of file
diff --git a/larray/core/array.py b/larray/core/array.py
index cf7bfd7a4..322a3b0ec 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -102,9 +102,9 @@
 except ImportError:
     np_nanprod = None
 
+from larray.core.abc import ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (ABCLArray, Group, PGroup, LGroup, remove_nested_groups,
-                               _to_key, _to_keys, _range_to_slice)
+from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
 from larray.core.axis import Axis, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, unique, decode, basestring, izip, rproduct, ReprString, StringIO,
                               duplicates, float_error_handler_factory, csv_open, skip_comment_cells, strip_rows,
diff --git a/larray/core/axis.py b/larray/core/axis.py
index e3c726b8f..ab2f36783 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -8,10 +8,10 @@
 
 import numpy as np
 
+from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (ABCAxis, ABCAxisReference, ABCLArray, Group, LGroup, PGroup, PGroupMaker,
-                               _to_tick, _to_ticks, _to_key, _seq_summary, _contain_group_ticks,
-                               _seq_group_to_name)
+from larray.core.group import (Group, LGroup, PGroup, PGroupMaker, _to_tick, _to_ticks, _to_key,
+                               _seq_summary, _contain_group_ticks, _seq_group_to_name)
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id
 
diff --git a/larray/core/group.py b/larray/core/group.py
index 1d8de8e68..f4c15b546 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -4,29 +4,17 @@
 import re
 import sys
 from itertools import product, chain
-from abc import ABCMeta
 
 import numpy as np
 import pandas as pd
 
+from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary
 
 __all__ = ['LGroup', 'LSet', 'PGroup', 'union']
 
 
-# define abstract base classes to enable isinstance type checking on our objects
-# idea taken from https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/generic.py
-class ABCAxis(object):
-    __metaclass__ = ABCMeta
-
-class ABCAxisReference(ABCAxis):
-    __metaclass__ = ABCMeta
-
-class ABCLArray(object):
-    __metaclass__ = ABCMeta
-
-
 def _slice_to_str(key, repr_func=str):
     """
     Converts a slice to a string

From c5e1196e7aca7f0e9887e3c67d75e77f387c5b9b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 18 May 2017 16:23:18 +0200
Subject: [PATCH 568/899] moved FileHandler classes from core/session.py to new
 module io/session.py

---
 larray/core/session.py | 272 +---------------------------------------
 larray/io/session.py   | 274 +++++++++++++++++++++++++++++++++++++++++
 2 files changed, 277 insertions(+), 269 deletions(-)
 create mode 100644 larray/io/session.py

diff --git a/larray/core/session.py b/larray/core/session.py
index 2105338cc..9b6ef2b13 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -6,277 +6,11 @@
 from collections import OrderedDict
 
 import numpy as np
-from pandas import ExcelWriter, ExcelFile, HDFStore
 
 from larray.core.axis import Axis
-from larray.core.array import LArray, larray_nan_equal, get_axes, df_aslarray, read_csv, read_hdf
-from larray.util.misc import float_error_handler_factory, pickle
-from larray.io.excel import open_excel
-
-try:
-    import xlwings as xw
-except ImportError:
-    xw = None
-
-
-def check_pattern(k, pattern):
-    return k.startswith(pattern)
-
-
-class FileHandler(object):
-    """
-    Abstract class defining the methods for
-    "file handler" subclasses.
-
-    Parameters
-    ----------
-    fname : str
-        Filename.
-
-    Attributes
-    ----------
-    fname : str
-        Filename.
-    """
-    def __init__(self, fname):
-        self.fname = fname
-
-    def _open_for_read(self):
-        raise NotImplementedError()
-
-    def _open_for_write(self):
-        raise NotImplementedError()
-
-    def list(self):
-        """
-        Returns the list of arrays' names.
-        """
-        raise NotImplementedError()
-
-    def _read_array(self, key, *args, **kwargs):
-        raise NotImplementedError()
-
-    def _dump(self, key, value, *args, **kwargs):
-        raise NotImplementedError()
-
-    def save(self):
-        """
-        Saves arrays in file.
-        """
-        pass
-
-    def close(self):
-        """
-        Closes file.
-        """
-        raise NotImplementedError()
-
-    def read_arrays(self, keys, *args, **kwargs):
-        """
-        Reads file content (HDF, Excel, CSV, ...)
-        and returns a dictionary containing
-        loaded arrays.
-
-        Parameters
-        ----------
-        keys : list of str
-            List of arrays' names.
-        kwargs :
-            * display: a small message is displayed to tell when
-              an array is started to be read and when it's done.
-
-        Returns
-        -------
-        OrderedDict(str, LArray)
-            Dictionary containing the loaded arrays.
-        """
-        display = kwargs.pop('display', False)
-        self._open_for_read()
-        res = OrderedDict()
-        if keys is None:
-            keys = self.list()
-        for key in keys:
-            if display:
-                print("loading", key, "...", end=' ')
-            res[key] = self._read_array(key, *args, **kwargs)
-            if display:
-                print("done")
-        self.close()
-        return res
-
-    def dump_arrays(self, key_values, *args, **kwargs):
-        """
-        Dumps arrays corresponds to keys in file
-        in HDF, Excel, CSV, ... format
-
-        Parameters
-        ----------
-        key_values : list of (str, LArray) pairs
-            Name and data of arrays to dump.
-        kwargs :
-            * display: whether or not to display when the dump of each array is started/done.
-        """
-        display = kwargs.pop('display', False)
-        self._open_for_write()
-        for key, value in key_values:
-            if display:
-                print("dumping", key, "...", end=' ')
-            self._dump(key, value, *args, **kwargs)
-            if display:
-                print("done")
-        self.save()
-        self.close()
-
-
-class PandasHDFHandler(FileHandler):
-    """
-    Handler for HDF5 files using Pandas.
-    """
-    def _open_for_read(self):
-        self.handle = HDFStore(self.fname, mode='r')
-
-    def _open_for_write(self):
-        self.handle = HDFStore(self.fname)
-
-    def list(self):
-        return [key.strip('/') for key in self.handle.keys()]
-
-    def _to_hdf_key(self, key):
-        return '/' + key
-
-    def _read_array(self, key, *args, **kwargs):
-        return read_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
-
-    def _dump(self, key, value, *args, **kwargs):
-        value.to_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
-
-    def close(self):
-        self.handle.close()
-
-
-class PandasExcelHandler(FileHandler):
-    """
-    Handler for Excel files using Pandas.
-    """
-    def _open_for_read(self):
-        self.handle = ExcelFile(self.fname)
-
-    def _open_for_write(self):
-        self.handle = ExcelWriter(self.fname)
-
-    def list(self):
-        return self.handle.sheet_names
-
-    def _read_array(self, key, *args, **kwargs):
-        df = self.handle.parse(key, *args, **kwargs)
-        return df_aslarray(df)
-
-    def _dump(self, key, value, *args, **kwargs):
-        kwargs['engine'] = 'xlsxwriter'
-        value.to_excel(self.handle, key, *args, **kwargs)
-
-    def close(self):
-        self.handle.close()
-
-
-class XLWingsHandler(FileHandler):
-    """
-    Handler for Excel files using XLWings.
-    """
-    def _open_for_read(self):
-        self.handle = open_excel(self.fname)
-
-    def _open_for_write(self):
-        self.handle = open_excel(self.fname)
-
-    def list(self):
-        return self.handle.sheet_names()
-
-    def _read_array(self, key, *args, **kwargs):
-        return self.handle[key].load(*args, **kwargs)
-
-    def _dump(self, key, value, *args, **kwargs):
-        self.handle[key] = value.dump(*args, **kwargs)
-
-    def save(self):
-        self.handle.save()
-
-    def close(self):
-        self.handle.close()
-
-
-class PandasCSVHandler(FileHandler):
-    def _open_for_read(self):
-        pass
-
-    def _open_for_write(self):
-        if self.fname is not None:
-            try:
-                os.makedirs(self.fname)
-            except OSError:
-                if not os.path.isdir(self.fname):
-                    raise ValueError("Path {} must represent a directory".format(self.fname))
-
-    def list(self):
-        # strip extension from files
-        # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
-        if self.fname is not None:
-            return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
-        else:
-            return []
-
-    def _to_filepath(self, key):
-        if self.fname is not None:
-            return os.path.join(self.fname, '{}.csv'.format(key))
-        else:
-            return key
-
-    def _read_array(self, key, *args, **kwargs):
-        return read_csv(self._to_filepath(key), *args, **kwargs)
-
-    def _dump(self, key, value, *args, **kwargs):
-        value.to_csv(self._to_filepath(key), *args, **kwargs)
-
-    def close(self):
-        pass
-
-
-class PickleHandler(FileHandler):
-    def _open_for_read(self):
-        with open(self.fname, 'rb') as f:
-            self.data = pickle.load(f)
-
-    def _open_for_write(self):
-        self.data = OrderedDict()
-
-    def list(self):
-        return self.data.keys()
-
-    def _read_array(self, key):
-        return self.data[key]
-
-    def _dump(self, key, value):
-        self.data[key] = value
-
-    def close(self):
-        with open(self.fname, 'wb') as f:
-            pickle.dump(self.data, f)
-
-
-handler_classes = {
-    'pickle': PickleHandler,
-    'pandas_csv': PandasCSVHandler,
-    'pandas_hdf': PandasHDFHandler,
-    'pandas_excel': PandasExcelHandler,
-    'xlwings_excel': XLWingsHandler,
-}
-
-ext_default_engine = {
-    'csv': 'pandas_csv',
-    'h5': 'pandas_hdf', 'hdf': 'pandas_hdf',
-    'pkl': 'pickle', 'pickle': 'pickle',
-    'xls': 'xlwings_excel', 'xlsx': 'xlwings_excel',
-}
+from larray.core.array import LArray, larray_nan_equal, get_axes
+from larray.util.misc import float_error_handler_factory
+from larray.io.session import check_pattern, handler_classes, ext_default_engine
 
 
 # XXX: inherit from OrderedDict or LArray?
diff --git a/larray/io/session.py b/larray/io/session.py
new file mode 100644
index 000000000..bb5514c46
--- /dev/null
+++ b/larray/io/session.py
@@ -0,0 +1,274 @@
+from __future__ import absolute_import, division, print_function
+
+import os
+from collections import OrderedDict
+from pandas import ExcelWriter, ExcelFile, HDFStore
+
+from larray.core.array import df_aslarray, read_csv, read_hdf
+from larray.util.misc import pickle
+from larray.io.excel import open_excel
+
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
+
+
+def check_pattern(k, pattern):
+    return k.startswith(pattern)
+
+
+class FileHandler(object):
+    """
+    Abstract class defining the methods for
+    "file handler" subclasses.
+
+    Parameters
+    ----------
+    fname : str
+        Filename.
+
+    Attributes
+    ----------
+    fname : str
+        Filename.
+    """
+    def __init__(self, fname):
+        self.fname = fname
+
+    def _open_for_read(self):
+        raise NotImplementedError()
+
+    def _open_for_write(self):
+        raise NotImplementedError()
+
+    def list(self):
+        """
+        Returns the list of arrays' names.
+        """
+        raise NotImplementedError()
+
+    def _read_array(self, key, *args, **kwargs):
+        raise NotImplementedError()
+
+    def _dump(self, key, value, *args, **kwargs):
+        raise NotImplementedError()
+
+    def save(self):
+        """
+        Saves arrays in file.
+        """
+        pass
+
+    def close(self):
+        """
+        Closes file.
+        """
+        raise NotImplementedError()
+
+    def read_arrays(self, keys, *args, **kwargs):
+        """
+        Reads file content (HDF, Excel, CSV, ...)
+        and returns a dictionary containing
+        loaded arrays.
+
+        Parameters
+        ----------
+        keys : list of str
+            List of arrays' names.
+        kwargs :
+            * display: a small message is displayed to tell when
+              an array is started to be read and when it's done.
+
+        Returns
+        -------
+        OrderedDict(str, LArray)
+            Dictionary containing the loaded arrays.
+        """
+        display = kwargs.pop('display', False)
+        self._open_for_read()
+        res = OrderedDict()
+        if keys is None:
+            keys = self.list()
+        for key in keys:
+            if display:
+                print("loading", key, "...", end=' ')
+            res[key] = self._read_array(key, *args, **kwargs)
+            if display:
+                print("done")
+        self.close()
+        return res
+
+    def dump_arrays(self, key_values, *args, **kwargs):
+        """
+        Dumps arrays corresponds to keys in file
+        in HDF, Excel, CSV, ... format
+
+        Parameters
+        ----------
+        key_values : list of (str, LArray) pairs
+            Name and data of arrays to dump.
+        kwargs :
+            * display: whether or not to display when the dump of each array is started/done.
+        """
+        display = kwargs.pop('display', False)
+        self._open_for_write()
+        for key, value in key_values:
+            if display:
+                print("dumping", key, "...", end=' ')
+            self._dump(key, value, *args, **kwargs)
+            if display:
+                print("done")
+        self.save()
+        self.close()
+
+
+class PandasHDFHandler(FileHandler):
+    """
+    Handler for HDF5 files using Pandas.
+    """
+    def _open_for_read(self):
+        self.handle = HDFStore(self.fname, mode='r')
+
+    def _open_for_write(self):
+        self.handle = HDFStore(self.fname)
+
+    def list(self):
+        return [key.strip('/') for key in self.handle.keys()]
+
+    def _to_hdf_key(self, key):
+        return '/' + key
+
+    def _read_array(self, key, *args, **kwargs):
+        return read_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
+
+    def _dump(self, key, value, *args, **kwargs):
+        value.to_hdf(self.handle, self._to_hdf_key(key), *args, **kwargs)
+
+    def close(self):
+        self.handle.close()
+
+
+class PandasExcelHandler(FileHandler):
+    """
+    Handler for Excel files using Pandas.
+    """
+    def _open_for_read(self):
+        self.handle = ExcelFile(self.fname)
+
+    def _open_for_write(self):
+        self.handle = ExcelWriter(self.fname)
+
+    def list(self):
+        return self.handle.sheet_names
+
+    def _read_array(self, key, *args, **kwargs):
+        df = self.handle.parse(key, *args, **kwargs)
+        return df_aslarray(df)
+
+    def _dump(self, key, value, *args, **kwargs):
+        kwargs['engine'] = 'xlsxwriter'
+        value.to_excel(self.handle, key, *args, **kwargs)
+
+    def close(self):
+        self.handle.close()
+
+
+class XLWingsHandler(FileHandler):
+    """
+    Handler for Excel files using XLWings.
+    """
+    def _open_for_read(self):
+        self.handle = open_excel(self.fname)
+
+    def _open_for_write(self):
+        self.handle = open_excel(self.fname)
+
+    def list(self):
+        return self.handle.sheet_names()
+
+    def _read_array(self, key, *args, **kwargs):
+        return self.handle[key].load(*args, **kwargs)
+
+    def _dump(self, key, value, *args, **kwargs):
+        self.handle[key] = value.dump(*args, **kwargs)
+
+    def save(self):
+        self.handle.save()
+
+    def close(self):
+        self.handle.close()
+
+
+class PandasCSVHandler(FileHandler):
+    def _open_for_read(self):
+        pass
+
+    def _open_for_write(self):
+        if self.fname is not None:
+            try:
+                os.makedirs(self.fname)
+            except OSError:
+                if not os.path.isdir(self.fname):
+                    raise ValueError("Path {} must represent a directory".format(self.fname))
+
+    def list(self):
+        # strip extension from files
+        # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
+        if self.fname is not None:
+            return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
+        else:
+            return []
+
+    def _to_filepath(self, key):
+        if self.fname is not None:
+            return os.path.join(self.fname, '{}.csv'.format(key))
+        else:
+            return key
+
+    def _read_array(self, key, *args, **kwargs):
+        return read_csv(self._to_filepath(key), *args, **kwargs)
+
+    def _dump(self, key, value, *args, **kwargs):
+        value.to_csv(self._to_filepath(key), *args, **kwargs)
+
+    def close(self):
+        pass
+
+
+class PickleHandler(FileHandler):
+    def _open_for_read(self):
+        with open(self.fname, 'rb') as f:
+            self.data = pickle.load(f)
+
+    def _open_for_write(self):
+        self.data = OrderedDict()
+
+    def list(self):
+        return self.data.keys()
+
+    def _read_array(self, key):
+        return self.data[key]
+
+    def _dump(self, key, value):
+        self.data[key] = value
+
+    def close(self):
+        with open(self.fname, 'wb') as f:
+            pickle.dump(self.data, f)
+
+
+handler_classes = {
+    'pickle': PickleHandler,
+    'pandas_csv': PandasCSVHandler,
+    'pandas_hdf': PandasHDFHandler,
+    'pandas_excel': PandasExcelHandler,
+    'xlwings_excel': XLWingsHandler,
+}
+
+ext_default_engine = {
+    'csv': 'pandas_csv',
+    'h5': 'pandas_hdf', 'hdf': 'pandas_hdf',
+    'pkl': 'pickle', 'pickle': 'pickle',
+    'xls': 'xlwings_excel', 'xlsx': 'xlwings_excel',
+}

From 2d859651c4d6fa8713b6ac8ee87d7c114e230683 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 18 May 2017 16:43:35 +0200
Subject: [PATCH 569/899] moved ipfp module in new package extra + added fake
 package ipfp

---
 larray/__init__.py             | 1 +
 larray/core/__init__.py        | 1 -
 larray/core/array.py           | 1 -
 larray/extra/__init__.py       | 3 +++
 larray/{core => extra}/ipfp.py | 2 ++
 larray/ipfp/__init__.py        | 7 +++++++
 setup.cfg                      | 2 +-
 7 files changed, 14 insertions(+), 3 deletions(-)
 create mode 100644 larray/extra/__init__.py
 rename larray/{core => extra}/ipfp.py (99%)
 create mode 100644 larray/ipfp/__init__.py

diff --git a/larray/__init__.py b/larray/__init__.py
index e3cad5dae..0b98daded 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -4,6 +4,7 @@
 from larray.io import *
 from larray.util import *
 from larray.example import load_example_data
+from larray.extra import *
 from larray.viewer import *
 
 __version__ = "0.22"
\ No newline at end of file
diff --git a/larray/core/__init__.py b/larray/core/__init__.py
index 20521d924..27abcf3ac 100644
--- a/larray/core/__init__.py
+++ b/larray/core/__init__.py
@@ -5,4 +5,3 @@
 from larray.core.array import *
 from larray.core.session import *
 from larray.core.ufuncs import *
-from larray.core.ipfp import ipfp
diff --git a/larray/core/array.py b/larray/core/array.py
index 322a3b0ec..84f56ff93 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6746,7 +6746,6 @@ def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False
         index_col = list(range(nb_index))
     elif isinstance(index_col, int):
         index_col = [index_col]
-    return index_col
 
     df = pd.read_sas(filepath, index=index_col, **kwargs)
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
diff --git a/larray/extra/__init__.py b/larray/extra/__init__.py
new file mode 100644
index 000000000..19c879ffd
--- /dev/null
+++ b/larray/extra/__init__.py
@@ -0,0 +1,3 @@
+from __future__ import absolute_import
+
+from larray.extra.ipfp import *
diff --git a/larray/core/ipfp.py b/larray/extra/ipfp.py
similarity index 99%
rename from larray/core/ipfp.py
rename to larray/extra/ipfp.py
index 2806e6b1e..4d033bc2a 100644
--- a/larray/core/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -4,6 +4,8 @@
 from larray.core.array import LArray, aslarray, ones, any
 import numpy as np
 
+__all__ = ['ipfp']
+
 
 def badvalues(a, bad_filter):
     bad_values = a[bad_filter]
diff --git a/larray/ipfp/__init__.py b/larray/ipfp/__init__.py
new file mode 100644
index 000000000..cdfc10145
--- /dev/null
+++ b/larray/ipfp/__init__.py
@@ -0,0 +1,7 @@
+from __future__ import absolute_import
+
+import warnings
+warnings.warn("ipfp function should be imported as\nfrom larray import ipfp\n"
+              "or not imported explicitly at all if you use\nfrom larray import *", FutureWarning)
+
+import larray.extra.ipfp as ipfp
\ No newline at end of file
diff --git a/setup.cfg b/setup.cfg
index 568b1fdf0..a664e4e09 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -5,6 +5,6 @@ test=pytest
 testpaths = larray
 # exclude (doc)tests from ufuncs (because docstrings are copied from numpy
 # and many of those doctests are failing
-addopts = -v --doctest-modules --ignore=larray/core/ufuncs.py
+addopts = -v --doctest-modules --ignore=larray/core/ufuncs.py --ignore=larray/ipfp
 #--maxfail=1 --cov (requires pytest-cov) --pep8 (requires pytest-pep8)
 #pep8maxlinelength = 119

From 8a88887ae2a279b555e4c0a6a1a5425df5d481b3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 22 May 2017 09:52:30 +0200
Subject: [PATCH 570/899] added array.py in io package

---
 larray/core/abc.py         |   2 +
 larray/core/array.py       | 527 +++----------------------------------
 larray/io/__init__.py      |   4 +-
 larray/io/array.py         | 477 +++++++++++++++++++++++++++++++++
 larray/io/excel.py         |   4 +-
 larray/io/session.py       |   2 +-
 larray/tests/test_array.py |   6 +-
 7 files changed, 519 insertions(+), 503 deletions(-)
 create mode 100644 larray/io/array.py

diff --git a/larray/core/abc.py b/larray/core/abc.py
index 619a29b00..a00f6a2b6 100644
--- a/larray/core/abc.py
+++ b/larray/core/abc.py
@@ -1,3 +1,5 @@
+from __future__ import absolute_import
+
 from abc import ABCMeta
 
 # define abstract base classes to enable isinstance type checking on our objects
diff --git a/larray/core/array.py b/larray/core/array.py
index 84f56ff93..23a25250a 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -4,12 +4,9 @@
 __all__ = [
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal', 'aslarray',
+    'ndtest', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
-    'ptp', 'var', 'std', 'median', 'percentile', 'stack',
-    'read_csv', 'read_tsv', 'read_eurostat', 'read_excel', 'read_hdf', 'read_sas',
-    'from_lists', 'from_string',
-    'nan'
+    'ptp', 'var', 'std', 'median', 'percentile', 'stack', 'nan'
 ]
 
 """
@@ -106,9 +103,8 @@
 from larray.core.expr import ExprNode
 from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
 from larray.core.axis import Axis, AxisCollection, x, _make_axis
-from larray.util.misc import (table2str, size2str, unique, decode, basestring, izip, rproduct, ReprString, StringIO,
-                              duplicates, float_error_handler_factory, csv_open, skip_comment_cells, strip_rows,
-                              _isnoneslice)
+from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
+                              float_error_handler_factory, csv_open, skip_comment_cells, strip_rows, _isnoneslice)
 
 nan = np.nan
 
@@ -492,47 +488,6 @@ def get_axis(obj, i):
     return obj.axes[i] if isinstance(obj, LArray) else Axis(obj.shape[i])
 
 
-def aslarray(a):
-    """
-    Converts input as LArray if possible.
-
-    Parameters
-    ----------
-    a : array-like
-        Input array to convert into a LArray.
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> # NumPy array
-    >>> np_arr = np.arange(6).reshape((2,3))
-    >>> aslarray(np_arr)
-    {0}*\{1}*  0  1  2
-            0  0  1  2
-            1  3  4  5
-    >>> # Pandas dataframe
-    >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
-    ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
-    >>> df = pd.DataFrame(data)
-    >>> aslarray(df)
-    {0}\{1}  normal  reverse
-          a     1.0      3.0
-          b     2.0      2.0
-          c     3.0      1.0
-    """
-    if isinstance(a, LArray):
-        return a
-    elif hasattr(a, '__larray__'):
-        return a.__larray__()
-    elif isinstance(a, pd.DataFrame):
-        return df_aslarray(a)
-    else:
-        return LArray(a)
-
-
 _arg_agg = {
     'q':
         """
@@ -6416,156 +6371,14 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         return self.reshape(self.axes.split_axis(axis, sep, names, regex))
 
 
-def parse(s):
-    """
-    Used to parse the "folded" axis ticks (usually periods).
-    """
-    # parameters can be strings or numbers
-    if isinstance(s, basestring):
-        s = s.strip()
-        low = s.lower()
-        if low == 'true':
-            return True
-        elif low == 'false':
-            return False
-        elif s.isdigit():
-            return int(s)
-        else:
-            try:
-                return float(s)
-            except ValueError:
-                return s
-    else:
-        return s
-
-
-def df_labels(df, sort=True):
-    """
-    Returns unique labels for each dimension.
-    """
-    idx = df.index
-    if isinstance(idx, pd.core.index.MultiIndex):
-        if sort:
-            return list(idx.levels)
-        else:
-            return [list(unique(idx.get_level_values(l))) for l in idx.names]
-    else:
-        assert isinstance(idx, pd.core.index.Index)
-        # use .values if needed
-        return [idx]
-
-
-def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
-    labels = df_labels(df, sort=sort_rows)
-    if sort_rows:
-        new_index = pd.MultiIndex.from_product(labels)
-    else:
-        new_index = pd.MultiIndex.from_tuples(list(product(*labels)))
-    columns = sorted(df.columns) if sort_columns else list(df.columns)
-    # the prodlen test is meant to avoid the more expensive array_equal test
-    prodlen = np.prod([len(axis_labels) for axis_labels in labels])
-    if prodlen == len(df) and columns == list(df.columns) and \
-            np.array_equal(df.index.values, new_index.values):
-        return df, labels
-    return df.reindex(new_index, columns, **kwargs), labels
-
-
-def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
-    # the dataframe was read without index at all (ie 2D dataframe), irrespective of the actual data dimensionality
-    if raw:
-        columns = df.columns.values.tolist()
-        try:
-            # take the first column which contains '\'
-            # pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
-            pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
-            onedim = False
-        except StopIteration:
-            # we assume first column will not contain data
-            pos_last = 0
-            onedim = True
-
-        axes_names = columns[:pos_last + 1]
-        if onedim:
-            df = df.iloc[:, 1:]
-        else:
-            # This is required to handle int column names (otherwise we can simply use column positions in set_index).
-            # This is NOT the same as df.columns[list(range(...))] !
-            index_columns = [df.columns[i] for i in range(pos_last + 1)]
-            # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
-            # df.set_index(index_columns, inplace=True)
-            df = df.set_index(index_columns)
-    else:
-        axes_names = [decode(name, 'utf8') for name in df.index.names]
-
-    # handle 2 or more dimensions with the last axis name given using \
-    if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
-        last_axes = [name.strip() for name in axes_names[-1].split('\\')]
-        axes_names = axes_names[:-1] + last_axes
-    # handle 1D
-    elif len(df) == 1 and axes_names == [None]:
-        axes_names = [df.columns.name]
-    # handle 2 or more dimensions with the last axis name given as the columns index name
-    elif len(df) > 1:
-        axes_names += [df.columns.name]
-
-    if len(axes_names) > 1:
-        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
-    else:
-        axes_labels = []
-
-    # we could inline df_aslarray into the functions that use it, so that the
-    # original (non-cartesian) df is freed from memory at this point, but it
-    # would be much uglier and would not lower the peak memory usage which
-    # happens during cartesian_product_df.reindex
-
-    # Pandas treats column labels as column names (strings) so we need to convert them to values
-    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
-    axes_labels.append(last_axis_labels)
-    axes_names = [str(name) if name is not None else name
-                  for name in axes_names]
-
-    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
-    data = df.values.reshape([len(axis) for axis in axes])
-    return LArray(data, axes)
-
-
-def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
-             sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
+def aslarray(a):
     """
-    Reads csv file and returns an array with the contents.
-
-    Notes
-    -----
-    csv file format:
-    arr,ages,sex,nat\time,1991,1992,1993
-    A1,BI,H,BE,1,0,0
-    A1,BI,H,FO,2,0,0
-    A1,BI,F,BE,0,0,1
-    A1,BI,F,FO,0,0,0
-    A1,A0,H,BE,0,0,0
+    Converts input as LArray if possible.
 
     Parameters
     ----------
-    filepath_or_buffer : str or any file-like object
-        Path where the csv file has to be read or a file handle.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4).
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]).
-    sep : str, optional
-        Separator.
-    headersep : str or None, optional
-        Separator for headers.
-    na : scalar, optional
-        Value for NaN (Not A Number). Defaults to NumPy NaN.
-    sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
-    sort_columns : bool, optional
-        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
-        Defaults to False.
-    dialect : 'classic' | 'larray' | 'liam2', optional
-        Name of dialect. Defaults to 'larray'.
-    **kwargs
+    a : array-like
+        Input array to convert into a LArray.
 
     Returns
     -------
@@ -6573,309 +6386,31 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
 
     Examples
     --------
-    >>> from larray.tests.common import abspath
-    >>> from larray import ndrange
-    >>> fpath = abspath('test.csv')
-    >>> a = ndrange('nat=BE,FO;sex=M,F')
-
-    >>> a.to_csv(fpath)
-    >>> read_csv(fpath)
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> read_csv(fpath, sort_columns=True)
-    nat\\sex  F  M
-         BE  1  0
-         FO  3  2
-    >>> fpath = abspath('no_axis_name.csv')
-    >>> a.to_csv(fpath, dialect='classic')
-    >>> read_csv(fpath, nb_index=1)
-    nat\\{1}  M  F
-         BE  0  1
-         FO  2  3
-    """
-    if dialect == 'liam2':
-        # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
-        # manipulating the dataframe because the header line must be ignored for the column types to be inferred
-        # correctly. Note that to read one line, this is faster than using Pandas reader.
-        with csv_open(filepath_or_buffer) as f:
-            reader = csv.reader(f, delimiter=sep)
-            line_stream = skip_comment_cells(strip_rows(reader))
-            axes_names = next(line_stream)
-
-        if nb_index is not None or index_col is not None:
-            raise ValueError("nb_index and index_col are not compatible with dialect='liam2'")
-        if len(axes_names) > 1:
-            nb_index = len(axes_names) - 1
-        # use the second data line for column headers (excludes comments and blank lines before counting)
-        kwargs['header'] = 1
-        kwargs['comment'] = '#'
-
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
-
-    if headersep is not None:
-        if index_col is None:
-            index_col = [0]
-
-    df = pd.read_csv(filepath_or_buffer, index_col=index_col, sep=sep, **kwargs)
-    if dialect == 'liam2':
-        if len(axes_names) > 1:
-            df.index.names = axes_names[:-1]
-        df.columns.name = axes_names[-1]
-        raw = False
-    else:
-        raw = index_col is None
-
-    if headersep is not None:
-        combined_axes_names = df.index.name
-        df.index = df.index.str.split(headersep, expand=True)
-        df.index.names = combined_axes_names.split(headersep)
-        raw = False
-
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, raw=raw)
-
-
-def read_tsv(filepath_or_buffer, **kwargs):
-    return read_csv(filepath_or_buffer, sep='\t', **kwargs)
-
-
-def read_eurostat(filepath_or_buffer, **kwargs):
-    """Reads EUROSTAT TSV (tab-separated) file into an array.
-
-    EUROSTAT TSV files are special because they use tabs as data separators but comas to separate headers.
-
-    Parameters
-    ----------
-    filepath_or_buffer : str or any file-like object
-        Path where the tsv file has to be read or a file handle.
-    kwargs
-        Arbitrary keyword arguments are passed through to read_csv.
-
-    Returns
-    -------
-    LArray
-    """
-    return read_csv(filepath_or_buffer, sep='\t', headersep=',', **kwargs)
-
-
-def read_hdf(filepath_or_buffer, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
-    """Reads an array named key from a HDF5 file in filepath (path+name)
-
-    Parameters
-    ----------
-    filepath_or_buffer : str or pandas.HDFStore
-        Path and name where the HDF5 file is stored or a HDFStore object.
-    key : str
-        Name of the array.
-
-    Returns
-    -------
-    LArray
-    """
-    df = pd.read_hdf(filepath_or_buffer, key, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, parse_header=False)
-
-
-def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,
-               engine=None, **kwargs):
-    """
-    Reads excel file from sheet name and returns an LArray with the contents
-
-    Parameters
-    ----------
-    filepath : str
-        Path where the Excel file has to be read.
-    sheetname : str or int, optional
-        Name or index of the Excel sheet containing the array to be read.
-        By default the array is read from the first sheet.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to 1.
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]).
-        Default to [0].
-    na : scalar, optional
-        Value for NaN (Not A Number). Defaults to NumPy NaN.
-    sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
-        Defaults to False.
-    sort_columns : bool, optional
-        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
-        Defaults to False.
-    engine : {'xlrd', 'xlwings'}, optional
-        Engine to use to read the Excel file. If None (default), it will use 'xlwings' by default if the module is
-        installed and relies on Pandas default reader otherwise.
-    **kwargs
+    >>> # NumPy array
+    >>> np_arr = np.arange(6).reshape((2,3))
+    >>> aslarray(np_arr)
+    {0}*\{1}*  0  1  2
+            0  0  1  2
+            1  3  4  5
+    >>> # Pandas dataframe
+    >>> data = {'normal'  : pd.Series([1., 2., 3.], index=['a', 'b', 'c']),
+    ...         'reverse' : pd.Series([3., 2., 1.], index=['a', 'b', 'c'])}
+    >>> df = pd.DataFrame(data)
+    >>> aslarray(df)
+    {0}\{1}  normal  reverse
+          a     1.0      3.0
+          b     2.0      2.0
+          c     3.0      1.0
     """
-    if engine is None:
-        engine = 'xlwings' if xw is not None else None
-
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
-
-    if engine == 'xlwings':
-        if kwargs:
-            raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
-                            .format(list(kwargs.keys())[0]))
-        from larray.io.excel import open_excel
-        with open_excel(filepath) as wb:
-            return wb[sheetname].load(index_col=index_col)
+    if isinstance(a, LArray):
+        return a
+    elif hasattr(a, '__larray__'):
+        return a.__larray__()
+    elif isinstance(a, pd.DataFrame):
+        from larray.io.array import df_aslarray
+        return df_aslarray(a)
     else:
-        df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
-        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None, fill_value=na)
-
-
-def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
-    """
-    Reads sas file and returns an LArray with the contents
-        nb_index: number of leading index columns (e.g. 4)
-    or
-        index_col: list of columns for the index (e.g. [0, 1, 3])
-    """
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
-
-    df = pd.read_sas(filepath, index=index_col, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
-
-
-def from_lists(data, nb_index=None, index_col=None):
-    """
-    initialize array from a list of lists (lines)
-
-    Parameters
-    ----------
-    data : sequence (tuple, list, ...)
-        Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> from_lists([['sex', 'M', 'F'],
-    ...             ['',      0,   1]])
-    sex  M  F
-         0  1
-    >>> from_lists([['sex\\year', 1991, 1992, 1993],
-    ...             [ 'M',           0,    1,    2],
-    ...             [ 'F',           3,    4,    5]])
-    sex\\year  1991  1992  1993
-           M     0     1     2
-           F     3     4     5
-    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
-    ...             [  'M', 'BE',           1,    0,    0],
-    ...             [  'M', 'FO',           2,    0,    0],
-    ...             [  'F', 'BE',           0,    0,    1]])
-    sex  nat\\year  1991  1992  1993
-      M        BE   1.0   0.0   0.0
-      M        FO   2.0   0.0   0.0
-      F        BE   0.0   0.0   1.0
-      F        FO   nan   nan   nan
-    >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
-    ...             [  'M', 'BE',     1,    0,    0],
-    ...             [  'M', 'FO',     2,    0,    0],
-    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
-    sex  nat\\{2}  1991  1992  1993
-      M       BE   1.0   0.0   0.0
-      M       FO   2.0   0.0   0.0
-      F       BE   0.0   0.0   1.0
-      F       FO   nan   nan   nan
-    """
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
-
-    df = pd.DataFrame(data[1:], columns=data[0])
-    if index_col is not None:
-        df.set_index([df.columns[c] for c in index_col], inplace=True)
-
-    return df_aslarray(df, raw=index_col is None, parse_header=False)
-
-
-def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
-    """Create an array from a multi-line string.
-
-    Parameters
-    ----------
-    s : str
-        input string.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
-    index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
-    sep : str
-        delimiter used to split each line into cells.
-    \**kwargs
-        See arguments of Pandas read_csv function.
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> from_string("sex,M,F\\n,0,1")
-    sex  M  F
-         0  1
-    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-
-    Each label is stripped of leading and trailing whitespace, so this is valid too:
-
-    >>> from_string('''nat\\sex, M, F
-    ...                BE,       0, 1
-    ...                FO,       2, 3''')
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> from_string('''age,nat\\sex, M, F
-    ...                0,  BE,       0, 1
-    ...                0,  FO,       2, 3
-    ...                1,  BE,       4, 5
-    ...                1,  FO,       6, 7''')
-    age  nat\sex  M  F
-      0       BE  0  1
-      0       FO  2  3
-      1       BE  4  5
-      1       FO  6  7
-
-    Empty lines at the beginning or end are ignored, so one can also format the string like this:
-
-    >>> from_string('''
-    ... nat\\sex, M, F
-    ... BE,       0, 1
-    ... FO,       2, 3
-    ... ''')
-    nat\sex  M  F
-         BE  0  1
-         FO  2  3
-    """
-    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
+        return LArray(a)
 
 
 def _check_axes_argument(func):
diff --git a/larray/io/__init__.py b/larray/io/__init__.py
index 1fa2e6a59..9d3031184 100644
--- a/larray/io/__init__.py
+++ b/larray/io/__init__.py
@@ -1,3 +1,5 @@
 from __future__ import absolute_import, division, print_function
 
-from larray.io.excel import open_excel
\ No newline at end of file
+from larray.io.excel import open_excel
+from larray.io.array import *
+from larray.io.session import *
diff --git a/larray/io/array.py b/larray/io/array.py
new file mode 100644
index 000000000..7e550c707
--- /dev/null
+++ b/larray/io/array.py
@@ -0,0 +1,477 @@
+from __future__ import absolute_import, print_function
+
+import csv
+import numpy as np
+import pandas as pd
+from itertools import product
+
+from larray.core.axis import Axis
+from larray.core.array import LArray
+from larray.util.misc import basestring, unique, decode, skip_comment_cells, strip_rows, csv_open, StringIO
+
+try:
+    import xlwings as xw
+except ImportError:
+    xw = None
+
+
+def parse(s):
+    """
+    Used to parse the "folded" axis ticks (usually periods).
+    """
+    # parameters can be strings or numbers
+    if isinstance(s, basestring):
+        s = s.strip()
+        low = s.lower()
+        if low == 'true':
+            return True
+        elif low == 'false':
+            return False
+        elif s.isdigit():
+            return int(s)
+        else:
+            try:
+                return float(s)
+            except ValueError:
+                return s
+    else:
+        return s
+
+
+def df_labels(df, sort=True):
+    """
+    Returns unique labels for each dimension.
+    """
+    idx = df.index
+    if isinstance(idx, pd.core.index.MultiIndex):
+        if sort:
+            return list(idx.levels)
+        else:
+            return [list(unique(idx.get_level_values(l))) for l in idx.names]
+    else:
+        assert isinstance(idx, pd.core.index.Index)
+        # use .values if needed
+        return [idx]
+
+
+def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
+    labels = df_labels(df, sort=sort_rows)
+    if sort_rows:
+        new_index = pd.MultiIndex.from_product(labels)
+    else:
+        new_index = pd.MultiIndex.from_tuples(list(product(*labels)))
+    columns = sorted(df.columns) if sort_columns else list(df.columns)
+    # the prodlen test is meant to avoid the more expensive array_equal test
+    prodlen = np.prod([len(axis_labels) for axis_labels in labels])
+    if prodlen == len(df) and columns == list(df.columns) and \
+            np.array_equal(df.index.values, new_index.values):
+        return df, labels
+    return df.reindex(new_index, columns, **kwargs), labels
+
+
+def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
+    # the dataframe was read without index at all (ie 2D dataframe), irrespective of the actual data dimensionality
+    if raw:
+        columns = df.columns.values.tolist()
+        try:
+            # take the first column which contains '\'
+            # pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
+            pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
+            onedim = False
+        except StopIteration:
+            # we assume first column will not contain data
+            pos_last = 0
+            onedim = True
+
+        axes_names = columns[:pos_last + 1]
+        if onedim:
+            df = df.iloc[:, 1:]
+        else:
+            # This is required to handle int column names (otherwise we can simply use column positions in set_index).
+            # This is NOT the same as df.columns[list(range(...))] !
+            index_columns = [df.columns[i] for i in range(pos_last + 1)]
+            # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
+            # df.set_index(index_columns, inplace=True)
+            df = df.set_index(index_columns)
+    else:
+        axes_names = [decode(name, 'utf8') for name in df.index.names]
+
+    # handle 2 or more dimensions with the last axis name given using \
+    if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
+        last_axes = [name.strip() for name in axes_names[-1].split('\\')]
+        axes_names = axes_names[:-1] + last_axes
+    # handle 1D
+    elif len(df) == 1 and axes_names == [None]:
+        axes_names = [df.columns.name]
+    # handle 2 or more dimensions with the last axis name given as the columns index name
+    elif len(df) > 1:
+        axes_names += [df.columns.name]
+
+    if len(axes_names) > 1:
+        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
+    else:
+        axes_labels = []
+
+    # we could inline df_aslarray into the functions that use it, so that the
+    # original (non-cartesian) df is freed from memory at this point, but it
+    # would be much uglier and would not lower the peak memory usage which
+    # happens during cartesian_product_df.reindex
+
+    # Pandas treats column labels as column names (strings) so we need to convert them to values
+    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
+    axes_labels.append(last_axis_labels)
+    axes_names = [str(name) if name is not None else name
+                  for name in axes_names]
+
+    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
+    data = df.values.reshape([len(axis) for axis in axes])
+    return LArray(data, axes)
+
+
+def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
+             sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
+    """
+    Reads csv file and returns an array with the contents.
+
+    Notes
+    -----
+    csv file format:
+    arr,ages,sex,nat\time,1991,1992,1993
+    A1,BI,H,BE,1,0,0
+    A1,BI,H,FO,2,0,0
+    A1,BI,F,BE,0,0,1
+    A1,BI,F,FO,0,0,0
+    A1,A0,H,BE,0,0,0
+
+    Parameters
+    ----------
+    filepath_or_buffer : str or any file-like object
+        Path where the csv file has to be read or a file handle.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4).
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]).
+    sep : str, optional
+        Separator.
+    headersep : str or None, optional
+        Separator for headers.
+    na : scalar, optional
+        Value for NaN (Not A Number). Defaults to NumPy NaN.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
+    dialect : 'classic' | 'larray' | 'liam2', optional
+        Name of dialect. Defaults to 'larray'.
+    **kwargs
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from larray.tests.common import abspath
+    >>> from larray import ndrange
+    >>> fpath = abspath('test.csv')
+    >>> a = ndrange('nat=BE,FO;sex=M,F')
+
+    >>> a.to_csv(fpath)
+    >>> read_csv(fpath)
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
+    >>> read_csv(fpath, sort_columns=True)
+    nat\\sex  F  M
+         BE  1  0
+         FO  3  2
+    >>> fpath = abspath('no_axis_name.csv')
+    >>> a.to_csv(fpath, dialect='classic')
+    >>> read_csv(fpath, nb_index=1)
+    nat\\{1}  M  F
+         BE  0  1
+         FO  2  3
+    """
+    if dialect == 'liam2':
+        # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
+        # manipulating the dataframe because the header line must be ignored for the column types to be inferred
+        # correctly. Note that to read one line, this is faster than using Pandas reader.
+        with csv_open(filepath_or_buffer) as f:
+            reader = csv.reader(f, delimiter=sep)
+            line_stream = skip_comment_cells(strip_rows(reader))
+            axes_names = next(line_stream)
+
+        if nb_index is not None or index_col is not None:
+            raise ValueError("nb_index and index_col are not compatible with dialect='liam2'")
+        if len(axes_names) > 1:
+            nb_index = len(axes_names) - 1
+        # use the second data line for column headers (excludes comments and blank lines before counting)
+        kwargs['header'] = 1
+        kwargs['comment'] = '#'
+
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    if headersep is not None:
+        if index_col is None:
+            index_col = [0]
+
+    df = pd.read_csv(filepath_or_buffer, index_col=index_col, sep=sep, **kwargs)
+    if dialect == 'liam2':
+        if len(axes_names) > 1:
+            df.index.names = axes_names[:-1]
+        df.columns.name = axes_names[-1]
+        raw = False
+    else:
+        raw = index_col is None
+
+    if headersep is not None:
+        combined_axes_names = df.index.name
+        df.index = df.index.str.split(headersep, expand=True)
+        df.index.names = combined_axes_names.split(headersep)
+        raw = False
+
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, raw=raw)
+
+
+def read_tsv(filepath_or_buffer, **kwargs):
+    return read_csv(filepath_or_buffer, sep='\t', **kwargs)
+
+
+def read_eurostat(filepath_or_buffer, **kwargs):
+    """Reads EUROSTAT TSV (tab-separated) file into an array.
+
+    EUROSTAT TSV files are special because they use tabs as data separators but comas to separate headers.
+
+    Parameters
+    ----------
+    filepath_or_buffer : str or any file-like object
+        Path where the tsv file has to be read or a file handle.
+    kwargs
+        Arbitrary keyword arguments are passed through to read_csv.
+
+    Returns
+    -------
+    LArray
+    """
+    return read_csv(filepath_or_buffer, sep='\t', headersep=',', **kwargs)
+
+
+def read_hdf(filepath_or_buffer, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+    """Reads an array named key from a HDF5 file in filepath (path+name)
+
+    Parameters
+    ----------
+    filepath_or_buffer : str or pandas.HDFStore
+        Path and name where the HDF5 file is stored or a HDFStore object.
+    key : str
+        Name of the array.
+
+    Returns
+    -------
+    LArray
+    """
+    df = pd.read_hdf(filepath_or_buffer, key, **kwargs)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, parse_header=False)
+
+
+def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,
+               engine=None, **kwargs):
+    """
+    Reads excel file from sheet name and returns an LArray with the contents
+
+    Parameters
+    ----------
+    filepath : str
+        Path where the Excel file has to be read.
+    sheetname : str or int, optional
+        Name or index of the Excel sheet containing the array to be read.
+        By default the array is read from the first sheet.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to 1.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]).
+        Default to [0].
+    na : scalar, optional
+        Value for NaN (Not A Number). Defaults to NumPy NaN.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
+    engine : {'xlrd', 'xlwings'}, optional
+        Engine to use to read the Excel file. If None (default), it will use 'xlwings' by default if the module is
+        installed and relies on Pandas default reader otherwise.
+    **kwargs
+    """
+    if engine is None:
+        engine = 'xlwings' if xw is not None else None
+
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    if engine == 'xlwings':
+        if kwargs:
+            raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
+                            .format(list(kwargs.keys())[0]))
+        from larray.io.excel import open_excel
+        with open_excel(filepath) as wb:
+            return wb[sheetname].load(index_col=index_col)
+    else:
+        df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
+        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None, fill_value=na)
+
+
+def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+    """
+    Reads sas file and returns an LArray with the contents
+        nb_index: number of leading index columns (e.g. 4)
+    or
+        index_col: list of columns for the index (e.g. [0, 1, 3])
+    """
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    df = pd.read_sas(filepath, index=index_col, **kwargs)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
+
+
+def from_lists(data, nb_index=None, index_col=None):
+    """
+    initialize array from a list of lists (lines)
+
+    Parameters
+    ----------
+    data : sequence (tuple, list, ...)
+        Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from_lists([['sex', 'M', 'F'],
+    ...             ['',      0,   1]])
+    sex  M  F
+         0  1
+    >>> from_lists([['sex\\year', 1991, 1992, 1993],
+    ...             [ 'M',           0,    1,    2],
+    ...             [ 'F',           3,    4,    5]])
+    sex\\year  1991  1992  1993
+           M     0     1     2
+           F     3     4     5
+    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    ...             [  'M', 'BE',           1,    0,    0],
+    ...             [  'M', 'FO',           2,    0,    0],
+    ...             [  'F', 'BE',           0,    0,    1]])
+    sex  nat\\year  1991  1992  1993
+      M        BE   1.0   0.0   0.0
+      M        FO   2.0   0.0   0.0
+      F        BE   0.0   0.0   1.0
+      F        FO   nan   nan   nan
+    >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
+    ...             [  'M', 'BE',     1,    0,    0],
+    ...             [  'M', 'FO',     2,    0,    0],
+    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
+    sex  nat\\{2}  1991  1992  1993
+      M       BE   1.0   0.0   0.0
+      M       FO   2.0   0.0   0.0
+      F       BE   0.0   0.0   1.0
+      F       FO   nan   nan   nan
+    """
+    if nb_index is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_index and index_col")
+    elif nb_index is not None:
+        index_col = list(range(nb_index))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    df = pd.DataFrame(data[1:], columns=data[0])
+    if index_col is not None:
+        df.set_index([df.columns[c] for c in index_col], inplace=True)
+
+    return df_aslarray(df, raw=index_col is None, parse_header=False)
+
+
+def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
+    """Create an array from a multi-line string.
+
+    Parameters
+    ----------
+    s : str
+        input string.
+    nb_index : int, optional
+        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
+        by using the position of the first '\' in the first line.
+    index_col : list, optional
+        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+    sep : str
+        delimiter used to split each line into cells.
+    \**kwargs
+        See arguments of Pandas read_csv function.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> from_string("sex,M,F\\n,0,1")
+    sex  M  F
+         0  1
+    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+
+    Each label is stripped of leading and trailing whitespace, so this is valid too:
+
+    >>> from_string('''nat\\sex, M, F
+    ...                BE,       0, 1
+    ...                FO,       2, 3''')
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+    >>> from_string('''age,nat\\sex, M, F
+    ...                0,  BE,       0, 1
+    ...                0,  FO,       2, 3
+    ...                1,  BE,       4, 5
+    ...                1,  FO,       6, 7''')
+    age  nat\sex  M  F
+      0       BE  0  1
+      0       FO  2  3
+      1       BE  4  5
+      1       FO  6  7
+
+    Empty lines at the beginning or end are ignored, so one can also format the string like this:
+
+    >>> from_string('''
+    ... nat\\sex, M, F
+    ... BE,       0, 1
+    ... FO,       2, 3
+    ... ''')
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+    """
+    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 9151018e9..49a64e0ed 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -8,8 +8,8 @@
     xw = None
 
 from larray.core.axis import Axis
-from larray.core.array import LArray, df_aslarray, from_lists
-
+from larray.core.array import LArray
+from larray.io.array import df_aslarray, from_lists
 
 string_types = (str,)
 
diff --git a/larray/io/session.py b/larray/io/session.py
index bb5514c46..55ede973e 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -4,9 +4,9 @@
 from collections import OrderedDict
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from larray.core.array import df_aslarray, read_csv, read_hdf
 from larray.util.misc import pickle
 from larray.io.excel import open_excel
+from larray.io.array import df_aslarray, read_csv, read_hdf
 
 try:
     import xlwings as xw
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index aa9a5c086..fb639816a 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -13,11 +13,11 @@
     xw = None
 
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
-from larray import (LArray, Axis, LGroup, union, read_hdf, read_csv, read_eurostat, read_excel, open_excel,
-                    zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
+from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, x, mean, isnan, round, from_lists, from_string)
 from larray.core.axis import _to_ticks, _to_key
-from larray.core.array import df_aslarray
+from larray.io.array import df_aslarray, read_hdf, read_csv, read_eurostat, read_excel
+from larray.io.excel import open_excel
 
 
 class TestValueStrings(TestCase):

From c42bc4d7e975b34b4fa62476a4f50b5bbdbefc7f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 23 May 2017 15:02:26 +0200
Subject: [PATCH 571/899] fix #271 : changed from_string sep default to ' '

---
 larray/io/array.py         | 29 +++++++++++++++--------------
 larray/tests/test_array.py | 36 ++++++++++++++++++------------------
 2 files changed, 33 insertions(+), 32 deletions(-)

diff --git a/larray/io/array.py b/larray/io/array.py
index 7e550c707..6d7e774a8 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -413,7 +413,7 @@ def from_lists(data, nb_index=None, index_col=None):
     return df_aslarray(df, raw=index_col is None, parse_header=False)
 
 
-def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
+def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
     """Create an array from a multi-line string.
 
     Parameters
@@ -436,27 +436,28 @@ def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
 
     Examples
     --------
-    >>> from_string("sex,M,F\\n,0,1")
+    >>> # if one dimension array and default separator ' ', a - must be added in front of the data line  
+    >>> from_string("sex  M  F\\n-  0  1")
     sex  M  F
          0  1
-    >>> from_string("nat\\sex,M,F\\nBE,0,1\\nFO,2,3")
+    >>> from_string("nat\\sex  M  F\\nBE  0  1\\nFO  2  3")
     nat\sex  M  F
          BE  0  1
          FO  2  3
 
     Each label is stripped of leading and trailing whitespace, so this is valid too:
 
-    >>> from_string('''nat\\sex, M, F
-    ...                BE,       0, 1
-    ...                FO,       2, 3''')
+    >>> from_string('''nat\\sex  M  F
+    ...                BE        0  1
+    ...                FO        2  3''')
     nat\sex  M  F
          BE  0  1
          FO  2  3
-    >>> from_string('''age,nat\\sex, M, F
-    ...                0,  BE,       0, 1
-    ...                0,  FO,       2, 3
-    ...                1,  BE,       4, 5
-    ...                1,  FO,       6, 7''')
+    >>> from_string('''age  nat\\sex  M  F
+    ...                0    BE        0  1
+    ...                0    FO        2  3
+    ...                1    BE        4  5
+    ...                1    FO        6  7''')
     age  nat\sex  M  F
       0       BE  0  1
       0       FO  2  3
@@ -466,9 +467,9 @@ def from_string(s, nb_index=None, index_col=None, sep=',', **kwargs):
     Empty lines at the beginning or end are ignored, so one can also format the string like this:
 
     >>> from_string('''
-    ... nat\\sex, M, F
-    ... BE,       0, 1
-    ... FO,       2, 3
+    ... nat\\sex  M  F
+    ... BE        0  1
+    ... FO        2  3
     ... ''')
     nat\sex  M  F
          BE  0  1
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index fb639816a..76853353d 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -1532,8 +1532,8 @@ def test_group_agg_on_bool_array(self):
         # issue 194
         a = ndtest((2, 3))
         b = a > 1
-        expected = from_string("""a, a0, a1
-                                   ,  1,  2""")
+        expected = from_string("""a  a0  a1
+                                  -   1   2""")
         assert_array_equal(b.sum('b1:'), expected)
 
     # TODO: fix this (and add other tests for references (x.) to anonymous axes
@@ -2222,22 +2222,22 @@ def test_replace_axes(self):
     def test_reindex(self):
         arr = ndtest((2, 2))
         res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
-        assert_array_equal(res, from_string("""a\\b, b1, b2, b0
-                                                 a0,  1, -1,  0
-                                                 a1,  3, -1,  2"""))
+        assert_array_equal(res, from_string("""a\\b  b1  b2  b0
+                                                 a0   1  -1   0
+                                                 a1   3  -1   2"""))
 
         arr2 = ndtest((2, 2))
         arr2.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1, inplace=True)
-        assert_array_equal(arr2, from_string("""a\\b, b1, b2, b0
-                                                  a0,  1, -1,  0
-                                                  a1,  3, -1,  2"""))
+        assert_array_equal(arr2, from_string("""a\\b  b1  b2  b0
+                                                  a0   1  -1   0
+                                                  a1   3  -1   2"""))
 
         # LArray fill value
         filler = ndrange(arr.a)
         res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=filler)
-        assert_array_equal(res, from_string("""a\\b, b1, b2, b0
-                                                 a0,  1,  0,  0
-                                                 a1,  3,  1,  2"""))
+        assert_array_equal(res, from_string("""a\\b  b1  b2  b0
+                                                 a0   1   0   0
+                                                 a1   3   1   2"""))
 
     def test_append(self):
         la = self.small
@@ -3162,13 +3162,13 @@ def test_stack(self):
         arr2 = zeros('type=1..3')
         nd = LArray([arr1, arr2], sex)
         res = stack(nd, sex)
-        expected = from_string("""nat, type\\sex,   M,   F
-                                   BE,        1, 1.0, 0.0
-                                   BE,        2, 1.0, 0.0
-                                   BE,        3, 1.0, 0.0
-                                   FO,        1, 1.0, 0.0
-                                   FO,        2, 1.0, 0.0
-                                   FO,        3, 1.0, 0.0""")
+        expected = from_string("""nat  type\\sex   M    F
+                                   BE         1  1.0  0.0
+                                   BE         2  1.0  0.0
+                                   BE         3  1.0  0.0
+                                   FO         1  1.0  0.0
+                                   FO         2  1.0  0.0
+                                   FO         3  1.0  0.0""")
         assert_array_equal(res, expected)
 
 if __name__ == "__main__":

From 7e9312ef43ce10d9295f522096c65061fed574cb Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 24 May 2017 09:57:28 +0200
Subject: [PATCH 572/899] updated changelog (0.23) --> issue 271

---
 doc/source/changes/version_0_23.rst.inc | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index b8115286f..92344d885 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -26,6 +26,20 @@ Miscellaneous improvements
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
 
+* set `sep` argument of from_string function to ' ' by default (closes :issue:`271`).
+  For 1D array, a "-" must be added in front of the data line.
+
+    >>> from_string('''sex  M  F
+                       -    0  1''')
+    sex  M  F
+         0  1
+    >>> from_string('''nat\\sex  M  F
+                       BE        0  1
+                       FO        2  3''')
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+
 Fixes
 -----
 

From d051d4a75cb5af52504d47892fa92cd0ab8bab9a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 23 May 2017 09:01:31 +0200
Subject: [PATCH 573/899] (documentation) added open_excel entry in api.rst

---
 doc/source/api.rst | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index f398ce8b6..0d2b83ad7 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -413,6 +413,14 @@ Write
    LArray.to_excel
    LArray.to_hdf
 
+Excel
+=====
+
+.. autosummary::
+   :toctree: _generated/
+
+   open_excel
+
 Miscellaneous
 =============
 

From aab9a99c18f263be780cc20b4d6ffe316e169684 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 22 May 2017 13:29:32 +0200
Subject: [PATCH 574/899] fix #265 : open_excel and Worbook.init return an
 error if filepath represents a non existing Excel file and
 overwrite_file=False.

+ available modes are 'r', 'w', 'a' and 'r+'.
+ updated docstring of open_excel.
---
 larray/io/excel.py         | 101 +++++++++++++++++++++++++------------
 larray/tests/test_array.py |  15 ++++--
 2 files changed, 80 insertions(+), 36 deletions(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index 49a64e0ed..6cafc8658 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -57,36 +57,10 @@ def write_value(cls, value, options):
     LArrayConverter.register(LArray)
 
 
+    # TODO : replace overwrite_file by mode='r'|'w'|'a' the day xlwings will support a read-only mode
     class Workbook(object):
         def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
-            """
-            open an Excel workbook
-
-            Parameters
-            ----------
-            filepath : None, int or str, optional
-                use None for a new blank workbook, -1 for the last active
-                workbook. Defaults to None.
-            overwrite_file : bool, optional
-                whether or not to overwrite an existing file, if any.
-                Defaults to False.
-            visible : None or bool, optional
-                whether or not Excel should be visible. Defaults to False for
-                files, True for new/active workbooks and to None ("unchanged")
-                for existing unsaved workbooks.
-            silent : None or bool, optional
-                whether or not to show dialog boxes for updating links or
-                when some links cannot be updated. Defaults to False if
-                visible, True otherwise.
-            app : None, "new", "active", "global" or xlwings.App, optional
-                use "new" for opening a new Excel instance, "active" for the last active instance (including ones
-                opened by the user) and "global" to (re)use the same instance for all workbooks of a program. None is
-                equivalent to "active" if filepath is -1 and "global" otherwise. Defaults to None.
-
-                The "global" instance is a specific Excel instance for all input from/output to Excel from within a
-                single Python program (and should not interact with instances manually opened by the user or another
-                program).
-            """
+            """See open_excel doc for parameters"""
             global global_app
 
             xw_wkb = None
@@ -105,6 +79,9 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     if not ext.startswith('.xl'):
                         raise ValueError("'%s' is not a supported file "
                                          "extension" % ext)
+                    if not os.path.isfile(filepath) and not overwrite_file:
+                        raise ValueError("File {} does not exist. Please give the path to an existing file "
+                                         "or set overwrite_file argument to True".format(filepath))
                     if os.path.isfile(filepath) and overwrite_file:
                         os.remove(filepath)
                     if not os.path.isfile(filepath):
@@ -455,9 +432,71 @@ def load(self, header=True, convert_float=True, nb_index=None, index_col=None):
                 return LArray(list_data)
 
     # XXX: remove this function?
-    def open_excel(filepath=None, **kwargs):
-        return Workbook(filepath, **kwargs)
+    def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
+        return Workbook(filepath, overwrite_file, visible, silent, app)
 else:
-    def open_excel(filepath=None, **kwargs):
+    def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
         raise Exception("open_excel() is not available because xlwings "
                         "is not installed")
+
+open_excel.__doc__ = \
+"""
+Open an Excel workbook
+
+Parameters
+----------
+filepath : None, int or str, optional
+    path to the Excel file. The file must exist if overwrite_file is False. 
+    Use None for a new blank workbook, -1 for the last active
+    workbook. Defaults to None.
+overwrite_file : bool, optional
+    whether or not to overwrite an existing file, if any.
+    Defaults to False.
+visible : None or bool, optional
+    whether or not Excel should be visible. Defaults to False for
+    files, True for new/active workbooks and to None ("unchanged")
+    for existing unsaved workbooks.
+silent : None or bool, optional
+    whether or not to show dialog boxes for updating links or
+    when some links cannot be updated. Defaults to False if
+    visible, True otherwise.
+app : None, "new", "active", "global" or xlwings.App, optional
+    use "new" for opening a new Excel instance, "active" for the last active instance (including ones
+    opened by the user) and "global" to (re)use the same instance for all workbooks of a program. None is
+    equivalent to "active" if filepath is -1 and "global" otherwise. Defaults to None.
+
+    The "global" instance is a specific Excel instance for all input from/output to Excel from within a
+    single Python program (and should not interact with instances manually opened by the user or another
+    program).
+    
+Returns
+-------
+Excel workbook.
+
+Examples
+--------
+>>> from larray import *
+>>> arr = ndtest((3, 3))
+>>> arr
+a\\b  b0  b1  b2
+ a0   0   1   2
+ a1   3   4   5
+ a2   6   7   8
+
+create a new Excel file and save an array
+
+>>> # to create a new Excel file, argument overwrite_file must be set to True
+>>> with open_excel('excel_file.xlsx', overwrite_file=True) as wb:   # doctest: +SKIP
+...     wb['arr'] = arr.dump()
+...     wb.save()
+
+read array from an Excel file
+
+>>> with open_excel('excel_file.xlsx') as wb:    # doctest: +SKIP
+...     arr2 = wb['arr'].load()
+>>> arr2    # doctest: +SKIP
+a\\b  b0  b1  b2
+ a0   0   1   2
+ a1   3   4   5
+ a2   6   7   8
+"""
\ No newline at end of file
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 76853353d..0cd1bcf8c 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2648,10 +2648,15 @@ def test_to_excel_xlwings(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_open_excel(self):
-        # 1) with headers
-        # ===============
+        # 1) Create new file
+        # ==================
+        # overwrite_file must be set to True to create a new file
+        with pytest.raises(ValueError):
+            open_excel(abspath('new_excel_file.xlsx'))
 
-        with open_excel(abspath('test_open_excel.xlsx')) as wb:
+        # 2) with headers
+        # ===============
+        with open_excel(abspath('test_open_excel.xlsx'), overwrite_file=True) as wb:
             # 1D
             a1 = ndtest(3)
 
@@ -2729,9 +2734,9 @@ def test_open_excel(self):
             # the third axis should have the same labels (but not the same name obviously)
             assert_array_equal(res.axes[2].labels, a3.axes[2].labels)
 
-        # 2) without headers
+        # 3) without headers
         # ==================
-        with open_excel(abspath('test_open_excel_no_headers.xlsx')) as wb:
+        with open_excel(abspath('test_open_excel_no_headers.xlsx'), overwrite_file=True) as wb:
             # 1D
             a1 = ndtest(3)
 

From 28a3f824b5b5d06e0f2fcc2a0cf9fe8c7492cd4f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 23 May 2017 17:06:23 +0200
Subject: [PATCH 575/899] updated changelog (0.23) --> issue 265

---
 doc/source/changes/version_0_23.rst.inc | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 92344d885..a4103d8b6 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -43,4 +43,6 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed using open_excel("inexisting file") yielding to ununderstandble error.
+  The function returns an error if passing a non existing Excel file and overwrite_file=False
+  (closes :issue:`265`).

From eb6a950b094a72275c9090a099948a4e73925f4b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Apr 2017 16:09:30 +0200
Subject: [PATCH 576/899] fix #191 : replaced all occurences of `VG` by
 `LGroup`

---
 larray/core/array.py       | 14 +++++++-------
 larray/core/axis.py        |  4 ++--
 larray/tests/test_array.py | 32 ++++++++++++++++----------------
 3 files changed, 25 insertions(+), 25 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 23a25250a..1b19fab6a 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -20,9 +20,9 @@
 #   lipro['P01,P02;P05'] <=> (lipro.group('P01,P02'), lipro.group('P05'))
 #                        <=> (lipro['P01,P02'], lipro['P05'])
 
-# discuss VG with Geert:
+# discuss LGroup with Geert:
 # I do not "expand" key (eg :) upon group creation for perf reason
-# VG[:] is much faster than [A01,A02,...,A99]
+# LGroup[:] is much faster than [A01,A02,...,A99]
 # I could make that all "contiguous" ranges are conv to slices (return views)
 # but that might introduce confusing differences if they update/setitem their
 # arrays
@@ -2521,7 +2521,7 @@ def _cum_aggregate(self, op, axis):
     # TODO: experiment implementing this using ufunc.reduceat
     # http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.ufunc.reduceat.html
     # XXX: rename keepaxes to label=value? For group_aggregates we might
-    # want to keep the VG label if any
+    # want to keep the LGroup label if any
     def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
         assert out is None
         res = self
@@ -2614,7 +2614,7 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
         return res
 
     def _prepare_aggregate(self, op, args, kwargs=None, commutative=False, stack_depth=1):
-        """converts args to keys & VG and kwargs to VG"""
+        """converts args to keys & LGroup and kwargs to LGroup"""
 
         if kwargs is None:
             kwargs_items = []
@@ -2794,9 +2794,9 @@ def with_total(self, *args, **kwargs):
                 if not isinstance(axis, tuple):
                     # assume a single group
                     axis = (axis,)
-                vgkey = axis
-                axis = vgkey[0].axis
-                value = res._aggregate(npop[op], (vgkey,))
+                lgkey = axis
+                axis = lgkey[0].axis
+                value = res._aggregate(npop[op], (lgkey,))
             res = res.extend(axis, value)
         return res
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index ab2f36783..7924ada88 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -171,8 +171,8 @@ def labels(self, labels):
         else:
             # TODO: move this to _to_ticks????
             # we convert to an ndarray to save memory for scalar ticks (for
-            # LGroup ticks, it does not make a difference since a list of VG
-            # and an ndarray of VG are both arrays of pointers)
+            # LGroup ticks, it does not make a difference since a list of LGroup
+            # and an ndarray of LGroup are both arrays of pointers)
             ticks = _to_ticks(labels)
             if _contain_group_ticks(ticks):
                 # avoid getting a 2d array if all LGroup have the same length
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 0cd1bcf8c..d27348614 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -231,7 +231,7 @@ def test_getitem(self):
         # only Ellipsis
         assert_array_equal(la[...], raw)
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
@@ -271,7 +271,7 @@ def test_getitem_abstract_axes(self):
         # only Ellipsis
         assert_array_equal(la[...], raw)
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
@@ -320,7 +320,7 @@ def test_getitem_guess_axis(self):
         # only Ellipsis
         assert_array_equal(la[...], raw)
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         assert_array_equal(la[..., 'P01,P05,P09'], raw[..., [0, 4, 8]])
         assert_array_equal(la[..., ['P01', 'P05', 'P09']],
                            raw[..., [0, 4, 8]])
@@ -385,7 +385,7 @@ def test_getitem_positional_group(self):
         # only Ellipsis
         assert_array_equal(la[...], raw)
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
@@ -423,7 +423,7 @@ def test_getitem_abstract_positional(self):
         # only Ellipsis
         assert_array_equal(la[...], raw)
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
@@ -724,7 +724,7 @@ def test_setitem_larray(self):
         raw[[1, 5, 9]] = raw[[1, 5, 9]] + 25.0
         assert_array_equal(la, raw)
 
-        # b) value has exactly the same shape but VG at a "wrong" positions
+        # b) value has exactly the same shape but LGroup at a "wrong" positions
         la = self.larray.copy()
         la[geo[:], ages1_5_9] = la[ages1_5_9] + 25.0
         # same raw as previous test
@@ -782,7 +782,7 @@ def test_setitem_larray(self):
         la[...] = 0
         assert_array_equal(la, np.zeros_like(raw))
 
-        # Ellipsis and VG
+        # Ellipsis and LGroup
         la = self.larray.copy()
         raw = self.array.copy()
         la[..., lipro['P01,P05,P09']] = 0
@@ -952,16 +952,16 @@ def test_filter(self):
         # FIXME: this should raise a comprehensible error!
         # self.assertEqual(la.filter(age=[ages1_5_9]).shape, (3, 44, 2, 15))
 
-        # VG with 1 value => collapse
+        # LGroup with 1 value => collapse
         self.assertEqual(la.filter(age=ages11).shape, (44, 2, 15))
 
-        # VG with a list of 1 value => do not collapse
+        # LGroup with a list of 1 value => do not collapse
         self.assertEqual(la.filter(age=age[[11]]).shape, (1, 44, 2, 15))
 
-        # VG with a list of 1 value defined as a string => do not collapse
+        # LGroup with a list of 1 value defined as a string => do not collapse
         self.assertEqual(la.filter(lipro=lipro['P01,']).shape, (116, 44, 2, 1))
 
-        # VG with 1 value
+        # LGroup with 1 value
         # XXX: this does not work. Do we want to make this work?
         # filtered = la.filter(age=(ages11,))
         # self.assertEqual(filtered.shape, (1, 44, 2, 15))
@@ -1000,7 +1000,7 @@ def test_filter(self):
         # slices
         # ------
 
-        # VG slice
+        # LGroup slice
         self.assertEqual(la.filter(age=age[:17]).shape, (18, 44, 2, 15))
         # string slice
         self.assertEqual(la.filter(lipro=':P03').shape, (116, 44, 2, 3))
@@ -1721,7 +1721,7 @@ def test_filter_on_group_agg(self):
         # normal because reg.filter(geo=(vla,)) is equivalent to:
         # reg[((vla,),)] or reg[(vla,), :]
 
-        # mixed VG/string slices
+        # mixed LGroup/string slices
         child = age[:17]
         child_named = age[:17] >> 'child'
         working = age[18:64]
@@ -1739,7 +1739,7 @@ def test_filter_on_group_agg(self):
         byage = la.sum(age=(child_named, 5, working, retired))
         self.assertEqual(byage.filter(age=child_named).shape, (44, 2, 15))
 
-    def test_sum_several_vg_groups(self):
+    def test_sum_several_lg_groups(self):
         la, geo = self.larray, self.geo
         fla = geo[self.vla_str] >> 'Flanders'
         wal = geo[self.wal_str] >> 'Wallonia'
@@ -1749,7 +1749,7 @@ def test_sum_several_vg_groups(self):
         self.assertEqual(reg.shape, (116, 3, 2, 15))
 
         # the result is indexable
-        # a) by VG
+        # a) by LGroup
         self.assertEqual(reg.filter(geo=fla).shape, (116, 2, 15))
         self.assertEqual(reg.filter(geo=(fla, wal)).shape, (116, 2, 2, 15))
 
@@ -1767,7 +1767,7 @@ def test_sum_several_vg_groups(self):
         self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape,
                          (116, 2, 2, 15))
 
-        # b) by VG
+        # b) by LGroup
         self.assertEqual(reg.filter(geo=self.vla_str).shape, (116, 2, 15))
         self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape,
                          (116, 2, 2, 15))

From 16da1b8ed33508197cc2707dbbb948b1bfa76bcc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 22 May 2017 11:27:12 +0200
Subject: [PATCH 577/899] added lots of stuff to .gitignore

---
 .gitignore | 11 +++++++++--
 1 file changed, 9 insertions(+), 2 deletions(-)

diff --git a/.gitignore b/.gitignore
index e513cb638..3dd7261f4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,7 +1,14 @@
 doc/notebooks/.ipynb_checkpoints
-/doc/source/notebooks/.ipynb_checkpoints/
+doc/source/notebooks/.ipynb_checkpoints/
+doc/source/_generated/
 doc/build/
-.idea
+experiments/
+build/
+dist/
+.ipynb_checkpoints/
+.cache/
+.eggs/
+.idea/
 *.pyc
 *.pyd
 larray.egg-info

From 4188054263f65fd62836cc6f8ef90aac7b1ac73f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 23 May 2017 14:25:41 +0200
Subject: [PATCH 578/899] better docstring for AxisCollection.broadcast_with

---
 larray/core/array.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 1b19fab6a..6b50150f0 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2220,10 +2220,9 @@ def reshape_like(self, target):
         """
         return self.reshape(target.axes)
 
-    def broadcast_with(self, other):
+    def broadcast_with(self, target):
         """
         Returns an array that is (NumPy) broadcastable with target.
-        Target can be either a LArray or any collection of Axis.
 
         * all common axes must be either of length 1 or the same length
         * extra axes in source can have any length and will be moved to the
@@ -2236,18 +2235,22 @@ def broadcast_with(self, other):
 
         Parameters
         ----------
-        other : LArray or collection of Axis
+        target : LArray or collection of Axis
+
+        Returns
+        -------
+        LArray
         """
-        if isinstance(other, LArray):
-            other_axes = other.axes
+        if isinstance(target, LArray):
+            target_axes = target.axes
         else:
-            other_axes = other
-            if not isinstance(other, AxisCollection):
-                other_axes = AxisCollection(other_axes)
-        if self.axes == other_axes:
+            target_axes = target
+            if not isinstance(target, AxisCollection):
+                target_axes = AxisCollection(target_axes)
+        if self.axes == target_axes:
             return self
 
-        target_axes = (self.axes - other_axes) | other_axes
+        target_axes = (self.axes - target_axes) | target_axes
 
         # XXX: this breaks la['1,5,9'] = la['2,7,3']
         # but that use case should use drop_labels

From d9716516e8a225e6d9e1e3c196e694a7649f9b30 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 23 May 2017 16:23:31 +0200
Subject: [PATCH 579/899] added another doctest in AxisCollection.__init__

---
 larray/core/axis.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index 7924ada88..8091fcbdd 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1021,6 +1021,12 @@ class AxisCollection(object):
         Axis(['M', 'F'], 'sex'),
         Axis(['2007', '2008', '2009', '2010'], 'time')
     ])
+    >>> AxisCollection('age=0..9; sex=M,F; time=2007..2010')
+    AxisCollection([
+        Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age'),
+        Axis(['M', 'F'], 'sex'),
+        Axis([2007, 2008, 2009, 2010], 'time')
+    ])
     """
     def __init__(self, axes=None):
         if axes is None:

From e3ae75184e37781cfb720c84643cb430cc095dbb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 23 May 2017 16:26:06 +0200
Subject: [PATCH 580/899] raise explicit exception instead of using asserts to
 check for bad input

---
 larray/core/group.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index f4c15b546..5a2efee47 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -70,8 +70,8 @@ def irange(start, stop, step=None):
     """
     if step is None:
         step = 1
-    else:
-        assert step > 0
+    elif step <= 0:
+        raise ValueError("step must be a positive integer or None")
     step = step if start <= stop else -step
     stop = stop + 1 if start <= stop else stop - 1
     return range(start, stop, step)
@@ -79,6 +79,7 @@ def irange(start, stop, step=None):
 
 _range_bound_pattern = re.compile('([0-9]+|[a-zA-Z]+)')
 
+
 def generalized_range(start, stop, step=1):
     """Create a range, with inclusive stop bound and automatic sign for step. Bounds can be strings.
 
@@ -153,7 +154,8 @@ def generalized_range(start, stop, step=1):
                 r = [''.join(p) for p in product(*sranges)]
             else:
                 # special characters
-                assert start_part == stop_part
+                if start_part != stop_part:
+                    raise ValueError("Special characters must be the same for start and stop")
                 r = [start_part]
             ranges.append(r)
         res = [''.join(p) for p in product(*ranges)]

From 8ecbde5929769d086a7a088dd0a42484ed859ded Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 11:05:50 +0200
Subject: [PATCH 581/899] implemented .. for keys

---
 doc/source/changes/version_0_23.rst.inc | 24 +++++--
 larray/core/group.py                    | 89 ++++++++++++++++++-------
 2 files changed, 84 insertions(+), 29 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index a4103d8b6..5a5326528 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -12,19 +12,35 @@ Miscellaneous improvements
 
 * changed display of arrays (closes :issue:`243`):
 
-    >>> ndtest((3, 3))
+    >>> ndtest((2, 3))
     a\\b  b0  b1  b2
      a0   0   1   2
      a1   3   4   5
-     a2   6   7   8
 
   instead of
 
-    >>> ndtest((3, 3))
+    >>> ndtest((2, 3))
     a\\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
-     a2 |  6 |  7 |  8
+
+* `..` can now be used within keys (between []). Previously it could only be used to define new axes. As a reminder, it
+  generates increasing values between the two bounds. It is slightly different from : which takes everything between
+  the two bounds **in the axis order**.
+
+    >>> arr = ndrange('a=a1,a0,a2,a3')
+    >>> arr
+    a  a1  a0  a2  a3
+        0   1   2   3
+    >>> arr['a1..a3']
+    a  a1  a2  a3
+        0   2   3
+
+  this is different from `:` which takes everything in between the two bounds :
+
+    >>> arr['a1:a3']
+    a  a1  a0  a2  a3
+        0   1   2   3
 
 * set `sep` argument of from_string function to ' ' by default (closes :issue:`271`).
   For 1D array, a "-" must be added in front of the data line.
diff --git a/larray/core/group.py b/larray/core/group.py
index 5a2efee47..d9228e2e2 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -167,7 +167,7 @@ def generalized_range(start, stop, step=1):
 _range_str_pattern = re.compile('(?P<start>[^\s.]+)?\s*\.\.\s*(?P<stop>[^\s.]+)?(\s+step\s+(?P<step>\d+))?')
 
 
-def _range_str_to_range(s):
+def _range_str_to_range(s, stack_depth=1):
     """
     Converts a range string to a range (of values).
     The end point is included.
@@ -199,10 +199,11 @@ def _range_str_to_range(s):
 
     groups = m.groupdict()
     start, stop, step = groups['start'], groups['stop'], groups['step']
-    start = _parse_bound(start) if start is not None else 0
+    start = _parse_bound(start, stack_depth + 1) if start is not None else 0
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
-    stop = _parse_bound(stop)
+    stop = _parse_bound(stop, stack_depth + 1)
+    # TODO: use parse_bound
     step = int(step) if step is not None else 1
     return generalized_range(start, stop, step)
 
@@ -395,6 +396,50 @@ def _to_ticks(s):
 _axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
 
 
+def _seq_str_to_seq(s, stack_depth=1, parse_single_int=False):
+    """
+    Converts a sequence string as its sequence
+
+    Parameters
+    ----------
+    s : basestring
+        string to parse
+
+    Returns
+    -------
+    scalar, slice, range or list
+        a key represents any object that can be used for indexing
+    """
+    numcolons = s.count(':')
+    if numcolons:
+        assert numcolons <= 2
+        # bounds can be of len 2 or 3 (if step is provided)
+        # stack_depth + 2 because the list comp has its own stack
+        bounds = [_parse_bound(b, stack_depth + 2) for b in s.split(':')]
+        return slice(*bounds)
+    elif ',' in s and '..' in s:
+        # strip extremity commas to avoid empty string keys
+        s = s.strip(',')
+
+        def to_seq(b, stack_depth=1):
+            if '..' in b:
+                return _range_str_to_range(b, stack_depth + 1)
+            else:
+                parsed = _parse_bound(b, stack_depth + 1)
+                return (parsed,)
+
+        # stack_depth + 2 because the list comp has its own stack
+        return list(chain(*[to_seq(b, stack_depth + 2) for b in s.split(',')]))
+    elif ',' in s:
+        # strip extremity commas to avoid empty string keys
+        s = s.strip(',')
+        return [_parse_bound(b, stack_depth + 2) for b in s.split(',')]
+    elif '..' in s:
+        return _range_str_to_range(s, stack_depth + 1)
+    else:
+        return _parse_bound(s, stack_depth + 1, parse_int=parse_single_int)
+
+
 def _to_key(v, stack_depth=1, parse_single_int=False):
     """
     Converts a value to a key usable for indexing (slice object, list of values,...).
@@ -416,6 +461,10 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
     slice('a', 'c', None)
     >>> _to_key('a, b,c ,')
     ['a', 'b', 'c']
+    >>> _to_key('a..c')
+    ['a', 'b', 'c']
+    >>> _to_key('a,c..e,g..h,z')
+    ['a', 'c', 'd', 'e', 'g', 'h', 'z']
     >>> _to_key('a,')
     ['a']
     >>> _to_key(' a ')
@@ -440,16 +489,22 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
     # evaluated variables do not work on Python 2, probably because the stackdepth is different
     # >>> ext = [1, 2, 3]
     # >>> _to_key('{ext} >> ext')
-    # LGroup([1, 2, 3], name='ext')
+    # LGroup([1, 2, 3]) >> 'ext'
     # >>> answer = 42
     # >>> _to_key('{answer}')
     # 42
     # >>> _to_key('{answer} >> answer')
-    # LGroup(42, name='answer')
+    # LGroup(42) >> 'answer'
     # >>> _to_key('10:{answer} >> answer')
-    # LGroup(slice(10, 42, None), name='answer')
+    # LGroup(slice(10, 42, None)) >> 'answer'
     # >>> _to_key('4,{answer},2 >> answer')
-    # LGroup([4, 42, 2], name='answer')
+    # LGroup([4, 42, 2]) >> 'answer'
+    # >>> list(_to_key('40..{answer}'))
+    # [40, 41, 42]
+    # >>> _to_key('4,40..{answer},2')
+    # [4, 40, 41, 42, 2]
+    # >>> _to_key('4,40..{answer},2 >> answer')
+    # LGroup([4, 40, 41, 42, 2]) >> 'answer'
     """
     if isinstance(v, tuple):
         return list(v)
@@ -471,28 +526,12 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
             # care of the name earlier)
             assert key[-1] == ']'
             key = key[:-1]
-        cls = PGroup if positional else LGroup
         if name is not None or axis is not None:
+            cls = PGroup if positional else LGroup
             key = _to_key(key, stack_depth + 1, parse_single_int=positional)
             return cls(key, name=name, axis=axis)
         else:
-            numcolons = v.count(':')
-            if numcolons:
-                assert numcolons <= 2
-                # bounds can be of len 2 or 3 (if step is provided)
-                # stack_depth + 2 because the list comp has its own stack
-                bounds = [_parse_bound(b, stack_depth + 2)
-                          for b in v.split(':')]
-                return slice(*bounds)
-            else:
-                if ',' in v:
-                    # strip extremity commas to avoid empty string keys
-                    v = v.strip(',')
-                    # stack_depth + 2 because the list comp has its own stack
-                    return [_parse_bound(b, stack_depth + 2)
-                            for b in v.split(',')]
-                else:
-                    return _parse_bound(v, stack_depth + 1, parse_int=parse_single_int)
+            return _seq_str_to_seq(v, stack_depth + 1, parse_single_int=parse_single_int)
     elif v is Ellipsis or np.isscalar(v) or isinstance(v, (Group, slice, list, np.ndarray, ABCLArray, OrderedSet)):
         return v
     else:

From add2b6dc12a52a1cd11b6fce65dbe89608a6da02 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 11:26:24 +0200
Subject: [PATCH 582/899] handle multiple '..' and mixing them with ',' in axes
 definitions

---
 doc/source/changes/version_0_23.rst.inc | 13 +++++++++++++
 larray/core/axis.py                     |  3 +--
 larray/core/group.py                    | 15 ++++++++++-----
 3 files changed, 24 insertions(+), 7 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 5a5326528..21b64bb16 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -42,6 +42,16 @@ Miscellaneous improvements
     a  a1  a0  a2  a3
         0   1   2   3
 
+* in both axes definitions and keys (within []) `..` can now be mixed with `,` and other `..` :
+
+    >>> arr = ndrange('code=A,C..E,G,X..Z')
+    >>> arr
+    code  A  C  D  E  G  X  Y  Z
+          0  1  2  3  4  5  6  7
+    >>> arr['A,Z..X,G']
+    code  A  Z  Y  X  G
+          0  7  6  5  4
+
 * set `sep` argument of from_string function to ' ' by default (closes :issue:`271`).
   For 1D array, a "-" must be added in front of the data line.
 
@@ -62,3 +72,6 @@ Fixes
 * fixed using open_excel("inexisting file") yielding to ununderstandble error.
   The function returns an error if passing a non existing Excel file and overwrite_file=False
   (closes :issue:`265`).
+
+* integer-like strings in axis definition strings using `,` are converted to integers to be consistent with string
+  definitions using `..`. In other words, ndrange('a=1,2,3') did not create the same array than ndrange('a=1..3').
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 8091fcbdd..f6ba429bb 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -56,7 +56,6 @@ class Axis(ABCAxis):
     Axis([0, 1, 2, 3, 4], None)
     """
     # ticks instead of labels?
-    # XXX: make name and labels optional?
     def __init__(self, labels, name=None):
         if isinstance(name, Axis):
             name = name.name
@@ -1019,7 +1018,7 @@ class AxisCollection(object):
         Axis(3, None),
         Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age'),
         Axis(['M', 'F'], 'sex'),
-        Axis(['2007', '2008', '2009', '2010'], 'time')
+        Axis([2007, 2008, 2009, 2010], 'time')
     ])
     >>> AxisCollection('age=0..9; sex=M,F; time=2007..2010')
     AxisCollection([
diff --git a/larray/core/group.py b/larray/core/group.py
index d9228e2e2..8175ec224 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -360,6 +360,10 @@ def _to_ticks(s):
     --------
     >>> _to_ticks('M , F')
     ['M', 'F']
+    >>> _to_ticks('A,C..E,F..G,Z')
+    ['A', 'C', 'D', 'E', 'F', 'G', 'Z']
+    >>> _to_ticks('U')
+    ['U']
 
     >>> list(_to_ticks('..3'))
     [0, 1, 2, 3]
@@ -378,12 +382,13 @@ def _to_ticks(s):
     elif sys.version >= '3' and isinstance(s, range):
         return list(s)
     elif isinstance(s, basestring):
-        if ':' in s:
+        seq = _seq_str_to_seq(s)
+        if isinstance(seq, slice):
             raise ValueError("using : to define axes is deprecated, please use .. instead")
-        elif '..' in s:
-            return _range_str_to_range(s)
+        elif isinstance(seq, basestring):
+            return [seq]
         else:
-            return [v.strip() for v in s.split(',')]
+            return seq
     elif hasattr(s, '__array__'):
         return s.__array__()
     else:
@@ -1145,7 +1150,7 @@ class LGroup(Group):
     Examples
     --------
     >>> from larray import Axis, x
-    >>> age = Axis('age', '0..100')
+    >>> age = Axis('0..100', 'age')
     >>> teens = x.age[10:19].named('teens')
     >>> teens
     x.age[10:19] >> 'teens'

From 965847a0e2b8a9f2ae1e50c32031292c60a4c366 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 11:34:41 +0200
Subject: [PATCH 583/899] improved doctests for Axis

---
 larray/core/axis.py | 34 +++++++++++++++++++++++++++-------
 1 file changed, 27 insertions(+), 7 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index f6ba429bb..e2bd1fd8b 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -41,16 +41,36 @@ class Axis(ABCAxis):
 
     Examples
     --------
-    >>> age = Axis(10, 'age')
-    >>> age
-    Axis(10, 'age')
-    >>> age.name
-    'age'
-    >>> age.labels
-    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+    >>> gender = Axis(['M', 'F'], 'gender')
+    >>> gender
+    Axis(['M', 'F'], 'gender')
+    >>> gender.name
+    'gender'
+    >>> list(gender.labels)
+    ['M', 'F']
+
+    using a string definition
+
     >>> gender = Axis('gender=M,F')
     >>> gender
     Axis(['M', 'F'], 'gender')
+    >>> age = Axis('age=0..9')
+    >>> age
+    Axis([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], 'age')
+    >>> code = Axis('code=A,C..E,F..G,Z')
+    >>> code
+    Axis(['A', 'C', 'D', 'E', 'F', 'G', 'Z'], 'code')
+
+    a wildcard axis only needs a length
+
+    >>> row = Axis(10, 'row')
+    >>> row
+    Axis(10, 'row')
+    >>> row.labels
+    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
+
+    axes can also be defined without name
+
     >>> anonymous = Axis('0..4')
     >>> anonymous
     Axis([0, 1, 2, 3, 4], None)

From 0c11e4fbe7fb22b7c66b5471cdb9ac34204596fe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 11:47:16 +0200
Subject: [PATCH 584/899] made padding of integer numbers in .. optional

also changed a few asserts into explicit exceptions
---
 doc/source/changes/version_0_23.rst.inc | 12 ++++++++
 larray/core/group.py                    | 41 ++++++++++++++++++++++---
 2 files changed, 48 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 21b64bb16..7e015513a 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -52,6 +52,18 @@ Miscellaneous improvements
     code  A  Z  Y  X  G
           0  7  6  5  4
 
+* within .. extra zeros are only padded to numbers if zeros are present in the pattern.
+
+    >>> ndrange('code=A1..A12')
+    code  A1  A2  A3  A4  A5  A6  A7  A8  A9  A10  A11  A12
+           0   1   2   3   4   5   6   7   8    9   10   11
+
+    >>> ndrange('code=A01..A12')
+    code  A01  A02  A03  A04  A05  A06  A07  A08  A09  A10  A11  A12
+            0    1    2    3    4    5    6    7    8    9   10   11
+
+  in previous larray versions, the two above definitions returned the second array.
+
 * set `sep` argument of from_string function to ' ' by default (closes :issue:`271`).
   For 1D array, a "-" must be added in front of the data line.
 
diff --git a/larray/core/group.py b/larray/core/group.py
index 8175ec224..ec4788501 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -124,13 +124,32 @@ def generalized_range(start, stop, step=1):
 
     consecutive digits are treated like numbers
 
-    >>> generalized_range('P01', 'P12')
-    ['P01', 'P02', 'P03', 'P04', 'P05', 'P06', 'P07', 'P08', 'P09', 'P10', 'P11', 'P12']
+    >>> generalized_range('A8', 'A10')
+    ['A8', 'A9', 'A10']
+
+    one may use zero padding on numbers
+
+    >>> generalized_range('A08', 'A10')
+    ['A08', 'A09', 'A10']
 
     consecutive letters create all combinations
 
     >>> generalized_range('AA', 'CC')
     ['AA', 'AB', 'AC', 'BA', 'BB', 'BC', 'CA', 'CB', 'CC']
+
+    one cannot go from a integer to a letter and vice versa
+
+    >>> generalized_range('1', 'F')
+    Traceback (most recent call last):
+    ...
+    ValueError: expected an integer for the stop bound (because the start bound is an integer) but got 'F' instead
+
+    when using special characters, they must be the same on both sides
+
+    >>> generalized_range('a|1', 'a/2')
+    Traceback (most recent call last):
+    ...
+    ValueError: Special characters must be the same for start and stop
     """
     if isinstance(start, str):
         assert isinstance(stop, str)
@@ -142,9 +161,21 @@ def generalized_range(start, stop, step=1):
             # we only handle non-negative int-like strings on purpose. Int-only bounds should already be converted to
             # real integers by now, and mixing negative int-like strings and letters yields some strange results.
             if start_part.isdigit():
-                assert stop_part.isdigit()
-                numchr = max(len(start_part), len(stop_part))
-                r = ['%0*d' % (numchr, num) for num in irange(int(start_part), int(stop_part))]
+                if not stop_part.isdigit():
+                    raise ValueError("expected an integer for the stop bound (because the start bound is an integer) "
+                                     "but got '%s' instead" % stop_part)
+                rng = irange(int(start_part), int(stop_part))
+                start_pad = len(start_part) if start_part.startswith('0') else None
+                stop_pad = len(stop_part) if stop_part.startswith('0') else None
+                if start_pad is not None and stop_pad is not None and start_pad != stop_pad:
+                    raise ValueError("Inconsistent zero padding for start and stop ({} vs {}) of the numerical part. "
+                                     "Must be either the same on both sides or no padding on either "
+                                     "side".format(start_pad, stop_pad))
+                elif start_pad is None and stop_pad is None:
+                    r = [str(num) for num in rng]
+                else:
+                    pad = start_pad if stop_pad is None else stop_pad
+                    r = ['%0*d' % (pad, num) for num in rng]
             elif start_part.isalpha():
                 assert stop_part.isalpha()
                 int_start = [ord(c) for c in start_part]

From cbce1ce88edbcb05a27d00aa51d67e676b01a5ac Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 12:23:21 +0200
Subject: [PATCH 585/899] implemented retarget_to in Group so that LGroup
 implementation expand slices if necessary

in practice this is not really used yet though because there is an explicit test for PGroup
in LArray._translate_axis_key_chunk
---
 larray/core/group.py | 67 ++++++++++++++++++--------------------------
 1 file changed, 27 insertions(+), 40 deletions(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index ec4788501..9d454fb34 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -786,14 +786,37 @@ def to_label(self):
         raise NotImplementedError()
 
     def retarget_to(self, target_axis):
-        """
-        Retarget group to another axis. Potentially translating it to label using its former axis.
+        """Retarget group to another axis.
+
+        It will be translated to an LGroup using its former axis, if necessary.
+
+        Parameters
+        ----------
+        target_axis : Axis
+            axis to conform to
 
         Returns
         -------
-        Group
+        Group with axis, raise ValueError if retargeting is not possible
         """
-        raise NotImplementedError()
+        if self.axis is target_axis:
+            return self
+        elif isinstance(self.axis, basestring) or isinstance(self.axis, ABCAxisReference):
+            axis_name = self.axis.name if isinstance(self.axis, ABCAxisReference) else self.axis
+            if axis_name != target_axis.name:
+                raise ValueError('cannot retarget a Group defined without a real axis object (e.g. using '
+                                 'an AxisReference (x.)) to an axis with a different name')
+            return self.__class__(self.key, self.name, target_axis)
+        elif self.axis.equals(target_axis) or isinstance(self.axis, int):
+            # in the case of isinstance(self.axis, int), we can only hope the axis corresponds. This is the
+            # case if we come from _translate_axis_key_chunk, but if the users calls this manually, we cannot know.
+            # XXX: maybe changing this to retarget_to_axes would be a good idea after all?
+
+            # just change the axis object
+            return self.__class__(self.key, self.name, target_axis)
+        else:
+            # to retarget to another (non-equal) Axis, we need to translate to labels and expand slices
+            return LGroup(self.eval(), self.name, target_axis)
 
     def __len__(self):
         # XXX: we probably want to_label instead of .eval (so that we do not expand slices)
@@ -1223,11 +1246,6 @@ def eval(self):
             # we do not check the group labels are actually valid on Axis
             return self.key
 
-    def retarget_to(self, target_axis):
-        # TODO: it would be nice to check the labels actually exist on the new axis (if it is a real Axis)
-        #       however, I am unsure we can afford to do this by default (for performance reasons)
-        return LGroup(self.key, self.name, target_axis)
-
 
 class LSet(LGroup):
     """Label set.
@@ -1351,37 +1369,6 @@ def eval(self):
         else:
             raise ValueError("Cannot evaluate a positional group without axis")
 
-    def retarget_to(self, target_axis):
-        """Make sure a group has axis
-
-        Parameters
-        ----------
-        axis : Axis
-            axis to conform to
-
-        Returns
-        -------
-        Group with axis, raise ValueError otherwise
-        """
-        if self.axis is target_axis:
-            return self
-        elif isinstance(self.axis, basestring) or isinstance(self.axis, ABCAxisReference):
-            axis_name = self.axis.name if isinstance(self.axis, ABCAxisReference) else self.axis
-            if axis_name != target_axis.name:
-                raise ValueError('cannot retarget a PGroup defined without a real axis object (e.g. using '
-                                 'an AxisReference (x.)) to an axis with a different name')
-            return PGroup(self.key, self.name, target_axis)
-        elif self.axis.equals(target_axis) or isinstance(self.axis, int):
-            # in the case of isinstance(self.axis, int), we can only hope the axis corresponds. This is the
-            # case if we come from _translate_axis_key_chunk, but if the users calls this manually, we cannot know.
-            # XXX: maybe changing this to retarget_to_axes would be a good idea after all?
-
-            # just change the axis object
-            return PGroup(self.key, self.name, target_axis)
-        else:
-            # to retarget to another Axis, we need to translate to labels
-            return LGroup(self.to_label(), self.name, target_axis)
-
     def __hash__(self):
         return hash(('PGroup', _to_tick(self.key)))
 

From fd13f4d64c873087674e9617769afb2b22533851 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 13:11:24 +0200
Subject: [PATCH 586/899] added convert_float argument to excel.Sheet.load()

This is obscure enough that I am unsure this should be in the changelog
---
 larray/io/excel.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index 6cafc8658..e9ed04587 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -307,9 +307,8 @@ def __getattr__(self, key):
         def __setattr__(self, key, value):
             setattr(self.xw_sheet, key, value)
 
-        # TODO: add convert_float argument
-        def load(self, header=True, nb_index=None, index_col=None):
-            return self[:].load(header=header, nb_index=nb_index, index_col=index_col)
+        def load(self, header=True, convert_float=True, nb_index=None, index_col=None):
+            return self[:].load(header=header, convert_float=convert_float, nb_index=nb_index, index_col=index_col)
 
         # TODO: generalize to more than 2 dimensions or scrap it
         def array(self, data, row_labels=None, column_labels=None, names=None):

From 79ae4293ab56c3fe4dde571136648b7a8394e9cb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 13:19:28 +0200
Subject: [PATCH 587/899] implemented 0d LArray conversions to int, float,
 index

This is obscure enough I am unsure it should be in the changelog
---
 larray/core/array.py       |  9 +++++++++
 larray/tests/test_array.py | 13 +++++++++++++
 2 files changed, 22 insertions(+)

diff --git a/larray/core/array.py b/larray/core/array.py
index 6b50150f0..a884b28d6 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5101,6 +5101,15 @@ def __round__(self, n=0):
         # XXX: use the ufuncs.round instead?
         return np.round(self, decimals=n)
 
+    def __index__(self):
+        return self.data.__index__()
+
+    def __int__(self):
+        return self.data.__int__()
+
+    def __float__(self):
+        return self.data.__float__()
+
     def divnot0(self, other):
         """Divides array by other, but returns 0.0 where other is 0.
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index d27348614..44b3a2168 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3176,6 +3176,19 @@ def test_stack(self):
                                    FO         3  1.0  0.0""")
         assert_array_equal(res, expected)
 
+    def test_0darray_convert(self):
+        int_arr = LArray(1)
+        assert int(int_arr) == 1
+        assert float(int_arr) == 1.0
+        assert int_arr.__index__() == 1
+
+        float_arr = LArray(1.0)
+        assert int(float_arr) == 1
+        assert float(float_arr) == 1.0
+        with pytest.raises(TypeError) as e_info:
+            float_arr.__index__()
+        assert e_info.value.args[0] == "only integer scalar arrays can be converted to a scalar index"
+
 if __name__ == "__main__":
     # import doctest
     # import unittest

From d9f313096f9edaca2e2418122fc5acc2ead88c06 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 13:30:30 +0200
Subject: [PATCH 588/899] slight improvements to test_array.py

---
 larray/tests/test_array.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 44b3a2168..206323667 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -49,7 +49,7 @@ def test_split(self):
         self.assertEqual(_to_key('M'), 'M')
 
     def test_slice_strings(self):
-        # XXX: these two examples return different things, do we want that?
+        # these two examples have different results and this is fine because numeric axes do not necessarily start at 0
         self.assertEqual(_to_key('0:115'), slice(0, 115))
         self.assertEqual(_to_key(':115'), slice(115))
         self.assertEqual(_to_key('10:'), slice(10, None))
@@ -1382,7 +1382,7 @@ def test_group_agg_label_group_no_axis(self):
         self.assertEqual(la.sum(LGroup('M,F')).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(LGroup('A11,A21,A25')).shape, (116, 2, 15))
-        self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape, 
+        self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape,
                          (116, 2, 15))
 
         # Include everything between two labels. Since A11 is the first label
@@ -2656,7 +2656,7 @@ def test_open_excel(self):
 
         # 2) with headers
         # ===============
-        with open_excel(abspath('test_open_excel.xlsx'), overwrite_file=True) as wb:
+        with open_excel(visible=False) as wb:
             # 1D
             a1 = ndtest(3)
 
@@ -2736,7 +2736,7 @@ def test_open_excel(self):
 
         # 3) without headers
         # ==================
-        with open_excel(abspath('test_open_excel_no_headers.xlsx'), overwrite_file=True) as wb:
+        with open_excel(visible=False) as wb:
             # 1D
             a1 = ndtest(3)
 

From 3fac7fe2fd0b82e19118a1ef5a1ddbf44f19074f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 14:23:07 +0200
Subject: [PATCH 589/899] improved error message when trying to access
 nonexistent sheet in excel.Workbook (closes #266)

---
 doc/source/changes/version_0_23.rst.inc |  7 ++++---
 larray/io/excel.py                      |  5 ++++-
 larray/tests/test_excel.py              | 20 ++++++++++++++++++--
 3 files changed, 26 insertions(+), 6 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 7e015513a..8aff3a261 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -78,12 +78,13 @@ Miscellaneous improvements
          BE  0  1
          FO  2  3
 
+* improved error message when trying to access nonexistent sheet in excel.Workbook (closes :issue:`266`).
+
 Fixes
 -----
 
-* fixed using open_excel("inexisting file") yielding to ununderstandble error.
-  The function returns an error if passing a non existing Excel file and overwrite_file=False
-  (closes :issue:`265`).
+* open_excel('non existent file') will raise an explicit error immediately when overwrite_file is False, instead of
+  failing at a seemingly random point later on (closes :issue:`265`).
 
 * integer-like strings in axis definition strings using `,` are converted to integers to be consistent with string
   definitions using `..`. In other words, ndrange('a=1,2,3') did not create the same array than ndrange('a=1..3').
diff --git a/larray/io/excel.py b/larray/io/excel.py
index e9ed04587..f4f503539 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -171,7 +171,10 @@ def __contains__(self, key):
                 return key in self.sheet_names()
 
         def __getitem__(self, key):
-            return Sheet(self, key)
+            if key in self:
+                return Sheet(self, key)
+            else:
+                raise KeyError('Workbook has no sheet named {}'.format(key))
 
         def __setitem__(self, key, value):
             if self.new_workbook:
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index a83c49ef4..448198867 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -7,12 +7,12 @@
 except ImportError:
     xw = None
 
-from larray import open_excel
+from larray import ndtest, larray_equal, open_excel
 from larray.io import excel
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
-class TestExcel(object):
+class TestWorkbook(object):
     def test_open_excel(self):
         # not using context manager because we call .quit manually
         wb1 = open_excel(visible=False)
@@ -35,6 +35,22 @@ def test_open_excel(self):
         with open_excel(visible=False) as wb:
             wb['test'] = 'content'
 
+    def test_getitem(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+            assert isinstance(sheet, excel.Sheet)
+            # this might not be true on non-English locale
+            assert sheet.name == 'Sheet1'
+
+            # this might not work on non-English locale
+            sheet = wb['Sheet1']
+            assert isinstance(sheet, excel.Sheet)
+            assert sheet.name == 'Sheet1'
+
+            with pytest.raises(KeyError) as e_info:
+                wb['this_sheet_does_not_exist']
+            assert e_info.value.args[0] == "Workbook has no sheet named this_sheet_does_not_exist"
+
     def test_setitem(self):
         with open_excel(visible=False) as wb:
             # sheet did not exist, str value

From 3f5f61adeede0c6056967eafae1705ce3d091347 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 14:30:05 +0200
Subject: [PATCH 590/899] fixed reading a single cell from an Excel sheet (with
 option conversion)

---
 doc/source/changes/version_0_23.rst.inc |  2 +
 larray/io/excel.py                      | 29 ++++++++----
 larray/tests/test_excel.py              | 59 ++++++++++++++++++++++++-
 3 files changed, 81 insertions(+), 9 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 8aff3a261..43da6997f 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -88,3 +88,5 @@ Fixes
 
 * integer-like strings in axis definition strings using `,` are converted to integers to be consistent with string
   definitions using `..`. In other words, ndrange('a=1,2,3') did not create the same array than ndrange('a=1..3').
+
+* fixed reading a single cell from an Excel sheet
diff --git a/larray/io/excel.py b/larray/io/excel.py
index f4f503539..8bd1185b1 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -385,16 +385,29 @@ def convert(value):
                         int_val = int(value)
                         if int_val == value:
                             return int_val
-                    return value
-                if self.ndim == 1:
-                    list_data = [convert(v) for v in list_data]
-                elif self.ndim == 2:
-                    list_data = [[convert(v) for v in line]
-                                 for line in list_data]
-                else:
-                    raise ValueError("invalid ndim: %d" % self.ndim)
+                        return value
+                    elif isinstance(value, list):
+                        return [convert(v) for v in value]
+                    else:
+                        return value
+                return convert(list_data)
             return list_data
 
+        def __float__(self):
+            # no need to use _converted_value because we will convert back to a float anyway
+            return float(self.xw_range.value)
+
+        def __int__(self):
+            # no need to use _converted_value because we will convert to an int anyway
+            return int(self.xw_range.value)
+
+        def __index__(self):
+            v = self._converted_value()
+            if hasattr(v, '__index__'):
+                return v.__index__()
+            else:
+                raise TypeError("only integer scalars can be converted to a scalar index")
+
         def __array__(self, dtype=None):
             return np.array(self._converted_value(), dtype=dtype)
 
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 448198867..9afcc79ce 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -1,6 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
 import pytest
+import numpy as np
 
 try:
     import xlwings as xw
@@ -92,5 +93,61 @@ def test_rename(self):
             assert wb.sheet_names() == ['renamed']
 
 
+@pytest.mark.skipif(xw is None, reason="xlwings is not available")
+class TestSheet(object):
+    def test_get_and_set_item(self):
+        arr = ndtest((2, 3))
+
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+            # set a few values
+            sheet['A1'] = 1.5
+            sheet['A2'] = 2
+            sheet['A3'] = True
+            sheet['A4'] = 'toto'
+            # array without header
+            sheet['A5'] = arr
+            # array with header
+            sheet['A8'] = arr.dump()
+
+            # read them back
+            assert sheet['A1'].value == 1.5
+            assert sheet['A2'].value == 2
+            assert sheet['A3'].value == True
+            assert sheet['A4'].value == 'toto'
+            # array without header
+            assert np.array_equal(sheet['A5:C6'].value, arr.data)
+            # array with header
+            assert larray_equal(sheet['A8:D10'].load(), arr)
+
+
+@pytest.mark.skipif(xw is None, reason="xlwings is not available")
+class TestRange(object):
+    def test_scalar_convert(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+            # set a few values
+            sheet['A1'] = 1
+            rng = sheet['A1']
+            assert int(rng) == 1
+            assert float(rng) == 1.0
+            assert rng.__index__() == 1
+
+            sheet['A2'] = 1.0
+            rng = sheet['A2']
+            assert int(rng) == 1
+            assert float(rng) == 1.0
+            # Excel stores everything as float so we cannot really make the difference between 1 and 1.0
+            assert rng.__index__() == 1
+
+            sheet['A3'] = 1.5
+            rng = sheet['A3']
+            assert int(rng) == 1
+            assert float(rng) == 1.5
+            with pytest.raises(TypeError) as e_info:
+                rng.__index__()
+            assert e_info.value.args[0] == "only integer scalars can be converted to a scalar index"
+
+
 if __name__ == "__main__":
-    pytest.main()
\ No newline at end of file
+    pytest.main()

From a4e2394886e9b272cc9f10ffa2c415468ee9d55a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 15:06:18 +0200
Subject: [PATCH 591/899] implemented __repr__ for Excel workbooks and sheets

---
 doc/source/changes/version_0_23.rst.inc | 13 +++++++++++--
 larray/io/excel.py                      |  9 +++++++++
 larray/tests/test_excel.py              | 11 +++++++++++
 3 files changed, 31 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 43da6997f..8de4a7dc8 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -78,7 +78,16 @@ Miscellaneous improvements
          BE  0  1
          FO  2  3
 
-* improved error message when trying to access nonexistent sheet in excel.Workbook (closes :issue:`266`).
+* improved error message when trying to access nonexistent sheet in an Excel workbook (closes :issue:`266`).
+
+* improved string representation of Excel workbooks and sheets (they mention the actual file/sheet they correspond to).
+  This is mostly useful in the interactive console to check what an object corresponds to.
+
+    >>> wb = open_excel()
+    >>> wb
+    <larray.io.excel.Workbook [Book1]>
+    >>> wb[0]
+    <larray.io.excel.Sheet [Book1]Sheet1>
 
 Fixes
 -----
@@ -89,4 +98,4 @@ Fixes
 * integer-like strings in axis definition strings using `,` are converted to integers to be consistent with string
   definitions using `..`. In other words, ndrange('a=1,2,3') did not create the same array than ndrange('a=1..3').
 
-* fixed reading a single cell from an Excel sheet
+* fixed reading a single cell from an Excel sheet.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 8bd1185b1..cc733d477 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -245,6 +245,10 @@ def __enter__(self):
         def __exit__(self, type_, value, traceback):
             self.close()
 
+        def __repr__(self):
+            cls = self.__class__
+            return '<{}.{} [{}]>'.format(cls.__module__, cls.__name__, self.name)
+
 
     def _concrete_key(key, shape):
         if not isinstance(key, tuple):
@@ -343,6 +347,11 @@ def array(self, data, row_labels=None, column_labels=None, names=None):
                 axes = (row_labels, column_labels)
             return LArray(self[data], axes)
 
+        def __repr__(self):
+            cls = self.__class__
+            xw_sheet = self.xw_sheet
+            return '<{}.{} [{}]{}>'.format(cls.__module__, cls.__name__, xw_sheet.book.name, xw_sheet.name)
+
 
     class Range(object):
         def __init__(self, sheet, *args):
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 9afcc79ce..15517af8a 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -1,5 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
+import re
+
 import pytest
 import numpy as np
 
@@ -36,6 +38,10 @@ def test_open_excel(self):
         with open_excel(visible=False) as wb:
             wb['test'] = 'content'
 
+    def test_repr(self):
+        with open_excel(visible=False) as wb:
+            assert re.match('<larray.io.excel.Workbook \[Book\d+\]>', repr(wb))
+
     def test_getitem(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
@@ -120,6 +126,11 @@ def test_get_and_set_item(self):
             # array with header
             assert larray_equal(sheet['A8:D10'].load(), arr)
 
+    def test_repr(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+            assert re.match('<larray.io.excel.Sheet \[Book\d+\]Sheet1>', repr(sheet))
+
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
 class TestRange(object):

From b15e4afa45c460891fcd2f775bbefe890fd5a922 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 15:41:34 +0200
Subject: [PATCH 592/899] when creating an Axis from a Group and no explicit
 name was given, reuse the name of the group axis

---
 doc/source/changes/version_0_23.rst.inc | 6 ++++++
 larray/core/axis.py                     | 2 ++
 2 files changed, 8 insertions(+)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 8de4a7dc8..f4a3a7843 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -80,6 +80,12 @@ Miscellaneous improvements
 
 * improved error message when trying to access nonexistent sheet in an Excel workbook (closes :issue:`266`).
 
+* when creating an Axis from a Group and no explicit name was given, reuse the name of the group axis.
+
+    >>> a = Axis('a=a0..a2')
+    >>> Axis(a[:'a1'])
+    Axis(['a0', 'a1'], 'a')
+
 * improved string representation of Excel workbooks and sheets (they mention the actual file/sheet they correspond to).
   This is mostly useful in the interactive console to check what an object corresponds to.
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index e2bd1fd8b..96b0c0411 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -77,6 +77,8 @@ class Axis(ABCAxis):
     """
     # ticks instead of labels?
     def __init__(self, labels, name=None):
+        if isinstance(labels, Group) and name is None:
+            name = labels.axis
         if isinstance(name, Axis):
             name = name.name
         if isinstance(labels, basestring):

From d2a18d2ba7dbc4592f98129ab87532ac513953e6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 15:43:53 +0200
Subject: [PATCH 593/899] allowed to create an array using a single group as if
 it was an Axis.

---
 doc/source/changes/version_0_23.rst.inc | 11 +++++++++++
 larray/core/axis.py                     |  2 +-
 larray/tests/test_array.py              | 19 +++++++++++++++++++
 3 files changed, 31 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index f4a3a7843..de6a5731a 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -86,6 +86,17 @@ Miscellaneous improvements
     >>> Axis(a[:'a1'])
     Axis(['a0', 'a1'], 'a')
 
+* allowed to create an array using a single group as if it was an Axis.
+
+    >>> a = Axis('a=a0..a2')
+    >>> ndrange(a)
+    a  a0  a1  a2
+        0   1   2
+    >>> # using a group as an axis
+    >>> ndrange(a[:'a1'])
+    a  a0  a1
+        0   1
+
 * improved string representation of Excel workbooks and sheets (they mention the actual file/sheet they correspond to).
   This is mostly useful in the interactive console to check what an object corresponds to.
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 96b0c0411..f983e511d 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1052,7 +1052,7 @@ class AxisCollection(object):
     def __init__(self, axes=None):
         if axes is None:
             axes = []
-        elif isinstance(axes, (int, long, Axis)):
+        elif isinstance(axes, (int, long, Group, Axis)):
             axes = [axes]
         elif isinstance(axes, str):
             axes = [axis.strip() for axis in axes.split(';')]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 206323667..2219a5af4 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -92,6 +92,25 @@ def setUp(self):
         self.small = LArray(self.small_data, axes=(self.sex, self.lipro),
                             title=self.small_title)
 
+    def test_ndrange(self):
+        arr = ndrange('a=a0..a2')
+        self.assertEqual(arr.shape, (3,))
+        self.assertEqual(arr.axes.names, ['a'])
+        assert_array_equal(arr.data, np.arange(3))
+
+        # using an explicit Axis object
+        a = Axis('a=a0..a2')
+        arr = ndrange(a)
+        self.assertEqual(arr.shape, (3,))
+        self.assertEqual(arr.axes.names, ['a'])
+        assert_array_equal(arr.data, np.arange(3))
+
+        # using a group as an axis
+        arr = ndrange(a[:'a1'])
+        self.assertEqual(arr.shape, (2,))
+        self.assertEqual(arr.axes.names, ['a'])
+        assert_array_equal(arr.data, np.arange(2))
+
     def test_getattr(self):
         self.assertEqual(type(self.larray.geo), Axis)
         self.assertIs(self.larray.geo, self.geo)

From 7ba3475d51ad4a15ff9725985d7e754715ecb6eb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 15:51:59 +0200
Subject: [PATCH 594/899] added explicit unit test for creating an Axis from a
 group

---
 larray/tests/test_axis.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 5b2d844ac..b55ab6678 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -32,7 +32,13 @@ def test_init(self):
         # list of ints
         assert_array_equal(Axis(range(116), 'age').labels, np.arange(116))
         # range-string
-        assert_array_equal(Axis('..115', 'age').labels, np.arange(116))
+        axis = Axis('0..115', 'age')
+        assert_array_equal(axis.labels, np.arange(116))
+        # another axis group
+        group = axis[:10]
+        group_axis = Axis(group)
+        assert_array_equal(group_axis.labels, np.arange(11))
+        assert_array_equal(group_axis.name, 'age')
 
     def test_equals(self):
         self.assertTrue(Axis('sex=M,F').equals(Axis('sex=M,F')))
@@ -770,4 +776,4 @@ def test_repr(self):
 
 
 if __name__ == "__main__":
-    pytest.main()
\ No newline at end of file
+    pytest.main()

From f169e480e8a69ecc1a1ebec410263f58b8533176 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 16:12:13 +0200
Subject: [PATCH 595/899] fixed script execution not resuming after quitting
 the viewer when it was called using view(a_single_array).

---
 doc/source/changes/version_0_23.rst.inc | 2 ++
 larray/viewer/api.py                    | 8 +++++---
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index de6a5731a..6237ba7d6 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -116,3 +116,5 @@ Fixes
   definitions using `..`. In other words, ndrange('a=1,2,3') did not create the same array than ndrange('a=1..3').
 
 * fixed reading a single cell from an Excel sheet.
+
+* fixed script execution not resuming after quitting the viewer when it was called using view(a_single_array).
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index c8a446884..1d5879baa 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -7,7 +7,7 @@
 import numpy as np
 import larray as la
 
-from qtpy.QtWidgets import QApplication
+from qtpy.QtWidgets import QApplication, QMainWindow
 from larray.viewer.view import MappingEditor, ArrayEditor, SessionComparator, ArrayComparator
 
 __all__ = ['view', 'edit', 'compare']
@@ -16,6 +16,7 @@
 def qapplication():
     return QApplication(sys.argv)
 
+
 def find_names(obj, depth=0):
     """Return all names an object is bound to.
 
@@ -61,6 +62,7 @@ def get_title(obj, depth=0, maxnames=3):
         names = names[:maxnames] + ['...']
     return ', '.join(names)
 
+
 def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
     """
     Opens a new editor window. If no object is given,
@@ -108,14 +110,14 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
 
     dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
     if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
-        if parent or isinstance(dlg, MappingEditor):
+        if parent or isinstance(dlg, QMainWindow):
             dlg.show()
+            _app.exec_()
         else:
             dlg.exec_()
     if parent is None:
         restore_except_hook()
 
-    _app.exec_()
 
 def view(obj=None, title='', depth=0):
     """

From 97294b2bc2502c916a81f8415bb3fcc57edb91a1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 16:20:13 +0200
Subject: [PATCH 596/899] fixed opening the viewer after showing a plot window.

In that case the plot window creates a Qt App which still exists by the
time we try to open the viewer, so we reuse it, but in that case we do not
set the OrganizationName nor ApplicationName and so the QSettings() is blank
and settings.value("recentFileList") returns None and it crashed.
---
 doc/source/changes/version_0_23.rst.inc | 2 ++
 larray/viewer/view.py                   | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 6237ba7d6..4af694a71 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -118,3 +118,5 @@ Fixes
 * fixed reading a single cell from an Excel sheet.
 
 * fixed script execution not resuming after quitting the viewer when it was called using view(a_single_array).
+
+* fixed opening the viewer after showing a plot window.
diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index a92d389e4..90936b53c 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -1644,6 +1644,8 @@ def update_recent_files(self, filepaths):
     def update_recent_file_actions(self):
         settings = QSettings()
         recent_files = settings.value("recentFileList")
+        if recent_files is None:
+            recent_files = []
 
         # zip will iterate up to the shortest of the two
         for filepath, action in zip(recent_files, self.recent_file_actions):

From a5e8c2f57e9b42e7a2c5217143e525b248bc6d28 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 16:34:11 +0200
Subject: [PATCH 597/899] do not display an error when setting the value of an
 element of a non LArray sequence in the viewer console

---
 doc/source/changes/version_0_23.rst.inc | 5 +++++
 larray/viewer/view.py                   | 3 ++-
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 4af694a71..13c291ff3 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -120,3 +120,8 @@ Fixes
 * fixed script execution not resuming after quitting the viewer when it was called using view(a_single_array).
 
 * fixed opening the viewer after showing a plot window.
+
+* do not display an error when setting the value of an element of a non LArray sequence in the viewer console
+
+    >>> l = [1, 2, 3]
+    >>> l[0] = 42
diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index 90936b53c..c11f04ac1 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -1435,7 +1435,8 @@ def ipython_cell_executed(self):
             varname = m.group(1)
             # otherwise it should have failed at this point, but let us be sure
             if varname in clean_ns:
-                self.select_list_item(varname)
+                if self._display_in_grid(varname, clean_ns[varname]):
+                    self.select_list_item(varname)
         else:
             # not setitem => assume expr or normal assignment
             if last_input in clean_ns:

From 979ba6fbc7e6d6393a9ca5b5682f9f80fb99a6f6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 17:01:00 +0200
Subject: [PATCH 598/899] hopefully fix 0d convert test on numpy < 1.12

---
 larray/tests/test_array.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 2219a5af4..e6969359b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3206,7 +3206,11 @@ def test_0darray_convert(self):
         assert float(float_arr) == 1.0
         with pytest.raises(TypeError) as e_info:
             float_arr.__index__()
-        assert e_info.value.args[0] == "only integer scalar arrays can be converted to a scalar index"
+
+        msg = e_info.value.args[0]
+        expected_np11 = "only integer arrays with one element can be converted to an index"
+        expected_np12 = "only integer scalar arrays can be converted to a scalar index"
+        assert msg == expected_np11 or expected_np12
 
 if __name__ == "__main__":
     # import doctest

From 6511f27c0971620601025a343828073c5f37f8ce Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 13:11:05 +0200
Subject: [PATCH 599/899] fixed _seq_str_to_seq docstring & comments

---
 larray/core/group.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index 9d454fb34..655eedac1 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -434,7 +434,7 @@ def _to_ticks(s):
 
 def _seq_str_to_seq(s, stack_depth=1, parse_single_int=False):
     """
-    Converts a sequence string as its sequence
+    Converts a sequence string to its sequence (or scalar)
 
     Parameters
     ----------
@@ -444,7 +444,6 @@ def _seq_str_to_seq(s, stack_depth=1, parse_single_int=False):
     Returns
     -------
     scalar, slice, range or list
-        a key represents any object that can be used for indexing
     """
     numcolons = s.count(':')
     if numcolons:
@@ -454,7 +453,7 @@ def _seq_str_to_seq(s, stack_depth=1, parse_single_int=False):
         bounds = [_parse_bound(b, stack_depth + 2) for b in s.split(':')]
         return slice(*bounds)
     elif ',' in s and '..' in s:
-        # strip extremity commas to avoid empty string keys
+        # strip extremity commas to avoid empty string sequence elements
         s = s.strip(',')
 
         def to_seq(b, stack_depth=1):
@@ -467,7 +466,7 @@ def to_seq(b, stack_depth=1):
         # stack_depth + 2 because the list comp has its own stack
         return list(chain(*[to_seq(b, stack_depth + 2) for b in s.split(',')]))
     elif ',' in s:
-        # strip extremity commas to avoid empty string keys
+        # strip extremity commas to avoid empty string sequence elements
         s = s.strip(',')
         return [_parse_bound(b, stack_depth + 2) for b in s.split(',')]
     elif '..' in s:

From 9dfd5e69452b1c2b1138933cdda522428f4132e0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 13:13:06 +0200
Subject: [PATCH 600/899] fixed numpy < 1.12 fix :)

---
 larray/tests/test_array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index e6969359b..62e5b3db2 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3210,7 +3210,7 @@ def test_0darray_convert(self):
         msg = e_info.value.args[0]
         expected_np11 = "only integer arrays with one element can be converted to an index"
         expected_np12 = "only integer scalar arrays can be converted to a scalar index"
-        assert msg == expected_np11 or expected_np12
+        assert msg in {expected_np11, expected_np12}
 
 if __name__ == "__main__":
     # import doctest

From 0c91aa06a72648ec16419a29eaf2d10889cb544f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 24 May 2017 17:19:04 +0200
Subject: [PATCH 601/899] implemented as_table(light=True)

---
 larray/core/array.py | 23 +++++++++++++++++++++--
 larray/util/misc.py  | 30 ++++++++++++++++++++++++++++++
 2 files changed, 51 insertions(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index a884b28d6..d0eb3b15b 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -104,7 +104,8 @@
 from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
 from larray.core.axis import Axis, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, csv_open, skip_comment_cells, strip_rows, _isnoneslice)
+                              float_error_handler_factory, csv_open, skip_comment_cells, strip_rows, _isnoneslice,
+                              light_product)
 
 nan = np.nan
 
@@ -2358,7 +2359,7 @@ def __str__(self):
     def __iter__(self):
         return LArrayIterator(self)
 
-    def as_table(self, maxlines=None, edgeitems=5):
+    def as_table(self, maxlines=None, edgeitems=5, light=False):
         """
         Generator. Returns next line of the table representing an array.
 
@@ -2376,6 +2377,22 @@ def as_table(self, maxlines=None, edgeitems=5):
         -------
         list
             Next line of the table as a list.
+
+        Examples
+        --------
+        >>> arr = ndtest((2, 2, 3))
+        >>> list(arr.as_table())  # doctest: +NORMALIZE_WHITESPACE
+        [['a', 'b\\\\c', 'c0', 'c1', 'c2'],
+         ['a0', 'b0', 0, 1, 2],
+         ['a0', 'b1', 3, 4, 5],
+         ['a1', 'b0', 6, 7, 8],
+         ['a1', 'b1', 9, 10, 11]]
+        >>> list(arr.as_table(light=True))  # doctest: +NORMALIZE_WHITESPACE
+        [['a', 'b\\\\c', 'c0', 'c1', 'c2'],
+         ['a0', 'b0', 0, 1, 2],
+         ['', 'b1', 3, 4, 5],
+         ['a1', 'b0', 6, 7, 8],
+         ['', 'b1', 9, 10, 11]]
         """
         if not self.ndim:
             return
@@ -2400,6 +2417,8 @@ def as_table(self, maxlines=None, edgeitems=5):
             # There is no vertical axis, so the axis name should not have
             # any "tick" below it and we add an empty "tick".
             ticks = [['']]
+        elif light:
+            ticks = light_product(*labels)
         else:
             ticks = product(*labels)
         # returns the first line (axes names + labels of last axis)
diff --git a/larray/util/misc.py b/larray/util/misc.py
index 904348da0..51985c085 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -212,6 +212,36 @@ def rproduct(*i):
     return product(*[x[::-1] for x in i])
 
 
+def light_product(*iterables, **kwargs):
+    """Cartesian product of input iterables, replacing repeated values by empty strings.
+
+    Parameters
+    ----------
+    *iterables : iterable
+        Input iterables
+    repeat : int, optional
+        Number of times to repeat (reuse) input iterables
+
+    Returns
+    -------
+    Generator
+
+    Examples
+    --------
+    >>> list(light_product('ab', range(3)))
+    [('a', 0), ('', 1), ('', 2), ('b', 0), ('', 1), ('', 2)]
+    >>> list(light_product('ab', repeat=2))
+    [('a', 'a'), ('', 'b'), ('b', 'a'), ('', 'b')]
+    """
+    repeat = kwargs.pop('repeat', 1)
+    p = product(*iterables, repeat=repeat)
+    prev_t = (None,) * len(iterables) * repeat
+    for t in p:
+        yield tuple(e if e != prev_e else ''
+                    for e, prev_e in zip(t, prev_t))
+        prev_t = t
+
+
 def array_nan_equal(a, b):
     if np.issubdtype(a.dtype, np.str) and np.issubdtype(b.dtype, np.str):
         return np.array_equal(a, b)

From 51a437c58ae79c3ffa59c71428a7d0531574e6dd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 13:05:35 +0200
Subject: [PATCH 602/899] allowed to use axes (Axis objects) to subset arrays
 (part of #210).

---
 doc/source/changes/version_0_23.rst.inc | 13 +++++++++++++
 larray/core/array.py                    | 17 +++++++++++++----
 larray/tests/test_array.py              | 13 +++++++++++++
 3 files changed, 39 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 13c291ff3..c82c17876 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -97,6 +97,19 @@ Miscellaneous improvements
     a  a0  a1
         0   1
 
+* allowed to use axes (Axis objects) to subset arrays (part of :issue:`210`).
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> b2 = Axis('b=b0,b2')
+    >>> arr[b2]
+    a\b  b0  b2
+     a0   0   2
+     a1   3   5
+
 * improved string representation of Excel workbooks and sheets (they mention the actual file/sheet they correspond to).
   This is mostly useful in the interactive console to check what an object corresponds to.
 
diff --git a/larray/core/array.py b/larray/core/array.py
index d0eb3b15b..f8f2c2501 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -102,7 +102,7 @@
 from larray.core.abc import ABCLArray
 from larray.core.expr import ExprNode
 from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
-from larray.core.axis import Axis, AxisCollection, x, _make_axis
+from larray.core.axis import Axis, AxisReference, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
                               float_error_handler_factory, csv_open, skip_comment_cells, strip_rows, _isnoneslice,
                               light_product)
@@ -1685,11 +1685,20 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
         PGroup
             Positional group with valid axes (from self.axes)
         """
+        # translate Axis keys to LGroup keys
+        # FIXME: this should be simply:
+        # if isinstance(axis_key, Axis):
+        #     axis_key = axis_key[:]
+        # but it does not work for some reason (the retarget does not seem to happen)
+        if isinstance(axis_key, Axis):
+            real_axis = self.axes[axis_key]
+            if isinstance(axis_key, AxisReference) or axis_key.equals(real_axis):
+                axis_key = real_axis[:]
+            else:
+                axis_key = axis_key.labels
+
         # TODO: do it for Group without axis too
         # TODO: do it for LArray key too (but using .i[] instead)
-        # TODO: we should skip this chunk stuff for keys where the axis is known
-        #       otherwise we do translate(key[:1]) without any reason
-        #       (in addition to translate(key))
         if isinstance(axis_key, (tuple, list, np.ndarray)):
             axis = None
             # TODO: I should actually do some benchmarks to see if this is
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 62e5b3db2..ef9210c49 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -701,6 +701,19 @@ def test_getitem_int_ndarray_key_guess(self):
         res = arr[key]
         self.assertEqual(res.axes, [c, d, Axis([8, 11, 10], 'e')])
 
+    def test_getitem_axis_object(self):
+        arr = ndtest((2, 3))
+        a, b = arr.axes
+
+        assert_array_equal(arr[a], arr)
+        assert_array_equal(arr[b], arr)
+
+        b2 = Axis('b=b0,b2')
+
+        assert_array_equal(arr[b2], from_string("""a\\b  b0  b2
+                                                     a0   0   2
+                                                     a1   3   5"""))
+
     def test_positional_indexer_getitem(self):
         raw = self.array
         la = self.larray

From c1d76364001e186f9a4b4327e8d730a8226938d1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 13:16:46 +0200
Subject: [PATCH 603/899] remove new features section

---
 doc/source/changes/version_0_23.rst.inc | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index c82c17876..7cf01616b 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -1,13 +1,4 @@
-New features
-------------
-
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
-
-* added another feature.
-
-.. _misc:
-
-Miscellaneous improvements
+Miscellaneous improvements
 --------------------------
 
 * changed display of arrays (closes :issue:`243`):

From b4dd75b7406b0b18e381ce487c562dd1d29e0be4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 13:20:19 +0200
Subject: [PATCH 604/899] prepare for release 0.23

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/changes.rst       | 8 ++++++++
 doc/source/conf.py           | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 5 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index dd8345803..71ff577c7 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.22
+  version: 0.23
 
 source:
-  git_tag: 0.22
+  git_tag: 0.23
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index a52993837..6689cb69c 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.23
+============
+
+Released on 2017-05-29.
+
+.. include:: ./changes/version_0_23.rst.inc
+
+
 Version 0.22
 ============
 
diff --git a/doc/source/conf.py b/doc/source/conf.py
index ea3ad51b8..3aaa5de82 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -76,9 +76,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.22'
+version = '0.23'
 # The full version, including alpha/beta/rc tags.
-release = '0.22'
+release = '0.23'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
diff --git a/larray/__init__.py b/larray/__init__.py
index 0b98daded..103b45ae8 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.22"
\ No newline at end of file
+__version__ = "0.23"
diff --git a/setup.py b/setup.py
index f19f0a09f..9bdcf2474 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.22'
+VERSION = '0.23'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 0ea3bb12fe7b4dcb8a04bd885cad0f482218d706 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 29 May 2017 14:49:28 +0200
Subject: [PATCH 605/899] added aslarray to __all__

---
 larray/core/array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index f8f2c2501..dc4633ee8 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -4,7 +4,7 @@
 __all__ = [
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
     'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal',
+    'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
     'ptp', 'var', 'std', 'median', 'percentile', 'stack', 'nan'
 ]

From 041078197f010f1239f5113d7b41da22aa97660b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 30 May 2017 10:45:17 +0200
Subject: [PATCH 606/899] \ do not need to be doubled in the changelog

---
 doc/source/changes.rst                  |  2 +-
 doc/source/changes/version_0_22.rst.inc | 16 ++++++++--------
 doc/source/changes/version_0_23.rst.inc |  4 ++--
 3 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 6689cb69c..5e5a850b6 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.23
 ============
 
-Released on 2017-05-29.
+Released on 2017-05-30.
 
 .. include:: ./changes/version_0_23.rst.inc
 
diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index c5ecc2494..46325017a 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -44,17 +44,17 @@
 
     >>> arr = ndtest((2, 2))
     >>> arr
-    a\\b | b0 | b1
+    a\b | b0 | b1
      a0 |  0 |  1
      a1 |  2 |  3
     >>> arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
-    a\\b | b1 | b2 | b0
+    a\b | b1 | b2 | b0
      a0 |  1 | -1 |  0
      a1 |  3 | -1 |  2
     >>> a = Axis('a', ['a1', 'a2', 'a0'])
     >>> b = Axis('b', ['b2', 'b1', 'b0'])
     >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
-    a\\b | b2 | b1 | b0
+    a\b | b2 | b1 | b0
      a1 | -1 |  3 |  2
      a2 | -1 | -1 | -1
      a0 | -1 |  1 |  0
@@ -64,17 +64,17 @@
 
     >>> arr2 = ndtest((3, 3))
     >>> arr2
-    a\\b | b0 | b1 | b2
+    a\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
      a2 |  6 |  7 |  8
     >>> arr.reindex(arr2.axes, fill_value=0)
-    a\\b | b0 | b1 | b2
+    a\b | b0 | b1 | b2
      a0 |  0 |  1 |  0
      a1 |  2 |  3 |  0
      a2 |  0 |  0 |  0
     >>> arr.reindex(arr2.axes, fill_value=0) + arr2
-    a\\b | b0 | b1 | b2
+    a\b | b0 | b1 | b2
      a0 |  0 |  2 |  2
      a1 |  5 |  7 |  5
      a2 |  6 |  7 |  8
@@ -181,7 +181,7 @@ Miscellaneous improvements
   In the case the axis has already been defined in a variable, this gives:
 
     >>> stack({'M': males, 'F': females}, sex)
-    nat\\sex |   M |   F
+    nat\sex |   M |   F
          BE | 1.0 | 0.0
          FO | 1.0 | 0.0
 
@@ -197,7 +197,7 @@ Miscellaneous improvements
   cannot spot it for you either:
 
     >>> stack([females, males), sex)
-    nat\\sex |   M |   F
+    nat\sex |   M |   F
          BE | 0.0 | 1.0
          FO | 0.0 | 1.0
 
diff --git a/doc/source/changes/version_0_23.rst.inc b/doc/source/changes/version_0_23.rst.inc
index 7cf01616b..65c8eb3be 100644
--- a/doc/source/changes/version_0_23.rst.inc
+++ b/doc/source/changes/version_0_23.rst.inc
@@ -4,14 +4,14 @@
 * changed display of arrays (closes :issue:`243`):
 
     >>> ndtest((2, 3))
-    a\\b  b0  b1  b2
+    a\b  b0  b1  b2
      a0   0   1   2
      a1   3   4   5
 
   instead of
 
     >>> ndtest((2, 3))
-    a\\b | b0 | b1 | b2
+    a\b | b0 | b1 | b2
      a0 |  0 |  1 |  2
      a1 |  3 |  4 |  5
 

From 6e7119ce8088234a215680dd9bd1ba6b83caf5cd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 31 May 2017 09:24:16 +0200
Subject: [PATCH 607/899] fix #285 : prefer import from top package larray
 instead of larray.(...)

---
 larray/tests/test_array.py   | 5 ++---
 larray/tests/test_ipfp.py    | 2 +-
 larray/tests/test_session.py | 2 +-
 3 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index ef9210c49..54fb28b32 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -14,10 +14,9 @@
 
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
-                    clip, exp, where, x, mean, isnan, round, from_lists, from_string)
+                    clip, exp, where, x, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
+                    from_lists, from_string, open_excel, df_aslarray)
 from larray.core.axis import _to_ticks, _to_key
-from larray.io.array import df_aslarray, read_hdf, read_csv, read_eurostat, read_excel
-from larray.io.excel import open_excel
 
 
 class TestValueStrings(TestCase):
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index af3f5bb6f..d8cdaeaad 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -4,8 +4,8 @@
 
 import pytest
 
-from larray import Axis, LArray, ndrange, ipfp
 from larray.tests.common import assert_array_equal
+from larray import Axis, LArray, ndrange, ipfp
 
 
 class TestIPFP(TestCase):
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index b61368ca9..4f61a2c76 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -5,8 +5,8 @@
 import numpy as np
 import pytest
 
-from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.tests.common import assert_array_nan_equal, abspath
+from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
 from larray.util.misc import pickle
 
 try:

From 00176d1d565a8fecdb0f0baf5ffdda7e5703ef99 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 31 May 2017 11:42:37 +0200
Subject: [PATCH 608/899] added EXAMPLE_FILES_DIR to larray's namespace

---
 larray/__init__.py | 2 +-
 larray/example.py  | 8 +++++---
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/larray/__init__.py b/larray/__init__.py
index 103b45ae8..ae87fbf1e 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -3,7 +3,7 @@
 from larray.core import *
 from larray.io import *
 from larray.util import *
-from larray.example import load_example_data
+from larray.example import *
 from larray.extra import *
 from larray.viewer import *
 
diff --git a/larray/example.py b/larray/example.py
index d2fc0d225..fc624ed56 100644
--- a/larray/example.py
+++ b/larray/example.py
@@ -1,6 +1,8 @@
 import os
 import larray as la
 
+__all__ = ['EXAMPLE_FILES_DIR', 'load_example_data']
+
 EXAMPLE_FILES_DIR = os.path.dirname(__file__) + '/tests/data/'
 AVAILABLE_EXAMPLE_DATA = {
     'demography' : EXAMPLE_FILES_DIR + 'data.h5'
@@ -13,7 +15,8 @@ def load_example_data(name):
     ----------
     example_data : str
         Example data to load. Available example datasets are:
-        -{}
+        
+        - demography
 
     Returns
     -------
@@ -37,8 +40,7 @@ def load_example_data(name):
      age [121]: 0 1 2 ... 118 119 120
      sex [2]: 'M' 'F'
      nat [2]: 'BE' 'FO'
-    """.format('\n- '.join(AVAILABLE_EXAMPLE_DATA.keys()))
-
+    """
     if name is None:
         name = 'demography'
     if not isinstance(name, str):

From 8ad3d53662d3d3b025f3760ba505ae2e688bfb9b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 30 May 2017 13:23:45 +0200
Subject: [PATCH 609/899] updated tutorial

---
 doc/source/notebooks/LArray_intro.ipynb | 3082 +++++++++++------------
 1 file changed, 1539 insertions(+), 1543 deletions(-)

diff --git a/doc/source/notebooks/LArray_intro.ipynb b/doc/source/notebooks/LArray_intro.ipynb
index dac12f21e..22940b47c 100644
--- a/doc/source/notebooks/LArray_intro.ipynb
+++ b/doc/source/notebooks/LArray_intro.ipynb
@@ -21,24 +21,26 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "import larray as la"
+    "from larray import *"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "nbsphinx": "hidden"
    },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
-    "import numpy as np"
+    "import numpy as np\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')"
    ]
   },
   {
@@ -84,10 +86,10 @@
     {
      "data": {
       "text/plain": [
-       "(Axis('age', 3),\n",
-       " Axis('sex', ['M', 'F']),\n",
-       " Axis('time', [2007, 2008, 2009]),\n",
-       " Axis('other', ['A01', 'A02', 'A03', 'B01', 'B02', 'B03', 'C01', 'C02', 'C03']))"
+       "(Axis(3, 'age'),\n",
+       " Axis(['M', 'F'], 'sex'),\n",
+       " Axis([2007, 2008, 2009], 'time'),\n",
+       " Axis(['A01', 'A02', 'A03', 'B01', 'B02', 'B03', 'C01', 'C02', 'C03'], 'other'))"
       ]
      },
      "execution_count": 4,
@@ -97,13 +99,13 @@
    ],
    "source": [
     "# create a wildcard axis \n",
-    "age = la.Axis('age', 3)\n",
-    "# labels given as a string (labels are separated with commas)\n",
-    "sex = la.Axis('sex', 'M,F')\n",
+    "age = Axis(3, 'age')\n",
     "# labels given as a list \n",
-    "time = la.Axis('time', [2007, 2008, 2009])\n",
+    "time = Axis([2007, 2008, 2009], 'time')\n",
+    "# create an axis using one string\n",
+    "sex = Axis('sex=M,F')\n",
     "# labels generated using a special syntax  \n",
-    "other = la.Axis('other', 'A01..C03')\n",
+    "other = Axis('other=A01..C03')\n",
     "\n",
     "age, sex, time, other"
    ]
@@ -147,25 +149,25 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex | time\\other | A01 | A02 | A03 | B01 | B02 | B03 | C01 | C02 | C03\n",
-       "   0 |   M |       2007 |  53 |   3 |  76 |  69 |  10 |  51 |  45 |  32 |  79\n",
-       "   0 |   M |       2008 |  88 |  72 |  89 |  31 |  82 |  91 |  59 |  14 |  69\n",
-       "   0 |   M |       2009 |   1 |  82 |  71 |  96 |  19 |  70 |  88 |  11 |  84\n",
-       "   0 |   F |       2007 |  84 |  16 |   4 |  95 |  37 |  74 |  17 |   6 |  26\n",
-       "   0 |   F |       2008 |   8 |  27 |  19 |  38 |  91 |  45 |  19 |  93 |  50\n",
-       "   0 |   F |       2009 |  33 |  73 |  65 |  34 |  91 |  54 |  82 |  64 |  47\n",
-       "   1 |   M |       2007 |   3 |  81 |  26 |   3 |  38 |  97 |   8 |  78 |  26\n",
-       "   1 |   M |       2008 |  21 |  40 |  43 |  41 |  91 |   6 |  75 |  75 |  53\n",
-       "   1 |   M |       2009 |  83 |  85 |   7 |  61 |  27 |  63 |  70 |  42 |   5\n",
-       "   1 |   F |       2007 |  67 |  37 |  90 |  39 |  51 |  78 |  50 |  76 |  16\n",
-       "   1 |   F |       2008 |  53 |  96 |  94 |   8 |  12 |  47 |  12 |   7 |  49\n",
-       "   1 |   F |       2009 |  31 |  32 |  81 |  14 |  96 |  68 |  37 |  36 |  48\n",
-       "   2 |   M |       2007 |  60 |  19 |  42 |  24 |  54 |  65 |  40 |  91 |  59\n",
-       "   2 |   M |       2008 |  89 |  76 |   1 |   6 |  12 |  98 |  78 |  36 |  22\n",
-       "   2 |   M |       2009 |  18 |  18 |  26 |  89 |  26 |  37 |  38 |   1 |  39\n",
-       "   2 |   F |       2007 |  95 |  52 |  18 |  13 |  95 |  18 |  31 |   3 |  19\n",
-       "   2 |   F |       2008 |  57 |  90 |  82 |   0 |  15 |  32 |  79 |  90 |  71\n",
-       "   2 |   F |       2009 |  58 |   4 |  86 |  28 |  52 |  74 |  60 |  88 |  99"
+       "age*  sex  time\\other  A01  A02  A03  B01  B02  B03  C01  C02  C03\n",
+       "   0    M        2007   43    4   66   33   48   81    9    5   38\n",
+       "   0    M        2008   51    3   23   77   54   43   40   22    7\n",
+       "   0    M        2009   40   61   38   47   47   39   51   30   48\n",
+       "   0    F        2007   35    3   71   72   11   30    1   45   33\n",
+       "   0    F        2008    8   24   74    0   35   89   75   41   89\n",
+       "   0    F        2009    3   87   44   11   65   85    1   22   18\n",
+       "   1    M        2007   23   84   57    2    0    5   58   84   26\n",
+       "   1    M        2008   84   53   80   26   77   33   53   18   37\n",
+       "   1    M        2009   43   70   42   30   16   71   37    6   25\n",
+       "   1    F        2007   26   98   30   39   94   48   71   15   38\n",
+       "   1    F        2008    7   61   59   15   72   58   15   82   21\n",
+       "   1    F        2009   29   70    5   42   79   87   53    7   41\n",
+       "   2    M        2007   59   85   71   86   56   57   66    6   89\n",
+       "   2    M        2008   10   20   82   18   47   61   70   84    8\n",
+       "   2    M        2009   24   32   78    8   92   92   41   40   24\n",
+       "   2    F        2007   16   10   49   61   22   77   73   29   42\n",
+       "   2    F        2008   39   45   16   87   27   38   35   98   74\n",
+       "   2    F        2009   71   18    8   64   12   36   34   90   80"
       ]
      },
      "execution_count": 5,
@@ -181,7 +183,7 @@
     "# title (optional)\n",
     "title = 'random data'\n",
     "\n",
-    "arr = la.LArray(data, axes, title)\n",
+    "arr = LArray(data, axes, title)\n",
     "arr"
    ]
   },
@@ -225,13 +227,13 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008 | 2009\n",
-       "   0 |        M |   -1 |    0 |    1\n",
-       "   0 |        F |    2 |    3 |    4\n",
-       "   1 |        M |    5 |    6 |    7\n",
-       "   1 |        F |    8 |    9 |   10\n",
-       "   2 |        M |   11 |   12 |   13\n",
-       "   2 |        F |   14 |   15 |   16"
+       "age  sex\\time  2007  2008  2009\n",
+       "  0         M    -1     0     1\n",
+       "  0         F     2     3     4\n",
+       "  1         M     5     6     7\n",
+       "  1         F     8     9    10\n",
+       "  2         M    11    12    13\n",
+       "  2         F    14    15    16"
       ]
      },
      "execution_count": 6,
@@ -241,7 +243,7 @@
    ],
    "source": [
     "# start defines the starting value of data\n",
-    "la.ndrange([age, 'sex=M,F', ('time', '2007,2008,2009')], start=-1)"
+    "ndrange(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)"
    ]
   },
   {
@@ -254,10 +256,10 @@
     {
      "data": {
       "text/plain": [
-       "a\\b | b2 | b3 | b4\n",
-       " a2 | -1 |  0 |  1\n",
-       " a3 |  2 |  3 |  4\n",
-       " a4 |  5 |  6 |  7"
+       "a\\b  b2  b3  b4\n",
+       " a2  -1   0   1\n",
+       " a3   2   3   4\n",
+       " a4   5   6   7"
       ]
      },
      "execution_count": 7,
@@ -268,7 +270,7 @@
    "source": [
     "# start defines the starting value of data\n",
     "# label_start defines the starting index of labels\n",
-    "la.ndtest((3, 3), start=-1, label_start=2)"
+    "ndtest((3, 3), start=-1, label_start=2)"
    ]
   },
   {
@@ -281,13 +283,13 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time |                    2007 |                    2008 |                    2009\n",
-       "   0 |        M |  2.439987165725474e-152 | 2.3146174050789592e-152 |  9.311152243558189e+242\n",
-       "   0 |        F |  1.175673664932327e+214 |  1.414807375125991e+161 |  8.026288117339919e+165\n",
-       "   1 |        M |  8.422441897317246e+252 |  7.492295173108775e+247 |  2.875046757826351e+161\n",
-       "   1 |        F |  7.266079505816696e+223 |  6.901354338413896e+212 | 1.9711445101825257e+161\n",
-       "   2 |        M |   8.30445707694498e-114 | 1.0501692936319703e-153 |   8.274643196359165e-72\n",
-       "   2 |        F | 4.6475652909549244e+151 |  3.033806047441635e-110 |             1.2697e-320"
+       "age  sex\\time                     2007                     2008                    2009\n",
+       "  0         M   2.439987165725474e-152  2.3146174050789592e-152  9.311152243558189e+242\n",
+       "  0         F   1.175673664932327e+214   1.414807375125991e+161  8.026288117339919e+165\n",
+       "  1         M   8.422441897317246e+252   7.492295173108775e+247  2.875046757826351e+161\n",
+       "  1         F   7.266079505816696e+223   6.901354338413896e+212  5.944007193326606e+175\n",
+       "  2         M    8.968625263359706e-96   2.875046278102646e+161  6.805616589504441e+212\n",
+       "  2         F  2.8751819670889737e+161  2.6462421788901364e-260    8.8289367109041e+199"
       ]
      },
      "execution_count": 8,
@@ -299,7 +301,7 @@
     "# empty generates uninitialised array with correct axes (much faster but use with care!).\n",
     "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there. \n",
     "# Use it only if performance matters and make sure all data will be overridden. \n",
-    "la.empty([age, 'sex=M,F', ('time', '2007,2008,2009')])"
+    "empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])"
    ]
   },
   {
@@ -312,13 +314,13 @@
     {
      "data": {
       "text/plain": [
-       "{0}* | {1}\\{2} | 2007 | 2008 | 2009\n",
-       "   0 |       M |  0.0 |  0.0 |  0.0\n",
-       "   0 |       F |  0.0 |  0.0 |  0.0\n",
-       "   1 |       M |  0.0 |  0.0 |  0.0\n",
-       "   1 |       F |  0.0 |  0.0 |  0.0\n",
-       "   2 |       M |  0.0 |  0.0 |  0.0\n",
-       "   2 |       F |  0.0 |  0.0 |  0.0"
+       "{0}  {1}\\{2}  2007  2008  2009\n",
+       "  0        M   0.0   0.0   0.0\n",
+       "  0        F   0.0   0.0   0.0\n",
+       "  1        M   0.0   0.0   0.0\n",
+       "  1        F   0.0   0.0   0.0\n",
+       "  2        M   0.0   0.0   0.0\n",
+       "  2        F   0.0   0.0   0.0"
       ]
      },
      "execution_count": 9,
@@ -328,7 +330,7 @@
    ],
    "source": [
     "# example with anonymous axes\n",
-    "la.zeros([3, 'M,F', (None, '2007,2008,2009')])"
+    "zeros(['0..2', 'M,F', '2007..2009'])"
    ]
   },
   {
@@ -341,13 +343,13 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008 | 2009\n",
-       "   0 |        M |    1 |    1 |    1\n",
-       "   0 |        F |    1 |    1 |    1\n",
-       "   1 |        M |    1 |    1 |    1\n",
-       "   1 |        F |    1 |    1 |    1\n",
-       "   2 |        M |    1 |    1 |    1\n",
-       "   2 |        F |    1 |    1 |    1"
+       "age  sex\\time  2007  2008  2009\n",
+       "  0         M     1     1     1\n",
+       "  0         F     1     1     1\n",
+       "  1         M     1     1     1\n",
+       "  1         F     1     1     1\n",
+       "  2         M     1     1     1\n",
+       "  2         F     1     1     1"
       ]
      },
      "execution_count": 10,
@@ -357,7 +359,7 @@
    ],
    "source": [
     "# dtype=int forces to store int data instead of default float\n",
-    "la.ones([age, 'sex=M,F', ('time', '2007,2008,2009')], dtype=int)"
+    "ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)"
    ]
   },
   {
@@ -370,13 +372,13 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008 | 2009\n",
-       "   0 |        M | 1.23 | 1.23 | 1.23\n",
-       "   0 |        F | 1.23 | 1.23 | 1.23\n",
-       "   1 |        M | 1.23 | 1.23 | 1.23\n",
-       "   1 |        F | 1.23 | 1.23 | 1.23\n",
-       "   2 |        M | 1.23 | 1.23 | 1.23\n",
-       "   2 |        F | 1.23 | 1.23 | 1.23"
+       "age  sex\\time  2007  2008  2009\n",
+       "  0         M  1.23  1.23  1.23\n",
+       "  0         F  1.23  1.23  1.23\n",
+       "  1         M  1.23  1.23  1.23\n",
+       "  1         F  1.23  1.23  1.23\n",
+       "  2         M  1.23  1.23  1.23\n",
+       "  2         F  1.23  1.23  1.23"
       ]
      },
      "execution_count": 11,
@@ -385,7 +387,7 @@
     }
    ],
    "source": [
-    "la.full([age, 'sex=M,F', ('time', '2007,2008,2009')], 1.23)"
+    "full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)"
    ]
   },
   {
@@ -406,25 +408,25 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex | time\\other | A01 | A02 | A03 | B01 | B02 | B03 | C01 | C02 | C03\n",
-       "   0 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   0 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   0 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   0 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   0 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   0 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   1 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   M |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   M |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   M |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   F |       2007 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   F |       2008 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1\n",
-       "   2 |   F |       2009 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1 |   1"
+       "age*  sex  time\\other  A01  A02  A03  B01  B02  B03  C01  C02  C03\n",
+       "   0    M        2007    1    1    1    1    1    1    1    1    1\n",
+       "   0    M        2008    1    1    1    1    1    1    1    1    1\n",
+       "   0    M        2009    1    1    1    1    1    1    1    1    1\n",
+       "   0    F        2007    1    1    1    1    1    1    1    1    1\n",
+       "   0    F        2008    1    1    1    1    1    1    1    1    1\n",
+       "   0    F        2009    1    1    1    1    1    1    1    1    1\n",
+       "   1    M        2007    1    1    1    1    1    1    1    1    1\n",
+       "   1    M        2008    1    1    1    1    1    1    1    1    1\n",
+       "   1    M        2009    1    1    1    1    1    1    1    1    1\n",
+       "   1    F        2007    1    1    1    1    1    1    1    1    1\n",
+       "   1    F        2008    1    1    1    1    1    1    1    1    1\n",
+       "   1    F        2009    1    1    1    1    1    1    1    1    1\n",
+       "   2    M        2007    1    1    1    1    1    1    1    1    1\n",
+       "   2    M        2008    1    1    1    1    1    1    1    1    1\n",
+       "   2    M        2009    1    1    1    1    1    1    1    1    1\n",
+       "   2    F        2007    1    1    1    1    1    1    1    1    1\n",
+       "   2    F        2008    1    1    1    1    1    1    1    1    1\n",
+       "   2    F        2009    1    1    1    1    1    1    1    1    1"
       ]
      },
      "execution_count": 12,
@@ -433,7 +435,7 @@
     }
    ],
    "source": [
-    "la.ones_like(arr)"
+    "ones_like(arr)"
    ]
   },
   {
@@ -461,8 +463,8 @@
     {
      "data": {
       "text/plain": [
-       "sex |   M |   F\n",
-       "    | 1.0 | 1.5"
+       "sex    M    F\n",
+       "     1.0  1.5"
       ]
      },
      "execution_count": 13,
@@ -472,7 +474,7 @@
    ],
    "source": [
     "# With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... \n",
-    "la.create_sequential(sex, initial=1.0, inc=0.5)"
+    "create_sequential('sex=M,F', initial=1.0, inc=0.5)"
    ]
   },
   {
@@ -485,8 +487,8 @@
     {
      "data": {
       "text/plain": [
-       "age* |   0 |   1 |   2\n",
-       "     | 1.0 | 2.0 | 4.0"
+       "age    0    1    2\n",
+       "     1.0  2.0  4.0"
       ]
      },
      "execution_count": 14,
@@ -496,7 +498,7 @@
    ],
    "source": [
     "# With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... \n",
-    "la.create_sequential(age, initial=1.0, mult=2.0)"
+    "create_sequential('age=0..2', initial=1.0, mult=2.0) "
    ]
   },
   {
@@ -509,8 +511,8 @@
     {
      "data": {
       "text/plain": [
-       "time | 2007 | 2008 | 2009\n",
-       "     |  2.0 |  4.0 | 16.0"
+       "time  2007  2008  2009\n",
+       "       2.0   4.0  16.0"
       ]
      },
      "execution_count": 15,
@@ -520,7 +522,7 @@
    ],
    "source": [
     "# Using your own function\n",
-    "la.create_sequential(time, initial=2.0, func=lambda value: value**2)"
+    "create_sequential('time=2007..2009', initial=2.0, func=lambda value: value**2)"
    ]
   },
   {
@@ -540,9 +542,9 @@
     {
      "data": {
       "text/plain": [
-       "sex\\time | 2007 | 2008 | 2009\n",
-       "       M |  0.0 | 1.05 |  2.1\n",
-       "       F |  0.0 | 1.15 |  2.3"
+       "sex\\time  2007  2008  2009\n",
+       "       M   0.0  1.05   2.1\n",
+       "       F   0.0  1.15   2.3"
       ]
      },
      "execution_count": 16,
@@ -551,8 +553,8 @@
     }
    ],
    "source": [
-    "birth = la.LArray([1.05, 1.15], sex)\n",
-    "cumulate_newborns = la.create_sequential(time, initial=0.0, inc=birth)\n",
+    "birth = LArray([1.05, 1.15], 'sex=M,F')\n",
+    "cumulate_newborns = create_sequential('time=2007..2009', initial=0.0, inc=birth)\n",
     "cumulate_newborns"
    ]
   },
@@ -566,9 +568,9 @@
     {
      "data": {
       "text/plain": [
-       "sex\\age |    80 |                81 |                82 |                83\n",
-       "      M |  90.0 | 86.39999999999999 | 82.94399999999999 | 79.62623999999998\n",
-       "      F | 100.0 |              98.0 | 96.03999999999999 | 94.11919999999999"
+       "sex\\age     80                 81                 82                 83\n",
+       "      M   90.0  86.39999999999999  82.94399999999999  79.62623999999998\n",
+       "      F  100.0               98.0  96.03999999999999  94.11919999999999"
       ]
      },
      "execution_count": 17,
@@ -577,10 +579,9 @@
     }
    ],
    "source": [
-    "pop_age = la.Axis('age', '80..83')\n",
-    "start_pop = la.LArray([90, 100], sex) \n",
-    "survival = la.LArray([0.96, 0.98], sex)\n",
-    "pop = la.create_sequential(pop_age, initial=start_pop, mult=survival)\n",
+    "initial = LArray([90, 100], 'sex=M,F') \n",
+    "survival = LArray([0.96, 0.98], 'sex=M,F')\n",
+    "pop = create_sequential('age=80..83', initial=initial, mult=survival)\n",
     "pop"
    ]
   },
@@ -598,6 +599,17 @@
     "### Load from files"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "example_dir = EXAMPLE_FILES_DIR"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -607,7 +619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -621,7 +633,7 @@
        " hh_type [7]: 'SING' \"'MAR0\" 'MAR+' ... 'UNM+' 'H1P' 'OTHR'"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -629,7 +641,7 @@
    "source": [
     "# read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)\n",
     "# read_eurostat is a shortcut to read EUROSTAT TSV files  \n",
-    "household = la.read_csv('hh.csv')\n",
+    "household = read_csv(example_dir + 'hh.csv')\n",
     "household.info"
    ]
   },
@@ -642,7 +654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -659,14 +671,14 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# loads array from the first sheet if no sheetname is given \n",
-    "pop = la.read_excel('data.xlsx', 'pop')\n",
+    "pop = read_excel(example_dir + 'data.xlsx', 'pop')\n",
     "pop.info"
    ]
   },
@@ -679,7 +691,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -695,13 +707,13 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "mortality = la.read_hdf('data.h5','qx')\n",
+    "mortality = read_hdf(example_dir + 'data.h5','qx')\n",
     "mortality.info"
    ]
   },
@@ -721,7 +733,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {
     "collapsed": true
    },
@@ -739,7 +751,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -747,7 +759,7 @@
    "source": [
     "# if the file does not already exist, it is created with a single sheet, \n",
     "# otherwise a new sheet is added to it\n",
-    "household.to_excel('data2.xlsx')\n",
+    "household.to_excel('data2.xlsx', overwrite_file=True)\n",
     "# it is usually better to specify the sheet explicitly (by name or position) though\n",
     "household.to_excel('data2.xlsx', 'hh')"
    ]
@@ -761,7 +773,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -780,7 +792,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -788,26 +800,24 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008 | 2009\n",
-       "   0 |        M |    0 |    1 |    2\n",
-       "   0 |        F |    3 |    4 |    5\n",
-       "   1 |        M |    6 |    7 |    8\n",
-       "   1 |        F |    9 |   10 |   11\n",
-       "   2 |        M |   12 |   13 |   14\n",
-       "   2 |        F |   15 |   16 |   17"
+       "age  sex\\time  2007  2008  2009\n",
+       "  0         M     0     1     2\n",
+       "  0         F     3     4     5\n",
+       "  1         M     6     7     8\n",
+       "  1         F     9    10    11\n",
+       "  2         M    12    13    14\n",
+       "  2         F    15    16    17"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# create a 3 x 2 x 3 array \n",
-    "age = la.Axis('age', 3)\n",
-    "sex = la.Axis('sex', 'M,F')\n",
-    "time = la.Axis('time', [2007, 2008, 2009])\n",
-    "arr = la.ndrange([age, sex, time])\n",
+    "age, sex, time = Axis('age=0..2'), Axis('sex=M,F'), Axis('time=2007..2009')\n",
+    "arr = ndrange([age, sex, time])\n",
     "arr"
    ]
   },
@@ -827,13 +837,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "wb = la.open_excel('test.xlsx')"
+    "wb = open_excel('test.xlsx', overwrite_file=True)"
    ]
   },
   {
@@ -845,7 +855,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -867,7 +877,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {
     "collapsed": true
    },
@@ -888,7 +898,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {
     "collapsed": true
    },
@@ -906,7 +916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {
     "collapsed": true
    },
@@ -931,13 +941,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "wb = la.open_excel('test.xlsx')"
+    "wb = open_excel('test.xlsx')"
    ]
   },
   {
@@ -949,7 +959,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -957,16 +967,16 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008 | 2009\n",
-       "   0 |        M |    0 |    1 |    2\n",
-       "   0 |        F |    3 |    4 |    5\n",
-       "   1 |        M |    6 |    7 |    8\n",
-       "   1 |        F |    9 |   10 |   11\n",
-       "   2 |        M |   12 |   13 |   14\n",
-       "   2 |        F |   15 |   16 |   17"
+       "age  sex\\time  2007  2008  2009\n",
+       "  0         M     0     1     2\n",
+       "  0         F     3     4     5\n",
+       "  1         M     6     7     8\n",
+       "  1         F     9    10    11\n",
+       "  2         M    12    13    14\n",
+       "  2         F    15    16    17"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -989,7 +999,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "metadata": {
     "collapsed": false
    },
@@ -997,14 +1007,14 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\time | 2007 | 2008\n",
-       "   0 |        M |    0 |    1\n",
-       "   0 |        F |    3 |    4\n",
-       "   1 |        M |    6 |    7\n",
-       "   1 |        F |    9 |   10"
+       "age  sex\\time  2007  2008\n",
+       "  0         M     0     1\n",
+       "  0         F     3     4\n",
+       "  1         M     6     7\n",
+       "  1         F     9    10"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1035,7 +1045,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "collapsed": false
    },
@@ -1043,14 +1053,14 @@
     {
      "data": {
       "text/plain": [
-       "{0}*\\{1}* |   0 |    1\n",
-       "        0 | 0.0 |  1.0\n",
-       "        1 | 3.0 |  4.0\n",
-       "        2 | 6.0 |  7.0\n",
-       "        3 | 9.0 | 10.0"
+       "{0}*\\{1}*    0     1\n",
+       "        0  0.0   1.0\n",
+       "        1  3.0   4.0\n",
+       "        2  6.0   7.0\n",
+       "        3  9.0  10.0"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1069,7 +1079,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -1077,10 +1087,10 @@
     {
      "data": {
       "text/plain": [
-       "larray.excel.Range"
+       "larray.io.excel.Range"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1098,7 +1108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 36,
    "metadata": {
     "collapsed": false
    },
@@ -1106,11 +1116,11 @@
     {
      "data": {
       "text/plain": [
-       "{0}* |    0 |    1\n",
-       "     | 18.0 | 22.0"
+       "{0}*     0     1\n",
+       "      18.0  22.0"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1128,7 +1138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 37,
    "metadata": {
     "collapsed": true
    },
@@ -1148,7 +1158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 38,
    "metadata": {
     "collapsed": true
    },
@@ -1166,7 +1176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 39,
    "metadata": {
     "collapsed": false,
     "nbsphinx": "hidden"
@@ -1174,7 +1184,7 @@
    "outputs": [],
    "source": [
     "# load population array\n",
-    "pop = la.read_csv('pop.csv')"
+    "pop = load_example_data('demography').pop"
    ]
   },
   {
@@ -1186,7 +1196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 40,
    "metadata": {
     "collapsed": false
    },
@@ -1202,7 +1212,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1220,7 +1230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 41,
    "metadata": {
     "collapsed": false
    },
@@ -1238,7 +1248,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 42,
    "metadata": {
     "collapsed": false
    },
@@ -1249,7 +1259,7 @@
        "(26, 3, 121, 2, 2)"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1267,7 +1277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 43,
    "metadata": {
     "collapsed": false
    },
@@ -1278,7 +1288,7 @@
        "37752"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1296,7 +1306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 44,
    "metadata": {
     "collapsed": false
    },
@@ -1307,7 +1317,7 @@
        "302016"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1327,13 +1337,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 45,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "la.view(pop)"
+    "view(pop)"
    ]
   },
   {
@@ -1345,7 +1355,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 46,
    "metadata": {
     "collapsed": false
    },
@@ -1384,7 +1394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {
     "collapsed": false
    },
@@ -1395,7 +1405,7 @@
        "4813"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1414,7 +1424,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {
     "collapsed": false
    },
@@ -1422,17 +1432,17 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2011 | 5015 | 4860 | 4792\n",
-       "    2012 | 4722 | 5014 | 4818\n",
-       "    2013 | 4711 | 4727 | 5007\n",
-       "    2014 | 4788 | 4702 | 4730\n",
-       "    2015 | 4813 | 4767 | 4676\n",
-       "    2016 | 4814 | 4792 | 4740"
+       "time\\age    50    51    52\n",
+       "    2010  4869  4811  4699\n",
+       "    2011  5015  4860  4792\n",
+       "    2012  4722  5014  4818\n",
+       "    2013  4711  4727  5007\n",
+       "    2014  4788  4702  4730\n",
+       "    2015  4813  4767  4676\n",
+       "    2016  4814  4792  4740"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1445,7 +1455,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "metadata": {
     "collapsed": false
    },
@@ -1453,17 +1463,17 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2011 | 5015 | 4860 | 4792\n",
-       "    2012 | 4722 | 5014 | 4818\n",
-       "    2013 | 4711 | 4727 | 5007\n",
-       "    2014 | 4788 | 4702 | 4730\n",
-       "    2015 | 4813 | 4767 | 4676\n",
-       "    2016 | 4814 | 4792 | 4740"
+       "time\\age    50    51    52\n",
+       "    2010  4869  4811  4699\n",
+       "    2011  5015  4860  4792\n",
+       "    2012  4722  5014  4818\n",
+       "    2013  4711  4727  5007\n",
+       "    2014  4788  4702  4730\n",
+       "    2015  4813  4767  4676\n",
+       "    2016  4814  4792  4740"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1477,7 +1487,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "metadata": {
     "collapsed": false
    },
@@ -1485,14 +1495,14 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2012 | 4722 | 5014 | 4818\n",
-       "    2014 | 4788 | 4702 | 4730\n",
-       "    2016 | 4814 | 4792 | 4740"
+       "time\\age    50    51    52\n",
+       "    2010  4869  4811  4699\n",
+       "    2012  4722  5014  4818\n",
+       "    2014  4788  4702  4730\n",
+       "    2016  4814  4792  4740"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1505,7 +1515,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "metadata": {
     "collapsed": false
    },
@@ -1513,14 +1523,14 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2008 | 4731 | 4735 | 4724\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2013 | 4711 | 4727 | 5007\n",
-       "    2015 | 4813 | 4767 | 4676"
+       "time\\age    50    51    52\n",
+       "    2008  4731  4735  4724\n",
+       "    2010  4869  4811  4699\n",
+       "    2013  4711  4727  5007\n",
+       "    2015  4813  4767  4676"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1541,7 +1551,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1550,14 +1560,14 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2008 | 4731 | 4735 | 4724\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2013 | 4711 | 4727 | 5007\n",
-       "    2015 | 4813 | 4767 | 4676"
+       "time\\age    50    51    52\n",
+       "    2008  4731  4735  4724\n",
+       "    2010  4869  4811  4699\n",
+       "    2013  4711  4727  5007\n",
+       "    2015  4813  4767  4676"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1582,7 +1592,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 53,
    "metadata": {
     "collapsed": false,
     "raw_mimetype": "text/restructuredtext"
@@ -1598,10 +1608,8 @@
    ],
    "source": [
     "# let us now create an array with the same labels on several axes\n",
-    "age = la.Axis('age', range(80))\n",
-    "weight = la.Axis('weight', range(120))\n",
-    "size = la.Axis('size', range(200))\n",
-    "arr_ws = la.ndrange([age, weight, size])\n",
+    "age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')\n",
+    "arr_ws = ndrange([age, weight, size])\n",
     "\n",
     "# let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.\n",
     "# In this case the subset is ambiguous and this results in an error:\n",
@@ -1611,7 +1619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 54,
    "metadata": {
     "collapsed": false
    },
@@ -1619,21 +1627,21 @@
     {
      "data": {
       "text/plain": [
-       "age | weight\\size |    160 |    161 |    162 |    163 |    164 |    165\n",
-       " 10 |           0 | 240160 | 240161 | 240162 | 240163 | 240164 | 240165\n",
-       " 10 |           1 | 240360 | 240361 | 240362 | 240363 | 240364 | 240365\n",
-       " 10 |           2 | 240560 | 240561 | 240562 | 240563 | 240564 | 240565\n",
-       " 10 |           3 | 240760 | 240761 | 240762 | 240763 | 240764 | 240765\n",
-       " 10 |           4 | 240960 | 240961 | 240962 | 240963 | 240964 | 240965\n",
-       "... |         ... |    ... |    ... |    ... |    ... |    ... |    ...\n",
-       " 18 |          76 | 447360 | 447361 | 447362 | 447363 | 447364 | 447365\n",
-       " 18 |          77 | 447560 | 447561 | 447562 | 447563 | 447564 | 447565\n",
-       " 18 |          78 | 447760 | 447761 | 447762 | 447763 | 447764 | 447765\n",
-       " 18 |          79 | 447960 | 447961 | 447962 | 447963 | 447964 | 447965\n",
-       " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
+       "age  weight\\size     160     161     162     163     164     165\n",
+       " 10            0  243370  243371  243372  243373  243374  243375\n",
+       " 10            1  243571  243572  243573  243574  243575  243576\n",
+       " 10            2  243772  243773  243774  243775  243776  243777\n",
+       " 10            3  243973  243974  243975  243976  243977  243978\n",
+       " 10            4  244174  244175  244176  244177  244178  244179\n",
+       "...          ...     ...     ...     ...     ...     ...     ...\n",
+       " 18           76  453214  453215  453216  453217  453218  453219\n",
+       " 18           77  453415  453416  453417  453418  453419  453420\n",
+       " 18           78  453616  453617  453618  453619  453620  453621\n",
+       " 18           79  453817  453818  453819  453820  453821  453822\n",
+       " 18           80  454018  454019  454020  454021  454022  454023"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 54,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1664,7 +1672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 55,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -1673,28 +1681,26 @@
     {
      "data": {
       "text/plain": [
-       "age | weight\\size |    160 |    161 |    162 |    163 |    164 |    165\n",
-       " 10 |           0 | 240160 | 240161 | 240162 | 240163 | 240164 | 240165\n",
-       " 10 |           1 | 240360 | 240361 | 240362 | 240363 | 240364 | 240365\n",
-       " 10 |           2 | 240560 | 240561 | 240562 | 240563 | 240564 | 240565\n",
-       " 10 |           3 | 240760 | 240761 | 240762 | 240763 | 240764 | 240765\n",
-       " 10 |           4 | 240960 | 240961 | 240962 | 240963 | 240964 | 240965\n",
-       "... |         ... |    ... |    ... |    ... |    ... |    ... |    ...\n",
-       " 18 |          76 | 447360 | 447361 | 447362 | 447363 | 447364 | 447365\n",
-       " 18 |          77 | 447560 | 447561 | 447562 | 447563 | 447564 | 447565\n",
-       " 18 |          78 | 447760 | 447761 | 447762 | 447763 | 447764 | 447765\n",
-       " 18 |          79 | 447960 | 447961 | 447962 | 447963 | 447964 | 447965\n",
-       " 18 |          80 | 448160 | 448161 | 448162 | 448163 | 448164 | 448165"
+       "age  weight\\size     160     161     162     163     164     165\n",
+       " 10            0  243370  243371  243372  243373  243374  243375\n",
+       " 10            1  243571  243572  243573  243574  243575  243576\n",
+       " 10            2  243772  243773  243774  243775  243776  243777\n",
+       " 10            3  243973  243974  243975  243976  243977  243978\n",
+       " 10            4  244174  244175  244176  244177  244178  244179\n",
+       "...          ...     ...     ...     ...     ...     ...     ...\n",
+       " 18           76  453214  453215  453216  453217  453218  453219\n",
+       " 18           77  453415  453416  453417  453418  453419  453420\n",
+       " 18           78  453616  453617  453618  453619  453620  453621\n",
+       " 18           79  453817  453818  453819  453820  453821  453822\n",
+       " 18           80  454018  454019  454020  454021  454022  454023"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "from larray import x\n",
-    "\n",
     "# the previous example could have been also written as  \n",
     "arr_ws[x.age[10:18], x.weight[:80], x.size[160:165]]"
    ]
@@ -1726,7 +1732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 56,
    "metadata": {
     "collapsed": false
    },
@@ -1734,13 +1740,13 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    1991 | 3739 | 4138 | 4101\n",
-       "    1992 | 3373 | 3665 | 4088\n",
-       "    1993 | 3648 | 3335 | 3615"
+       "time\\age    50    51    52\n",
+       "    1991  3739  4138  4101\n",
+       "    1992  3373  3665  4088\n",
+       "    1993  3648  3335  3615"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1753,7 +1759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 57,
    "metadata": {
     "collapsed": false
    },
@@ -1761,13 +1767,13 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2014 | 4788 | 4702 | 4730\n",
-       "    2015 | 4813 | 4767 | 4676\n",
-       "    2016 | 4814 | 4792 | 4740"
+       "time\\age    50    51    52\n",
+       "    2014  4788  4702  4730\n",
+       "    2015  4813  4767  4676\n",
+       "    2016  4814  4792  4740"
       ]
      },
-     "execution_count": 56,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1779,7 +1785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 58,
    "metadata": {
     "collapsed": false
    },
@@ -1787,14 +1793,14 @@
     {
      "data": {
       "text/plain": [
-       "time\\age |   50 |   51 |   52\n",
-       "    2008 | 4731 | 4735 | 4724\n",
-       "    2010 | 4869 | 4811 | 4699\n",
-       "    2013 | 4711 | 4727 | 5007\n",
-       "    2015 | 4813 | 4767 | 4676"
+       "time\\age    50    51    52\n",
+       "    2008  4731  4735  4724\n",
+       "    2010  4869  4811  4699\n",
+       "    2013  4711  4727  5007\n",
+       "    2015  4813  4767  4676"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1817,7 +1823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 59,
    "metadata": {
     "collapsed": false
    },
@@ -1825,11 +1831,11 @@
     {
      "data": {
       "text/plain": [
-       "age |    0 |    1 |    2 |    3\n",
-       "    | 6020 | 5882 | 6023 | 5861"
+       "age     0     1     2     3\n",
+       "     6020  5882  6023  5861"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1841,7 +1847,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 60,
    "metadata": {
     "collapsed": false
    },
@@ -1849,11 +1855,11 @@
     {
      "data": {
       "text/plain": [
-       "age |    0 |    1 |    2\n",
-       "    | 6020 | 5882 | 6023"
+       "age     0     1     2\n",
+       "     6020  5882  6023"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1872,7 +1878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 61,
    "metadata": {
     "collapsed": false
    },
@@ -1880,28 +1886,28 @@
     {
      "data": {
       "text/plain": [
-       "   geo | age | sex\\nat |    BE |   FO\n",
-       "BruCap |   0 |       M |  6155 | 3104\n",
-       "BruCap |   0 |       F |  5900 | 2817\n",
-       "BruCap |   1 |       M |  6165 | 3068\n",
-       "BruCap |   1 |       F |  5916 | 2946\n",
-       "BruCap |   2 |       M |  6053 | 2918\n",
-       "BruCap |   2 |       F |  5736 | 2776\n",
-       "   Fla |   0 |       M | 29993 | 3717\n",
-       "   Fla |   0 |       F | 28483 | 3587\n",
-       "   Fla |   1 |       M | 31292 | 3716\n",
-       "   Fla |   1 |       F | 29721 | 3575\n",
-       "   Fla |   2 |       M | 31718 | 3597\n",
-       "   Fla |   2 |       F | 30353 | 3387\n",
-       "   Wal |   0 |       M | 17869 | 1472\n",
-       "   Wal |   0 |       F | 17242 | 1454\n",
-       "   Wal |   1 |       M | 18820 | 1432\n",
-       "   Wal |   1 |       F | 17604 | 1443\n",
-       "   Wal |   2 |       M | 19076 | 1444\n",
-       "   Wal |   2 |       F | 18189 | 1358"
+       "   geo  age  sex\\nat     BE    FO\n",
+       "BruCap    0        M   6155  3104\n",
+       "BruCap    0        F   5900  2817\n",
+       "BruCap    1        M   6165  3068\n",
+       "BruCap    1        F   5916  2946\n",
+       "BruCap    2        M   6053  2918\n",
+       "BruCap    2        F   5736  2776\n",
+       "   Fla    0        M  29993  3717\n",
+       "   Fla    0        F  28483  3587\n",
+       "   Fla    1        M  31292  3716\n",
+       "   Fla    1        F  29721  3575\n",
+       "   Fla    2        M  31718  3597\n",
+       "   Fla    2        F  30353  3387\n",
+       "   Wal    0        M  17869  1472\n",
+       "   Wal    0        F  17242  1454\n",
+       "   Wal    1        M  18820  1432\n",
+       "   Wal    1        F  17604  1443\n",
+       "   Wal    2        M  19076  1444\n",
+       "   Wal    2        F  18189  1358"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1937,7 +1943,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 62,
    "metadata": {
     "collapsed": false
    },
@@ -1945,36 +1951,36 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  8 |  0\n",
-       "102 |       F | 26 |  1\n",
-       "103 |       M |  2 |  1\n",
-       "103 |       F | 17 |  2\n",
-       "104 |       M |  2 |  1\n",
-       "104 |       F | 14 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  2 |  2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   8   0\n",
+       "102        F  26   1\n",
+       "103        M   2   1\n",
+       "103        F  17   2\n",
+       "104        M   2   1\n",
+       "104        F  14   0\n",
+       "105        M   0   0\n",
+       "105        F   2   2"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# let's take a smaller array\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
     "pop2 = pop\n",
     "pop2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 63,
    "metadata": {
     "collapsed": false
    },
@@ -1982,22 +1988,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  0 |  0\n",
-       "102 |       F |  0 |  0\n",
-       "103 |       M |  0 |  0\n",
-       "103 |       F |  0 |  0\n",
-       "104 |       M |  0 |  0\n",
-       "104 |       F |  0 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  0 |  0"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   0   0\n",
+       "102        F   0   0\n",
+       "103        M   0   0\n",
+       "103        F   0   0\n",
+       "104        M   0   0\n",
+       "104        F   0   0\n",
+       "105        M   0   0\n",
+       "105        F   0   0"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2029,7 +2035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 64,
    "metadata": {
     "collapsed": false
    },
@@ -2037,22 +2043,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  0 |  0\n",
-       "102 |       F |  0 |  0\n",
-       "103 |       M |  0 |  0\n",
-       "103 |       F |  0 |  0\n",
-       "104 |       M |  0 |  0\n",
-       "104 |       F |  0 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  0 |  0"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   0   0\n",
+       "102        F   0   0\n",
+       "103        M   0   0\n",
+       "103        F   0   0\n",
+       "104        M   0   0\n",
+       "104        F   0   0\n",
+       "105        M   0   0\n",
+       "105        F   0   0"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2064,7 +2070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 65,
    "metadata": {
     "collapsed": false
    },
@@ -2072,29 +2078,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  0 |  0\n",
-       "102 |       F |  0 |  0\n",
-       "103 |       M |  0 |  0\n",
-       "103 |       F |  0 |  0\n",
-       "104 |       M |  0 |  0\n",
-       "104 |       F |  0 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  0 |  0"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   0   0\n",
+       "102        F   0   0\n",
+       "103        M   0   0\n",
+       "103        F   0   0\n",
+       "104        M   0   0\n",
+       "104        F   0   0\n",
+       "105        M   0   0\n",
+       "105        F   0   0"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# the right way\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
     "\n",
     "pop2 = pop.copy()\n",
     "pop2[102:] = 0\n",
@@ -2103,7 +2109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 66,
    "metadata": {
     "collapsed": false
    },
@@ -2111,22 +2117,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  8 |  0\n",
-       "102 |       F | 26 |  1\n",
-       "103 |       M |  2 |  1\n",
-       "103 |       F | 17 |  2\n",
-       "104 |       M |  2 |  1\n",
-       "104 |       F | 14 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  2 |  2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   8   0\n",
+       "102        F  26   1\n",
+       "103        M   2   1\n",
+       "103        F  17   2\n",
+       "104        M   2   1\n",
+       "104        F  14   0\n",
+       "105        M   0   0\n",
+       "105        F   2   2"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2154,7 +2160,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 67,
    "metadata": {
     "collapsed": false
    },
@@ -2162,24 +2168,25 @@
     {
      "data": {
       "text/plain": [
-       "sex\\nat | BE | FO\n",
-       "      M |  1 | -1\n",
-       "      F |  2 | -2"
+       "sex\\nat  BE  FO\n",
+       "      M   1  -1\n",
+       "      F   2  -2"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "new_value = la.LArray([[1, -1], [2, -2]],[sex, nat])\n",
+    "sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')\n",
+    "new_value = LArray([[1, -1], [2, -2]],[sex, nat])\n",
     "new_value"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 68,
    "metadata": {
     "collapsed": false
    },
@@ -2187,22 +2194,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  1 | -1\n",
-       "102 |       F |  2 | -2\n",
-       "103 |       M |  1 | -1\n",
-       "103 |       F |  2 | -2\n",
-       "104 |       M |  1 | -1\n",
-       "104 |       F |  2 | -2\n",
-       "105 |       M |  1 | -1\n",
-       "105 |       F |  2 | -2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   1  -1\n",
+       "102        F   2  -2\n",
+       "103        M   1  -1\n",
+       "103        F   2  -2\n",
+       "104        M   1  -1\n",
+       "104        F   2  -2\n",
+       "105        M   1  -1\n",
+       "105        F   2  -2"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2228,7 +2235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 69,
    "metadata": {
     "collapsed": false
    },
@@ -2236,29 +2243,29 @@
     {
      "data": {
       "text/plain": [
-       "age* | sex\\nat |  BE |  FO\n",
-       "   0 |       M | 0.0 | 0.0\n",
-       "   0 |       F | 0.0 | 0.0\n",
-       "   1 |       M | 0.0 | 0.0\n",
-       "   1 |       F | 0.0 | 0.0\n",
-       "   2 |       M | 0.0 | 0.0\n",
-       "   2 |       F | 0.0 | 0.0"
+       "age  sex\\nat   BE   FO\n",
+       "  0        M  0.0  0.0\n",
+       "  0        F  0.0  0.0\n",
+       "  1        M  0.0  0.0\n",
+       "  1        F  0.0  0.0\n",
+       "  2        M  0.0  0.0\n",
+       "  2        F  0.0  0.0"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# assume we define the following array with shape 3 x 2 x 2\n",
-    "new_value = la.zeros([la.Axis('age', 3), sex, nat]) \n",
+    "new_value = zeros(['age=0..2', sex, nat]) \n",
     "new_value"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 70,
    "metadata": {
     "collapsed": false
    },
@@ -2279,7 +2286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 71,
    "metadata": {
     "collapsed": false
    },
@@ -2287,22 +2294,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  0 |  0\n",
-       "102 |       F |  0 |  0\n",
-       "103 |       M |  0 |  0\n",
-       "103 |       F |  0 |  0\n",
-       "104 |       M |  0 |  0\n",
-       "104 |       F |  0 |  0\n",
-       "105 |       M |  1 | -1\n",
-       "105 |       F |  2 | -2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   0   0\n",
+       "102        F   0   0\n",
+       "103        M   0   0\n",
+       "103        F   0   0\n",
+       "104        M   0   0\n",
+       "104        F   0   0\n",
+       "105        M   1  -1\n",
+       "105        F   2  -2"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2329,7 +2336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 72,
    "metadata": {
     "collapsed": false
    },
@@ -2337,28 +2344,28 @@
     {
      "data": {
       "text/plain": [
-       "age,sex\\nat |   BE |   FO\n",
-       "        0,F | 5900 | 2817\n",
-       "        1,F | 5916 | 2946\n",
-       "        2,F | 5736 | 2776\n",
-       "        3,F | 5883 | 2734\n",
-       "        4,F | 5784 | 2523\n",
-       "        5,F | 5780 | 2521\n",
-       "        6,F | 5759 | 2290\n",
-       "        7,F | 5518 | 2234\n",
-       "        8,F | 5474 | 2066\n",
-       "        9,F | 5354 | 1896\n",
-       "       10,F | 5200 | 1785"
+       "age,sex\\nat    BE    FO\n",
+       "        0,F  5900  2817\n",
+       "        1,F  5916  2946\n",
+       "        2,F  5736  2776\n",
+       "        3,F  5883  2734\n",
+       "        4,F  5784  2523\n",
+       "        5,F  5780  2521\n",
+       "        6,F  5759  2290\n",
+       "        7,F  5518  2234\n",
+       "        8,F  5474  2066\n",
+       "        9,F  5354  1896\n",
+       "       10,F  5200  1785"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "#Let's focus on population living in Brussels during the year 2016\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap']\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
     "\n",
     "# here we select all males and females with age less than 5 and 10 respectively\n",
     "subset = pop[((x.sex == 'H') & (x.age <= 5)) | ((x.sex == 'F') & (x.age <= 10))]\n",
@@ -2378,7 +2385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 73,
    "metadata": {
     "collapsed": false
    },
@@ -2391,7 +2398,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2410,7 +2417,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 74,
    "metadata": {
     "collapsed": false
    },
@@ -2438,7 +2445,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 75,
    "metadata": {
     "collapsed": false
    },
@@ -2446,31 +2453,31 @@
     {
      "data": {
       "text/plain": [
-       "age\\nat |   BE |   FO\n",
-       "      0 | 5900 | 2817\n",
-       "      1 | 5916 | 2946\n",
-       "      2 | 5736 | 2776\n",
-       "      3 | 5883 | 2734\n",
-       "      4 | 5784 | 2523\n",
-       "      5 | 5780 | 2521\n",
-       "      6 | 5759 | 2290\n",
-       "      7 | 5518 | 2234\n",
-       "      8 | 5474 | 2066\n",
-       "      9 | 5354 | 1896\n",
-       "     10 | 5200 | 1785\n",
-       "     11 |    0 |    0\n",
-       "     12 |    0 |    0\n",
-       "     13 |    0 |    0\n",
-       "     14 |    0 |    0\n",
-       "     15 |    0 |    0\n",
-       "     16 |    0 |    0\n",
-       "     17 |    0 |    0\n",
-       "     18 |    0 |    0\n",
-       "     19 |    0 |    0\n",
-       "     20 |    0 |    0"
+       "age\\nat    BE    FO\n",
+       "      0  5900  2817\n",
+       "      1  5916  2946\n",
+       "      2  5736  2776\n",
+       "      3  5883  2734\n",
+       "      4  5784  2523\n",
+       "      5  5780  2521\n",
+       "      6  5759  2290\n",
+       "      7  5518  2234\n",
+       "      8  5474  2066\n",
+       "      9  5354  1896\n",
+       "     10  5200  1785\n",
+       "     11     0     0\n",
+       "     12     0     0\n",
+       "     13     0     0\n",
+       "     14     0     0\n",
+       "     15     0     0\n",
+       "     16     0     0\n",
+       "     17     0     0\n",
+       "     18     0     0\n",
+       "     19     0     0\n",
+       "     20     0     0"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2483,7 +2490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 76,
    "metadata": {
     "collapsed": false
    },
@@ -2494,7 +2501,7 @@
        "0.14618110657051941"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2513,7 +2520,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 77,
    "metadata": {
     "collapsed": false
    },
@@ -2521,23 +2528,23 @@
     {
      "data": {
       "text/plain": [
-       "sex | M |  F\n",
-       "    | 5 | 10"
+       "sex  M   F\n",
+       "     5  10"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "age_limit = la.create_sequential(sex, initial=5, inc=5)\n",
+    "age_limit = create_sequential('sex=M,F', initial=5, inc=5)\n",
     "age_limit"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 78,
    "metadata": {
     "collapsed": false
    },
@@ -2545,31 +2552,31 @@
     {
      "data": {
       "text/plain": [
-       "age\\sex |     M |     F\n",
-       "      0 |  True |  True\n",
-       "      1 |  True |  True\n",
-       "      2 |  True |  True\n",
-       "      3 |  True |  True\n",
-       "      4 |  True |  True\n",
-       "      5 |  True |  True\n",
-       "      6 | False |  True\n",
-       "      7 | False |  True\n",
-       "      8 | False |  True\n",
-       "      9 | False |  True\n",
-       "     10 | False |  True\n",
-       "     11 | False | False\n",
-       "     12 | False | False\n",
-       "     13 | False | False\n",
-       "     14 | False | False\n",
-       "     15 | False | False\n",
-       "     16 | False | False\n",
-       "     17 | False | False\n",
-       "     18 | False | False\n",
-       "     19 | False | False\n",
-       "     20 | False | False"
+       "age\\sex      M      F\n",
+       "      0   True   True\n",
+       "      1   True   True\n",
+       "      2   True   True\n",
+       "      3   True   True\n",
+       "      4   True   True\n",
+       "      5   True   True\n",
+       "      6  False   True\n",
+       "      7  False   True\n",
+       "      8  False   True\n",
+       "      9  False   True\n",
+       "     10  False   True\n",
+       "     11  False  False\n",
+       "     12  False  False\n",
+       "     13  False  False\n",
+       "     14  False  False\n",
+       "     15  False  False\n",
+       "     16  False  False\n",
+       "     17  False  False\n",
+       "     18  False  False\n",
+       "     19  False  False\n",
+       "     20  False  False"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2581,7 +2588,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 79,
    "metadata": {
     "collapsed": false
    },
@@ -2592,7 +2599,7 @@
        "0.14618110657051941"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2612,7 +2619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 80,
    "metadata": {
     "collapsed": false
    },
@@ -2620,31 +2627,31 @@
     {
      "data": {
       "text/plain": [
-       "age\\nat |   BE |  FO\n",
-       "     90 | 1477 | 136\n",
-       "     91 | 1298 | 105\n",
-       "     92 | 1141 |  78\n",
-       "     93 |  906 |  74\n",
-       "     94 |  739 |  65\n",
-       "     95 |  566 |  53\n",
-       "     96 |  327 |  25\n",
-       "     97 |  171 |  21\n",
-       "     98 |  135 |   9\n",
-       "     99 |   92 |   8\n",
-       "    100 |   60 |   3\n",
-       "    101 |   66 |   5\n",
-       "    102 |   26 |   1\n",
-       "    103 |   17 |   2\n",
-       "    104 |   14 |   0\n",
-       "    105 |    2 |   2\n",
-       "    106 |    3 |   3\n",
-       "    107 |    1 |   2\n",
-       "    108 |    1 |   0\n",
-       "    109 |    0 |   0\n",
-       "    110 |    0 |   0"
+       "age\\nat    BE   FO\n",
+       "     90  1477  136\n",
+       "     91  1298  105\n",
+       "     92  1141   78\n",
+       "     93   906   74\n",
+       "     94   739   65\n",
+       "     95   566   53\n",
+       "     96   327   25\n",
+       "     97   171   21\n",
+       "     98   135    9\n",
+       "     99    92    8\n",
+       "    100    60    3\n",
+       "    101    66    5\n",
+       "    102    26    1\n",
+       "    103    17    2\n",
+       "    104    14    0\n",
+       "    105     2    2\n",
+       "    106     3    3\n",
+       "    107     1    2\n",
+       "    108     1    0\n",
+       "    109     0    0\n",
+       "    110     0    0"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2657,7 +2664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 81,
    "metadata": {
     "collapsed": false
    },
@@ -2665,31 +2672,31 @@
     {
      "data": {
       "text/plain": [
-       "age\\nat |   BE |  FO\n",
-       "     90 | 1477 | 136\n",
-       "     91 | 1298 | 105\n",
-       "     92 | 1141 |  78\n",
-       "     93 |  906 |  74\n",
-       "     94 |  739 |  65\n",
-       "     95 |  566 |  53\n",
-       "     96 |  327 |  25\n",
-       "     97 |  171 |  21\n",
-       "     98 |  135 |   0\n",
-       "     99 |   92 |   0\n",
-       "    100 |   60 |   0\n",
-       "    101 |   66 |   0\n",
-       "    102 |   26 |   0\n",
-       "    103 |   17 |   0\n",
-       "    104 |   14 |   0\n",
-       "    105 |    0 |   0\n",
-       "    106 |    0 |   0\n",
-       "    107 |    0 |   0\n",
-       "    108 |    0 |   0\n",
-       "    109 |    0 |   0\n",
-       "    110 |    0 |   0"
+       "age\\nat    BE   FO\n",
+       "     90  1477  136\n",
+       "     91  1298  105\n",
+       "     92  1141   78\n",
+       "     93   906   74\n",
+       "     94   739   65\n",
+       "     95   566   53\n",
+       "     96   327   25\n",
+       "     97   171   21\n",
+       "     98   135    0\n",
+       "     99    92    0\n",
+       "    100    60    0\n",
+       "    101    66    0\n",
+       "    102    26    0\n",
+       "    103    17    0\n",
+       "    104    14    0\n",
+       "    105     0    0\n",
+       "    106     0    0\n",
+       "    107     0    0\n",
+       "    108     0    0\n",
+       "    109     0    0\n",
+       "    110     0    0"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2709,7 +2716,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 82,
    "metadata": {
     "collapsed": false
    },
@@ -2717,29 +2724,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# let's start with\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95]\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
     "pop"
    ]
   },
@@ -2759,7 +2766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 83,
    "metadata": {
     "collapsed": false
    },
@@ -2767,22 +2774,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |     Men |  539 |  74\n",
-       " 90 |   Women | 1477 | 136\n",
-       " 91 |     Men |  499 |  49\n",
-       " 91 |   Women | 1298 | 105\n",
-       " 92 |     Men |  332 |  35\n",
-       " 92 |   Women | 1141 |  78\n",
-       " 93 |     Men |  287 |  27\n",
-       " 93 |   Women |  906 |  74\n",
-       " 94 |     Men |  237 |  23\n",
-       " 94 |   Women |  739 |  65\n",
-       " 95 |     Men |  154 |  19\n",
-       " 95 |   Women |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90      Men   539   74\n",
+       " 90    Women  1477  136\n",
+       " 91      Men   499   49\n",
+       " 91    Women  1298  105\n",
+       " 92      Men   332   35\n",
+       " 92    Women  1141   78\n",
+       " 93      Men   287   27\n",
+       " 93    Women   906   74\n",
+       " 94      Men   237   23\n",
+       " 94    Women   739   65\n",
+       " 95      Men   154   19\n",
+       " 95    Women   566   53"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2795,7 +2802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 84,
    "metadata": {
     "collapsed": false
    },
@@ -2803,22 +2810,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2845,7 +2852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 85,
    "metadata": {
     "collapsed": false
    },
@@ -2859,7 +2866,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2870,7 +2877,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 86,
    "metadata": {
     "collapsed": false
    },
@@ -2878,22 +2885,22 @@
     {
      "data": {
       "text/plain": [
-       "age | gender\\nat |   BE |  FO\n",
-       " 90 |          M |  539 |  74\n",
-       " 90 |          F | 1477 | 136\n",
-       " 91 |          M |  499 |  49\n",
-       " 91 |          F | 1298 | 105\n",
-       " 92 |          M |  332 |  35\n",
-       " 92 |          F | 1141 |  78\n",
-       " 93 |          M |  287 |  27\n",
-       " 93 |          F |  906 |  74\n",
-       " 94 |          M |  237 |  23\n",
-       " 94 |          F |  739 |  65\n",
-       " 95 |          M |  154 |  19\n",
-       " 95 |          F |  566 |  53"
+       "age  gender\\nat    BE   FO\n",
+       " 90           M   539   74\n",
+       " 90           F  1477  136\n",
+       " 91           M   499   49\n",
+       " 91           F  1298  105\n",
+       " 92           M   332   35\n",
+       " 92           F  1141   78\n",
+       " 93           M   287   27\n",
+       " 93           F   906   74\n",
+       " 94           M   237   23\n",
+       " 94           F   739   65\n",
+       " 95           M   154   19\n",
+       " 95           F   566   53"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2913,7 +2920,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 87,
    "metadata": {
     "collapsed": false
    },
@@ -2921,22 +2928,22 @@
     {
      "data": {
       "text/plain": [
-       "age | gender\\nationality |   BE |  FO\n",
-       " 90 |                  M |  539 |  74\n",
-       " 90 |                  F | 1477 | 136\n",
-       " 91 |                  M |  499 |  49\n",
-       " 91 |                  F | 1298 | 105\n",
-       " 92 |                  M |  332 |  35\n",
-       " 92 |                  F | 1141 |  78\n",
-       " 93 |                  M |  287 |  27\n",
-       " 93 |                  F |  906 |  74\n",
-       " 94 |                  M |  237 |  23\n",
-       " 94 |                  F |  739 |  65\n",
-       " 95 |                  M |  154 |  19\n",
-       " 95 |                  F |  566 |  53"
+       "age  gender\\nationality    BE   FO\n",
+       " 90                   M   539   74\n",
+       " 90                   F  1477  136\n",
+       " 91                   M   499   49\n",
+       " 91                   F  1298  105\n",
+       " 92                   M   332   35\n",
+       " 92                   F  1141   78\n",
+       " 93                   M   287   27\n",
+       " 93                   F   906   74\n",
+       " 94                   M   237   23\n",
+       " 94                   F   739   65\n",
+       " 95                   M   154   19\n",
+       " 95                   F   566   53"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2963,7 +2970,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 88,
    "metadata": {
     "collapsed": false
    },
@@ -2971,22 +2978,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 87,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2998,7 +3005,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 89,
    "metadata": {
     "collapsed": false
    },
@@ -3006,14 +3013,14 @@
     {
      "data": {
       "text/plain": [
-       "nat | sex\\age |   90 |   91 |   92 |  93 |  94 |  95\n",
-       " BE |       M |  539 |  499 |  332 | 287 | 237 | 154\n",
-       " BE |       F | 1477 | 1298 | 1141 | 906 | 739 | 566\n",
-       " FO |       M |   74 |   49 |   35 |  27 |  23 |  19\n",
-       " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
+       "nat  sex\\age    90    91    92   93   94   95\n",
+       " BE        M   539   499   332  287  237  154\n",
+       " BE        F  1477  1298  1141  906  739  566\n",
+       " FO        M    74    49    35   27   23   19\n",
+       " FO        F   136   105    78   74   65   53"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3028,7 +3035,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 90,
    "metadata": {
     "collapsed": false
    },
@@ -3036,22 +3043,22 @@
     {
      "data": {
       "text/plain": [
-       "age | nat\\sex |   M |    F\n",
-       " 90 |      BE | 539 | 1477\n",
-       " 90 |      FO |  74 |  136\n",
-       " 91 |      BE | 499 | 1298\n",
-       " 91 |      FO |  49 |  105\n",
-       " 92 |      BE | 332 | 1141\n",
-       " 92 |      FO |  35 |   78\n",
-       " 93 |      BE | 287 |  906\n",
-       " 93 |      FO |  27 |   74\n",
-       " 94 |      BE | 237 |  739\n",
-       " 94 |      FO |  23 |   65\n",
-       " 95 |      BE | 154 |  566\n",
-       " 95 |      FO |  19 |   53"
+       "age  nat\\sex    M     F\n",
+       " 90       BE  539  1477\n",
+       " 90       FO   74   136\n",
+       " 91       BE  499  1298\n",
+       " 91       FO   49   105\n",
+       " 92       BE  332  1141\n",
+       " 92       FO   35    78\n",
+       " 93       BE  287   906\n",
+       " 93       FO   27    74\n",
+       " 94       BE  237   739\n",
+       " 94       FO   23    65\n",
+       " 95       BE  154   566\n",
+       " 95       FO   19    53"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3063,7 +3070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 91,
    "metadata": {
     "collapsed": false
    },
@@ -3071,22 +3078,22 @@
     {
      "data": {
       "text/plain": [
-       "sex | age\\nat |   BE |  FO\n",
-       "  M |      90 |  539 |  74\n",
-       "  M |      91 |  499 |  49\n",
-       "  M |      92 |  332 |  35\n",
-       "  M |      93 |  287 |  27\n",
-       "  M |      94 |  237 |  23\n",
-       "  M |      95 |  154 |  19\n",
-       "  F |      90 | 1477 | 136\n",
-       "  F |      91 | 1298 | 105\n",
-       "  F |      92 | 1141 |  78\n",
-       "  F |      93 |  906 |  74\n",
-       "  F |      94 |  739 |  65\n",
-       "  F |      95 |  566 |  53"
+       "sex  age\\nat    BE   FO\n",
+       "  M       90   539   74\n",
+       "  M       91   499   49\n",
+       "  M       92   332   35\n",
+       "  M       93   287   27\n",
+       "  M       94   237   23\n",
+       "  M       95   154   19\n",
+       "  F       90  1477  136\n",
+       "  F       91  1298  105\n",
+       "  F       92  1141   78\n",
+       "  F       93   906   74\n",
+       "  F       94   739   65\n",
+       "  F       95   566   53"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3112,7 +3119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 92,
    "metadata": {
     "collapsed": false
    },
@@ -3120,18 +3127,18 @@
     {
      "data": {
       "text/plain": [
-       "sex\\nat |     BE |     FO\n",
-       "      M | 375261 | 204534\n",
-       "      F | 401554 | 206541"
+       "sex\\nat      BE      FO\n",
+       "      M  375261  204534\n",
+       "      F  401554  206541"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap']\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
     "pop.sum(x.age)"
    ]
   },
@@ -3144,7 +3151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 93,
    "metadata": {
     "collapsed": false
    },
@@ -3152,11 +3159,11 @@
     {
      "data": {
       "text/plain": [
-       "age |   90 |   91 |   92 |   93 |   94 |  95\n",
-       "    | 2226 | 1951 | 1586 | 1294 | 1064 | 792"
+       "age    90    91    92    93    94   95\n",
+       "     2226  1951  1586  1294  1064  792"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3197,7 +3204,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 94,
    "metadata": {
     "collapsed": false
    },
@@ -3208,7 +3215,7 @@
        "age[30, 55, 52, 25, 99]"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3234,7 +3241,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 95,
    "metadata": {
     "collapsed": false
    },
@@ -3245,7 +3252,7 @@
        "age[67:] >> 'pensioners'"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3269,7 +3276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 96,
    "metadata": {
     "collapsed": false
    },
@@ -3277,20 +3284,20 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |   FO\n",
-       " 30 |       M | 5278 | 4725\n",
-       " 30 |       F | 5253 | 5419\n",
-       " 55 |       M | 4457 | 2196\n",
-       " 55 |       F | 4953 | 2059\n",
-       " 52 |       M | 4635 | 2640\n",
-       " 52 |       F | 4740 | 2333\n",
-       " 25 |       M | 5477 | 3590\n",
-       " 25 |       F | 5539 | 4635\n",
-       " 99 |       M |   20 |    2\n",
-       " 99 |       F |   92 |    8"
+       "age  sex\\nat    BE    FO\n",
+       " 30        M  5278  4725\n",
+       " 30        F  5253  5419\n",
+       " 55        M  4457  2196\n",
+       " 55        F  4953  2059\n",
+       " 52        M  4635  2640\n",
+       " 52        F  4740  2333\n",
+       " 25        M  5477  3590\n",
+       " 25        F  5539  4635\n",
+       " 99        M    20     2\n",
+       " 99        F    92     8"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3308,7 +3315,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 97,
    "metadata": {
     "collapsed": false
    },
@@ -3316,12 +3323,12 @@
     {
      "data": {
       "text/plain": [
-       "sex\\nat |    BE |    FO\n",
-       "      M | 44138 |  9939\n",
-       "      F | 70314 | 13241"
+       "sex\\nat     BE     FO\n",
+       "      M  44138   9939\n",
+       "      F  70314  13241"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3332,7 +3339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 98,
    "metadata": {
     "collapsed": false
    },
@@ -3340,16 +3347,16 @@
     {
      "data": {
       "text/plain": [
-       "           age | sex\\nat |    BE |    FO\n",
-       "      children |       M | 49143 | 17100\n",
-       "      children |       F | 47226 | 16523\n",
-       "    pensioners |       M | 44138 |  9939\n",
-       "    pensioners |       F | 70314 | 13241\n",
-       "30,55,52,25,99 |       M | 19867 | 13153\n",
-       "30,55,52,25,99 |       F | 20577 | 14454"
+       "           age  sex\\nat     BE     FO\n",
+       "      children        M  49143  17100\n",
+       "      children        F  47226  16523\n",
+       "    pensioners        M  44138   9939\n",
+       "    pensioners        F  70314  13241\n",
+       "30,55,52,25,99        M  19867  13153\n",
+       "30,55,52,25,99        F  20577  14454"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3361,7 +3368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 99,
    "metadata": {
     "collapsed": false
    },
@@ -3369,13 +3376,13 @@
     {
      "data": {
       "text/plain": [
-       "       age\\sex |     M |     F\n",
-       "      children | 66243 | 63749\n",
-       "    pensioners | 54077 | 83555\n",
-       "30,55,52,25,99 | 33020 | 35031"
+       "       age\\sex      M      F\n",
+       "      children  66243  63749\n",
+       "    pensioners  54077  83555\n",
+       "30,55,52,25,99  33020  35031"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3394,7 +3401,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 100,
    "metadata": {
     "collapsed": false
    },
@@ -3402,29 +3409,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 100,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# go back to our 6 x 2 x 2 example array\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95]\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
     "pop"
    ]
   },
@@ -3444,7 +3451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 101,
    "metadata": {
     "collapsed": false
    },
@@ -3452,22 +3459,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  739 | 274\n",
-       " 90 |       F | 1677 | 336\n",
-       " 91 |       M |  699 | 249\n",
-       " 91 |       F | 1498 | 305\n",
-       " 92 |       M |  532 | 235\n",
-       " 92 |       F | 1341 | 278\n",
-       " 93 |       M |  487 | 227\n",
-       " 93 |       F | 1106 | 274\n",
-       " 94 |       M |  437 | 223\n",
-       " 94 |       F |  939 | 265\n",
-       " 95 |       M |  354 | 219\n",
-       " 95 |       F |  766 | 253"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   739  274\n",
+       " 90        F  1677  336\n",
+       " 91        M   699  249\n",
+       " 91        F  1498  305\n",
+       " 92        M   532  235\n",
+       " 92        F  1341  278\n",
+       " 93        M   487  227\n",
+       " 93        F  1106  274\n",
+       " 94        M   437  223\n",
+       " 94        F   939  265\n",
+       " 95        M   354  219\n",
+       " 95        F   766  253"
       ]
      },
-     "execution_count": 100,
+     "execution_count": 101,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3479,7 +3486,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 102,
    "metadata": {
     "collapsed": false
    },
@@ -3487,22 +3494,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M | 1078 | 148\n",
-       " 90 |       F | 2954 | 272\n",
-       " 91 |       M |  998 |  98\n",
-       " 91 |       F | 2596 | 210\n",
-       " 92 |       M |  664 |  70\n",
-       " 92 |       F | 2282 | 156\n",
-       " 93 |       M |  574 |  54\n",
-       " 93 |       F | 1812 | 148\n",
-       " 94 |       M |  474 |  46\n",
-       " 94 |       F | 1478 | 130\n",
-       " 95 |       M |  308 |  38\n",
-       " 95 |       F | 1132 | 106"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M  1078  148\n",
+       " 90        F  2954  272\n",
+       " 91        M   998   98\n",
+       " 91        F  2596  210\n",
+       " 92        M   664   70\n",
+       " 92        F  2282  156\n",
+       " 93        M   574   54\n",
+       " 93        F  1812  148\n",
+       " 94        M   474   46\n",
+       " 94        F  1478  130\n",
+       " 95        M   308   38\n",
+       " 95        F  1132  106"
       ]
      },
-     "execution_count": 101,
+     "execution_count": 102,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3514,7 +3521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 103,
    "metadata": {
     "collapsed": false
    },
@@ -3522,22 +3529,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |      BE |    FO\n",
-       " 90 |       M |  290521 |  5476\n",
-       " 90 |       F | 2181529 | 18496\n",
-       " 91 |       M |  249001 |  2401\n",
-       " 91 |       F | 1684804 | 11025\n",
-       " 92 |       M |  110224 |  1225\n",
-       " 92 |       F | 1301881 |  6084\n",
-       " 93 |       M |   82369 |   729\n",
-       " 93 |       F |  820836 |  5476\n",
-       " 94 |       M |   56169 |   529\n",
-       " 94 |       F |  546121 |  4225\n",
-       " 95 |       M |   23716 |   361\n",
-       " 95 |       F |  320356 |  2809"
+       "age  sex\\nat       BE     FO\n",
+       " 90        M   290521   5476\n",
+       " 90        F  2181529  18496\n",
+       " 91        M   249001   2401\n",
+       " 91        F  1684804  11025\n",
+       " 92        M   110224   1225\n",
+       " 92        F  1301881   6084\n",
+       " 93        M    82369    729\n",
+       " 93        F   820836   5476\n",
+       " 94        M    56169    529\n",
+       " 94        F   546121   4225\n",
+       " 95        M    23716    361\n",
+       " 95        F   320356   2809"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 103,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3549,7 +3556,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 104,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -3558,22 +3565,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       " 90 |       M |  9 |  4\n",
-       " 90 |       F |  7 |  6\n",
-       " 91 |       M |  9 |  9\n",
-       " 91 |       F |  8 |  5\n",
-       " 92 |       M |  2 |  5\n",
-       " 92 |       F |  1 |  8\n",
-       " 93 |       M |  7 |  7\n",
-       " 93 |       F |  6 |  4\n",
-       " 94 |       M |  7 |  3\n",
-       " 94 |       F |  9 |  5\n",
-       " 95 |       M |  4 |  9\n",
-       " 95 |       F |  6 |  3"
+       "age  sex\\nat  BE  FO\n",
+       " 90        M   9   4\n",
+       " 90        F   7   6\n",
+       " 91        M   9   9\n",
+       " 91        F   8   5\n",
+       " 92        M   2   5\n",
+       " 92        F   1   8\n",
+       " 93        M   7   7\n",
+       " 93        F   6   4\n",
+       " 94        M   7   3\n",
+       " 94        F   9   5\n",
+       " 95        M   4   9\n",
+       " 95        F   6   3"
       ]
      },
-     "execution_count": 103,
+     "execution_count": 104,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3592,7 +3599,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 104,
+   "execution_count": 105,
    "metadata": {
     "collapsed": false
    },
@@ -3600,29 +3607,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |                 BE |                 FO\n",
-       " 90 |       M |  94.00000000000001 | 13.000000000000004\n",
-       " 90 |       F | 204.00000000000003 | 19.000000000000004\n",
-       " 91 |       M |               95.0 |                9.0\n",
-       " 91 |       F | 200.00000000000006 |               16.0\n",
-       " 92 |       M |               70.0 |                7.0\n",
-       " 92 |       F | 195.00000000000006 | 13.000000000000004\n",
-       " 93 |       M |  66.00000000000001 |                6.0\n",
-       " 93 |       F | 171.99999999999997 |               14.0\n",
-       " 94 |       M |               59.0 |                6.0\n",
-       " 94 |       F | 155.00000000000003 |               14.0\n",
-       " 95 |       M |               41.0 |                5.0\n",
-       " 95 |       F |              130.0 | 12.000000000000004"
+       "age  sex\\nat                  BE                  FO\n",
+       " 90        M   94.00000000000001  13.000000000000004\n",
+       " 90        F  204.00000000000003  19.000000000000004\n",
+       " 91        M                95.0                 9.0\n",
+       " 91        F  200.00000000000006                16.0\n",
+       " 92        M                70.0                 7.0\n",
+       " 92        F  195.00000000000006  13.000000000000004\n",
+       " 93        M   66.00000000000001                 6.0\n",
+       " 93        F  171.99999999999997                14.0\n",
+       " 94        M                59.0                 6.0\n",
+       " 94        F  155.00000000000003                14.0\n",
+       " 95        M                41.0                 5.0\n",
+       " 95        F               130.0  12.000000000000004"
       ]
      },
-     "execution_count": 104,
+     "execution_count": 105,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# load mortality equivalent array\n",
-    "mortality = la.read_csv('qx.csv')[2016, 'BruCap', 90:95] \n",
+    "mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] \n",
     "\n",
     "# compute number of deaths\n",
     "death = pop * mortality\n",
@@ -3642,7 +3649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 105,
+   "execution_count": 106,
    "metadata": {
     "collapsed": false
    },
@@ -3650,22 +3657,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |  BE | FO\n",
-       " 90 |       M |  94 | 13\n",
-       " 90 |       F | 204 | 19\n",
-       " 91 |       M |  95 |  9\n",
-       " 91 |       F | 200 | 16\n",
-       " 92 |       M |  70 |  7\n",
-       " 92 |       F | 195 | 13\n",
-       " 93 |       M |  66 |  6\n",
-       " 93 |       F | 171 | 14\n",
-       " 94 |       M |  59 |  6\n",
-       " 94 |       F | 155 | 14\n",
-       " 95 |       M |  41 |  5\n",
-       " 95 |       F | 130 | 12"
+       "age  sex\\nat   BE  FO\n",
+       " 90        M   94  13\n",
+       " 90        F  204  19\n",
+       " 91        M   95   9\n",
+       " 91        F  200  16\n",
+       " 92        M   70   7\n",
+       " 92        F  195  13\n",
+       " 93        M   66   6\n",
+       " 93        F  171  14\n",
+       " 94        M   59   6\n",
+       " 94        F  155  14\n",
+       " 95        M   41   5\n",
+       " 95        F  130  12"
       ]
      },
-     "execution_count": 105,
+     "execution_count": 106,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3686,7 +3693,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 107,
    "metadata": {
     "collapsed": false
    },
@@ -3696,9 +3703,9 @@
      "output_type": "stream",
      "text": [
       "<class 'ValueError'> incompatible axes:\n",
-      "Axis('age', [93, 94, 95])\n",
+      "Axis([93, 94, 95], 'age')\n",
       "vs\n",
-      "Axis('age', [90, 91, 92])\n"
+      "Axis([90, 91, 92], 'age')\n"
      ]
     }
    ],
@@ -3716,7 +3723,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 108,
    "metadata": {
     "collapsed": false
    },
@@ -3724,16 +3731,16 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |                 BE |                 FO\n",
-       " 90 |       M | 123.95121951219514 | 16.444444444444443\n",
-       " 90 |       F |   280.401766004415 |  25.72972972972973\n",
-       " 91 |       M | 124.22362869198312 | 12.782608695652174\n",
-       " 91 |       F | 272.24627875507446 | 22.615384615384617\n",
-       " 92 |       M |  88.38961038961038 |  9.210526315789473\n",
-       " 92 |       F | 262.06713780918733 |  17.66037735849057"
+       "age  sex\\nat                  BE                  FO\n",
+       " 90        M  123.95121951219514  16.444444444444443\n",
+       " 90        F    280.401766004415   25.72972972972973\n",
+       " 91        M  124.22362869198312  12.782608695652174\n",
+       " 91        F  272.24627875507446  22.615384615384617\n",
+       " 92        M   88.38961038961038   9.210526315789473\n",
+       " 92        F  262.06713780918733   17.66037735849057"
       ]
      },
-     "execution_count": 107,
+     "execution_count": 108,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3751,7 +3758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": 109,
    "metadata": {
     "collapsed": false
    },
@@ -3759,22 +3766,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |    BE |   FO\n",
-       " 90 |       M |   539 |   74\n",
-       " 90 |       F | -1477 | -136\n",
-       " 91 |       M |   499 |   49\n",
-       " 91 |       F | -1298 | -105\n",
-       " 92 |       M |   332 |   35\n",
-       " 92 |       F | -1141 |  -78\n",
-       " 93 |       M |   287 |   27\n",
-       " 93 |       F |  -906 |  -74\n",
-       " 94 |       M |   237 |   23\n",
-       " 94 |       F |  -739 |  -65\n",
-       " 95 |       M |   154 |   19\n",
-       " 95 |       F |  -566 |  -53"
+       "age  sex\\nat     BE    FO\n",
+       " 90        M    539    74\n",
+       " 90        F  -1477  -136\n",
+       " 91        M    499    49\n",
+       " 91        F  -1298  -105\n",
+       " 92        M    332    35\n",
+       " 92        F  -1141   -78\n",
+       " 93        M    287    27\n",
+       " 93        F   -906   -74\n",
+       " 94        M    237    23\n",
+       " 94        F   -739   -65\n",
+       " 95        M    154    19\n",
+       " 95        F   -566   -53"
       ]
      },
-     "execution_count": 108,
+     "execution_count": 109,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3787,7 +3794,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 110,
    "metadata": {
     "collapsed": false
    },
@@ -3795,22 +3802,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |    BE |    FO\n",
-       " 90 |       M |  True |  True\n",
-       " 90 |       F | False | False\n",
-       " 91 |       M |  True |  True\n",
-       " 91 |       F | False | False\n",
-       " 92 |       M |  True |  True\n",
-       " 92 |       F | False | False\n",
-       " 93 |       M |  True |  True\n",
-       " 93 |       F | False | False\n",
-       " 94 |       M |  True |  True\n",
-       " 94 |       F | False | False\n",
-       " 95 |       M |  True |  True\n",
-       " 95 |       F | False | False"
+       "age  sex\\nat     BE     FO\n",
+       " 90        M   True   True\n",
+       " 90        F  False  False\n",
+       " 91        M   True   True\n",
+       " 91        F  False  False\n",
+       " 92        M   True   True\n",
+       " 92        F  False  False\n",
+       " 93        M   True   True\n",
+       " 93        F  False  False\n",
+       " 94        M   True   True\n",
+       " 94        F  False  False\n",
+       " 95        M   True   True\n",
+       " 95        F  False  False"
       ]
      },
-     "execution_count": 109,
+     "execution_count": 110,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3822,7 +3829,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 110,
+   "execution_count": 111,
    "metadata": {
     "collapsed": false
    },
@@ -3830,22 +3837,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |    BE |    FO\n",
-       " 90 |       M | False | False\n",
-       " 90 |       F |  True |  True\n",
-       " 91 |       M | False | False\n",
-       " 91 |       F |  True |  True\n",
-       " 92 |       M | False | False\n",
-       " 92 |       F |  True |  True\n",
-       " 93 |       M | False | False\n",
-       " 93 |       F |  True |  True\n",
-       " 94 |       M | False | False\n",
-       " 94 |       F |  True |  True\n",
-       " 95 |       M | False | False\n",
-       " 95 |       F |  True |  True"
+       "age  sex\\nat     BE     FO\n",
+       " 90        M  False  False\n",
+       " 90        F   True   True\n",
+       " 91        M  False  False\n",
+       " 91        F   True   True\n",
+       " 92        M  False  False\n",
+       " 92        F   True   True\n",
+       " 93        M  False  False\n",
+       " 93        F   True   True\n",
+       " 94        M  False  False\n",
+       " 94        F   True   True\n",
+       " 95        M  False  False\n",
+       " 95        F   True   True"
       ]
      },
-     "execution_count": 110,
+     "execution_count": 111,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3857,7 +3864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 111,
+   "execution_count": 112,
    "metadata": {
     "collapsed": false
    },
@@ -3865,22 +3872,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 111,
+     "execution_count": 112,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3892,7 +3899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 112,
+   "execution_count": 113,
    "metadata": {
     "collapsed": false
    },
@@ -3900,22 +3907,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |    BE |    FO\n",
-       " 90 |       M |  True | False\n",
-       " 90 |       F | False | False\n",
-       " 91 |       M | False | False\n",
-       " 91 |       F | False | False\n",
-       " 92 |       M | False | False\n",
-       " 92 |       F | False | False\n",
-       " 93 |       M | False | False\n",
-       " 93 |       F |  True | False\n",
-       " 94 |       M | False | False\n",
-       " 94 |       F |  True | False\n",
-       " 95 |       M | False | False\n",
-       " 95 |       F |  True | False"
+       "age  sex\\nat     BE     FO\n",
+       " 90        M   True  False\n",
+       " 90        F  False  False\n",
+       " 91        M  False  False\n",
+       " 91        F  False  False\n",
+       " 92        M  False  False\n",
+       " 92        F  False  False\n",
+       " 93        M  False  False\n",
+       " 93        F   True  False\n",
+       " 94        M  False  False\n",
+       " 94        F   True  False\n",
+       " 95        M  False  False\n",
+       " 95        F   True  False"
       ]
      },
-     "execution_count": 112,
+     "execution_count": 113,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3927,7 +3934,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 113,
+   "execution_count": 114,
    "metadata": {
     "collapsed": false
    },
@@ -3935,22 +3942,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |    BE |   FO\n",
-       " 90 |       M | False | True\n",
-       " 90 |       F |  True | True\n",
-       " 91 |       M |  True | True\n",
-       " 91 |       F |  True | True\n",
-       " 92 |       M |  True | True\n",
-       " 92 |       F |  True | True\n",
-       " 93 |       M |  True | True\n",
-       " 93 |       F | False | True\n",
-       " 94 |       M |  True | True\n",
-       " 94 |       F | False | True\n",
-       " 95 |       M |  True | True\n",
-       " 95 |       F | False | True"
+       "age  sex\\nat     BE    FO\n",
+       " 90        M  False  True\n",
+       " 90        F   True  True\n",
+       " 91        M   True  True\n",
+       " 91        F   True  True\n",
+       " 92        M   True  True\n",
+       " 92        F   True  True\n",
+       " 93        M   True  True\n",
+       " 93        F  False  True\n",
+       " 94        M   True  True\n",
+       " 94        F  False  True\n",
+       " 95        M   True  True\n",
+       " 95        F  False  True"
       ]
      },
-     "execution_count": 113,
+     "execution_count": 114,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3969,7 +3976,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 115,
    "metadata": {
     "collapsed": false
    },
@@ -3977,12 +3984,12 @@
     {
      "data": {
       "text/plain": [
-       "sex\\nat |   BE |  FO\n",
-       "      M | 2048 | 227\n",
-       "      F | 6127 | 511"
+       "sex\\nat    BE   FO\n",
+       "      M  2048  227\n",
+       "      F  6127  511"
       ]
      },
-     "execution_count": 114,
+     "execution_count": 115,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3993,7 +4000,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 115,
+   "execution_count": 116,
    "metadata": {
     "collapsed": false
    },
@@ -4007,7 +4014,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 115,
+     "execution_count": 116,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4019,7 +4026,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 117,
    "metadata": {
     "collapsed": false
    },
@@ -4032,7 +4039,7 @@
        " nat [2]: 'BE' 'FO'"
       ]
      },
-     "execution_count": 116,
+     "execution_count": 117,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4044,7 +4051,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 118,
    "metadata": {
     "collapsed": false
    },
@@ -4052,22 +4059,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |                  BE |                  FO\n",
-       " 90 |       M |       0.26318359375 | 0.32599118942731276\n",
-       " 90 |       F |  0.2410641423208748 | 0.26614481409001955\n",
-       " 91 |       M |       0.24365234375 | 0.21585903083700442\n",
-       " 91 |       F |  0.2118491921005386 |  0.2054794520547945\n",
-       " 92 |       M |         0.162109375 | 0.15418502202643172\n",
-       " 92 |       F | 0.18622490615309287 | 0.15264187866927592\n",
-       " 93 |       M |       0.14013671875 | 0.11894273127753303\n",
-       " 93 |       F | 0.14787008323812634 | 0.14481409001956946\n",
-       " 94 |       M |       0.11572265625 |  0.1013215859030837\n",
-       " 94 |       F | 0.12061367716663947 | 0.12720156555772993\n",
-       " 95 |       M |        0.0751953125 | 0.08370044052863436\n",
-       " 95 |       F | 0.09237799902072792 | 0.10371819960861056"
+       "age  sex\\nat                   BE                   FO\n",
+       " 90        M        0.26318359375  0.32599118942731276\n",
+       " 90        F   0.2410641423208748  0.26614481409001955\n",
+       " 91        M        0.24365234375  0.21585903083700442\n",
+       " 91        F   0.2118491921005386   0.2054794520547945\n",
+       " 92        M          0.162109375  0.15418502202643172\n",
+       " 92        F  0.18622490615309287  0.15264187866927592\n",
+       " 93        M        0.14013671875  0.11894273127753303\n",
+       " 93        F  0.14787008323812634  0.14481409001956946\n",
+       " 94        M        0.11572265625   0.1013215859030837\n",
+       " 94        F  0.12061367716663947  0.12720156555772993\n",
+       " 95        M         0.0751953125  0.08370044052863436\n",
+       " 95        F  0.09237799902072792  0.10371819960861056"
       ]
      },
-     "execution_count": 117,
+     "execution_count": 118,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4093,7 +4100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 119,
    "metadata": {
     "collapsed": false
    },
@@ -4101,22 +4108,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53"
       ]
      },
-     "execution_count": 118,
+     "execution_count": 119,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4127,7 +4134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 120,
    "metadata": {
     "collapsed": false
    },
@@ -4135,14 +4142,14 @@
     {
      "data": {
       "text/plain": [
-       "nat | sex\\age |   90 |   91 |   92 |  93 |  94 |  95\n",
-       " BE |       M |  539 |  499 |  332 | 287 | 237 | 154\n",
-       " BE |       F | 1477 | 1298 | 1141 | 906 | 739 | 566\n",
-       " FO |       M |   74 |   49 |   35 |  27 |  23 |  19\n",
-       " FO |       F |  136 |  105 |   78 |  74 |  65 |  53"
+       "nat  sex\\age    90    91    92   93   94   95\n",
+       " BE        M   539   499   332  287  237  154\n",
+       " BE        F  1477  1298  1141  906  739  566\n",
+       " FO        M    74    49    35   27   23   19\n",
+       " FO        F   136   105    78   74   65   53"
       ]
      },
-     "execution_count": 119,
+     "execution_count": 120,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4155,7 +4162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 120,
+   "execution_count": 121,
    "metadata": {
     "collapsed": false
    },
@@ -4163,14 +4170,14 @@
     {
      "data": {
       "text/plain": [
-       "nat | sex\\age |   90 |   91 |   92 |   93 |   94 |   95\n",
-       " BE |       M | 1078 |  998 |  664 |  574 |  474 |  308\n",
-       " BE |       F | 2954 | 2596 | 2282 | 1812 | 1478 | 1132\n",
-       " FO |       M |  148 |   98 |   70 |   54 |   46 |   38\n",
-       " FO |       F |  272 |  210 |  156 |  148 |  130 |  106"
+       "nat  sex\\age    90    91    92    93    94    95\n",
+       " BE        M  1078   998   664   574   474   308\n",
+       " BE        F  2954  2596  2282  1812  1478  1132\n",
+       " FO        M   148    98    70    54    46    38\n",
+       " FO        F   272   210   156   148   130   106"
       ]
      },
-     "execution_count": 120,
+     "execution_count": 121,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4203,7 +4210,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 122,
    "metadata": {
     "collapsed": false
    },
@@ -4211,32 +4218,32 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO | NEU\n",
-       " 90 |       M |  539 |  74 |  25\n",
-       " 90 |       F | 1477 | 136 |  54\n",
-       " 91 |       M |  499 |  49 |  15\n",
-       " 91 |       F | 1298 | 105 |  33\n",
-       " 92 |       M |  332 |  35 |  12\n",
-       " 92 |       F | 1141 |  78 |  28\n",
-       " 93 |       M |  287 |  27 |  11\n",
-       " 93 |       F |  906 |  74 |  37\n",
-       " 94 |       M |  237 |  23 |   5\n",
-       " 94 |       F |  739 |  65 |  21\n",
-       " 95 |       M |  154 |  19 |   7\n",
-       " 95 |       F |  566 |  53 |  19"
+       "age  sex\\nat    BE   FO  NEU\n",
+       " 90        M   539   74   25\n",
+       " 90        F  1477  136   54\n",
+       " 91        M   499   49   15\n",
+       " 91        F  1298  105   33\n",
+       " 92        M   332   35   12\n",
+       " 92        F  1141   78   28\n",
+       " 93        M   287   27   11\n",
+       " 93        F   906   74   37\n",
+       " 94        M   237   23    5\n",
+       " 94        F   739   65   21\n",
+       " 95        M   154   19    7\n",
+       " 95        F   566   53   19"
       ]
      },
-     "execution_count": 121,
+     "execution_count": 122,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95] \n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] \n",
     "\n",
     "# imagine that you have now acces to the number of non-EU foreigners\n",
     "data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]\n",
-    "pop_non_eu = la.LArray(data, pop['FO'].axes)\n",
+    "pop_non_eu = LArray(data, pop['FO'].axes)\n",
     "\n",
     "# you can do something like this\n",
     "pop = pop.append(nat, pop_non_eu, 'NEU')\n",
@@ -4245,7 +4252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 123,
    "metadata": {
     "collapsed": false
    },
@@ -4253,28 +4260,28 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO | NEU\n",
-       " 90 |       B | 2016 | 210 |  79\n",
-       " 90 |       M |  539 |  74 |  25\n",
-       " 90 |       F | 1477 | 136 |  54\n",
-       " 91 |       B | 1797 | 154 |  48\n",
-       " 91 |       M |  499 |  49 |  15\n",
-       " 91 |       F | 1298 | 105 |  33\n",
-       " 92 |       B | 1473 | 113 |  40\n",
-       " 92 |       M |  332 |  35 |  12\n",
-       " 92 |       F | 1141 |  78 |  28\n",
-       " 93 |       B | 1193 | 101 |  48\n",
-       " 93 |       M |  287 |  27 |  11\n",
-       " 93 |       F |  906 |  74 |  37\n",
-       " 94 |       B |  976 |  88 |  26\n",
-       " 94 |       M |  237 |  23 |   5\n",
-       " 94 |       F |  739 |  65 |  21\n",
-       " 95 |       B |  720 |  72 |  26\n",
-       " 95 |       M |  154 |  19 |   7\n",
-       " 95 |       F |  566 |  53 |  19"
+       "age  sex\\nat    BE   FO  NEU\n",
+       " 90        B  2016  210   79\n",
+       " 90        M   539   74   25\n",
+       " 90        F  1477  136   54\n",
+       " 91        B  1797  154   48\n",
+       " 91        M   499   49   15\n",
+       " 91        F  1298  105   33\n",
+       " 92        B  1473  113   40\n",
+       " 92        M   332   35   12\n",
+       " 92        F  1141   78   28\n",
+       " 93        B  1193  101   48\n",
+       " 93        M   287   27   11\n",
+       " 93        F   906   74   37\n",
+       " 94        B   976   88   26\n",
+       " 94        M   237   23    5\n",
+       " 94        F   739   65   21\n",
+       " 95        B   720   72   26\n",
+       " 95        M   154   19    7\n",
+       " 95        F   566   53   19"
       ]
      },
-     "execution_count": 122,
+     "execution_count": 123,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4294,7 +4301,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 124,
    "metadata": {
     "collapsed": false
    },
@@ -4302,23 +4309,23 @@
     {
      "data": {
       "text/plain": [
-       "sex |   B |   M |   F\n",
-       "    | 0.0 | 0.0 | 0.0"
+       "sex    B    M    F\n",
+       "     0.0  0.0  0.0"
       ]
      },
-     "execution_count": 123,
+     "execution_count": 124,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "aliens = la.zeros(pop.axes['sex'])\n",
+    "aliens = zeros(pop.axes['sex'])\n",
     "aliens"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 125,
    "metadata": {
     "collapsed": false
    },
@@ -4326,28 +4333,28 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO | NEU | AL\n",
-       " 90 |       B | 2016 | 210 |  79 |  0\n",
-       " 90 |       M |  539 |  74 |  25 |  0\n",
-       " 90 |       F | 1477 | 136 |  54 |  0\n",
-       " 91 |       B | 1797 | 154 |  48 |  0\n",
-       " 91 |       M |  499 |  49 |  15 |  0\n",
-       " 91 |       F | 1298 | 105 |  33 |  0\n",
-       " 92 |       B | 1473 | 113 |  40 |  0\n",
-       " 92 |       M |  332 |  35 |  12 |  0\n",
-       " 92 |       F | 1141 |  78 |  28 |  0\n",
-       " 93 |       B | 1193 | 101 |  48 |  0\n",
-       " 93 |       M |  287 |  27 |  11 |  0\n",
-       " 93 |       F |  906 |  74 |  37 |  0\n",
-       " 94 |       B |  976 |  88 |  26 |  0\n",
-       " 94 |       M |  237 |  23 |   5 |  0\n",
-       " 94 |       F |  739 |  65 |  21 |  0\n",
-       " 95 |       B |  720 |  72 |  26 |  0\n",
-       " 95 |       M |  154 |  19 |   7 |  0\n",
-       " 95 |       F |  566 |  53 |  19 |  0"
+       "age  sex\\nat    BE   FO  NEU  AL\n",
+       " 90        B  2016  210   79   0\n",
+       " 90        M   539   74   25   0\n",
+       " 90        F  1477  136   54   0\n",
+       " 91        B  1797  154   48   0\n",
+       " 91        M   499   49   15   0\n",
+       " 91        F  1298  105   33   0\n",
+       " 92        B  1473  113   40   0\n",
+       " 92        M   332   35   12   0\n",
+       " 92        F  1141   78   28   0\n",
+       " 93        B  1193  101   48   0\n",
+       " 93        M   287   27   11   0\n",
+       " 93        F   906   74   37   0\n",
+       " 94        B   976   88   26   0\n",
+       " 94        M   237   23    5   0\n",
+       " 94        F   739   65   21   0\n",
+       " 95        B   720   72   26   0\n",
+       " 95        M   154   19    7   0\n",
+       " 95        F   566   53   19   0"
       ]
      },
-     "execution_count": 124,
+     "execution_count": 125,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4373,7 +4380,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 126,
    "metadata": {
     "collapsed": false
    },
@@ -4381,39 +4388,40 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO\n",
-       " 90 |       M |  539 |  74\n",
-       " 90 |       F | 1477 | 136\n",
-       " 91 |       M |  499 |  49\n",
-       " 91 |       F | 1298 | 105\n",
-       " 92 |       M |  332 |  35\n",
-       " 92 |       F | 1141 |  78\n",
-       " 93 |       M |  287 |  27\n",
-       " 93 |       F |  906 |  74\n",
-       " 94 |       M |  237 |  23\n",
-       " 94 |       F |  739 |  65\n",
-       " 95 |       M |  154 |  19\n",
-       " 95 |       F |  566 |  53\n",
-       " 96 |       M |   80 |   9\n",
-       " 96 |       F |  327 |  25\n",
-       " 97 |       M |   43 |   9\n",
-       " 97 |       F |  171 |  21\n",
-       " 98 |       M |   23 |   4\n",
-       " 98 |       F |  135 |   9\n",
-       " 99 |       M |   20 |   2\n",
-       " 99 |       F |   92 |   8\n",
-       "100 |       M |   12 |   0\n",
-       "100 |       F |   60 |   3"
+       "age  sex\\nat    BE   FO\n",
+       " 90        M   539   74\n",
+       " 90        F  1477  136\n",
+       " 91        M   499   49\n",
+       " 91        F  1298  105\n",
+       " 92        M   332   35\n",
+       " 92        F  1141   78\n",
+       " 93        M   287   27\n",
+       " 93        F   906   74\n",
+       " 94        M   237   23\n",
+       " 94        F   739   65\n",
+       " 95        M   154   19\n",
+       " 95        F   566   53\n",
+       " 96        M    80    9\n",
+       " 96        F   327   25\n",
+       " 97        M    43    9\n",
+       " 97        F   171   21\n",
+       " 98        M    23    4\n",
+       " 98        F   135    9\n",
+       " 99        M    20    2\n",
+       " 99        F    92    8\n",
+       "100        M    12    0\n",
+       "100        F    60    3"
       ]
      },
-     "execution_count": 125,
+     "execution_count": 126,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 90:95] \n",
-    "pop_next = la.read_csv('pop.csv')[2016, 'BruCap', 96:100]\n",
+    "_pop = load_example_data('demography').pop\n",
+    "pop = _pop[2016, 'BruCap', 90:95] \n",
+    "pop_next = _pop[2016, 'BruCap', 96:100]\n",
     "\n",
     "# concatenate along age axis\n",
     "pop.extend(x.age, pop_next)"
@@ -4435,7 +4443,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 127,
    "metadata": {
     "collapsed": false
    },
@@ -4443,22 +4451,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO | NEU\n",
-       " 90 |       M |  539 |  74 |  25\n",
-       " 90 |       F | 1477 | 136 |  54\n",
-       " 91 |       M |  499 |  49 |  15\n",
-       " 91 |       F | 1298 | 105 |  33\n",
-       " 92 |       M |  332 |  35 |  12\n",
-       " 92 |       F | 1141 |  78 |  28\n",
-       " 93 |       M |  287 |  27 |  11\n",
-       " 93 |       F |  906 |  74 |  37\n",
-       " 94 |       M |  237 |  23 |   5\n",
-       " 94 |       F |  739 |  65 |  21\n",
-       " 95 |       M |  154 |  19 |   7\n",
-       " 95 |       F |  566 |  53 |  19"
+       "age  sex\\nat    BE   FO  NEU\n",
+       " 90        M   539   74   25\n",
+       " 90        F  1477  136   54\n",
+       " 91        M   499   49   15\n",
+       " 91        F  1298  105   33\n",
+       " 92        M   332   35   12\n",
+       " 92        F  1141   78   28\n",
+       " 93        M   287   27   11\n",
+       " 93        F   906   74   37\n",
+       " 94        M   237   23    5\n",
+       " 94        F   739   65   21\n",
+       " 95        M   154   19    7\n",
+       " 95        F   566   53   19"
       ]
      },
-     "execution_count": 126,
+     "execution_count": 127,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4468,11 +4476,11 @@
     "pop_be, pop_fo = pop['BE'], pop['FO']\n",
     "\n",
     "# first way to stack them\n",
-    "nat = la.Axis('nat', ['BE', 'FO', 'NEU'])\n",
-    "pop = la.stack([pop_be, pop_fo, pop_non_eu], nat)\n",
+    "nat = Axis('nat=BE,FO,NEU')\n",
+    "pop = stack([pop_be, pop_fo, pop_non_eu], nat)\n",
     "\n",
     "# second way\n",
-    "pop = la.stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')\n",
+    "pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')\n",
     "\n",
     "pop"
    ]
@@ -4493,7 +4501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 128,
    "metadata": {
     "collapsed": false
    },
@@ -4501,22 +4509,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |   BE |  FO | NEU\n",
-       " 90 |       M |  539 |  74 |  25\n",
-       " 90 |       F | 1477 | 136 |  54\n",
-       " 91 |       M |  499 |  49 |  15\n",
-       " 91 |       F | 1298 | 105 |  33\n",
-       " 92 |       M |  332 |  35 |  12\n",
-       " 92 |       F | 1141 |  78 |  28\n",
-       " 93 |       M |  287 |  27 |  11\n",
-       " 93 |       F |  906 |  74 |  37\n",
-       " 94 |       M |  237 |  23 |   5\n",
-       " 94 |       F |  739 |  65 |  21\n",
-       " 95 |       M |  154 |  19 |   7\n",
-       " 95 |       F |  566 |  53 |  19"
+       "age  sex\\nat    BE   FO  NEU\n",
+       " 90        M   539   74   25\n",
+       " 90        F  1477  136   54\n",
+       " 91        M   499   49   15\n",
+       " 91        F  1298  105   33\n",
+       " 92        M   332   35   12\n",
+       " 92        F  1141   78   28\n",
+       " 93        M   287   27   11\n",
+       " 93        F   906   74   37\n",
+       " 94        M   237   23    5\n",
+       " 94        F   739   65   21\n",
+       " 95        M   154   19    7\n",
+       " 95        F   566   53   19"
       ]
      },
-     "execution_count": 127,
+     "execution_count": 128,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4535,7 +4543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 129,
    "metadata": {
     "collapsed": false
    },
@@ -4543,22 +4551,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO | NEU\n",
-       " 90 |       0 |  M |  M |   M\n",
-       " 90 |       1 |  F |  F |   F\n",
-       " 91 |       0 |  M |  M |   M\n",
-       " 91 |       1 |  F |  F |   F\n",
-       " 92 |       0 |  M |  M |   M\n",
-       " 92 |       1 |  F |  F |   F\n",
-       " 93 |       0 |  M |  M |   M\n",
-       " 93 |       1 |  F |  F |   F\n",
-       " 94 |       0 |  M |  M |   M\n",
-       " 94 |       1 |  F |  F |   F\n",
-       " 95 |       0 |  M |  M |   M\n",
-       " 95 |       1 |  F |  F |   F"
+       "age  sex\\nat  BE  FO  NEU\n",
+       " 90        0   M   M    M\n",
+       " 90        1   F   F    F\n",
+       " 91        0   M   M    M\n",
+       " 91        1   F   F    F\n",
+       " 92        0   M   M    M\n",
+       " 92        1   F   F    F\n",
+       " 93        0   M   M    M\n",
+       " 93        1   F   F    F\n",
+       " 94        0   M   M    M\n",
+       " 94        1   F   F    F\n",
+       " 95        0   M   M    M\n",
+       " 95        1   F   F    F"
       ]
      },
-     "execution_count": 128,
+     "execution_count": 129,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4576,7 +4584,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 130,
    "metadata": {
     "collapsed": false
    },
@@ -4584,22 +4592,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | NEU |  FO |   BE\n",
-       " 90 |       M |  25 |  74 |  539\n",
-       " 90 |       F |  54 | 136 | 1477\n",
-       " 91 |       M |  15 |  49 |  499\n",
-       " 91 |       F |  33 | 105 | 1298\n",
-       " 92 |       M |  12 |  35 |  332\n",
-       " 92 |       F |  28 |  78 | 1141\n",
-       " 93 |       M |  11 |  27 |  287\n",
-       " 93 |       F |  37 |  74 |  906\n",
-       " 94 |       M |   5 |  23 |  237\n",
-       " 94 |       F |  21 |  65 |  739\n",
-       " 95 |       M |   7 |  19 |  154\n",
-       " 95 |       F |  19 |  53 |  566"
+       "age  sex\\nat  NEU   FO    BE\n",
+       " 90        M   25   74   539\n",
+       " 90        F   54  136  1477\n",
+       " 91        M   15   49   499\n",
+       " 91        F   33  105  1298\n",
+       " 92        M   12   35   332\n",
+       " 92        F   28   78  1141\n",
+       " 93        M   11   27   287\n",
+       " 93        F   37   74   906\n",
+       " 94        M    5   23   237\n",
+       " 94        F   21   65   739\n",
+       " 95        M    7   19   154\n",
+       " 95        F   19   53   566"
       ]
      },
-     "execution_count": 129,
+     "execution_count": 130,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4624,7 +4632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 131,
    "metadata": {
     "collapsed": false
    },
@@ -4632,10 +4640,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x150ade3a588>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2896f0b1898>"
       ]
      },
-     "execution_count": 130,
+     "execution_count": 131,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -4643,7 +4651,7 @@
      "data": {
       "image/png": 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pQpj74+mFEEKIGis5OZnu3bvj6enJ9OnTyc/PZ/78+QQHB7Nt2zZatmxZ1DYzM5Pu3btT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FAI7r0XHn3U9ji99JJdj6Y5VVVtJTv7XCyriqysD0hJObnRfu8VFnLxhg1M6tKFucOG4Wrkxp9Y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\nFrpfx3+aP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g4lhmWwtWhrAxDZFbD/0ByagyFdhzQAkYyUjBa/ZFparK5m6dGj6ZogwW/j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\nCwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x150ade3a240>"
+       "<matplotlib.figure.Figure at 0x2896eeef2e8>"
       ]
      },
      "metadata": {},
@@ -4656,7 +4664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 132,
    "metadata": {
     "collapsed": false
    },
@@ -4664,10 +4672,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x150adb4e7f0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2896eed33c8>"
       ]
      },
-     "execution_count": 131,
+     "execution_count": 132,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -4675,7 +4683,7 @@
      "data": {
       "image/png": 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TbHEXRoETDsMwvgK+AlBKqX8odtkwjD9udkIp5Q5EAv0Nw/g+59hQYK9SKtAw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\nlefTfp8yOmE0j6x6hMNnDzP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YmldK8XzI88ztPpe5O+bS46MenM8q3DLyDzygt7RPStKr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\nHABAO4EDAGgncAAA7QQOAKCdwAEAtPsCqJHJtrxkqhcAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x150adfe2208>"
+       "<matplotlib.figure.Figure at 0x2896f03ecc0>"
       ]
      },
      "metadata": {},
@@ -4696,7 +4704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 133,
    "metadata": {
     "collapsed": false
    },
@@ -4704,29 +4712,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "102 |       M |  8 |  0\n",
-       "102 |       F | 26 |  1\n",
-       "103 |       M |  2 |  1\n",
-       "103 |       F | 17 |  2\n",
-       "104 |       M |  2 |  1\n",
-       "104 |       F | 14 |  0\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  2 |  2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "102        M   8   0\n",
+       "102        F  26   1\n",
+       "103        M   2   1\n",
+       "103        F  17   2\n",
+       "104        M   2   1\n",
+       "104        F  14   0\n",
+       "105        M   0   0\n",
+       "105        F   2   2"
       ]
      },
-     "execution_count": 132,
+     "execution_count": 133,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# starting array\n",
-    "pop = la.read_csv('pop.csv')[2016, 'BruCap', 100:105]\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
     "pop"
    ]
   },
@@ -4746,7 +4754,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 134,
    "metadata": {
     "collapsed": false
    },
@@ -4754,28 +4762,28 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 |  0\n",
-       "100 |       F | 60 |  3\n",
-       "100 |       B | 72 |  3\n",
-       "101 |       M | 12 |  2\n",
-       "101 |       F | 66 |  5\n",
-       "101 |       B | 78 |  7\n",
-       "102 |       M |  8 |  0\n",
-       "102 |       F | 26 |  1\n",
-       "102 |       B | 34 |  1\n",
-       "103 |       M |  2 |  1\n",
-       "103 |       F | 17 |  2\n",
-       "103 |       B | 19 |  3\n",
-       "104 |       M |  2 |  1\n",
-       "104 |       F | 14 |  0\n",
-       "104 |       B | 16 |  1\n",
-       "105 |       M |  0 |  0\n",
-       "105 |       F |  2 |  2\n",
-       "105 |       B |  2 |  2"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12   0\n",
+       "100        F  60   3\n",
+       "100        B  72   3\n",
+       "101        M  12   2\n",
+       "101        F  66   5\n",
+       "101        B  78   7\n",
+       "102        M   8   0\n",
+       "102        F  26   1\n",
+       "102        B  34   1\n",
+       "103        M   2   1\n",
+       "103        F  17   2\n",
+       "103        B  19   3\n",
+       "104        M   2   1\n",
+       "104        F  14   0\n",
+       "104        B  16   1\n",
+       "105        M   0   0\n",
+       "105        F   2   2\n",
+       "105        B   2   2"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 134,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4793,7 +4801,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 135,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -4802,31 +4810,31 @@
     {
      "data": {
       "text/plain": [
-       "  age | sex\\nat |  BE | FO | total\n",
-       "  100 |       M |  12 |  0 |    12\n",
-       "  100 |       F |  60 |  3 |    63\n",
-       "  100 |   total |  72 |  3 |    75\n",
-       "  101 |       M |  12 |  2 |    14\n",
-       "  101 |       F |  66 |  5 |    71\n",
-       "  101 |   total |  78 |  7 |    85\n",
-       "  102 |       M |   8 |  0 |     8\n",
-       "  102 |       F |  26 |  1 |    27\n",
-       "  102 |   total |  34 |  1 |    35\n",
-       "  103 |       M |   2 |  1 |     3\n",
-       "  103 |       F |  17 |  2 |    19\n",
-       "  103 |   total |  19 |  3 |    22\n",
-       "  104 |       M |   2 |  1 |     3\n",
-       "  104 |       F |  14 |  0 |    14\n",
-       "  104 |   total |  16 |  1 |    17\n",
-       "  105 |       M |   0 |  0 |     0\n",
-       "  105 |       F |   2 |  2 |     4\n",
-       "  105 |   total |   2 |  2 |     4\n",
-       "total |       M |  36 |  4 |    40\n",
-       "total |       F | 185 | 13 |   198\n",
-       "total |   total | 221 | 17 |   238"
+       "  age  sex\\nat   BE  FO  total\n",
+       "  100        M   12   0     12\n",
+       "  100        F   60   3     63\n",
+       "  100    total   72   3     75\n",
+       "  101        M   12   2     14\n",
+       "  101        F   66   5     71\n",
+       "  101    total   78   7     85\n",
+       "  102        M    8   0      8\n",
+       "  102        F   26   1     27\n",
+       "  102    total   34   1     35\n",
+       "  103        M    2   1      3\n",
+       "  103        F   17   2     19\n",
+       "  103    total   19   3     22\n",
+       "  104        M    2   1      3\n",
+       "  104        F   14   0     14\n",
+       "  104    total   16   1     17\n",
+       "  105        M    0   0      0\n",
+       "  105        F    2   2      4\n",
+       "  105    total    2   2      4\n",
+       "total        M   36   4     40\n",
+       "total        F  185  13    198\n",
+       "total    total  221  17    238"
       ]
      },
-     "execution_count": 134,
+     "execution_count": 135,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4852,7 +4860,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 136,
    "metadata": {
     "collapsed": false
    },
@@ -4860,29 +4868,29 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat |  BE | FO\n",
-       "100 |       M | -12 |  0\n",
-       "100 |       F | -60 |  0\n",
-       "101 |       M | -12 |  0\n",
-       "101 |       F | -66 |  0\n",
-       "102 |       M |   0 |  0\n",
-       "102 |       F | -26 |  0\n",
-       "103 |       M |   0 |  0\n",
-       "103 |       F | -17 |  0\n",
-       "104 |       M |   0 |  0\n",
-       "104 |       F | -14 |  0\n",
-       "105 |       M |   0 |  0\n",
-       "105 |       F |   0 |  0"
+       "age  sex\\nat   BE  FO\n",
+       "100        M  -12   0\n",
+       "100        F  -60   0\n",
+       "101        M  -12   0\n",
+       "101        F  -66   0\n",
+       "102        M    0   0\n",
+       "102        F  -26   0\n",
+       "103        M    0   0\n",
+       "103        F  -17   0\n",
+       "104        M    0   0\n",
+       "104        F  -14   0\n",
+       "105        M    0   0\n",
+       "105        F    0   0"
       ]
      },
-     "execution_count": 135,
+     "execution_count": 136,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# where(condition, value if true, value if false)\n",
-    "la.where(pop < 10, 0, -pop)"
+    "where(pop < 10, 0, -pop)"
    ]
   },
   {
@@ -4901,7 +4909,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 137,
    "metadata": {
     "collapsed": false
    },
@@ -4909,22 +4917,22 @@
     {
      "data": {
       "text/plain": [
-       "age | sex\\nat | BE | FO\n",
-       "100 |       M | 12 | 10\n",
-       "100 |       F | 50 | 10\n",
-       "101 |       M | 12 | 10\n",
-       "101 |       F | 50 | 10\n",
-       "102 |       M | 10 | 10\n",
-       "102 |       F | 26 | 10\n",
-       "103 |       M | 10 | 10\n",
-       "103 |       F | 17 | 10\n",
-       "104 |       M | 10 | 10\n",
-       "104 |       F | 14 | 10\n",
-       "105 |       M | 10 | 10\n",
-       "105 |       F | 10 | 10"
+       "age  sex\\nat  BE  FO\n",
+       "100        M  12  10\n",
+       "100        F  50  10\n",
+       "101        M  12  10\n",
+       "101        F  50  10\n",
+       "102        M  10  10\n",
+       "102        F  26  10\n",
+       "103        M  10  10\n",
+       "103        F  17  10\n",
+       "104        M  10  10\n",
+       "104        F  14  10\n",
+       "105        M  10  10\n",
+       "105        F  10  10"
       ]
      },
-     "execution_count": 136,
+     "execution_count": 137,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4951,34 +4959,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 138,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\ald\\Miniconda3\\lib\\site-packages\\larray\\core.py:7980: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  return LArray(super_method(self.data, other), res_axes)\n",
-      "C:\\Users\\ald\\Miniconda3\\lib\\site-packages\\larray\\core.py:7980: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return LArray(super_method(self.data, other), res_axes)\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "age\\sex |   M |    F\n",
-       "    100 | inf | 20.0\n",
-       "    101 | 6.0 | 13.2\n",
-       "    102 | inf | 26.0\n",
-       "    103 | 2.0 |  8.5\n",
-       "    104 | 2.0 |  inf\n",
-       "    105 | nan |  1.0"
+       "age\\sex    M     F\n",
+       "    100  inf  20.0\n",
+       "    101  6.0  13.2\n",
+       "    102  inf  26.0\n",
+       "    103  2.0   8.5\n",
+       "    104  2.0   inf\n",
+       "    105  nan   1.0"
       ]
      },
-     "execution_count": 137,
+     "execution_count": 138,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4989,7 +4987,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 139,
    "metadata": {
     "collapsed": false
    },
@@ -4997,16 +4995,16 @@
     {
      "data": {
       "text/plain": [
-       "age\\sex |   M |    F\n",
-       "    100 | 0.0 | 20.0\n",
-       "    101 | 6.0 | 13.2\n",
-       "    102 | 0.0 | 26.0\n",
-       "    103 | 2.0 |  8.5\n",
-       "    104 | 2.0 |  0.0\n",
-       "    105 | 0.0 |  1.0"
+       "age\\sex    M     F\n",
+       "    100  0.0  20.0\n",
+       "    101  6.0  13.2\n",
+       "    102  0.0  26.0\n",
+       "    103  2.0   8.5\n",
+       "    104  2.0   0.0\n",
+       "    105  0.0   1.0"
       ]
      },
-     "execution_count": 138,
+     "execution_count": 139,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5035,7 +5033,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 140,
    "metadata": {
     "collapsed": false
    },
@@ -5043,44 +5041,44 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |   BE |   FO\n",
-       "2005 |       M | 4289 | 1591\n",
-       "2005 |       F | 4661 | 1584\n",
-       "2006 |       M | 4335 | 1761\n",
-       "2006 |       F | 4781 | 1580\n",
-       "2007 |       M | 4291 | 1806\n",
-       "2007 |       F | 4719 | 1650\n",
-       "2008 |       M | 4349 | 1773\n",
-       "2008 |       F | 4731 | 1680\n",
-       "2009 |       M | 4429 | 2003\n",
-       "2009 |       F | 4824 | 1722\n",
-       "2010 |       M | 4582 | 2085\n",
-       "2010 |       F | 4869 | 1928\n",
-       "2011 |       M | 4677 | 2294\n",
-       "2011 |       F | 5015 | 2104\n",
-       "2012 |       M | 4463 | 2450\n",
-       "2012 |       F | 4722 | 2186\n",
-       "2013 |       M | 4610 | 2604\n",
-       "2013 |       F | 4711 | 2254\n",
-       "2014 |       M | 4725 | 2709\n",
-       "2014 |       F | 4788 | 2349\n",
-       "2015 |       M | 4841 | 2891\n",
-       "2015 |       F | 4813 | 2498"
+       "time  sex\\nat    BE    FO\n",
+       "2005        M  4289  1591\n",
+       "2005        F  4661  1584\n",
+       "2006        M  4335  1761\n",
+       "2006        F  4781  1580\n",
+       "2007        M  4291  1806\n",
+       "2007        F  4719  1650\n",
+       "2008        M  4349  1773\n",
+       "2008        F  4731  1680\n",
+       "2009        M  4429  2003\n",
+       "2009        F  4824  1722\n",
+       "2010        M  4582  2085\n",
+       "2010        F  4869  1928\n",
+       "2011        M  4677  2294\n",
+       "2011        F  5015  2104\n",
+       "2012        M  4463  2450\n",
+       "2012        F  4722  2186\n",
+       "2013        M  4610  2604\n",
+       "2013        F  4711  2254\n",
+       "2014        M  4725  2709\n",
+       "2014        F  4788  2349\n",
+       "2015        M  4841  2891\n",
+       "2015        F  4813  2498"
       ]
      },
-     "execution_count": 139,
+     "execution_count": 140,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pop = la.read_csv('pop.csv')[2005:2015, 'BruCap', 50]\n",
+    "pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]\n",
     "pop"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 141,
    "metadata": {
     "collapsed": false
    },
@@ -5088,30 +5086,30 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |   BE |  FO\n",
-       "2006 |       M |   46 | 170\n",
-       "2006 |       F |  120 |  -4\n",
-       "2007 |       M |  -44 |  45\n",
-       "2007 |       F |  -62 |  70\n",
-       "2008 |       M |   58 | -33\n",
-       "2008 |       F |   12 |  30\n",
-       "2009 |       M |   80 | 230\n",
-       "2009 |       F |   93 |  42\n",
-       "2010 |       M |  153 |  82\n",
-       "2010 |       F |   45 | 206\n",
-       "2011 |       M |   95 | 209\n",
-       "2011 |       F |  146 | 176\n",
-       "2012 |       M | -214 | 156\n",
-       "2012 |       F | -293 |  82\n",
-       "2013 |       M |  147 | 154\n",
-       "2013 |       F |  -11 |  68\n",
-       "2014 |       M |  115 | 105\n",
-       "2014 |       F |   77 |  95\n",
-       "2015 |       M |  116 | 182\n",
-       "2015 |       F |   25 | 149"
+       "time  sex\\nat    BE   FO\n",
+       "2006        M    46  170\n",
+       "2006        F   120   -4\n",
+       "2007        M   -44   45\n",
+       "2007        F   -62   70\n",
+       "2008        M    58  -33\n",
+       "2008        F    12   30\n",
+       "2009        M    80  230\n",
+       "2009        F    93   42\n",
+       "2010        M   153   82\n",
+       "2010        F    45  206\n",
+       "2011        M    95  209\n",
+       "2011        F   146  176\n",
+       "2012        M  -214  156\n",
+       "2012        F  -293   82\n",
+       "2013        M   147  154\n",
+       "2013        F   -11   68\n",
+       "2014        M   115  105\n",
+       "2014        F    77   95\n",
+       "2015        M   116  182\n",
+       "2015        F    25  149"
       ]
      },
-     "execution_count": 140,
+     "execution_count": 141,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5123,7 +5121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 142,
    "metadata": {
     "collapsed": false
    },
@@ -5131,28 +5129,28 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |   BE |  FO\n",
-       "2007 |       M |    2 | 215\n",
-       "2007 |       F |   58 |  66\n",
-       "2008 |       M |   14 |  12\n",
-       "2008 |       F |  -50 | 100\n",
-       "2009 |       M |  138 | 197\n",
-       "2009 |       F |  105 |  72\n",
-       "2010 |       M |  233 | 312\n",
-       "2010 |       F |  138 | 248\n",
-       "2011 |       M |  248 | 291\n",
-       "2011 |       F |  191 | 382\n",
-       "2012 |       M | -119 | 365\n",
-       "2012 |       F | -147 | 258\n",
-       "2013 |       M |  -67 | 310\n",
-       "2013 |       F | -304 | 150\n",
-       "2014 |       M |  262 | 259\n",
-       "2014 |       F |   66 | 163\n",
-       "2015 |       M |  231 | 287\n",
-       "2015 |       F |  102 | 244"
+       "time  sex\\nat    BE   FO\n",
+       "2007        M     2  215\n",
+       "2007        F    58   66\n",
+       "2008        M    14   12\n",
+       "2008        F   -50  100\n",
+       "2009        M   138  197\n",
+       "2009        F   105   72\n",
+       "2010        M   233  312\n",
+       "2010        F   138  248\n",
+       "2011        M   248  291\n",
+       "2011        F   191  382\n",
+       "2012        M  -119  365\n",
+       "2012        F  -147  258\n",
+       "2013        M   -67  310\n",
+       "2013        F  -304  150\n",
+       "2014        M   262  259\n",
+       "2014        F    66  163\n",
+       "2015        M   231  287\n",
+       "2015        F   102  244"
       ]
      },
-     "execution_count": 141,
+     "execution_count": 142,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5171,7 +5169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 143,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -5180,32 +5178,32 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |                 BE |                  FO\n",
-       "2005 |       M |  0.729421768707483 |   0.270578231292517\n",
-       "2005 |       F | 0.7463570856685349 |  0.2536429143314652\n",
-       "2006 |       M | 0.7111220472440944 |  0.2888779527559055\n",
-       "2006 |       F | 0.7516113818581984 |  0.2483886181418016\n",
-       "2007 |       M |  0.703788748564868 | 0.29621125143513205\n",
-       "2007 |       F | 0.7409326424870466 | 0.25906735751295334\n",
-       "2008 |       M | 0.7103887618425351 | 0.28961123815746487\n",
-       "2008 |       F | 0.7379503977538605 | 0.26204960224613943\n",
-       "2009 |       M | 0.6885883084577115 | 0.31141169154228854\n",
-       "2009 |       F | 0.7369385884509624 | 0.26306141154903756\n",
-       "2010 |       M | 0.6872656367181641 |  0.3127343632818359\n",
-       "2010 |       F | 0.7163454465205238 |  0.2836545534794762\n",
-       "2011 |       M | 0.6709223927700474 | 0.32907760722995266\n",
-       "2011 |       F | 0.7044528725944655 | 0.29554712740553446\n",
-       "2012 |       M | 0.6455952553160712 | 0.35440474468392885\n",
-       "2012 |       F | 0.6835552982049797 | 0.31644470179502027\n",
-       "2013 |       M | 0.6390352093152204 |  0.3609647906847796\n",
-       "2013 |       F | 0.6763819095477387 |  0.3236180904522613\n",
-       "2014 |       M |  0.635593220338983 |  0.3644067796610169\n",
-       "2014 |       F | 0.6708701134930644 |  0.3291298865069357\n",
-       "2015 |       M | 0.6260993274702535 |  0.3739006725297465\n",
-       "2015 |       F | 0.6583230748187663 | 0.34167692518123377"
+       "time  sex\\nat                  BE                   FO\n",
+       "2005        M   0.729421768707483    0.270578231292517\n",
+       "2005        F  0.7463570856685349   0.2536429143314652\n",
+       "2006        M  0.7111220472440944   0.2888779527559055\n",
+       "2006        F  0.7516113818581984   0.2483886181418016\n",
+       "2007        M   0.703788748564868  0.29621125143513205\n",
+       "2007        F  0.7409326424870466  0.25906735751295334\n",
+       "2008        M  0.7103887618425351  0.28961123815746487\n",
+       "2008        F  0.7379503977538605  0.26204960224613943\n",
+       "2009        M  0.6885883084577115  0.31141169154228854\n",
+       "2009        F  0.7369385884509624  0.26306141154903756\n",
+       "2010        M  0.6872656367181641   0.3127343632818359\n",
+       "2010        F  0.7163454465205238   0.2836545534794762\n",
+       "2011        M  0.6709223927700474  0.32907760722995266\n",
+       "2011        F  0.7044528725944655  0.29554712740553446\n",
+       "2012        M  0.6455952553160712  0.35440474468392885\n",
+       "2012        F  0.6835552982049797  0.31644470179502027\n",
+       "2013        M  0.6390352093152204   0.3609647906847796\n",
+       "2013        F  0.6763819095477387   0.3236180904522613\n",
+       "2014        M   0.635593220338983   0.3644067796610169\n",
+       "2014        F  0.6708701134930644   0.3291298865069357\n",
+       "2015        M  0.6260993274702535   0.3739006725297465\n",
+       "2015        F  0.6583230748187663  0.34167692518123377"
       ]
      },
-     "execution_count": 142,
+     "execution_count": 143,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5226,7 +5224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 144,
    "metadata": {
     "collapsed": false,
     "scrolled": true
@@ -5235,32 +5233,32 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |                 BE |                 FO\n",
-       "2005 |       M |   72.9421768707483 |   27.0578231292517\n",
-       "2005 |       F |  74.63570856685348 | 25.364291433146516\n",
-       "2006 |       M |  71.11220472440945 | 28.887795275590552\n",
-       "2006 |       F |  75.16113818581984 |  24.83886181418016\n",
-       "2007 |       M |   70.3788748564868 | 29.621125143513204\n",
-       "2007 |       F |  74.09326424870466 | 25.906735751295336\n",
-       "2008 |       M |  71.03887618425351 |  28.96112381574649\n",
-       "2008 |       F |  73.79503977538606 | 26.204960224613945\n",
-       "2009 |       M |  68.85883084577114 | 31.141169154228855\n",
-       "2009 |       F |  73.69385884509624 |  26.30614115490376\n",
-       "2010 |       M |  68.72656367181641 | 31.273436328183593\n",
-       "2010 |       F |  71.63454465205237 | 28.365455347947623\n",
-       "2011 |       M |  67.09223927700474 |  32.90776072299526\n",
-       "2011 |       F |  70.44528725944654 | 29.554712740553448\n",
-       "2012 |       M |  64.55952553160712 | 35.440474468392885\n",
-       "2012 |       F |  68.35552982049798 | 31.644470179502026\n",
-       "2013 |       M |  63.90352093152204 |  36.09647906847796\n",
-       "2013 |       F |  67.63819095477388 |  32.36180904522613\n",
-       "2014 |       M | 63.559322033898304 | 36.440677966101696\n",
-       "2014 |       F |  67.08701134930644 |  32.91298865069357\n",
-       "2015 |       M |  62.60993274702535 |  37.39006725297465\n",
-       "2015 |       F |  65.83230748187663 | 34.167692518123374"
+       "time  sex\\nat                  BE                  FO\n",
+       "2005        M    72.9421768707483    27.0578231292517\n",
+       "2005        F   74.63570856685348  25.364291433146516\n",
+       "2006        M   71.11220472440945  28.887795275590552\n",
+       "2006        F   75.16113818581984   24.83886181418016\n",
+       "2007        M    70.3788748564868  29.621125143513204\n",
+       "2007        F   74.09326424870466  25.906735751295336\n",
+       "2008        M   71.03887618425351   28.96112381574649\n",
+       "2008        F   73.79503977538606  26.204960224613945\n",
+       "2009        M   68.85883084577114  31.141169154228855\n",
+       "2009        F   73.69385884509624   26.30614115490376\n",
+       "2010        M   68.72656367181641  31.273436328183593\n",
+       "2010        F   71.63454465205237  28.365455347947623\n",
+       "2011        M   67.09223927700474   32.90776072299526\n",
+       "2011        F   70.44528725944654  29.554712740553448\n",
+       "2012        M   64.55952553160712  35.440474468392885\n",
+       "2012        F   68.35552982049798  31.644470179502026\n",
+       "2013        M   63.90352093152204   36.09647906847796\n",
+       "2013        F   67.63819095477388   32.36180904522613\n",
+       "2014        M  63.559322033898304  36.440677966101696\n",
+       "2014        F   67.08701134930644   32.91298865069357\n",
+       "2015        M   62.60993274702535   37.39006725297465\n",
+       "2015        F   65.83230748187663  34.167692518123374"
       ]
      },
-     "execution_count": 143,
+     "execution_count": 144,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5288,7 +5286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 145,
    "metadata": {
     "collapsed": false
    },
@@ -5296,30 +5294,30 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |                    BE |                     FO\n",
-       "2006 |       M |  0.010725110748426206 |    0.10685103708359522\n",
-       "2006 |       F |  0.025745548165629694 | -0.0025252525252525255\n",
-       "2007 |       M | -0.010149942329873126 |    0.02555366269165247\n",
-       "2007 |       F | -0.012967998326709893 |    0.04430379746835443\n",
-       "2008 |       M |  0.013516662782568165 |  -0.018272425249169437\n",
-       "2008 |       F | 0.0025429116338207248 |    0.01818181818181818\n",
-       "2009 |       M |   0.01839503334099793 |    0.12972363226170333\n",
-       "2009 |       F |  0.019657577679137603 |                  0.025\n",
-       "2010 |       M |   0.03454504402799729 |   0.040938592111832255\n",
-       "2010 |       F |  0.009328358208955223 |    0.11962833914053426\n",
-       "2011 |       M |   0.02073330423395897 |    0.10023980815347722\n",
-       "2011 |       F |  0.029985623331279524 |     0.0912863070539419\n",
-       "2012 |       M |  -0.04575582638443447 |    0.06800348735832606\n",
-       "2012 |       F |   -0.0584247258225324 |    0.03897338403041825\n",
-       "2013 |       M |   0.03293748599596684 |    0.06285714285714286\n",
-       "2013 |       F | -0.002329521389241847 |    0.03110704483074108\n",
-       "2014 |       M |  0.024945770065075923 |    0.04032258064516129\n",
-       "2014 |       F |   0.01634472511144131 |    0.04214729370008873\n",
-       "2015 |       M |   0.02455026455026455 |    0.06718346253229975\n",
-       "2015 |       F | 0.0052213868003341685 |    0.06343124733929331"
+       "time  sex\\nat                     BE                      FO\n",
+       "2006        M   0.010725110748426206     0.10685103708359522\n",
+       "2006        F   0.025745548165629694  -0.0025252525252525255\n",
+       "2007        M  -0.010149942329873126     0.02555366269165247\n",
+       "2007        F  -0.012967998326709893     0.04430379746835443\n",
+       "2008        M   0.013516662782568165   -0.018272425249169437\n",
+       "2008        F  0.0025429116338207248     0.01818181818181818\n",
+       "2009        M    0.01839503334099793     0.12972363226170333\n",
+       "2009        F   0.019657577679137603                   0.025\n",
+       "2010        M    0.03454504402799729    0.040938592111832255\n",
+       "2010        F   0.009328358208955223     0.11962833914053426\n",
+       "2011        M    0.02073330423395897     0.10023980815347722\n",
+       "2011        F   0.029985623331279524      0.0912863070539419\n",
+       "2012        M   -0.04575582638443447     0.06800348735832606\n",
+       "2012        F    -0.0584247258225324     0.03897338403041825\n",
+       "2013        M    0.03293748599596684     0.06285714285714286\n",
+       "2013        F  -0.002329521389241847     0.03110704483074108\n",
+       "2014        M   0.024945770065075923     0.04032258064516129\n",
+       "2014        F    0.01634472511144131     0.04214729370008873\n",
+       "2015        M    0.02455026455026455     0.06718346253229975\n",
+       "2015        F  0.0052213868003341685     0.06343124733929331"
       ]
      },
-     "execution_count": 144,
+     "execution_count": 145,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5344,7 +5342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 146,
    "metadata": {
     "collapsed": false
    },
@@ -5352,30 +5350,30 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |   BE |   FO\n",
-       "2006 |       M | 4289 | 1591\n",
-       "2006 |       F | 4661 | 1584\n",
-       "2007 |       M | 4335 | 1761\n",
-       "2007 |       F | 4781 | 1580\n",
-       "2008 |       M | 4291 | 1806\n",
-       "2008 |       F | 4719 | 1650\n",
-       "2009 |       M | 4349 | 1773\n",
-       "2009 |       F | 4731 | 1680\n",
-       "2010 |       M | 4429 | 2003\n",
-       "2010 |       F | 4824 | 1722\n",
-       "2011 |       M | 4582 | 2085\n",
-       "2011 |       F | 4869 | 1928\n",
-       "2012 |       M | 4677 | 2294\n",
-       "2012 |       F | 5015 | 2104\n",
-       "2013 |       M | 4463 | 2450\n",
-       "2013 |       F | 4722 | 2186\n",
-       "2014 |       M | 4610 | 2604\n",
-       "2014 |       F | 4711 | 2254\n",
-       "2015 |       M | 4725 | 2709\n",
-       "2015 |       F | 4788 | 2349"
+       "time  sex\\nat    BE    FO\n",
+       "2006        M  4289  1591\n",
+       "2006        F  4661  1584\n",
+       "2007        M  4335  1761\n",
+       "2007        F  4781  1580\n",
+       "2008        M  4291  1806\n",
+       "2008        F  4719  1650\n",
+       "2009        M  4349  1773\n",
+       "2009        F  4731  1680\n",
+       "2010        M  4429  2003\n",
+       "2010        F  4824  1722\n",
+       "2011        M  4582  2085\n",
+       "2011        F  4869  1928\n",
+       "2012        M  4677  2294\n",
+       "2012        F  5015  2104\n",
+       "2013        M  4463  2450\n",
+       "2013        F  4722  2186\n",
+       "2014        M  4610  2604\n",
+       "2014        F  4711  2254\n",
+       "2015        M  4725  2709\n",
+       "2015        F  4788  2349"
       ]
      },
-     "execution_count": 145,
+     "execution_count": 146,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5386,7 +5384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 147,
    "metadata": {
     "collapsed": false
    },
@@ -5394,30 +5392,30 @@
     {
      "data": {
       "text/plain": [
-       "time* | sex\\nat |   BE |   FO\n",
-       "    0 |       M | True | True\n",
-       "    0 |       F | True | True\n",
-       "    1 |       M | True | True\n",
-       "    1 |       F | True | True\n",
-       "    2 |       M | True | True\n",
-       "    2 |       F | True | True\n",
-       "    3 |       M | True | True\n",
-       "    3 |       F | True | True\n",
-       "    4 |       M | True | True\n",
-       "    4 |       F | True | True\n",
-       "    5 |       M | True | True\n",
-       "    5 |       F | True | True\n",
-       "    6 |       M | True | True\n",
-       "    6 |       F | True | True\n",
-       "    7 |       M | True | True\n",
-       "    7 |       F | True | True\n",
-       "    8 |       M | True | True\n",
-       "    8 |       F | True | True\n",
-       "    9 |       M | True | True\n",
-       "    9 |       F | True | True"
+       "time*  sex\\nat    BE    FO\n",
+       "    0        M  True  True\n",
+       "    0        F  True  True\n",
+       "    1        M  True  True\n",
+       "    1        F  True  True\n",
+       "    2        M  True  True\n",
+       "    2        F  True  True\n",
+       "    3        M  True  True\n",
+       "    3        F  True  True\n",
+       "    4        M  True  True\n",
+       "    4        F  True  True\n",
+       "    5        M  True  True\n",
+       "    5        F  True  True\n",
+       "    6        M  True  True\n",
+       "    6        F  True  True\n",
+       "    7        M  True  True\n",
+       "    7        F  True  True\n",
+       "    8        M  True  True\n",
+       "    8        F  True  True\n",
+       "    9        M  True  True\n",
+       "    9        F  True  True"
       ]
      },
-     "execution_count": 146,
+     "execution_count": 147,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5429,7 +5427,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 148,
    "metadata": {
     "collapsed": false
    },
@@ -5437,30 +5435,30 @@
     {
      "data": {
       "text/plain": [
-       "time | sex\\nat |   BE |  FO\n",
-       "2006 |       M |   46 | 170\n",
-       "2006 |       F |  120 |  -4\n",
-       "2007 |       M |  -44 |  45\n",
-       "2007 |       F |  -62 |  70\n",
-       "2008 |       M |   58 | -33\n",
-       "2008 |       F |   12 |  30\n",
-       "2009 |       M |   80 | 230\n",
-       "2009 |       F |   93 |  42\n",
-       "2010 |       M |  153 |  82\n",
-       "2010 |       F |   45 | 206\n",
-       "2011 |       M |   95 | 209\n",
-       "2011 |       F |  146 | 176\n",
-       "2012 |       M | -214 | 156\n",
-       "2012 |       F | -293 |  82\n",
-       "2013 |       M |  147 | 154\n",
-       "2013 |       F |  -11 |  68\n",
-       "2014 |       M |  115 | 105\n",
-       "2014 |       F |   77 |  95\n",
-       "2015 |       M |  116 | 182\n",
-       "2015 |       F |   25 | 149"
+       "time  sex\\nat    BE   FO\n",
+       "2006        M    46  170\n",
+       "2006        F   120   -4\n",
+       "2007        M   -44   45\n",
+       "2007        F   -62   70\n",
+       "2008        M    58  -33\n",
+       "2008        F    12   30\n",
+       "2009        M    80  230\n",
+       "2009        F    93   42\n",
+       "2010        M   153   82\n",
+       "2010        F    45  206\n",
+       "2011        M    95  209\n",
+       "2011        F   146  176\n",
+       "2012        M  -214  156\n",
+       "2012        F  -293   82\n",
+       "2013        M   147  154\n",
+       "2013        F   -11   68\n",
+       "2014        M   115  105\n",
+       "2014        F    77   95\n",
+       "2015        M   116  182\n",
+       "2015        F    25  149"
       ]
      },
-     "execution_count": 147,
+     "execution_count": 148,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5507,7 +5505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 149,
    "metadata": {
     "collapsed": false
    },
@@ -5515,25 +5513,23 @@
     {
      "data": {
       "text/plain": [
-       "Session(household, pop, mortality)"
+       "Session(arr1, arr2, arr3)"
       ]
      },
-     "execution_count": 148,
+     "execution_count": 149,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# load several arrays\n",
-    "household = la.read_csv('hh.csv')\n",
-    "pop = la.read_csv('pop.csv')\n",
-    "mortality = la.read_csv('qx.csv')\n",
+    "arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))\n",
     "\n",
     "# create and populate a 'session'\n",
-    "s1 = la.Session()\n",
-    "s1.household = household\n",
-    "s1.pop = pop\n",
-    "s1.mortality = mortality\n",
+    "s1 = Session()\n",
+    "s1.arr1 = arr1\n",
+    "s1.arr2 = arr2\n",
+    "s1.arr3 = arr3\n",
     "\n",
     "s1"
    ]
@@ -5547,31 +5543,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 150,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
-    "s1.dump('test.xlsx')"
+    "s1.save('test.xlsx')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 151,
    "metadata": {
     "collapsed": true
    },
    "outputs": [],
    "source": [
     "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
-    "s1.dump('test.h5')"
+    "s1.save('test.h5')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 152,
    "metadata": {
     "collapsed": false
    },
@@ -5579,23 +5575,23 @@
     {
      "data": {
       "text/plain": [
-       "Session(pop, household, mortality)"
+       "Session(arr1, arr2, arr3)"
       ]
      },
-     "execution_count": 151,
+     "execution_count": 152,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# this creates a session out of all arrays in the .h5 file\n",
-    "s2 = la.Session('test.h5')\n",
+    "s2 = Session('test.h5')\n",
     "s2"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 153,
    "metadata": {
     "collapsed": false
    },
@@ -5611,7 +5607,7 @@
    "source": [
     "# the excel version does not work currently (axes are not detected properly)\n",
     "with ExCtx():\n",
-    "    s3 = la.Session('test.xlsx')"
+    "    s3 = Session('test.xlsx')"
    ]
   },
   {
@@ -5623,7 +5619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 154,
    "metadata": {
     "collapsed": false
    },
@@ -5631,11 +5627,11 @@
     {
      "data": {
       "text/plain": [
-       "name | household |  pop | mortality\n",
-       "     |      True | True |      True"
+       "name  arr1  arr2  arr3\n",
+       "      True  True  True"
       ]
      },
-     "execution_count": 153,
+     "execution_count": 154,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5646,19 +5642,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 155,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "# let us introduce a difference (a variant, or a mistake perhaps)\n",
-    "s2.pop['F', 2010:] = 0"
+    "s2.arr1['a0', 'b1':] = 0"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 156,
    "metadata": {
     "collapsed": false
    },
@@ -5666,11 +5662,11 @@
     {
      "data": {
       "text/plain": [
-       "name | household |   pop | mortality\n",
-       "     |      True | False |      True"
+       "name   arr1  arr2  arr3\n",
+       "      False  True  True"
       ]
      },
-     "execution_count": 155,
+     "execution_count": 156,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5681,7 +5677,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 157,
    "metadata": {
     "collapsed": false
    },
@@ -5689,10 +5685,10 @@
     {
      "data": {
       "text/plain": [
-       "Session(pop)"
+       "Session(arr1)"
       ]
      },
-     "execution_count": 156,
+     "execution_count": 157,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5704,7 +5700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 158,
    "metadata": {
     "collapsed": false
    },
@@ -5712,10 +5708,10 @@
     {
      "data": {
       "text/plain": [
-       "Session(pop)"
+       "Session(arr1)"
       ]
      },
-     "execution_count": 157,
+     "execution_count": 158,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5734,13 +5730,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 159,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
-    "la.compare(s1_diff.pop, s2_diff.pop)"
+    "compare(s1_diff.arr1, s2_diff.arr1)"
    ]
   }
  ],

From 2f966c5d1be20950a26fcf3e9338c5dc87b34a67 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=3F=C3=82=C2=ABtan=20de=20Menten?=
 <gdementen@gmail.com>
Date: Tue, 30 May 2017 10:10:24 +0200
Subject: [PATCH 610/899] implemented _ipython_key_completions_ for Axis,
 AxisCollection, Group and Workbook objects

---
 doc/source/changes.rst                  |  8 +++++++
 doc/source/changes/version_0_24.rst.inc | 32 +++++++++++++++++++++++++
 larray/core/axis.py                     |  6 +++++
 larray/core/group.py                    |  3 +++
 larray/io/excel.py                      |  5 +++-
 5 files changed, 53 insertions(+), 1 deletion(-)
 create mode 100644 doc/source/changes/version_0_24.rst.inc

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5e5a850b6..32a398c2b 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.24
+============
+
+In development
+
+.. include:: ./changes/version_0_24.rst.inc
+
+
 Version 0.23
 ============
 
diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
new file mode 100644
index 000000000..766a848ab
--- /dev/null
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -0,0 +1,32 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved auto-completion in ipython interactive consoles (e.g. the viewer console) for Axis, AxisCollection, Group
+  and Workbook objects. These objects can now complete keys within [].
+
+    >>> gender = Axis('gender=Male,Female')
+    >>> gender
+    Axis(['Male', 'Female'], 'gender')
+    gender['Female
+    >>> gender['Fe<tab>  # will be completed to `gender['Female`
+
+    >>> arr = ndrange(gender)
+    >>> arr.axes['gen<tab>  # will be completed to `arr.axes['gender`
+
+    >>> wb = open_excel()
+    >>> wb['Sh<tab>  # will be completed to `wb['Sheet1`
+
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
diff --git a/larray/core/axis.py b/larray/core/axis.py
index f983e511d..412039683 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -579,6 +579,9 @@ def isscalar(k):
         name = key.name if isinstance(key, Group) else None
         return LGroup(key, name, self)
 
+    def _ipython_key_completions_(self):
+        return list(self.labels)
+
     def __contains__(self, key):
         return _to_tick(key) in self._mapping
 
@@ -1158,6 +1161,9 @@ def __getitem__(self, key):
             else:
                 raise KeyError("axis '%s' not found in %s" % (key, self))
 
+    def _ipython_key_completions_(self):
+        return list(self._map.keys())
+
     # XXX: I wonder if this whole positional crap should really be part of
     # AxisCollection or the default behavior. It could either be moved to
     # make_numpy_broadcastable or made non default
diff --git a/larray/core/group.py b/larray/core/group.py
index 655eedac1..dd40f04c0 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -973,6 +973,9 @@ def __getitem__(self, key):
             raise TypeError("cannot take a subset of {} because it has a "
                             "'{}' key".format(self.key, type(self.key)))
 
+    def _ipython_key_completions_(self):
+        return list(self.eval())
+
     # method factory
     def _binop(opname):
         op_fullname = '__%s__' % opname
diff --git a/larray/io/excel.py b/larray/io/excel.py
index cc733d477..615b1aebb 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -170,6 +170,9 @@ def __contains__(self, key):
                 # for sheet names (it works with Sheet objects I think)
                 return key in self.sheet_names()
 
+        def _ipython_key_completions_(self):
+            return list(self.sheet_names())
+
         def __getitem__(self, key):
             if key in self:
                 return Sheet(self, key)
@@ -523,4 +526,4 @@ def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, a
  a0   0   1   2
  a1   3   4   5
  a2   6   7   8
-"""
\ No newline at end of file
+"""

From 9da3004ea088002d74f545cc21ed5b6d5063b2aa Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 30 May 2017 16:13:58 +0200
Subject: [PATCH 611/899] fixed bug in ndtest: title was not propagated to the
 returned array

---
 larray/core/array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index dc4633ee8..31b7a8659 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -7100,7 +7100,7 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
                     for length in a.shape]
     new_axes = [Axis([name + str(i) for i in label_range], name)
                 for name, label_range in zip(axes_names, label_ranges)]
-    return LArray(a.data, new_axes)
+    return a.set_axes(new_axes)
 
 
 def kth_diag_indices(shape, k):

From 1d4554eb17a11d62ebf0c841a83592e98a76a81b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 24 May 2017 16:54:12 +0200
Subject: [PATCH 612/899] fix #277 : added doctests to Session's methods.

---
 larray/core/session.py | 304 +++++++++++++++++++++++++++++++++++++++--
 1 file changed, 295 insertions(+), 9 deletions(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index 9b6ef2b13..6fd80c386 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -1,3 +1,4 @@
+# -*- coding: utf-8 -*-
 from __future__ import absolute_import, division, print_function
 
 import os
@@ -8,7 +9,7 @@
 import numpy as np
 
 from larray.core.axis import Axis
-from larray.core.array import LArray, larray_nan_equal, get_axes
+from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, create_sequential
 from larray.util.misc import float_error_handler_factory
 from larray.io.session import check_pattern, handler_classes, ext_default_engine
 
@@ -24,6 +25,26 @@ class Session(object):
         Name of file to load or dictionary containing couples (name, array).
     kwargs : dict of str, array
         List of arrays to add written as 'name'=array, ...
+        
+    Examples
+    --------
+    >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+    
+    create a Session by passing a list of pairs (name, array) 
+    
+    >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
+    
+    create a Session using keyword arguments (but you lose order on Python < 3.6)
+    
+    >>> s = Session(arr1=arr1, arr2=arr2, arr3=arr3)
+    
+    create a Session by passing a dictionary (but you lose order on Python < 3.6)
+    
+    >>> s = Session({'arr1': arr1, 'arr2': arr2, 'arr3': arr3})
+    
+    load Session from file
+    
+    >>> s = Session('my_session.h5')  # doctest: +SKIP
     """
     def __init__(self, *args, **kwargs):
         object.__setattr__(self, '_objects', OrderedDict())
@@ -47,14 +68,24 @@ def __iter__(self):
 
     def add(self, *args, **kwargs):
         """
-        Adds array objects to the current session.
+        Adds objects to the current session.
 
         Parameters
         ----------
         args : array
-            List of arrays to add.
+            List of objects to add. Objects must have an attribute 'name'.
         kwargs : dict of str, array
-            List of arrays to add written as 'name'=array, ...
+            List of objects to add written as 'name'=array, ...
+            
+        Examples
+        --------
+        >>> s = Session()
+        >>> axis1, axis2 = Axis('x=x0..x2'), Axis('y=y0..y2')
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s.add(axis1, axis2, arr1=arr1, arr2=arr2, arr3=arr3)
+        >>> # print item's names in sorted order
+        >>> s.names
+        ['arr1', 'arr2', 'arr3', 'x', 'y']
         """
         for arg in args:
             self[arg.name] = arg
@@ -98,6 +129,21 @@ def get(self, key, default=None):
         LArray
             Array corresponding to the given key or
             a default one if not found.
+            
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)]) 
+        >>> arr = s.get('arr1')          
+        >>> arr                         
+        a\\b  b0  b1
+         a0   0   1
+         a1   2   3
+        >>> arr = s.get('arr4', zeros('a=a0,a1;b=b0,b1', dtype=int))
+        >>> arr
+        a\\b  b0  b1
+         a0   0   0
+         a1   0   0
         """
         try:
             return self[key]
@@ -154,6 +200,22 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         display : bool, optional
             whether or not to display which file is being worked on. Defaults
             to False.
+            
+        Examples
+        --------
+        In one module 
+        
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))  # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)]) # doctest: +SKIP
+        >>> s.save('input.h5')  # doctest: +SKIP
+        
+        In another module
+        
+        >>> s = Session()                                 # doctest: +SKIP
+        >>> s.load('input.h5', ['arr1', 'arr2', 'arr3'])  # doctest: +SKIP
+        >>> arr1, arr2, arr3 = s['arr1', 'arr2', 'arr3']  # doctest: +SKIP
+        >>> # only if you know the order of arrays stored in session
+        >>> arr1, arr2, arr3 = s.values()                 # doctest: +SKIP
         """
         if display:
             print("opening", fname)
@@ -189,6 +251,19 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults
             to False.
+            
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        
+        Save all arrays
+        
+        >>> s.save('output.h5')  # doctest: +SKIP
+        
+        Save only some arrays
+        
+        >>> s.save('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
@@ -216,6 +291,19 @@ def to_pickle(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+            
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        
+        Save all arrays
+        
+        >>> s.to_pickle('output.pkl')  # doctest: +SKIP
+        
+        Save only some arrays
+        
+        >>> s.to_pickle('output.pkl', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['pkl'], *args, **kwargs)
 
@@ -234,6 +322,19 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+        
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        
+        Save all arrays
+        
+        >>> s.to_hdf('output.h5')  # doctest: +SKIP
+        
+        Save only some arrays
+        
+        >>> s.to_hdf('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
 
@@ -252,6 +353,19 @@ def to_excel(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+            
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        
+        Save all arrays
+        
+        >>> s.to_excel('output.xlsx')  # doctest: +SKIP
+        
+        Save only some arrays
+        
+        >>> s.to_excel('output.xlsx', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
 
@@ -261,15 +375,28 @@ def dump_excel(self, fname, names=None, *args, **kwargs):
 
     def to_csv(self, fname, names=None, *args, **kwargs):
         """
-        Dumps all array objects from the current session to a CSV file.
+        Dumps all array objects from the current session to CSV files.
 
         Parameters
         ----------
         fname : str
-            Path for the dump.
+            Path for the directory that will contain CSV files.
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+            
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        
+        Save all arrays
+        
+        >>> s.to_csv('./Output')  # doctest: +SKIP
+        
+        Save only some arrays
+        
+        >>> s.to_csv('./Output', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
 
@@ -292,6 +419,22 @@ def filter(self, pattern=None, kind=None):
         -------
         Session
             The filtered session.
+            
+        Examples
+        --------
+        >>> axis = Axis('a=a0..a2')
+        >>> test1, test2, zero1 = ndtest((2, 2)), ndtest(4), zeros((3, 2))
+        >>> s = Session([('test1', test1), ('test2', test2), ('zero1', zero1), ('axis', axis)])                      
+        
+        Filter using a pattern argument
+        
+        >>> s.filter(pattern='test').names
+        ['test1', 'test2']
+        
+        Filter using kind argument
+        
+        >>> s.filter(kind=Axis).names
+        ['axis']
         """
         items = self._objects.items()
         if pattern is not None:
@@ -303,11 +446,28 @@ def filter(self, pattern=None, kind=None):
     @property
     def names(self):
         """
-        Returns the list of names of the array objects in the session
+        Returns the list of names of the array objects in the session.
+        The list is sorted alphabetically and does not follow the internal order.
 
         Returns
         -------
         list of str
+        
+        See Also
+        --------
+        Session.keys
+        
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])  
+        >>> # print array's names in the alphabetical order                    
+        >>> s.names
+        ['arr1', 'arr2', 'arr3']
+        
+        >>> # keys() follows the internal order
+        >>> list(s.keys())
+        ['arr2', 'arr1', 'arr3']
         """
         return sorted(self._objects.keys())
 
@@ -318,12 +478,80 @@ def copy(self):
         return Session(self._objects)
 
     def keys(self):
+        """
+        Returns a view on the session's keys. 
+
+        Returns
+        -------
+        View on the session's keys. 
+        
+        See Also
+        --------
+        Session.names
+
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])   
+        >>> # similar to names by follows the internal order
+        >>> list(s.keys()) 
+        ['arr2', 'arr1', 'arr3']
+        
+        >>> # gives the names of arrays in alphabetical order
+        >>> s.names
+        ['arr1', 'arr2', 'arr3']
+        """
         return self._objects.keys()
 
     def values(self):
+        """
+        Returns a view on the session's values.
+
+        Returns
+        -------
+        View on the session's values. 
+
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])   
+        >>> # assuming you know the order of arrays stored in the session
+        >>> arr2, arr1, arr3 = s.values()
+        >>> # otherwise, prefer the following syntax
+        >>> arr1, arr2, arr3 = s['arr1', 'arr2', 'arr3']
+        >>> arr1
+        a\\b  b0  b1
+         a0   0   1
+         a1   2   3
+        """
         return self._objects.values()
 
     def items(self):
+        """
+        Returns a view of the session’s items ((key, value) pairs).
+
+        Returns
+        -------
+        View on the session's items. 
+
+        Examples
+        --------
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])              
+        >>> for k, v in s.items():
+        ...    print(k, "\\n", v.info)
+        arr2 
+         4
+         a [4]: 'a0' 'a1' 'a2' 'a3'
+        arr1 
+         2 x 2
+         a [2]: 'a0' 'a1'
+         b [2]: 'b0' 'b1'
+        arr3 
+         3 x 2
+         a [3]: 'a0' 'a1' 'a2'
+         b [2]: 'b0' 'b1'
+        """
         return self._objects.items()
 
     def __repr__(self):
@@ -382,6 +610,20 @@ def compact(self, display=False):
         -------
         Session
             A new session containing all compacted arrays
+            
+        Examples
+        --------
+        >>> arr1 = create_sequential('b=b0..b2', ndtest(3), zeros_like(ndtest(3)))
+        >>> arr1
+        a\\b  b0  b1  b2
+         a0   0   0   0
+         a1   1   1   1
+         a2   2   2   2
+        >>> compact_ses = Session(arr1=arr1).compact(display=True)
+        arr1 was constant over {b}
+        >>> compact_ses.arr1
+        a  a0  a1  a2
+            0   1   2
         """
         new_items = []
         for k, v in self._objects.items():
@@ -392,6 +634,38 @@ def compact(self, display=False):
         return Session(new_items)
 
     def summary(self, template=None):
+        """
+        Returns a summary of the content of the session.
+        
+        Parameters
+        ----------
+        template: str
+            Template describing how items are summarized (see examples). 
+            Available arguments are 'name', 'axes_names' and 'title'
+
+        Returns
+        -------
+        str
+            Short representation of the content of the session.
+.
+        Examples
+        --------
+        >>> arr1 = ndtest((2, 2), title='array 1')
+        >>> arr2 = ndtest(4, title='array 2')
+        >>> arr3 = ndtest((3, 2), title='array 3')
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])                      
+        >>> print(s.summary())  # doctest: +NORMALIZE_WHITESPACE
+        arr1: a, b
+            array 1
+        arr2: a
+            array 2
+        arr3: a, b
+            array 3
+        >>> print(s.summary("{name} -> {axes_names}"))
+        arr1 -> a, b
+        arr2 -> a
+        arr3 -> a, b
+        """
         if template is None:
             template = "{name}: {axes_names}\n    {title}\n"
         templ_kwargs = [{'name': k,
@@ -401,10 +675,22 @@ def summary(self, template=None):
 
 
 def local_arrays(depth=0):
+    """
+    Returns a session containing all local arrays (sorted in alphabetical order).
+    
+    Parameters
+    ----------
+    depth: int
+        depth of call frame to inspect. 0 is where local_arrays was called,
+        1 the caller of local_arrays, etc.
+
+    Returns
+    -------
+    Session
+    """
     # noinspection PyProtectedMember
     d = sys._getframe(depth + 1).f_locals
-    return Session((k, d[k]) for k in sorted(d.keys())
-                   if isinstance(d[k], LArray))
+    return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
 
 
 _session_float_error_handler = float_error_handler_factory(4)

From dd6c765082492f100fece746c887d4654c0ceeae Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 31 May 2017 11:04:03 +0200
Subject: [PATCH 613/899] Add changelog for version 0.24

---
 doc/source/changes/version_0_24.rst.inc | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 766a848ab..3cc38eacf 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -1,4 +1,4 @@
-New features
+New features
 ------------
 
 * added a feature (see the :ref:`miscellaneous section <misc>` for details).
@@ -25,8 +25,10 @@ Miscellaneous improvements
     >>> wb = open_excel()
     >>> wb['Sh<tab>  # will be completed to `wb['Sheet1`
 
+* added documentation to methods of Session class (closes :issue:`277`)
 
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* fixed title argument of `ndtest` creation function: title was not passed to the returned array.
+

From 27a8130207aaf99d6387c8476be01abb2143e434 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 2 Jun 2017 11:10:48 +0200
Subject: [PATCH 614/899] fix #296 : to_excel creates a new file by default if
 it does not exist

+ updated test_to_excel_xlwings
---
 larray/core/array.py       | 6 ++++--
 larray/tests/test_array.py | 7 +++++--
 2 files changed, 9 insertions(+), 4 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 31b7a8659..b39104547 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5673,8 +5673,6 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
         if engine == 'xlwings':
             from larray.io.excel import open_excel
 
-            wb = open_excel(filepath, overwrite_file=overwrite_file)
-
             close = False
             new_workbook = False
             if filepath is None:
@@ -5685,6 +5683,10 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
                     if not os.path.isfile(filepath):
                         new_workbook = True
                     close = True
+            if new_workbook or overwrite_file:
+                new_workbook = overwrite_file = True
+
+            wb = open_excel(filepath, overwrite_file=overwrite_file)
 
             if new_workbook:
                 sheet = wb.sheets[0]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 54fb28b32..26c5c9b7b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -1,5 +1,6 @@
 from __future__ import absolute_import, division, print_function
 
+import os
 import sys
 from unittest import TestCase
 
@@ -2630,8 +2631,10 @@ def test_to_excel_xlwings(self):
         # live book/Sheet1/A1
         # a1.to_excel()
 
-        # fpath/Sheet1/A1
-        a1.to_excel(fpath, overwrite_file=True, engine='xlwings')
+        # fpath/Sheet1/A1 (create a new file if does not exist)
+        if os.path.isfile(fpath):
+            os.remove(fpath)
+        a1.to_excel(fpath, engine='xlwings')
         # we use xlrd to read back instead of xlwings even if that should work, to make the test faster
         res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)

From 5a3ddcd22b07325eb7298fdff428e0645554771b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 8 Jun 2017 14:42:31 +0200
Subject: [PATCH 615/899] fix #302 : updated __dir__ method of LArray and Group
 so as to include their attributes.

---
 larray/core/array.py | 2 +-
 larray/core/group.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index b39104547..17675f5e0 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -967,7 +967,7 @@ def __setstate__(self, d):
 
     def __dir__(self):
         names = set(axis.name for axis in self.axes if axis.name is not None)
-        return list(set(dir(self.__class__)) | names)
+        return list(set(dir(self.__class__)) | set(self.__dict__.keys()) | names)
 
     def _ipython_key_completions_(self):
         return list(chain(*[list(labels) for labels in self.axes.labels]))
diff --git a/larray/core/group.py b/larray/core/group.py
index dd40f04c0..bd26d1da1 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -1147,7 +1147,7 @@ def __array__(self, dtype=None):
     def __dir__(self):
         # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
         # dir() takes care of sorting but not uniqueness, so we must ensure that.
-        return list(set(dir(self.eval())) | set(dir(self.__class__)))
+        return list(set(dir(self.eval())) | set(self.__dict__.keys()) | set(dir(self.__class__)))
 
     def __getattr__(self, key):
         if key == '__array_struct__':

From acd756e1938374526a6fd131f77a01596a9a75a1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 8 Jun 2017 16:18:10 +0200
Subject: [PATCH 616/899] updated changelog 0.24

---
 doc/source/changes/version_0_24.rst.inc | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 3cc38eacf..faec17848 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -32,3 +32,4 @@ Fixes
 
 * fixed title argument of `ndtest` creation function: title was not passed to the returned array.
 
+* fixed autocompletion of attributes of LArray and Group objects (closes issue:`302`)

From d7708c55c24335985edcdd51fa38938230fbbd83 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 8 Jun 2017 17:32:22 +0200
Subject: [PATCH 617/899] fix #288 : updated create_sequential to not fail for
 array init, scalar inc

---
 doc/source/changes/version_0_24.rst.inc |  2 ++
 larray/core/array.py                    | 17 ++++++++++++-----
 larray/tests/test_array.py              |  6 +++++-
 3 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index faec17848..1fb326b96 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -32,4 +32,6 @@ Fixes
 
 * fixed title argument of `ndtest` creation function: title was not passed to the returned array.
 
+* fixed create_sequential when arguments initial and inc are array and scalar respectively (closes issue:`288`)
+
 * fixed autocompletion of attributes of LArray and Group objects (closes issue:`302`)
diff --git a/larray/core/array.py b/larray/core/array.py
index 17675f5e0..02cc395bd 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -814,11 +814,7 @@ class LArray(ABCLArray):
           F  10  11  12
     """
 
-    def __init__(self,
-                 data,
-                 axes=None,
-                 title=''   # type: str
-                 ):
+    def __init__(self, data, axes=None, title=''):
         data = np.asarray(data)
         ndim = data.ndim
         if axes is None:
@@ -6841,6 +6837,14 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> initial
     sex  M  F
          3  4
+    >>> create_sequential(year, initial, 1)
+    sex\\year  2016  2017  2018  2019
+           M     3     4     5     6
+           F     4     5     6     7
+    >>> create_sequential(year, initial, mult=2)
+    sex\\year  2016  2017  2018  2019
+           M     3     6    12    24
+           F     4     8    16    32
     >>> create_sequential(year, initial, inc, mult)
     sex\\year  2016  2017  2018  2019
            M     3     7    15    31
@@ -6950,6 +6954,9 @@ def array_or_full(a, axis, initial):
                 r[axis.i[1:]] = a
             return r
 
+        if isinstance(initial, LArray) and np.isscalar(inc):
+            inc = full_like(initial, inc)
+
         # inc only (integer scalar)
         if np.isscalar(mult) and mult == 1 and np.isscalar(inc) and \
                 res_dtype.kind == 'i':
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 26c5c9b7b..d35b0299a 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -16,7 +16,7 @@
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, x, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
-                    from_lists, from_string, open_excel, df_aslarray)
+                    from_lists, from_string, open_excel, df_aslarray, create_sequential)
 from larray.core.axis import _to_ticks, _to_key
 
 
@@ -2218,6 +2218,10 @@ def test_mean(self):
         sex, lipro = la.axes
         assert_array_equal(la.mean(lipro), raw.mean(1))
 
+    def test_create_sequential(self):
+        res = create_sequential('b=b0..b2', ndtest(3) * 3, 1.0)
+        assert_array_equal(ndtest((3, 3), dtype=float), res)
+
     def test_set_labels(self):
         la = self.small.copy()
         la.set_labels(x.sex, ['Man', 'Woman'], inplace=True)

From a8ffa2211158651078c5d64ffae2124dba76c52c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 10:51:24 +0200
Subject: [PATCH 618/899] improved docstring for view() and edit()

---
 larray/viewer/api.py | 56 ++++++++++++++++++++++++++++----------------
 1 file changed, 36 insertions(+), 20 deletions(-)

diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index 1d5879baa..63301261b 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -65,25 +65,33 @@ def get_title(obj, depth=0, maxnames=3):
 
 def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
     """
-    Opens a new editor window. If no object is given,
-    all local arrays are loaded in the editor.
+    Opens a new editor window.
 
     obj : np.ndarray, LArray, Session, dict or str, optional
-        Object to visualize. If string, array(s) will be loaded
-        from the file given as argument.
-        Defaults to the collection of all local variables where
-        the function was called.
+        Object to visualize. If string, array(s) will be loaded from the file given as argument.
+        Defaults to the collection of all local variables where the function was called.
     title : str, optional
-        Title for the current object.
-        A default one is generated if not provided.
+        Title for the current object. Defaults to the name of the first object found in the caller namespace which
+        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
+        object).
     minvalue : scalar, optional
         Minimum value allowed.
     maxvalue : scalar, optional
         Maximum value allowed.
     readonly : bool, optional
-        Whether or not editing array values is forbidden Defaults to False.
+        Whether or not editing array values is forbidden. Defaults to False.
     depth : int, optional
-        Stack depth where to look for variables.
+        Stack depth where to look for variables. Defaults to 0 (where this function was called).
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> # will open an editor with all the arrays available at this point
+    >>> # (a1 and a2 in this case)
+    >>> edit()                                                                                         # doctest: +SKIP
+    >>> # will open an editor for a1 only
+    >>> edit(a1)                                                                                       # doctest: +SKIP
     """
     _app = QApplication.instance()
     if _app is None:
@@ -121,19 +129,27 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
 
 def view(obj=None, title='', depth=0):
     """
-    Starts a new viewer window. Arrays are loaded in
-    readonly mode and their content cannot be modified.
-
-    If no object is given, all local arrays are loaded in the editor.
+    Opens a new viewer window. Arrays are loaded in readonly mode and their content cannot be modified.
 
     obj : np.ndarray, LArray, Session, dict or str, optional
-        Object to visualize. If string, array(s) will be loaded
-        from the file given as argument.
-        Defaults to the collection of all local variables where
-        the function was called.
+        Object to visualize. If string, array(s) will be loaded from the file given as argument.
+        Defaults to the collection of all local variables where the function was called.
     title : str, optional
-        Title for the current object.
-        A default one is generated if not provided.
+        Title for the current object. Defaults to the name of the first object found in the caller namespace which
+        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
+        object).
+    depth : int, optional
+        Stack depth where to look for variables. Defaults to 0 (where this function was called).
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> # will open a viewer showing all the arrays available at this point
+    >>> # (a1 and a2 in this case)
+    >>> view()                                                                                         # doctest: +SKIP
+    >>> # will open a viewer showing only a1
+    >>> view(a1)                                                                                       # doctest: +SKIP
     """
     edit(obj, title=title, readonly=True, depth=depth + 1)
 

From 37967df1a4d857d5d28346433125c0aa9b35072f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 11:38:07 +0200
Subject: [PATCH 619/899] * fixed autodetection of names in compare() and
 allowed to provide explict ones (fixes #306 and closes #307). * added
 docstring for compare

---
 doc/source/changes/version_0_24.rst.inc |  6 +++++-
 larray/viewer/api.py                    | 26 ++++++++++++++++++++++++-
 2 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 1fb326b96..a0847154a 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -1,4 +1,4 @@
-New features
+New features
 ------------
 
 * added a feature (see the :ref:`miscellaneous section <misc>` for details).
@@ -27,6 +27,8 @@ Miscellaneous improvements
 
 * added documentation to methods of Session class (closes :issue:`277`)
 
+* allowed to provide explict names for arrays or sessions in compare(). Closes :issue:`307`.
+
 Fixes
 -----
 
@@ -35,3 +37,5 @@ Fixes
 * fixed create_sequential when arguments initial and inc are array and scalar respectively (closes issue:`288`)
 
 * fixed autocompletion of attributes of LArray and Group objects (closes issue:`302`)
+
+* fixed name of arrays/sessions in compare() not being inferred correctly (closes :issue:`306`).
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index 63301261b..f4a06d122 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -155,7 +155,26 @@ def view(obj=None, title='', depth=0):
 
 
 def compare(*args, **kwargs):
+    """
+    Opens a new comparator window, comparing arrays or sessions.
+
+    *args : LArrays or Sessions
+        Arrays or sessions to compare.
+    title : str, optional
+        Title for the window. Defaults to ''.
+    names : list of str, optional
+        Names for arrays or sessions being compared. Defaults to the name of the first objects found in the caller
+        namespace which correspond to the passed objects.
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> compare(a1, a2, title='first comparison')                                                      # doctest: +SKIP
+    >>> compare(a1 + 1, a2, title='second comparison', names=['a1+1', 'a2'])                           # doctest: +SKIP
+    """
     title = kwargs.pop('title', '')
+    names = kwargs.pop('names', None)
     _app = QApplication.instance()
     if _app is None:
         install_except_hook()
@@ -175,7 +194,12 @@ def get_name(i, obj, depth=0):
         obj_names = find_names(obj, depth=depth + 1)
         return obj_names[0] if obj_names else '%s %d' % (default_name, i)
 
-    names = [get_name(i, a, depth=1) for i, a in enumerate(args)]
+    if names is None:
+        # depth=2 because of the list comprehension
+        names = [get_name(i, a, depth=2) for i, a in enumerate(args)]
+    else:
+        assert isinstance(names, list) and len(names) == len(args)
+
     if dlg.setup_and_check(args, names=names, title=title):
         if parent:
             dlg.show()

From e4bd43f6769bff8a35a3dcac79748096cff02d31 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 31 May 2017 14:36:18 +0200
Subject: [PATCH 620/899] implemented Session.to_globals (closes #276)

---
 doc/source/changes/version_0_24.rst.inc |  19 ++-
 larray/core/session.py                  | 190 +++++++++++++++---------
 2 files changed, 131 insertions(+), 78 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index a0847154a..3b0fac750 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -1,11 +1,22 @@
 New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+* implemented Session.to_globals which creates global variables from variables stored in the session (closes
+  :issue:`276`). Note that this should only ever be used in an interactive console and not in a script. Code editors
+  are confused by this kind of manipulation and will likely consider the code invalid. When using this method
+  auto-completion, "show definition", "go to declaration" and other similar code editor features will probably not work
+  for the variables created in this way and any variable derived from them.
+
+    >>> s = Session(arr1=ndtest(3), arr2=ndtest((2, 2)))
+    >>> s.to_globals()
+    >>> arr1
+    a  a0  a1  a2
+        0   1   2
+    >>> arr2
+    a\b  b0  b1
+     a0   0   1
+     a1   2   3
 
-* added another feature.
-
-.. _misc:
 
 Miscellaneous improvements
 --------------------------
diff --git a/larray/core/session.py b/larray/core/session.py
index 6fd80c386..c1541fed1 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -25,25 +25,25 @@ class Session(object):
         Name of file to load or dictionary containing couples (name, array).
     kwargs : dict of str, array
         List of arrays to add written as 'name'=array, ...
-        
+
     Examples
     --------
     >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-    
-    create a Session by passing a list of pairs (name, array) 
-    
+
+    create a Session by passing a list of pairs (name, array)
+
     >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
-    
+
     create a Session using keyword arguments (but you lose order on Python < 3.6)
-    
+
     >>> s = Session(arr1=arr1, arr2=arr2, arr3=arr3)
-    
+
     create a Session by passing a dictionary (but you lose order on Python < 3.6)
-    
+
     >>> s = Session({'arr1': arr1, 'arr2': arr2, 'arr3': arr3})
-    
+
     load Session from file
-    
+
     >>> s = Session('my_session.h5')  # doctest: +SKIP
     """
     def __init__(self, *args, **kwargs):
@@ -76,7 +76,7 @@ def add(self, *args, **kwargs):
             List of objects to add. Objects must have an attribute 'name'.
         kwargs : dict of str, array
             List of objects to add written as 'name'=array, ...
-            
+
         Examples
         --------
         >>> s = Session()
@@ -129,13 +129,13 @@ def get(self, key, default=None):
         LArray
             Array corresponding to the given key or
             a default one if not found.
-            
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)]) 
-        >>> arr = s.get('arr1')          
-        >>> arr                         
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
+        >>> arr = s.get('arr1')
+        >>> arr
         a\\b  b0  b1
          a0   0   1
          a1   2   3
@@ -200,17 +200,17 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         display : bool, optional
             whether or not to display which file is being worked on. Defaults
             to False.
-            
+
         Examples
         --------
-        In one module 
-        
+        In one module
+
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))  # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)]) # doctest: +SKIP
         >>> s.save('input.h5')  # doctest: +SKIP
-        
+
         In another module
-        
+
         >>> s = Session()                                 # doctest: +SKIP
         >>> s.load('input.h5', ['arr1', 'arr2', 'arr3'])  # doctest: +SKIP
         >>> arr1, arr2, arr3 = s['arr1', 'arr2', 'arr3']  # doctest: +SKIP
@@ -251,18 +251,18 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults
             to False.
-            
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
-        
+
         Save all arrays
-        
+
         >>> s.save('output.h5')  # doctest: +SKIP
-        
+
         Save only some arrays
-        
+
         >>> s.save('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         if engine == 'auto':
@@ -277,6 +277,48 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
             items = [(k, v) for k, v in items if k in names_set]
         handler.dump_arrays(items, display=display, **kwargs)
 
+    def to_globals(self, names=None, depth=0):
+        """
+        Create global variables out of objects in the session.
+
+        Parameters
+        ----------
+        names : list of str or None, optional
+            List of names of objects to convert to globals. Defaults to all objects present in the Session.
+        depth : int
+            depth of call stack where to create the variables. 0 is where to_globals was called, 1 the caller of
+            to_globals, etc.
+
+        Notes
+        -----
+
+        This should only ever be used in an interactive console and not in a script. Code editors are confused by this
+        kind of manipulation and will likely consider the code invalid. When using this method auto-completion,
+        "show definition", "go to declaration" and other similar code editor features will probably not work for
+        the variables created in this way and any variable derived from them.
+
+        Examples
+        --------
+
+        >>> s = Session(arr1=ndtest(3), arr2=ndtest((2, 2)))
+        >>> s.to_globals()
+        >>> arr1
+        a  a0  a1  a2
+            0   1   2
+        >>> arr2
+        a\\b  b0  b1
+         a0   0   1
+         a1   2   3
+        """
+        # noinspection PyProtectedMember
+        d = sys._getframe(depth + 1).f_globals
+        items = self.items()
+        if names is not None:
+            names_set = set(names)
+            items = [(k, v) for k, v in items if k in names_set]
+        for k, v in items:
+            d[k] = v
+
     def to_pickle(self, fname, names=None, *args, **kwargs):
         """
         Dumps all array objects from the current session to a file using pickle.
@@ -291,18 +333,18 @@ def to_pickle(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
-            
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
-        
+
         Save all arrays
-        
+
         >>> s.to_pickle('output.pkl')  # doctest: +SKIP
-        
+
         Save only some arrays
-        
+
         >>> s.to_pickle('output.pkl', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['pkl'], *args, **kwargs)
@@ -322,18 +364,18 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
-        
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
-        
+
         Save all arrays
-        
+
         >>> s.to_hdf('output.h5')  # doctest: +SKIP
-        
+
         Save only some arrays
-        
+
         >>> s.to_hdf('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
@@ -353,18 +395,18 @@ def to_excel(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
-            
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
-        
+
         Save all arrays
-        
+
         >>> s.to_excel('output.xlsx')  # doctest: +SKIP
-        
+
         Save only some arrays
-        
+
         >>> s.to_excel('output.xlsx', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
@@ -384,18 +426,18 @@ def to_csv(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
-            
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
         >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
-        
+
         Save all arrays
-        
+
         >>> s.to_csv('./Output')  # doctest: +SKIP
-        
+
         Save only some arrays
-        
+
         >>> s.to_csv('./Output', ['arr1', 'arr3'])  # doctest: +SKIP
         """
         self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
@@ -419,20 +461,20 @@ def filter(self, pattern=None, kind=None):
         -------
         Session
             The filtered session.
-            
+
         Examples
         --------
         >>> axis = Axis('a=a0..a2')
         >>> test1, test2, zero1 = ndtest((2, 2)), ndtest(4), zeros((3, 2))
-        >>> s = Session([('test1', test1), ('test2', test2), ('zero1', zero1), ('axis', axis)])                      
-        
+        >>> s = Session([('test1', test1), ('test2', test2), ('zero1', zero1), ('axis', axis)])
+
         Filter using a pattern argument
-        
+
         >>> s.filter(pattern='test').names
         ['test1', 'test2']
-        
+
         Filter using kind argument
-        
+
         >>> s.filter(kind=Axis).names
         ['axis']
         """
@@ -452,19 +494,19 @@ def names(self):
         Returns
         -------
         list of str
-        
+
         See Also
         --------
         Session.keys
-        
+
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])  
-        >>> # print array's names in the alphabetical order                    
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
+        >>> # print array's names in the alphabetical order
         >>> s.names
         ['arr1', 'arr2', 'arr3']
-        
+
         >>> # keys() follows the internal order
         >>> list(s.keys())
         ['arr2', 'arr1', 'arr3']
@@ -479,12 +521,12 @@ def copy(self):
 
     def keys(self):
         """
-        Returns a view on the session's keys. 
+        Returns a view on the session's keys.
 
         Returns
         -------
-        View on the session's keys. 
-        
+        View on the session's keys.
+
         See Also
         --------
         Session.names
@@ -492,11 +534,11 @@ def keys(self):
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])   
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
         >>> # similar to names by follows the internal order
-        >>> list(s.keys()) 
+        >>> list(s.keys())
         ['arr2', 'arr1', 'arr3']
-        
+
         >>> # gives the names of arrays in alphabetical order
         >>> s.names
         ['arr1', 'arr2', 'arr3']
@@ -509,12 +551,12 @@ def values(self):
 
         Returns
         -------
-        View on the session's values. 
+        View on the session's values.
 
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])   
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
         >>> # assuming you know the order of arrays stored in the session
         >>> arr2, arr1, arr3 = s.values()
         >>> # otherwise, prefer the following syntax
@@ -532,22 +574,22 @@ def items(self):
 
         Returns
         -------
-        View on the session's items. 
+        View on the session's items.
 
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
-        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])              
+        >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
         >>> for k, v in s.items():
         ...    print(k, "\\n", v.info)
-        arr2 
+        arr2
          4
          a [4]: 'a0' 'a1' 'a2' 'a3'
-        arr1 
+        arr1
          2 x 2
          a [2]: 'a0' 'a1'
          b [2]: 'b0' 'b1'
-        arr3 
+        arr3
          3 x 2
          a [3]: 'a0' 'a1' 'a2'
          b [2]: 'b0' 'b1'
@@ -610,7 +652,7 @@ def compact(self, display=False):
         -------
         Session
             A new session containing all compacted arrays
-            
+
         Examples
         --------
         >>> arr1 = create_sequential('b=b0..b2', ndtest(3), zeros_like(ndtest(3)))
@@ -636,11 +678,11 @@ def compact(self, display=False):
     def summary(self, template=None):
         """
         Returns a summary of the content of the session.
-        
+
         Parameters
         ----------
         template: str
-            Template describing how items are summarized (see examples). 
+            Template describing how items are summarized (see examples).
             Available arguments are 'name', 'axes_names' and 'title'
 
         Returns
@@ -653,7 +695,7 @@ def summary(self, template=None):
         >>> arr1 = ndtest((2, 2), title='array 1')
         >>> arr2 = ndtest(4, title='array 2')
         >>> arr3 = ndtest((3, 2), title='array 3')
-        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])                      
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
         >>> print(s.summary())  # doctest: +NORMALIZE_WHITESPACE
         arr1: a, b
             array 1
@@ -677,7 +719,7 @@ def summary(self, template=None):
 def local_arrays(depth=0):
     """
     Returns a session containing all local arrays (sorted in alphabetical order).
-    
+
     Parameters
     ----------
     depth: int

From 0ca752607d3ed7e79de02bf3ff02cca7fc717a48 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 6 Jun 2017 17:40:29 +0200
Subject: [PATCH 621/899] added warning when using Session.to_globals from a
 script

---
 larray/core/session.py       |  5 ++++-
 larray/tests/test_session.py | 16 ++++++++++++++++
 larray/util/misc.py          | 11 +++++++++++
 3 files changed, 31 insertions(+), 1 deletion(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index c1541fed1..edfe31825 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -10,7 +10,7 @@
 
 from larray.core.axis import Axis
 from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, create_sequential
-from larray.util.misc import float_error_handler_factory
+from larray.util.misc import float_error_handler_factory, is_interactive_interpreter
 from larray.io.session import check_pattern, handler_classes, ext_default_engine
 
 
@@ -311,6 +311,9 @@ def to_globals(self, names=None, depth=0):
          a1   2   3
         """
         # noinspection PyProtectedMember
+        if not is_interactive_interpreter():
+            warnings.warn("Session.to_globals should only ever be used in interactive consoles and not in scripts",
+                          RuntimeWarning, stacklevel=2)
         d = sys._getframe(depth + 1).f_globals
         items = self.items()
         if names is not None:
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 4f61a2c76..c14933eac 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -190,6 +190,22 @@ def test_pickle_io(self):
         s.load(fpath, engine='pickle')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
+    def test_to_globals(self):
+        with pytest.warns(RuntimeWarning) as caught_warnings:
+            self.session.to_globals()
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "Session.to_globals should only ever be used in interactive " \
+                                                     "consoles and not in scripts"
+        assert caught_warnings[0].filename == __file__
+
+        self.assertIs(a, self.a)
+        self.assertIs(b, self.b)
+        self.assertIs(c, self.c)
+        self.assertIs(d, self.d)
+        self.assertIs(e, self.e)
+        self.assertIs(f, self.f)
+        self.assertIs(g, self.g)
+
     def test_eq(self):
         sess = self.session.filter(kind=LArray)
         expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])
diff --git a/larray/util/misc.py b/larray/util/misc.py
index 51985c085..f3cdf2710 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -3,6 +3,7 @@
 """
 from __future__ import absolute_import, division, print_function
 
+import __main__
 import math
 import itertools
 import sys
@@ -44,6 +45,16 @@
     import pickle
 
 
+def is_interactive_interpreter():
+    try:
+        # When running using IPython, sys.ps1 is always defined, so we cannot use the standard "hasattr(sys, 'ps1')"
+        # Additionally, an InProcessInteractiveShell can have a __main__ module with a file
+        main_lacks_file = not hasattr(__main__, '__file__')
+        return main_lacks_file or get_ipython().__class__.__name__ == 'InProcessInteractiveShell'
+    except NameError:
+        return hasattr(sys, 'ps1')
+
+
 def csv_open(filename, mode='r'):
     assert 'b' not in mode and 't' not in mode
     if sys.version < '3':

From 7be38c363073bce1e363135ffc1c688d9be31078 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 7 Jun 2017 15:44:39 +0200
Subject: [PATCH 622/899] fixed items() doctest

---
 larray/core/session.py | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index edfe31825..50e98306f 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -584,16 +584,13 @@ def items(self):
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
         >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
         >>> for k, v in s.items():
-        ...    print(k, "\\n", v.info)
-        arr2
-         4
+        ...     print("{}: {}".format(k, v.info))
+        arr2: 4
          a [4]: 'a0' 'a1' 'a2' 'a3'
-        arr1
-         2 x 2
+        arr1: 2 x 2
          a [2]: 'a0' 'a1'
          b [2]: 'b0' 'b1'
-        arr3
-         3 x 2
+        arr3: 3 x 2
          a [3]: 'a0' 'a1' 'a2'
          b [2]: 'b0' 'b1'
         """

From e159d0241ab50881e07c42845adfd750a89b7e4f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 14:00:38 +0200
Subject: [PATCH 623/899] fixed indexing Excel sheets outside used range by
 position (closes #273).

---
 doc/source/changes/version_0_24.rst.inc |  3 +++
 larray/io/excel.py                      | 22 +++++++++++++++++++++-
 2 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 3b0fac750..457f7d478 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -50,3 +50,6 @@ Fixes
 * fixed autocompletion of attributes of LArray and Group objects (closes issue:`302`)
 
 * fixed name of arrays/sessions in compare() not being inferred correctly (closes :issue:`306`).
+
+* fixed indexing Excel sheets by position to always yield the requested shape even when bounds are outside the range of
+  used cells. Closes :issue:`273`.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 615b1aebb..baf13f8bd 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -253,6 +253,24 @@ def __repr__(self):
             return '<{}.{} [{}]>'.format(cls.__module__, cls.__name__, self.name)
 
 
+    def _fill_slice(s, length):
+        """
+        replaces a slice None bounds by actual bounds.
+
+        Parameters
+        ----------
+        k : slice
+            slice to replace
+        length : int
+            length of sequence
+
+        Returns
+        -------
+        slice
+        """
+        return slice(s.start if s.start is not None else 0, s.stop if s.stop is not None else length, s.step)
+
+
     def _concrete_key(key, shape):
         if not isinstance(key, tuple):
             key = (key,)
@@ -260,7 +278,9 @@ def _concrete_key(key, shape):
         if len(key) < len(shape):
             key = key + (slice(None),) * (len(shape) - len(key))
 
-        return [slice(*k.indices(length)) if isinstance(k, slice) else k
+        # We do not use slice(*k.indices(length)) because it also clips bounds which exceed the length, which we do not
+        # want in this case (see issue #273).
+        return [_fill_slice(k, length) if isinstance(k, slice) else k
                 for k, length in zip(key, shape)]
 
 

From 72b496825762fe4ca82b03a381b5daa1ab721933 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 14:55:39 +0200
Subject: [PATCH 624/899] fixed the array() method on excel.Sheet returning
 float labels when int labels are expected.

---
 doc/source/changes/version_0_24.rst.inc |  2 ++
 larray/io/excel.py                      |  8 ++++----
 larray/tests/test_excel.py              | 22 +++++++++++++++++++++-
 3 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 457f7d478..7e01b6371 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -53,3 +53,5 @@ Fixes
 
 * fixed indexing Excel sheets by position to always yield the requested shape even when bounds are outside the range of
   used cells. Closes :issue:`273`.
+
+* fixed the array() method on excel.Sheet returning float labels when int labels are expected.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index baf13f8bd..e96a4b906 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -358,17 +358,17 @@ def array(self, data, row_labels=None, column_labels=None, names=None):
             -------
             LArray
             """
-            # FIXME: use _convert_value
             if row_labels is not None:
-                row_labels = np.array(self[row_labels].value)
+                row_labels = np.asarray(self[row_labels])
             if column_labels is not None:
-                column_labels = np.array(self[column_labels].value)
+                column_labels = np.asarray(self[column_labels])
             if names is not None:
                 labels = (row_labels, column_labels)
                 axes = [Axis(axis_labels, name) for axis_labels, name in zip(labels, names)]
             else:
                 axes = (row_labels, column_labels)
-            return LArray(self[data], axes)
+            # _converted_value is used implicitly via Range.__array__
+            return LArray(np.asarray(self[data]), axes)
 
         def __repr__(self):
             cls = self.__class__
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 15517af8a..6d3f65463 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -10,7 +10,7 @@
 except ImportError:
     xw = None
 
-from larray import ndtest, larray_equal, open_excel
+from larray import ndtest, ndrange, larray_equal, open_excel
 from larray.io import excel
 
 
@@ -126,6 +126,26 @@ def test_get_and_set_item(self):
             # array with header
             assert larray_equal(sheet['A8:D10'].load(), arr)
 
+    def test_array_method(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            # normal test array
+            arr1 = ndtest((2, 3))
+            sheet['A1'] = arr1.dump()
+            res1 = sheet.array('B2:D3', 'A2:A3', 'B1:D1', names=['a', 'b'])
+            assert larray_equal(res1, arr1)
+
+            # array with int labels
+            arr2 = ndrange('0..1;0..2')
+            sheet['A1'] = arr2.dump()
+            res2 = sheet.array('B2:D3', 'A2:A3', 'B1:D1')
+            # larray_equal passes even if the labels are floats...
+            assert larray_equal(res2, arr2)
+            # so we check the dtype explicitly
+            assert res2.axes[0].labels.dtype == arr2.axes[0].labels.dtype
+            assert res2.axes[1].labels.dtype == arr2.axes[1].labels.dtype
+
     def test_repr(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]

From edff2f339e022b7289f184d1de6d1d7b8c7f0f2c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 15:07:35 +0200
Subject: [PATCH 625/899] fixed getting float data instead of int when
 converting an Excel Sheet or Range to an larray or numpy array.

---
 doc/source/changes/version_0_24.rst.inc |  2 ++
 larray/io/excel.py                      |  8 +-----
 larray/tests/test_excel.py              | 35 ++++++++++++++++++++++++-
 3 files changed, 37 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 7e01b6371..06be4f052 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -55,3 +55,5 @@ Fixes
   used cells. Closes :issue:`273`.
 
 * fixed the array() method on excel.Sheet returning float labels when int labels are expected.
+
+* fixed getting float data instead of int when converting an Excel Sheet or Range to an larray or numpy array.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index e96a4b906..82fcbcc3d 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -324,9 +324,7 @@ def ndim(self):
             return 2
 
         def __array__(self, dtype=None):
-            # FIXME: convert value like in Range, something like:
-            # return np.array(self[:]._converted_value(), dtype=dtype)
-            return np.array(self[:].value, dtype=dtype)
+            return np.asarray(self[:], dtype=dtype)
 
         def __dir__(self):
             return list(set(dir(self.__class__)) | set(dir(self.xw_sheet)))
@@ -443,10 +441,6 @@ def __index__(self):
         def __array__(self, dtype=None):
             return np.array(self._converted_value(), dtype=dtype)
 
-        def __larray__(self):
-            # FIXME: use converted_value
-            return LArray(np.array(self.xw_range.value))
-
         def __dir__(self):
             return list(set(dir(self.__class__)) | set(dir(self.xw_range)))
 
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 6d3f65463..89a7ab9b6 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -10,7 +10,7 @@
 except ImportError:
     xw = None
 
-from larray import ndtest, ndrange, larray_equal, open_excel
+from larray import ndtest, ndrange, larray_equal, open_excel, aslarray
 from larray.io import excel
 
 
@@ -126,6 +126,17 @@ def test_get_and_set_item(self):
             # array with header
             assert larray_equal(sheet['A8:D10'].load(), arr)
 
+    def test_asarray(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            arr1 = ndtest((2, 3))
+            # no header so that we have an uniform dtype for the whole sheet
+            sheet['A1'] = arr1
+            res1 = np.asarray(sheet)
+            assert np.array_equal(res1, arr1.data)
+            assert res1.dtype == arr1.dtype
+
     def test_array_method(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
@@ -179,6 +190,28 @@ def test_scalar_convert(self):
                 rng.__index__()
             assert e_info.value.args[0] == "only integer scalars can be converted to a scalar index"
 
+    def test_asarray(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            arr1 = ndtest((2, 3))
+            # no header so that we have an uniform dtype for the whole sheet
+            sheet['A1'] = arr1
+            res1 = np.asarray(sheet['A1:C2'])
+            assert np.array_equal(res1, arr1.data)
+            assert res1.dtype == arr1.dtype
+
+    def test_aslarray(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            arr1 = ndrange((2, 3))
+            # no header so that we have an uniform dtype for the whole sheet
+            sheet['A1'] = arr1
+            res1 = aslarray(sheet['A1:C2'])
+            assert larray_equal(res1, arr1)
+            assert res1.dtype == arr1.dtype
+
 
 if __name__ == "__main__":
     pytest.main()

From 236e00c00aca0eb2f60098a002b5380b4ade7d94 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 9 Jun 2017 15:34:19 +0200
Subject: [PATCH 626/899] fixed bad docstring

---
 larray/io/excel.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index 82fcbcc3d..45e200628 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -259,7 +259,7 @@ def _fill_slice(s, length):
 
         Parameters
         ----------
-        k : slice
+        s : slice
             slice to replace
         length : int
             length of sequence

From cb8662578f209cd1c72a1a9ce5bb11c86c42af3f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 12 Jun 2017 10:45:32 +0200
Subject: [PATCH 627/899] updated api.rst --> added Session's methods

---
 doc/source/api.rst | 55 +++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 52 insertions(+), 3 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 0d2b83ad7..682829d06 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -437,6 +437,7 @@ Miscellaneous
    eye
    ipfp
    load_example_data
+   local_arrays
 
 Session
 =======
@@ -445,18 +446,66 @@ Session
    :toctree: _generated/
 
    Session
+
+Exploring
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
    Session.names
+   Session.keys
+   Session.values
+   Session.items
+   Session.summary
+
+Copying
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Session.copy
+
+Selecting
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Session.get
+
+Modifying
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
    Session.add
    Session.get
+
+Filtering/Cleaning
+------------------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Session.filter
+   Session.compact
+
+Load/Save
+---------
+
+.. autosummary::
+   :toctree: _generated/
+
    Session.load
    Session.save
    Session.to_csv
    Session.to_excel
    Session.to_hdf
    Session.to_pickle
-   Session.filter
-   Session.compact
-   Session.copy
+
 
 Viewer
 ======

From 40cadc6908af2565e5640b6f2baeddc1286ed554 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 12 Jun 2017 10:53:11 +0200
Subject: [PATCH 628/899] updated api.rst

---
 doc/source/api.rst | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 682829d06..2c1a79002 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -12,7 +12,10 @@ Axis
    :toctree: _generated/
 
    Axis
-   Axis.name
+
+.. autosummary::
+   :toctree: _generated/
+
    Axis.labels
    Axis.labels_summary
    Axis.copy
@@ -64,6 +67,10 @@ PGroup
    :toctree: _generated/
 
    PGroup
+
+.. autosummary::
+   :toctree: _generated/
+
    PGroup.named
    PGroup.with_axis
    PGroup.by
@@ -79,6 +86,10 @@ LGroup
    :toctree: _generated/
 
    LGroup
+
+.. autosummary::
+   :toctree: _generated/
+
    LGroup.named
    LGroup.with_axis
    LGroup.by
@@ -102,6 +113,10 @@ AxisCollection
    :toctree: _generated/
 
    AxisCollection
+
+.. autosummary::
+   :toctree: _generated/
+
    AxisCollection.names
    AxisCollection.display_names
    AxisCollection.labels

From a402f3bd3578cbd643dc29b057820d05cebacd4a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 12 Jun 2017 11:13:05 +0200
Subject: [PATCH 629/899] fix #301 : updated api.rst to display also instance
 attributes (not possible with Sphinx)

---
 doc/source/api.rst  | 24 ++++++++++++++++++++++--
 larray/core/axis.py |  2 +-
 2 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 2c1a79002..2690d297b 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -13,11 +13,23 @@ Axis
 
    Axis
 
+Exploring
+---------
+
+=========================== ==============================================================
+Axis.name                   Name of the axis. None in the case of an anonymous axis.
+--------------------------- --------------------------------------------------------------
+:attr:`Axis.labels`         Labels of the axis.
+--------------------------- --------------------------------------------------------------
+:attr:`Axis.labels_summary` Short representation of the labels.
+=========================== ==============================================================
+
+Copying
+-------
+
 .. autosummary::
    :toctree: _generated/
 
-   Axis.labels
-   Axis.labels_summary
    Axis.copy
 
 Searching
@@ -227,6 +239,14 @@ Copying
 Inspecting
 ----------
 
+=================== ==============================================================
+LArray.data         Data of the array (Numpy ndarray)
+------------------- --------------------------------------------------------------
+LArray.axes         Axes of the array (AxisCollection)
+------------------- --------------------------------------------------------------
+LArray.title        Title of the array (str)
+=================== ==============================================================
+
 .. autosummary::
    :toctree: _generated/
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 412039683..4de5586f1 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -177,7 +177,7 @@ def i(self):
     @property
     def labels(self):
         """
-        List of labels.
+        labels of the axis.
         """
         return self._labels
 

From b6e133f3a5cbd90f0b60bd637e55372dffba68ff Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 09:54:58 +0200
Subject: [PATCH 630/899] renamed create_sequential() to sequence() (closes
 #212)

---
 doc/source/api.rst                      |  2 +-
 doc/source/changes/version_0_24.rst.inc |  3 ++
 larray/core/array.py                    | 46 ++++++++++++++-----------
 larray/core/session.py                  |  4 +--
 larray/tests/test_array.py              |  6 ++--
 5 files changed, 34 insertions(+), 27 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 2690d297b..9ff8fb9ad 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -212,7 +212,7 @@ Array Creation Functions
 .. autosummary::
    :toctree: _generated/
 
-   create_sequential
+   sequence
    ndrange
    ndtest
    zeros
diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 06be4f052..8feb820e9 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -21,6 +21,8 @@
 Miscellaneous improvements
 --------------------------
 
+* renamed create_sequential() to sequence() (closes :issue:`212`).
+
 * improved auto-completion in ipython interactive consoles (e.g. the viewer console) for Axis, AxisCollection, Group
   and Workbook objects. These objects can now complete keys within [].
 
@@ -40,6 +42,7 @@ Miscellaneous improvements
 
 * allowed to provide explict names for arrays or sessions in compare(). Closes :issue:`307`.
 
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 02cc395bd..73a85dd5a 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -3,7 +3,7 @@
 
 __all__ = [
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
-    'full', 'full_like', 'create_sequential', 'ndrange', 'labels_array',
+    'full', 'full_like', 'sequence', 'create_sequential', 'ndrange', 'labels_array',
     'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal',
     'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
     'ptp', 'var', 'std', 'median', 'percentile', 'stack', 'nan'
@@ -761,7 +761,7 @@ class LArray(ABCLArray):
 
     See Also
     --------
-    create_sequential : Create a LArray by sequentially
+    sequence : Create a LArray by sequentially
                         applying modifications to the array along axis.
     ndrange : Create a LArray with increasing elements.
     zeros : Create a LArray, each element of which is zero.
@@ -804,11 +804,11 @@ class LArray(ABCLArray):
      11         F   1.0   1.0   1.0
      12         M  -1.0  -1.0  -1.0
      12         F   1.0   1.0   1.0
-    >>> bysex = create_sequential(sex, initial=-1, inc=2)
+    >>> bysex = sequence(sex, initial=-1, inc=2)
     >>> bysex
     sex   M  F
          -1  1
-    >>> create_sequential(age, initial=10, inc=bysex)
+    >>> sequence(age, initial=10, inc=bysex)
     sex\\age  10  11  12
           M  10   9   8
           F  10  11  12
@@ -6767,10 +6767,9 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
 
 
 # XXX: would it be possible to generalize to multiple axes and deprecate
-#      ndrange (or rename this one to ndrange)? ndrange is only ever used to
-#      create test data (except for 1d)
+#      ndrange? ndrange is only ever used to create test data (except for 1d)
 # see https://github.com/pydata/pandas/issues/4567
-def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
+def sequence(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     """
     Creates an array by sequentially applying modifications to the array along
     axis.
@@ -6805,23 +6804,23 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     --------
     >>> year = Axis('year=2016..2019')
     >>> sex = Axis('sex=M,F')
-    >>> create_sequential(year)
+    >>> sequence(year)
     year  2016  2017  2018  2019
              0     1     2     3
-    >>> create_sequential('year=2016..2019')
+    >>> sequence('year=2016..2019')
     year  2016  2017  2018  2019
              0     1     2     3
-    >>> create_sequential(year, 1.0, 0.5)
+    >>> sequence(year, 1.0, 0.5)
     year  2016  2017  2018  2019
            1.0   1.5   2.0   2.5
-    >>> create_sequential(year, 1.0, mult=1.5)
+    >>> sequence(year, 1.0, mult=1.5)
     year  2016  2017  2018   2019
            1.0   1.5  2.25  3.375
     >>> inc = LArray([1, 2], [sex])
     >>> inc
     sex  M  F
          1  2
-    >>> create_sequential(year, 1.0, inc)
+    >>> sequence(year, 1.0, inc)
     sex\\year  2016  2017  2018  2019
            M   1.0   2.0   3.0   4.0
            F   1.0   3.0   5.0   7.0
@@ -6829,7 +6828,7 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> mult
     sex  M  F
          2  3
-    >>> create_sequential(year, 1.0, mult=mult)
+    >>> sequence(year, 1.0, mult=mult)
     sex\\year  2016  2017  2018  2019
            M   1.0   2.0   4.0   8.0
            F   1.0   3.0   9.0  27.0
@@ -6837,32 +6836,32 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> initial
     sex  M  F
          3  4
-    >>> create_sequential(year, initial, 1)
+    >>> sequence(year, initial, 1)
     sex\\year  2016  2017  2018  2019
            M     3     4     5     6
            F     4     5     6     7
-    >>> create_sequential(year, initial, mult=2)
+    >>> sequence(year, initial, mult=2)
     sex\\year  2016  2017  2018  2019
            M     3     6    12    24
            F     4     8    16    32
-    >>> create_sequential(year, initial, inc, mult)
+    >>> sequence(year, initial, inc, mult)
     sex\\year  2016  2017  2018  2019
            M     3     7    15    31
            F     4    14    44   134
     >>> def modify(prev_value):
     ...     return prev_value / 2
-    >>> create_sequential(year, 8, func=modify)
+    >>> sequence(year, 8, func=modify)
     year  2016  2017  2018  2019
              8     4     2     1
-    >>> create_sequential(3)
+    >>> sequence(3)
     {0}*  0  1  2
           0  1  2
-    >>> create_sequential(x.year, axes=(sex, year))
+    >>> sequence(x.year, axes=(sex, year))
     sex\\year  2016  2017  2018  2019
            M     0     1     2     3
            F     0     1     2     3
 
-    create_sequential can be used as the inverse of growth_rate:
+    sequence can be used as the inverse of growth_rate:
 
     >>> a = LArray([1.0, 2.0, 3.0, 3.0], year)
     >>> a
@@ -6872,7 +6871,7 @@ def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, t
     >>> g
     year  2017  2018  2019
            2.0   1.5   1.0
-    >>> create_sequential(year, a[2016], mult=g)
+    >>> sequence(year, a[2016], mult=g)
     year  2016  2017  2018  2019
            1.0   2.0   3.0   3.0
     """
@@ -6987,6 +6986,11 @@ def array_or_full(a, axis, initial):
     return res
 
 
+def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
+    warnings.warn("create_sequential() has been renamed to sequence()", DeprecationWarning, stacklevel=2)
+    return sequence(axis, initial=initial, inc=inc, mult=mult, func=func, axes=axes, title=title)
+
+
 @_check_axes_argument
 def ndrange(axes, start=0, title='', dtype=int):
     """Returns an array with the specified axes and filled with increasing int.
diff --git a/larray/core/session.py b/larray/core/session.py
index 50e98306f..2da012716 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -9,7 +9,7 @@
 import numpy as np
 
 from larray.core.axis import Axis
-from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, create_sequential
+from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, sequence
 from larray.util.misc import float_error_handler_factory, is_interactive_interpreter
 from larray.io.session import check_pattern, handler_classes, ext_default_engine
 
@@ -655,7 +655,7 @@ def compact(self, display=False):
 
         Examples
         --------
-        >>> arr1 = create_sequential('b=b0..b2', ndtest(3), zeros_like(ndtest(3)))
+        >>> arr1 = sequence('b=b0..b2', ndtest(3), zeros_like(ndtest(3)))
         >>> arr1
         a\\b  b0  b1  b2
          a0   0   0   0
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index d35b0299a..c1cc09ef2 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -16,7 +16,7 @@
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, x, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
-                    from_lists, from_string, open_excel, df_aslarray, create_sequential)
+                    from_lists, from_string, open_excel, df_aslarray, sequence)
 from larray.core.axis import _to_ticks, _to_key
 
 
@@ -2218,8 +2218,8 @@ def test_mean(self):
         sex, lipro = la.axes
         assert_array_equal(la.mean(lipro), raw.mean(1))
 
-    def test_create_sequential(self):
-        res = create_sequential('b=b0..b2', ndtest(3) * 3, 1.0)
+    def test_sequence(self):
+        res = sequence('b=b0..b2', ndtest(3) * 3, 1.0)
         assert_array_equal(ndtest((3, 3), dtype=float), res)
 
     def test_set_labels(self):

From e44decbb6c3521eb01508ded62075d95a2905c8e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 09:55:44 +0200
Subject: [PATCH 631/899] strip unused imports

---
 larray/core/array.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 73a85dd5a..c2b0d5d56 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -104,8 +104,7 @@
 from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
 from larray.core.axis import Axis, AxisReference, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, csv_open, skip_comment_cells, strip_rows, _isnoneslice,
-                              light_product)
+                              float_error_handler_factory, _isnoneslice, light_product)
 
 nan = np.nan
 

From 6949fc78aeb58d2f90d6db1bc1ad19fc624a181f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 09:57:14 +0200
Subject: [PATCH 632/899] fixed warning stacklevel for with_axes and ipfp
 module

---
 doc/source/changes/version_0_24.rst.inc | 2 ++
 larray/core/array.py                    | 2 +-
 larray/ipfp/__init__.py                 | 7 ++++---
 3 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 8feb820e9..510f152e2 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -60,3 +60,5 @@ Fixes
 * fixed the array() method on excel.Sheet returning float labels when int labels are expected.
 
 * fixed getting float data instead of int when converting an Excel Sheet or Range to an larray or numpy array.
+
+* fixed some warning messages to point to the correct line in user code.
diff --git a/larray/core/array.py b/larray/core/array.py
index c2b0d5d56..02367f58d 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -943,7 +943,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             return LArray(self.data, new_axes, title=self.title)
 
     def with_axes(self, axes):
-        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", DeprecationWarning)
+        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", DeprecationWarning, stacklevel=2)
         return self.set_axes(axes)
 
     def __getattr__(self, key):
diff --git a/larray/ipfp/__init__.py b/larray/ipfp/__init__.py
index cdfc10145..953093522 100644
--- a/larray/ipfp/__init__.py
+++ b/larray/ipfp/__init__.py
@@ -1,7 +1,8 @@
 from __future__ import absolute_import
 
 import warnings
-warnings.warn("ipfp function should be imported as\nfrom larray import ipfp\n"
-              "or not imported explicitly at all if you use\nfrom larray import *", FutureWarning)
 
-import larray.extra.ipfp as ipfp
\ No newline at end of file
+import larray.extra.ipfp as ipfp
+
+warnings.warn('ipfp function should be imported as "from larray import ipfp" or not imported explicitly at all if you '
+              'use "from larray import *"', FutureWarning, stacklevel=2)

From 311447ee11d77fe4cd8ef737670c4b1339af4c23 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 10:05:20 +0200
Subject: [PATCH 633/899] added ability to deactivate warning in
 Session.to_globals and "weaken" the warning message

---
 doc/source/changes/version_0_24.rst.inc |  9 +++++----
 larray/core/session.py                  | 22 +++++++++++++---------
 larray/tests/test_session.py            |  5 +++--
 3 files changed, 21 insertions(+), 15 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 510f152e2..e3602cd09 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -2,10 +2,11 @@
 ------------
 
 * implemented Session.to_globals which creates global variables from variables stored in the session (closes
-  :issue:`276`). Note that this should only ever be used in an interactive console and not in a script. Code editors
-  are confused by this kind of manipulation and will likely consider the code invalid. When using this method
-  auto-completion, "show definition", "go to declaration" and other similar code editor features will probably not work
-  for the variables created in this way and any variable derived from them.
+  :issue:`276`). Note that this should usually only be used in an interactive console and not in a script. Code editors
+  are confused by this kind of manipulation and will likely consider as invalid the code using variables created in
+  this way. Additionally, when using this method auto-completion, "show definition", "go to declaration" and other
+  similar code editor features will probably not work for the variables created in this way and any variable derived
+  from them.
 
     >>> s = Session(arr1=ndtest(3), arr2=ndtest((2, 2)))
     >>> s.to_globals()
diff --git a/larray/core/session.py b/larray/core/session.py
index 2da012716..efa8aa4ef 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -277,7 +277,7 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
             items = [(k, v) for k, v in items if k in names_set]
         handler.dump_arrays(items, display=display, **kwargs)
 
-    def to_globals(self, names=None, depth=0):
+    def to_globals(self, names=None, depth=0, warn=True):
         """
         Create global variables out of objects in the session.
 
@@ -285,17 +285,20 @@ def to_globals(self, names=None, depth=0):
         ----------
         names : list of str or None, optional
             List of names of objects to convert to globals. Defaults to all objects present in the Session.
-        depth : int
+        depth : int, optional
             depth of call stack where to create the variables. 0 is where to_globals was called, 1 the caller of
-            to_globals, etc.
+            to_globals, etc. Defaults to 0.
+        warn : bool, optional
+            Whether or not to warn the user that this method should only be used in an interactive console (see below).
 
         Notes
         -----
 
-        This should only ever be used in an interactive console and not in a script. Code editors are confused by this
-        kind of manipulation and will likely consider the code invalid. When using this method auto-completion,
-        "show definition", "go to declaration" and other similar code editor features will probably not work for
-        the variables created in this way and any variable derived from them.
+        This method should usually only be used in an interactive console and not in a script. Code editors are
+        confused by this kind of manipulation and will likely consider as invalid the code using variables created in
+        this way. Additionally, when using this method auto-completion, "show definition", "go to declaration" and
+        other similar code editor features will probably not work for the variables created in this way and any
+        variable derived from them.
 
         Examples
         --------
@@ -311,8 +314,9 @@ def to_globals(self, names=None, depth=0):
          a1   2   3
         """
         # noinspection PyProtectedMember
-        if not is_interactive_interpreter():
-            warnings.warn("Session.to_globals should only ever be used in interactive consoles and not in scripts",
+        if warn and not is_interactive_interpreter():
+            warnings.warn("Session.to_globals should usually only be used in interactive consoles and not in scripts. "
+                          "Use warn=False to deactivate this warning.",
                           RuntimeWarning, stacklevel=2)
         d = sys._getframe(depth + 1).f_globals
         items = self.items()
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index c14933eac..0719a4701 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -194,8 +194,9 @@ def test_to_globals(self):
         with pytest.warns(RuntimeWarning) as caught_warnings:
             self.session.to_globals()
         assert len(caught_warnings) == 1
-        assert caught_warnings[0].message.args[0] == "Session.to_globals should only ever be used in interactive " \
-                                                     "consoles and not in scripts"
+        assert caught_warnings[0].message.args[0] == "Session.to_globals should usually only be used in interactive " \
+                                                     "consoles and not in scripts. Use warn=False to deactivate this " \
+                                                     "warning."
         assert caught_warnings[0].filename == __file__
 
         self.assertIs(a, self.a)

From 5e738fa4358cd3da0981cc2b1f5edf97e810067f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 10:13:25 +0200
Subject: [PATCH 634/899] fixed excel.Range.sum (and other attributes from
 LArray)

---
 larray/io/excel.py         |  2 +-
 larray/tests/test_excel.py | 11 +++++++++++
 2 files changed, 12 insertions(+), 1 deletion(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index 45e200628..4b7f5e65f 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -446,7 +446,7 @@ def __dir__(self):
 
         def __getattr__(self, key):
             if hasattr(LArray, key):
-                return getattr(self.__larray__(), key)
+                return getattr(LArray(self.__array__()), key)
             else:
                 return getattr(self.xw_range, key)
 
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 89a7ab9b6..0a5f528f5 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -212,6 +212,17 @@ def test_aslarray(self):
             assert larray_equal(res1, arr1)
             assert res1.dtype == arr1.dtype
 
+    # this tests Range.__getattr__ with an LArray attribute
+    def test_aggregate(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            arr1 = ndrange((2, 3))
+            # no header so that we have an uniform dtype for the whole sheet
+            sheet['A1'] = arr1
+            res = sheet['A1:C2'].sum()
+            assert res == 15
+
 
 if __name__ == "__main__":
     pytest.main()

From 6e2f37bd0727609a93f18899dbe7b8e71b0aee1d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 12:13:30 +0200
Subject: [PATCH 635/899] fixed repr/str(excel.Range) by bringing back
 __larray__

---
 larray/io/excel.py         |  5 ++++-
 larray/tests/test_excel.py | 11 +++++++++++
 2 files changed, 15 insertions(+), 1 deletion(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index 4b7f5e65f..07f7104d2 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -441,12 +441,15 @@ def __index__(self):
         def __array__(self, dtype=None):
             return np.array(self._converted_value(), dtype=dtype)
 
+        def __larray__(self):
+            return LArray(self._converted_value())
+
         def __dir__(self):
             return list(set(dir(self.__class__)) | set(dir(self.xw_range)))
 
         def __getattr__(self, key):
             if hasattr(LArray, key):
-                return getattr(LArray(self.__array__()), key)
+                return getattr(self.__larray__(), key)
             else:
                 return getattr(self.xw_range, key)
 
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 0a5f528f5..586d54344 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -223,6 +223,17 @@ def test_aggregate(self):
             res = sheet['A1:C2'].sum()
             assert res == 15
 
+    def test_repr(self):
+        with open_excel(visible=False) as wb:
+            sheet = wb[0]
+
+            arr1 = ndrange((2, 3))
+            sheet['A1'] = arr1
+            res = repr(sheet['A1:C2'])
+            assert res == """\
+{0}*\{1}*  0  1  2
+        0  0  1  2
+        1  3  4  5"""
 
 if __name__ == "__main__":
     pytest.main()

From 193080dc110eaf79b69c7d2b0a6dd3f0721fe43d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 13:55:15 +0200
Subject: [PATCH 636/899] fix #318 : updated conf.py --> import larray and use
 larray.__version__ to set version and release

---
 doc/source/conf.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 3aaa5de82..82e442938 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -12,6 +12,7 @@
 #
 # All configuration values have a default; values that are commented out
 # serve to show the default.
+from __future__ import print_function
 
 import sys
 import os
@@ -21,6 +22,9 @@
 # documentation root, use os.path.abspath to make it absolute, like shown here.
 #sys.path.insert(0, os.path.abspath('.'))
 
+import larray
+print("larray: {}, {}".format(larray.__version__, larray.__file__))
+
 # -- General configuration ------------------------------------------------
 
 # If your documentation needs a minimal Sphinx version, state it here.
@@ -76,9 +80,9 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.23'
+version = larray.__version__
 # The full version, including alpha/beta/rc tags.
-release = '0.23'
+release = larray.__version__
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

From 1da586d494a62902006f83b79c5bc615f79782a3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 11:22:01 +0200
Subject: [PATCH 637/899] prepare for release

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/changes.rst       | 2 +-
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 71ff577c7..c96394245 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.23
+  version: 0.24
 
 source:
-  git_tag: 0.23
+  git_tag: 0.24
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 32a398c2b..c68dbeb18 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.24
 ============
 
-In development
+Released on 2017-06-14.
 
 .. include:: ./changes/version_0_24.rst.inc
 
diff --git a/larray/__init__.py b/larray/__init__.py
index ae87fbf1e..6b3966bef 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.23"
+__version__ = "0.24"
diff --git a/setup.py b/setup.py
index 9bdcf2474..b02e82bfb 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.23'
+VERSION = '0.24'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 62718ea523e0dfab884168a08fa83951d47f315d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 13 Jun 2017 10:16:31 +0200
Subject: [PATCH 638/899] fix #291 : excluding 0D arrays when saving a session.

---
 larray/io/session.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/larray/io/session.py b/larray/io/session.py
index 55ede973e..823ae8071 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -4,6 +4,7 @@
 from collections import OrderedDict
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
+from larray.core.abc import ABCLArray
 from larray.util.misc import pickle
 from larray.io.excel import open_excel
 from larray.io.array import df_aslarray, read_csv, read_hdf
@@ -114,6 +115,10 @@ def dump_arrays(self, key_values, *args, **kwargs):
         display = kwargs.pop('display', False)
         self._open_for_write()
         for key, value in key_values:
+            if isinstance(value, ABCLArray) and value.ndim == 0:
+                if display:
+                    print('Cannot dump {}. Dumping 0D arrays is not supported currently.'.format(key))
+                continue
             if display:
                 print("dumping", key, "...", end=' ')
             self._dump(key, value, *args, **kwargs)

From 8fddce51e89614506469184448bbb034d1d39512 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 13 Jun 2017 11:08:34 +0200
Subject: [PATCH 639/899] fix #313 : Session.save(file.xlsx) creates a new
 Excel file if it does not exist.

---
 larray/io/session.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/io/session.py b/larray/io/session.py
index 823ae8071..3ea54948c 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -117,7 +117,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
         for key, value in key_values:
             if isinstance(value, ABCLArray) and value.ndim == 0:
                 if display:
-                    print('Cannot dump {}. Dumping 0D arrays is not supported currently.'.format(key))
+                    print('Cannot dump {}. Dumping 0D arrays is currently not supported.'.format(key))
                 continue
             if display:
                 print("dumping", key, "...", end=' ')
@@ -187,7 +187,8 @@ def _open_for_read(self):
         self.handle = open_excel(self.fname)
 
     def _open_for_write(self):
-        self.handle = open_excel(self.fname)
+        overwrite_file = not os.path.isfile(self.fname)
+        self.handle = open_excel(self.fname, overwrite_file=overwrite_file)
 
     def list(self):
         return self.handle.sheet_names()

From bf2fe0d255d29a52d2b35864d1ef5cacb5ed1d43 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 13 Jun 2017 16:15:41 +0200
Subject: [PATCH 640/899] updated IO tests for Session

---
 larray/tests/test_session.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 0719a4701..f7646a227 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -1,5 +1,6 @@
 from __future__ import absolute_import, division, print_function
 
+import os
 from unittest import TestCase
 
 import numpy as np
@@ -161,7 +162,13 @@ def test_xlsx_pandas_io(self):
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
         fpath = abspath('test_session_xw.xlsx')
+        # test save when Excel does not exist
+        if os.path.isfile(fpath):
+            os.remove(fpath)
         self.session.save(fpath, engine='xlwings_excel')
+        # test save when Excel already exist
+        self.session.save(fpath, engine='xlwings_excel')
+
         s = Session()
         s.load(fpath, engine='xlwings_excel')
         # ordering is only kept if the file did not exist previously (otherwise the ordering is left intact)

From 324c8ba3becb5c11dbad0ca45ea277bec00d0296 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 10:51:50 +0200
Subject: [PATCH 641/899] fix #293 : added argument overwrite to Session.save
 method (defaults to True).

---
 larray/core/session.py | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index efa8aa4ef..980aa6023 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -194,7 +194,7 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         names : list of str, optional
             List of arrays to load. If `fname` is None, list of paths to CSV files.
             Defaults to all valid objects present in the file/directory.
-        engine : str, optional
+        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'xlwings_excel', 'pickle'}, optional
             Load using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         display : bool, optional
@@ -234,7 +234,7 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         for k, v in arrays.items():
             self[k] = v
 
-    def save(self, fname, names=None, engine='auto', display=False, **kwargs):
+    def save(self, fname, names=None, engine='auto', overwrite=True, display=False, **kwargs):
         """
         Dumps all array objects from the current session to a file.
 
@@ -245,12 +245,14 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. If `fname` is None, list of paths to CSV files.
             Defaults to all objects present in the Session.
-        engine : str, optional
+        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'xlwings_excel', 'pickle'}, optional
             Dump using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
+        overwrite: bool, optional
+            Whether or not to overwrite an existing file, if any. Only for non CSV files. 
+            If False, file is updated. Defaults to True.
         display : bool, optional
-            Whether or not to display which file is being worked on. Defaults
-            to False.
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
@@ -264,11 +266,18 @@ def save(self, fname, names=None, engine='auto', display=False, **kwargs):
         Save only some arrays
 
         >>> s.save('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
+        
+        Update one array
+        
+        >>> s['arr1'] = ndtest((3, 3))  # doctest: +SKIP
+        >>> s.save('output.h5', ['arr1'], overwrite=False)  # doctest: +SKIP
         """
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
             ext = ext.strip('.') if '.' in ext else 'csv'
             engine = ext_default_engine[ext]
+        if overwrite and engine != ext_default_engine['csv'] and os.path.isfile(fname):
+            os.remove(fname)
         handler_cls = handler_classes[engine]
         handler = handler_cls(fname)
         items = self.filter(kind=LArray).items()

From 99125d5803f0a26638606c646eb6d59bdc9b84fe Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 11:12:37 +0200
Subject: [PATCH 642/899] updated IO tests for Session (included case
 overwrite=False)

---
 larray/tests/test_session.py | 38 ++++++++++++++++++++++++++++++------
 1 file changed, 32 insertions(+), 6 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index f7646a227..64f868d06 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -32,6 +32,7 @@ def setUp(self):
         self.c = 'c'
         self.d = {}
         self.e = ndrange([(2, 'a0'), (3, 'a1')])
+        self.e2 = ndrange(('a=a0..a2', 'b=b0..b2'))
         self.f = ndrange([(3, 'a0'), (2, 'a1')])
         self.g = ndrange([(2, 'a0'), (4, 'a1')])
         self.session = Session([
@@ -135,13 +136,20 @@ def test_names(self):
 
     def test_h5_io(self):
         fpath = abspath('test_session.h5')
-
         self.session.save(fpath)
+
         s = Session()
         s.load(fpath)
         # HDF does *not* keep ordering (ie, keys are always sorted)
         self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
 
+        # update an array (overwrite=False)
+        s['e'] = self.e2
+        s.save(fpath, overwrite=False)
+        s.load(fpath)
+        self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
+        assert_array_nan_equal(s['e'], self.e2)
+
         s = Session()
         s.load(fpath, ['e', 'f'])
         self.assertEqual(list(s.keys()), ['e', 'f'])
@@ -149,10 +157,18 @@ def test_h5_io(self):
     def test_xlsx_pandas_io(self):
         fpath = abspath('test_session.xlsx')
         self.session.save(fpath, engine='pandas_excel')
+
         s = Session()
         s.load(fpath, engine='pandas_excel')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
+        # update an array (overwrite=False)
+        s['e'] = self.e2
+        s.save(fpath, engine='pandas_excel', overwrite=False)
+        s.load(fpath, engine='pandas_excel')
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
+        #assert_array_nan_equal(s['e'], self.e2)
+
         fpath = abspath('test_session_ef.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='pandas_excel')
         s = Session()
@@ -163,10 +179,6 @@ def test_xlsx_pandas_io(self):
     def test_xlsx_xlwings_io(self):
         fpath = abspath('test_session_xw.xlsx')
         # test save when Excel does not exist
-        if os.path.isfile(fpath):
-            os.remove(fpath)
-        self.session.save(fpath, engine='xlwings_excel')
-        # test save when Excel already exist
         self.session.save(fpath, engine='xlwings_excel')
 
         s = Session()
@@ -174,6 +186,13 @@ def test_xlsx_xlwings_io(self):
         # ordering is only kept if the file did not exist previously (otherwise the ordering is left intact)
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
+        # update an array (overwrite=False)
+        s['e'] = self.e2
+        s.save(fpath, engine='xlwings_excel', overwrite=False)
+        s.load(fpath, engine='xlwings_excel')
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
+        assert_array_nan_equal(s['e'], self.e2)
+
         fpath = abspath('test_session_ef_xw.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='xlwings_excel')
         s = Session()
@@ -191,12 +210,19 @@ def test_csv_io(self):
 
     def test_pickle_io(self):
         fpath = abspath('test_session.pkl')
-
         self.session.save(fpath)
+
         s = Session()
         s.load(fpath, engine='pickle')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
+        # update an array (overwrite=False)
+        s['e'] = self.e2
+        s.save(fpath, overwrite=False)
+        s.load(fpath, engine='pickle')
+        self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
+        assert_array_nan_equal(s['e'], self.e2)
+
     def test_to_globals(self):
         with pytest.warns(RuntimeWarning) as caught_warnings:
             self.session.to_globals()

From bcb5bd9e5f19e888d4c75c761403ac7b090b0b80 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 13 Jun 2017 16:00:42 +0200
Subject: [PATCH 643/899] updated changelog 0.24

---
 doc/source/changes/version_0_24.rst.inc | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index e3602cd09..482a52a34 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -18,6 +18,8 @@
      a0   0   1
      a1   2   3
 
+* added new boolean argument 'overwrite' to Session.save method. If True, overwrite existing file if any.
+  Otherwise, update the file. Defaults to True. Closes issue:`293`.
 
 Miscellaneous improvements
 --------------------------
@@ -63,3 +65,9 @@ Fixes
 * fixed getting float data instead of int when converting an Excel Sheet or Range to an larray or numpy array.
 
 * fixed some warning messages to point to the correct line in user code.
+
+* fixed crash of Session.save method when it contains a 0D array.
+  0D arrays are now skipped when saving a session (closes issue:`291`).
+
+* fixed Session.save and Session.to_excel failing to create new Excel file
+  (it only worked if the file already existed). Closes issue:`313`.

From c476b452ee205542ebd669d4916aa4cb7654a804 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 13:46:49 +0200
Subject: [PATCH 644/899] fixed bug in PandasExcelHandler._read_array --> added
 raw=True in call to df_aslarray function

---
 larray/io/session.py         | 2 +-
 larray/tests/test_session.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/io/session.py b/larray/io/session.py
index 3ea54948c..08f225428 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -169,7 +169,7 @@ def list(self):
 
     def _read_array(self, key, *args, **kwargs):
         df = self.handle.parse(key, *args, **kwargs)
-        return df_aslarray(df)
+        return df_aslarray(df, raw=True)
 
     def _dump(self, key, value, *args, **kwargs):
         kwargs['engine'] = 'xlsxwriter'
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 64f868d06..dfc2d9922 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -167,7 +167,7 @@ def test_xlsx_pandas_io(self):
         s.save(fpath, engine='pandas_excel', overwrite=False)
         s.load(fpath, engine='pandas_excel')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
-        #assert_array_nan_equal(s['e'], self.e2)
+        assert_array_nan_equal(s['e'], self.e2)
 
         fpath = abspath('test_session_ef.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='pandas_excel')

From cd6dd52e9c2438039ccfa9d589a56a3ba3f5e864 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 14:37:13 +0200
Subject: [PATCH 645/899] updated IO tests for Session

---
 larray/tests/test_session.py | 14 +++++---------
 1 file changed, 5 insertions(+), 9 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index dfc2d9922..18911b2bf 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -144,8 +144,7 @@ def test_h5_io(self):
         self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
 
         # update an array (overwrite=False)
-        s['e'] = self.e2
-        s.save(fpath, overwrite=False)
+        Session(e=self.e2).save(fpath, overwrite=False)
         s.load(fpath)
         self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
         assert_array_nan_equal(s['e'], self.e2)
@@ -163,8 +162,7 @@ def test_xlsx_pandas_io(self):
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
         # update an array (overwrite=False)
-        s['e'] = self.e2
-        s.save(fpath, engine='pandas_excel', overwrite=False)
+        Session(e=self.e2).save(fpath, engine='pandas_excel', overwrite=False)
         s.load(fpath, engine='pandas_excel')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
         assert_array_nan_equal(s['e'], self.e2)
@@ -178,7 +176,7 @@ def test_xlsx_pandas_io(self):
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
         fpath = abspath('test_session_xw.xlsx')
-        # test save when Excel does not exist
+        # test save when Excel file does not exist
         self.session.save(fpath, engine='xlwings_excel')
 
         s = Session()
@@ -187,8 +185,7 @@ def test_xlsx_xlwings_io(self):
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
         # update an array (overwrite=False)
-        s['e'] = self.e2
-        s.save(fpath, engine='xlwings_excel', overwrite=False)
+        Session(e=self.e2).save(fpath, engine='xlwings_excel', overwrite=False)
         s.load(fpath, engine='xlwings_excel')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
         assert_array_nan_equal(s['e'], self.e2)
@@ -217,8 +214,7 @@ def test_pickle_io(self):
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
 
         # update an array (overwrite=False)
-        s['e'] = self.e2
-        s.save(fpath, overwrite=False)
+        Session(e=self.e2).save(fpath, overwrite=False)
         s.load(fpath, engine='pickle')
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
         assert_array_nan_equal(s['e'], self.e2)

From 4d38a51f3844d9006d56ba550dfd547805525694 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 14:48:43 +0200
Subject: [PATCH 646/899] updated signature + doctstring of IO Session's
 methods.

---
 larray/core/session.py | 47 +++++++++++++++++++++++++++++-------------
 1 file changed, 33 insertions(+), 14 deletions(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index 980aa6023..b16c7c9e3 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -194,7 +194,7 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         names : list of str, optional
             List of arrays to load. If `fname` is None, list of paths to CSV files.
             Defaults to all valid objects present in the file/directory.
-        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'xlwings_excel', 'pickle'}, optional
+        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'pandas_excel', 'xlwings_excel', 'pickle'}, optional
             Load using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         display : bool, optional
@@ -245,11 +245,11 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
         names : list of str or None, optional
             List of names of objects to dump. If `fname` is None, list of paths to CSV files.
             Defaults to all objects present in the Session.
-        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'xlwings_excel', 'pickle'}, optional
+        engine : {'auto', 'pandas_csv', 'pandas_hdf', 'pandas_excel', 'xlwings_excel', 'pickle'}, optional
             Dump using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. Only for non CSV files. 
+            Whether or not to overwrite an existing file, if any. Ignored for CSV files. 
             If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
@@ -267,10 +267,12 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
 
         >>> s.save('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         
-        Update one array
+        Update file
         
-        >>> s['arr1'] = ndtest((3, 3))  # doctest: +SKIP
-        >>> s.save('output.h5', ['arr1'], overwrite=False)  # doctest: +SKIP
+        >>> arr1, arr4 = ndtest((3, 3)), ndtest((2, 3))     # doctest: +SKIP
+        >>> s2 = Session([('arr1', arr1), ('arr4', arr4)])  # doctest: +SKIP
+        >>> # replace arr1 and add arr4 in file output.h5
+        >>> s2.save('output.h5', overwrite=False)           # doctest: +SKIP
         """
         if engine == 'auto':
             _, ext = os.path.splitext(fname)
@@ -335,7 +337,7 @@ def to_globals(self, names=None, depth=0, warn=True):
         for k, v in items:
             d[k] = v
 
-    def to_pickle(self, fname, names=None, *args, **kwargs):
+    def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         Dumps all array objects from the current session to a file using pickle.
 
@@ -349,6 +351,11 @@ def to_pickle(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+        overwrite: bool, optional
+            Whether or not to overwrite an existing file, if any. 
+            If False, file is updated. Defaults to True.
+        display : bool, optional
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
@@ -363,13 +370,13 @@ def to_pickle(self, fname, names=None, *args, **kwargs):
 
         >>> s.to_pickle('output.pkl', ['arr1', 'arr3'])  # doctest: +SKIP
         """
-        self.save(fname, names, ext_default_engine['pkl'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['pkl'], overwrite, display, **kwargs)
 
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
         warnings.warn("Method dump is deprecated. Use method save instead.", DeprecationWarning, stacklevel=2)
         self.save(fname, names, engine, display, **kwargs)
 
-    def to_hdf(self, fname, names=None, *args, **kwargs):
+    def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         Dumps all array objects from the current session to an HDF file.
 
@@ -380,6 +387,11 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+        overwrite: bool, optional
+            Whether or not to overwrite an existing file, if any. 
+            If False, file is updated. Defaults to True.
+        display : bool, optional
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
@@ -394,13 +406,13 @@ def to_hdf(self, fname, names=None, *args, **kwargs):
 
         >>> s.to_hdf('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
         """
-        self.save(fname, names, ext_default_engine['hdf'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['hdf'], overwrite, display, **kwargs)
 
     def dump_hdf(self, fname, names=None, *args, **kwargs):
         warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", DeprecationWarning, stacklevel=2)
         self.to_hdf(fname, names, *args, **kwargs)
 
-    def to_excel(self, fname, names=None, *args, **kwargs):
+    def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         Dumps all array objects from the current session to an Excel file.
 
@@ -411,6 +423,11 @@ def to_excel(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+        overwrite: bool, optional
+            Whether or not to overwrite an existing file, if any. 
+            If False, file is updated. Defaults to True.
+        display : bool, optional
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
@@ -425,13 +442,13 @@ def to_excel(self, fname, names=None, *args, **kwargs):
 
         >>> s.to_excel('output.xlsx', ['arr1', 'arr3'])  # doctest: +SKIP
         """
-        self.save(fname, names, ext_default_engine['xlsx'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['xlsx'], overwrite, display, **kwargs)
 
     def dump_excel(self, fname, names=None, *args, **kwargs):
         warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", DeprecationWarning, stacklevel=2)
         self.to_excel(fname, names, *args, **kwargs)
 
-    def to_csv(self, fname, names=None, *args, **kwargs):
+    def to_csv(self, fname, names=None, display=False, **kwargs):
         """
         Dumps all array objects from the current session to CSV files.
 
@@ -442,6 +459,8 @@ def to_csv(self, fname, names=None, *args, **kwargs):
         names : list of str or None, optional
             List of names of objects to dump. Defaults to all objects
             present in the Session.
+        display : bool, optional
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
@@ -456,7 +475,7 @@ def to_csv(self, fname, names=None, *args, **kwargs):
 
         >>> s.to_csv('./Output', ['arr1', 'arr3'])  # doctest: +SKIP
         """
-        self.save(fname, names, ext_default_engine['csv'], *args, **kwargs)
+        self.save(fname, names, ext_default_engine['csv'], display=display, **kwargs)
 
     def dump_csv(self, fname, names=None, *args, **kwargs):
         warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", DeprecationWarning, stacklevel=2)

From 4c1b7f64a2e585c324796aacc34cf49edc320c71 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 15:08:21 +0200
Subject: [PATCH 647/899] updated changelog 0.24 (new argument overwrite ...)

---
 doc/source/changes/version_0_24.rst.inc | 22 ++++++++++++++++++++--
 1 file changed, 20 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 482a52a34..8ddc3c995 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -18,8 +18,26 @@
      a0   0   1
      a1   2   3
 
-* added new boolean argument 'overwrite' to Session.save method. If True, overwrite existing file if any.
-  Otherwise, update the file. Defaults to True. Closes issue:`293`.
+* added new boolean argument 'overwrite' to Session.save, Session.to_hdf, Session.to_excel and Session.to_pickle
+  methods (closes issue:`293`). If overwrite=True, the file is removed and replaced by a new one if it already existed.
+  This is the default behavior. If overwrite=False, its content is updated :
+
+    >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+    >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
+
+    >>> # save arr1, arr2 and arr3 in file output.h5
+    >>> s.save('output.h5')
+
+    >>> # replace arr1 and create arr4 + put them in an second session
+    >>> arr1, arr4 = ndtest((3, 3)), ndtest((2, 3))
+    >>> s2 = Session([('arr1', arr1), ('arr4', arr4)])
+
+    >>> # replace arr1 and add arr4 in file output.h5
+    >>> s2.save('output.h5', overwrite=False)
+
+    >>> # erase content of 'output.h5' and save only arrays contained in the second session
+    >>> s2.save('output.h5')
+
 
 Miscellaneous improvements
 --------------------------

From 596220760bec210ab598725b17d21a547e2af502 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Jun 2017 15:31:01 +0200
Subject: [PATCH 648/899] updated changelog 0.24

---
 doc/source/changes/version_0_24.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index 8ddc3c995..feabda650 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -89,3 +89,5 @@ Fixes
 
 * fixed Session.save and Session.to_excel failing to create new Excel file
   (it only worked if the file already existed). Closes issue:`313`.
+
+* fixed Session.load(file, engine='pandas_excel') : axes were considered as anonymous.

From fd70f3c297fcd83ac7f97783e243448efaef0bd8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 16:12:04 +0200
Subject: [PATCH 649/899] misc improvements to changelog

---
 doc/source/changes/version_0_24.rst.inc | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index feabda650..ae8e034ef 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -19,8 +19,9 @@
      a1   2   3
 
 * added new boolean argument 'overwrite' to Session.save, Session.to_hdf, Session.to_excel and Session.to_pickle
-  methods (closes issue:`293`). If overwrite=True, the file is removed and replaced by a new one if it already existed.
-  This is the default behavior. If overwrite=False, its content is updated :
+  methods (closes issue:`293`). If overwrite=True and the target file already existed, it is deleted and replaced by a
+  new one. This is the new default behavior. If overwrite=False, an existing file is updated (like it was in previous
+  larray versions):
 
     >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
     >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])
@@ -59,7 +60,7 @@ Miscellaneous improvements
     >>> wb = open_excel()
     >>> wb['Sh<tab>  # will be completed to `wb['Sheet1`
 
-* added documentation to methods of Session class (closes :issue:`277`)
+* added documentation for Session methods (closes :issue:`277`).
 
 * allowed to provide explict names for arrays or sessions in compare(). Closes :issue:`307`.
 
@@ -69,9 +70,9 @@ Fixes
 
 * fixed title argument of `ndtest` creation function: title was not passed to the returned array.
 
-* fixed create_sequential when arguments initial and inc are array and scalar respectively (closes issue:`288`)
+* fixed create_sequential when arguments initial and inc are array and scalar respectively (closes issue:`288`).
 
-* fixed autocompletion of attributes of LArray and Group objects (closes issue:`302`)
+* fixed auto-completion of attributes of LArray and Group objects (closes issue:`302`).
 
 * fixed name of arrays/sessions in compare() not being inferred correctly (closes :issue:`306`).
 
@@ -84,10 +85,10 @@ Fixes
 
 * fixed some warning messages to point to the correct line in user code.
 
-* fixed crash of Session.save method when it contains a 0D array.
-  0D arrays are now skipped when saving a session (closes issue:`291`).
+* fixed crash of Session.save method when it contained 0D arrays. They are now skipped when saving a session (closes
+  issue:`291`).
 
-* fixed Session.save and Session.to_excel failing to create new Excel file
-  (it only worked if the file already existed). Closes issue:`313`.
+* fixed Session.save and Session.to_excel failing to create new Excel files (it only worked if the file already
+  existed). Closes issue:`313`.
 
 * fixed Session.load(file, engine='pandas_excel') : axes were considered as anonymous.

From 8b9b899972af03d7d4922cbf85260801592d9380 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 16:52:33 +0200
Subject: [PATCH 650/899] updated the tutorial to use version 0.24 syntax.

---
 doc/source/changes.rst                    |   8 +
 doc/source/changes/version_0_24_1.rst.inc |   4 +
 doc/source/notebooks/LArray_intro.ipynb   | 676 +++++++---------------
 3 files changed, 219 insertions(+), 469 deletions(-)
 create mode 100644 doc/source/changes/version_0_24_1.rst.inc

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index c68dbeb18..01b6a2e74 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.24.1
+============
+
+Released on 2017-06-14.
+
+.. include:: ./changes/version_0_24_1.rst.inc
+
+
 Version 0.24
 ============
 
diff --git a/doc/source/changes/version_0_24_1.rst.inc b/doc/source/changes/version_0_24_1.rst.inc
new file mode 100644
index 000000000..04cff855d
--- /dev/null
+++ b/doc/source/changes/version_0_24_1.rst.inc
@@ -0,0 +1,4 @@
+Fixes
+-----
+
+* updated the tutorial to use version 0.24 syntax.
diff --git a/doc/source/notebooks/LArray_intro.ipynb b/doc/source/notebooks/LArray_intro.ipynb
index 22940b47c..7f54d044e 100644
--- a/doc/source/notebooks/LArray_intro.ipynb
+++ b/doc/source/notebooks/LArray_intro.ipynb
@@ -32,7 +32,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
-    "collapsed": false,
+    "collapsed": true,
     "nbsphinx": "hidden"
    },
    "outputs": [],
@@ -79,9 +79,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -142,32 +140,30 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "age*  sex  time\\other  A01  A02  A03  B01  B02  B03  C01  C02  C03\n",
-       "   0    M        2007   43    4   66   33   48   81    9    5   38\n",
-       "   0    M        2008   51    3   23   77   54   43   40   22    7\n",
-       "   0    M        2009   40   61   38   47   47   39   51   30   48\n",
-       "   0    F        2007   35    3   71   72   11   30    1   45   33\n",
-       "   0    F        2008    8   24   74    0   35   89   75   41   89\n",
-       "   0    F        2009    3   87   44   11   65   85    1   22   18\n",
-       "   1    M        2007   23   84   57    2    0    5   58   84   26\n",
-       "   1    M        2008   84   53   80   26   77   33   53   18   37\n",
-       "   1    M        2009   43   70   42   30   16   71   37    6   25\n",
-       "   1    F        2007   26   98   30   39   94   48   71   15   38\n",
-       "   1    F        2008    7   61   59   15   72   58   15   82   21\n",
-       "   1    F        2009   29   70    5   42   79   87   53    7   41\n",
-       "   2    M        2007   59   85   71   86   56   57   66    6   89\n",
-       "   2    M        2008   10   20   82   18   47   61   70   84    8\n",
-       "   2    M        2009   24   32   78    8   92   92   41   40   24\n",
-       "   2    F        2007   16   10   49   61   22   77   73   29   42\n",
-       "   2    F        2008   39   45   16   87   27   38   35   98   74\n",
-       "   2    F        2009   71   18    8   64   12   36   34   90   80"
+       "   0    M        2007   95    3   14    7   34   65   90   79   94\n",
+       "   0    M        2008   13    9   66   11   44   93   78    2   27\n",
+       "   0    M        2009   93   16   72   70   73   79   98   50   48\n",
+       "   0    F        2007   36   73   13    7   92   21   72   92   52\n",
+       "   0    F        2008   84   77   42   36    7   95   61    4   72\n",
+       "   0    F        2009   90   69    4   21   63   35   53   42   43\n",
+       "   1    M        2007   85   31   95   23   48   29   29   76   46\n",
+       "   1    M        2008   61   93   79   37   83   48   64   57    3\n",
+       "   1    M        2009   38   43   10   39   13   77   32    0   28\n",
+       "   1    F        2007   32   35   43   69    6   49    3   81   20\n",
+       "   1    F        2008   84   66   16   18   86   25   77   87   14\n",
+       "   1    F        2009   79    5   39    5   79   21   17   50   86\n",
+       "   2    M        2007   79   77   70   42   52   88   39   73   76\n",
+       "   2    M        2008   20   45   97   41   76   41   61   49   83\n",
+       "   2    M        2009   32   10   33   33   22   92   49   59   36\n",
+       "   2    F        2007   55   93   35   78    9   86   30   78   46\n",
+       "   2    F        2008   81   28    4   43   86   48   15   19   84\n",
+       "   2    F        2009   91   23   66   31   60    0   22   57   70"
       ]
      },
      "execution_count": 5,
@@ -220,9 +216,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -249,9 +243,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -276,20 +268,18 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "age  sex\\time                     2007                     2008                    2009\n",
-       "  0         M   2.439987165725474e-152  2.3146174050789592e-152  9.311152243558189e+242\n",
-       "  0         F   1.175673664932327e+214   1.414807375125991e+161  8.026288117339919e+165\n",
-       "  1         M   8.422441897317246e+252   7.492295173108775e+247  2.875046757826351e+161\n",
-       "  1         F   7.266079505816696e+223   6.901354338413896e+212  5.944007193326606e+175\n",
-       "  2         M    8.968625263359706e-96   2.875046278102646e+161  6.805616589504441e+212\n",
-       "  2         F  2.8751819670889737e+161  2.6462421788901364e-260    8.8289367109041e+199"
+       "age  sex\\time                     2007                     2008                     2009\n",
+       "  0         M   6.230420704259778e-307   1.691181076779588e-306   6.230600651523322e-307\n",
+       "  0         F  1.1126116245933921e-306   8.901042388048433e-307  1.2238924786374796e-307\n",
+       "  1         M  1.3351128989615333e-306   8.900920161505356e-307   1.246103833542769e-306\n",
+       "  1         F  1.6911810776084946e-306   8.066321387750432e-308   1.201607109425611e-306\n",
+       "  2         M   1.691193300407861e-306  2.2252259653414015e-306  1.3351217265572842e-306\n",
+       "  2         F  1.4241722147948553e-306   8.010924569309844e-307   7.231685266481017e-308"
       ]
      },
      "execution_count": 8,
@@ -307,9 +297,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -336,9 +324,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -365,9 +351,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -394,14 +378,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "All the above function exist in *{func}_like* variants which takes axes from another array"
+    "All the above functions exist in *{func}_like* variants which take axes from another array"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -442,23 +425,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Create Sequential"
+    "### Sequence"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The special **create_sequencial** function allows you to create an array from an axis by iteratively applying a function to a given initial value. \n",
+    "The special **sequence** function allows you to create an array from an axis by iteratively applying a function to a given initial value. \n",
     "You can choose between **inc** and **mult** functions or define your own."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -474,15 +455,13 @@
    ],
    "source": [
     "# With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... \n",
-    "create_sequential('sex=M,F', initial=1.0, inc=0.5)"
+    "sequence('sex=M,F', initial=1.0, inc=0.5)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -498,15 +477,13 @@
    ],
    "source": [
     "# With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... \n",
-    "create_sequential('age=0..2', initial=1.0, mult=2.0) "
+    "sequence('age=0..2', initial=1.0, mult=2.0) "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -522,7 +499,7 @@
    ],
    "source": [
     "# Using your own function\n",
-    "create_sequential('time=2007..2009', initial=2.0, func=lambda value: value**2)"
+    "sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)"
    ]
   },
   {
@@ -535,9 +512,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -554,22 +529,20 @@
    ],
    "source": [
     "birth = LArray([1.05, 1.15], 'sex=M,F')\n",
-    "cumulate_newborns = create_sequential('time=2007..2009', initial=0.0, inc=birth)\n",
+    "cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)\n",
     "cumulate_newborns"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "sex\\age     80                 81                 82                 83\n",
-       "      M   90.0  86.39999999999999  82.94399999999999  79.62623999999998\n",
+       "      M   90.0  86.39999999999999             82.944           79.62624\n",
        "      F  100.0               98.0  96.03999999999999  94.11919999999999"
       ]
      },
@@ -581,7 +554,7 @@
    "source": [
     "initial = LArray([90, 100], 'sex=M,F') \n",
     "survival = LArray([0.96, 0.98], 'sex=M,F')\n",
-    "pop = create_sequential('age=80..83', initial=initial, mult=survival)\n",
+    "pop = sequence('age=80..83', initial=initial, mult=survival)\n",
     "pop"
    ]
   },
@@ -603,7 +576,7 @@
    "cell_type": "code",
    "execution_count": 18,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -620,9 +593,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -656,7 +627,6 @@
    "cell_type": "code",
    "execution_count": 20,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -692,9 +662,7 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -753,7 +721,7 @@
    "cell_type": "code",
    "execution_count": 23,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -775,7 +743,7 @@
    "cell_type": "code",
    "execution_count": 24,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -793,9 +761,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -839,7 +805,7 @@
    "cell_type": "code",
    "execution_count": 26,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -857,7 +823,7 @@
    "cell_type": "code",
    "execution_count": 27,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -943,7 +909,7 @@
    "cell_type": "code",
    "execution_count": 31,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -960,9 +926,7 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1000,9 +964,7 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1046,18 +1008,16 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{0}*\\{1}*    0     1\n",
-       "        0  0.0   1.0\n",
-       "        1  3.0   4.0\n",
-       "        2  6.0   7.0\n",
-       "        3  9.0  10.0"
+       "{0}*\\{1}*  0   1\n",
+       "        0  0   1\n",
+       "        1  3   4\n",
+       "        2  6   7\n",
+       "        3  9  10"
       ]
      },
      "execution_count": 34,
@@ -1080,9 +1040,7 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1109,15 +1067,13 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{0}*     0     1\n",
-       "      18.0  22.0"
+       "{0}*   0   1\n",
+       "      18  22"
       ]
      },
      "execution_count": 36,
@@ -1149,9 +1105,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "source": [
     "In the future, we should also be able to set font name, size, style, etc."
    ]
@@ -1178,7 +1132,7 @@
    "cell_type": "code",
    "execution_count": 39,
    "metadata": {
-    "collapsed": false,
+    "collapsed": true,
     "nbsphinx": "hidden"
    },
    "outputs": [],
@@ -1197,9 +1151,7 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1232,7 +1184,7 @@
    "cell_type": "code",
    "execution_count": 41,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1249,9 +1201,7 @@
   {
    "cell_type": "code",
    "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1278,9 +1228,7 @@
   {
    "cell_type": "code",
    "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1307,9 +1255,7 @@
   {
    "cell_type": "code",
    "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1339,7 +1285,7 @@
    "cell_type": "code",
    "execution_count": 45,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1357,7 +1303,7 @@
    "cell_type": "code",
    "execution_count": 46,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1395,9 +1341,7 @@
   {
    "cell_type": "code",
    "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1425,9 +1369,7 @@
   {
    "cell_type": "code",
    "execution_count": 48,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1456,9 +1398,7 @@
   {
    "cell_type": "code",
    "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1488,9 +1428,7 @@
   {
    "cell_type": "code",
    "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1516,9 +1454,7 @@
   {
    "cell_type": "code",
    "execution_count": 51,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1553,7 +1489,6 @@
    "cell_type": "code",
    "execution_count": 52,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1594,7 +1529,6 @@
    "cell_type": "code",
    "execution_count": 53,
    "metadata": {
-    "collapsed": false,
     "raw_mimetype": "text/restructuredtext"
    },
    "outputs": [
@@ -1620,9 +1554,7 @@
   {
    "cell_type": "code",
    "execution_count": 54,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1655,7 +1587,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Speciale variable x"
+    "### Special variable x"
    ]
   },
   {
@@ -1674,7 +1606,6 @@
    "cell_type": "code",
    "execution_count": 55,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1733,9 +1664,7 @@
   {
    "cell_type": "code",
    "execution_count": 56,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1760,9 +1689,7 @@
   {
    "cell_type": "code",
    "execution_count": 57,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1786,9 +1713,7 @@
   {
    "cell_type": "code",
    "execution_count": 58,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1824,9 +1749,7 @@
   {
    "cell_type": "code",
    "execution_count": 59,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1848,9 +1771,7 @@
   {
    "cell_type": "code",
    "execution_count": 60,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1879,9 +1800,7 @@
   {
    "cell_type": "code",
    "execution_count": 61,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1944,9 +1863,7 @@
   {
    "cell_type": "code",
    "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1981,9 +1898,7 @@
   {
    "cell_type": "code",
    "execution_count": 63,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2036,9 +1951,7 @@
   {
    "cell_type": "code",
    "execution_count": 64,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2071,9 +1984,7 @@
   {
    "cell_type": "code",
    "execution_count": 65,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2110,9 +2021,7 @@
   {
    "cell_type": "code",
    "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2161,9 +2070,7 @@
   {
    "cell_type": "code",
    "execution_count": 67,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2187,9 +2094,7 @@
   {
    "cell_type": "code",
    "execution_count": 68,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2236,9 +2141,7 @@
   {
    "cell_type": "code",
    "execution_count": 69,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2266,9 +2169,7 @@
   {
    "cell_type": "code",
    "execution_count": 70,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2287,9 +2188,7 @@
   {
    "cell_type": "code",
    "execution_count": 71,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2337,9 +2236,7 @@
   {
    "cell_type": "code",
    "execution_count": 72,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2386,9 +2283,7 @@
   {
    "cell_type": "code",
    "execution_count": 73,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2418,9 +2313,7 @@
   {
    "cell_type": "code",
    "execution_count": 74,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -2446,9 +2339,7 @@
   {
    "cell_type": "code",
    "execution_count": 75,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2491,9 +2382,7 @@
   {
    "cell_type": "code",
    "execution_count": 76,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2521,9 +2410,7 @@
   {
    "cell_type": "code",
    "execution_count": 77,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2538,16 +2425,14 @@
     }
    ],
    "source": [
-    "age_limit = create_sequential('sex=M,F', initial=5, inc=5)\n",
+    "age_limit = sequence('sex=M,F', initial=5, inc=5)\n",
     "age_limit"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 78,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2589,9 +2474,7 @@
   {
    "cell_type": "code",
    "execution_count": 79,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2620,9 +2503,7 @@
   {
    "cell_type": "code",
    "execution_count": 80,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2665,9 +2546,7 @@
   {
    "cell_type": "code",
    "execution_count": 81,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2717,9 +2596,7 @@
   {
    "cell_type": "code",
    "execution_count": 82,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2767,9 +2644,7 @@
   {
    "cell_type": "code",
    "execution_count": 83,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2803,9 +2678,7 @@
   {
    "cell_type": "code",
    "execution_count": 84,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2853,9 +2726,7 @@
   {
    "cell_type": "code",
    "execution_count": 85,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2878,9 +2749,7 @@
   {
    "cell_type": "code",
    "execution_count": 86,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2921,9 +2790,7 @@
   {
    "cell_type": "code",
    "execution_count": 87,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -2971,9 +2838,7 @@
   {
    "cell_type": "code",
    "execution_count": 88,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3006,9 +2871,7 @@
   {
    "cell_type": "code",
    "execution_count": 89,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3036,9 +2899,7 @@
   {
    "cell_type": "code",
    "execution_count": 90,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3071,9 +2932,7 @@
   {
    "cell_type": "code",
    "execution_count": 91,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3120,9 +2979,7 @@
   {
    "cell_type": "code",
    "execution_count": 92,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3152,9 +3009,7 @@
   {
    "cell_type": "code",
    "execution_count": 93,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3205,9 +3060,7 @@
   {
    "cell_type": "code",
    "execution_count": 94,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3242,9 +3095,7 @@
   {
    "cell_type": "code",
    "execution_count": 95,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3277,9 +3128,7 @@
   {
    "cell_type": "code",
    "execution_count": 96,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3316,9 +3165,7 @@
   {
    "cell_type": "code",
    "execution_count": 97,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3340,9 +3187,7 @@
   {
    "cell_type": "code",
    "execution_count": 98,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3369,9 +3214,7 @@
   {
    "cell_type": "code",
    "execution_count": 99,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3402,9 +3245,7 @@
   {
    "cell_type": "code",
    "execution_count": 100,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3452,9 +3293,7 @@
   {
    "cell_type": "code",
    "execution_count": 101,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3487,9 +3326,7 @@
   {
    "cell_type": "code",
    "execution_count": 102,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3522,9 +3359,7 @@
   {
    "cell_type": "code",
    "execution_count": 103,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3558,7 +3393,6 @@
    "cell_type": "code",
    "execution_count": 104,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -3600,9 +3434,7 @@
   {
    "cell_type": "code",
    "execution_count": 105,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3650,9 +3482,7 @@
   {
    "cell_type": "code",
    "execution_count": 106,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3694,9 +3524,7 @@
   {
    "cell_type": "code",
    "execution_count": 107,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -3724,9 +3552,7 @@
   {
    "cell_type": "code",
    "execution_count": 108,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3759,9 +3585,7 @@
   {
    "cell_type": "code",
    "execution_count": 109,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3795,9 +3619,7 @@
   {
    "cell_type": "code",
    "execution_count": 110,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3830,9 +3652,7 @@
   {
    "cell_type": "code",
    "execution_count": 111,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3865,9 +3685,7 @@
   {
    "cell_type": "code",
    "execution_count": 112,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3900,9 +3718,7 @@
   {
    "cell_type": "code",
    "execution_count": 113,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3935,9 +3751,7 @@
   {
    "cell_type": "code",
    "execution_count": 114,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -3977,9 +3791,7 @@
   {
    "cell_type": "code",
    "execution_count": 115,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4001,9 +3813,7 @@
   {
    "cell_type": "code",
    "execution_count": 116,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4027,9 +3837,7 @@
   {
    "cell_type": "code",
    "execution_count": 117,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4052,9 +3860,7 @@
   {
    "cell_type": "code",
    "execution_count": 118,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4101,9 +3907,7 @@
   {
    "cell_type": "code",
    "execution_count": 119,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4135,9 +3939,7 @@
   {
    "cell_type": "code",
    "execution_count": 120,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4163,9 +3965,7 @@
   {
    "cell_type": "code",
    "execution_count": 121,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4211,9 +4011,7 @@
   {
    "cell_type": "code",
    "execution_count": 122,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4253,9 +4051,7 @@
   {
    "cell_type": "code",
    "execution_count": 123,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4302,9 +4098,7 @@
   {
    "cell_type": "code",
    "execution_count": 124,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4326,9 +4120,7 @@
   {
    "cell_type": "code",
    "execution_count": 125,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4381,9 +4173,7 @@
   {
    "cell_type": "code",
    "execution_count": 126,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4444,9 +4234,7 @@
   {
    "cell_type": "code",
    "execution_count": 127,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4502,9 +4290,7 @@
   {
    "cell_type": "code",
    "execution_count": 128,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4544,9 +4330,7 @@
   {
    "cell_type": "code",
    "execution_count": 129,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4585,9 +4369,7 @@
   {
    "cell_type": "code",
    "execution_count": 130,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4633,14 +4415,12 @@
   {
    "cell_type": "code",
    "execution_count": 131,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2896f0b1898>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2e4c8b13160>"
       ]
      },
      "execution_count": 131,
@@ -4649,9 +4429,9 @@
     },
     {
      "data": {
-      "image/png": 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pQpj74+mFEEKIGis5OZnu3bvj6enJ9OnTyc/PZ/78+QQHB7Nt2zZatmxZ1DYzM5Pu3btT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FAI7r0XHn3U9ji99JJdj6Y5VVVtJTv7XCyriqysD0hJObnRfu8VFnLxhg1M6tKFucOG4Wrkxp9Y\n/gS3fXQbT577JLeOvbVFY04oofpas2YNo0aNoqXfx2vKyxm1evVhHdPqUaMYmZLSJue65557eOyx\nxwiHwyilOOWUU5g4cSIPPfQQb7/9NpMnT27y2GAwSHJyMtOnT+e5555r9joDBgwgKyuL+fPns3Ll\nSr73ve+xdu1aLrroIi677DIefvhhXnzxRaZPn86qVauafdYH+pnUfA6MEpE1LX0WrVECOJpRRUUF\nX375ZQxCli9fzt69ewHo379/HICcfPLJeDyeNrluXQW/DVK6uJTSRaU2gGy3AcQ3zEfaGWk2hJye\nhiv9OwIgu3fbsRKzZsHWrdC3rx0Mcc01MHBgs4daYYut/9nP1kdySf62jHw8LOnciz439uSqm5z0\n7t2G46yqgr/9Df78Z3t+7733wk032fEfLdCSJXYYS2EhPPEETJ9ux300pXC4gJycH1FVtZnMzHl0\n7tx4INn7RUX8eP16zuvcmdczMxuFjjv+ewePL3ucuZfM5dLMS1s03oQSqqvWAkeVabK5FYHXB6Mh\nPh8+XW+z8wUCATZs2IDf7yczM5O7776bP//5z2zYsIEhQ4Y0e2x6ejrjx49n3rx5zfarCxwAgwYN\nok+fPixevJi1a9cyYsSIYwo4jrorpK0WDkPir/qyLEt27dolc+fOldtvv13GjRsnHo9HAHE6nTJ6\n9Gi55ZZbZPbs2bJ169bD4guv3l0te2fvlc3Xb5blg5fbLhgWyoohK2TzTzfL3jl7JZjXfMGvDqFD\ndLmUrgjIookb5RNtkXzIYvkVm+Xq8eXy5pt2wrE2U36+PUZNs6fTvvNOixOHlZXZM29B5IILRPYe\nYOaqYVTIunWTZNEih+Tnz2qy3/uFheJatEgmZ2c36l4xLVN+8uZPxPVHlyzcubBFY00oobrqyDEc\nTWn06NHSt2/fA/YrLy8XTdPkxhtvPGDfui4VEZF77rkn5vav0bHkUjnqoNBmN3IEgKMxhUIhWbVq\nlTz11FMydepUGTRoUCwgtUuXLjJp0iR54IEH5KOPPoqbt91WCuYGZe+cvbL5p5tlxZAVMQBZPmi5\nbL5+s+ydvVeqd1e3+XXblQ6hlktob0g2371TPvbbAbyPs1Ympe6TX91mycaNbTjG7Gx7fCByxhmt\nKiP77rsi3brZyzvvNN/XNCOyefMMWbgQ+eabB5uE3g8LC8W9aJFckJ0twUaeUcgIyVkvnSX+h/2S\nvbf5lOoJJVRf3zXgeO2110QpJX/7299ibcFgUMrLyxv0veOOO0TTNHn33XcPeN76wLFr1y65//77\nZcGCBbG2BHB8h4CjMRUWFsoHH3wg9957r0ycOFHS0tJiEDJkyBCZNm2aPPPMM7J27VqJRNo2WVUw\nPygFcwvk65u/lhWZtQCybOAy2TR9k+S/mC/VuzowgBzkLBczZMreOXtlyYmrZSELZa72hVzBLjlz\ndFhmzrRTkx+yLEvkgw/suvVKiVxzjciePS06tKBAZPJk+5amTxcJBJq7jCU7d94vCxcimzf/VEyz\n8d+xBUVF4l60SM5ft65R6AgEA3LSsydJr8d7ya7SXS0aZ0IJiXRs4Pjss8/krLPOkkcffVRmzpwp\nM2bMEIfDIeeff37czJNvvvlGOnXqJDfffLM8+eST8uSTT8qkSZNEKSXnn39+i65VHzga06xZs46Z\n1OZHHRTa7EaiwNHrV73kwjkXyu8//b28vv512bR/kxjm0a11YpqmbN68WV588UW56aabZOTIkaLr\nugDi8/lk/Pjxcscdd8i8efNkTwtfQC1VaF9I9s3bJ1tu3SIrs1bWAkj/ZbLxmo2S90KeVO2o6nhT\nIQ/B5VL2ZZmsn7pR/udYJP/VFsuv2SzDveUyY4bIsmUHVUolXpGIyD//aReF8/lE7r3XLhbXglua\nOVMkOVmkf3+Rzz5rvn9e3vOycKEu2dkXiGE0fv6PiorEs3ixTFq3TqobieLPL8+X/k/0l6FPDZWi\nqqKW3F1CCXVo4Ni+fbuce+650r17d/F6vTJs2DB59NFHG/zzWFpaKldffbUMHjxYkpOTxev1SlZW\nljzyyCMtnvk4YMAAmTx5crN9jiULR4cLGr3qqaso8BeQXZDN3go7wNPj8JDZLZOs9CxGdB/BiPQR\nZKVn0T2p+1Ebb1VVFWvWrIkLSN2zZw8AGRkZsWDUU089lVGjRuHz+drkupGiCKWf2QGogcUBKtZV\ngIC7rzsWgJp2Rhqe4zzHTn7+A+kgZ7mE94XJ/3c+3/4jF7MgzCa3n9dCvSke2oVrZ2hcdZWdNfSg\nFQjAn/5kR4V27QoPPWRHih5g2syOHXaM7Oefwx132HnH3O7G+xYVLWDDhktISsokK+s9XK6GA/64\nuJjJ69fzg7Q03srMxFMvsG5L0RbGzRzHkK5D+Piqj/E6GyY9Siihumpt0GhCh1/tIWi0zYFDKfVb\n4CJgCFANfAHcJSJb6vV7AJgBpAGfAzeJyLY6n7uBvwKXA27gI+BmEWlYwYbGZ6nsr9xPzr4csguy\nySnIIXtfNuv3rSdo2DM90pPSbfjonsWIdBtEhnYbisfR9rNNWqK8vLwYfKxYsYJVq1ZRVVWFruuM\nGDEiblbM4MGD0dpgPmekJEJgSSA2E6biqwqwwJXhisFH2ulpeAcdQwWCmtNBzHKxIhaFbxey5+97\nKPuijHKfm9dDvfhQ9eSMC13MmGHXczvoAPidO+G3v4W5c+Hkk+Hxx+EHP2j2ENOEv/zFnnE7dCjM\nng1ZWY33LS9fTXb2+TgcKYwYsQCvt+F9flJczAXr13NGWhpvNwIdK/as4Icv/ZBzBp7DvEvnoWtt\nF+2fUMdTAjjanzoqcHwAzAG+BBzAw8BwYKiIVEf73AXcBVwNfAM8CGRF+4SjfZ4BzgOuAcqApwFT\nRMY3cd0WTYs1LZPtJdvjICS7IJsdJTsA0JXO4C6DG4BIX3/fI/7CNQyDDRs2xFlBNm3aBEBaWhpj\nxoyJg5AuXboc+jUDBoGlgdg03PLV5TaA9LQBxH+6n7Qz0vCd4Du2AUQEli2zwWPuXCgrg/HjbavH\npZdCE/P1y9eUk/uPXArmFGBaihVJ3ZlZmkG4TwrTpsG118KAAQc5pmXL4PbbYflymDzZTsZxwgnN\nHrJuHUydClu22AaS225rHHyqq3eSnX0uhlFCVtZ7pKaOadDn05ISLsjJYYLfzzvDhzeAjve3vM+F\nr13IDaNu4OlJTx/bP/+EDqsSwNH+1CGBo8EFlOoK7AMmiMjSaFse8JiI/C26nwoUANeIyOvR/f3A\nFSLydrTPCcAm4FQRWdnIdQ4pD0d5qJwN+zc0AJHSYCkAqe7UGIDUrId3H47f42/9QzkElZaWsmrV\nqjhLSGFhIQDHH398HICceOKJuFyHlp/DKDMIfF5rASn/shxMcKY7SZtQawHxDTuGAeQgXC7h/ba7\nJe+ZPEJ7Quzr4eeF0gz+G+zKD87UmDED/t//s8vDtEoi8PrrcNddkJsLN98Mf/gDNAOTwaBt6Xj8\ncZuZXnzRrs/SYMzhQtavn0xFxTqGDZtL164/atDnfyUl/Cgnh/FR6PDWg47n1z7PdfOv48EfPMjd\nE+5u5c0l9F1RAjjan74rwHE88DWQJSIblVIDgO3ASSKSXaffImCtiNymlPoh8DHQSUTK6vT5Bvib\niPy9keu0eeIvESG3PJfsAhs+atwzmws3Y1h2xdd+/n4NrCGDugzCoR2Zgjoiws6dO+OsIGvXriUS\nieB2uxk5cmQMQMaOHUu/fv0OCQyMCoOyL8pqLSCrypGI4OzqtK0f0TiQpOFJKO0YBJBWulwsw6Lw\nnUJyn8wlsCSA0cnNwtRePL2rJ1onF1OnwnXXwYkntnIcwaBdkfahh2yTxT332FlLmwHIxYvtEJCS\nEnjySXvI9X/UplnNpk1XUlg4n8GDn6VXr+sbnGdhSQnn5+Rwmt/Pu41Axx8X/5E/LPoDz09+nmtP\nvraVN5bQd0EJ4Gh/6vDAoew32/8BKSJyerTte8BSoJeIFNTpOxewRGSKUmoK8LyIeOudbwXwPxH5\nbSPXanPgaEphM8zmws0NrCF55XkAuHU3w7oNawAi6cmHJx16fQWDQb766qs4K0hNlcH09PQ4K8jo\n0aNJOYR0v2alSWBZIJaKvWxFGRIWHJ0dMQuI/3Q/ySOSjy0AOQiXS/lXtrtl36v7sCxhz+B0nsrL\nYEVxCqecYoPHlCngb41RbN8+O0vpc8/ZvppHH4WLLmoy7WggAL/4hW3luOgi+Ne/Gga2iphs3foL\n8vKepl+/e+jf//4GELooCh3jotBRN0OjiHDT+zfxnzX/Yf6U+UwaNKkVN5TQd0EJ4Gh/+i4AxzPA\nROD7IpIfbTvmgaMpFVUVNRqkWhWxU/Z283WLwUcNiAzrNuyIRP3v27cvDkBWrlxJeXk5SikyMzPj\nZsUMHToU/SAjIM1qk7LltRaQsuVlSEhwpDnwT6i1gCSflIzSjxEAaaXLJVIUIf8/+eQ+nUtodwhj\naCoLvL15cm1XHB6NSy6x4WPChObTlcdpwwZ7SsqHH9rg89e/wimnNNn97bfhhhts48h//gM/quc9\nERF2736UHTt+Q48e0xg8+Dk0LT7t+uLSUiZlZ3Nqair/l5UVBx2mZXLx6xfz8Y6PWXjNQsZkNIwJ\nSei7qwRwtD91aOBQSj0FXACMF5Fv67S3xKXyA+ATDsKlMmHCBPz1/oWcMmUKU6ZMacvba7EssdhR\nsqOBW2Z78XYEQVMagzoPagAi/dL6oam2rCoWr+aK1SUnJzcISD3YYnVm0KR8RbkdA7K4lLIvyrCC\nFrpfx3+aP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g4lhmWwtWhrAxDZFbD/0ByagyFdhzQAkYyUjBa/ZFparK5m6dGj6ZogwW/j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\nCwAAAABJRU5ErkJggg==\n",
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JMpoH6e6dz3MfFEXRv4zlvlu3bp1pue/p06djZGREnz59sozTunVrDh48yMaN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\nGxsbG5sB+X++eApUwj94ugAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2896eeef2e8>"
+       "<matplotlib.figure.Figure at 0x2e4c8b17438>"
       ]
      },
      "metadata": {},
@@ -4665,14 +4445,12 @@
   {
    "cell_type": "code",
    "execution_count": 132,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2896eed33c8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x2e4c91f6518>"
       ]
      },
      "execution_count": 132,
@@ -4681,9 +4459,9 @@
     },
     {
      "data": {
-      "image/png": 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TbHEXRoETDsMwvgK+AlBKqX8odtkwjD9udkIp5Q5EAv0Nw/g+59hQYK9SKtAw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\nlefTfp8yOmE0j6x6hMNnDzP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YmldK8XzI88ztPpe5O+bS46MenM8q3DLyDzygt7RPStKr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7k78iuFdvEgLz9t3NdhZ2zPObR8/KPVlxZQWDdg8iKj4qd05Wsye0/xWCD8PK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\nIAiCkBMRhCAIgpATEYQgCIKQk/8PGd/Pfz5xo08AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2896f03ecc0>"
+       "<matplotlib.figure.Figure at 0x2e4c8d19ac8>"
       ]
      },
      "metadata": {},
@@ -4705,9 +4483,7 @@
   {
    "cell_type": "code",
    "execution_count": 133,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4755,9 +4531,7 @@
   {
    "cell_type": "code",
    "execution_count": 134,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4803,7 +4577,6 @@
    "cell_type": "code",
    "execution_count": 135,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -4861,9 +4634,7 @@
   {
    "cell_type": "code",
    "execution_count": 136,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4910,9 +4681,7 @@
   {
    "cell_type": "code",
    "execution_count": 137,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4960,9 +4729,7 @@
   {
    "cell_type": "code",
    "execution_count": 138,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -4988,9 +4755,7 @@
   {
    "cell_type": "code",
    "execution_count": 139,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5034,9 +4799,7 @@
   {
    "cell_type": "code",
    "execution_count": 140,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5079,9 +4842,7 @@
   {
    "cell_type": "code",
    "execution_count": 141,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5122,9 +4883,7 @@
   {
    "cell_type": "code",
    "execution_count": 142,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5171,7 +4930,6 @@
    "cell_type": "code",
    "execution_count": 143,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -5226,7 +4984,6 @@
    "cell_type": "code",
    "execution_count": 144,
    "metadata": {
-    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -5287,9 +5044,7 @@
   {
    "cell_type": "code",
    "execution_count": 145,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5343,9 +5098,7 @@
   {
    "cell_type": "code",
    "execution_count": 146,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5385,9 +5138,7 @@
   {
    "cell_type": "code",
    "execution_count": 147,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5428,9 +5179,7 @@
   {
    "cell_type": "code",
    "execution_count": 148,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5493,7 +5242,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Sessions (Experimental)"
+    "## Sessions"
    ]
   },
   {
@@ -5506,9 +5255,7 @@
   {
    "cell_type": "code",
    "execution_count": 149,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5545,7 +5292,7 @@
    "cell_type": "code",
    "execution_count": 150,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -5568,9 +5315,7 @@
   {
    "cell_type": "code",
    "execution_count": 152,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5592,22 +5337,23 @@
   {
    "cell_type": "code",
    "execution_count": 153,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'Exception'> cannot handle a non-unique multi-index!\n"
-     ]
+     "data": {
+      "text/plain": [
+       "Session(arr1, arr2, arr3)"
+      ]
+     },
+     "execution_count": 153,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# the excel version does not work currently (axes are not detected properly)\n",
-    "with ExCtx():\n",
-    "    s3 = Session('test.xlsx')"
+    "# this creates a session out of all arrays in the .xlsx file\n",
+    "s3 = Session('test.xlsx')\n",
+    "s3"
    ]
   },
   {
@@ -5620,9 +5366,7 @@
   {
    "cell_type": "code",
    "execution_count": 154,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5644,7 +5388,7 @@
    "cell_type": "code",
    "execution_count": 155,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -5655,9 +5399,7 @@
   {
    "cell_type": "code",
    "execution_count": 156,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5678,9 +5420,7 @@
   {
    "cell_type": "code",
    "execution_count": 157,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5701,9 +5441,7 @@
   {
    "cell_type": "code",
    "execution_count": 158,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -5732,7 +5470,7 @@
    "cell_type": "code",
    "execution_count": 159,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -5743,9 +5481,9 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [conda root]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda-root-py"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -5757,9 +5495,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.2"
+   "version": "3.6.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }

From 3411369bfdc3fd44f9ea583041843be540040354 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 14 Jun 2017 16:54:19 +0200
Subject: [PATCH 651/899] lets do a quick fix release

---
 condarecipe/larray/meta.yaml | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index c96394245..9e9c9a8d5 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.24
+  version: 0.24.1
 
 source:
-  git_tag: 0.24
+  git_tag: 0.24.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/larray/__init__.py b/larray/__init__.py
index 6b3966bef..e1e500b8a 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.24"
+__version__ = "0.24.1"
diff --git a/setup.py b/setup.py
index b02e82bfb..aededeee1 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.24'
+VERSION = '0.24.1'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From a76868526b9afc363b54fc9663fd168424aea05b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 16 Jun 2017 10:07:05 +0200
Subject: [PATCH 652/899] fix #322 (viewer): updated environment.yml in
 directory doc/ --> included pyqt and qtpy

---
 doc/environment.yml  | 2 ++
 larray/viewer/api.py | 6 ++++++
 2 files changed, 8 insertions(+)

diff --git a/doc/environment.yml b/doc/environment.yml
index b27743789..acd19c017 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -12,3 +12,5 @@ dependencies:
   - numpydoc
   - nbsphinx
   - pandoc
+  - pyqt
+  - qtpy
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index f4a06d122..3d5568919 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -67,6 +67,8 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     """
     Opens a new editor window.
 
+    Parameters
+    ----------
     obj : np.ndarray, LArray, Session, dict or str, optional
         Object to visualize. If string, array(s) will be loaded from the file given as argument.
         Defaults to the collection of all local variables where the function was called.
@@ -131,6 +133,8 @@ def view(obj=None, title='', depth=0):
     """
     Opens a new viewer window. Arrays are loaded in readonly mode and their content cannot be modified.
 
+    Parameters
+    ----------
     obj : np.ndarray, LArray, Session, dict or str, optional
         Object to visualize. If string, array(s) will be loaded from the file given as argument.
         Defaults to the collection of all local variables where the function was called.
@@ -158,6 +162,8 @@ def compare(*args, **kwargs):
     """
     Opens a new comparator window, comparing arrays or sessions.
 
+    Parameters
+    ----------
     *args : LArrays or Sessions
         Arrays or sessions to compare.
     title : str, optional

From b35e881e2cfa433677e7aa80d0bde09a5b0f6fe6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 19 Jun 2017 17:08:42 +0200
Subject: [PATCH 653/899] (viewer) added Clear List in Open Recent menu

---
 larray/viewer/view.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index c11f04ac1..63112927d 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -1310,10 +1310,11 @@ def setup_menu_bar(self):
             action.triggered.connect(self.open_recent_file)
             recent_files_menu.addAction(action)
         self.update_recent_file_actions()
+        recent_files_menu.addSeparator()
+        recent_files_menu.addAction(create_action(self, _('&Clear List'), triggered=self._clear_recent_files))
 
         file_menu.addSeparator()
-        file_menu.addAction(create_action(self, _('&Quit'), shortcut="Ctrl+Q",
-                                          triggered=self.close))
+        file_menu.addAction(create_action(self, _('&Quit'), shortcut="Ctrl+Q", triggered=self.close))
 
         help_menu = menu_bar.addMenu('&Help')
         help_menu.addAction(create_action(self, _('Online documentation'), shortcut="Ctrl+H",
@@ -1642,6 +1643,11 @@ def update_recent_files(self, filepaths):
         settings.setValue("recentFileList", files[:self.MAX_RECENT_FILES])
         self.update_recent_file_actions()
 
+    def _clear_recent_files(self):
+        settings = QSettings()
+        settings.setValue("recentFileList", [])
+        self.update_recent_file_actions()
+
     def update_recent_file_actions(self):
         settings = QSettings()
         recent_files = settings.value("recentFileList")

From c16a460dec381a423820d7954750281f3098326e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 21 Jun 2017 16:59:57 +0200
Subject: [PATCH 654/899] (viewer) added 2 new items in Help menu : 'Online
 Tutorial' and 'Online Objects and Functions (API) Reference'

---
 larray/viewer/view.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index 63112927d..b55625f4b 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -1317,8 +1317,11 @@ def setup_menu_bar(self):
         file_menu.addAction(create_action(self, _('&Quit'), shortcut="Ctrl+Q", triggered=self.close))
 
         help_menu = menu_bar.addMenu('&Help')
-        help_menu.addAction(create_action(self, _('Online documentation'), shortcut="Ctrl+H",
+        help_menu.addAction(create_action(self, _('Online &Documentation'), shortcut="Ctrl+H",
                                           triggered=self.open_documentation))
+        help_menu.addAction(create_action(self, _('Online &Tutorial'), triggered=self.open_tutorial))
+        help_menu.addAction(create_action(self, _('Online Objects and Functions (API) &Reference'),
+                                          triggered=self.open_api_documentation))
 
     def add_list_item(self, name):
         listitem = QListWidgetItem(self._listwidget)
@@ -1627,6 +1630,12 @@ def save_as(self):
     def open_documentation(self):
         QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
 
+    def open_tutorial(self):
+        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/notebooks/LArray_intro.html"))
+
+    def open_api_documentation(self):
+        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/api.html"))
+
     def set_current_file(self, filepath):
         self.update_recent_files([filepath])
         self.current_file = filepath

From 54fd549fd4a6b9fc10fc23a39f59903016e5d0a8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 21 Jun 2017 17:10:06 +0200
Subject: [PATCH 655/899] added example with rows and columns axes in doctest
 of function eye

---
 larray/core/array.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 02367f58d..920dfa7f4 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -7275,7 +7275,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     rows : int or Axis
         Rows of the output.
     columns : int or Axis, optional
-        Columns in the output. If None, defaults to rows.
+        Columns of the output. If None, defaults to rows.
     k : int, optional
         Index of the diagonal: 0 (the default) refers to the main diagonal, a
         positive value refers to an upper diagonal, and a negative value to a
@@ -7302,6 +7302,12 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     sex\\sex    M    F
           M  1.0  0.0
           F  0.0  1.0
+    >>> age = Axis('age=0..2')
+    >>> eye(age, sex)
+    age\\sex    M    F
+          0  1.0  0.0
+          1  0.0  1.0
+          2  0.0  0.0
     >>> eye(3, k=1)
     {0}*\\{1}*    0    1    2
             0  0.0  1.0  0.0

From dc70dc6be9b67a20ba64391e7f55a276e8cb290f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 21 Jun 2017 17:34:46 +0200
Subject: [PATCH 656/899] replaced __matmul__ entry in api.rst by @ entry +
 created new section 'Operators'

---
 doc/source/api.rst | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 9ff8fb9ad..a8cf5deb6 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -189,6 +189,7 @@ LArray
 * :ref:`la_sorting`
 * :ref:`la_reshaping`
 * :ref:`la_testing`
+* :ref:`_la_op:`
 * :ref:`la_misc`
 * :ref:`la_to_pandas`
 * :ref:`la_plotting`
@@ -373,6 +374,15 @@ Testing/Searching
    LArray.argmax
    LArray.posargmax
 
+.. _la_op:
+
+Operators
+---------
+
+=================================================== ==============================
+:py:meth:`@ <LArray.__matmul__>`                    Matrix multiplication
+=================================================== ==============================
+
 .. _la_misc:
 
 Miscellaneous
@@ -383,7 +393,6 @@ Miscellaneous
 
    LArray.ratio
    LArray.rationot0
-   LArray.__matmul__
    LArray.divnot0
    LArray.clip
    LArray.shift

From 3c35050c6f877b899a7e123e2488b59fb3d19383 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 16 Jun 2017 12:25:10 +0200
Subject: [PATCH 657/899] implemented Session.to_globals(inplace=True)

---
 doc/source/changes/version_0_25.rst.inc | 19 +++++++++++++
 larray/core/session.py                  | 36 ++++++++++++++++++-------
 larray/tests/test_session.py            | 14 +++++++++-
 3 files changed, 59 insertions(+), 10 deletions(-)
 create mode 100644 doc/source/changes/version_0_25.rst.inc

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
new file mode 100644
index 000000000..cf845f89a
--- /dev/null
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -0,0 +1,19 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
+  variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
diff --git a/larray/core/session.py b/larray/core/session.py
index b16c7c9e3..0c474e7a3 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -249,7 +249,7 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
             Dump using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. Ignored for CSV files. 
+            Whether or not to overwrite an existing file, if any. Ignored for CSV files.
             If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
@@ -266,9 +266,9 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
         Save only some arrays
 
         >>> s.save('output.h5', ['arr1', 'arr3'])  # doctest: +SKIP
-        
+
         Update file
-        
+
         >>> arr1, arr4 = ndtest((3, 3)), ndtest((2, 3))     # doctest: +SKIP
         >>> s2 = Session([('arr1', arr1), ('arr4', arr4)])  # doctest: +SKIP
         >>> # replace arr1 and add arr4 in file output.h5
@@ -288,7 +288,7 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
             items = [(k, v) for k, v in items if k in names_set]
         handler.dump_arrays(items, display=display, **kwargs)
 
-    def to_globals(self, names=None, depth=0, warn=True):
+    def to_globals(self, names=None, depth=0, warn=True, inplace=False):
         """
         Create global variables out of objects in the session.
 
@@ -301,6 +301,11 @@ def to_globals(self, names=None, depth=0, warn=True):
             to_globals, etc. Defaults to 0.
         warn : bool, optional
             Whether or not to warn the user that this method should only be used in an interactive console (see below).
+            Defaults to True.
+        inplace : bool, optional
+            If True, to_globals will assume all arrays already exist and have the same axes and will replace their
+            content instead of creating new variables. Non array variables in the session will be ignored.
+            Defaults to False.
 
         Notes
         -----
@@ -334,8 +339,21 @@ def to_globals(self, names=None, depth=0, warn=True):
         if names is not None:
             names_set = set(names)
             items = [(k, v) for k, v in items if k in names_set]
-        for k, v in items:
-            d[k] = v
+        if inplace:
+            for k, v in items:
+                if k not in d:
+                    raise ValueError("'{}' not found in current namespace. Session.to_globals(inplace=True) requires "
+                                     "all arrays to already exist.".format(k))
+                if not isinstance(v, LArray):
+                    continue
+                if not d[k].axes == v.axes:
+                    raise ValueError("Session.to_globals(inplace=True) requires the existing (destination) arrays "
+                                     "to have the same axes than those stored in the session and this is not the case "
+                                     "for '{}'.\nexisting: {}\nsession: {}".format(k, d[k].info, v.info))
+                d[k][:] = v
+        else:
+            for k, v in items:
+                d[k] = v
 
     def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
@@ -352,7 +370,7 @@ def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. 
+            Whether or not to overwrite an existing file, if any.
             If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
@@ -388,7 +406,7 @@ def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. 
+            Whether or not to overwrite an existing file, if any.
             If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
@@ -424,7 +442,7 @@ def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
             List of names of objects to dump. Defaults to all objects
             present in the Session.
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. 
+            Whether or not to overwrite an existing file, if any.
             If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 18911b2bf..6f3fc9167 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -7,7 +7,7 @@
 import pytest
 
 from larray.tests.common import assert_array_nan_equal, abspath
-from larray import Session, Axis, LArray, ndrange, isnan, larray_equal
+from larray import Session, Axis, LArray, ndrange, isnan, larray_equal, zeros_like
 from larray.util.misc import pickle
 
 try:
@@ -236,6 +236,18 @@ def test_to_globals(self):
         self.assertIs(f, self.f)
         self.assertIs(g, self.g)
 
+        # test inplace
+        backup_dest = e
+        backup_value = self.session.e.copy()
+        self.session.e = zeros_like(e)
+        self.session.to_globals(inplace=True, warn=False)
+        # check the variable is correct (the same as before)
+        self.assertIs(e, backup_dest)
+        self.assertIsNot(e, self.session.e)
+        # check the content has changed
+        assert_array_nan_equal(e, self.session.e)
+        self.assertFalse(larray_equal(e, backup_value))
+
     def test_eq(self):
         sess = self.session.filter(kind=LArray)
         expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])

From c4941b4d1a506d0cd8605131de481ee0e3c2c848 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 28 Jun 2017 10:17:07 +0200
Subject: [PATCH 658/899] Refactor array model (issue 24) (#294)

* fix #24 : refactored ArrayModel (uses N-dimensional LArray objects internally instead of 2D Numpy arrays).
* (viewer) added tests for ArrayModel class
* updated travis.yml script (channel 'conda-forge' added by default)
---
 .travis.yml                 |   3 +-
 larray/tests/test_viewer.py |  96 +++++++++
 larray/viewer/api.py        |   4 +-
 larray/viewer/model.py      | 379 +++++++++++++++++++++---------------
 larray/viewer/view.py       | 225 ++++-----------------
 setup.py                    |   2 +-
 6 files changed, 360 insertions(+), 349 deletions(-)
 create mode 100644 larray/tests/test_viewer.py

diff --git a/.travis.yml b/.travis.yml
index 72acab580..310eeb215 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -29,6 +29,7 @@ before_install:
     - bash miniconda.sh -b -p $HOME/miniconda
     - export PATH="$HOME/miniconda/bin:$PATH"
     - hash -r
+    - conda config --add channels conda-forge
     - conda config --set always_yes yes --set changeps1 no
     - conda update -q conda
 
@@ -47,7 +48,7 @@ install:
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
             numpy pandas pytables pyqt qtpy matplotlib xlrd openpyxl
-            xlsxwriter pytest
+            xlsxwriter pytest pytest-qt
     - source activate travisci
 
 script:
diff --git a/larray/tests/test_viewer.py b/larray/tests/test_viewer.py
new file mode 100644
index 000000000..821d19fac
--- /dev/null
+++ b/larray/tests/test_viewer.py
@@ -0,0 +1,96 @@
+import pytest
+from pytestqt import qtbot
+
+from qtpy.QtCore import Qt, QModelIndex
+import numpy as np
+import pandas as pd
+
+from larray import ndtest, zeros, LArray
+from larray import view, edit, compare
+from larray.viewer.model import ArrayModel, Product, LARGE_NROWS, LARGE_COLS
+
+@pytest.fixture(scope="module")
+def data():
+    return ndtest((5, 5, 5, 5))
+
+@pytest.fixture(scope="module")
+def model(data):
+    return ArrayModel(data)
+
+# see https://pytest-qt.readthedocs.io/en/latest/modeltester.html
+# def test_generic(model, qtmodeltester):
+#     qtmodeltester.check(model)
+
+def test_create_model():
+    # data = None --> empty array with shape (0,0) is generated
+    model = ArrayModel()
+    assert model.get_data_2D().shape == (0, 0)
+
+    # data = scalar
+    model = ArrayModel(LArray(5))
+    assert model.get_data_2D().shape == (1, 1)
+
+    # data = 1D array --> reshaped to 2D array with dim (1, len(data))
+    model = ArrayModel(ndtest(5))
+    assert model.get_data_2D().shape == (1, 5)
+
+    # data = 3D array --> reshaped to 2D array with dim (axis1*axis2, axis3)
+    model = ArrayModel(ndtest((5, 5, 5)))
+    assert model.get_data_2D().shape == (5 * 5, 5)
+
+def test_row_column_count(data, model):
+    nb_labels_prod_axes = np.prod(data.shape[:-1])
+    nb_labels_last_axis = len(data.axes[-1])
+    # nb_rows = prod(dim_0, ..., dim_n-1) + 1 row to display labels of the last dim
+    assert model.rowCount() == nb_labels_prod_axes + 1
+    # nb_cols = (n-1) columns to display the product of labels of the n-1 first dimensions +
+    #           m columns for the labels of the last dimension
+    assert model.columnCount() == data.ndim - 1 + nb_labels_last_axis
+
+    data2 = zeros((int(LARGE_NROWS) + 10, LARGE_COLS + 10))
+    model2 = ArrayModel(data2)
+    assert model2.rowCount() == ArrayModel.ROWS_TO_LOAD + 1
+    assert model2.columnCount() == ArrayModel.COLS_TO_LOAD + 1
+
+def test_length_xylabels(data, model):
+    # xlabels --> xlabels[0] = axis names; xlabels[1] = labels of the last axis
+    assert len(model.xlabels) == 2
+    # ylabels --> ylabels[0] = empty; ylabels[i] = labels for the ith dimension (i <= n-1)
+    assert len(model.ylabels) == data.ndim
+
+def test_get_labels(data, model):
+    # row and column start at 0
+    first_data_row = 1               # = len(model.xlabels) -1
+    first_data_col = data.ndim - 1   # = len(model.ylabels) -1
+
+    index = model.index(first_data_row - 1, first_data_col - 1)
+    assert model.get_labels(index) == ""
+    index = model.index(first_data_row, first_data_col)
+    assert model.get_labels(index) == "a=a0, b=b0, c=c0, d=d0"
+
+def test_get_value(data, model):
+    # row and column start at 0
+    first_data_row = 1               # = len(model.xlabels) -1
+    first_data_col = data.ndim - 1   # = len(model.ylabels) -1
+
+    # first cell is empty
+    assert model.get_value(model.index(0, 0)) == ""
+
+    # testing xlabels
+    labels_last_axis = data.axes[-1].labels
+    for j, label in enumerate(labels_last_axis):
+        assert model.get_value(model.index(0, first_data_col + j)) == label
+        assert model.xlabels[1][j] == label
+
+    # test ylabels
+    for i, labels in enumerate(Product(data.axes.labels[:-1])):
+        for j, label in enumerate(labels):
+            assert model.get_value(model.index(first_data_row + i, j)) == label
+            assert model.ylabels[j+1][i] == label
+
+    # test first data
+    index = model.index(first_data_row, first_data_col)
+    assert model.get_value(index) == data.i[0, 0, 0, 0]
+
+if __name__ == "__main__":
+    pytest.main()
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index 3d5568919..db5026294 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -323,8 +323,8 @@ def restore_display_hook():
     # compare(arr3, arr4, arr5, arr6)
 
     # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
-    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
-                     data2=data2, data3=data3)
+    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7, data2=data2, data3=data3)
+    #ses = la.Session(arr2=arr2)
     edit(ses)
 
     # s = la.local_arrays()
diff --git a/larray/viewer/model.py b/larray/viewer/model.py
index d214eb6bc..f45c9af98 100644
--- a/larray/viewer/model.py
+++ b/larray/viewer/model.py
@@ -2,6 +2,7 @@
 
 import sys
 import numpy as np
+import pandas as pd
 import larray as la
 
 from qtpy.QtCore import (Qt, QVariant, QModelIndex, QAbstractTableModel)
@@ -118,24 +119,21 @@ class ArrayModel(QAbstractTableModel):
 
     Parameters
     ----------
-    data : 2D NumPy array, optional
-        Input data (2D array).
+    data : array-like, optional
+        Input array that can be converted into a LArray 
+        (Numpy ndarray, Pandas Dataframe, list or tuple, ...).
     format : str, optional
         Indicates how data are represented in cells.
         By default, they are represented as floats with 3 decimal points.
-    xlabels : array, optional
-        Row's labels.
-    ylables : array, optional
-        Column's labels.
     readonly : bool, optional
         If True, data cannot be changed. False by default.
     font : QFont, optional
         Font. Default is `Calibri` with size 11.
     parent : QWidget, optional
         Parent Widget.
-    bg_gradient : ???, optional
+    bg_gradient : LinearGradient, optional
         Background color gradient
-    bg_value : ???, optional
+    bg_value : LArray, optional
         Background color value
     minvalue : scalar
         Minimum value allowed.
@@ -146,9 +144,8 @@ class ArrayModel(QAbstractTableModel):
     ROWS_TO_LOAD = 500
     COLS_TO_LOAD = 40
 
-    def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
-                 readonly=False, font=None, parent=None,
-                 bg_gradient=None, bg_value=None, minvalue=None, maxvalue=None):
+    def __init__(self, data=None, format="%.3f", readonly=False, font=None, parent=None, bg_gradient=None,
+                 bg_value=None, minvalue=None, maxvalue=None):
         QAbstractTableModel.__init__(self)
 
         self.dialog = parent
@@ -179,41 +176,41 @@ def __init__(self, data=None, format="%.3f", xlabels=None, ylabels=None,
         self.minvalue = minvalue
         self.maxvalue = maxvalue
         # TODO: check that data respects minvalue/maxvalue
-        self._set_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
+        self.set_data(data, bg_gradient=bg_gradient, bg_value=bg_value)
 
     def get_format(self):
         """Return current format"""
         # Avoid accessing the private attribute _format from outside
         return self._format
 
-    def get_data(self):
+    def get_data_2D(self):
         """Return data"""
-        return self._data
+        return self._data2D
 
-    def set_data(self, data, xlabels=None, ylabels=None, changes=None,
-                 bg_gradient=None, bg_value=None):
-        self._set_data(data, xlabels, ylabels, changes, bg_gradient, bg_value)
-        self.reset()
+    def get_data(self):
+        return self.la_data
 
-    def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
+    def set_data(self, data, changes=None, current_filter=None, bg_gradient=None, bg_value=None):
+        # ------------------- set changes -------------------
         if changes is None:
             changes = {}
+        assert isinstance(changes, dict)
+        self.changes = changes
+        self._changes2D = {}
+        # -------------------- set data ---------------------
         if data is None:
-            data = np.empty(0, dtype=np.int8).reshape(0, 0)
-        if data.dtype.names is None:
-            dtn = data.dtype.name
+            data = np.empty((0, 0), dtype=np.int8)
+        la_data = la.aslarray(data)
+        if la_data.dtype.names is None:
+            dtn = la_data.dtype.name
             if dtn not in SUPPORTED_FORMATS and not dtn.startswith('str') \
                     and not dtn.startswith('unicode'):
-                msg = _("%s arrays are currently not supported")
-                QMessageBox.critical(self.dialog, "Error", msg % data.dtype.name)
+                QMessageBox.critical(self.dialog, "Error", "{} arrays are currently not supported".format(dtn))
                 return
-        assert data.ndim == 2
-        self.test_array = np.array([0], dtype=data.dtype)
-
         # for complex numbers, shading will be based on absolute value
         # but for all other types it will be the real part
         # TODO: there are a lot more complex dtypes than this. Is there a way to get them all in one shot?
-        if data.dtype in (np.complex64, np.complex128):
+        if la_data.dtype in (np.complex64, np.complex128):
             self.color_func = np.abs
         else:
             # XXX: this is a no-op (it returns the array itself) for most types (I think all non complex types)
@@ -222,21 +219,47 @@ def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_v
             #     return v
             # self.color_func = nop
             self.color_func = np.real
+        self.la_data = la_data
+        # ------------ set bg gradient and value ------------
         self.bg_gradient = bg_gradient
         self.bg_value = bg_value
+        # ------ set current filter and data to display -----
+        if current_filter is None:
+            current_filter = {}
+        assert isinstance(current_filter, dict)
+        self.current_filter = current_filter
+        self._set_labels_and_data_to_display()
+        # ------------------- reset model -------------------
+        self.reset()
 
-        assert isinstance(changes, dict)
-        self.changes = changes
-        self._data = data
-        if xlabels is None:
-            xlabels = [[], []]
-        self.xlabels = xlabels
-        if ylabels is None:
-            ylabels = [[]]
-        self.ylabels = ylabels
-
-        self.total_rows = self._data.shape[0]
-        self.total_cols = self._data.shape[1]
+    @property
+    def filtered_data(self):
+        return self.la_data[self.current_filter]
+
+    def _set_labels_and_data_to_display(self):
+        la_data = self.filtered_data
+        if np.isscalar(la_data):
+            la_data = la.aslarray(la_data)
+        ndim, shape, axes = la_data.ndim, la_data.shape, la_data.axes
+        # get 2D shape + xlabels + ylabels
+        if ndim == 0:
+            self.xlabels = [[], []]
+            self.ylabels = [[]]
+            shape_2D = (1, 1)
+        elif ndim == 1:
+            self.xlabels = [axes.display_names, axes.labels[-1]]
+            self.ylabels = [[]]
+            shape_2D = (1,) + shape
+        else:
+            self.xlabels = [axes.display_names, axes.labels[-1]]
+            otherlabels = axes.labels[:-1]
+            prod = Product(otherlabels)
+            self.ylabels = [_LazyNone(len(prod) + 1)] + [_LazyDimLabels(prod, i) for i in range(len(otherlabels))]
+            shape_2D = (np.prod(shape[:-1]), shape[-1])
+
+        # set data (reshape to a 2D array if not)
+        self._data2D = la_data.data.reshape(shape_2D)
+        self.total_rows, self.total_cols = shape_2D
         size = self.total_rows * self.total_cols
         self.reset_minmax()
         # Use paging when the total size, number of rows or number of
@@ -253,6 +276,16 @@ def _set_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_v
                 self.cols_loaded = self.COLS_TO_LOAD
             else:
                 self.cols_loaded = self.total_cols
+        self._set_local_changes()
+
+    def _set_local_changes(self):
+        # we cannot apply the changes directly to data because it might be a view
+        local_changes = {}
+        for k, v in self.changes.items():
+            local_key = self.map_global_to_filtered(k)
+            if local_key is not None:
+                local_changes[local_key] = v
+        self._changes2D = local_changes
 
     def reset_minmax(self):
         # this will be awful to get right, because ideally, we should
@@ -277,6 +310,133 @@ def set_format(self, format):
         self._format = format
         self.reset()
 
+    def _index_to_position(self, index):
+        """
+        Cell at position (0, 0) contains the first data cell.
+        Negative position represents a label
+        """
+        i = index.row() - len(self.xlabels) + 1
+        j = index.column() - len(self.ylabels) + 1
+        return i, j
+
+    def _is_label(self, index):
+        i, j = self._index_to_position(index)
+        return i < 0 or j < 0
+
+    def _position_to_labels(self, position):
+        if isinstance(position, tuple) and len(position) == 2:
+            ki, kj = position
+            xlabel = [self.xlabels[i][kj] for i in range(1, len(self.xlabels))]
+            ylabel = [self.ylabels[j][ki] for j in range(1, len(self.ylabels))]
+            return tuple(ylabel + xlabel)
+        else:
+            QMessageBox.critical(self, "Error", "index must be a tuple of length 2")
+            return tuple()
+
+    def _position_to_dict_axes_ids_labels(self, position):
+        labels = self._position_to_labels(position)
+        axes_ids = list(self.filtered_data.axes.ids)
+        return dict(zip(axes_ids, labels))
+
+    def _dict_axes_ids_labels_to_position(self, dkey):
+        # transform (axis:label) dict key to positional ND key
+        try:
+            index_key = self.filtered_data._translated_key(dkey)
+        except ValueError:
+            return None
+        # transform positional ND key to positional 2D key
+        strides = np.append(1, np.cumprod(self.filtered_data.shape[1:-1][::-1]))[::-1]
+        return (index_key[:-1] * strides).sum(), index_key[-1]
+
+    def update_global_changes(self):
+        for k, v in self._changes2D.items():
+            self.changes[self.map_filtered_to_global(k)] = v
+
+    def map_filtered_to_global(self, k):
+        """
+        map local (filtered) 2D key to global ND key.
+
+        Parameters
+        ----------
+        k: tuple
+            Positional index (row, column) of the modified data cell.
+
+        Returns
+        -------
+        tuple
+            Labels associated with the modified element of the non-filtered array.
+        """
+        # transform local positional index key to (axis_ids: label) dictionary key.
+        # Contains only displayed axes
+        dkey = self._position_to_dict_axes_ids_labels(k)
+        # add the "scalar" parts of the filter to it (ie the parts of the
+        # filter which removed dimensions)
+        dkey.update({k: v for k, v in self.current_filter.items() if np.isscalar(v)})
+        # re-transform it to tuple (to make it hashable/to store it in .changes)
+        return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
+
+    def map_global_to_filtered(self, k):
+        """
+        map global ND key to local (filtered) 2D key
+
+        Parameters
+        ----------
+        k: tuple
+            Labels associated with the modified element of the non-filtered array.
+
+        Returns
+        -------
+        tuple
+            Positional index (row, column) of the modified data cell.
+        """
+        assert isinstance(k, tuple) and len(k) == self.la_data.ndim
+        dkey = {axis_id: axis_key for axis_key, axis_id in zip(k, self.la_data.axes.ids)}
+        # transform global dictionary key to "local" (filtered) key by removing
+        # the parts of the key which are redundant with the filter
+        for axis_id, axis_filter in self.current_filter.items():
+            axis_key = dkey[axis_id]
+            if np.isscalar(axis_filter) and axis_key == axis_filter:
+                del dkey[axis_id]
+            elif not np.isscalar(axis_filter) and axis_key in axis_filter:
+                pass
+            else:
+                # that key is invalid for/outside the current filter
+                return None
+        # transform local dictionary key to local positional 2D key
+        return self._dict_axes_ids_labels_to_position(dkey)
+
+    def change_filter(self, axis, indices):
+        # must be done before changing self.current_filter
+        self.update_global_changes()
+        cur_filter = self.current_filter
+        axis_id = self.la_data.axes.axis_id(axis)
+        if not indices or len(indices) == len(axis.labels):
+            if axis_id in cur_filter:
+                del cur_filter[axis_id]
+        else:
+            if len(indices) == 1:
+                cur_filter[axis_id] = axis.labels[indices[0]]
+            else:
+                cur_filter[axis_id] = axis.labels[indices]
+        self._set_labels_and_data_to_display()
+        return self.filtered_data
+
+    def accept_changes(self):
+        """Accept changes"""
+        self.update_global_changes()
+        axes = self.la_data.axes
+        for k, v in self.changes.items():
+            self.la_data.i[axes.translate_full_key(k)] = v
+        return self.la_data
+
+    def reject_changes(self):
+        """Reject changes"""
+        self.changes.clear()
+        # trigger view update
+        self._changes2D.clear()
+        self.reset_minmax()
+        self.reset()
+
     def columnCount(self, qindex=QModelIndex()):
         """Return array column number"""
         return len(self.ylabels) - 1 + self.cols_loaded
@@ -309,29 +469,27 @@ def bgcolor(self, state):
         self.reset()
 
     def get_labels(self, index):
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
-        if i < 0 or j < 0:
+        if self._is_label(index):
             return ""
         dim_names = self.xlabels[0]
         ndim = len(dim_names)
         last_dim_labels = self.xlabels[1]
         # ylabels[0] are empty
+        i, j = self._index_to_position(index)
         labels = [self.ylabels[d + 1][i] for d in range(ndim - 1)] + \
                  [last_dim_labels[j]]
-        return ", ".join("%s=%s" % (dim_name, label)
+        return ", ".join("{}={}".format(dim_name, label)
                          for dim_name, label in zip(dim_names, labels))
 
     def get_value(self, index):
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
+        i, j = self._index_to_position(index)
         if i < 0 and j < 0:
             return ""
         if i < 0:
             return str(self.xlabels[i][j])
         if j < 0:
             return str(self.ylabels[j][i])
-        return self.changes.get((i, j), self._data[i, j])
+        return self._changes2D.get((i, j), self._data2D[i, j])
 
     def data(self, index, role=Qt.DisplayRole):
         """Cell content"""
@@ -343,15 +501,13 @@ def data(self, index, role=Qt.DisplayRole):
         #     return ""
 
         if role == Qt.TextAlignmentRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
+            if self._is_label(index):
                 return to_qvariant(int(Qt.AlignCenter | Qt.AlignVCenter))
             else:
                 return to_qvariant(int(Qt.AlignRight | Qt.AlignVCenter))
 
         elif role == Qt.FontRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
+            if self._is_label(index):
                 return self.bold_font
             else:
                 return self.font
@@ -369,8 +525,7 @@ def data(self, index, role=Qt.DisplayRole):
                 return to_qvariant(self._format % value)
 
         elif role == Qt.BackgroundColorRole:
-            if (index.row() < len(self.xlabels) - 1) or \
-                    (index.column() < len(self.ylabels) - 1):
+            if self._is_label(index):
                 color = QColor(Qt.lightGray)
                 color.setAlphaF(.4)
                 return color
@@ -383,35 +538,34 @@ def data(self, index, role=Qt.DisplayRole):
                     return to_qvariant(color)
                 else:
                     bg_value = self.bg_value
-                    x = index.row() - len(self.xlabels) + 1
-                    y = index.column() - len(self.ylabels) + 1
+                    x, y = self._index_to_position(index)
                     # FIXME: this is buggy on filtered data. We should change
                     # bg_value when changing the filter.
                     idx = y + x * bg_value.shape[-1]
                     value = bg_value.data.flat[idx]
                     return self.bg_gradient[value]
         elif role == Qt.ToolTipRole:
-            return to_qvariant("%s\n%s" %(repr(value),self.get_labels(index)))
+            return to_qvariant("{}\n{}".format(repr(value),self.get_labels(index)))
         return to_qvariant()
 
     def get_values(self, left=0, top=0, right=None, bottom=None):
-        changes = self.changes
         width, height = self.total_rows, self.total_cols
         if right is None:
             right = width
         if bottom is None:
             bottom = height
-        values = self._data[left:right, top:bottom].copy()
+        values = self._data2D[left:right, top:bottom].copy()
         # both versions get the same result, but depending on inputs, the
         # speed difference can be large.
-        if values.size < len(changes):
+        changes2D = self._changes2D
+        if values.size < len(changes2D):
             for i in range(left, right):
                 for j in range(top, bottom):
                     pos = i, j
-                    if pos in changes:
-                        values[i - left, j - top] = changes[pos]
+                    if pos in changes2D:
+                        values[i - left, j - top] = changes2D[pos]
         else:
-            for (i, j), value in changes.items():
+            for (i, j), value in changes2D.items():
                 if left <= i < right and top <= j < bottom:
                     values[i - left, j - top] = value
         return values
@@ -422,7 +576,7 @@ def convert_value(self, value):
         ----------
         value : str
         """
-        dtype = self._data.dtype
+        dtype = self._data2D.dtype
         if dtype.name == "bool":
             try:
                 return bool(float(value))
@@ -441,7 +595,7 @@ def convert_value(self, value):
 
     def convert_values(self, values):
         values = np.asarray(values)
-        res = np.empty_like(values, dtype=self._data.dtype)
+        res = np.empty_like(values, dtype=self._data2D.dtype)
         try:
             # TODO: use array/vectorized conversion functions (but watch out
             # for bool)
@@ -488,18 +642,17 @@ def set_values(self, left, top, right, bottom, values):
         assert vheight == 1 or vheight == height
 
         # Add change to self.changes
-        changes = self.changes
         # requires numpy 1.10
         newvalues = np.broadcast_to(values, (width, height))
         oldvalues = np.empty_like(newvalues)
         for i in range(width):
             for j in range(height):
                 pos = left + i, top + j
-                old_value = changes.get(pos, self._data[pos])
+                old_value = self._changes2D.get(pos, self._data2D[pos])
                 oldvalues[i, j] = old_value
                 val = newvalues[i, j]
                 if val != old_value:
-                    changes[pos] = val
+                    self._changes2D[pos] = val
 
         # Update vmin/vmax if necessary
         if self.vmin is not None and self.vmax is not None:
@@ -525,8 +678,7 @@ def setData(self, index, value, role=Qt.EditRole):
         """Cell content change"""
         if not index.isValid() or self.readonly:
             return False
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
+        i, j = self._index_to_position(index)
         result = self.set_values(i, j, i + 1, j + 1, from_qvariant(value, str))
         return result is not None
 
@@ -534,8 +686,7 @@ def flags(self, index):
         """Set editable flag"""
         if not index.isValid():
             return Qt.ItemIsEnabled
-        if (index.row() < len(self.xlabels) - 1) or \
-                (index.column() < len(self.ylabels) - 1):
+        if self._is_label(index):
             return Qt.ItemIsEnabled #QAbstractTableModel.flags(self, index)
         flags = QAbstractTableModel.flags(self, index)
         if not self.readonly:
@@ -566,7 +717,7 @@ def headerData(self, section, orientation, role=Qt.DisplayRole):
         if not horizontal:
             labels, other = other, labels
         if labels is None:
-            shape = self._data.shape
+            shape = self._data2D.shape
             # prefer a blank cell to one cell named "0"
             if not shape or shape[int(horizontal)] == 1:
                 return to_qvariant()
@@ -730,87 +881,3 @@ def __getitem__(self, key):
 
     def __len__(self):
         return self.length
-
-
-def ndarray_to_array_and_labels(data):
-    """Converts an  Numpy ndarray into a 2D data array and x/y labels.
-
-    Parameters
-    ----------
-    data : numpy.ndarray
-        Input array.
-
-    Returns
-    -------
-    data : 2D array
-        Content of input array is returned as 2D array.
-    xlabels : list of sequences
-        Labels of rows.
-    ylabels : list of sequences
-        Labels of columns (cartesian product of of all axes
-        except the last one).
-    """
-    assert isinstance(data, np.ndarray)
-
-    if data.ndim == 0:
-        data.shape = (1, 1)
-        xlabels = [[], []]
-        ylabels = [[]]
-    else:
-        if data.ndim == 1:
-            data = data.reshape(1, data.shape[0])
-
-        xlabels = [["{{{}}}".format(i) for i in range(data.ndim)],
-                   range(data.shape[-1])]
-        coldims = 1
-        prod = Product([range(size) for size in data.shape[:-1]])
-        ylabels = [_LazyNone(len(prod) + coldims)] + [
-            _LazyDimLabels(prod, i) for i in range(data.ndim - 1)]
-
-    if data.ndim > 2:
-        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
-
-    return data, xlabels, ylabels
-
-
-def larray_to_array_and_labels(data):
-    """Converts an LArray into a 2D data array and x/y labels.
-
-    Parameters
-    ----------
-    data : LArray
-        Input LArray.
-
-    Returns
-    -------
-    data : 2D array
-        Content of input LArray is returned as 2D array.
-    xlabels : list of sequences
-        Labels of rows (names of axes + labels of last axis).
-    ylabels : list of sequences
-        Labels of columns (cartesian product of labels of all axes
-        except the last one).
-    """
-    assert isinstance(data, la.LArray)
-
-    xlabels = [data.axes.display_names, data.axes.labels[-1]]
-
-    otherlabels = data.axes.labels[:-1]
-    # ylabels = LazyLabels(otherlabels)
-    coldims = 1
-    # ylabels = [str(i) for i in range(len(row_labels))]
-    data = data.data[:]
-    if data.ndim == 1:
-        data = data.reshape(1, data.shape[0])
-        ylabels = [[]]
-    else:
-        prod = Product(otherlabels)
-        ylabels = [_LazyNone(len(prod) + coldims)] + [
-            _LazyDimLabels(prod, i) for i in range(len(otherlabels))]
-        # ylabels = [LazyRange(len(prod), coldims)] + [
-        #     LazyDimLabels(prod, i) for i in range(len(otherlabels))]
-
-    if data.ndim > 2:
-        data = data.reshape(np.prod(data.shape[:-1]), data.shape[-1])
-
-    return data, xlabels, ylabels
\ No newline at end of file
diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index b55625f4b..a2fe8a1ad 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -131,14 +131,14 @@
 except ImportError:
     qtconsole_available = False
 
-from larray.viewer.model import (ArrayModel, _, get_font, from_qvariant, to_qvariant, is_float, is_number,
-                                 larray_to_array_and_labels, ndarray_to_array_and_labels)
+from larray.viewer.model import ArrayModel, _, get_font, from_qvariant, to_qvariant, is_float, is_number
 
 from larray.viewer.combo import FilterComboBox, FilterMenu
 import larray as la
 
 PY2 = sys.version[0] == '2'
 
+
 # Spyder compat
 # -------------
 
@@ -646,15 +646,10 @@ def ndigits(value):
 
 
 class ArrayEditorWidget(QWidget):
-    def __init__(self, parent, data, readonly=False,
-                 xlabels=None, ylabels=None, bg_value=None,
-                 bg_gradient=None, minvalue=None, maxvalue=None):
+    def __init__(self, parent, data, readonly=False, bg_value=None, bg_gradient=None, minvalue=None, maxvalue=None):
         QWidget.__init__(self, parent)
-        if np.isscalar(data):
-            readonly = True
-        if not isinstance(data, (np.ndarray, la.LArray)):
-            data = np.array(data)
-        self.model = ArrayModel(None, readonly=readonly, parent=self,
+        readonly = np.isscalar(data)
+        self.model = ArrayModel(data, readonly=readonly, parent=self,
                                 bg_value=bg_value, bg_gradient=bg_gradient,
                                 minvalue=minvalue, maxvalue=maxvalue)
         self.view = ArrayView(self, self.model, data.dtype, data.shape)
@@ -685,58 +680,29 @@ def __init__(self, parent, data, readonly=False,
         layout.addWidget(self.view)
         layout.addLayout(btn_layout)
         self.setLayout(layout)
-        self.set_data(data, xlabels, ylabels, bg_value=bg_value,
-                      bg_gradient=bg_gradient)
-
-    def set_data(self, data, xlabels=None, ylabels=None, current_filter=None,
-                 bg_gradient=None, bg_value=None):
-        self.old_data_shape = None
-        if current_filter is None:
-            current_filter = {}
-        self.current_filter = current_filter
-        self.global_changes = {}
-        if isinstance(data, la.LArray):
-            self.la_data = data
-            axes = data.axes
-            display_names = axes.display_names
-            data, xlabels, ylabels = larray_to_array_and_labels(data)
-        else:
-            self.la_data = None
-            axes = []
-            display_names = []
-            if not isinstance(data, np.ndarray):
-                data = np.asarray(data)
-            if data.ndim == 0:
-                self.old_data_shape = data.shape
-            elif data.ndim == 1:
-                self.old_data_shape = data.shape
-            data, xlabels, ylabels = ndarray_to_array_and_labels(data)
+        self.set_data(data, bg_value=bg_value, bg_gradient=bg_gradient)
+
+    def set_data(self, data, bg_gradient=None, bg_value=None):
+        la_data = la.aslarray(data)
+        axes = la_data.axes
+        display_names = axes.display_names
 
         filters_layout = self.filters_layout
         clear_layout(filters_layout)
-        if axes:
-            filters_layout.addWidget(QLabel(_("Filters")))
-            for axis, display_name in zip(axes, display_names):
-                filters_layout.addWidget(QLabel(display_name))
-                filters_layout.addWidget(self.create_filter_combo(axis))
-            filters_layout.addStretch()
-        self.filtered_data = self.la_data
-
-            # if xlabels is not None and len(xlabels) != self.data.shape[1]:
-            #     self.error(_("The 'xlabels' argument length do no match "
-            #                  "array column number"))
-            #     return False
-            # if ylabels is not None and len(ylabels) != self.data.shape[0]:
-            #     self.error(_("The 'ylabels' argument length do no match "
-            #                  "array row number"))
-            #     return False
-        self._set_raw_data(data, xlabels, ylabels, bg_gradient=bg_gradient, bg_value=bg_value)
-
-    def _set_raw_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None, bg_value=None):
-        size = data.size
+        filters_layout.addWidget(QLabel(_("Filters")))
+        for axis, display_name in zip(axes, display_names):
+            filters_layout.addWidget(QLabel(display_name))
+            filters_layout.addWidget(self.create_filter_combo(axis))
+        filters_layout.addStretch()
+
+        self.model.set_data(la_data, bg_gradient=bg_gradient, bg_value=bg_value)
+        self._update(la_data)
+
+    def _update(self, la_data):
+        size = la_data.size
         # this will yield a data sample of max 199
         step = (size // 100) if size > 100 else 1
-        data_sample = data.flat[::step]
+        data_sample = la_data.data.flat[::step]
 
         # TODO: refactor so that the expensive format_helper is not called
         # twice (or the values are cached)
@@ -745,17 +711,13 @@ def _set_raw_data(self, data, xlabels, ylabels, changes=None, bg_gradient=None,
         # XXX: self.ndecimals vs self.digits
         self.digits = self.choose_ndecimals(data_sample, use_scientific)
         self.use_scientific = use_scientific
-        self.data = data
         self.model.set_format(self.cell_format)
-        if changes is None:
-            changes = {}
-        self.model.set_data(data, xlabels, ylabels, changes, bg_gradient=bg_gradient, bg_value=bg_value)
 
         self.digits_spinbox.setValue(self.digits)
-        self.digits_spinbox.setEnabled(is_number(data.dtype))
+        self.digits_spinbox.setEnabled(is_number(la_data.dtype))
 
         self.scientific_checkbox.setChecked(use_scientific)
-        self.scientific_checkbox.setEnabled(is_number(data.dtype))
+        self.scientific_checkbox.setEnabled(is_number(la_data.dtype))
 
         self.bgcolor_checkbox.setChecked(self.model.bgcolor_enabled)
         self.bgcolor_checkbox.setEnabled(self.model.bgcolor_enabled)
@@ -850,36 +812,22 @@ def _data_digits(self, data, maxdigits=6):
 
     @property
     def dirty(self):
-        self.update_global_changes()
-        return len(self.global_changes) > 1
+        self.model.update_global_changes()
+        return len(self.model.changes) > 1
 
     def accept_changes(self):
         """Accept changes"""
-        self.update_global_changes()
-        la_data = self.la_data
-        for k, v in self.global_changes.items():
-            la_data.i[la_data.axes.translate_full_key(k)] = v
-        # update model data & reset global_changes
-        self.set_data(self.la_data, current_filter=self.current_filter)
-        # XXX: shouldn't this be done only in the dialog? (if we continue editing...)
-        if self.old_data_shape is not None:
-            self.data.shape = self.old_data_shape
+        la_data = self.model.accept_changes()
+        self._update(la_data)
 
     def reject_changes(self):
         """Reject changes"""
-        self.global_changes.clear()
-        # trigger view update
-        self.model.changes.clear()
-        self.model.reset_minmax()
-        self.model.reset()
-        # XXX: shouldn't this be done only in the dialog? (if we continue editing...)
-        if self.old_data_shape is not None:
-            self.data.shape = self.old_data_shape
+        self.model.reject_changes()
 
     @property
     def cell_format(self):
-        if self.data.dtype.type in (np.str, np.str_, np.bool_, np.bool,
-                                    np.object_):
+        type = self.model.get_data().dtype.type
+        if type in (np.str, np.str_, np.bool_, np.bool, np.object_):
             return '%s'
         else:
             format_letter = 'e' if self.use_scientific else 'f'
@@ -887,7 +835,7 @@ def cell_format(self):
 
     def scientific_changed(self, value):
         self.use_scientific = value
-        self.digits = self.choose_ndecimals(self.data, value)
+        self.digits = self.choose_ndecimals(self.model.get_data(), value)
         self.digits_spinbox.setValue(self.digits)
         self.model.set_format(self.cell_format)
 
@@ -897,114 +845,13 @@ def digits_changed(self, value):
 
     def create_filter_combo(self, axis):
         def filter_changed(checked_items):
-            self.change_filter(axis, checked_items)
+            filtered = self.model.change_filter(axis, checked_items)
+            self._update(filtered)
         combo = FilterComboBox(self)
         combo.addItems([str(l) for l in axis.labels])
         combo.checkedItemsChanged.connect(filter_changed)
         return combo
 
-    def change_filter(self, axis, indices):
-        # must be done before changing self.current_filter
-        self.update_global_changes()
-        cur_filter = self.current_filter
-        axis_id = self.la_data.axes.axis_id(axis)
-        # if index == 0:
-        if not indices or len(indices) == len(axis.labels):
-            if axis_id in cur_filter:
-                del cur_filter[axis_id]
-        else:
-            if len(indices) == 1:
-                cur_filter[axis_id] = axis.labels[indices[0]]
-            else:
-                cur_filter[axis_id] = axis.labels[indices]
-        filtered = self.la_data[cur_filter]
-        local_changes = self.get_local_changes(filtered)
-        self.filtered_data = filtered
-        if np.isscalar(filtered):
-            # no need to make the editor readonly as we can still propagate the
-            # .changes back into the original array.
-            data, xlabels, ylabels = np.array([[filtered]]), None, None
-        else:
-            data, xlabels, ylabels = larray_to_array_and_labels(filtered)
-
-        self._set_raw_data(data, xlabels, ylabels, local_changes)
-
-    def get_local_changes(self, filtered):
-        # we cannot apply the changes directly to data because it might be a
-        # view
-        changes = {}
-        for k, v in self.global_changes.items():
-            local_key = self.map_global_to_filtered(k, filtered)
-            if local_key is not None:
-                changes[local_key] = v
-        return changes
-
-    def update_global_changes(self):
-        # TODO: it would be a better idea to handle the filter in the model,
-        # and only store changes as "global changes".
-        for k, v in self.model.changes.items():
-            self.global_changes[self.map_filtered_to_global(k)] = v
-
-    def map_global_to_filtered(self, k, filtered):
-        """
-        map global ND key to local (filtered) 2D key
-        """
-        assert isinstance(k, tuple) and len(k) == self.la_data.ndim
-
-        dkey = {axis_id: axis_key
-                for axis_key, axis_id in zip(k, self.la_data.axes.ids)}
-
-        # transform global dictionary key to "local" (filtered) key by removing
-        # the parts of the key which are redundant with the filter
-        for axis_id, axis_filter in self.current_filter.items():
-            axis_key = dkey[axis_id]
-            if np.isscalar(axis_filter) and axis_key == axis_filter:
-                del dkey[axis_id]
-            elif not np.isscalar(axis_filter) and axis_key in axis_filter:
-                pass
-            else:
-                # that key is invalid for/outside the current filter
-                return None
-
-        # transform local label key to local index key
-        try:
-            index_key = filtered._translated_key(dkey)
-        except ValueError:
-            return None
-
-        # transform local index ND key to local index 2D key
-        mult = np.append(1, np.cumprod(filtered.shape[1:-1][::-1]))[::-1]
-        return (index_key[:-1] * mult).sum(), index_key[-1]
-
-    def map_filtered_to_global(self, k):
-        """
-        map local (filtered) 2D key to global ND key
-        """
-        assert isinstance(k, tuple) and len(k) == 2
-
-        # transform local index key to local label key
-        # XXX: why can't we store the filter as index?
-        model = self.model
-        ki, kj = k
-        xlabels = model.xlabels
-        ylabels = model.ylabels
-        xlabel = [xlabels[i][kj] for i in range(1, len(xlabels))]
-        ylabel = [ylabels[j][ki] for j in range(1, len(ylabels))]
-        label_key = tuple(ylabel + xlabel)
-
-        # compute dictionary key out of it
-        data = self.filtered_data
-        axes_ids = list(data.axes.ids) if isinstance(data, la.LArray) else []
-        dkey = dict(zip(axes_ids, label_key))
-
-        # add the "scalar" parts of the filter to it (ie the parts of the
-        # filter which removed dimensions)
-        dkey.update({k: v for k, v in self.current_filter.items()
-                     if np.isscalar(v)})
-
-        # re-transform it to tuple (to make it hashable/to store it in .changes)
-        return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
-
 
 class ArrayEditor(QDialog):
     """Array Editor Dialog"""
@@ -1288,7 +1135,7 @@ def _reset(self):
             self.kernel.shell.run_cell('from larray import *')
             self.ipython_cell_executed()
         else:
-            self.eval_box.setText('')
+            self.eval_box.setText('None')
             self.line_edit_update()
 
     def setup_menu_bar(self):
diff --git a/setup.py b/setup.py
index aededeee1..f5c98fb00 100644
--- a/setup.py
+++ b/setup.py
@@ -14,7 +14,7 @@ def readlocal(fname):
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")
 INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1']
-TESTS_REQUIRE = ['pytest']
+TESTS_REQUIRE = ['pytest', 'pytest-qt']
 SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'

From 852ffbb5218eb5f888c22ed8f6b923cd64ec8593 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 1 Jun 2017 11:06:14 +0200
Subject: [PATCH 659/899] added icon : - added larray.ico/png/svg in
 larray/images/ - updated setup.py - updated IconManager and
 MappingEditor.setup_and_checki (view.py)

---
 condarecipe/larray/bld.bat |   1 -
 larray/images/larray.ico   | Bin 0 -> 16958 bytes
 larray/images/larray.png   | Bin 0 -> 2724 bytes
 larray/images/larray.svg   | 220 +++++++++++++++++++++++++++++++++++++
 larray/viewer/view.py      |  19 +++-
 setup.py                   |   2 +-
 6 files changed, 235 insertions(+), 7 deletions(-)
 create mode 100644 larray/images/larray.ico
 create mode 100644 larray/images/larray.png
 create mode 100644 larray/images/larray.svg

diff --git a/condarecipe/larray/bld.bat b/condarecipe/larray/bld.bat
index 87b1481d7..cf4f34d8e 100644
--- a/condarecipe/larray/bld.bat
+++ b/condarecipe/larray/bld.bat
@@ -1,6 +1,5 @@
 "%PYTHON%" setup.py install
 if errorlevel 1 exit 1
-
 :: Add more build steps here, if they are necessary.
 
 :: See
diff --git a/larray/images/larray.ico b/larray/images/larray.ico
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diff --git a/larray/images/larray.svg b/larray/images/larray.svg
new file mode 100644
index 000000000..3c0791c7c
--- /dev/null
+++ b/larray/images/larray.svg
@@ -0,0 +1,220 @@
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+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
+<svg
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diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index a2fe8a1ad..f04cd56d4 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -143,12 +143,21 @@
 # -------------
 
 class IconManager(object):
+
+    _icons = {'larray': 'larray.ico'}
+    _icon_dir = os.path.join(os.path.dirname(os.path.realpath(la.__file__)), 'images')
+
     def icon(self, ref):
+        if ref in self._icons:
+            icon_path = os.path.join(self._icon_dir, self._icons[ref])
+            return QIcon(icon_path)
+        else:
         # By default, only X11 will support themed icons. In order to use
         # themed icons on Mac and Windows, you will have to bundle a compliant
         # theme in one of your PySide.QtGui.QIcon.themeSearchPaths() and set the
         # appropriate PySide.QtGui.QIcon.themeName() .
-        return QIcon.fromTheme(ref)
+            return QIcon.fromTheme(ref)
+
 ima = IconManager()
 
 
@@ -886,7 +895,7 @@ def setup_and_check(self, data, title='', readonly=False,
         layout = QGridLayout()
         self.setLayout(layout)
 
-        icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
+        icon = ima.icon('larray')
         if icon is not None:
             self.setWindowIcon(icon)
 
@@ -1006,7 +1015,7 @@ def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalu
             data = la.Session(data)
         self.data = data
 
-        icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
+        icon = ima.icon('larray')
         if icon is not None:
             self.setWindowIcon(icon)
 
@@ -1606,7 +1615,7 @@ def setup_and_check(self, arrays, names, title=''):
         self.arrays = arrays
         self.array = la.stack(arrays, la.Axis(names, 'arrays'))
 
-        icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
+        icon = ima.icon('larray')
         if icon is not None:
             self.setWindowIcon(icon)
 
@@ -1695,7 +1704,7 @@ def setup_and_check(self, sessions, names, title=''):
         self.sessions = sessions
         self.names = names
 
-        icon = self.style().standardIcon(QStyle.SP_ComputerIcon)
+        icon = ima.icon('larray')
         if icon is not None:
             self.setWindowIcon(icon)
 
diff --git a/setup.py b/setup.py
index f5c98fb00..37c5b8821 100644
--- a/setup.py
+++ b/setup.py
@@ -18,8 +18,8 @@ def readlocal(fname):
 SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'
-PACKAGE_DATA = {'larray': ['tests/data/*']}
 URL = 'https://github.com/liam2/larray'
+PACKAGE_DATA = {'larray': ['tests/data/*', 'images/*']}
 
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',

From b4583cbd158706d916cf60192cb16666f80ddc26 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 15 Jun 2017 14:08:50 +0200
Subject: [PATCH 660/899] fix #315 : added possibility to load the last opened
 session using edit(REOPEN_LAST_FILE)

---
 larray/viewer/api.py  | 31 ++++++++++++++++++-------------
 larray/viewer/view.py | 32 ++++++++++++++++++++++++--------
 2 files changed, 42 insertions(+), 21 deletions(-)

diff --git a/larray/viewer/api.py b/larray/viewer/api.py
index db5026294..f6738bb47 100644
--- a/larray/viewer/api.py
+++ b/larray/viewer/api.py
@@ -8,10 +8,9 @@
 import larray as la
 
 from qtpy.QtWidgets import QApplication, QMainWindow
-from larray.viewer.view import MappingEditor, ArrayEditor, SessionComparator, ArrayComparator
-
-__all__ = ['view', 'edit', 'compare']
+from larray.viewer.view import MappingEditor, ArrayEditor, SessionComparator, ArrayComparator, REOPEN_LAST_FILE
 
+__all__ = ['view', 'edit', 'compare', 'REOPEN_LAST_FILE']
 
 def qapplication():
     return QApplication(sys.argv)
@@ -69,8 +68,9 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
 
     Parameters
     ----------
-    obj : np.ndarray, LArray, Session, dict or str, optional
+    obj : np.ndarray, LArray, Session, dict, str or REOPEN_LAST_FILE, optional
         Object to visualize. If string, array(s) will be loaded from the file given as argument.
+        Passing the constant REOPEN_LAST_FILE loads the last opened file. 
         Defaults to the collection of all local variables where the function was called.
     title : str, optional
         Title for the current object. Defaults to the name of the first object found in the caller namespace which
@@ -109,16 +109,13 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
         local_vars = sys._getframe(depth + 1).f_locals
         obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
 
-    if isinstance(obj, str):
-        if os.path.exists(obj):
-            obj = la.Session(obj)
-        else:
-            raise ValueError("file {} not found".format(obj))
+    if not isinstance(obj, la.Session) and hasattr(obj, 'keys'):
+        obj = la.Session(obj)
 
-    if not title:
+    if not title and obj is not REOPEN_LAST_FILE:
         title = get_title(obj, depth=depth + 1)
 
-    dlg = MappingEditor(parent) if hasattr(obj, 'keys') else ArrayEditor(parent)
+    dlg = MappingEditor(parent) if obj is REOPEN_LAST_FILE or isinstance(obj, (str, la.Session)) else ArrayEditor(parent)
     if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
         if parent or isinstance(dlg, QMainWindow):
             dlg.show()
@@ -323,9 +320,17 @@ def restore_display_hook():
     # compare(arr3, arr4, arr5, arr6)
 
     # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
-    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7, data2=data2, data3=data3)
-    #ses = la.Session(arr2=arr2)
+    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
+                     data2=data2, data3=data3)
+
+    # from larray.tests.common import abspath
+    # file = abspath('test_session.xlsx')
+    # ses.save(file)
+
     edit(ses)
+    # edit(file)
+    # edit('fake_path')
+    # edit(REOPEN_LAST_FILE)
 
     # s = la.local_arrays()
     # view(s)
diff --git a/larray/viewer/view.py b/larray/viewer/view.py
index f04cd56d4..a9e963b94 100644
--- a/larray/viewer/view.py
+++ b/larray/viewer/view.py
@@ -137,6 +137,7 @@
 import larray as la
 
 PY2 = sys.version[0] == '2'
+REOPEN_LAST_FILE = object()
 
 
 # Spyder compat
@@ -1011,10 +1012,6 @@ def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalu
         Setup MappingEditor:
         return False if data is not supported, True otherwise
         """
-        if not isinstance(data, la.Session):
-            data = la.Session(data)
-        self.data = data
-
         icon = ima.icon('larray')
         if icon is not None:
             self.setWindowIcon(icon)
@@ -1035,16 +1032,14 @@ def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalu
         widget.setLayout(layout)
 
         self._listwidget = QListWidget(self)
-        arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
-        self.add_list_items(arrays)
         self._listwidget.currentItemChanged.connect(self.on_item_changed)
         self._listwidget.setMinimumWidth(45)
 
         del_item_shortcut = QShortcut(QKeySequence(Qt.Key_Delete), self._listwidget)
         del_item_shortcut.activated.connect(self.delete_current_item)
 
-        start_array = la.zeros(1) if arrays else la.zeros(0)
-        self.arraywidget = ArrayEditorWidget(self, start_array, readonly)
+        self.data = la.Session()
+        self.arraywidget = ArrayEditorWidget(self, la.zeros(0), readonly)
 
         if qtconsole_available:
             # Create an in-process kernel
@@ -1132,6 +1127,27 @@ def void_formatter(array, *args, **kwargs):
 
         # Make the dialog act as a window
         self.setWindowFlags(Qt.Window)
+
+        # check if reopen last opened file
+        if data is REOPEN_LAST_FILE:
+            if len(QSettings().value("recentFileList")) > 0:
+                data = self.recent_file_actions[0].data()
+            else:
+                data = la.Session()
+
+        # load file if any
+        if isinstance(data, str):
+            if os.path.isfile(data):
+                self._open_file(data)
+            else:
+                QMessageBox.critical(self, "Error", "File {} could not be found".format(data))
+                self.new()
+        # convert input data to Session if not
+        else:
+            self.data = data if isinstance(data, la.Session) else la.Session(data)
+            arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
+            self.add_list_items(arrays)
+
         return True
 
     def _reset(self):

From e25bb9fe10d01a41fd8f75b7a5ce4d4942c124aa Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 26 Jun 2017 16:03:05 +0200
Subject: [PATCH 661/899] updated changelog 0.25 --> icon in editor windows

---
 doc/source/changes/version_0_25.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index cf845f89a..503744247 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -13,6 +13,8 @@ Miscellaneous improvements
 * implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
   variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
 
+* added icon to display in Windows start menu and editor windows.
+
 Fixes
 -----
 

From 346146b2d36f7b5587fda8634e624c1a7e6f160b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 13 Jun 2017 16:41:23 +0200
Subject: [PATCH 662/899] updated changelog 0.25 + make_meta_package.bat -->
 installing larray-editor will creates a menu LArray in the Windows Start Menu
 containing: - link to documentation of last stable release of larray -
 shortcut to launch the LArray editor - shortcut to update larrayenv

---
 doc/source/changes/version_0_25.rst.inc | 8 +++-----
 make_meta_package.bat                   | 2 +-
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 503744247..7b10254be 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -1,11 +1,9 @@
 New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
-
-* added another feature.
-
-.. _misc:
+* installing larray-editor (or larrayenv) from conda environment creates a new menu 'LArray' in the Windows start menu.
+  It contains a link to open the documentation, a shortcut to launch the user interface in edition mode
+  and a shortcut to update larrayenv. Closes issue:`281`.
 
 Miscellaneous improvements
 --------------------------
diff --git a/make_meta_package.bat b/make_meta_package.bat
index c293f8e65..9e6efe2ef 100644
--- a/make_meta_package.bat
+++ b/make_meta_package.bat
@@ -1 +1 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" larray_eurostat qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
+conda metapackage larrayenv %1 --dependencies "larray ==%1" larray_eurostat larray-editor qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings

From 77ce7373871bf4b114e33af00a46da81dbdee3d4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Jul 2017 11:28:51 +0200
Subject: [PATCH 663/899] (documentation) converted LArray_intro.ipynb to
 LArray_intro.rst + moved file to /tutorial directory.

---
 .gitignore                              |    1 -
 doc/source/conf.py                      |    3 +-
 doc/source/index.rst                    |    2 +-
 doc/source/notebooks/LArray_intro.ipynb | 5503 -----------------------
 doc/source/tutorial/LArray_intro.rst    | 1403 ++++++
 5 files changed, 1406 insertions(+), 5506 deletions(-)
 delete mode 100644 doc/source/notebooks/LArray_intro.ipynb
 create mode 100644 doc/source/tutorial/LArray_intro.rst

diff --git a/.gitignore b/.gitignore
index 3dd7261f4..00b769da6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,4 @@
 doc/notebooks/.ipynb_checkpoints
-doc/source/notebooks/.ipynb_checkpoints/
 doc/source/_generated/
 doc/build/
 experiments/
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 82e442938..8f4adcdb0 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -43,7 +43,8 @@
     'numpydoc',
     'nbsphinx',
     'sphinx.ext.mathjax',
-    'IPython.sphinxext.ipython_console_highlighting'
+    'IPython.sphinxext.ipython_console_highlighting',
+    'IPython.sphinxext.ipython_directive'
 ]
 
 extlinks = {'issue': ('https://github.com/liam2/larray/issues/%s',
diff --git a/doc/source/index.rst b/doc/source/index.rst
index f974e8612..b78bdd9d2 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -7,7 +7,7 @@ Contents:
    :maxdepth: 2
 
    install
-   notebooks/LArray_intro.ipynb
+   tutorial/LArray_intro.rst
    api
 
 Indices and tables
diff --git a/doc/source/notebooks/LArray_intro.ipynb b/doc/source/notebooks/LArray_intro.ipynb
deleted file mode 100644
index 7f54d044e..000000000
--- a/doc/source/notebooks/LArray_intro.ipynb
+++ /dev/null
@@ -1,5503 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Tutorial"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is an introduction to LArray. It is not intended to be a fully comprehensive manual. \n",
-    "It is mainly dedicated to help new users to familiarize with it and others to remind essentials.\n",
-    "\n",
-    "The first step to use the LArray library is to import it:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "from larray import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true,
-    "nbsphinx": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "import numpy as np\n",
-    "import warnings\n",
-    "warnings.filterwarnings('ignore')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true,
-    "nbsphinx": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "# To simplify what is printed when an exception is raised\n",
-    "class ExCtx(object):\n",
-    "    def __enter__(self):\n",
-    "        pass\n",
-    "    def __exit__(self, e_type, e_value, traceback):\n",
-    "        print(e_type, e_value)\n",
-    "        return True"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Axis creation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "An axis represents a dimension of an LArray object. It consists of a name and a list of labels.\n",
-    "They are several ways to create an axis:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(Axis(3, 'age'),\n",
-       " Axis(['M', 'F'], 'sex'),\n",
-       " Axis([2007, 2008, 2009], 'time'),\n",
-       " Axis(['A01', 'A02', 'A03', 'B01', 'B02', 'B03', 'C01', 'C02', 'C03'], 'other'))"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# create a wildcard axis \n",
-    "age = Axis(3, 'age')\n",
-    "# labels given as a list \n",
-    "time = Axis([2007, 2008, 2009], 'time')\n",
-    "# create an axis using one string\n",
-    "sex = Axis('sex=M,F')\n",
-    "# labels generated using a special syntax  \n",
-    "other = Axis('other=A01..C03')\n",
-    "\n",
-    "age, sex, time, other"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Array creation"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "A LArray object represents a multidimensional array with labeled axes. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### From scratch"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To create an array from scratch, you need to provide the data and a list of axes. \n",
-    "Optionally, a title can be defined."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age*  sex  time\\other  A01  A02  A03  B01  B02  B03  C01  C02  C03\n",
-       "   0    M        2007   95    3   14    7   34   65   90   79   94\n",
-       "   0    M        2008   13    9   66   11   44   93   78    2   27\n",
-       "   0    M        2009   93   16   72   70   73   79   98   50   48\n",
-       "   0    F        2007   36   73   13    7   92   21   72   92   52\n",
-       "   0    F        2008   84   77   42   36    7   95   61    4   72\n",
-       "   0    F        2009   90   69    4   21   63   35   53   42   43\n",
-       "   1    M        2007   85   31   95   23   48   29   29   76   46\n",
-       "   1    M        2008   61   93   79   37   83   48   64   57    3\n",
-       "   1    M        2009   38   43   10   39   13   77   32    0   28\n",
-       "   1    F        2007   32   35   43   69    6   49    3   81   20\n",
-       "   1    F        2008   84   66   16   18   86   25   77   87   14\n",
-       "   1    F        2009   79    5   39    5   79   21   17   50   86\n",
-       "   2    M        2007   79   77   70   42   52   88   39   73   76\n",
-       "   2    M        2008   20   45   97   41   76   41   61   49   83\n",
-       "   2    M        2009   32   10   33   33   22   92   49   59   36\n",
-       "   2    F        2007   55   93   35   78    9   86   30   78   46\n",
-       "   2    F        2008   81   28    4   43   86   48   15   19   84\n",
-       "   2    F        2009   91   23   66   31   60    0   22   57   70"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# list of the axes\n",
-    "axes = [age, sex, time, other]\n",
-    "# data (the shape of data array must match axes lengths)\n",
-    "data = np.random.randint(100, size=[len(axis) for axis in axes])\n",
-    "# title (optional)\n",
-    "title = 'random data'\n",
-    "\n",
-    "arr = LArray(data, axes, title)\n",
-    "arr"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Array creation functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Arrays can also be generated in an easier way through creation functions:\n",
-    "\n",
-    "- **ndrange** : fills an array with increasing numbers\n",
-    "- **ndtest**  : same as ndrange but with axes generated automatically (for testing)\n",
-    "- **empty**   : creates an array but leaves its allocated memory unchanged (i.e., it contains \"garbage\". Be careful !)\n",
-    "- **zeros**   : fills an array with 0 \n",
-    "- **ones**    : fills an array with 1\n",
-    "- **full**    : fills an array with a given value\n",
-    "\n",
-    "Except for ndtest, a list of axes must be provided. Axes can be passed in different ways:\n",
-    "\n",
-    "- as Axis objects \n",
-    "- as integers defining the lengths of auto-generated wildcard axes\n",
-    "- as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)\n",
-    "- as pairs (name, labels)\n",
-    "\n",
-    "Optionally, the type of data stored by the array can be specified using argument dtype."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008  2009\n",
-       "  0         M    -1     0     1\n",
-       "  0         F     2     3     4\n",
-       "  1         M     5     6     7\n",
-       "  1         F     8     9    10\n",
-       "  2         M    11    12    13\n",
-       "  2         F    14    15    16"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# start defines the starting value of data\n",
-    "ndrange(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "a\\b  b2  b3  b4\n",
-       " a2  -1   0   1\n",
-       " a3   2   3   4\n",
-       " a4   5   6   7"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# start defines the starting value of data\n",
-    "# label_start defines the starting index of labels\n",
-    "ndtest((3, 3), start=-1, label_start=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time                     2007                     2008                     2009\n",
-       "  0         M   6.230420704259778e-307   1.691181076779588e-306   6.230600651523322e-307\n",
-       "  0         F  1.1126116245933921e-306   8.901042388048433e-307  1.2238924786374796e-307\n",
-       "  1         M  1.3351128989615333e-306   8.900920161505356e-307   1.246103833542769e-306\n",
-       "  1         F  1.6911810776084946e-306   8.066321387750432e-308   1.201607109425611e-306\n",
-       "  2         M   1.691193300407861e-306  2.2252259653414015e-306  1.3351217265572842e-306\n",
-       "  2         F  1.4241722147948553e-306   8.010924569309844e-307   7.231685266481017e-308"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# empty generates uninitialised array with correct axes (much faster but use with care!).\n",
-    "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there. \n",
-    "# Use it only if performance matters and make sure all data will be overridden. \n",
-    "empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}  {1}\\{2}  2007  2008  2009\n",
-       "  0        M   0.0   0.0   0.0\n",
-       "  0        F   0.0   0.0   0.0\n",
-       "  1        M   0.0   0.0   0.0\n",
-       "  1        F   0.0   0.0   0.0\n",
-       "  2        M   0.0   0.0   0.0\n",
-       "  2        F   0.0   0.0   0.0"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# example with anonymous axes\n",
-    "zeros(['0..2', 'M,F', '2007..2009'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008  2009\n",
-       "  0         M     1     1     1\n",
-       "  0         F     1     1     1\n",
-       "  1         M     1     1     1\n",
-       "  1         F     1     1     1\n",
-       "  2         M     1     1     1\n",
-       "  2         F     1     1     1"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# dtype=int forces to store int data instead of default float\n",
-    "ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008  2009\n",
-       "  0         M  1.23  1.23  1.23\n",
-       "  0         F  1.23  1.23  1.23\n",
-       "  1         M  1.23  1.23  1.23\n",
-       "  1         F  1.23  1.23  1.23\n",
-       "  2         M  1.23  1.23  1.23\n",
-       "  2         F  1.23  1.23  1.23"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "All the above functions exist in *{func}_like* variants which take axes from another array"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age*  sex  time\\other  A01  A02  A03  B01  B02  B03  C01  C02  C03\n",
-       "   0    M        2007    1    1    1    1    1    1    1    1    1\n",
-       "   0    M        2008    1    1    1    1    1    1    1    1    1\n",
-       "   0    M        2009    1    1    1    1    1    1    1    1    1\n",
-       "   0    F        2007    1    1    1    1    1    1    1    1    1\n",
-       "   0    F        2008    1    1    1    1    1    1    1    1    1\n",
-       "   0    F        2009    1    1    1    1    1    1    1    1    1\n",
-       "   1    M        2007    1    1    1    1    1    1    1    1    1\n",
-       "   1    M        2008    1    1    1    1    1    1    1    1    1\n",
-       "   1    M        2009    1    1    1    1    1    1    1    1    1\n",
-       "   1    F        2007    1    1    1    1    1    1    1    1    1\n",
-       "   1    F        2008    1    1    1    1    1    1    1    1    1\n",
-       "   1    F        2009    1    1    1    1    1    1    1    1    1\n",
-       "   2    M        2007    1    1    1    1    1    1    1    1    1\n",
-       "   2    M        2008    1    1    1    1    1    1    1    1    1\n",
-       "   2    M        2009    1    1    1    1    1    1    1    1    1\n",
-       "   2    F        2007    1    1    1    1    1    1    1    1    1\n",
-       "   2    F        2008    1    1    1    1    1    1    1    1    1\n",
-       "   2    F        2009    1    1    1    1    1    1    1    1    1"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ones_like(arr)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Sequence"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The special **sequence** function allows you to create an array from an axis by iteratively applying a function to a given initial value. \n",
-    "You can choose between **inc** and **mult** functions or define your own."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex    M    F\n",
-       "     1.0  1.5"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... \n",
-    "sequence('sex=M,F', initial=1.0, inc=0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age    0    1    2\n",
-       "     1.0  2.0  4.0"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... \n",
-    "sequence('age=0..2', initial=1.0, mult=2.0) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  2007  2008  2009\n",
-       "       2.0   4.0  16.0"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Using your own function\n",
-    "sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can also create N-dimensional array by passing (N-1)-dimensional array to initial, inc or mult argument"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time  2007  2008  2009\n",
-       "       M   0.0  1.05   2.1\n",
-       "       F   0.0  1.15   2.3"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "birth = LArray([1.05, 1.15], 'sex=M,F')\n",
-    "cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)\n",
-    "cumulate_newborns"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\age     80                 81                 82                 83\n",
-       "      M   90.0  86.39999999999999             82.944           79.62624\n",
-       "      F  100.0               98.0  96.03999999999999  94.11919999999999"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "initial = LArray([90, 100], 'sex=M,F') \n",
-    "survival = LArray([0.96, 0.98], 'sex=M,F')\n",
-    "pop = sequence('age=80..83', initial=initial, mult=survival)\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Load/Dump from files"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Load from files"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "example_dir = EXAMPLE_FILES_DIR"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Arrays can be loaded from CSV files (see documentation of *read_csv* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "26 x 3 x 7\n",
-       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
-       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
-       " hh_type [7]: 'SING' \"'MAR0\" 'MAR+' ... 'UNM+' 'H1P' 'OTHR'"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)\n",
-    "# read_eurostat is a shortcut to read EUROSTAT TSV files  \n",
-    "household = read_csv(example_dir + 'hh.csv')\n",
-    "household.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or Excel sheets (see documentation of *read_excel* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "26 x 3 x 121 x 2 x 2\n",
-       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
-       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
-       " age [121]: 0 1 2 ... 118 119 120\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# loads array from the first sheet if no sheetname is given \n",
-    "pop = read_excel(example_dir + 'data.xlsx', 'pop')\n",
-    "pop.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or HDF5 files (HDF5 is file format designed to store and organize large amounts of data. An HDF5 file can contain multiple arrays. See documentation of *read_hdf* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "26 x 3 x 121 x 2 x 2\n",
-       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
-       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
-       " age [121]: 0 1 2 ... 118 119 120\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mortality = read_hdf(example_dir + 'data.h5','qx')\n",
-    "mortality.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dump in files"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Arrays can be dumped in CSV files (see documentation of *to_csv* for more details) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "household.to_csv('hh2.csv')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or in Excel files (see documentation of *to_excel* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# if the file does not already exist, it is created with a single sheet, \n",
-    "# otherwise a new sheet is added to it\n",
-    "household.to_excel('data2.xlsx', overwrite_file=True)\n",
-    "# it is usually better to specify the sheet explicitly (by name or position) though\n",
-    "household.to_excel('data2.xlsx', 'hh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or in HDF5 files (see documentation of *to_hdf* for more details)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "household.to_hdf('data2.h5', 'hh')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "### more Excel IO"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008  2009\n",
-       "  0         M     0     1     2\n",
-       "  0         F     3     4     5\n",
-       "  1         M     6     7     8\n",
-       "  1         F     9    10    11\n",
-       "  2         M    12    13    14\n",
-       "  2         F    15    16    17"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# create a 3 x 2 x 3 array \n",
-    "age, sex, time = Axis('age=0..2'), Axis('sex=M,F'), Axis('time=2007..2009')\n",
-    "arr = ndrange([age, sex, time])\n",
-    "arr"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Write Arrays"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Open an Excel file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb = open_excel('test.xlsx', overwrite_file=True)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Put an array in an Excel Sheet, **excluding** headers (labels)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# put arr at A1 in Sheet1, excluding headers (labels)\n",
-    "wb['Sheet1'] = arr\n",
-    "# same but starting at A9\n",
-    "# note that Sheet1 must exist\n",
-    "wb['Sheet1']['A9'] = arr"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Put an array in an Excel Sheet, **including** headers (labels)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# dump arr at A1 in Sheet2, including headers (labels)\n",
-    "wb['Sheet2'] = arr.dump()\n",
-    "# same but starting at A10\n",
-    "wb['Sheet2']['A10'] = arr.dump()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Save file to disk"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.save()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Close file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Read Arrays"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Open an Excel file"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb = open_excel('test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Load an array from a sheet (assuming the presence of (correctly formatted) headers and only one array in sheet)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008  2009\n",
-       "  0         M     0     1     2\n",
-       "  0         F     3     4     5\n",
-       "  1         M     6     7     8\n",
-       "  1         F     9    10    11\n",
-       "  2         M    12    13    14\n",
-       "  2         F    15    16    17"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# save one array in Sheet3 (including headers)\n",
-    "wb['Sheet3'] = arr.dump()\n",
-    "\n",
-    "# load array from the data starting at A1 in Sheet3\n",
-    "arr = wb['Sheet3'].load()\n",
-    "arr"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Load an array with its axes information from a range"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\time  2007  2008\n",
-       "  0         M     0     1\n",
-       "  0         F     3     4\n",
-       "  1         M     6     7\n",
-       "  1         F     9    10"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# if you need to use the same sheet several times,\n",
-    "# you can create a sheet variable \n",
-    "sheet2 = wb['Sheet2']\n",
-    "\n",
-    "# load array contained in the 4 x 4 table defined by cells A10 and D14\n",
-    "arr2 = sheet2['A10:D14'].load()\n",
-    "arr2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Read Ranges (experimental)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Load an array (raw data) with no axis information from a range"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}*\\{1}*  0   1\n",
-       "        0  0   1\n",
-       "        1  3   4\n",
-       "        2  6   7\n",
-       "        3  9  10"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr3 = wb['Sheet1']['A1:B4']\n",
-    "arr3"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "in fact, this is not really an LArray ..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "larray.io.excel.Range"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "type(arr3)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "... but it can be used as such"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}*   0   1\n",
-       "      18  22"
-      ]
-     },
-     "execution_count": 36,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "arr3.sum(axis=0)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "... and it can be used for other stuff, like setting the formula instead of the value:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "arr3.formula = '=D10+1'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In the future, we should also be able to set font name, size, style, etc."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Inspecting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": true,
-    "nbsphinx": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "# load population array\n",
-    "pop = load_example_data('demography').pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Get array summary : dimensions + description of axes "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "26 x 3 x 121 x 2 x 2\n",
-       " time [26]: 1991 1992 1993 ... 2014 2015 2016\n",
-       " geo [3]: 'BruCap' 'Fla' 'Wal'\n",
-       " age [121]: 0 1 2 ... 118 119 120\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Get axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "time, geo, age, sex, nat = pop.axes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Get array dimensions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(26, 3, 121, 2, 2)"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.shape"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Get number of elements"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "37752"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.size"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Get size in memory"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "302016"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.nbytes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Start viewer (graphical user interface) in read-only mode. \n",
-    "This will open a new window and block execution of the rest of code until the windows is closed!\n",
-    "Required PyQt installed."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "view(pop)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Load array in an Excel sheet"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "pop.to_excel()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Selection (Subsets)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "LArray allows to select a subset of an array either by labels or positions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Selection by Labels"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "To take a subset of an array using labels, use brackets [ ]. Let's start by selecting a single element: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4813"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# here we select the value associated with Belgian women of age 50 from Brussels region for the year 2015\n",
-    "pop[2015, 'BruCap', 50, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Continue with selecting a subset using slices and lists of labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2010  4869  4811  4699\n",
-       "    2011  5015  4860  4792\n",
-       "    2012  4722  5014  4818\n",
-       "    2013  4711  4727  5007\n",
-       "    2014  4788  4702  4730\n",
-       "    2015  4813  4767  4676\n",
-       "    2016  4814  4792  4740"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
-    "# from Brussels region for the years 2010 to 2016\n",
-    "pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2010  4869  4811  4699\n",
-       "    2011  5015  4860  4792\n",
-       "    2012  4722  5014  4818\n",
-       "    2013  4711  4727  5007\n",
-       "    2014  4788  4702  4730\n",
-       "    2015  4813  4767  4676\n",
-       "    2016  4814  4792  4740"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# slices bounds are optional: \n",
-    "# if not given start is assumed to be the first label and stop is the last one.\n",
-    "# Here we select all years starting from 2010\n",
-    "pop[2010:, 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2010  4869  4811  4699\n",
-       "    2012  4722  5014  4818\n",
-       "    2014  4788  4702  4730\n",
-       "    2016  4814  4792  4740"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Slices can also have a step (defaults to 1), to take every Nth labels\n",
-    "# Here we select all even years starting from 2010\n",
-    "pop[2010::2, 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2008  4731  4735  4724\n",
-       "    2010  4869  4811  4699\n",
-       "    2013  4711  4727  5007\n",
-       "    2015  4813  4767  4676"
-      ]
-     },
-     "execution_count": 51,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can also use list of labels to take non-contiguous labels.\n",
-    "# Here we select years 2008, 2010, 2013 and 2015\n",
-    "pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. \n",
-    "It only matters for output."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2008  4731  4735  4724\n",
-       "    2010  4869  4811  4699\n",
-       "    2013  4711  4727  5007\n",
-       "    2015  4813  4767  4676"
-      ]
-     },
-     "execution_count": 52,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# order of index doesn't matter\n",
-    "pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-warning\">\n",
-    "\n",
-    "**Warning:** Selecting by labels as above works well as long as there is no ambiguity. \n",
-    "When two or more axes have common labels, it may lead to a crash. \n",
-    "Don't panic! The solution is then to precise to which axis belong the labels.  \n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {
-    "raw_mimetype": "text/restructuredtext"
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'ValueError'> slice(10, 18, None) is ambiguous (valid in age, weight, size)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# let us now create an array with the same labels on several axes\n",
-    "age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')\n",
-    "arr_ws = ndrange([age, weight, size])\n",
-    "\n",
-    "# let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.\n",
-    "# In this case the subset is ambiguous and this results in an error:\n",
-    "with ExCtx():\n",
-    "    arr_ws[10:18, :80, 160:165]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  weight\\size     160     161     162     163     164     165\n",
-       " 10            0  243370  243371  243372  243373  243374  243375\n",
-       " 10            1  243571  243572  243573  243574  243575  243576\n",
-       " 10            2  243772  243773  243774  243775  243776  243777\n",
-       " 10            3  243973  243974  243975  243976  243977  243978\n",
-       " 10            4  244174  244175  244176  244177  244178  244179\n",
-       "...          ...     ...     ...     ...     ...     ...     ...\n",
-       " 18           76  453214  453215  453216  453217  453218  453219\n",
-       " 18           77  453415  453416  453417  453418  453419  453420\n",
-       " 18           78  453616  453617  453618  453619  453620  453621\n",
-       " 18           79  453817  453818  453819  453820  453821  453822\n",
-       " 18           80  454018  454019  454020  454021  454022  454023"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the solution is simple. You need to precise the axes on which you make a selection\n",
-    "arr_ws[age[10:18], weight[:80], size[160:165]]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Special variable x"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "When selecting, assiging or using aggregate functions, an axis can be refered via the special variable **x**: \n",
-    "\n",
-    "- pop[x.age[:20]] \n",
-    "- pop.sum(x.age)\n",
-    "\n",
-    "This gives you acces to axes of the array you are manipulating. The main drawback of using *x* is that you lose the autocompletion available from many editors. It only works with non-wildcard axes. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  weight\\size     160     161     162     163     164     165\n",
-       " 10            0  243370  243371  243372  243373  243374  243375\n",
-       " 10            1  243571  243572  243573  243574  243575  243576\n",
-       " 10            2  243772  243773  243774  243775  243776  243777\n",
-       " 10            3  243973  243974  243975  243976  243977  243978\n",
-       " 10            4  244174  244175  244176  244177  244178  244179\n",
-       "...          ...     ...     ...     ...     ...     ...     ...\n",
-       " 18           76  453214  453215  453216  453217  453218  453219\n",
-       " 18           77  453415  453416  453417  453418  453419  453420\n",
-       " 18           78  453616  453617  453618  453619  453620  453621\n",
-       " 18           79  453817  453818  453819  453820  453821  453822\n",
-       " 18           80  454018  454019  454020  454021  454022  454023"
-      ]
-     },
-     "execution_count": 55,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the previous example could have been also written as  \n",
-    "arr_ws[x.age[10:18], x.weight[:80], x.size[160:165]]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Selection by Positions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Sometimes it is more practical to use positions along the axis, instead of labels. You need to add the character **i** before the brackets: *.i[positions]*. As for selection with labels, you can use single position or slice or list of positions. Positions can be also negative (-1 represent the last element of an axis)."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-info\">\n",
-    "\n",
-    "**Note**: Remember that positions (indices) are always **0-based** in Python. So the first element is at position 0, the second is at position 1, etc.\n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    1991  3739  4138  4101\n",
-       "    1992  3373  3665  4088\n",
-       "    1993  3648  3335  3615"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
-    "# from Brussels region for the first 3 years\n",
-    "pop[x.time.i[:3], 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2014  4788  4702  4730\n",
-       "    2015  4813  4767  4676\n",
-       "    2016  4814  4792  4740"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# same but for the last 3 years\n",
-    "pop[x.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\age    50    51    52\n",
-       "    2008  4731  4735  4724\n",
-       "    2010  4869  4811  4699\n",
-       "    2013  4711  4727  5007\n",
-       "    2015  4813  4767  4676"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# using list of positions\n",
-    "pop[x.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-warning\">\n",
-    "\n",
-    "**Warning**: The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.\n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age     0     1     2     3\n",
-       "     6020  5882  6023  5861"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# with labels (3 is included)\n",
-    "pop[2015, 'BruCap', x.age[:3], 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age     0     1     2\n",
-       "     6020  5882  6023"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# with position (3 is out)\n",
-    "pop[2015, 'BruCap', x.age.i[:3], 'F', 'BE']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can use *.i[]* selection directly on array instead of axes. In this context, if you want to select a subset of the first and third axes for example, you must use a full slice **:** for the second one. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "   geo  age  sex\\nat     BE    FO\n",
-       "BruCap    0        M   6155  3104\n",
-       "BruCap    0        F   5900  2817\n",
-       "BruCap    1        M   6165  3068\n",
-       "BruCap    1        F   5916  2946\n",
-       "BruCap    2        M   6053  2918\n",
-       "BruCap    2        F   5736  2776\n",
-       "   Fla    0        M  29993  3717\n",
-       "   Fla    0        F  28483  3587\n",
-       "   Fla    1        M  31292  3716\n",
-       "   Fla    1        F  29721  3575\n",
-       "   Fla    2        M  31718  3597\n",
-       "   Fla    2        F  30353  3387\n",
-       "   Wal    0        M  17869  1472\n",
-       "   Wal    0        F  17242  1454\n",
-       "   Wal    1        M  18820  1432\n",
-       "   Wal    1        F  17604  1443\n",
-       "   Wal    2        M  19076  1444\n",
-       "   Wal    2        F  18189  1358"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# here we select the last year and first 3 ages\n",
-    "pop.i[-1, :, :3]\n",
-    "\n",
-    "# which is equivalent to \n",
-    "pop.i[-1, :, :3, :, :]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Assigning subsets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Assigning value"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Assign a value to a subset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   8   0\n",
-       "102        F  26   1\n",
-       "103        M   2   1\n",
-       "103        F  17   2\n",
-       "104        M   2   1\n",
-       "104        F  14   0\n",
-       "105        M   0   0\n",
-       "105        F   2   2"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# let's take a smaller array\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
-    "pop2 = pop\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   0   0\n",
-       "102        F   0   0\n",
-       "103        M   0   0\n",
-       "103        F   0   0\n",
-       "104        M   0   0\n",
-       "104        F   0   0\n",
-       "105        M   0   0\n",
-       "105        F   0   0"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# set all data corresponding to age >= 102 to 0\n",
-    "pop2[102:] = 0\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One very important gotcha though...\n",
-    "\n",
-    "<div class=\"alert alert-warning\">\n",
-    "\n",
-    "**WARNING**: Modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**. The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. To avoid such behavior, use **.copy()** method.\n",
-    "\n",
-    "</div>\n",
-    "\n",
-    "Remember: \n",
-    "\n",
-    "- taking a slice subset of an array is extremely fast (no data is copied)\n",
-    "- if one modifies that subset in-place, one also **modifies the original array**\n",
-    "- **.copy()** returns a copy of the subset (takes speed and memory) but allows you to change the subset without modifying the original array in the same time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   0   0\n",
-       "102        F   0   0\n",
-       "103        M   0   0\n",
-       "103        F   0   0\n",
-       "104        M   0   0\n",
-       "104        F   0   0\n",
-       "105        M   0   0\n",
-       "105        F   0   0"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# indeed, data from the original array have also changed\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   0   0\n",
-       "102        F   0   0\n",
-       "103        M   0   0\n",
-       "103        F   0   0\n",
-       "104        M   0   0\n",
-       "104        F   0   0\n",
-       "105        M   0   0\n",
-       "105        F   0   0"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the right way\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
-    "\n",
-    "pop2 = pop.copy()\n",
-    "pop2[102:] = 0\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   8   0\n",
-       "102        F  26   1\n",
-       "103        M   2   1\n",
-       "103        F  17   2\n",
-       "104        M   2   1\n",
-       "104        F  14   0\n",
-       "105        M   0   0\n",
-       "105        F   2   2"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# now, data from the original array have not changed this time\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Assigning Arrays & Broadcasting"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "Instead of a value, we can also assign an array to a subset. In that case, that array can have less axes than the target but those which are present must be compatible with the subset being targetted."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\nat  BE  FO\n",
-       "      M   1  -1\n",
-       "      F   2  -2"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')\n",
-    "new_value = LArray([[1, -1], [2, -2]],[sex, nat])\n",
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   1  -1\n",
-       "102        F   2  -2\n",
-       "103        M   1  -1\n",
-       "103        F   2  -2\n",
-       "104        M   1  -1\n",
-       "104        F   2  -2\n",
-       "105        M   1  -1\n",
-       "105        F   2  -2"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this assigns 1, -1 to Belgian, Foreigner men \n",
-    "# and 2, -2 to Belgian, Foreigner women for all \n",
-    "# people older than 100\n",
-    "pop[102:] = new_value\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-warning\">\n",
-    "\n",
-    "**Warning**: The array being assigned must have compatible axes with the target subset\n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat   BE   FO\n",
-       "  0        M  0.0  0.0\n",
-       "  0        F  0.0  0.0\n",
-       "  1        M  0.0  0.0\n",
-       "  1        F  0.0  0.0\n",
-       "  2        M  0.0  0.0\n",
-       "  2        F  0.0  0.0"
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# assume we define the following array with shape 3 x 2 x 2\n",
-    "new_value = zeros(['age=0..2', sex, nat]) \n",
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'ValueError'> could not broadcast input array from shape (3,2,2) into shape (4,2,2)\n"
-     ]
-    }
-   ],
-   "source": [
-    "# now let's try to assign the previous array in a subset with shape 7 x 2 x 2\n",
-    "with ExCtx():\n",
-    "    pop[102:] = new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   0   0\n",
-       "102        F   0   0\n",
-       "103        M   0   0\n",
-       "103        F   0   0\n",
-       "104        M   0   0\n",
-       "104        F   0   0\n",
-       "105        M   1  -1\n",
-       "105        F   2  -2"
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# but this works\n",
-    "pop[102:104] = new_value\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Boolean filtering"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Boolean filtering can be use to extract subsets."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age,sex\\nat    BE    FO\n",
-       "        0,F  5900  2817\n",
-       "        1,F  5916  2946\n",
-       "        2,F  5736  2776\n",
-       "        3,F  5883  2734\n",
-       "        4,F  5784  2523\n",
-       "        5,F  5780  2521\n",
-       "        6,F  5759  2290\n",
-       "        7,F  5518  2234\n",
-       "        8,F  5474  2066\n",
-       "        9,F  5354  1896\n",
-       "       10,F  5200  1785"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#Let's focus on population living in Brussels during the year 2016\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
-    "\n",
-    "# here we select all males and females with age less than 5 and 10 respectively\n",
-    "subset = pop[((x.sex == 'H') & (x.age <= 5)) | ((x.sex == 'F') & (x.age <= 10))]\n",
-    "subset"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-info\">\n",
-    "\n",
-    "**Note**: Be aware that after boolean filtering, several axes may have merged. \n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "11 x 2\n",
-       " age,sex [11]: '0,F' '1,F' '2,F' ... '8,F' '9,F' '10,F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 'age' and 'sex' axes have been merged together\n",
-    "subset.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This may be not what you because previous selections on merged axes are no longer valid "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'ValueError'> F is not a valid label for any axis\n"
-     ]
-    }
-   ],
-   "source": [
-    "# now let's try to calculate the proportion of females with age less than 10\n",
-    "with ExCtx():\n",
-    "    subset['F'].sum() / pop['F'].sum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\nat    BE    FO\n",
-       "      0  5900  2817\n",
-       "      1  5916  2946\n",
-       "      2  5736  2776\n",
-       "      3  5883  2734\n",
-       "      4  5784  2523\n",
-       "      5  5780  2521\n",
-       "      6  5759  2290\n",
-       "      7  5518  2234\n",
-       "      8  5474  2066\n",
-       "      9  5354  1896\n",
-       "     10  5200  1785\n",
-       "     11     0     0\n",
-       "     12     0     0\n",
-       "     13     0     0\n",
-       "     14     0     0\n",
-       "     15     0     0\n",
-       "     16     0     0\n",
-       "     17     0     0\n",
-       "     18     0     0\n",
-       "     19     0     0\n",
-       "     20     0     0"
-      ]
-     },
-     "execution_count": 75,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "subset = pop.copy()\n",
-    "subset[((x.sex == 'F') & (x.age > 10))] = 0\n",
-    "subset['F', :20]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.14618110657051941"
-      ]
-     },
-     "execution_count": 76,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# now we can calculate the proportion of females with age less than 10\n",
-    "subset['F'].sum() / pop['F'].sum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Boolean filtering can also mix axes and arrays. Example above could also have been written as"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex  M   F\n",
-       "     5  10"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age_limit = sequence('sex=M,F', initial=5, inc=5)\n",
-    "age_limit"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\sex      M      F\n",
-       "      0   True   True\n",
-       "      1   True   True\n",
-       "      2   True   True\n",
-       "      3   True   True\n",
-       "      4   True   True\n",
-       "      5   True   True\n",
-       "      6  False   True\n",
-       "      7  False   True\n",
-       "      8  False   True\n",
-       "      9  False   True\n",
-       "     10  False   True\n",
-       "     11  False  False\n",
-       "     12  False  False\n",
-       "     13  False  False\n",
-       "     14  False  False\n",
-       "     15  False  False\n",
-       "     16  False  False\n",
-       "     17  False  False\n",
-       "     18  False  False\n",
-       "     19  False  False\n",
-       "     20  False  False"
-      ]
-     },
-     "execution_count": 78,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age = pop.axes['age']\n",
-    "(age <= age_limit)[:20]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.14618110657051941"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "subset = pop.copy()\n",
-    "subset[x.age > age_limit] = 0\n",
-    "subset['F'].sum() / pop['F'].sum()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Finally, you can choose to filter on data instead of axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\nat    BE   FO\n",
-       "     90  1477  136\n",
-       "     91  1298  105\n",
-       "     92  1141   78\n",
-       "     93   906   74\n",
-       "     94   739   65\n",
-       "     95   566   53\n",
-       "     96   327   25\n",
-       "     97   171   21\n",
-       "     98   135    9\n",
-       "     99    92    8\n",
-       "    100    60    3\n",
-       "    101    66    5\n",
-       "    102    26    1\n",
-       "    103    17    2\n",
-       "    104    14    0\n",
-       "    105     2    2\n",
-       "    106     3    3\n",
-       "    107     1    2\n",
-       "    108     1    0\n",
-       "    109     0    0\n",
-       "    110     0    0"
-      ]
-     },
-     "execution_count": 80,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# let's focus on females older than 90\n",
-    "subset = pop['F', 90:110].copy()\n",
-    "subset"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\nat    BE   FO\n",
-       "     90  1477  136\n",
-       "     91  1298  105\n",
-       "     92  1141   78\n",
-       "     93   906   74\n",
-       "     94   739   65\n",
-       "     95   566   53\n",
-       "     96   327   25\n",
-       "     97   171   21\n",
-       "     98   135    0\n",
-       "     99    92    0\n",
-       "    100    60    0\n",
-       "    101    66    0\n",
-       "    102    26    0\n",
-       "    103    17    0\n",
-       "    104    14    0\n",
-       "    105     0    0\n",
-       "    106     0    0\n",
-       "    107     0    0\n",
-       "    108     0    0\n",
-       "    109     0    0\n",
-       "    110     0    0"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# here we set to 0 all data < 10\n",
-    "subset[subset < 10] = 0\n",
-    "subset"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Manipulates axes from arrays"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# let's start with\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Relabeling"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Replace all labels of one axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90      Men   539   74\n",
-       " 90    Women  1477  136\n",
-       " 91      Men   499   49\n",
-       " 91    Women  1298  105\n",
-       " 92      Men   332   35\n",
-       " 92    Women  1141   78\n",
-       " 93      Men   287   27\n",
-       " 93    Women   906   74\n",
-       " 94      Men   237   23\n",
-       " 94    Women   739   65\n",
-       " 95      Men   154   19\n",
-       " 95    Women   566   53"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# returns a copy by default\n",
-    "pop_new_labels = pop.set_labels(x.sex, ['Men', 'Women'])\n",
-    "pop_new_labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# inplace flag avoids to create a copy\n",
-    "pop.set_labels(x.sex, ['M', 'F'], inplace=True)\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Renaming axes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Rename one axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6 x 2 x 2\n",
-       " age [6]: 90 91 92 93 94 95\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 85,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  gender\\nat    BE   FO\n",
-       " 90           M   539   74\n",
-       " 90           F  1477  136\n",
-       " 91           M   499   49\n",
-       " 91           F  1298  105\n",
-       " 92           M   332   35\n",
-       " 92           F  1141   78\n",
-       " 93           M   287   27\n",
-       " 93           F   906   74\n",
-       " 94           M   237   23\n",
-       " 94           F   739   65\n",
-       " 95           M   154   19\n",
-       " 95           F   566   53"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# 'rename' returns a copy of the array\n",
-    "pop2 = pop.rename(x.sex, 'gender')\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Rename several axes at once"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  gender\\nationality    BE   FO\n",
-       " 90                   M   539   74\n",
-       " 90                   F  1477  136\n",
-       " 91                   M   499   49\n",
-       " 91                   F  1298  105\n",
-       " 92                   M   332   35\n",
-       " 92                   F  1141   78\n",
-       " 93                   M   287   27\n",
-       " 93                   F   906   74\n",
-       " 94                   M   237   23\n",
-       " 94                   F   739   65\n",
-       " 95                   M   154   19\n",
-       " 95                   F   566   53"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# No x. here because sex and nat are keywords and not actual axes\n",
-    "pop2 = pop.rename(sex='gender', nat='nationality')\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Reordering axes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Axes can be reordered using *transpose* method. By default, *transpose* reverse axes, otherwise it permutes the axes according to the list given as argument. Axes not mentioned come after those which are mentioned (and keep their relative order). Finally, *transpose* returns a copy of the array."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 88,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# starting order : age, sex, nat\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nat  sex\\age    90    91    92   93   94   95\n",
-       " BE        M   539   499   332  287  237  154\n",
-       " BE        F  1477  1298  1141  906  739  566\n",
-       " FO        M    74    49    35   27   23   19\n",
-       " FO        F   136   105    78   74   65   53"
-      ]
-     },
-     "execution_count": 89,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# no argument --> reverse axes\n",
-    "pop.transpose()\n",
-    "\n",
-    "# .T is a shortcut for .transpose()\n",
-    "pop.T"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  nat\\sex    M     F\n",
-       " 90       BE  539  1477\n",
-       " 90       FO   74   136\n",
-       " 91       BE  499  1298\n",
-       " 91       FO   49   105\n",
-       " 92       BE  332  1141\n",
-       " 92       FO   35    78\n",
-       " 93       BE  287   906\n",
-       " 93       FO   27    74\n",
-       " 94       BE  237   739\n",
-       " 94       FO   23    65\n",
-       " 95       BE  154   566\n",
-       " 95       FO   19    53"
-      ]
-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# reorder according to list\n",
-    "pop.transpose(x.age, x.nat, x.sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex  age\\nat    BE   FO\n",
-       "  M       90   539   74\n",
-       "  M       91   499   49\n",
-       "  M       92   332   35\n",
-       "  M       93   287   27\n",
-       "  M       94   237   23\n",
-       "  M       95   154   19\n",
-       "  F       90  1477  136\n",
-       "  F       91  1298  105\n",
-       "  F       92  1141   78\n",
-       "  F       93   906   74\n",
-       "  F       94   739   65\n",
-       "  F       95   566   53"
-      ]
-     },
-     "execution_count": 91,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# axes not mentioned come after those which are mentioned (and keep their relative order)\n",
-    "pop.transpose(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Aggregates"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Calculate the sum along an axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\nat      BE      FO\n",
-       "      M  375261  204534\n",
-       "      F  401554  206541"
-      ]
-     },
-     "execution_count": 92,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
-    "pop.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or along all axes except one by appending *_by* to the aggregation function"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age    90    91    92    93    94   95\n",
-       "     2226  1951  1586  1294  1064  792"
-      ]
-     },
-     "execution_count": 93,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop[90:95].sum_by(x.age)\n",
-    "# is equivalent to \n",
-    "pop[90:95].sum(x.sex, x.nat)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "There are many other aggregate functions built-in: \n",
-    "\n",
-    "- mean, min, max, median, percentile, var (variance), std (standard deviation)\n",
-    "- argmin, argmax (label indirect minimum/maxium -- labels where the value is minimum/maximum)\n",
-    "- posargmin, posargmax (positional indirect minimum/maxium -- position along axis where the value is minimum/maximum)\n",
-    "- cumsum, cumprod (cumulative sum, cumulative product)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Groups"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One can define groups of labels (or indices)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age[30, 55, 52, 25, 99]"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age = pop.axes['age']\n",
-    "\n",
-    "# using indices (remember: 20 will not be included)\n",
-    "teens = age.i[10:20]\n",
-    "# using labels\n",
-    "pensioners = age[67:]\n",
-    "strange = age[[30, 55, 52, 25, 99]]\n",
-    "\n",
-    "strange"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or rename them"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age[67:] >> 'pensioners'"
-      ]
-     },
-     "execution_count": 95,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# method 'named' returns a new group with the given name\n",
-    "teens = teens.named('children')\n",
-    "\n",
-    "# operator >> is a shortcut for 'named'\n",
-    "pensioners = pensioners >> 'pensioners'\n",
-    "\n",
-    "pensioners"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Then, use them in selections"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 96,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE    FO\n",
-       " 30        M  5278  4725\n",
-       " 30        F  5253  5419\n",
-       " 55        M  4457  2196\n",
-       " 55        F  4953  2059\n",
-       " 52        M  4635  2640\n",
-       " 52        F  4740  2333\n",
-       " 25        M  5477  3590\n",
-       " 25        F  5539  4635\n",
-       " 99        M    20     2\n",
-       " 99        F    92     8"
-      ]
-     },
-     "execution_count": 96,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop[strange]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or aggregations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\nat     BE     FO\n",
-       "      M  44138   9939\n",
-       "      F  70314  13241"
-      ]
-     },
-     "execution_count": 97,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.sum(pensioners)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 98,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "           age  sex\\nat     BE     FO\n",
-       "      children        M  49143  17100\n",
-       "      children        F  47226  16523\n",
-       "    pensioners        M  44138   9939\n",
-       "    pensioners        F  70314  13241\n",
-       "30,55,52,25,99        M  19867  13153\n",
-       "30,55,52,25,99        F  20577  14454"
-      ]
-     },
-     "execution_count": 98,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# several groups (here you see the interest of groups renaming)\n",
-    "pop.sum((teens, pensioners, strange))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "       age\\sex      M      F\n",
-       "      children  66243  63749\n",
-       "    pensioners  54077  83555\n",
-       "30,55,52,25,99  33020  35031"
-      ]
-     },
-     "execution_count": 99,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# combined with other axes\n",
-    "pop.sum((teens, pensioners, strange), x.nat)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Arithmetic operations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 100,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 100,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# go back to our 6 x 2 x 2 example array\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Usual Operations"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 101,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   739  274\n",
-       " 90        F  1677  336\n",
-       " 91        M   699  249\n",
-       " 91        F  1498  305\n",
-       " 92        M   532  235\n",
-       " 92        F  1341  278\n",
-       " 93        M   487  227\n",
-       " 93        F  1106  274\n",
-       " 94        M   437  223\n",
-       " 94        F   939  265\n",
-       " 95        M   354  219\n",
-       " 95        F   766  253"
-      ]
-     },
-     "execution_count": 101,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# addition\n",
-    "pop + 200"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 102,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M  1078  148\n",
-       " 90        F  2954  272\n",
-       " 91        M   998   98\n",
-       " 91        F  2596  210\n",
-       " 92        M   664   70\n",
-       " 92        F  2282  156\n",
-       " 93        M   574   54\n",
-       " 93        F  1812  148\n",
-       " 94        M   474   46\n",
-       " 94        F  1478  130\n",
-       " 95        M   308   38\n",
-       " 95        F  1132  106"
-      ]
-     },
-     "execution_count": 102,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# multiplication\n",
-    "pop * 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 103,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat       BE     FO\n",
-       " 90        M   290521   5476\n",
-       " 90        F  2181529  18496\n",
-       " 91        M   249001   2401\n",
-       " 91        F  1684804  11025\n",
-       " 92        M   110224   1225\n",
-       " 92        F  1301881   6084\n",
-       " 93        M    82369    729\n",
-       " 93        F   820836   5476\n",
-       " 94        M    56169    529\n",
-       " 94        F   546121   4225\n",
-       " 95        M    23716    361\n",
-       " 95        F   320356   2809"
-      ]
-     },
-     "execution_count": 103,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ** means raising to the power (squaring in this case)\n",
-    "pop ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 104,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       " 90        M   9   4\n",
-       " 90        F   7   6\n",
-       " 91        M   9   9\n",
-       " 91        F   8   5\n",
-       " 92        M   2   5\n",
-       " 92        F   1   8\n",
-       " 93        M   7   7\n",
-       " 93        F   6   4\n",
-       " 94        M   7   3\n",
-       " 94        F   9   5\n",
-       " 95        M   4   9\n",
-       " 95        F   6   3"
-      ]
-     },
-     "execution_count": 104,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# % means modulo (aka remainder of division)\n",
-    "pop % 10"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "More interestingly, it also works between two arrays"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 105,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat                  BE                  FO\n",
-       " 90        M   94.00000000000001  13.000000000000004\n",
-       " 90        F  204.00000000000003  19.000000000000004\n",
-       " 91        M                95.0                 9.0\n",
-       " 91        F  200.00000000000006                16.0\n",
-       " 92        M                70.0                 7.0\n",
-       " 92        F  195.00000000000006  13.000000000000004\n",
-       " 93        M   66.00000000000001                 6.0\n",
-       " 93        F  171.99999999999997                14.0\n",
-       " 94        M                59.0                 6.0\n",
-       " 94        F  155.00000000000003                14.0\n",
-       " 95        M                41.0                 5.0\n",
-       " 95        F               130.0  12.000000000000004"
-      ]
-     },
-     "execution_count": 105,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# load mortality equivalent array\n",
-    "mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] \n",
-    "\n",
-    "# compute number of deaths\n",
-    "death = pop * mortality\n",
-    "death"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-info\">\n",
-    "\n",
-    "**Note**: Be careful when mixing different data types. See **type promotion** in programming. You can use the method *astype* tu change the data type of an array.\n",
-    "\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 106,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat   BE  FO\n",
-       " 90        M   94  13\n",
-       " 90        F  204  19\n",
-       " 91        M   95   9\n",
-       " 91        F  200  16\n",
-       " 92        M   70   7\n",
-       " 92        F  195  13\n",
-       " 93        M   66   6\n",
-       " 93        F  171  14\n",
-       " 94        M   59   6\n",
-       " 94        F  155  14\n",
-       " 95        M   41   5\n",
-       " 95        F  130  12"
-      ]
-     },
-     "execution_count": 106,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# to be sure to get number of deaths as integers\n",
-    "# one can use .astype() method\n",
-    "death = (pop * mortality).astype(int)\n",
-    "death"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "But operations between two arrays only works when they have compatible axes (i.e. same labels)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 107,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'ValueError'> incompatible axes:\n",
-      "Axis([93, 94, 95], 'age')\n",
-      "vs\n",
-      "Axis([90, 91, 92], 'age')\n"
-     ]
-    }
-   ],
-   "source": [
-    "with ExCtx():\n",
-    "    pop[90:92] * mortality[93:95]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can override that but at your own risk. In that case only the position on the axis is used and not the labels."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 108,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat                  BE                  FO\n",
-       " 90        M  123.95121951219514  16.444444444444443\n",
-       " 90        F    280.401766004415   25.72972972972973\n",
-       " 91        M  124.22362869198312  12.782608695652174\n",
-       " 91        F  272.24627875507446  22.615384615384617\n",
-       " 92        M   88.38961038961038   9.210526315789473\n",
-       " 92        F  262.06713780918733   17.66037735849057"
-      ]
-     },
-     "execution_count": 108,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop[90:92] * mortality[93:95].drop_labels(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Boolean Operations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 109,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat     BE    FO\n",
-       " 90        M    539    74\n",
-       " 90        F  -1477  -136\n",
-       " 91        M    499    49\n",
-       " 91        F  -1298  -105\n",
-       " 92        M    332    35\n",
-       " 92        F  -1141   -78\n",
-       " 93        M    287    27\n",
-       " 93        F   -906   -74\n",
-       " 94        M    237    23\n",
-       " 94        F   -739   -65\n",
-       " 95        M    154    19\n",
-       " 95        F   -566   -53"
-      ]
-     },
-     "execution_count": 109,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop2 = pop.copy()\n",
-    "pop2['F'] = -pop2['F']\n",
-    "pop2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat     BE     FO\n",
-       " 90        M   True   True\n",
-       " 90        F  False  False\n",
-       " 91        M   True   True\n",
-       " 91        F  False  False\n",
-       " 92        M   True   True\n",
-       " 92        F  False  False\n",
-       " 93        M   True   True\n",
-       " 93        F  False  False\n",
-       " 94        M   True   True\n",
-       " 94        F  False  False\n",
-       " 95        M   True   True\n",
-       " 95        F  False  False"
-      ]
-     },
-     "execution_count": 110,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# testing for equality is done using == (a single = assigns the value)\n",
-    "pop == pop2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 111,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat     BE     FO\n",
-       " 90        M  False  False\n",
-       " 90        F   True   True\n",
-       " 91        M  False  False\n",
-       " 91        F   True   True\n",
-       " 92        M  False  False\n",
-       " 92        F   True   True\n",
-       " 93        M  False  False\n",
-       " 93        F   True   True\n",
-       " 94        M  False  False\n",
-       " 94        F   True   True\n",
-       " 95        M  False  False\n",
-       " 95        F   True   True"
-      ]
-     },
-     "execution_count": 111,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# testing for inequality\n",
-    "pop != pop2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 112,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 112,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# what was our original array like again?\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat     BE     FO\n",
-       " 90        M   True  False\n",
-       " 90        F  False  False\n",
-       " 91        M  False  False\n",
-       " 91        F  False  False\n",
-       " 92        M  False  False\n",
-       " 92        F  False  False\n",
-       " 93        M  False  False\n",
-       " 93        F   True  False\n",
-       " 94        M  False  False\n",
-       " 94        F   True  False\n",
-       " 95        M  False  False\n",
-       " 95        F   True  False"
-      ]
-     },
-     "execution_count": 113,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# & means (boolean array) and\n",
-    "(pop >= 500) & (pop <= 1000)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat     BE    FO\n",
-       " 90        M  False  True\n",
-       " 90        F   True  True\n",
-       " 91        M   True  True\n",
-       " 91        F   True  True\n",
-       " 92        M   True  True\n",
-       " 92        F   True  True\n",
-       " 93        M   True  True\n",
-       " 93        F  False  True\n",
-       " 94        M   True  True\n",
-       " 94        F  False  True\n",
-       " 95        M   True  True\n",
-       " 95        F  False  True"
-      ]
-     },
-     "execution_count": 114,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# | means (boolean array) or\n",
-    "(pop < 500) | (pop > 1000)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Arithmetic operations with missing axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\nat    BE   FO\n",
-       "      M  2048  227\n",
-       "      F  6127  511"
-      ]
-     },
-     "execution_count": 115,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 116,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6 x 2 x 2\n",
-       " age [6]: 90 91 92 93 94 95\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 116,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# arr has 3 dimensions\n",
-    "pop.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 117,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2 x 2\n",
-       " sex [2]: 'M' 'F'\n",
-       " nat [2]: 'BE' 'FO'"
-      ]
-     },
-     "execution_count": 117,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# and arr.sum(age) has two\n",
-    "pop.sum(x.age).info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 118,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat                   BE                   FO\n",
-       " 90        M        0.26318359375  0.32599118942731276\n",
-       " 90        F   0.2410641423208748  0.26614481409001955\n",
-       " 91        M        0.24365234375  0.21585903083700442\n",
-       " 91        F   0.2118491921005386   0.2054794520547945\n",
-       " 92        M          0.162109375  0.15418502202643172\n",
-       " 92        F  0.18622490615309287  0.15264187866927592\n",
-       " 93        M        0.14013671875  0.11894273127753303\n",
-       " 93        F  0.14787008323812634  0.14481409001956946\n",
-       " 94        M        0.11572265625   0.1013215859030837\n",
-       " 94        F  0.12061367716663947  0.12720156555772993\n",
-       " 95        M         0.0751953125  0.08370044052863436\n",
-       " 95        F  0.09237799902072792  0.10371819960861056"
-      ]
-     },
-     "execution_count": 118,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# you can do operation with missing axes so this works\n",
-    "pop / pop.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Axis order does not matter much (except for output)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can do operations between arrays having different axes order. The axis order of the result is the same as the left array"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 119,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53"
-      ]
-     },
-     "execution_count": 119,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 120,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nat  sex\\age    90    91    92   93   94   95\n",
-       " BE        M   539   499   332  287  237  154\n",
-       " BE        F  1477  1298  1141  906  739  566\n",
-       " FO        M    74    49    35   27   23   19\n",
-       " FO        F   136   105    78   74   65   53"
-      ]
-     },
-     "execution_count": 120,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# let us change the order of axes\n",
-    "pop_transposed = pop.T\n",
-    "pop_transposed"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 121,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "nat  sex\\age    90    91    92    93    94    95\n",
-       " BE        M  1078   998   664   574   474   308\n",
-       " BE        F  2954  2596  2282  1812  1478  1132\n",
-       " FO        M   148    98    70    54    46    38\n",
-       " FO        F   272   210   156   148   130   106"
-      ]
-     },
-     "execution_count": 121,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# mind blowing\n",
-    "pop_transposed + pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Combining arrays"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Append/Prepend"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Append/prepend one element to an axis of an array"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 122,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO  NEU\n",
-       " 90        M   539   74   25\n",
-       " 90        F  1477  136   54\n",
-       " 91        M   499   49   15\n",
-       " 91        F  1298  105   33\n",
-       " 92        M   332   35   12\n",
-       " 92        F  1141   78   28\n",
-       " 93        M   287   27   11\n",
-       " 93        F   906   74   37\n",
-       " 94        M   237   23    5\n",
-       " 94        F   739   65   21\n",
-       " 95        M   154   19    7\n",
-       " 95        F   566   53   19"
-      ]
-     },
-     "execution_count": 122,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] \n",
-    "\n",
-    "# imagine that you have now acces to the number of non-EU foreigners\n",
-    "data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]\n",
-    "pop_non_eu = LArray(data, pop['FO'].axes)\n",
-    "\n",
-    "# you can do something like this\n",
-    "pop = pop.append(nat, pop_non_eu, 'NEU')\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 123,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO  NEU\n",
-       " 90        B  2016  210   79\n",
-       " 90        M   539   74   25\n",
-       " 90        F  1477  136   54\n",
-       " 91        B  1797  154   48\n",
-       " 91        M   499   49   15\n",
-       " 91        F  1298  105   33\n",
-       " 92        B  1473  113   40\n",
-       " 92        M   332   35   12\n",
-       " 92        F  1141   78   28\n",
-       " 93        B  1193  101   48\n",
-       " 93        M   287   27   11\n",
-       " 93        F   906   74   37\n",
-       " 94        B   976   88   26\n",
-       " 94        M   237   23    5\n",
-       " 94        F   739   65   21\n",
-       " 95        B   720   72   26\n",
-       " 95        M   154   19    7\n",
-       " 95        F   566   53   19"
-      ]
-     },
-     "execution_count": 123,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# you can also add something at the start of an axis\n",
-    "pop = pop.prepend(x.sex, pop.sum(x.sex), 'B')\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 124,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex    B    M    F\n",
-       "     0.0  0.0  0.0"
-      ]
-     },
-     "execution_count": 124,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "aliens = zeros(pop.axes['sex'])\n",
-    "aliens"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 125,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO  NEU  AL\n",
-       " 90        B  2016  210   79   0\n",
-       " 90        M   539   74   25   0\n",
-       " 90        F  1477  136   54   0\n",
-       " 91        B  1797  154   48   0\n",
-       " 91        M   499   49   15   0\n",
-       " 91        F  1298  105   33   0\n",
-       " 92        B  1473  113   40   0\n",
-       " 92        M   332   35   12   0\n",
-       " 92        F  1141   78   28   0\n",
-       " 93        B  1193  101   48   0\n",
-       " 93        M   287   27   11   0\n",
-       " 93        F   906   74   37   0\n",
-       " 94        B   976   88   26   0\n",
-       " 94        M   237   23    5   0\n",
-       " 94        F   739   65   21   0\n",
-       " 95        B   720   72   26   0\n",
-       " 95        M   154   19    7   0\n",
-       " 95        F   566   53   19   0"
-      ]
-     },
-     "execution_count": 125,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop = pop.append(x.nat, aliens, 'AL')\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Extend"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Extend an array along an axis with another array *with* that axis (but other labels)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO\n",
-       " 90        M   539   74\n",
-       " 90        F  1477  136\n",
-       " 91        M   499   49\n",
-       " 91        F  1298  105\n",
-       " 92        M   332   35\n",
-       " 92        F  1141   78\n",
-       " 93        M   287   27\n",
-       " 93        F   906   74\n",
-       " 94        M   237   23\n",
-       " 94        F   739   65\n",
-       " 95        M   154   19\n",
-       " 95        F   566   53\n",
-       " 96        M    80    9\n",
-       " 96        F   327   25\n",
-       " 97        M    43    9\n",
-       " 97        F   171   21\n",
-       " 98        M    23    4\n",
-       " 98        F   135    9\n",
-       " 99        M    20    2\n",
-       " 99        F    92    8\n",
-       "100        M    12    0\n",
-       "100        F    60    3"
-      ]
-     },
-     "execution_count": 126,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "_pop = load_example_data('demography').pop\n",
-    "pop = _pop[2016, 'BruCap', 90:95] \n",
-    "pop_next = _pop[2016, 'BruCap', 96:100]\n",
-    "\n",
-    "# concatenate along age axis\n",
-    "pop.extend(x.age, pop_next)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Stack"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Stack several arrays together to create an entirely new dimension"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 127,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO  NEU\n",
-       " 90        M   539   74   25\n",
-       " 90        F  1477  136   54\n",
-       " 91        M   499   49   15\n",
-       " 91        F  1298  105   33\n",
-       " 92        M   332   35   12\n",
-       " 92        F  1141   78   28\n",
-       " 93        M   287   27   11\n",
-       " 93        F   906   74   37\n",
-       " 94        M   237   23    5\n",
-       " 94        F   739   65   21\n",
-       " 95        M   154   19    7\n",
-       " 95        F   566   53   19"
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)\n",
-    "pop_be, pop_fo = pop['BE'], pop['FO']\n",
-    "\n",
-    "# first way to stack them\n",
-    "nat = Axis('nat=BE,FO,NEU')\n",
-    "pop = stack([pop_be, pop_fo, pop_non_eu], nat)\n",
-    "\n",
-    "# second way\n",
-    "pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')\n",
-    "\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Sorting"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Sort an axis (alphabetically if labels are strings)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat    BE   FO  NEU\n",
-       " 90        M   539   74   25\n",
-       " 90        F  1477  136   54\n",
-       " 91        M   499   49   15\n",
-       " 91        F  1298  105   33\n",
-       " 92        M   332   35   12\n",
-       " 92        F  1141   78   28\n",
-       " 93        M   287   27   11\n",
-       " 93        F   906   74   37\n",
-       " 94        M   237   23    5\n",
-       " 94        F   739   65   21\n",
-       " 95        M   154   19    7\n",
-       " 95        F   566   53   19"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop_sorted = pop.sort_axis(x.nat)\n",
-    "pop_sorted"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Give labels which would sort the axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO  NEU\n",
-       " 90        0   M   M    M\n",
-       " 90        1   F   F    F\n",
-       " 91        0   M   M    M\n",
-       " 91        1   F   F    F\n",
-       " 92        0   M   M    M\n",
-       " 92        1   F   F    F\n",
-       " 93        0   M   M    M\n",
-       " 93        1   F   F    F\n",
-       " 94        0   M   M    M\n",
-       " 94        1   F   F    F\n",
-       " 95        0   M   M    M\n",
-       " 95        1   F   F    F"
-      ]
-     },
-     "execution_count": 129,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop_sorted.argsort(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Sort according to values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  NEU   FO    BE\n",
-       " 90        M   25   74   539\n",
-       " 90        F   54  136  1477\n",
-       " 91        M   15   49   499\n",
-       " 91        F   33  105  1298\n",
-       " 92        M   12   35   332\n",
-       " 92        F   28   78  1141\n",
-       " 93        M   11   27   287\n",
-       " 93        F   37   74   906\n",
-       " 94        M    5   23   237\n",
-       " 94        F   21   65   739\n",
-       " 95        M    7   19   154\n",
-       " 95        F   19   53   566"
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop_sorted.sort_values((90, 'F'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plotting"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Create a plot (last axis define the different curves to draw)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 131,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2e4c8b13160>"
-      ]
-     },
-     "execution_count": 131,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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JMpoH6e6dz3MfFEXRv4zlvlu3bp1pue/p06djZGREnz59sozTunVrDh48yMaN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\nGxsbG5sB+X++eApUwj94ugAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x2e4c8b17438>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pop.plot()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 132,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2e4c91f6518>"
-      ]
-     },
-     "execution_count": 132,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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7k78iuFdvEgLz9t3NdhZ2zPObR8/KPVlxZQWDdg8iKj4qd05Wsye0/xWCD8PK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\nIAiCkBMRhCAIgpATEYQgCIKQk/8PGd/Pfz5xo08AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x2e4c8d19ac8>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plot total of both sex\n",
-    "pop.sum(x.sex).plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Interesting methods"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "102        M   8   0\n",
-       "102        F  26   1\n",
-       "103        M   2   1\n",
-       "103        F  17   2\n",
-       "104        M   2   1\n",
-       "104        F  14   0\n",
-       "105        M   0   0\n",
-       "105        F   2   2"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# starting array\n",
-    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### with total"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Add totals to one axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 134,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12   0\n",
-       "100        F  60   3\n",
-       "100        B  72   3\n",
-       "101        M  12   2\n",
-       "101        F  66   5\n",
-       "101        B  78   7\n",
-       "102        M   8   0\n",
-       "102        F  26   1\n",
-       "102        B  34   1\n",
-       "103        M   2   1\n",
-       "103        F  17   2\n",
-       "103        B  19   3\n",
-       "104        M   2   1\n",
-       "104        F  14   0\n",
-       "104        B  16   1\n",
-       "105        M   0   0\n",
-       "105        F   2   2\n",
-       "105        B   2   2"
-      ]
-     },
-     "execution_count": 134,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.with_total(x.sex, label='B')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Add totals to all axes at once"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 135,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "  age  sex\\nat   BE  FO  total\n",
-       "  100        M   12   0     12\n",
-       "  100        F   60   3     63\n",
-       "  100    total   72   3     75\n",
-       "  101        M   12   2     14\n",
-       "  101        F   66   5     71\n",
-       "  101    total   78   7     85\n",
-       "  102        M    8   0      8\n",
-       "  102        F   26   1     27\n",
-       "  102    total   34   1     35\n",
-       "  103        M    2   1      3\n",
-       "  103        F   17   2     19\n",
-       "  103    total   19   3     22\n",
-       "  104        M    2   1      3\n",
-       "  104        F   14   0     14\n",
-       "  104    total   16   1     17\n",
-       "  105        M    0   0      0\n",
-       "  105        F    2   2      4\n",
-       "  105    total    2   2      4\n",
-       "total        M   36   4     40\n",
-       "total        F  185  13    198\n",
-       "total    total  221  17    238"
-      ]
-     },
-     "execution_count": 135,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# by default label is 'total'\n",
-    "pop.with_total()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### where"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "where can be used to apply some compution depending on a condition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 136,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat   BE  FO\n",
-       "100        M  -12   0\n",
-       "100        F  -60   0\n",
-       "101        M  -12   0\n",
-       "101        F  -66   0\n",
-       "102        M    0   0\n",
-       "102        F  -26   0\n",
-       "103        M    0   0\n",
-       "103        F  -17   0\n",
-       "104        M    0   0\n",
-       "104        F  -14   0\n",
-       "105        M    0   0\n",
-       "105        F    0   0"
-      ]
-     },
-     "execution_count": 136,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# where(condition, value if true, value if false)\n",
-    "where(pop < 10, 0, -pop)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### clip"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Set all data between a certain range"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 137,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age  sex\\nat  BE  FO\n",
-       "100        M  12  10\n",
-       "100        F  50  10\n",
-       "101        M  12  10\n",
-       "101        F  50  10\n",
-       "102        M  10  10\n",
-       "102        F  26  10\n",
-       "103        M  10  10\n",
-       "103        F  17  10\n",
-       "104        M  10  10\n",
-       "104        F  14  10\n",
-       "105        M  10  10\n",
-       "105        F  10  10"
-      ]
-     },
-     "execution_count": 137,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# clip(min, max)\n",
-    "# values below 10 are set to 10 and values above 50 are set to 50\n",
-    "pop.clip(10, 50)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### divnot0"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Replace division by 0 to 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\sex    M     F\n",
-       "    100  inf  20.0\n",
-       "    101  6.0  13.2\n",
-       "    102  inf  26.0\n",
-       "    103  2.0   8.5\n",
-       "    104  2.0   inf\n",
-       "    105  nan   1.0"
-      ]
-     },
-     "execution_count": 138,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop['BE'] / pop['FO']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 139,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\sex    M     F\n",
-       "    100  0.0  20.0\n",
-       "    101  6.0  13.2\n",
-       "    102  0.0  26.0\n",
-       "    103  2.0   8.5\n",
-       "    104  2.0   0.0\n",
-       "    105  0.0   1.0"
-      ]
-     },
-     "execution_count": 139,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# divnot0 replaces results of division by 0 by 0. \n",
-    "# Using it should be done with care though\n",
-    "# because it can hide a real error in your data.\n",
-    "pop['BE'].divnot0(pop['FO'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### diff"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "*diff* calculates the n-th order discrete difference along given axis. \n",
-    "The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 140,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat    BE    FO\n",
-       "2005        M  4289  1591\n",
-       "2005        F  4661  1584\n",
-       "2006        M  4335  1761\n",
-       "2006        F  4781  1580\n",
-       "2007        M  4291  1806\n",
-       "2007        F  4719  1650\n",
-       "2008        M  4349  1773\n",
-       "2008        F  4731  1680\n",
-       "2009        M  4429  2003\n",
-       "2009        F  4824  1722\n",
-       "2010        M  4582  2085\n",
-       "2010        F  4869  1928\n",
-       "2011        M  4677  2294\n",
-       "2011        F  5015  2104\n",
-       "2012        M  4463  2450\n",
-       "2012        F  4722  2186\n",
-       "2013        M  4610  2604\n",
-       "2013        F  4711  2254\n",
-       "2014        M  4725  2709\n",
-       "2014        F  4788  2349\n",
-       "2015        M  4841  2891\n",
-       "2015        F  4813  2498"
-      ]
-     },
-     "execution_count": 140,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]\n",
-    "pop"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 141,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat    BE   FO\n",
-       "2006        M    46  170\n",
-       "2006        F   120   -4\n",
-       "2007        M   -44   45\n",
-       "2007        F   -62   70\n",
-       "2008        M    58  -33\n",
-       "2008        F    12   30\n",
-       "2009        M    80  230\n",
-       "2009        F    93   42\n",
-       "2010        M   153   82\n",
-       "2010        F    45  206\n",
-       "2011        M    95  209\n",
-       "2011        F   146  176\n",
-       "2012        M  -214  156\n",
-       "2012        F  -293   82\n",
-       "2013        M   147  154\n",
-       "2013        F   -11   68\n",
-       "2014        M   115  105\n",
-       "2014        F    77   95\n",
-       "2015        M   116  182\n",
-       "2015        F    25  149"
-      ]
-     },
-     "execution_count": 141,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# calculates 'pop[year+1] - pop[year]'\n",
-    "pop.diff(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat    BE   FO\n",
-       "2007        M     2  215\n",
-       "2007        F    58   66\n",
-       "2008        M    14   12\n",
-       "2008        F   -50  100\n",
-       "2009        M   138  197\n",
-       "2009        F   105   72\n",
-       "2010        M   233  312\n",
-       "2010        F   138  248\n",
-       "2011        M   248  291\n",
-       "2011        F   191  382\n",
-       "2012        M  -119  365\n",
-       "2012        F  -147  258\n",
-       "2013        M   -67  310\n",
-       "2013        F  -304  150\n",
-       "2014        M   262  259\n",
-       "2014        F    66  163\n",
-       "2015        M   231  287\n",
-       "2015        F   102  244"
-      ]
-     },
-     "execution_count": 142,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# calculates 'pop[year+2] - pop[year]'\n",
-    "pop.diff(x.time, d=2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ratio"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 143,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat                  BE                   FO\n",
-       "2005        M   0.729421768707483    0.270578231292517\n",
-       "2005        F  0.7463570856685349   0.2536429143314652\n",
-       "2006        M  0.7111220472440944   0.2888779527559055\n",
-       "2006        F  0.7516113818581984   0.2483886181418016\n",
-       "2007        M   0.703788748564868  0.29621125143513205\n",
-       "2007        F  0.7409326424870466  0.25906735751295334\n",
-       "2008        M  0.7103887618425351  0.28961123815746487\n",
-       "2008        F  0.7379503977538605  0.26204960224613943\n",
-       "2009        M  0.6885883084577115  0.31141169154228854\n",
-       "2009        F  0.7369385884509624  0.26306141154903756\n",
-       "2010        M  0.6872656367181641   0.3127343632818359\n",
-       "2010        F  0.7163454465205238   0.2836545534794762\n",
-       "2011        M  0.6709223927700474  0.32907760722995266\n",
-       "2011        F  0.7044528725944655  0.29554712740553446\n",
-       "2012        M  0.6455952553160712  0.35440474468392885\n",
-       "2012        F  0.6835552982049797  0.31644470179502027\n",
-       "2013        M  0.6390352093152204   0.3609647906847796\n",
-       "2013        F  0.6763819095477387   0.3236180904522613\n",
-       "2014        M   0.635593220338983   0.3644067796610169\n",
-       "2014        F  0.6708701134930644   0.3291298865069357\n",
-       "2015        M  0.6260993274702535   0.3739006725297465\n",
-       "2015        F  0.6583230748187663  0.34167692518123377"
-      ]
-     },
-     "execution_count": 143,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.ratio(x.nat)\n",
-    "\n",
-    "# which is equivalent to\n",
-    "pop / pop.sum(x.nat)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### percents"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat                  BE                  FO\n",
-       "2005        M    72.9421768707483    27.0578231292517\n",
-       "2005        F   74.63570856685348  25.364291433146516\n",
-       "2006        M   71.11220472440945  28.887795275590552\n",
-       "2006        F   75.16113818581984   24.83886181418016\n",
-       "2007        M    70.3788748564868  29.621125143513204\n",
-       "2007        F   74.09326424870466  25.906735751295336\n",
-       "2008        M   71.03887618425351   28.96112381574649\n",
-       "2008        F   73.79503977538606  26.204960224613945\n",
-       "2009        M   68.85883084577114  31.141169154228855\n",
-       "2009        F   73.69385884509624   26.30614115490376\n",
-       "2010        M   68.72656367181641  31.273436328183593\n",
-       "2010        F   71.63454465205237  28.365455347947623\n",
-       "2011        M   67.09223927700474   32.90776072299526\n",
-       "2011        F   70.44528725944654  29.554712740553448\n",
-       "2012        M   64.55952553160712  35.440474468392885\n",
-       "2012        F   68.35552982049798  31.644470179502026\n",
-       "2013        M   63.90352093152204   36.09647906847796\n",
-       "2013        F   67.63819095477388   32.36180904522613\n",
-       "2014        M  63.559322033898304  36.440677966101696\n",
-       "2014        F   67.08701134930644   32.91298865069357\n",
-       "2015        M   62.60993274702535   37.39006725297465\n",
-       "2015        F   65.83230748187663  34.167692518123374"
-      ]
-     },
-     "execution_count": 144,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# or, if you want the previous ratios in percents\n",
-    "pop.percent(x.nat)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### growth_rate"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "using the same principle than diff..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 145,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat                     BE                      FO\n",
-       "2006        M   0.010725110748426206     0.10685103708359522\n",
-       "2006        F   0.025745548165629694  -0.0025252525252525255\n",
-       "2007        M  -0.010149942329873126     0.02555366269165247\n",
-       "2007        F  -0.012967998326709893     0.04430379746835443\n",
-       "2008        M   0.013516662782568165   -0.018272425249169437\n",
-       "2008        F  0.0025429116338207248     0.01818181818181818\n",
-       "2009        M    0.01839503334099793     0.12972363226170333\n",
-       "2009        F   0.019657577679137603                   0.025\n",
-       "2010        M    0.03454504402799729    0.040938592111832255\n",
-       "2010        F   0.009328358208955223     0.11962833914053426\n",
-       "2011        M    0.02073330423395897     0.10023980815347722\n",
-       "2011        F   0.029985623331279524      0.0912863070539419\n",
-       "2012        M   -0.04575582638443447     0.06800348735832606\n",
-       "2012        F    -0.0584247258225324     0.03897338403041825\n",
-       "2013        M    0.03293748599596684     0.06285714285714286\n",
-       "2013        F  -0.002329521389241847     0.03110704483074108\n",
-       "2014        M   0.024945770065075923     0.04032258064516129\n",
-       "2014        F    0.01634472511144131     0.04214729370008873\n",
-       "2015        M    0.02455026455026455     0.06718346253229975\n",
-       "2015        F  0.0052213868003341685     0.06343124733929331"
-      ]
-     },
-     "execution_count": 145,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.growth_rate(x.time)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### shift"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The *shift* method drops first label of an axis and shifts all subsequent labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 146,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat    BE    FO\n",
-       "2006        M  4289  1591\n",
-       "2006        F  4661  1584\n",
-       "2007        M  4335  1761\n",
-       "2007        F  4781  1580\n",
-       "2008        M  4291  1806\n",
-       "2008        F  4719  1650\n",
-       "2009        M  4349  1773\n",
-       "2009        F  4731  1680\n",
-       "2010        M  4429  2003\n",
-       "2010        F  4824  1722\n",
-       "2011        M  4582  2085\n",
-       "2011        F  4869  1928\n",
-       "2012        M  4677  2294\n",
-       "2012        F  5015  2104\n",
-       "2013        M  4463  2450\n",
-       "2013        F  4722  2186\n",
-       "2014        M  4610  2604\n",
-       "2014        F  4711  2254\n",
-       "2015        M  4725  2709\n",
-       "2015        F  4788  2349"
-      ]
-     },
-     "execution_count": 146,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pop.shift(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 147,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time*  sex\\nat    BE    FO\n",
-       "    0        M  True  True\n",
-       "    0        F  True  True\n",
-       "    1        M  True  True\n",
-       "    1        F  True  True\n",
-       "    2        M  True  True\n",
-       "    2        F  True  True\n",
-       "    3        M  True  True\n",
-       "    3        F  True  True\n",
-       "    4        M  True  True\n",
-       "    4        F  True  True\n",
-       "    5        M  True  True\n",
-       "    5        F  True  True\n",
-       "    6        M  True  True\n",
-       "    6        F  True  True\n",
-       "    7        M  True  True\n",
-       "    7        F  True  True\n",
-       "    8        M  True  True\n",
-       "    8        F  True  True\n",
-       "    9        M  True  True\n",
-       "    9        F  True  True"
-      ]
-     },
-     "execution_count": 147,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# when shift is applied on an (increasing) time axis, it effectively brings \"past\" data into the future\n",
-    "pop.shift(x.time).drop_labels(x.time) == pop[2005:2014].drop_labels(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 148,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time  sex\\nat    BE   FO\n",
-       "2006        M    46  170\n",
-       "2006        F   120   -4\n",
-       "2007        M   -44   45\n",
-       "2007        F   -62   70\n",
-       "2008        M    58  -33\n",
-       "2008        F    12   30\n",
-       "2009        M    80  230\n",
-       "2009        F    93   42\n",
-       "2010        M   153   82\n",
-       "2010        F    45  206\n",
-       "2011        M    95  209\n",
-       "2011        F   146  176\n",
-       "2012        M  -214  156\n",
-       "2012        F  -293   82\n",
-       "2013        M   147  154\n",
-       "2013        F   -11   68\n",
-       "2014        M   115  105\n",
-       "2014        F    77   95\n",
-       "2015        M   116  182\n",
-       "2015        F    25  149"
-      ]
-     },
-     "execution_count": 148,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this is mostly useful when you want to do operations between the past and now\n",
-    "# as an example, here is an alternative implementation of the .diff method seen above:\n",
-    "pop.i[1:] - pop.shift(x.time)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Misc other interesting functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There are a lot more functions available: \n",
-    "- round, floor, ceil, trunc, \n",
-    "- exp, log, log10, \n",
-    "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
-    "- sin, cos, tan, arcsin, arccos, arctan\n",
-    "- ...\n",
-    "- and many many more..."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Sessions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can group several arrays in a *Session*"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 149,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(arr1, arr2, arr3)"
-      ]
-     },
-     "execution_count": 149,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# load several arrays\n",
-    "arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))\n",
-    "\n",
-    "# create and populate a 'session'\n",
-    "s1 = Session()\n",
-    "s1.arr1 = arr1\n",
-    "s1.arr2 = arr2\n",
-    "s1.arr3 = arr3\n",
-    "\n",
-    "s1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The advantage of sessions is that you can manipulate all of the arrays in them in one shot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
-    "s1.save('test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 151,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
-    "s1.save('test.h5')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 152,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(arr1, arr2, arr3)"
-      ]
-     },
-     "execution_count": 152,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this creates a session out of all arrays in the .h5 file\n",
-    "s2 = Session('test.h5')\n",
-    "s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(arr1, arr2, arr3)"
-      ]
-     },
-     "execution_count": 153,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this creates a session out of all arrays in the .xlsx file\n",
-    "s3 = Session('test.xlsx')\n",
-    "s3"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can compare two sessions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 154,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "name  arr1  arr2  arr3\n",
-       "      True  True  True"
-      ]
-     },
-     "execution_count": 154,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1 == s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 155,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us introduce a difference (a variant, or a mistake perhaps)\n",
-    "s2.arr1['a0', 'b1':] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 156,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "name   arr1  arr2  arr3\n",
-       "      False  True  True"
-      ]
-     },
-     "execution_count": 156,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1 == s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 157,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(arr1)"
-      ]
-     },
-     "execution_count": 157,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1_diff = s1[s1 != s2]\n",
-    "s1_diff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 158,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(arr1)"
-      ]
-     },
-     "execution_count": 158,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s2_diff = s2[s1 != s2]\n",
-    "s2_diff"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This a bit experimental but can be usefull nonetheless (Open a graphical interface)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 159,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "compare(s1_diff.arr1, s2_diff.arr1)"
-   ]
-  }
- ],
- "metadata": {
-  "anaconda-cloud": {},
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.6.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/doc/source/tutorial/LArray_intro.rst b/doc/source/tutorial/LArray_intro.rst
new file mode 100644
index 000000000..827948c60
--- /dev/null
+++ b/doc/source/tutorial/LArray_intro.rst
@@ -0,0 +1,1403 @@
+.. currentmodule:: larray
+
+Tutorial
+========
+
+This is an introduction to LArray. It is not intended to be a fully
+comprehensive manual. It is mainly dedicated to help new users to
+familiarize with it and others to remind essentials.
+
+The first step to use the LArray library is to import it:
+
+.. ipython:: python
+
+    from larray import *
+
+.. ipython:: python
+   :suppress:
+
+    import warnings
+    warnings.filterwarnings('ignore')
+
+Axis creation
+-------------
+
+An :py:class:`axis <Axis>` represents a dimension of an LArray object.
+It consists of a name and a list of labels. They are several ways to create an axis:
+
+.. ipython:: python
+
+    # create a wildcard axis 
+    age = Axis(3, 'age')
+    # labels given as a list 
+    time = Axis([2007, 2008, 2009], 'time')
+    # create an axis using one string
+    sex = Axis('sex=M,F')
+    # labels generated using a special syntax  
+    other = Axis('other=A01..C03')
+    
+    age, sex, time, other
+
+Array creation
+--------------
+
+A :py:class:`LArray` object represents a multidimensional array with labeled axes.
+
+From scratch
+~~~~~~~~~~~~
+
+To create an array from scratch, you need to provide the data and a list
+of axes. Optionally, a title can be defined.
+
+.. ipython:: python
+
+    import numpy as np
+
+    # list of the axes
+    axes = [age, sex, time, other]
+    # data (the shape of data array must match axes lengths)
+    data = np.random.randint(100, size=[len(axis) for axis in axes])
+    # title (optional)
+    title = 'random data'
+    
+    arr = LArray(data, axes, title)
+    arr
+
+Array creation functions
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+Arrays can also be generated in an easier way through creation functions:
+
+-  :py:func:`ndrange` : fills an array with increasing numbers
+-  :py:func:`ndtest` : same as ndrange but with axes generated automatically
+   (for testing)
+-  :py:func:`empty` : creates an array but leaves its allocated memory
+   unchanged (i.e., it contains "garbage". Be careful !)
+-  :py:func:`zeros` : fills an array with 0
+-  :py:func:`ones` : fills an array with 1
+-  :py:func:`full` : fills an array with a given value
+
+Except for ndtest, a list of axes must be provided.
+Axes can be passed in different ways:
+
+-  as Axis objects
+-  as integers defining the lengths of auto-generated wildcard axes
+-  as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)
+-  as pairs (name, labels)
+
+Optionally, the type of data stored by the array can be specified using argument dtype.
+
+.. ipython:: python
+
+    # start defines the starting value of data
+    ndrange(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
+
+.. ipython:: python
+
+    # start defines the starting value of data
+    # label_start defines the starting index of labels
+    ndtest((3, 3), start=-1, label_start=2)
+
+.. ipython:: python
+
+    # empty generates uninitialised array with correct axes (much faster but use with care!).
+    # This not really random either, it just reuses a portion of memory that is available, with whatever content is there. 
+    # Use it only if performance matters and make sure all data will be overridden. 
+    empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])
+
+.. ipython:: python
+
+    # example with anonymous axes
+    zeros(['0..2', 'M,F', '2007..2009'])
+
+.. ipython:: python
+
+    # dtype=int forces to store int data instead of default float
+    ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)
+
+.. ipython:: python
+
+    full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)
+
+All the above functions exist in *{func}_like* variants which take
+axes from another array
+
+.. ipython:: python
+
+    ones_like(arr)
+
+Sequence
+~~~~~~~~
+
+The special :py:func:`sequence` function allows you to create an array from an
+axis by iteratively applying a function to a given initial value. You
+can choose between **inc** and **mult** functions or define your own.
+
+.. ipython:: python
+
+    # With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... 
+    sequence('sex=M,F', initial=1.0, inc=0.5)
+
+.. ipython:: python
+
+    # With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... 
+    sequence('age=0..2', initial=1.0, mult=2.0) 
+
+.. ipython:: python
+
+    # Using your own function
+    sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)
+
+You can also create N-dimensional array by passing (N-1)-dimensional
+array to initial, inc or mult argument
+
+.. ipython:: python
+
+    birth = LArray([1.05, 1.15], 'sex=M,F')
+    cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)
+    cumulate_newborns
+
+.. ipython:: python
+
+    initial = LArray([90, 100], 'sex=M,F') 
+    survival = LArray([0.96, 0.98], 'sex=M,F')
+    pop = sequence('age=80..83', initial=initial, mult=survival)
+    pop
+
+Load/Dump from files
+--------------------
+
+Load from files
+~~~~~~~~~~~~~~~
+
+.. ipython:: python
+
+    example_dir = EXAMPLE_FILES_DIR
+
+Arrays can be loaded from CSV files (see documentation of :py:func:`read_csv`
+for more details)
+
+.. ipython:: python
+
+    # read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)
+    # read_eurostat is a shortcut to read EUROSTAT TSV files  
+    household = read_csv(example_dir + 'hh.csv')
+    household.info
+
+or Excel sheets (see documentation of :py:func:`read_excel` for more details)
+
+.. ipython:: python
+
+    # loads array from the first sheet if no sheetname is given
+    @verbatim
+    pop = read_excel(example_dir + 'data.xlsx', 'pop')
+
+    @suppress
+    pop = read_csv(example_dir + 'pop.csv')
+
+    pop.info
+
+or HDF5 files (HDF5 is file format designed to store and organize large
+amounts of data. An HDF5 file can contain multiple arrays. See
+documentation of :py:func:`read_hdf` for more details)
+
+.. ipython:: python
+
+    mortality = read_hdf(example_dir + 'data.h5','qx')
+    mortality.info
+
+Dump in files
+~~~~~~~~~~~~~
+
+Arrays can be dumped in CSV files (see documentation of :py:meth:`~LArray.to_csv` for
+more details)
+
+.. ipython:: python
+
+    household.to_csv('hh2.csv')
+
+or in Excel files (see documentation of :py:meth:`~LArray.to_excel` for more details)
+
+.. ipython:: python
+   :verbatim:
+
+    # if the file does not already exist, it is created with a single sheet, 
+    # otherwise a new sheet is added to it
+    household.to_excel('data2.xlsx', overwrite_file=True)
+    # it is usually better to specify the sheet explicitly (by name or position) though
+    household.to_excel('data2.xlsx', 'hh')
+
+or in HDF5 files (see documentation of :py:meth:`~LArray.to_hdf` for more details)
+
+.. ipython:: python
+
+    household.to_hdf('data2.h5', 'hh')
+
+more Excel IO
+~~~~~~~~~~~~~
+
+.. ipython:: python
+
+    # create a 3 x 2 x 3 array 
+    age, sex, time = Axis('age=0..2'), Axis('sex=M,F'), Axis('time=2007..2009')
+    arr = ndrange([age, sex, time])
+    arr
+
+Write Arrays
+^^^^^^^^^^^^
+
+Open an Excel file
+
+.. ipython:: python
+   :verbatim:
+
+    wb = open_excel('test.xlsx', overwrite_file=True)
+
+Put an array in an Excel Sheet, **excluding** headers (labels)
+
+.. ipython:: python
+   :verbatim:
+
+    # put arr at A1 in Sheet1, excluding headers (labels)
+    wb['Sheet1'] = arr
+    # same but starting at A9
+    # note that Sheet1 must exist
+    wb['Sheet1']['A9'] = arr
+
+Put an array in an Excel Sheet, **including** headers (labels)
+
+.. ipython:: python
+   :verbatim:
+
+    # dump arr at A1 in Sheet2, including headers (labels)
+    wb['Sheet2'] = arr.dump()
+    # same but starting at A10
+    wb['Sheet2']['A10'] = arr.dump()
+
+Save file to disk
+
+.. ipython:: python
+   :verbatim:
+
+    wb.save()
+
+Close file
+
+.. ipython:: python
+   :verbatim:
+
+    wb.close()
+
+Read Arrays
+^^^^^^^^^^^
+
+Open an Excel file
+
+.. ipython:: python
+   :verbatim:
+
+    wb = open_excel('test.xlsx')
+
+Load an array from a sheet (assuming the presence of (correctly formatted)
+headers and only one array in sheet)
+
+.. ipython:: python
+
+    # save one array in Sheet3 (including headers)
+    @verbatim
+    wb['Sheet3'] = arr.dump()
+    
+    # load array from the data starting at A1 in Sheet3
+    @verbatim
+    arr = wb['Sheet3'].load()
+
+    arr
+
+Load an array with its axes information from a range
+
+.. ipython:: python
+
+    # if you need to use the same sheet several times,
+    # you can create a sheet variable
+    @verbatim
+    sheet2 = wb['Sheet2']
+    
+    # load array contained in the 4 x 4 table defined by cells A10 and D14
+    @verbatim
+    arr2 = sheet2['A10:D14'].load()
+
+    @suppress
+    arr2 = arr[[0, 1], ['M', 'F'], [2007, 2008]]
+
+    arr2
+
+Read Ranges (experimental)
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Load an array (raw data) with no axis information from a range
+
+.. ipython:: python
+
+    @verbatim
+    arr3 = wb['Sheet1']['A1:B4']
+
+    @suppress
+    arr3 = LArray([[3*i, 3*i+1] for i in range(4)])
+
+    arr3
+
+in fact, this is not really an LArray ...
+
+.. ipython::
+
+    @verbatim
+    In [1]: type(arr3)
+    larray.io.excel.Range
+
+... but it can be used as such
+
+.. ipython:: python
+
+    arr3.sum(axis=0)
+
+... and it can be used for other stuff, like setting the formula instead
+of the value:
+
+.. ipython:: python
+   :verbatim:
+
+    arr3.formula = '=D10+1'
+
+In the future, we should also be able to set font name, size, style,
+etc.
+
+.. ipython:: python
+   :verbatim:
+
+    wb.close()
+
+Inspecting
+----------
+
+.. ipython:: python
+
+    # load population array
+    pop = load_example_data('demography').pop
+
+Get array summary : dimensions + description of axes
+
+.. ipython:: python
+
+    pop.info
+
+Get axes
+
+.. ipython:: python
+
+    time, geo, age, sex, nat = pop.axes
+
+Get array dimensions
+
+.. ipython:: python
+
+    pop.shape
+
+Get number of elements
+
+.. ipython:: python
+
+    pop.size
+
+Get size in memory
+
+.. ipython:: python
+
+    pop.nbytes
+
+Start viewer (graphical user interface) in read-only mode.
+This will open a new window and block execution of the rest
+of code until the windows is closed! Required PyQt installed.
+
+.. ipython::
+
+    @verbatim
+    In [1]: view(pop)
+
+Load array in an Excel sheet
+
+.. ipython::
+
+    @verbatim
+    In [1]: pop.to_excel()
+
+Selection (Subsets)
+-------------------
+
+LArray allows to select a subset of an array either by labels or positions
+
+Selection by Labels
+~~~~~~~~~~~~~~~~~~~
+
+To take a subset of an array using labels, use brackets [ ].
+Let's start by selecting a single element:
+
+.. ipython:: python
+
+    # here we select the value associated with Belgian women of age 50 from Brussels region for the year 2015
+    pop[2015, 'BruCap', 50, 'F', 'BE']
+
+Continue with selecting a subset using slices and lists of labels
+
+.. ipython:: python
+
+    # here we select the subset associated with Belgian women of age 50, 51 and 52 
+    # from Brussels region for the years 2010 to 2016
+    pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']
+
+.. ipython:: python
+
+    # slices bounds are optional: 
+    # if not given start is assumed to be the first label and stop is the last one.
+    # Here we select all years starting from 2010
+    pop[2010:, 'BruCap', 50:52, 'F', 'BE']
+
+.. ipython:: python
+
+    # Slices can also have a step (defaults to 1), to take every Nth labels
+    # Here we select all even years starting from 2010
+    pop[2010::2, 'BruCap', 50:52, 'F', 'BE']
+
+.. ipython:: python
+
+    # one can also use list of labels to take non-contiguous labels.
+    # Here we select years 2008, 2010, 2013 and 2015
+    pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']
+
+The order of indexing does not matter either, so you usually do not
+care/have to remember about axes positions during computation.
+It only matters for output.
+
+.. ipython:: python
+
+    # order of index doesn't matter
+    pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]
+
+.. warning::
+   Selecting by labels as above works well as long as there is no ambiguity.
+   When two or more axes have common labels, it may lead to a crash.
+   The solution is then to precise to which axis belong the labels.
+
+.. ipython:: python
+
+    # let us now create an array with the same labels on several axes
+    age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')
+
+    arr_ws = ndrange([age, weight, size])
+
+.. ipython::
+
+    # let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.
+    # In this case the subset is ambiguous and this results in an error:
+    @verbatim
+    In [1]: arr_ws[10:18, :80, 160:165]
+    <class 'ValueError'> slice(10, 18, None) is ambiguous (valid in age, weight, size)
+
+.. ipython:: python
+
+    # the solution is simple. You need to precise the axes on which you make a selection
+    arr_ws[age[10:18], weight[:80], size[160:165]]
+
+Special variable x
+~~~~~~~~~~~~~~~~~~
+
+When selecting, assiging or using aggregate functions, an axis can be
+refered via the special variable ``x``:
+
+-  pop[x.age[:20]]
+-  pop.sum(x.age)
+
+This gives you acces to axes of the array you are manipulating. The main
+drawback of using **x** is that you lose the autocompletion available from
+many editors. It only works with non-wildcard axes.
+
+.. ipython:: python
+
+    # the previous example could have been also written as  
+    arr_ws[x.age[10:18], x.weight[:80], x.size[160:165]]
+
+Selection by Positions
+~~~~~~~~~~~~~~~~~~~~~~
+
+Sometimes it is more practical to use positions along the axis, instead
+of labels. You need to add the character ``i`` before the brackets:
+``.i[positions]``. As for selection with labels, you can use single
+position or slice or list of positions. Positions can be also negative
+(-1 represent the last element of an axis).
+
+.. note::
+   Remember that positions (indices) are always **0-based** in Python.
+   So the first element is at position 0, the second is at position 1, etc.
+
+.. ipython:: python
+
+    # here we select the subset associated with Belgian women of age 50, 51 and 52 
+    # from Brussels region for the first 3 years
+    pop[x.time.i[:3], 'BruCap', 50:52, 'F', 'BE']
+
+.. ipython:: python
+
+    # same but for the last 3 years
+    pop[x.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']
+
+.. ipython:: python
+
+    # using list of positions
+    pop[x.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']
+
+.. warning::
+   The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.
+
+.. ipython:: python
+
+    # with labels (3 is included)
+    pop[2015, 'BruCap', x.age[:3], 'F', 'BE']
+
+.. ipython:: python
+
+    # with position (3 is out)
+    pop[2015, 'BruCap', x.age.i[:3], 'F', 'BE']
+
+You can use *.i[]* selection directly on array instead of axes. In this
+context, if you want to select a subset of the first and third axes for
+example, you must use a full slice ``:`` for the second one.
+
+.. ipython:: python
+
+    # here we select the last year and first 3 ages
+    # equivalent to: pop.i[-1, :, :3, :, :]
+    pop.i[-1, :, :3]
+
+Assigning subsets
+~~~~~~~~~~~~~~~~~
+
+Assigning value
+^^^^^^^^^^^^^^^
+
+Assign a value to a subset
+
+.. ipython:: python
+
+    # let's take a smaller array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    pop2 = pop
+    pop2
+
+.. ipython:: python
+
+    # set all data corresponding to age >= 102 to 0
+    pop2[102:] = 0
+    pop2
+
+One very important gotcha though...
+
+.. warning::
+   Modifying a slice of an array in-place like we did above should be done with
+   care otherwise you could have **unexpected effects**.
+   The reason is that taking a **slice** subset of an array does not return a copy
+   of that array, but rather a view on that array.
+   To avoid such behavior, use ``.copy()`` method.
+
+Remember:
+
+-  taking a slice subset of an array is extremely fast (no data is
+   copied)
+-  if one modifies that subset in-place, one also **modifies the
+   original array**
+-  **.copy()** returns a copy of the subset (takes speed and memory) but
+   allows you to change the subset without modifying the original array
+   in the same time
+
+.. ipython:: python
+
+    # indeed, data from the original array have also changed
+    pop
+
+.. ipython:: python
+
+    # the right way
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    
+    pop2 = pop.copy()
+    pop2[102:] = 0
+    pop2
+
+.. ipython:: python
+
+    # now, data from the original array have not changed this time
+    pop
+
+Assigning Arrays & Broadcasting
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Instead of a value, we can also assign an array to a subset. In that
+case, that array can have less axes than the target but those which are
+present must be compatible with the subset being targeted.
+
+.. ipython:: python
+
+    sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')
+    new_value = LArray([[1, -1], [2, -2]],[sex, nat])
+    new_value
+
+.. ipython:: python
+
+    # this assigns 1, -1 to Belgian, Foreigner men 
+    # and 2, -2 to Belgian, Foreigner women for all 
+    # people older than 100
+    pop[102:] = new_value
+    pop
+
+.. warning::
+   The array being assigned must have compatible axes with the target subset.
+
+.. ipython:: python
+
+    # assume we define the following array with shape 3 x 2 x 2
+    new_value = zeros(['age=0..2', sex, nat]) 
+    new_value
+
+.. ipython::
+
+    # now let's try to assign the previous array in a subset with shape 7 x 2 x 2
+    @verbatim
+    In [1]: pop[102:] = new_value
+    <class 'ValueError'> could not broadcast input array from shape (3,2,2) into shape (4,2,2)
+
+.. ipython:: python
+
+    # but this works
+    pop[102:104] = new_value
+    pop
+
+Boolean filtering
+~~~~~~~~~~~~~~~~~
+
+Boolean filtering can be use to extract subsets.
+
+.. ipython:: python
+
+    #Let's focus on population living in Brussels during the year 2016
+    pop = load_example_data('demography').pop[2016, 'BruCap']
+    
+    # here we select all males and females with age less than 5 and 10 respectively
+    subset = pop[((x.sex == 'H') & (x.age <= 5)) | ((x.sex == 'F') & (x.age <= 10))]
+    subset
+
+.. note::
+   Be aware that after boolean filtering, several axes may have merged.
+
+.. ipython:: python
+
+    # 'age' and 'sex' axes have been merged together
+    subset.info
+
+This may be not what you because previous selections on merged axes are
+no longer valid
+
+.. ipython::
+
+    # now let's try to calculate the proportion of females with age less than 10
+    @verbatim
+    In [1]: subset['F'].sum() / pop['F'].sum()
+    <class 'ValueError'> F is not a valid label for any axis
+
+Therefore, it is sometimes more useful to not select, but rather set to 0
+(or another value) non matching elements
+
+.. ipython:: python
+
+    subset = pop.copy()
+    subset[((x.sex == 'F') & (x.age > 10))] = 0
+    subset['F', :20]
+
+.. ipython:: python
+
+    # now we can calculate the proportion of females with age less than 10
+    subset['F'].sum() / pop['F'].sum()
+
+Boolean filtering can also mix axes and arrays. Example above could also
+have been written as
+
+.. ipython:: python
+
+    age_limit = sequence('sex=M,F', initial=5, inc=5)
+    age_limit
+
+.. ipython:: python
+
+    age = pop.axes['age']
+    (age <= age_limit)[:20]
+
+.. ipython:: python
+
+    subset = pop.copy()
+    subset[x.age > age_limit] = 0
+    subset['F'].sum() / pop['F'].sum()
+
+Finally, you can choose to filter on data instead of axes
+
+.. ipython:: python
+
+    # let's focus on females older than 90
+    subset = pop['F', 90:110].copy()
+    subset
+
+.. ipython:: python
+
+    # here we set to 0 all data < 10
+    subset[subset < 10] = 0
+    subset
+
+Manipulates axes from arrays
+----------------------------
+
+.. ipython:: python
+
+    # let's start with
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
+    pop
+
+Relabeling
+~~~~~~~~~~
+
+Replace all labels of one axis
+
+.. ipython:: python
+
+    # returns a copy by default
+    pop_new_labels = pop.set_labels(x.sex, ['Men', 'Women'])
+    pop_new_labels
+
+.. ipython:: python
+
+    # inplace flag avoids to create a copy
+    pop.set_labels(x.sex, ['M', 'F'], inplace=True)
+
+Renaming axes
+~~~~~~~~~~~~~
+
+Rename one axis
+
+.. ipython:: python
+
+    pop.info
+
+.. ipython:: python
+
+    # 'rename' returns a copy of the array
+    pop2 = pop.rename(x.sex, 'gender')
+    pop2
+
+Rename several axes at once
+
+.. ipython:: python
+
+    # No x. here because sex and nat are keywords and not actual axes
+    pop2 = pop.rename(sex='gender', nat='nationality')
+    pop2
+
+Reordering axes
+~~~~~~~~~~~~~~~
+
+Axes can be reordered using :py:meth:`~LArray.transpose` method. By default, *transpose*
+reverse axes, otherwise it permutes the axes according to the list given as argument.
+Axes not mentioned come after those which are mentioned(and keep their relative order).
+Finally, *transpose* returns a copy of the array.
+
+.. ipython:: python
+
+    # starting order : age, sex, nat
+    pop
+
+.. ipython:: python
+
+    # no argument --> reverse axes
+    pop.transpose()
+    
+    # .T is a shortcut for .transpose()
+    pop.T
+
+.. ipython:: python
+
+    # reorder according to list
+    pop.transpose(x.age, x.nat, x.sex)
+
+.. ipython:: python
+
+    # axes not mentioned come after those which are mentioned (and keep their relative order)
+    pop.transpose(x.sex)
+
+Aggregates
+----------
+
+Calculate the sum along an axis
+
+.. ipython:: python
+
+    pop = load_example_data('demography').pop[2016, 'BruCap']
+    pop.sum(x.age)
+
+or along all axes except one by appending *_by* to the aggregation function
+
+.. ipython:: python
+
+    pop[90:95].sum_by(x.age)
+    # is equivalent to 
+    pop[90:95].sum(x.sex, x.nat)
+
+There are many other :ref:`aggregate functions built-in <la_agg>`:
+
+-  mean, min, max, median, percentile, var (variance), std (standard
+   deviation)
+-  argmin, argmax (label indirect minimum/maxium -- labels where the
+   value is minimum/maximum)
+-  posargmin, posargmax (positional indirect minimum/maxium -- position
+   along axis where the value is minimum/maximum)
+-  cumsum, cumprod (cumulative sum, cumulative product)
+
+Groups
+------
+
+One can define groups of labels (or indices)
+
+.. ipython:: python
+
+    age = pop.axes['age']
+    
+    # using indices (remember: 20 will not be included)
+    teens = age.i[10:20]
+    # using labels
+    pensioners = age[67:]
+    strange = age[[30, 55, 52, 25, 99]]
+    
+    strange
+
+or rename them
+
+.. ipython:: python
+
+    # method 'named' returns a new group with the given name
+    teens = teens.named('children')
+    
+    # operator >> is a shortcut for 'named'
+    pensioners = pensioners >> 'pensioners'
+    
+    pensioners
+
+Then, use them in selections
+
+.. ipython:: python
+
+    pop[strange]
+
+or aggregations
+
+.. ipython:: python
+
+    pop.sum(pensioners)
+
+.. ipython:: python
+
+    # several groups (here you see the interest of groups renaming)
+    pop.sum((teens, pensioners, strange))
+
+.. ipython:: python
+
+    # combined with other axes
+    pop.sum((teens, pensioners, strange), x.nat)
+
+Arithmetic operations
+---------------------
+
+.. ipython:: python
+
+    # go back to our 6 x 2 x 2 example array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
+    pop
+
+Usual Operations
+~~~~~~~~~~~~~~~~
+
+One can do all usual arithmetic operations on an array, it will apply
+the operation to all elements individually
+
+.. ipython:: python
+
+    # addition
+    pop + 200
+
+.. ipython:: python
+
+    # multiplication
+    pop * 2
+
+.. ipython:: python
+
+    # ** means raising to the power (squaring in this case)
+    pop ** 2
+
+.. ipython:: python
+
+    # % means modulo (aka remainder of division)
+    pop % 10
+
+More interestingly, it also works between two arrays
+
+.. ipython:: python
+
+    # load mortality equivalent array
+    mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] 
+    
+    # compute number of deaths
+    death = pop * mortality
+    death
+
+.. note::
+   Be careful when mixing different data types.
+   See **type promotion** in programming.
+   You can use the method :py:meth:`~LArray.astype` to change the data type of an array.
+
+.. ipython:: python
+
+    # to be sure to get number of deaths as integers
+    # one can use .astype() method
+    death = (pop * mortality).astype(int)
+    death
+
+But operations between two arrays only works when they have compatible axes (i.e. same labels)
+
+.. ipython::
+
+    @verbatim
+    In [1]: pop[90:92] * mortality[93:95]
+    <class 'ValueError'> incompatible axes:
+    Axis([93, 94, 95], 'age')
+    vs
+    Axis([90, 91, 92], 'age')
+
+You can override that but at your own risk. In that case only the
+position on the axis is used and not the labels.
+
+.. ipython:: python
+
+    pop[90:92] * mortality[93:95].drop_labels(x.age)
+
+Boolean Operations
+~~~~~~~~~~~~~~~~~~
+
+.. ipython:: python
+
+    pop2 = pop.copy()
+    pop2['F'] = -pop2['F']
+    pop2
+
+.. ipython:: python
+
+    # testing for equality is done using == (a single = assigns the value)
+    pop == pop2
+
+.. ipython:: python
+
+    # testing for inequality
+    pop != pop2
+
+.. ipython:: python
+
+    # what was our original array like again?
+    pop
+
+.. ipython:: python
+
+    # & means (boolean array) and
+    (pop >= 500) & (pop <= 1000)
+
+.. ipython:: python
+
+    # | means (boolean array) or
+    (pop < 500) | (pop > 1000)
+
+Arithmetic operations with missing axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. ipython:: python
+
+    pop.sum(x.age)
+
+.. ipython:: python
+
+    # arr has 3 dimensions
+    pop.info
+
+.. ipython:: python
+
+    # and arr.sum(age) has two
+    pop.sum(x.age).info
+
+.. ipython:: python
+
+    # you can do operation with missing axes so this works
+    pop / pop.sum(x.age)
+
+Axis order does not matter much (except for output)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can do operations between arrays having different axes order.
+The axis order of the result is the same as the left array
+
+.. ipython:: python
+
+    pop
+
+.. ipython:: python
+
+    # let us change the order of axes
+    pop_transposed = pop.T
+    pop_transposed
+
+.. ipython:: python
+
+    # mind blowing
+    pop_transposed + pop
+
+Combining arrays
+----------------
+
+Append/Prepend
+~~~~~~~~~~~~~~
+
+Append/prepend one element to an axis of an array
+
+.. ipython:: python
+
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] 
+    
+    # imagine that you have now acces to the number of non-EU foreigners
+    data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]
+    pop_non_eu = LArray(data, pop['FO'].axes)
+    
+    # you can do something like this
+    pop = pop.append(nat, pop_non_eu, 'NEU')
+    pop
+
+.. ipython:: python
+
+    # you can also add something at the start of an axis
+    pop = pop.prepend(x.sex, pop.sum(x.sex), 'B')
+    pop
+
+The value being appended/prepended can have missing (or even extra) axes
+as long as common axes are compatible
+
+.. ipython:: python
+
+    aliens = zeros(pop.axes['sex'])
+    aliens
+
+.. ipython:: python
+
+    pop = pop.append(x.nat, aliens, 'AL')
+    pop
+
+Extend
+~~~~~~
+
+Extend an array along an axis with another array *with* that axis (but other labels)
+
+.. ipython:: python
+
+    _pop = load_example_data('demography').pop
+    pop = _pop[2016, 'BruCap', 90:95] 
+    pop_next = _pop[2016, 'BruCap', 96:100]
+    
+    # concatenate along age axis
+    pop.extend(x.age, pop_next)
+
+Stack
+~~~~~
+
+Stack several arrays together to create an entirely new dimension
+
+.. ipython:: python
+
+    # imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)
+    pop_be, pop_fo = pop['BE'], pop['FO']
+    
+    # first way to stack them
+    nat = Axis('nat=BE,FO,NEU')
+    pop = stack([pop_be, pop_fo, pop_non_eu], nat)
+    
+    # second way
+    pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')
+    
+    pop
+
+Sorting
+-------
+
+Sort an axis (alphabetically if labels are strings)
+
+.. ipython:: python
+
+    pop_sorted = pop.sort_axis(x.nat)
+    pop_sorted
+
+Give labels which would sort the axis
+
+.. ipython:: python
+
+    pop_sorted.argsort(x.sex)
+
+Sort according to values
+
+.. ipython:: python
+
+    pop_sorted.sort_values((90, 'F'))
+
+Plotting
+--------
+
+Create a plot (last axis define the different curves to draw)
+
+.. ipython:: python
+
+    @savefig plot_tutorial_0.png height=10in
+    pop.plot()
+
+.. ipython:: python
+
+    # plot total of both sex
+    @savefig plot_tutorial_1.png height=10in
+    pop.sum(x.sex).plot()
+
+Interesting methods
+-------------------
+
+.. ipython:: python
+
+    # starting array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    pop
+
+with total
+~~~~~~~~~~
+
+Add totals to one axis
+
+.. ipython:: python
+
+    pop.with_total(x.sex, label='B')
+
+Add totals to all axes at once
+
+.. ipython:: python
+
+    # by default label is 'total'
+    pop.with_total()
+
+where
+~~~~~
+
+where can be used to apply some computation depending on a condition
+
+.. ipython:: python
+
+    # where(condition, value if true, value if false)
+    where(pop < 10, 0, -pop)
+
+clip
+~~~~
+
+Set all data between a certain range
+
+.. ipython:: python
+
+    # clip(min, max)
+    # values below 10 are set to 10 and values above 50 are set to 50
+    pop.clip(10, 50)
+
+divnot0
+~~~~~~~
+
+Replace division by 0 to 0
+
+.. ipython:: python
+
+    pop['BE'] / pop['FO']
+
+.. ipython:: python
+
+    # divnot0 replaces results of division by 0 by 0. 
+    # Using it should be done with care though
+    # because it can hide a real error in your data.
+    pop['BE'].divnot0(pop['FO'])
+
+diff
+~~~~
+
+:py:meth:`~LArray.diff` calculates the n-th order discrete difference along given axis.
+The first order difference is given by out[n+1] = in[n + 1] - in[n]
+along the given axis.
+
+.. ipython:: python
+
+    pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]
+    pop
+
+.. ipython:: python
+
+    # calculates 'pop[year+1] - pop[year]'
+    pop.diff(x.time)
+
+.. ipython:: python
+
+    # calculates 'pop[year+2] - pop[year]'
+    pop.diff(x.time, d=2)
+
+ratio
+~~~~~
+
+.. ipython:: python
+
+    pop.ratio(x.nat)
+    
+    # which is equivalent to
+    pop / pop.sum(x.nat)
+
+percents
+~~~~~~~~
+
+.. ipython:: python
+
+    # or, if you want the previous ratios in percents
+    pop.percent(x.nat)
+
+growth\_rate
+~~~~~~~~~~~~
+
+using the same principle than diff...
+
+.. ipython:: python
+
+    pop.growth_rate(x.time)
+
+shift
+~~~~~
+
+The :py:meth:`~LArray.shift` method drops first label of an axis and shifts all
+subsequent labels
+
+.. ipython:: python
+
+    pop.shift(x.time)
+
+.. ipython:: python
+
+    # when shift is applied on an (increasing) time axis, it effectively brings "past" data into the future
+    pop.shift(x.time).drop_labels(x.time) == pop[2005:2014].drop_labels(x.time)
+
+.. ipython:: python
+
+    # this is mostly useful when you want to do operations between the past and now
+    # as an example, here is an alternative implementation of the .diff method seen above:
+    pop.i[1:] - pop.shift(x.time)
+
+Misc other interesting functions
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+There are a lot more :ref:`functions <la_misc>` available:
+
+- round, floor, ceil, trunc,
+- exp, log, log10,
+- sqrt, absolute, nan_to_num, isnan, isinf, inverse,
+- sin, cos, tan, arcsin, arccos, arctan
+- and many many more...
+
+Sessions
+--------
+
+You can group several arrays in a :py:class:`Session`
+
+.. ipython:: python
+
+    # load several arrays
+    arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))
+    
+    # create and populate a 'session'
+    s1 = Session()
+    s1.arr1 = arr1
+    s1.arr2 = arr2
+    s1.arr3 = arr3
+    
+    s1
+
+The advantage of sessions is that you can manipulate all of the arrays in them in one shot
+
+.. ipython:: python
+
+    # this saves all the arrays in a single excel file (each array on a different sheet)
+    @verbatim
+    s1.save('test.xlsx')
+
+.. ipython:: python
+
+    # this saves all the arrays in a single HDF5 file (which is a very fast format)
+    s1.save('test.h5')
+
+.. ipython:: python
+
+    # this creates a session out of all arrays in the .h5 file
+    s2 = Session('test.h5')
+    s2
+
+.. ipython:: python
+
+    # this creates a session out of all arrays in the .xlsx file
+    @verbatim
+    s3 = Session('test.xlsx')
+
+    @suppress
+    s3 = Session('test.h5')
+
+    s3
+
+You can compare two sessions
+
+.. ipython:: python
+
+    s1 == s2
+
+.. ipython:: python
+
+    # let us introduce a difference (a variant, or a mistake perhaps)
+    s2.arr1['a0', 'b1':] = 0
+
+.. ipython:: python
+
+    s1 == s2
+
+.. ipython:: python
+
+    s1_diff = s1[s1 != s2]
+    s1_diff
+
+.. ipython:: python
+
+    s2_diff = s2[s1 != s2]
+    s2_diff
+
+This a bit experimental but can be useful nonetheless (Open a graphical interface)
+
+.. ipython::
+
+    @verbatim
+    In [1]: compare(s1_diff.arr1, s2_diff.arr1)

From 40d42378af69775b70c7c284f133abe3b33600b6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Jul 2017 15:18:20 +0200
Subject: [PATCH 664/899] (documentation): 1) added pytables and matplotlib in
 /doc/environment.yml    (matplotlib is required to use the ipython directive)
 2) removed pyqt and qtpy from doc/environment.yml

---
 doc/environment.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index acd19c017..53ac79823 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -6,11 +6,11 @@ dependencies:
   - python=3.5
   - numpy
   - pandas
+  - matplotlib
+  - pytables
   - jupyter
   - jupyter_client
   - sphinx
   - numpydoc
   - nbsphinx
   - pandoc
-  - pyqt
-  - qtpy

From 0314a6f0139e8dc0a196498d905cf1ec89d8527c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 22 Jun 2017 16:09:47 +0200
Subject: [PATCH 665/899] (documentation) updated change.rst

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 01b6a2e74..14a9f51d6 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -2,7 +2,7 @@
 ##########
 
 Version 0.24.1
-============
+==============
 
 Released on 2017-06-14.
 

From f6ed6b2241f606087e4044ff58671ab540326cbd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 22 Jun 2017 10:46:46 +0200
Subject: [PATCH 666/899] (documentation) updated README.rst, index.rst,
 install.rst and intro.rst and added items in doc/source/_static/

(documentation) modified and moved section Update from README.rst to
install.rst
---
 README.rst                          |  67 +++++---
 doc/source/_static/editor.png       | Bin 0 -> 14885 bytes
 doc/source/_static/larray-logo.png  | Bin 0 -> 8823 bytes
 doc/source/_static/larray-logo.svg  | 237 ++++++++++++++++++++++++++++
 doc/source/_static/menu_windows.png | Bin 0 -> 39211 bytes
 doc/source/index.rst                |  18 ++-
 doc/source/install.rst              |  25 ++-
 doc/source/intro.rst                |   8 +-
 8 files changed, 327 insertions(+), 28 deletions(-)
 create mode 100644 doc/source/_static/editor.png
 create mode 100644 doc/source/_static/larray-logo.png
 create mode 100644 doc/source/_static/larray-logo.svg
 create mode 100644 doc/source/_static/menu_windows.png

diff --git a/README.rst b/README.rst
index 56677a6e2..f6a1e555a 100644
--- a/README.rst
+++ b/README.rst
@@ -1,12 +1,28 @@
-LArray
-======
-
-larray provides a Labelled Array class
+LArray: N-dimensional labelled arrays
+=====================================
 
 |build-status| |docs|
 
+.. _start-intro:
+
+LArray is open source Python library that aims to provide tools for easy exploration and manipulation of
+N-dimensional labelled data structures.
+
+Library Highlights
+------------------
+
+* N-dimensional labelled array objects to store and manipulate multi-dimensional data
+
+* I/O functions for reading and writing arrays in different formats:
+  CSV, Microsoft Excel, HDF5, pickle
 
-.. start-install
+* Arrays can be grouped into Session objects and loaded/dumped at once
+
+* User interface with an IPython console for rapid exploration of data
+
+* Compatible with the pandas library: LArray objects can be converted into pandas DataFrame and vice versa.
+
+.. _start-install:
 
 Installation
 ============
@@ -83,19 +99,24 @@ For IO (HDF, Excel)
   provides functions to easily download EUROSTAT files as larray objects.
   Currently limited to TSV files.
 
+.. _start-dependencies-gui:
+
 For Graphical User Interface
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-LArray includes a graphical user interface to
-view and edit arrays.
+LArray includes a graphical user interface to view, edit and compare arrays.
 
 - `pyqt <https://riverbankcomputing.com/software/pyqt/intro>`__ (4 or 5):
-  for using the graphical user interface included in larray.
+  required by `larray-editor` (see below).
 - `pyside <https://wiki.qt.io/PySide>`__:
   alternative to PyQt.
 - `qtpy <https://github.com/spyder-ide/qtpy>`__:
-  required if you install pyqt or pyside.
-  Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout
+  required by `larray-editor`.
+  Provides support for PyQt5, PyQt4 and PySide using the PyQt5 layout.
+- `larray-editor <https://github.com/larray-project/larray-editor>`__:
+  required to use the graphical user interface associated with larray.
+  It assumes that `qtpy` and `pyqt` or `pyside` are installed.
+  On windows, creates also a menu ``LArray`` in the Windows Start Menu.
 
 For plotting
 ~~~~~~~~~~~~
@@ -103,30 +124,32 @@ For plotting
 - `matplotlib <http://matplotlib.org/>`__:
   required for plotting.
 
+.. _start-documentation:
 
-Update
-------
+Documentation
+=============
 
-If larray has been installed through conda, update
-is done via ::
+The official documentation is hosted on ReadTheDocs at http://larray.readthedocs.io/en/stable/
 
-    conda update larray
+.. _start-get-in-touch:
 
-Be careful if you have installed optional dependencies.
-In that case, you may have to update some of them.
+Get in touch
+============
 
-If larray has been installed through larrayenv,
-you simply must do ::
+- Report bugs, suggest features or view the source code `on GitHub`_.
+- For questions, ideas or general discussion, use the `mailing list`_.
 
-    conda update larrayenv
+.. _on GitHub: http://github.com/liam2/larray
+.. _mailing list: https://groups.google.com/forum/#!forum/larray
 
+.. end-readme-file
 
 .. |build-status| image:: https://travis-ci.org/liam2/larray.svg?branch=master
     :alt: build status
     :scale: 100%
     :target: https://travis-ci.org/liam2/larray
 
-.. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=latest
+.. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=stable
     :alt: Documentation Status
     :scale: 100%
-    :target: https://larray.readthedocs.io/en/latest/?badge=latest
+    :target: https://larray.readthedocs.io/en/latest/?badge=stable
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diff --git a/doc/source/index.rst b/doc/source/index.rst
index b78bdd9d2..8bd4602c0 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -1,5 +1,19 @@
-Welcome to LArray's documentation!
-==================================
+.. image:: _static/larray-logo.png
+    :align: center
+
+|
+
+N-dimensional labelled arrays
+=============================
+
+.. include:: intro.rst
+
+Documentation
+=============
+
+For answer you don't find in the documentation, use the `mailing list`_.
+
+.. _mailing list: https://groups.google.com/forum/#!forum/larray
 
 Contents:
 
diff --git a/doc/source/install.rst b/doc/source/install.rst
index fb67d459f..9dafc4837 100644
--- a/doc/source/install.rst
+++ b/doc/source/install.rst
@@ -1,2 +1,25 @@
 .. include:: ../../README.rst
-   :start-after: start-install
+   :start-after: start-install:
+   :end-before: start-documentation:
+
+.. _start-update:
+
+Update
+------
+
+If larray has been installed using conda, update is done via ::
+
+    conda update larray
+
+Be careful if you have installed optional dependencies.
+In that case, you may have to update some of them.
+
+If larray has been installed using conda via larrayenv, you simply must do ::
+
+    conda update larrayenv
+
+For Windows users who have larrayenv (>= 0.25) installed, simply click on the
+``Update LArray`` link in the the Windows Start Menu > LArray.
+
+.. image:: _static/menu_windows.png
+    :align: center
diff --git a/doc/source/intro.rst b/doc/source/intro.rst
index 769d948d4..21ffc6cc1 100644
--- a/doc/source/intro.rst
+++ b/doc/source/intro.rst
@@ -1,4 +1,6 @@
-Introduction
-============
+.. include:: ../../README.rst
+   :start-after: start-intro:
+   :end-before: start-install:
 
-LArray provides a labeled array class.
\ No newline at end of file
+.. image:: _static/editor.png
+    :align: center

From e310654dd1e4a332ed4b55e53149b03924a619e7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 22 Jun 2017 15:55:43 +0200
Subject: [PATCH 667/899] (documentation) added 'Getting Started' section

---
 doc/source/_static/compare.png       | Bin 0 -> 11287 bytes
 doc/source/_static/editor_new.png    | Bin 0 -> 9155 bytes
 doc/source/_static/menu_windows.png  | Bin 39211 -> 32202 bytes
 doc/source/api.rst                   |  21 +-
 doc/source/conf.py                   |   4 +-
 doc/source/getting_started.rst       | 370 +++++++++++++++++++++++++++
 doc/source/index.rst                 |   3 +-
 doc/source/tutorial/LArray_intro.rst |   2 +
 8 files changed, 396 insertions(+), 4 deletions(-)
 create mode 100644 doc/source/_static/compare.png
 create mode 100644 doc/source/_static/editor_new.png
 create mode 100644 doc/source/getting_started.rst

diff --git a/doc/source/_static/compare.png b/doc/source/_static/compare.png
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diff --git a/doc/source/api.rst b/doc/source/api.rst
index a8cf5deb6..8405320b6 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -1,3 +1,5 @@
+.. _start_api:
+
 #############
 API Reference
 #############
@@ -5,6 +7,8 @@ API Reference
 .. see larray/__init__.py
 .. currentmodule:: larray
 
+.. _api-axis:
+
 Axis
 ====
 
@@ -69,6 +73,8 @@ Testing
    Axis.iscompatible
    Axis.equals
 
+.. _api-group:
+
 Group
 =====
 
@@ -110,6 +116,8 @@ LGroup
    LGroup.intersection
    LGroup.difference
 
+.. _api-set:
+
 LSet
 ====
 
@@ -118,6 +126,8 @@ LSet
 
    LSet
 
+.. _api-axiscollection:
+
 AxisCollection
 ==============
 
@@ -176,6 +186,8 @@ Testing
    AxisCollection.isaxis
    AxisCollection.check_compatible
 
+.. _api-larray:
+
 LArray
 ======
 
@@ -431,6 +443,8 @@ Plotting
 
    LArray.plot
 
+.. _api-IO:
+
 Input/Output
 ============
 
@@ -465,6 +479,8 @@ Excel
 
    open_excel
 
+.. _api-misc:
+
 Miscellaneous
 =============
 
@@ -483,6 +499,8 @@ Miscellaneous
    load_example_data
    local_arrays
 
+.. _api-session:
+
 Session
 =======
 
@@ -550,8 +568,9 @@ Load/Save
    Session.to_hdf
    Session.to_pickle
 
+.. _api-editor:
 
-Viewer
+Editor
 ======
 
 .. autosummary::
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 8f4adcdb0..978adb067 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -43,8 +43,8 @@
     'numpydoc',
     'nbsphinx',
     'sphinx.ext.mathjax',
-    'IPython.sphinxext.ipython_console_highlighting',
-    'IPython.sphinxext.ipython_directive'
+    'IPython.sphinxext.ipython_directive',
+    'IPython.sphinxext.ipython_console_highlighting'
 ]
 
 extlinks = {'issue': ('https://github.com/liam2/larray/issues/%s',
diff --git a/doc/source/getting_started.rst b/doc/source/getting_started.rst
new file mode 100644
index 000000000..e14edfc53
--- /dev/null
+++ b/doc/source/getting_started.rst
@@ -0,0 +1,370 @@
+.. currentmodule:: larray
+
+Getting Started
+===============
+
+To use the LArray library, the first thing to do is to import it
+
+.. ipython:: python
+
+    from larray import *
+
+Create an array
+---------------
+
+Working with the LArray library mainly consists of manipulating :ref:`LArray <api-larray>` data structures.
+They represent N-dimensional labelled arrays and are composed of data (numpy ndarray), :ref:`axes <api-axis>`
+and optionally a title. An axis contains a list of labels and may have a name (if not given, the axis is anonymous).
+
+You can create an array from scratch by supplying data, axes and optionally a title:
+
+.. ipython:: python
+
+    # define data
+    data = [[20, 22],
+            [33, 31],
+            [79, 81],
+            [28, 34]]
+
+    # define axes
+    age_category = Axis(["0-9", "10-17", "18-66", "67+"], "age_category")
+    sex = Axis(["M", "F"], "sex")
+
+    # create LArray object
+    arr = LArray(data, [age_category, sex], "population by age category and sex")
+    arr
+
+.. note::
+
+   LArray offers two syntaxes to build axes and make selections and aggregations.
+   The first one is more Pythonic (uses Python structures) and allows to use any
+   character in labels. The second one consists of using strings that are parsed.
+   It is shorter to type. For example, you could create the *age_category* axis
+   above as follows::
+
+       age_category = Axis("age_category=0-9,10-17,18-66,67+")
+
+   The drawback of the string syntax is that some characters such as `, ; = : .. [ ] >>`
+   have a special meaning and cannot be used in labels.
+   Strings containing only integers are interpreted as such.
+
+   In this getting started section we will use the first, more verbose, syntax which
+   works in all cases and provide the equivalent using the shorter syntax in comments.
+   More examples can be found in the :ref:`tutorial <start_tutorial>` and the
+   :ref:`API reference <start_api>` section.
+
+Here are the key properties for an array:
+
+.. ipython:: python
+
+    # array summary : dimensions + description of axes
+    arr.info
+
+    # number of dimensions
+    arr.ndim
+
+    # array dimensions
+    arr.shape
+
+    # number of elements
+    arr.size
+
+    # size in memory
+    arr.memory_used
+
+    # type of the data of the array
+    arr.dtype
+
+Arrays can be generated through dedicated functions:
+
+* :py:func:`zeros` : fills an array with 0
+* :py:func:`ones` : fills an array with 1
+* :py:func:`full` : fills an array with a given
+* :py:func:`eye` : identity matrix
+* :py:func:`ndrange` : fills an array with increasing numbers (mostly for testing)
+* :py:func:`ndtest` : same as ndrange but with axes generated automatically (for testing)
+* :py:func:`sequence` : creates an array by sequentially applying modifications to the array along axis.
+
+.. ipython:: python
+
+   zeros([age_category, sex])
+
+   ndtest((3, 3))
+
+Save/Load an array
+------------------
+
+The LArray library offers many I/O functions to read and write arrays in various formats
+(CSV, Excel, HDF5, pickle). For example, to save an array in a CSV file, call the method
+:py:meth:`~LArray.to_csv`:
+
+.. ipython:: python
+
+    arr_3D = ndtest((2, 2, 2))
+    arr_3D
+
+    arr_3D.to_csv('arr_3D.csv')
+
+Content of 'arr_3D.csv' file is ::
+
+  a,b\c,c0,c1
+  a0,b0,0,1
+  a0,b1,2,3
+  a1,b0,4,5
+  a1,b1,6,7
+
+.. note::
+   In CSV or Excel files, the last dimension is horizontal and the names of the
+   two last dimensions are separated by a \\.
+
+To load a saved array, call the function :py:meth:`read_csv`:
+
+.. ipython:: python
+
+    arr_3D = read_csv('arr_3D.csv')
+    arr_3D
+
+Other input/output functions are described in the :ref:`corresponding section <api-IO>`
+of the API documentation.
+
+Indexing
+--------
+
+To select an element or a subset of an array, use brackets [ ].
+Let’s start by selecting a single element:
+
+.. ipython:: python
+
+    arr = ndtest((4, 4))
+    arr
+
+    arr['a0', 'b1']
+
+    # labels can be given in arbitrary order
+    arr['b1', 'a0']
+
+Let's continue with subsets:
+
+.. ipython:: python
+
+    # select subset along one axis
+    arr['a0']
+
+    arr['b0']
+
+    # labels associated with the same axis must be given as a list
+    # equivalent to: arr['a0', 'b1,b3']
+    arr['a0', ['b1', 'b3']]
+
+.. warning::
+
+    Selecting by labels as above only works as long as there is no ambiguity.
+    When several axes have common labels and you do not specify explicitly
+    on which axis to work, it fails with an error
+    (ValueError: ... is ambiguous (valid in a, b)).
+    Specifying the axis can be done using the special notation ``x.axis_name``.
+    The axis name must not contain whitespaces and special characters.
+
+.. ipython:: python
+
+    # equivalent to: arr2 = ndrange("a=label0,label1;b=label1,label2")
+    arr2 = ndrange([Axis(["label0", "label1"], "a"), Axis(["label1", "label2"], "b")])
+    arr2
+
+    # equivalent to: arr2["label0", "b[label1]"]
+    arr2["label0", x.b["label1"]]
+
+You can also define slices (defined by 'start:stop' or 'start:stop:step').
+A slice will select all labels between `start` and `stop` (stop included).
+All arguments of a slice are optional.
+When not given, start is the first label of an axis, stop the last one.
+
+.. ipython:: python
+
+    # "b1":"b3" is a shortcut for ["b1", "b2", "b3"]
+    # equivalent to: arr["a0,a2", "b1:b3"]
+    arr[["a0", "a2"], "b1":"b3"]
+
+    # :"a2" will select all labels between the first one and "a2"
+    # "b1": will select all labels between "b1" and the last one
+    # equivalent to: arr[":a2", "b1:"]
+    arr[:"a2", "b1":]
+
+Aggregation
+-----------
+
+The LArray library includes many aggregations methods.
+For example, to calculate the sum along an axis, write:
+
+.. ipython:: python
+
+    arr_3D
+
+    # equivalent to: arr_3D.sum("a")
+    arr_3D.sum(x.a)
+
+To aggregate along all axes except one, you simply have to append `_by`
+to the aggregation method you want to use:
+
+.. ipython:: python
+
+    # equivalent to: arr_3D.sum_by("a")
+    arr_3D.sum_by(x.a)
+
+See :ref:`here <la_agg>` to get the list of all available aggregation methods.
+
+Groups
+------
+
+A :ref:`Group <api-group>` represents a subset of labels or positions of an axis:
+
+.. ipython:: python
+
+    arr
+
+    even = x.a["a0", "a2"]
+    even
+
+    odd = x.a["a1", "a3"]
+    odd
+
+They can be used in selections:
+
+.. ipython:: python
+
+    arr[even]
+
+    arr[odd]
+
+or aggregations:
+
+.. ipython:: python
+
+    arr.sum((even, odd))
+
+In the case of aggregations, it is often useful to attach them a name
+using the ``>>`` operator:
+
+.. ipython:: python
+
+    # equivalent to: arr.sum("a0,a2 >> even; a1,a3 >> odd")
+    arr.sum((even >> "even", odd >> "odd"))
+
+Group arrays in Session
+-----------------------
+
+Arrays may be grouped in :ref:`Session <api-session>` objects.
+A session is an ordered dict-like container of LArray objects with special I/O methods.
+To create a session, you need to pass a list of pairs (array_name, array):
+
+.. ipython:: python
+
+    arr0 = ndtest((3, 3))
+    arr1 = ndtest((2, 4))
+    arr2 = ndtest((4, 2))
+
+    arrays = [("arr0", arr0), ("arr1", arr1), ("arr2", arr2)]
+    ses = Session(arrays)
+
+    # displays names of arrays contained in the session
+    ses.names
+    # get an array
+    ses["arr0"]
+    # add/modify an array
+    ses["arr3"] = ndtest((2, 2, 2))
+
+.. warning::
+
+    You can also pass a dictionary to the Session's constructor but since elements of a dict object are
+    not ordered by default, you may lose the order. If you are using python 3.6 or later, using keyword
+    arguments is a nice alternative which keeps ordering. For example, the session above can be defined
+    using: `ses = Session(arr0=arr0, arr1=arr1, arr2=arr2)`.
+
+One of the main interests of using sessions is to save and load many arrays at once:
+
+.. ipython:: python
+
+    ses.save("my_session.h5")
+    ses = Session("my_session.h5")
+
+Graphical User Interface
+------------------------
+
+The LArray project provides an optional package called :ref:`larray-editor <start-dependencies-gui>`
+allowing users to explore and edit arrays using a graphical interface.
+This package is automatically installed with **larrayenv**.
+
+To explore the content of arrays in read-only mode, import ``larray-editor`` and call :py:func:`view`
+
+.. ipython:: python
+    :verbatim:
+
+    from larray_editor import *
+
+    # shows the arrays of a given session in a graphical user interface
+    view(ses)
+
+    # the session may be directly loaded from a file
+    view("my_session.h5")
+
+    # creates a session with all existing arrays from the current namespace
+    # and shows its content
+    view()
+
+To open the user interface in edit mode, call :py:func:`edit` instead.
+
+.. image:: _static/editor.png
+    :align: center
+
+Once open, you can save and load any session using the `File` menu.
+
+Finally, you can also visually compare two arrays or sessions using the :py:func:`compare` function.
+
+.. ipython:: python
+   :verbatim:
+
+    arr0 = ndtest((3, 3))
+    arr1 = ndtest((3, 3))
+    arr1[["a1", "a2"]] = -arr1[["a1", "a2"]]
+    compare(arr0, arr1)
+
+.. image:: _static/compare.png
+    :align: center
+
+In case of two arrays, they must have compatible axes.
+
+For Windows Users
+^^^^^^^^^^^^^^^^^
+
+Installing the ``larray-editor`` package on Windows will create a ``LArray`` menu in the
+Windows Start Menu. This menu contains:
+
+  * a shortcut to open the documentation of the last stable version of the library
+  * a shortcut to open the graphical interface in edit mode.
+  * a shortcut to update `larrayenv`.
+
+.. image:: _static/menu_windows.png
+    :align: center
+
+.. image:: _static/editor_new.png
+    :align: center
+
+Once the graphical interface is open, all LArray objects and functions are directly accessible.
+No need to start by `from larray import *`.
+
+Compatibility with pandas
+-------------------------
+
+To convert a LArray object into a pandas DataFrame, the method :py:meth:`~LArray.to_frame` can be used:
+
+.. ipython:: python
+
+    df = arr.to_frame()
+    df
+
+Inversely, to convert a DataFrame into a LArray object, use the function :py:func:`aslarray`:
+
+.. ipython:: python
+
+    arr = aslarray(df)
+    arr
\ No newline at end of file
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 8bd4602c0..fb3fca628 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -11,7 +11,7 @@ N-dimensional labelled arrays
 Documentation
 =============
 
-For answer you don't find in the documentation, use the `mailing list`_.
+For answers you do not find in the documentation, use the `mailing list`_.
 
 .. _mailing list: https://groups.google.com/forum/#!forum/larray
 
@@ -21,6 +21,7 @@ Contents:
    :maxdepth: 2
 
    install
+   getting_started
    tutorial/LArray_intro.rst
    api
 
diff --git a/doc/source/tutorial/LArray_intro.rst b/doc/source/tutorial/LArray_intro.rst
index 827948c60..ebd14d789 100644
--- a/doc/source/tutorial/LArray_intro.rst
+++ b/doc/source/tutorial/LArray_intro.rst
@@ -1,5 +1,7 @@
 .. currentmodule:: larray
 
+.. _start_tutorial:
+
 Tutorial
 ========
 

From d260958bd7ce871fdbea098bc1d927495e77222e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 4 Jul 2017 14:24:53 +0200
Subject: [PATCH 668/899] updated changelog 0.25 --> added getting started.

---
 doc/source/changes/version_0_25.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 7b10254be..534557c79 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -13,6 +13,8 @@ Miscellaneous improvements
 
 * added icon to display in Windows start menu and editor windows.
 
+* added 'Getting Started' section in documentation.
+
 Fixes
 -----
 

From 9a478cde5f2cc939ca4f292d1ef9e960f19755ac Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 5 Jul 2017 09:39:49 +0200
Subject: [PATCH 669/899] removed python 3.4 from travis.yml

---
 .travis.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index 310eeb215..0d5c50adf 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -5,7 +5,6 @@ language: python
 
 python:
     - "2.7"
-    - "3.4"
     - "3.5"
     - "3.6"
 

From f851fae237adac611164d1b248fae13072e0ac63 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 5 Jul 2017 14:23:19 +0200
Subject: [PATCH 670/899] fixed arr['axis_name[ambiguouslabel]'] (fixes #331)
 (#334)

---
 doc/source/changes/version_0_25.rst.inc |  3 ++-
 larray/core/axis.py                     | 11 ++++++++---
 larray/tests/test_array.py              | 15 ++++++++++++---
 3 files changed, 22 insertions(+), 7 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 534557c79..1cb8fd392 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -18,4 +18,5 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* fixed disambiguating an ambiguous key by adding the axis within the string, for example
+  arr['axis_name[ambiguouslabel]'] (closes :issue:`331`).
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 4de5586f1..797495dc0 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -647,7 +647,8 @@ def translate(self, key, bool_passthrough=True):
         if isinstance(key, basestring):
             # try the key as-is to allow getting at ticks with special characters (",", ":", ...)
             try:
-                # avoid matching 0 against False or 0.0, note that Group keys have object dtype and so always pass this test
+                # avoid matching 0 against False or 0.0, note that Group keys have object dtype and so always pass this
+                # test
                 if self._is_key_type_compatible(key):
                     return mapping[key]
             # we must catch TypeError because key might not be hashable (eg slice)
@@ -663,6 +664,10 @@ def translate(self, key, bool_passthrough=True):
             return key.key
 
         if isinstance(key, LGroup):
+            # this can happen when key was passed as a string and converted to an LGroup via _to_key
+            if isinstance(key.axis, basestring) and key.axis != self.name:
+                raise KeyError(key)
+
             # at this point we do not care about the axis nor the name
             key = key.key
 
@@ -1214,6 +1219,7 @@ def get_by_pos(self, key, i):
     def __setitem__(self, key, value):
         if isinstance(key, slice):
             assert isinstance(value, (tuple, list, AxisCollection))
+
             def slice_bound(bound):
                 if bound is None or isinstance(bound, int):
                     # out of bounds integer bounds are allowed in slice setitem
@@ -1298,8 +1304,7 @@ def __eq__(self, other):
             return True
         if not isinstance(other, list):
             other = list(other)
-        return len(self._list) == len(other) and \
-               all(a.equals(b) for a, b in zip(self._list, other))
+        return len(self._list) == len(other) and all(a.equals(b) for a, b in zip(self._list, other))
 
     # for python2, we need to define it explicitly
     def __ne__(self, other):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index c1cc09ef2..6db5c3ff9 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -253,6 +253,11 @@ def test_getitem(self):
         # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
+        # ambiguous label
+        arr = ndrange("a=l0,l1;b=l1,l2")
+        res = arr[arr.b['l1']]
+        assert_array_equal(res, arr.data[:, 0])
+
         # key with duplicate axes
         with self.assertRaises(ValueError):
             la[age[1, 2], age[3, 4]]
@@ -370,9 +375,13 @@ def test_getitem_guess_axis(self):
             la[[1, 2], [999, 4]]
 
         # ambiguous key
-        a = ndrange((sex, sex.rename('sex2')))
-        with self.assertRaisesRegexp(ValueError, "F is ambiguous \(valid in sex, sex2\)"):
-            a['F']
+        arr = ndrange("a=l0,l1;b=l1,l2")
+        with self.assertRaisesRegexp(ValueError, "l1 is ambiguous \(valid in a, b\)"):
+            arr['l1']
+
+        # ambiguous key disambiguated via string
+        res = arr['b[l1]']
+        assert_array_equal(res, arr.data[:, 0])
 
     def test_getitem_positional_group(self):
         raw = self.array

From cc0a7fb946fe0595a123e0cfe8c0e1d2c6c7c1b9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 6 Jul 2017 10:52:09 +0200
Subject: [PATCH 671/899] added missing doc for sort_values(reverse)

---
 larray/core/array.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 920dfa7f4..bdb5056a1 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1479,8 +1479,9 @@ def sort_values(self, key, reverse=False):
         Parameters
         ----------
         key : scalar or tuple or Group
-            Key along which to sort.
-            Must have exactly one dimension less than ndim.
+            Key along which to sort. Must have exactly one dimension less than ndim.
+        reverse : bool, optional
+            Sort values in descending order. Defaults to False (ascending order).
 
         Returns
         -------

From 2d80904a025703cee9deb84205521cf03f073692 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 11 May 2017 09:39:41 +0200
Subject: [PATCH 672/899] implemented Axis, AxisCollection and
 LArray.align(other, join=)

AxisCollection.align supports anonymous axes, while LArray.align does not because reindex does not support anonymous axes
---
 doc/source/api.rst                      |   3 +
 doc/source/changes/version_0_25.rst.inc |  72 ++++++++++
 larray/core/array.py                    | 172 ++++++++++++++++++++++++
 larray/core/axis.py                     | 151 +++++++++++++++++++++
 4 files changed, 398 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 8405320b6..5e115e0fa 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -63,6 +63,7 @@ Modifying/Selecting/Searching
    Axis.union
    Axis.intersection
    Axis.difference
+   Axis.align
 
 Testing
 -------
@@ -176,6 +177,7 @@ Modifying/Selecting
    AxisCollection.without
    AxisCollection.combine_axes
    AxisCollection.split_axis
+   AxisCollection.align
 
 Testing
 -------
@@ -363,6 +365,7 @@ Reshaping/Extending/Reordering
    LArray.append
    LArray.extend
    LArray.broadcast_with
+   LArray.align
 
 .. _la_testing:
 
diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 1cb8fd392..3842900ad 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -5,6 +5,77 @@
   It contains a link to open the documentation, a shortcut to launch the user interface in edition mode
   and a shortcut to update larrayenv. Closes issue:`281`.
 
+* implemented array.align(other_array) which makes two arrays compatible with each other (by making all common axes
+  compatible). This is done by adding, removing or reordering labels for each common axis according to the join method
+  used:
+
+    - outer: will use a label if it is in either arrays axis (ordered like the first array). This is the default as it
+             results in no information loss.
+    - inner: will use a label if it is in both arrays axis (ordered like the first array)
+    - left: will use the first array axis labels
+    - right: will use the other array axis labels
+
+  The fill value for missing labels defaults to nan.
+
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> arr2 = -ndtest((3, 2))
+    >>> # reorder array to make the test more interesting
+    >>> arr2 = arr2[['b1', 'b0']]
+    >>> arr2
+    a\\b  b1  b0
+     a0  -1   0
+     a1  -3  -2
+     a2  -5  -4
+
+  Align arr1 and arr2
+
+    >>> aligned1, aligned2 = arr1.align(arr2)
+    >>> aligned1
+    a\b   b0   b1   b2
+     a0  0.0  1.0  2.0
+     a1  3.0  4.0  5.0
+     a2  nan  nan  nan
+    >>> aligned2
+    a\b    b0    b1   b2
+     a0   0.0  -1.0  nan
+     a1  -2.0  -3.0  nan
+     a2  -4.0  -5.0  nan
+
+  After aligning all common axes, one can then do operations between the two arrays
+
+    >>> aligned1 + aligned2
+    a\b   b0   b1   b2
+     a0  0.0  0.0  nan
+     a1  1.0  1.0  nan
+     a2  nan  nan  nan
+
+  The fill value for missing labels defaults to nan but can be changed to any compatible value.
+
+    >>> aligned1, aligned2 = arr1.align(arr2, fill_value=0)
+    >>> aligned1
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+     a2   0   0   0
+    >>> aligned2
+    a\b  b0  b1  b2
+     a0   0  -1   0
+     a1  -2  -3   0
+     a2  -4  -5   0
+    >>> aligned1 + aligned2
+    a\b  b0  b1  b2
+     a0   0   0   2
+     a1   1   1   5
+     a2  -4  -5   0
+
+* implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
+  compatible with each other, see LArray.align above.
+
+
 Miscellaneous improvements
 --------------------------
 
@@ -15,6 +86,7 @@ Miscellaneous improvements
 
 * added 'Getting Started' section in documentation.
 
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index bdb5056a1..1a2d1f00a 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1473,6 +1473,178 @@ def get_labels(self_axis):
         else:
             return res
 
+    def align(self, other, join='outer', fill_value=nan, axes=None):
+        """Align two arrays on their axes with the specified join method.
+
+        In other words, it ensure all common axes are compatible. Those arrays can then be used in binary operations.
+
+        Parameters
+        ----------
+        other : LArray-like
+        join : {'outer', 'inner', 'left', 'right'}, optional
+            Join method. For each axis common to both arrays:
+              - outer: will use a label if it is in either arrays axis (ordered like the first array).
+                       This is the default as it results in no information loss.
+              - inner: will use a label if it is in both arrays axis (ordered like the first array)
+              - left: will use the first array axis labels
+              - right: will use the other array axis labels.
+        fill_value : scalar or LArray, optional
+            Value to use for missing values. Defaults to NaN.
+        axes : AxisReference or sequence of them, optional
+            Axes to align. Need to be valid in both arrays. Defaults to None (all common axes). This must be specified
+            when mixing anonymous and non-anonymous axes.
+
+        Returns
+        -------
+        (left, right) : (LArray, LArray)
+            Aligned objects
+
+        Note
+        ----
+            Arrays with anonymous axes are currently not supported.
+
+        Examples
+        --------
+        >>> arr1 = ndtest((2, 3))
+        >>> arr1
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+        >>> arr2 = -ndtest((3, 2))
+        >>> # reorder array to make the test more interesting
+        >>> arr2 = arr2[['b1', 'b0']]
+        >>> arr2
+        a\\b  b1  b0
+         a0  -1   0
+         a1  -3  -2
+         a2  -5  -4
+
+        Align arr1 and arr2
+
+        >>> aligned1, aligned2 = arr1.align(arr2)
+        >>> aligned1
+        a\\b   b0   b1   b2
+         a0  0.0  1.0  2.0
+         a1  3.0  4.0  5.0
+         a2  nan  nan  nan
+        >>> aligned2
+        a\\b    b0    b1   b2
+         a0   0.0  -1.0  nan
+         a1  -2.0  -3.0  nan
+         a2  -4.0  -5.0  nan
+
+        After aligning all common axes, one can then do operations between the two arrays
+
+        >>> aligned1 + aligned2
+        a\\b   b0   b1   b2
+         a0  0.0  0.0  nan
+         a1  1.0  1.0  nan
+         a2  nan  nan  nan
+
+        Other kinds of joins are supported
+
+        >>> aligned1, aligned2 = arr1.align(arr2, join='inner')
+        >>> aligned1
+        a\\b   b0   b1
+         a0  0.0  1.0
+         a1  3.0  4.0
+        >>> aligned2
+        a\\b    b0    b1
+         a0   0.0  -1.0
+         a1  -2.0  -3.0
+        >>> aligned1, aligned2 = arr1.align(arr2, join='left')
+        >>> aligned1
+        a\\b   b0   b1   b2
+         a0  0.0  1.0  2.0
+         a1  3.0  4.0  5.0
+        >>> aligned2
+        a\\b    b0    b1   b2
+         a0   0.0  -1.0  nan
+         a1  -2.0  -3.0  nan
+        >>> aligned1, aligned2 = arr1.align(arr2, join='right')
+        >>> aligned1
+        a\\b   b1   b0
+         a0  1.0  0.0
+         a1  4.0  3.0
+         a2  nan  nan
+        >>> aligned2
+        a\\b    b1    b0
+         a0  -1.0   0.0
+         a1  -3.0  -2.0
+         a2  -5.0  -4.0
+
+        The fill value for missing labels defaults to nan but can be changed to any compatible value.
+
+        >>> aligned1, aligned2 = arr1.align(arr2, fill_value=0)
+        >>> aligned1
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+         a2   0   0   0
+        >>> aligned2
+        a\\b  b0  b1  b2
+         a0   0  -1   0
+         a1  -2  -3   0
+         a2  -4  -5   0
+        >>> aligned1 + aligned2
+        a\\b  b0  b1  b2
+         a0   0   0   2
+         a1   1   1   5
+         a2  -4  -5   0
+
+        It also works when either arrays (or both) have extra axes
+
+        >>> arr3 = ndtest((3, 2, 2))
+        >>> arr1
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+        >>> arr3
+         a  b\\c  c0  c1
+        a0   b0   0   1
+        a0   b1   2   3
+        a1   b0   4   5
+        a1   b1   6   7
+        a2   b0   8   9
+        a2   b1  10  11
+        >>> aligned1, aligned2 = arr1.align(arr3, join='inner')
+        >>> aligned1
+        a\\b   b0   b1
+         a0  0.0  1.0
+         a1  3.0  4.0
+        >>> aligned2
+         a  b\c   c0   c1
+        a0   b0  0.0  1.0
+        a0   b1  2.0  3.0
+        a1   b0  4.0  5.0
+        a1   b1  6.0  7.0
+        >>> aligned1 + aligned2
+         a  b\\c    c0    c1
+        a0   b0   0.0   1.0
+        a0   b1   3.0   4.0
+        a1   b0   7.0   8.0
+        a1   b1  10.0  11.0
+
+        One can also align only some specific axes (but in that case arrays might not be compatible)
+
+        >>> aligned1, aligned2 = arr1.align(arr2, axes='b')
+        >>> aligned1
+        a\\b   b0   b1   b2
+         a0  0.0  1.0  2.0
+         a1  3.0  4.0  5.0
+        >>> aligned2
+        a\\b    b0    b1   b2
+         a0   0.0  -1.0  nan
+         a1  -2.0  -3.0  nan
+         a2  -4.0  -5.0  nan
+        """
+        other = aslarray(other)
+        # reindex does not currently support anonymous axes
+        if any(name is None for name in self.axes.names) or any(name is None for name in other.axes.names):
+            raise ValueError("arrays with anonymous axes are currently not supported by LArray.align")
+        left_axes, right_axes = self.axes.align(other.axes, join=join, axes=axes)
+        return self.reindex(left_axes, fill_value=fill_value), other.reindex(right_axes, fill_value=fill_value)
+
     def sort_values(self, key, reverse=False):
         """Sorts values of the array.
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 797495dc0..19db2048d 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -998,6 +998,49 @@ def difference(self, other):
         seen = set(other)
         return Axis([l for l in self.labels if l not in seen], self.name)
 
+    def align(self, other, join='outer'):
+        """Align axis with other object using specified join method.
+
+        Parameters
+        ----------
+        other : Axis or label sequence
+        join : {'outer', 'inner', 'left', 'right'}, optional
+            Defaults to 'outer'.
+
+        Returns
+        -------
+        Axis
+            Aligned axis
+
+        See Also
+        --------
+        LArray.align
+
+        Examples
+        --------
+        >>> axis1 = Axis('a=a0..a2')
+        >>> axis2 = Axis('a=a1..a3')
+        >>> axis1.align(axis2)
+        Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+        >>> axis1.align(axis2, join='inner')
+        Axis(['a1', 'a2'], 'a')
+        >>> axis1.align(axis2, join='left')
+        Axis(['a0', 'a1', 'a2'], 'a')
+        >>> axis1.align(axis2, join='right')
+        Axis(['a1', 'a2', 'a3'], 'a')
+        """
+        assert join in {'outer', 'inner', 'left', 'right'}
+        if join == 'outer':
+            return self.union(other)
+        elif join == 'inner':
+            return self.intersection(other)
+        elif join == 'left':
+            return self
+        elif join == 'right':
+            if not isinstance(other, Axis):
+                other = Axis(other)
+            return other
+
 
 def _make_axis(obj):
     if isinstance(obj, Axis):
@@ -1789,6 +1832,9 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
             Axis(['c0', 'c1', 'c2'], 'column')
         ])
         """
+        if not PY2 and isinstance(axes_to_replace, zip):
+            axes_to_replace = list(axes_to_replace)
+
         if isinstance(axes_to_replace, (list, AxisCollection)) and \
                 all([isinstance(axis, Axis) for axis in axes_to_replace]):
             if len(axes_to_replace) != len(self):
@@ -2200,6 +2246,111 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, names)]
         return self[:axis_index] + split_axes + self[axis_index + 1:]
 
+    def align(self, other, join='outer', axes=None):
+        """Align this axis collection with another.
+
+        This ensures all common axes are compatible.
+
+        Parameters
+        ----------
+        other : AxisCollection
+        join : {'outer', 'inner', 'left', 'right'}, optional
+            Defaults to 'outer'.
+        axes : AxisReference or sequence of them, optional
+            Axes to align. Need to be valid in both arrays. Defaults to None (all common axes). This must be specified
+            when mixing anonymous and non-anonymous axes.
+
+        Returns
+        -------
+        (left, right) : (AxisCollection, AxisCollection)
+            Aligned collections
+
+        See Also
+        --------
+        LArray.align
+
+        Examples
+        --------
+        >>> col1 = AxisCollection("a=a0..a1;b=b0..b2")
+        >>> col1
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+        >>> col2 = AxisCollection("a=a0..a2;c=c0..c0;b=b0..b1")
+        >>> col2
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], 'a'),
+            Axis(['c0'], 'c'),
+            Axis(['b0', 'b1'], 'b')
+        ])
+        >>> aligned1, aligned2 = col1.align(col2)
+        >>> aligned1
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+        >>> aligned2
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], 'a'),
+            Axis(['c0'], 'c'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+
+        Using anonymous axes
+
+        >>> col1 = AxisCollection("a0..a1;b0..b2")
+        >>> col1
+        AxisCollection([
+            Axis(['a0', 'a1'], None),
+            Axis(['b0', 'b1', 'b2'], None)
+        ])
+        >>> col2 = AxisCollection("a0..a2;b0..b1;c0..c0")
+        >>> col2
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], None),
+            Axis(['b0', 'b1'], None),
+            Axis(['c0'], None)
+        ])
+        >>> aligned1, aligned2 = col1.align(col2)
+        >>> aligned1
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], None),
+            Axis(['b0', 'b1', 'b2'], None)
+        ])
+        >>> aligned2
+        AxisCollection([
+            Axis(['a0', 'a1', 'a2'], None),
+            Axis(['b0', 'b1', 'b2'], None),
+            Axis(['c0'], None)
+        ])
+        """
+        if join not in {'outer', 'inner', 'left', 'right'}:
+            raise ValueError("join should be one of 'outer', 'inner', 'left' or 'right'")
+        other = other if isinstance(other, AxisCollection) else AxisCollection(other)
+
+        # if axes not specified
+        if axes is None:
+            # and we have only anonymous axes on both sides
+            if all(name is None for name in self.names) and all(name is None for name in other.names):
+                # use N first axes by position
+                join_axes = list(range(min(len(self), len(other))))
+            elif any(name is None for name in self.names) or any(name is None for name in other.names):
+                raise ValueError("axes collections with mixed anonymous/non anonymous axes are not supported by align"
+                                 "without specifying axes explicitly")
+            else:
+                assert all(name is not None for name in self.names) and all(name is not None for name in other.names)
+                # use all common axes
+                join_axes = list(OrderedSet(self.names) & OrderedSet(other.names))
+        else:
+            if isinstance(axes, (int, str, Axis)):
+                axes = [axes]
+            join_axes = axes
+        new_axes = [self_axis.align(other_axis, join=join)
+                    for self_axis, other_axis in zip(self[join_axes], other[join_axes])]
+        axes_changes = list(zip(join_axes, new_axes))
+        return self.replace(axes_changes), other.replace(axes_changes)
+
 
 class AxisReference(ABCAxisReference, ExprNode, Axis):
     def __init__(self, name):

From 84642739b7f14b53d9ff74ff003cc8ab8e076e62 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 7 Jul 2017 14:07:43 +0200
Subject: [PATCH 673/899] fixed links to issues in 0.24 changelog (the : before
 "issue" is important)

---
 doc/source/changes/version_0_24.rst.inc | 10 +++++-----
 doc/source/changes/version_0_25.rst.inc |  2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/doc/source/changes/version_0_24.rst.inc b/doc/source/changes/version_0_24.rst.inc
index ae8e034ef..5cf0cdfbd 100644
--- a/doc/source/changes/version_0_24.rst.inc
+++ b/doc/source/changes/version_0_24.rst.inc
@@ -19,7 +19,7 @@
      a1   2   3
 
 * added new boolean argument 'overwrite' to Session.save, Session.to_hdf, Session.to_excel and Session.to_pickle
-  methods (closes issue:`293`). If overwrite=True and the target file already existed, it is deleted and replaced by a
+  methods (closes :issue:`293`). If overwrite=True and the target file already existed, it is deleted and replaced by a
   new one. This is the new default behavior. If overwrite=False, an existing file is updated (like it was in previous
   larray versions):
 
@@ -70,9 +70,9 @@ Fixes
 
 * fixed title argument of `ndtest` creation function: title was not passed to the returned array.
 
-* fixed create_sequential when arguments initial and inc are array and scalar respectively (closes issue:`288`).
+* fixed create_sequential when arguments initial and inc are array and scalar respectively (closes :issue:`288`).
 
-* fixed auto-completion of attributes of LArray and Group objects (closes issue:`302`).
+* fixed auto-completion of attributes of LArray and Group objects (closes :issue:`302`).
 
 * fixed name of arrays/sessions in compare() not being inferred correctly (closes :issue:`306`).
 
@@ -86,9 +86,9 @@ Fixes
 * fixed some warning messages to point to the correct line in user code.
 
 * fixed crash of Session.save method when it contained 0D arrays. They are now skipped when saving a session (closes
-  issue:`291`).
+  :issue:`291`).
 
 * fixed Session.save and Session.to_excel failing to create new Excel files (it only worked if the file already
-  existed). Closes issue:`313`.
+  existed). Closes :issue:`313`.
 
 * fixed Session.load(file, engine='pandas_excel') : axes were considered as anonymous.
diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 3842900ad..d3207e23d 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -3,7 +3,7 @@
 
 * installing larray-editor (or larrayenv) from conda environment creates a new menu 'LArray' in the Windows start menu.
   It contains a link to open the documentation, a shortcut to launch the user interface in edition mode
-  and a shortcut to update larrayenv. Closes issue:`281`.
+  and a shortcut to update larrayenv. Closes :issue:`281`.
 
 * implemented array.align(other_array) which makes two arrays compatible with each other (by making all common axes
   compatible). This is done by adding, removing or reordering labels for each common axis according to the join method

From aa9ff01d932c8fa5f046b8ac57b2af35b913748e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 17 Jul 2017 16:15:49 +0200
Subject: [PATCH 674/899] implemented Session.transpose (#342)

implemented Session.transpose
---
 doc/source/api.rst                      |  1 +
 doc/source/changes/version_0_25.rst.inc | 30 +++++++++++++
 larray/core/session.py                  | 56 +++++++++++++++++++++++++
 3 files changed, 87 insertions(+)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 5e115e0fa..a35dcbc21 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -548,6 +548,7 @@ Modifying
 
    Session.add
    Session.get
+   Session.transpose
 
 Filtering/Cleaning
 ------------------
diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index d3207e23d..f209acc4f 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -72,6 +72,36 @@
      a1   1   1   5
      a2  -4  -5   0
 
+* implemented Session.transpose(axes) to reorder axes of all arrays within a session, ignoring missing axes for each
+  array. Let us first create a test session and a small helper function to display sessions as a short summary.
+
+    >>> arr1 = ndtest((2, 2, 2))
+    >>> arr2 = ndtest((2, 2))
+    >>> sess = Session([('arr1', arr1), ('arr2', arr2)])
+    >>> def print_summary(s):
+    ...     print(s.summary("{name} -> {axes_names}"))
+    >>> print_summary(sess)
+    arr1 -> a, b, c
+    arr2 -> a, b
+
+  Put 'b' axis in front of all arrays
+
+    >>> print_summary(sess.transpose('b'))
+    arr1 -> b, a, c
+    arr2 -> b, a
+
+  Axes missing on an array are ignored ('c' for arr2 in this case)
+
+    >>> print_summary(sess.transpose('c', 'b'))
+    arr1 -> c, b, a
+    arr2 -> b, a
+
+  Use ... to move axes to the end
+
+    >>> print_summary(sess.transpose(..., 'a'))
+    arr1 -> b, c, a
+    arr2 -> b, a
+
 * implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
   compatible with each other, see LArray.align above.
 
diff --git a/larray/core/session.py b/larray/core/session.py
index 0c474e7a3..bbaf674fd 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -688,6 +688,62 @@ def __eq__(self, other):
     def __ne__(self, other):
         return ~(self == other)
 
+    def transpose(self, *args):
+        """Reorder axes of arrays in session, ignoring missing axes for each array.
+
+        Parameters
+        ----------
+        *args
+            Accepts either a tuple of axes specs or axes specs as `*args`. Omitted axes keep their order.
+            Use ... to avoid specifying intermediate axes. Axes missing in an array are ignored.
+
+        Returns
+        -------
+        Session
+            Session with each array with reordered axes where appropriate.
+
+        See Also
+        --------
+        LArray.transpose
+
+        Examples
+        --------
+
+        Let us create a test session and a small helper function to display sessions as a short summary.
+
+        >>> arr1 = ndtest((2, 2, 2))
+        >>> arr2 = ndtest((2, 2))
+        >>> sess = Session([('arr1', arr1), ('arr2', arr2)])
+        >>> def print_summary(s):
+        ...     print(s.summary("{name} -> {axes_names}"))
+        >>> print_summary(sess)
+        arr1 -> a, b, c
+        arr2 -> a, b
+
+        Put 'b' axis in front of all arrays
+
+        >>> print_summary(sess.transpose('b'))
+        arr1 -> b, a, c
+        arr2 -> b, a
+
+        Axes missing on an array are ignored ('c' for arr2 in this case)
+
+        >>> print_summary(sess.transpose('c', 'b'))
+        arr1 -> c, b, a
+        arr2 -> b, a
+
+        Use ... to move axes to the end
+
+        >>> print_summary(sess.transpose(..., 'a'))   # doctest: +SKIP
+        arr1 -> b, c, a
+        arr2 -> b, a
+        """
+        def lenient_transpose(arr, axes):
+            # filter out axes not in arr.axes
+            return arr.transpose([a for a in axes if a in arr.axes or a is Ellipsis])
+        return Session([(k, lenient_transpose(v, args) if isinstance(v, LArray) else v)
+                        for k, v in self.items()])
+
     def compact(self, display=False):
         """
         Detects and removes "useless" axes (ie axes for which values are

From 475311fabd380ffbacc70e1ec8f6edf1779585e7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 18 Jul 2017 11:06:26 +0200
Subject: [PATCH 675/899] implemented yet another syntax for stack ;-)

---
 doc/source/changes/version_0_25.rst.inc | 26 +++++++++++++++
 larray/core/array.py                    | 42 ++++++++++++++++++++-----
 2 files changed, 60 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index f209acc4f..4db83fc46 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -116,6 +116,32 @@ Miscellaneous improvements
 
 * added 'Getting Started' section in documentation.
 
+* stack can be used with keyword arguments when labels are "simple strings" (i.e. no integers, no punctuation,
+  no string starting with integers, etc.). This is an attractive alternative but as it only works in the usual case and
+  not in all cases, it is not recommended to use it except in the interactive console.
+
+    >>> arr1 = ones('nat=BE,FO')
+    >>> arr1
+    nat   BE   FO
+         1.0  1.0
+    >>> arr2 = zeros('nat=BE,FO')
+    >>> arr2
+    nat   BE   FO
+         0.0  0.0
+    >>> stack(M=arr1, F=arr2, axis='sex=M,F')
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
+
+  Without passing an explicit order for labels like above (or an axis object), it should only be used on Python 3.6 or
+  later because keyword arguments are NOT ordered on earlier Python versions.
+
+    # use this only on Python 3.6 and later
+    >>> stack(M=arr1, F=arr2, axis='sex')
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 1a2d1f00a..d05845b4e 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -7562,7 +7562,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 #       ('FR', 'M'): 2, ('FR', 'F'): 3,
 #       ('DE', 'M'): 4, ('DE', 'F'): 5})
 
-def stack(arrays, axis=None, title=''):
+def stack(arrays=None, axis=None, title='', **kwargs):
     """
     Combines several arrays along an axis.
 
@@ -7630,10 +7630,37 @@ def stack(arrays, axis=None, title=''):
     nat\\{1}*    0    1
           BE  1.0  0.0
           FO  1.0  0.0
+
+    When labels are "simple" strings (ie no integers, no string starting with integers, etc.), using keyword
+    arguments can be an attractive alternative.
+
+    >>> stack(F=arr2, M=arr1, axis=sex)
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
+
+    Without passing an explicit order for labels (or an axis object like above), it should only be used on Python 3.6
+    or later because keyword arguments are NOT ordered on earlier Python versions.
+
+    >>> # use this only on Python 3.6 and later
+    >>> stack(M=arr1, F=arr2, axis='sex')   # doctest: +SKIP
+    nat\\sex    M    F
+         BE  1.0  0.0
+         FO  1.0  0.0
     """
     if isinstance(axis, str) and '=' in axis:
         axis = Axis(axis)
-    # LArray arrays could be interesting
+    if arrays is None:
+        if not isinstance(axis, Axis) and sys.version_info[:2] < (3, 6):
+            raise TypeError("axis argument should provide label order when using keyword arguments on Python < 3.6")
+        arrays = kwargs.items()
+    elif kwargs:
+        raise TypeError("stack() accept either keyword arguments OR a collection of arrays, not both")
+
+    if isinstance(axis, Axis) and all(isinstance(a, tuple) for a in arrays):
+        assert all(len(a) == 2 for a in arrays)
+        arrays = {k: v for k, v in arrays}
+
     if isinstance(arrays, LArray):
         if axis is None:
             axis = -1
@@ -7649,13 +7676,12 @@ def stack(arrays, axis=None, title=''):
         if all(isinstance(a, tuple) for a in arrays):
             assert all(len(a) == 2 for a in arrays)
             keys = [k for k, v in arrays]
-            assert all(np.isscalar(k) for k in keys)
-            if isinstance(axis, Axis):
-                assert np.array_equal(axis.labels, keys)
-            else:
-                # None or str
-                axis = Axis(keys, axis)
             values = [v for k, v in arrays]
+            assert all(np.isscalar(k) for k in keys)
+            # this case should already be handled
+            assert not isinstance(axis, Axis)
+            # axis should be None or str
+            axis = Axis(keys, axis)
         else:
             values = arrays
             if axis is None or isinstance(axis, basestring):

From 7c1574f99f08bcea20594d8852ad0f0210d83bf4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 18 Jul 2017 13:54:16 +0200
Subject: [PATCH 676/899] made session binary ops more resilient to type errors

---
 doc/source/changes/version_0_25.rst.inc | 4 ++++
 larray/core/session.py                  | 6 +++++-
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 4db83fc46..406c88e80 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -142,6 +142,10 @@ Miscellaneous improvements
          BE  1.0  0.0
          FO  1.0  0.0
 
+* binary operations between session now ignore type errors. For example, if you are comparing two sessions with many
+  arrays by computing the difference between them but a few arrays contain strings, the whole operation will not fail,
+  the concerned arrays will be assigned a nan instead.
+
 
 Fixes
 -----
diff --git a/larray/core/session.py b/larray/core/session.py
index bbaf674fd..6bc481cf1 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -666,7 +666,11 @@ def opmethod(self, other):
                 for name in all_keys:
                     self_array = self.get(name, np.nan)
                     other_array = other.get(name, np.nan)
-                    res.append((name, getattr(self_array, opfullname)(other_array)))
+                    try:
+                        res_array = getattr(self_array, opfullname)(other_array)
+                    except TypeError:
+                        res_array = np.nan
+                    res.append((name, res_array))
             return Session(res)
         opmethod.__name__ = opfullname
         return opmethod

From 95c574dbcd7b412d92a07453dc4fdc93eaf27af1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 18 Jul 2017 13:45:43 +0200
Subject: [PATCH 677/899] implemented unary ops on Session

---
 doc/source/changes/version_0_25.rst.inc | 24 ++++++++++++++++++++++++
 larray/core/session.py                  | 23 +++++++++++++++++++++++
 2 files changed, 47 insertions(+)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 406c88e80..2eeced0f7 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -102,6 +102,30 @@
     arr1 -> b, c, a
     arr2 -> b, a
 
+* implemented unary operations on Session, which means one can negate all arrays in a Session or take the absolute
+  value of all arrays in a Session without writing an explicit loop for that.
+
+    >>> arr1 = ndtest(2)
+    >>> arr1
+    a  a0  a1
+        0   1
+    >>> arr2 = ndtest(4) - 1
+    >>> arr2
+    a  a0  a1  a2  a3
+       -1   0   1   2
+    >>> sess1 = Session([('arr1', arr1), ('arr2', arr2)])
+    >>> sess2 = -sess1
+    >>> sess2.arr1
+    a  a0  a1
+        0  -1
+    >>> sess2.arr2
+    a  a0  a1  a2  a3
+        1   0  -1  -2
+    >>> sess3 = abs(sess1)
+    >>> sess3.arr2
+    a  a0  a1  a2  a3
+        1   0   1   2
+
 * implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
   compatible with each other, see LArray.align above.
 
diff --git a/larray/core/session.py b/larray/core/session.py
index 6bc481cf1..76605e13a 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -680,6 +680,29 @@ def opmethod(self, other):
     __mul__ = _binop('mul')
     __truediv__ = _binop('truediv')
 
+    # element-wise method factory
+    # unary operations are (also) dispatched element-wise to all arrays
+    def _unaryop(opname):
+        opfullname = '__%s__' % opname
+
+        def opmethod(self):
+            with np.errstate(call=_session_float_error_handler):
+                res = []
+                for k, v in self.items():
+                    try:
+                        res_array = getattr(v, opfullname)()
+                    except TypeError:
+                        res_array = np.nan
+                    res.append((k, res_array))
+            return Session(res)
+        opmethod.__name__ = opfullname
+        return opmethod
+
+    __neg__ = _unaryop('neg')
+    __pos__ = _unaryop('pos')
+    __abs__ = _unaryop('abs')
+    __invert__ = _unaryop('invert')
+
     # XXX: use _binop (ie elementwise comparison instead of aggregating
     #      directly?)
     def __eq__(self, other):

From b8218e239c30de38cc32f8d3a747865bb2c9a32c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 5 Jul 2017 11:48:22 +0200
Subject: [PATCH 678/899] removed modules test_viewer.py, api.py, combo.py,
 model.py and view.py and directory images (moved in larray-editor project) +
 updated setup.py and viewer/init.py (try to load view(), edit() and compare()
 from larray-editor)

---
 larray/images/larray.ico    |  Bin 16958 -> 0 bytes
 larray/images/larray.png    |  Bin 2724 -> 0 bytes
 larray/images/larray.svg    |  220 -----
 larray/tests/test_viewer.py |   96 --
 larray/viewer/__init__.py   |    8 +-
 larray/viewer/api.py        |  354 -------
 larray/viewer/combo.py      |  244 -----
 larray/viewer/model.py      |  883 -----------------
 larray/viewer/view.py       | 1819 -----------------------------------
 setup.py                    |    4 +-
 10 files changed, 6 insertions(+), 3622 deletions(-)
 delete mode 100644 larray/images/larray.ico
 delete mode 100644 larray/images/larray.png
 delete mode 100644 larray/images/larray.svg
 delete mode 100644 larray/tests/test_viewer.py
 delete mode 100644 larray/viewer/api.py
 delete mode 100644 larray/viewer/combo.py
 delete mode 100644 larray/viewer/model.py
 delete mode 100644 larray/viewer/view.py

diff --git a/larray/images/larray.ico b/larray/images/larray.ico
deleted file mode 100644
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diff --git a/larray/tests/test_viewer.py b/larray/tests/test_viewer.py
deleted file mode 100644
index 821d19fac..000000000
--- a/larray/tests/test_viewer.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import pytest
-from pytestqt import qtbot
-
-from qtpy.QtCore import Qt, QModelIndex
-import numpy as np
-import pandas as pd
-
-from larray import ndtest, zeros, LArray
-from larray import view, edit, compare
-from larray.viewer.model import ArrayModel, Product, LARGE_NROWS, LARGE_COLS
-
-@pytest.fixture(scope="module")
-def data():
-    return ndtest((5, 5, 5, 5))
-
-@pytest.fixture(scope="module")
-def model(data):
-    return ArrayModel(data)
-
-# see https://pytest-qt.readthedocs.io/en/latest/modeltester.html
-# def test_generic(model, qtmodeltester):
-#     qtmodeltester.check(model)
-
-def test_create_model():
-    # data = None --> empty array with shape (0,0) is generated
-    model = ArrayModel()
-    assert model.get_data_2D().shape == (0, 0)
-
-    # data = scalar
-    model = ArrayModel(LArray(5))
-    assert model.get_data_2D().shape == (1, 1)
-
-    # data = 1D array --> reshaped to 2D array with dim (1, len(data))
-    model = ArrayModel(ndtest(5))
-    assert model.get_data_2D().shape == (1, 5)
-
-    # data = 3D array --> reshaped to 2D array with dim (axis1*axis2, axis3)
-    model = ArrayModel(ndtest((5, 5, 5)))
-    assert model.get_data_2D().shape == (5 * 5, 5)
-
-def test_row_column_count(data, model):
-    nb_labels_prod_axes = np.prod(data.shape[:-1])
-    nb_labels_last_axis = len(data.axes[-1])
-    # nb_rows = prod(dim_0, ..., dim_n-1) + 1 row to display labels of the last dim
-    assert model.rowCount() == nb_labels_prod_axes + 1
-    # nb_cols = (n-1) columns to display the product of labels of the n-1 first dimensions +
-    #           m columns for the labels of the last dimension
-    assert model.columnCount() == data.ndim - 1 + nb_labels_last_axis
-
-    data2 = zeros((int(LARGE_NROWS) + 10, LARGE_COLS + 10))
-    model2 = ArrayModel(data2)
-    assert model2.rowCount() == ArrayModel.ROWS_TO_LOAD + 1
-    assert model2.columnCount() == ArrayModel.COLS_TO_LOAD + 1
-
-def test_length_xylabels(data, model):
-    # xlabels --> xlabels[0] = axis names; xlabels[1] = labels of the last axis
-    assert len(model.xlabels) == 2
-    # ylabels --> ylabels[0] = empty; ylabels[i] = labels for the ith dimension (i <= n-1)
-    assert len(model.ylabels) == data.ndim
-
-def test_get_labels(data, model):
-    # row and column start at 0
-    first_data_row = 1               # = len(model.xlabels) -1
-    first_data_col = data.ndim - 1   # = len(model.ylabels) -1
-
-    index = model.index(first_data_row - 1, first_data_col - 1)
-    assert model.get_labels(index) == ""
-    index = model.index(first_data_row, first_data_col)
-    assert model.get_labels(index) == "a=a0, b=b0, c=c0, d=d0"
-
-def test_get_value(data, model):
-    # row and column start at 0
-    first_data_row = 1               # = len(model.xlabels) -1
-    first_data_col = data.ndim - 1   # = len(model.ylabels) -1
-
-    # first cell is empty
-    assert model.get_value(model.index(0, 0)) == ""
-
-    # testing xlabels
-    labels_last_axis = data.axes[-1].labels
-    for j, label in enumerate(labels_last_axis):
-        assert model.get_value(model.index(0, first_data_col + j)) == label
-        assert model.xlabels[1][j] == label
-
-    # test ylabels
-    for i, labels in enumerate(Product(data.axes.labels[:-1])):
-        for j, label in enumerate(labels):
-            assert model.get_value(model.index(first_data_row + i, j)) == label
-            assert model.ylabels[j+1][i] == label
-
-    # test first data
-    index = model.index(first_data_row, first_data_col)
-    assert model.get_value(index) == data.i[0, 0, 0, 0]
-
-if __name__ == "__main__":
-    pytest.main()
diff --git a/larray/viewer/__init__.py b/larray/viewer/__init__.py
index 397bc2158..a22bae3bd 100644
--- a/larray/viewer/__init__.py
+++ b/larray/viewer/__init__.py
@@ -1,13 +1,13 @@
 from __future__ import absolute_import, division, print_function
 
 try:
-    from larray.viewer.api import *
+    from larray_editor import *
 except ImportError:
     def view(*args, **kwargs):
-        raise Exception('view() is not available because Qt is not installed')
+        raise Exception('view() is not available because the larray_editor package is not installed')
 
     def edit(*args, **kwargs):
-        raise Exception('edit() is not available because Qt is not installed')
+        raise Exception('edit() is not available because the larray_editor package is not installed')
 
     def compare(*args, **kwargs):
-        raise Exception('compare() is not available because Qt is not installed')
\ No newline at end of file
+        raise Exception('compare() is not available because the larray_editor package is not installed')
diff --git a/larray/viewer/api.py b/larray/viewer/api.py
deleted file mode 100644
index f6738bb47..000000000
--- a/larray/viewer/api.py
+++ /dev/null
@@ -1,354 +0,0 @@
-from __future__ import absolute_import, division, print_function
-
-import os
-import sys
-import traceback
-from collections import OrderedDict
-import numpy as np
-import larray as la
-
-from qtpy.QtWidgets import QApplication, QMainWindow
-from larray.viewer.view import MappingEditor, ArrayEditor, SessionComparator, ArrayComparator, REOPEN_LAST_FILE
-
-__all__ = ['view', 'edit', 'compare', 'REOPEN_LAST_FILE']
-
-def qapplication():
-    return QApplication(sys.argv)
-
-
-def find_names(obj, depth=0):
-    """Return all names an object is bound to.
-
-    Parameters
-    ----------
-    obj : object
-        the object to find names for.
-    depth : int
-        depth of call frame to inspect. 0 is where find_names was called,
-        1 the caller of find_names, etc.
-
-    Returns
-    -------
-    list of str
-        all names obj is bound to, sorted alphabetically. Can be [] if we
-        computed an array just to view it.
-    """
-    # noinspection PyProtectedMember
-    l = sys._getframe(depth + 1).f_locals
-    return sorted(k for k, v in l.items() if v is obj)
-
-
-def get_title(obj, depth=0, maxnames=3):
-    """Return a title for an object (a combination of the names it is bound to).
-
-    Parameters
-    ----------
-    obj : object
-        the object to find a title for.
-    depth : int
-        depth of call frame to inspect. 0 is where get_title was called,
-        1 the caller of get_title, etc.
-
-    Returns
-    -------
-    str
-        title for obj. This can be '' if we computed an array just to view it.
-    """
-    names = find_names(obj, depth=depth + 1)
-    # names can be == []
-    # eg. view(arr['M'])
-    if len(names) > maxnames:
-        names = names[:maxnames] + ['...']
-    return ', '.join(names)
-
-
-def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
-    """
-    Opens a new editor window.
-
-    Parameters
-    ----------
-    obj : np.ndarray, LArray, Session, dict, str or REOPEN_LAST_FILE, optional
-        Object to visualize. If string, array(s) will be loaded from the file given as argument.
-        Passing the constant REOPEN_LAST_FILE loads the last opened file. 
-        Defaults to the collection of all local variables where the function was called.
-    title : str, optional
-        Title for the current object. Defaults to the name of the first object found in the caller namespace which
-        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
-        object).
-    minvalue : scalar, optional
-        Minimum value allowed.
-    maxvalue : scalar, optional
-        Maximum value allowed.
-    readonly : bool, optional
-        Whether or not editing array values is forbidden. Defaults to False.
-    depth : int, optional
-        Stack depth where to look for variables. Defaults to 0 (where this function was called).
-
-    Examples
-    --------
-    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
-    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
-    >>> # will open an editor with all the arrays available at this point
-    >>> # (a1 and a2 in this case)
-    >>> edit()                                                                                         # doctest: +SKIP
-    >>> # will open an editor for a1 only
-    >>> edit(a1)                                                                                       # doctest: +SKIP
-    """
-    _app = QApplication.instance()
-    if _app is None:
-        install_except_hook()
-        _app = qapplication()
-        _app.setOrganizationName("LArray")
-        _app.setApplicationName("Viewer")
-        parent = None
-    else:
-        parent = _app.activeWindow()
-
-    if obj is None:
-        local_vars = sys._getframe(depth + 1).f_locals
-        obj = OrderedDict([(k, local_vars[k]) for k in sorted(local_vars.keys())])
-
-    if not isinstance(obj, la.Session) and hasattr(obj, 'keys'):
-        obj = la.Session(obj)
-
-    if not title and obj is not REOPEN_LAST_FILE:
-        title = get_title(obj, depth=depth + 1)
-
-    dlg = MappingEditor(parent) if obj is REOPEN_LAST_FILE or isinstance(obj, (str, la.Session)) else ArrayEditor(parent)
-    if dlg.setup_and_check(obj, title=title, minvalue=minvalue, maxvalue=maxvalue, readonly=readonly):
-        if parent or isinstance(dlg, QMainWindow):
-            dlg.show()
-            _app.exec_()
-        else:
-            dlg.exec_()
-    if parent is None:
-        restore_except_hook()
-
-
-def view(obj=None, title='', depth=0):
-    """
-    Opens a new viewer window. Arrays are loaded in readonly mode and their content cannot be modified.
-
-    Parameters
-    ----------
-    obj : np.ndarray, LArray, Session, dict or str, optional
-        Object to visualize. If string, array(s) will be loaded from the file given as argument.
-        Defaults to the collection of all local variables where the function was called.
-    title : str, optional
-        Title for the current object. Defaults to the name of the first object found in the caller namespace which
-        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
-        object).
-    depth : int, optional
-        Stack depth where to look for variables. Defaults to 0 (where this function was called).
-
-    Examples
-    --------
-    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
-    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
-    >>> # will open a viewer showing all the arrays available at this point
-    >>> # (a1 and a2 in this case)
-    >>> view()                                                                                         # doctest: +SKIP
-    >>> # will open a viewer showing only a1
-    >>> view(a1)                                                                                       # doctest: +SKIP
-    """
-    edit(obj, title=title, readonly=True, depth=depth + 1)
-
-
-def compare(*args, **kwargs):
-    """
-    Opens a new comparator window, comparing arrays or sessions.
-
-    Parameters
-    ----------
-    *args : LArrays or Sessions
-        Arrays or sessions to compare.
-    title : str, optional
-        Title for the window. Defaults to ''.
-    names : list of str, optional
-        Names for arrays or sessions being compared. Defaults to the name of the first objects found in the caller
-        namespace which correspond to the passed objects.
-
-    Examples
-    --------
-    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
-    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
-    >>> compare(a1, a2, title='first comparison')                                                      # doctest: +SKIP
-    >>> compare(a1 + 1, a2, title='second comparison', names=['a1+1', 'a2'])                           # doctest: +SKIP
-    """
-    title = kwargs.pop('title', '')
-    names = kwargs.pop('names', None)
-    _app = QApplication.instance()
-    if _app is None:
-        install_except_hook()
-        _app = qapplication()
-        parent = None
-    else:
-        parent = _app.activeWindow()
-
-    if any(isinstance(a, la.Session) for a in args):
-        dlg = SessionComparator(parent)
-        default_name = 'session'
-    else:
-        dlg = ArrayComparator(parent)
-        default_name = 'array'
-
-    def get_name(i, obj, depth=0):
-        obj_names = find_names(obj, depth=depth + 1)
-        return obj_names[0] if obj_names else '%s %d' % (default_name, i)
-
-    if names is None:
-        # depth=2 because of the list comprehension
-        names = [get_name(i, a, depth=2) for i, a in enumerate(args)]
-    else:
-        assert isinstance(names, list) and len(names) == len(args)
-
-    if dlg.setup_and_check(args, names=names, title=title):
-        if parent:
-            dlg.show()
-        else:
-            dlg.exec_()
-    if parent is None:
-        restore_except_hook()
-
-_orig_except_hook = sys.excepthook
-
-
-def _qt_except_hook(type, value, tback):
-    # only print the exception and do *not* exit the program
-    traceback.print_exception(type, value, tback)
-
-
-def install_except_hook():
-    sys.excepthook = _qt_except_hook
-
-
-def restore_except_hook():
-    sys.excepthook = _orig_except_hook
-
-
-_orig_display_hook = sys.displayhook
-
-
-def _qt_display_hook(value):
-    if isinstance(value, la.LArray):
-        view(value)
-    else:
-        _orig_display_hook(value)
-
-
-def install_display_hook():
-    sys.displayhook = _qt_display_hook
-
-
-def restore_display_hook():
-    sys.displayhook = _orig_display_hook
-
-
-if __name__ == "__main__":
-    """Array editor test"""
-
-    lipro = la.Axis(['P%02d' % i for i in range(1, 16)], 'lipro')
-    age = la.Axis('age=0..115')
-    sex = la.Axis('sex=M,F')
-
-    vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
-          'A43,A44,A45,A46,A71,A72,A73'
-    wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \
-          'A83,A84,A85,A91,A92,A93'
-    bru = 'A21'
-    # list of strings
-    belgium = la.union(vla, wal, bru)
-
-    geo = la.Axis(belgium, 'geo')
-
-    # data1 = np.arange(30).reshape(2, 15)
-    # arr1 = la.LArray(data1, axes=(sex, lipro))
-    # edit(arr1)
-
-    # data2 = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
-    #           .astype(float)
-    # data2 = np.random.random(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
-    #           .astype(float)
-    # data2 = (np.random.randint(10, size=(116, 44, 2, 15)) - 5) / 17
-    # data2 = np.random.randint(10, size=(116, 44, 2, 15)) / 100 + 1567
-    # data2 = np.random.normal(51000000, 10000000, size=(116, 44, 2, 15))
-    data2 = np.random.normal(0, 1, size=(116, 44, 2, 15))
-    arr2 = la.LArray(data2, axes=(age, geo, sex, lipro))
-    # arr2 = la.ndrange([100, 100, 100, 100, 5])
-    # arr2 = arr2['F', 'A11', 1]
-
-    # view(arr2[0, 'A11', 'F', 'P01'])
-    # view(arr1)
-    # view(arr2[0, 'A11'])
-    # edit(arr1)
-    # print(arr2[0, 'A11', :, 'P01'])
-    # edit(arr2.astype(int), minvalue=-99, maxvalue=55.123456)
-    # edit(arr2.astype(int), minvalue=-99)
-    # arr2.i[0, 0, 0, 0] = np.inf
-    # arr2.i[0, 0, 1, 1] = -np.inf
-    # arr2 = [0.0000111, 0.0000222]
-    # arr2 = [0.00001, 0.00002]
-    # edit(arr2, minvalue=-99, maxvalue=25.123456)
-    # print(arr2[0, 'A11', :, 'P01'])
-
-    # data2 = np.random.normal(0, 10.0, size=(5000, 20))
-    # arr2 = la.LArray(data2,
-    #                  axes=(la.Axis(list(range(5000)), 'd0'),
-    #                        la.Axis(list(range(20)), 'd1')))
-    # edit(arr2)
-
-    # view(['a', 'bb', 5599])
-    # view(np.arange(12).reshape(2, 3, 2))
-    # view([])
-
-    data3 = np.random.normal(0, 1, size=(2, 15))
-    arr3 = la.ndrange((30, sex))
-    # data4 = np.random.normal(0, 1, size=(2, 15))
-    # arr4 = la.LArray(data4, axes=(sex, lipro))
-
-    # arr4 = arr3.copy()
-    # arr4['F'] /= 2
-    arr4 = arr3.min(la.x.sex)
-    arr5 = arr3.max(la.x.sex)
-    arr6 = arr3.mean(la.x.sex)
-
-    # test isssue #35
-    arr7 = la.from_lists([['a',                   1,                    2,                    3],
-                          [ '', 1664780726569649730, -9196963249083393206, -7664327348053294350]])
-
-    # compare(arr3, arr4, arr5, arr6)
-
-    # view(la.stack((arr3, arr4), la.Axis('arrays=arr3,arr4')))
-    ses = la.Session(arr2=arr2, arr3=arr3, arr4=arr4, arr5=arr5, arr6=arr6, arr7=arr7,
-                     data2=data2, data3=data3)
-
-    # from larray.tests.common import abspath
-    # file = abspath('test_session.xlsx')
-    # ses.save(file)
-
-    edit(ses)
-    # edit(file)
-    # edit('fake_path')
-    # edit(REOPEN_LAST_FILE)
-
-    # s = la.local_arrays()
-    # view(s)
-    # print('HDF')
-    # s.save('x.h5')
-    # print('\nEXCEL')
-    # s.save('x.xlsx')
-    # print('\nCSV')
-    # s.save('x_csv')
-    # print('\n open HDF')
-    # edit('x.h5')
-    # print('\n open EXCEL')
-    # edit('x.xlsx')
-    # print('\n open CSV')
-    # edit('x_csv')
-
-    # compare(arr3, arr4, arr5, arr6)
-
-    # arr3 = la.ndrange((1000, 1000, 500))
-    # print(arr3.nbytes * 1e-9 + 'Gb')
-    # edit(arr3, minvalue=-99, maxvalue=25.123456)
diff --git a/larray/viewer/combo.py b/larray/viewer/combo.py
deleted file mode 100644
index 94dcbbfd9..000000000
--- a/larray/viewer/combo.py
+++ /dev/null
@@ -1,244 +0,0 @@
-from qtpy import QtGui, QtCore, QtWidgets
-
-
-class StandardItemModelIterator(object):
-    def __init__(self, model):
-        self.model = model
-        self.pos = 0
-
-    def __next__(self):
-        if self.pos < self.model.rowCount():
-            item = self.model.item(self.pos)
-            self.pos += 1
-            return item
-        else:
-            raise StopIteration
-    next = __next__
-
-
-class SequenceStandardItemModel(QtGui.QStandardItemModel):
-    """
-    an iterable and indexable StandardItemModel
-    """
-    def __iter__(self):
-        return StandardItemModelIterator(self)
-
-    def __getitem__(self, key):
-        if isinstance(key, slice):
-            start, stop, step = key.start, key.stop, key.step
-            if start is None:
-                start = 0
-            if stop is None:
-                stop = self.rowCount()
-            if step is None:
-                step = 1
-            return [self.item(i) for i in range(start, stop, step)]
-        else:
-            if key >= self.rowCount():
-                raise IndexError("index %d is out of range" % key)
-            return self.item(key)
-
-    def __len__(self):
-        return self.rowCount()
-
-
-class StandardItem(QtGui.QStandardItem):
-    def __init__(self, value):
-        super(StandardItem, self).__init__(value)
-
-    def get_checked(self):
-        return self.checkState() == QtCore.Qt.Checked
-
-    def set_checked(self, value):
-        if isinstance(value, bool):
-            qtvalue = (QtCore.Qt.Unchecked, QtCore.Qt.Checked)[value]
-        else:
-            qtvalue = QtCore.Qt.PartiallyChecked
-        self.setCheckState(qtvalue)
-    checked = property(get_checked, set_checked)
-
-
-class FilterMenu(QtWidgets.QMenu):
-    activate = QtCore.Signal(int)
-    checkedItemsChanged = QtCore.Signal(list)
-
-    def __init__(self, parent=None):
-        super(QtWidgets.QMenu, self).__init__(parent)
-
-        self._list_view = QtWidgets.QListView(parent)
-        self._list_view.setFrameStyle(0)
-        model = SequenceStandardItemModel()
-        self._list_view.setModel(model)
-        self._model = model
-        self.addItem("(select all)")
-        model[0].setTristate(True)
-
-        action = QtWidgets.QWidgetAction(self)
-        action.setDefaultWidget(self._list_view)
-        self.addAction(action)
-        self.installEventFilter(self)
-        self._list_view.installEventFilter(self)
-        self._list_view.window().installEventFilter(self)
-
-        model.itemChanged.connect(self.on_model_item_changed)
-        self._list_view.pressed.connect(self.on_list_view_pressed)
-        self.activate.connect(self.on_activate)
-
-    def on_list_view_pressed(self, index):
-        item = self._model.itemFromIndex(index)
-        # item is None when the button has not been used yet (and this is
-        # triggered via enter)
-        if item is not None:
-            item.checked = not item.checked
-
-    def on_activate(self, row):
-        target_item = self._model[row]
-        for item in self._model[1:]:
-            item.checked = item is target_item
-
-    def on_model_item_changed(self, item):
-        model = self._model
-        model.blockSignals(True)
-        if item.index().row() == 0:
-            # (un)check first => (un)check others
-            for other in model[1:]:
-                other.checked = item.checked
-
-        items_checked = [item for item in model[1:] if item.checked]
-        num_checked = len(items_checked)
-
-        if num_checked == 0 or num_checked == len(model) - 1:
-            model[0].checked = bool(num_checked)
-        elif num_checked == 1:
-            model[0].checked = 'partial'
-        else:
-            model[0].checked = 'partial'
-        model.blockSignals(False)
-        is_checked = [i for i, item in enumerate(model[1:]) if item.checked]
-        self.checkedItemsChanged.emit(is_checked)
-
-    def addItem(self, text):
-        item = StandardItem(text)
-        # not editable
-        item.setFlags(QtCore.Qt.ItemIsUserCheckable | QtCore.Qt.ItemIsEnabled)
-        item.checked = True
-        self._model.appendRow(item)
-
-    def addItems(self, items):
-        for item in items:
-            self.addItem(item)
-
-    def eventFilter(self, obj, event):
-        event_type = event.type()
-
-        if event_type == QtCore.QEvent.KeyRelease:
-            key = event.key()
-
-            # tab key closes the popup
-            if obj == self._list_view.window() and key == QtCore.Qt.Key_Tab:
-                self.hide()
-
-            # return key activates *one* item and closes the popup
-            # first time the key is sent to the menu, afterwards to
-            # list_view
-            elif (obj == self._list_view and
-                          key in (QtCore.Qt.Key_Enter, QtCore.Qt.Key_Return)):
-                self.activate.emit(self._list_view.currentIndex().row())
-                self.hide()
-                return True
-
-        return False
-
-
-class FilterComboBox(QtWidgets.QToolButton):
-    checkedItemsChanged = QtCore.Signal(list)
-
-    def __init__(self, parent=None):
-        super(FilterComboBox, self).__init__(parent)
-        self.setText("(no filter)")
-        # QtGui.QToolButton.InstantPopup would be slightly less work (the
-        # whole button works by default, instead of only the arrow) but it is
-        # uglier
-        self.setPopupMode(QtWidgets.QToolButton.MenuButtonPopup)
-
-        menu = FilterMenu(self)
-        self.setMenu(menu)
-        self._menu = menu
-        menu.checkedItemsChanged.connect(self.on_checked_items_changed)
-        self.installEventFilter(self)
-
-    def on_checked_items_changed(self, indices_checked):
-        num_checked = len(indices_checked)
-        model = self._menu._model
-        if num_checked == 0 or num_checked == len(model) - 1:
-            self.setText("(no filter)")
-        elif num_checked == 1:
-            self.setText(model[indices_checked[0] + 1].text())
-        else:
-            self.setText("multi")
-        self.checkedItemsChanged.emit(indices_checked)
-
-    def addItem(self, text):
-        self._menu.addItem(text)
-
-    def addItems(self, items):
-        self._menu.addItems(items)
-
-    def eventFilter(self, obj, event):
-        event_type = event.type()
-
-        # this is not enabled because it causes all kind of troubles
-        # if event_type == QtCore.QEvent.KeyPress:
-        #     key = event.key()
-        #
-        #     # allow opening the popup via enter/return
-        #     if (obj == self and
-        #             key in (QtCore.Qt.Key_Return, QtCore.Qt.Key_Enter)):
-        #         self.showMenu()
-        #         return True
-
-        if event_type == QtCore.QEvent.KeyRelease:
-            key = event.key()
-
-            # allow opening the popup with up/down
-            if (obj == self and
-                    key in (QtCore.Qt.Key_Up, QtCore.Qt.Key_Down,
-                            QtCore.Qt.Key_Space)):
-                self.showMenu()
-                return True
-
-            # return key activates *one* item and closes the popup
-            # first time the key is sent to self, afterwards to list_view
-            elif (obj == self and
-                    key in (QtCore.Qt.Key_Enter, QtCore.Qt.Key_Return)):
-                self._menu.activate.emit(self._list_view.currentIndex().row())
-                self._menu.hide()
-                return True
-
-        if event_type == QtCore.QEvent.MouseButtonRelease:
-            # clicking anywhere (not just arrow) on the button shows the popup
-            if obj == self:
-                self.showMenu()
-
-        return False
-
-
-if __name__ == '__main__':
-    import sys
-
-    class TestDialog(QtWidgets.QDialog):
-        def __init__(self):
-            super(QtWidgets.QDialog, self).__init__()
-            layout = QtWidgets.QVBoxLayout()
-            self.setLayout(layout)
-
-            combo = FilterComboBox(self)
-            for i in range(20):
-                combo.addItem('Item %s' % i)
-            layout.addWidget(combo)
-
-    app = QtWidgets.QApplication(sys.argv)
-    dialog = TestDialog()
-    dialog.resize(200, 200)
-    dialog.show()
-    sys.exit(app.exec_())
diff --git a/larray/viewer/model.py b/larray/viewer/model.py
deleted file mode 100644
index f45c9af98..000000000
--- a/larray/viewer/model.py
+++ /dev/null
@@ -1,883 +0,0 @@
-from __future__ import absolute_import, division, print_function
-
-import sys
-import numpy as np
-import pandas as pd
-import larray as la
-
-from qtpy.QtCore import (Qt, QVariant, QModelIndex, QAbstractTableModel)
-from qtpy.QtGui import (QFont, QColor)
-from qtpy.QtWidgets import (QMessageBox)
-from qtpy import PYQT5
-
-PY2 = sys.version[0] == '2'
-
-
-def _get_font(family, size, bold=False, italic=False):
-    weight = QFont.Bold if bold else QFont.Normal
-    font = QFont(family, size, weight)
-    if italic:
-        font.setItalic(True)
-    return to_qvariant(font)
-
-def is_float(dtype):
-    """Return True if datatype dtype is a float kind"""
-    return ('float' in dtype.name) or dtype.name in ['single', 'double']
-
-def is_number(dtype):
-    """Return True is datatype dtype is a number kind"""
-    return is_float(dtype) or ('int' in dtype.name) or ('long' in dtype.name) or ('short' in dtype.name)
-
-# Spyder compat
-# -------------
-
-# Note: string and unicode data types will be formatted with '%s' (see below)
-SUPPORTED_FORMATS = {
-    'object': '%s',
-    'single': '%.2f',
-    'double': '%.2f',
-    'float_': '%.2f',
-    'longfloat': '%.2f',
-    'float32': '%.2f',
-    'float64': '%.2f',
-    'float96': '%.2f',
-    'float128': '%.2f',
-    'csingle': '%r',
-    'complex_': '%r',
-    'clongfloat': '%r',
-    'complex64': '%r',
-    'complex128': '%r',
-    'complex192': '%r',
-    'complex256': '%r',
-    'byte': '%d',
-    'short': '%d',
-    'intc': '%d',
-    'int_': '%d',
-    'longlong': '%d',
-    'intp': '%d',
-    'int8': '%d',
-    'int16': '%d',
-    'int32': '%d',
-    'int64': '%d',
-    'ubyte': '%d',
-    'ushort': '%d',
-    'uintc': '%d',
-    'uint': '%d',
-    'ulonglong': '%d',
-    'uintp': '%d',
-    'uint8': '%d',
-    'uint16': '%d',
-    'uint32': '%d',
-    'uint64': '%d',
-    'bool_': '%r',
-    'bool8': '%r',
-    'bool': '%r',
-}
-# =======================
-
-def get_font(section):
-    return _get_font('Calibri', 11)
-
-def to_qvariant(obj=None):
-    return obj
-
-def from_qvariant(qobj=None, pytype=None):
-    # FIXME: force API level 2 instead of handling this
-    if isinstance(qobj, QVariant):
-        assert pytype is str
-        return pytype(qobj.toString())
-    return qobj
-
-def _(text):
-    return text
-
-def to_text_string(obj, encoding=None):
-    """Convert `obj` to (unicode) text string"""
-    if PY2:
-        # Python 2
-        if encoding is None:
-            return unicode(obj)
-        else:
-            return unicode(obj, encoding)
-    else:
-        # Python 3
-        if encoding is None:
-            return str(obj)
-        elif isinstance(obj, str):
-            # In case this function is not used properly, this could happen
-            return obj
-        else:
-            return str(obj, encoding)
-
-
-LARGE_SIZE = 5e5
-LARGE_NROWS = 1e5
-LARGE_COLS = 60
-
-class ArrayModel(QAbstractTableModel):
-    """Array Editor Table Model.
-
-    Parameters
-    ----------
-    data : array-like, optional
-        Input array that can be converted into a LArray 
-        (Numpy ndarray, Pandas Dataframe, list or tuple, ...).
-    format : str, optional
-        Indicates how data are represented in cells.
-        By default, they are represented as floats with 3 decimal points.
-    readonly : bool, optional
-        If True, data cannot be changed. False by default.
-    font : QFont, optional
-        Font. Default is `Calibri` with size 11.
-    parent : QWidget, optional
-        Parent Widget.
-    bg_gradient : LinearGradient, optional
-        Background color gradient
-    bg_value : LArray, optional
-        Background color value
-    minvalue : scalar
-        Minimum value allowed.
-    maxvalue : scalar
-        Maximum value allowed.
-    """
-
-    ROWS_TO_LOAD = 500
-    COLS_TO_LOAD = 40
-
-    def __init__(self, data=None, format="%.3f", readonly=False, font=None, parent=None, bg_gradient=None,
-                 bg_value=None, minvalue=None, maxvalue=None):
-        QAbstractTableModel.__init__(self)
-
-        self.dialog = parent
-        self.readonly = readonly
-        self._format = format
-
-        # Backgroundcolor settings
-        # TODO: use LinearGradient
-        # self.bgfunc = bgfunc
-        huerange = [.66, .99]  # Hue
-        self.sat = .7  # Saturation
-        self.val = 1.  # Value
-        self.alp = .6  # Alpha-channel
-        self.hue0 = huerange[0]
-        self.dhue = huerange[1] - huerange[0]
-        self.bgcolor_enabled = True
-        # hue = self.hue0
-        # color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
-        # self.color = to_qvariant(color)
-
-        if font is None:
-            font = get_font("arreditor")
-        self.font = font
-        bold_font = get_font("arreditor")
-        bold_font.setBold(True)
-        self.bold_font = bold_font
-
-        self.minvalue = minvalue
-        self.maxvalue = maxvalue
-        # TODO: check that data respects minvalue/maxvalue
-        self.set_data(data, bg_gradient=bg_gradient, bg_value=bg_value)
-
-    def get_format(self):
-        """Return current format"""
-        # Avoid accessing the private attribute _format from outside
-        return self._format
-
-    def get_data_2D(self):
-        """Return data"""
-        return self._data2D
-
-    def get_data(self):
-        return self.la_data
-
-    def set_data(self, data, changes=None, current_filter=None, bg_gradient=None, bg_value=None):
-        # ------------------- set changes -------------------
-        if changes is None:
-            changes = {}
-        assert isinstance(changes, dict)
-        self.changes = changes
-        self._changes2D = {}
-        # -------------------- set data ---------------------
-        if data is None:
-            data = np.empty((0, 0), dtype=np.int8)
-        la_data = la.aslarray(data)
-        if la_data.dtype.names is None:
-            dtn = la_data.dtype.name
-            if dtn not in SUPPORTED_FORMATS and not dtn.startswith('str') \
-                    and not dtn.startswith('unicode'):
-                QMessageBox.critical(self.dialog, "Error", "{} arrays are currently not supported".format(dtn))
-                return
-        # for complex numbers, shading will be based on absolute value
-        # but for all other types it will be the real part
-        # TODO: there are a lot more complex dtypes than this. Is there a way to get them all in one shot?
-        if la_data.dtype in (np.complex64, np.complex128):
-            self.color_func = np.abs
-        else:
-            # XXX: this is a no-op (it returns the array itself) for most types (I think all non complex types)
-            #      => use an explicit nop?
-            # def nop(v):
-            #     return v
-            # self.color_func = nop
-            self.color_func = np.real
-        self.la_data = la_data
-        # ------------ set bg gradient and value ------------
-        self.bg_gradient = bg_gradient
-        self.bg_value = bg_value
-        # ------ set current filter and data to display -----
-        if current_filter is None:
-            current_filter = {}
-        assert isinstance(current_filter, dict)
-        self.current_filter = current_filter
-        self._set_labels_and_data_to_display()
-        # ------------------- reset model -------------------
-        self.reset()
-
-    @property
-    def filtered_data(self):
-        return self.la_data[self.current_filter]
-
-    def _set_labels_and_data_to_display(self):
-        la_data = self.filtered_data
-        if np.isscalar(la_data):
-            la_data = la.aslarray(la_data)
-        ndim, shape, axes = la_data.ndim, la_data.shape, la_data.axes
-        # get 2D shape + xlabels + ylabels
-        if ndim == 0:
-            self.xlabels = [[], []]
-            self.ylabels = [[]]
-            shape_2D = (1, 1)
-        elif ndim == 1:
-            self.xlabels = [axes.display_names, axes.labels[-1]]
-            self.ylabels = [[]]
-            shape_2D = (1,) + shape
-        else:
-            self.xlabels = [axes.display_names, axes.labels[-1]]
-            otherlabels = axes.labels[:-1]
-            prod = Product(otherlabels)
-            self.ylabels = [_LazyNone(len(prod) + 1)] + [_LazyDimLabels(prod, i) for i in range(len(otherlabels))]
-            shape_2D = (np.prod(shape[:-1]), shape[-1])
-
-        # set data (reshape to a 2D array if not)
-        self._data2D = la_data.data.reshape(shape_2D)
-        self.total_rows, self.total_cols = shape_2D
-        size = self.total_rows * self.total_cols
-        self.reset_minmax()
-        # Use paging when the total size, number of rows or number of
-        # columns is too large
-        if size > LARGE_SIZE:
-            self.rows_loaded = min(self.ROWS_TO_LOAD, self.total_rows)
-            self.cols_loaded = min(self.COLS_TO_LOAD, self.total_cols)
-        else:
-            if self.total_rows > LARGE_NROWS:
-                self.rows_loaded = self.ROWS_TO_LOAD
-            else:
-                self.rows_loaded = self.total_rows
-            if self.total_cols > LARGE_COLS:
-                self.cols_loaded = self.COLS_TO_LOAD
-            else:
-                self.cols_loaded = self.total_cols
-        self._set_local_changes()
-
-    def _set_local_changes(self):
-        # we cannot apply the changes directly to data because it might be a view
-        local_changes = {}
-        for k, v in self.changes.items():
-            local_key = self.map_global_to_filtered(k)
-            if local_key is not None:
-                local_changes[local_key] = v
-        self._changes2D = local_changes
-
-    def reset_minmax(self):
-        # this will be awful to get right, because ideally, we should
-        # include self.changes.values() and ignore values corresponding to
-        # self.changes.keys()
-        data = self.get_values()
-        try:
-            color_value = self.color_func(data)
-            self.vmin = float(np.nanmin(color_value))
-            self.vmax = float(np.nanmax(color_value))
-            if self.vmax == self.vmin:
-                self.vmin -= 1
-            self.bgcolor_enabled = True
-        # ValueError for empty arrays
-        except (TypeError, ValueError):
-            self.vmin = None
-            self.vmax = None
-            self.bgcolor_enabled = False
-
-    def set_format(self, format):
-        """Change display format"""
-        self._format = format
-        self.reset()
-
-    def _index_to_position(self, index):
-        """
-        Cell at position (0, 0) contains the first data cell.
-        Negative position represents a label
-        """
-        i = index.row() - len(self.xlabels) + 1
-        j = index.column() - len(self.ylabels) + 1
-        return i, j
-
-    def _is_label(self, index):
-        i, j = self._index_to_position(index)
-        return i < 0 or j < 0
-
-    def _position_to_labels(self, position):
-        if isinstance(position, tuple) and len(position) == 2:
-            ki, kj = position
-            xlabel = [self.xlabels[i][kj] for i in range(1, len(self.xlabels))]
-            ylabel = [self.ylabels[j][ki] for j in range(1, len(self.ylabels))]
-            return tuple(ylabel + xlabel)
-        else:
-            QMessageBox.critical(self, "Error", "index must be a tuple of length 2")
-            return tuple()
-
-    def _position_to_dict_axes_ids_labels(self, position):
-        labels = self._position_to_labels(position)
-        axes_ids = list(self.filtered_data.axes.ids)
-        return dict(zip(axes_ids, labels))
-
-    def _dict_axes_ids_labels_to_position(self, dkey):
-        # transform (axis:label) dict key to positional ND key
-        try:
-            index_key = self.filtered_data._translated_key(dkey)
-        except ValueError:
-            return None
-        # transform positional ND key to positional 2D key
-        strides = np.append(1, np.cumprod(self.filtered_data.shape[1:-1][::-1]))[::-1]
-        return (index_key[:-1] * strides).sum(), index_key[-1]
-
-    def update_global_changes(self):
-        for k, v in self._changes2D.items():
-            self.changes[self.map_filtered_to_global(k)] = v
-
-    def map_filtered_to_global(self, k):
-        """
-        map local (filtered) 2D key to global ND key.
-
-        Parameters
-        ----------
-        k: tuple
-            Positional index (row, column) of the modified data cell.
-
-        Returns
-        -------
-        tuple
-            Labels associated with the modified element of the non-filtered array.
-        """
-        # transform local positional index key to (axis_ids: label) dictionary key.
-        # Contains only displayed axes
-        dkey = self._position_to_dict_axes_ids_labels(k)
-        # add the "scalar" parts of the filter to it (ie the parts of the
-        # filter which removed dimensions)
-        dkey.update({k: v for k, v in self.current_filter.items() if np.isscalar(v)})
-        # re-transform it to tuple (to make it hashable/to store it in .changes)
-        return tuple(dkey[axis_id] for axis_id in self.la_data.axes.ids)
-
-    def map_global_to_filtered(self, k):
-        """
-        map global ND key to local (filtered) 2D key
-
-        Parameters
-        ----------
-        k: tuple
-            Labels associated with the modified element of the non-filtered array.
-
-        Returns
-        -------
-        tuple
-            Positional index (row, column) of the modified data cell.
-        """
-        assert isinstance(k, tuple) and len(k) == self.la_data.ndim
-        dkey = {axis_id: axis_key for axis_key, axis_id in zip(k, self.la_data.axes.ids)}
-        # transform global dictionary key to "local" (filtered) key by removing
-        # the parts of the key which are redundant with the filter
-        for axis_id, axis_filter in self.current_filter.items():
-            axis_key = dkey[axis_id]
-            if np.isscalar(axis_filter) and axis_key == axis_filter:
-                del dkey[axis_id]
-            elif not np.isscalar(axis_filter) and axis_key in axis_filter:
-                pass
-            else:
-                # that key is invalid for/outside the current filter
-                return None
-        # transform local dictionary key to local positional 2D key
-        return self._dict_axes_ids_labels_to_position(dkey)
-
-    def change_filter(self, axis, indices):
-        # must be done before changing self.current_filter
-        self.update_global_changes()
-        cur_filter = self.current_filter
-        axis_id = self.la_data.axes.axis_id(axis)
-        if not indices or len(indices) == len(axis.labels):
-            if axis_id in cur_filter:
-                del cur_filter[axis_id]
-        else:
-            if len(indices) == 1:
-                cur_filter[axis_id] = axis.labels[indices[0]]
-            else:
-                cur_filter[axis_id] = axis.labels[indices]
-        self._set_labels_and_data_to_display()
-        return self.filtered_data
-
-    def accept_changes(self):
-        """Accept changes"""
-        self.update_global_changes()
-        axes = self.la_data.axes
-        for k, v in self.changes.items():
-            self.la_data.i[axes.translate_full_key(k)] = v
-        return self.la_data
-
-    def reject_changes(self):
-        """Reject changes"""
-        self.changes.clear()
-        # trigger view update
-        self._changes2D.clear()
-        self.reset_minmax()
-        self.reset()
-
-    def columnCount(self, qindex=QModelIndex()):
-        """Return array column number"""
-        return len(self.ylabels) - 1 + self.cols_loaded
-
-    def rowCount(self, qindex=QModelIndex()):
-        """Return array row number"""
-        return len(self.xlabels) - 1 + self.rows_loaded
-
-    def fetch_more_rows(self):
-        if self.total_rows > self.rows_loaded:
-            remainder = self.total_rows - self.rows_loaded
-            items_to_fetch = min(remainder, self.ROWS_TO_LOAD)
-            self.beginInsertRows(QModelIndex(), self.rows_loaded,
-                                 self.rows_loaded + items_to_fetch - 1)
-            self.rows_loaded += items_to_fetch
-            self.endInsertRows()
-
-    def fetch_more_columns(self):
-        if self.total_cols > self.cols_loaded:
-            remainder = self.total_cols - self.cols_loaded
-            items_to_fetch = min(remainder, self.COLS_TO_LOAD)
-            self.beginInsertColumns(QModelIndex(), self.cols_loaded,
-                                    self.cols_loaded + items_to_fetch - 1)
-            self.cols_loaded += items_to_fetch
-            self.endInsertColumns()
-
-    def bgcolor(self, state):
-        """Toggle backgroundcolor"""
-        self.bgcolor_enabled = state > 0
-        self.reset()
-
-    def get_labels(self, index):
-        if self._is_label(index):
-            return ""
-        dim_names = self.xlabels[0]
-        ndim = len(dim_names)
-        last_dim_labels = self.xlabels[1]
-        # ylabels[0] are empty
-        i, j = self._index_to_position(index)
-        labels = [self.ylabels[d + 1][i] for d in range(ndim - 1)] + \
-                 [last_dim_labels[j]]
-        return ", ".join("{}={}".format(dim_name, label)
-                         for dim_name, label in zip(dim_names, labels))
-
-    def get_value(self, index):
-        i, j = self._index_to_position(index)
-        if i < 0 and j < 0:
-            return ""
-        if i < 0:
-            return str(self.xlabels[i][j])
-        if j < 0:
-            return str(self.ylabels[j][i])
-        return self._changes2D.get((i, j), self._data2D[i, j])
-
-    def data(self, index, role=Qt.DisplayRole):
-        """Cell content"""
-        if not index.isValid():
-            return to_qvariant()
-        # if role == Qt.DecorationRole:
-        #     return ima.icon('editcopy')
-        # if role == Qt.DisplayRole:
-        #     return ""
-
-        if role == Qt.TextAlignmentRole:
-            if self._is_label(index):
-                return to_qvariant(int(Qt.AlignCenter | Qt.AlignVCenter))
-            else:
-                return to_qvariant(int(Qt.AlignRight | Qt.AlignVCenter))
-
-        elif role == Qt.FontRole:
-            if self._is_label(index):
-                return self.bold_font
-            else:
-                return self.font
-        # row, column = index.row(), index.column()
-        value = self.get_value(index)
-        if role == Qt.DisplayRole:
-            # if column == 0:
-            #     return to_qvariant(value)
-            if value is np.ma.masked:
-                return ''
-            # for headers
-            elif isinstance(value, str) and not isinstance(value, np.str_):
-                return value
-            else:
-                return to_qvariant(self._format % value)
-
-        elif role == Qt.BackgroundColorRole:
-            if self._is_label(index):
-                color = QColor(Qt.lightGray)
-                color.setAlphaF(.4)
-                return color
-            elif self.bgcolor_enabled and value is not np.ma.masked:
-                if self.bg_gradient is None:
-                    maxdiff = self.vmax - self.vmin
-                    color_val = float(self.color_func(value))
-                    hue = self.hue0 + self.dhue * (self.vmax - color_val) / maxdiff
-                    color = QColor.fromHsvF(hue, self.sat, self.val, self.alp)
-                    return to_qvariant(color)
-                else:
-                    bg_value = self.bg_value
-                    x, y = self._index_to_position(index)
-                    # FIXME: this is buggy on filtered data. We should change
-                    # bg_value when changing the filter.
-                    idx = y + x * bg_value.shape[-1]
-                    value = bg_value.data.flat[idx]
-                    return self.bg_gradient[value]
-        elif role == Qt.ToolTipRole:
-            return to_qvariant("{}\n{}".format(repr(value),self.get_labels(index)))
-        return to_qvariant()
-
-    def get_values(self, left=0, top=0, right=None, bottom=None):
-        width, height = self.total_rows, self.total_cols
-        if right is None:
-            right = width
-        if bottom is None:
-            bottom = height
-        values = self._data2D[left:right, top:bottom].copy()
-        # both versions get the same result, but depending on inputs, the
-        # speed difference can be large.
-        changes2D = self._changes2D
-        if values.size < len(changes2D):
-            for i in range(left, right):
-                for j in range(top, bottom):
-                    pos = i, j
-                    if pos in changes2D:
-                        values[i - left, j - top] = changes2D[pos]
-        else:
-            for (i, j), value in changes2D.items():
-                if left <= i < right and top <= j < bottom:
-                    values[i - left, j - top] = value
-        return values
-
-    def convert_value(self, value):
-        """
-        Parameters
-        ----------
-        value : str
-        """
-        dtype = self._data2D.dtype
-        if dtype.name == "bool":
-            try:
-                return bool(float(value))
-            except ValueError:
-                return value.lower() == "true"
-        elif dtype.name.startswith("string"):
-            return str(value)
-        elif dtype.name.startswith("unicode"):
-            return to_text_string(value)
-        elif is_float(dtype):
-            return float(value)
-        elif is_number(dtype):
-            return int(value)
-        else:
-            return complex(value)
-
-    def convert_values(self, values):
-        values = np.asarray(values)
-        res = np.empty_like(values, dtype=self._data2D.dtype)
-        try:
-            # TODO: use array/vectorized conversion functions (but watch out
-            # for bool)
-            # new_data = str_array.astype(data.dtype)
-            for i, v in enumerate(values.flat):
-                res.flat[i] = self.convert_value(v)
-        except ValueError as e:
-            QMessageBox.critical(self.dialog, "Error",
-                                 "Value error: %s" % str(e))
-            return None
-        except OverflowError as e:
-            QMessageBox.critical(self.dialog, "Error",
-                                 "Overflow error: %s" % e.message)
-            return None
-        return res
-
-    def set_values(self, left, top, right, bottom, values):
-        """
-        Parameters
-        ----------
-        left : int
-        top : int
-        right : int
-            exclusive
-        bottom : int
-            exclusive
-        values : ndarray
-            must not be of the correct type
-
-        Returns
-        -------
-        tuple of QModelIndex or None
-            actual bounds (end bound is inclusive) if update was successful,
-            None otherwise
-        """
-        values = self.convert_values(values)
-        if values is None:
-            return
-        values = np.atleast_2d(values)
-        vshape = values.shape
-        vwidth, vheight = vshape
-        width, height = right - left, bottom - top
-        assert vwidth == 1 or vwidth == width
-        assert vheight == 1 or vheight == height
-
-        # Add change to self.changes
-        # requires numpy 1.10
-        newvalues = np.broadcast_to(values, (width, height))
-        oldvalues = np.empty_like(newvalues)
-        for i in range(width):
-            for j in range(height):
-                pos = left + i, top + j
-                old_value = self._changes2D.get(pos, self._data2D[pos])
-                oldvalues[i, j] = old_value
-                val = newvalues[i, j]
-                if val != old_value:
-                    self._changes2D[pos] = val
-
-        # Update vmin/vmax if necessary
-        if self.vmin is not None and self.vmax is not None:
-            colorval = self.color_func(values)
-            old_colorval = self.color_func(oldvalues)
-            if np.any(((old_colorval == self.vmax) & (colorval < self.vmax)) |
-                      ((old_colorval == self.vmin) & (colorval > self.vmin))):
-                self.reset_minmax()
-            if np.any(colorval > self.vmax):
-                self.vmax = float(np.nanmax(colorval))
-            if np.any(colorval < self.vmin):
-                self.vmin = float(np.nanmin(colorval))
-
-        xoffset = len(self.xlabels) - 1
-        yoffset = len(self.ylabels) - 1
-        top_left = self.index(left + xoffset, top + yoffset)
-        # -1 because Qt index end bounds are inclusive
-        bottom_right = self.index(right + xoffset - 1, bottom + yoffset - 1)
-        self.dataChanged.emit(top_left, bottom_right)
-        return top_left, bottom_right
-
-    def setData(self, index, value, role=Qt.EditRole):
-        """Cell content change"""
-        if not index.isValid() or self.readonly:
-            return False
-        i, j = self._index_to_position(index)
-        result = self.set_values(i, j, i + 1, j + 1, from_qvariant(value, str))
-        return result is not None
-
-    def flags(self, index):
-        """Set editable flag"""
-        if not index.isValid():
-            return Qt.ItemIsEnabled
-        if self._is_label(index):
-            return Qt.ItemIsEnabled #QAbstractTableModel.flags(self, index)
-        flags = QAbstractTableModel.flags(self, index)
-        if not self.readonly:
-            flags |= Qt.ItemIsEditable
-        return Qt.ItemFlags(flags)
-
-    def headerData(self, section, orientation, role=Qt.DisplayRole):
-        """Set header data"""
-        horizontal = orientation == Qt.Horizontal
-        # if role == Qt.ToolTipRole:
-        #     if horizontal:
-        #         return to_qvariant("horiz %d" % section)
-        #     else:
-        #         return to_qvariant("vert %d" % section)
-        if role != Qt.DisplayRole:
-            # roles = {0: "display", 2: "edit",
-            #          8: "background", 9: "foreground",
-            #          13: "sizehint", 4: "statustip", 11: "accessibletext",
-            #          1: "decoration", 6: "font", 7: "textalign",
-            #          10: "checkstate"}
-            # print("section", section, "ori", orientation,
-            #       "role", roles.get(role, role), "result",
-            #       super(ArrayModel, self).headerData(section, orientation,
-            #                                          role))
-            return to_qvariant()
-
-        labels, other = self.xlabels, self.ylabels
-        if not horizontal:
-            labels, other = other, labels
-        if labels is None:
-            shape = self._data2D.shape
-            # prefer a blank cell to one cell named "0"
-            if not shape or shape[int(horizontal)] == 1:
-                return to_qvariant()
-            else:
-                return to_qvariant(int(section))
-        else:
-            if section < len(labels[0]):
-                return to_qvariant(labels[0][section])
-            #     #section = section - len(other) + 1
-            else:
-                return to_qvariant()
-
-            # return to_qvariant(labels[0][section])
-            # if len(other) - 1 <= section < len(labels[0]):
-            #     #section = section - len(other) + 1
-            # else:
-            #     return to_qvariant("a")
-
-    def reset(self):
-        self.beginResetModel()
-        self.endResetModel()
-
-
-class Product(object):
-    """
-    Represents the `cartesian product` of several arrays.
-
-    Parameters
-    ----------
-    arrays : iterable of array
-        List of arrays on which to apply the cartesian product.
-
-    Examples
-    --------
-    >>> p = Product([['a', 'b', 'c'], [1, 2]])
-    >>> for i in range(len(p)):
-    ...     print(p[i])
-    ('a', 1)
-    ('a', 2)
-    ('b', 1)
-    ('b', 2)
-    ('c', 1)
-    ('c', 2)
-    >>> p[1:4]
-    [('a', 2), ('b', 1), ('b', 2)]
-    >>> list(p)
-    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
-    """
-    def __init__(self, arrays):
-        self.arrays = arrays
-        assert len(arrays)
-        shape = [len(a) for a in self.arrays]
-        self.div_mod = [(int(np.prod(shape[i + 1:])), shape[i])
-                        for i in range(len(shape))]
-        self.length = np.prod(shape)
-
-    def to_tuple(self, key):
-        if key >= self.length:
-            raise IndexError("index %d out of range for Product of length %d" % (key, self.length))
-        return tuple(key // div % mod for div, mod in self.div_mod)
-
-    def __len__(self):
-        return self.length
-
-    def __getitem__(self, key):
-        if isinstance(key, (int, np.integer)):
-            return tuple(array[i]
-                         for array, i in zip(self.arrays, self.to_tuple(key)))
-        else:
-            assert isinstance(key, slice), \
-                "key (%s) has invalid type (%s)" % (key, type(key))
-            start, stop, step = key.start, key.stop, key.step
-            if start is None:
-                start = 0
-            if stop is None:
-                stop = self.length
-            if step is None:
-                step = 1
-
-            return [tuple(array[i]
-                          for array, i in zip(self.arrays, self.to_tuple(i)))
-                    for i in range(start, stop, step)]
-
-
-class _LazyLabels(object):
-    def __init__(self, arrays):
-        self.prod = Product(arrays)
-
-    def __getitem__(self, key):
-        return ' '.join(self.prod[key])
-
-    def __len__(self):
-        return len(self.prod)
-
-
-class _LazyDimLabels(object):
-    """
-    Examples
-    --------
-    >>> p = Product([['a', 'b', 'c'], [1, 2]])
-    >>> list(p)
-    [('a', 1), ('a', 2), ('b', 1), ('b', 2), ('c', 1), ('c', 2)]
-    >>> l0 = _LazyDimLabels(p, 0)
-    >>> l1 = _LazyDimLabels(p, 1)
-    >>> for i in range(len(p)):
-    ...     print(l0[i], l1[i])
-    a 1
-    a 2
-    b 1
-    b 2
-    c 1
-    c 2
-    >>> l0[1:4]
-    ['a', 'b', 'b']
-    >>> l1[1:4]
-    [2, 1, 2]
-    >>> list(l0)
-    ['a', 'a', 'b', 'b', 'c', 'c']
-    >>> list(l1)
-    [1, 2, 1, 2, 1, 2]
-    """
-    def __init__(self, prod, i):
-        self.prod = prod
-        self.i = i
-
-    def __iter__(self):
-        return iter(self.prod[i][self.i] for i in range(len(self.prod)))
-
-    def __getitem__(self, key):
-        key_prod = self.prod[key]
-        if isinstance(key, slice):
-            return [p[self.i] for p in key_prod]
-        else:
-            return key_prod[self.i]
-
-    def __len__(self):
-        return len(self.prod)
-
-
-class _LazyRange(object):
-    def __init__(self, length, offset):
-        self.length = length
-        self.offset = offset
-
-    def __getitem__(self, key):
-        if key >= self.offset:
-            return key - self.offset
-        else:
-            return ''
-
-    def __len__(self):
-        return self.length + self.offset
-
-
-class _LazyNone(object):
-    def __init__(self, length):
-        self.length = length
-
-    def __getitem__(self, key):
-        return ' '
-
-    def __len__(self):
-        return self.length
diff --git a/larray/viewer/view.py b/larray/viewer/view.py
deleted file mode 100644
index a9e963b94..000000000
--- a/larray/viewer/view.py
+++ /dev/null
@@ -1,1819 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# Copyright © 2009-2012 Pierre Raybaut
-# Copyright © 2015-2016 Gaëtan de Menten
-# Licensed under the terms of the MIT License
-
-# based on
-# github.com/spyder-ide/spyder/blob/master/spyderlib/widgets/arrayeditor.py
-
-"""
-Array Editor Dialog based on Qt
-"""
-
-# pylint: disable=C0103
-# pylint: disable=R0903
-# pylint: disable=R0911
-# pylint: disable=R0201
-
-# Note that the canonical way to implement filters in a TableView would
-# be to use a QSortFilterProxyModel. In this case, we would need to reimplement
-# its filterAcceptsColumn and filterAcceptsRow methods. The problem is that
-# it does seem to be really designed for very large arrays and it would
-# probably be too slow on those (I have read quite a few people complaining
-# about speed issues with those) possibly because it suppose you have the whole
-# array in your model. It would also probably not play well with the
-# partial/progressive load we have currently implemented.
-
-# TODO:
-# * drag & drop to reorder axes
-#   http://zetcode.com/gui/pyqt4/dragdrop/
-#   http://stackoverflow.com/questions/10264040/
-#       how-to-drag-and-drop-into-a-qtablewidget-pyqt
-#   http://stackoverflow.com/questions/3458542/multiple-drag-and-drop-in-pyqt4
-#   http://ux.stackexchange.com/questions/34158/
-#       how-to-make-it-obvious-that-you-can-drag-things-that-you-normally-cant
-# * keep header columns & rows visible ("frozen")
-#   http://doc.qt.io/qt-5/qtwidgets-itemviews-frozencolumn-example.html
-# * document default icons situation (limitations)
-# * document paint speed experiments
-# * filter on headers. In fact this is not a good idea, because that prevents
-#   selecting whole columns, which is handy. So a separate row for headers,
-#   like in Excel seems better.
-# * tooltip on header with current filter
-
-# * selection change -> select headers too
-# * nicer error on plot with more than one row/column
-#   OR
-# * plotting a subset should probably (to think) go via LArray/pandas objects
-#   so that I have the headers info in the plots (and do not have to deal with
-#   them manually)
-#   > ideally, I would like to keep this generic (not LArray-specific)
-# ? automatic change digits on resize column
-#   => different format per column, which is problematic UI-wise
-# * keyboard shortcut for filter each dim
-# * tab in a filter combo, brings up next filter combo
-# * view/edit DataFrames too
-# * view/edit LArray over Pandas (ie sparse)
-# * resubmit editor back for inclusion in Spyder
-# ? custom delegates for each type (spinner for int, checkbox for bool, ...)
-# ? "light" headers (do not repeat the same header several times (on the screen)
-#   it would be nicer but I am not sure it is a good idea because with many
-#   dimensions, you can no longer see the current label for the first
-#   dimension(s) if you scroll down a bit. This is solvable if, instead
-#   of only the first line ever corresponding to the label displaying it,
-#   I could make it so that it is the first line displayable on the screen
-#   which gets it. It would be a bit less nice because of strange artifacts
-#   when scrolling, but would be more useful. The beauty problem could be
-#   solved later too via fading or something like that, but probably not
-#   worth it for a while.
-
-from __future__ import print_function
-
-import math
-import os
-import re
-import sys
-from itertools import chain
-
-import numpy as np
-from qtpy import PYQT5
-from qtpy.QtCore import (Qt, QPoint, QItemSelection, QItemSelectionModel, QItemSelectionRange, QSettings,
-                         QUrl, Slot)
-from qtpy.QtGui import (QColor, QDoubleValidator, QIntValidator, QKeySequence, QDesktopServices,
-                        QIcon, QFontMetrics, QCursor)
-from qtpy.QtWidgets import (QApplication, QHBoxLayout, QTableView, QItemDelegate, QListWidget, QSplitter,
-                            QListWidgetItem, QLineEdit, QCheckBox, QGridLayout, QFileDialog, QDialog,
-                            QDialogButtonBox, QPushButton, QMessageBox, QMenu, QMainWindow, QLabel,
-                            QSpinBox, QWidget, QVBoxLayout, QAction, QStyle, QToolTip, QShortcut)
-
-try:
-    import matplotlib
-    from matplotlib.figure import Figure
-
-    if PYQT5:
-        from matplotlib.backends.backend_qt5agg import FigureCanvas
-        from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
-    else:
-        from matplotlib.backends.backend_qt4agg import FigureCanvas
-        from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
-
-    matplotlib_present = True
-except ImportError:
-    matplotlib_present = False
-
-try:
-    import xlwings as xw
-except ImportError:
-    xw = None
-
-try:
-    from qtconsole.rich_jupyter_widget import RichJupyterWidget
-    from qtconsole.inprocess import QtInProcessKernelManager
-    from IPython import get_ipython
-
-    ipython_instance = get_ipython()
-
-    # Having several instances of IPython of different types in the same
-    # process are not supported. We use
-    # ipykernel.inprocess.ipkernel.InProcessInteractiveShell
-    # and qtconsole and notebook use
-    # ipykernel.zmqshell.ZMQInteractiveShell, so this cannot work.
-    # For now, we simply fallback to not using IPython if we are run
-    # from IPython (whether qtconsole or notebook). The correct solution is
-    # probably to run the IPython console in a different process but I do not
-    # know what would be the consequences. I fear it could be slow to transfer
-    # the session data to the other process.
-    if ipython_instance is None:
-        qtconsole_available = True
-    else:
-        qtconsole_available = False
-except ImportError:
-    qtconsole_available = False
-
-from larray.viewer.model import ArrayModel, _, get_font, from_qvariant, to_qvariant, is_float, is_number
-
-from larray.viewer.combo import FilterComboBox, FilterMenu
-import larray as la
-
-PY2 = sys.version[0] == '2'
-REOPEN_LAST_FILE = object()
-
-
-# Spyder compat
-# -------------
-
-class IconManager(object):
-
-    _icons = {'larray': 'larray.ico'}
-    _icon_dir = os.path.join(os.path.dirname(os.path.realpath(la.__file__)), 'images')
-
-    def icon(self, ref):
-        if ref in self._icons:
-            icon_path = os.path.join(self._icon_dir, self._icons[ref])
-            return QIcon(icon_path)
-        else:
-        # By default, only X11 will support themed icons. In order to use
-        # themed icons on Mac and Windows, you will have to bundle a compliant
-        # theme in one of your PySide.QtGui.QIcon.themeSearchPaths() and set the
-        # appropriate PySide.QtGui.QIcon.themeName() .
-            return QIcon.fromTheme(ref)
-
-ima = IconManager()
-
-
-def keybinding(attr):
-    """Return keybinding"""
-    ks = getattr(QKeySequence, attr)
-    return QKeySequence.keyBindings(ks)[0]
-
-
-def create_action(parent, text, icon=None, triggered=None, shortcut=None, statustip=None):
-    """Create a QAction"""
-    action = QAction(text, parent)
-    if triggered is not None:
-        action.triggered.connect(triggered)
-    if icon is not None:
-        action.setIcon(icon)
-    if shortcut is not None:
-        action.setShortcut(shortcut)
-    if statustip is not None:
-        action.setStatusTip(statustip)
-    # action.setShortcutContext(Qt.WidgetShortcut)
-    return action
-
-def clear_layout(layout):
-    for i in reversed(range(layout.count())):
-        item = layout.itemAt(i)
-        widget = item.widget()
-        if widget is not None:
-            # widget.setParent(None)
-            widget.deleteLater()
-        layout.removeItem(item)
-
-def get_idx_rect(index_list):
-    """Extract the boundaries from a list of indexes"""
-    rows = [i.row() for i in index_list]
-    cols = [i.column() for i in index_list]
-    return min(rows), max(rows), min(cols), max(cols)
-
-
-class ArrayDelegate(QItemDelegate):
-    """Array Editor Item Delegate"""
-    def __init__(self, dtype, parent=None, font=None,
-                 minvalue=None, maxvalue=None):
-        QItemDelegate.__init__(self, parent)
-        self.dtype = dtype
-        if font is None:
-            font = get_font('arrayeditor')
-        self.font = font
-        self.minvalue = minvalue
-        self.maxvalue = maxvalue
-
-        # We must keep a count instead of the "current" one, because when
-        # switching from one cell to the next, the new editor is created
-        # before the old one is destroyed, which means it would be set to None
-        # when the old one is destroyed.
-        self.editor_count = 0
-
-    def createEditor(self, parent, option, index):
-        """Create editor widget"""
-        model = index.model()
-        value = model.get_value(index)
-        if self.dtype.name == "bool":
-            # toggle value
-            value = not value
-            model.setData(index, to_qvariant(value))
-            return
-        elif value is not np.ma.masked:
-            minvalue, maxvalue = self.minvalue, self.maxvalue
-            if minvalue is not None and maxvalue is not None:
-                msg = "value must be between %s and %s" % (minvalue, maxvalue)
-            elif minvalue is not None:
-                msg = "value must be >= %s" % minvalue
-            elif maxvalue is not None:
-                msg = "value must be <= %s" % maxvalue
-            else:
-                msg = None
-
-            # Not using a QSpinBox for integer inputs because I could not find
-            # a way to prevent the spinbox/editor from closing if the value is
-            # invalid. Using the builtin minimum/maximum of the spinbox works
-            # but that provides no message so it is less clear.
-            editor = QLineEdit(parent)
-            if is_number(self.dtype):
-                validator = QDoubleValidator(editor) if is_float(self.dtype) \
-                    else QIntValidator(editor)
-                if minvalue is not None:
-                    validator.setBottom(minvalue)
-                if maxvalue is not None:
-                    validator.setTop(maxvalue)
-                editor.setValidator(validator)
-
-                def on_editor_text_edited():
-                    if not editor.hasAcceptableInput():
-                        QToolTip.showText(editor.mapToGlobal(QPoint()), msg)
-                    else:
-                        QToolTip.hideText()
-                if msg is not None:
-                    editor.textEdited.connect(on_editor_text_edited)
-
-            editor.setFont(self.font)
-            editor.setAlignment(Qt.AlignRight)
-            editor.destroyed.connect(self.on_editor_destroyed)
-            self.editor_count += 1
-            return editor
-
-    def on_editor_destroyed(self):
-        self.editor_count -= 1
-        assert self.editor_count >= 0
-
-    def setEditorData(self, editor, index):
-        """Set editor widget's data"""
-        text = from_qvariant(index.model().data(index, Qt.DisplayRole), str)
-        editor.setText(text)
-
-
-class ArrayView(QTableView):
-    """Array view class"""
-    def __init__(self, parent, model, dtype, shape):
-        QTableView.__init__(self, parent)
-
-        self.setModel(model)
-        delegate = ArrayDelegate(dtype, self,
-                                 minvalue=model.minvalue,
-                                 maxvalue=model.maxvalue)
-        self.setItemDelegate(delegate)
-        self.setSelectionMode(QTableView.ContiguousSelection)
-
-        self.shape = shape
-        self.context_menu = self.setup_context_menu()
-
-        # TODO: find a cleaner way to do this
-        # For some reason the shortcuts in the context menu are not available if the widget does not have the focus,
-        # EVEN when using action.setShortcutContext(Qt.ApplicationShortcut) (or Qt.WindowShortcut) so we redefine them
-        # here. I was also unable to get the function an action.triggered is connected to, so I couldn't do this via
-        # a loop on self.context_menu.actions.
-        shortcuts = [
-            (keybinding('Copy'), self.copy),
-            (QKeySequence("Ctrl+E"), self.to_excel),
-            (keybinding('Paste'), self.paste),
-            (keybinding('Print'), self.plot)
-        ]
-        for key_seq, target in shortcuts:
-            shortcut = QShortcut(key_seq, self)
-            shortcut.activated.connect(target)
-
-        # make the grid a bit more compact
-        self.horizontalHeader().setDefaultSectionSize(64)
-        self.verticalHeader().setDefaultSectionSize(20)
-
-        self.horizontalScrollBar().valueChanged.connect(
-            self.on_horizontal_scroll_changed)
-        self.verticalScrollBar().valueChanged.connect(
-            self.on_vertical_scroll_changed)
-        # self.horizontalHeader().sectionClicked.connect(
-        #     self.on_horizontal_header_clicked)
-
-    def on_horizontal_header_clicked(self, section_index):
-        menu = FilterMenu(self)
-        header = self.horizontalHeader()
-        headerpos = self.mapToGlobal(header.pos())
-        posx = headerpos.x() + header.sectionPosition(section_index)
-        posy = headerpos.y() + header.height()
-        menu.exec_(QPoint(posx, posy))
-
-    def on_vertical_scroll_changed(self, value):
-        if value == self.verticalScrollBar().maximum():
-            self.model().fetch_more_rows()
-
-    def on_horizontal_scroll_changed(self, value):
-        if value == self.horizontalScrollBar().maximum():
-            self.model().fetch_more_columns()
-
-    def setup_context_menu(self):
-        """Setup context menu"""
-        self.copy_action = create_action(self, _('Copy'),
-                                         shortcut=keybinding('Copy'),
-                                         icon=ima.icon('edit-copy'),
-                                         triggered=self.copy)
-        self.excel_action = create_action(self, _('Copy to Excel'),
-                                          shortcut="Ctrl+E",
-                                          # icon=ima.icon('edit-copy'),
-                                          triggered=self.to_excel)
-        self.paste_action = create_action(self, _('Paste'),
-                                          shortcut=keybinding('Paste'),
-                                          icon=ima.icon('edit-paste'),
-                                          triggered=self.paste)
-        self.plot_action = create_action(self, _('Plot'),
-                                         shortcut=keybinding('Print'),
-                                         # icon=ima.icon('editcopy'),
-                                         triggered=self.plot)
-        menu = QMenu(self)
-        menu.addActions([self.copy_action, self.excel_action, self.plot_action,
-                         self.paste_action])
-        return menu
-
-    def autofit_columns(self):
-        """Resize cells to contents"""
-        QApplication.setOverrideCursor(QCursor(Qt.WaitCursor))
-
-        # Spyder loads more columns before resizing, but since it does not
-        # load all columns anyway, I do not see the point
-        # self.model().fetch_more_columns()
-        self.resizeColumnsToContents()
-        QApplication.restoreOverrideCursor()
-
-    def contextMenuEvent(self, event):
-        """Reimplement Qt method"""
-        self.context_menu.popup(event.globalPos())
-        event.accept()
-
-    def keyPressEvent(self, event):
-        """Reimplement Qt method"""
-
-        # comparing with the keysequence and not with event directly as we
-        # did before because that only seems to work for shortcut
-        # defined using QKeySequence.StandardKey, which is not the case for
-        # Ctrl + E
-        keyseq = QKeySequence(event.modifiers() | event.key())
-        if keyseq == QKeySequence.Copy:
-            self.copy()
-        elif keyseq == QKeySequence.Paste:
-            self.paste()
-        elif keyseq == QKeySequence.Print:
-            self.plot()
-        elif keyseq == "Ctrl+E":
-            self.to_excel()
-        # allow to start editing cells by pressing Enter
-        elif event.key() == Qt.Key_Return and not self.model().readonly:
-            index = self.currentIndex()
-            if self.itemDelegate(index).editor_count == 0:
-                self.edit(index)
-        else:
-            QTableView.keyPressEvent(self, event)
-
-    def _selection_bounds(self, none_selects_all=True):
-        """
-        Returns
-        -------
-        tuple
-            selection bounds. end bound is exclusive
-        """
-        model = self.model()
-        selection_model = self.selectionModel()
-        assert isinstance(selection_model, QItemSelectionModel)
-        selection = selection_model.selection()
-        assert isinstance(selection, QItemSelection)
-        if not selection:
-            if none_selects_all:
-                return 0, model.total_rows, 0, model.total_cols
-            else:
-                return None
-        assert len(selection) == 1
-        srange = selection[0]
-        assert isinstance(srange, QItemSelectionRange)
-        xoffset = len(self.model().xlabels) - 1
-        yoffset = len(self.model().ylabels) - 1
-        row_min = max(srange.top() - xoffset, 0)
-        row_max = max(srange.bottom() - xoffset, 0)
-        col_min = max(srange.left() - yoffset, 0)
-        col_max = max(srange.right() - yoffset, 0)
-        # if not all rows/columns have been loaded
-        if row_min == 0 and row_max == self.model().rows_loaded - 1:
-            row_max = self.model().total_rows - 1
-        if col_min == 0 and col_max == self.model().cols_loaded - 1:
-            col_max = self.model().total_cols - 1
-        return row_min, row_max + 1, col_min, col_max + 1
-
-    def _selection_data(self, headers=True, none_selects_all=True):
-        """
-        Returns an iterator over selected labels and data
-        if headers=True and a Numpy ndarray containing only
-        the data otherwise.
-
-        Parameters
-        ----------
-        headers : bool, optional
-            Labels are also returned if True.
-        none_selects_all : bool, optional
-            If True (default) and selection is empty, returns all data.
-
-        Returns
-        -------
-        numpy.ndarray or itertools.chain
-        """
-        bounds = self._selection_bounds(none_selects_all=none_selects_all)
-        if bounds is None:
-            return None
-        row_min, row_max, col_min, col_max = bounds
-        raw_data = self.model().get_values(row_min, col_min, row_max, col_max)
-        if headers:
-            xlabels = self.model().xlabels
-            ylabels = self.model().ylabels
-            # FIXME: this is extremely ad-hoc. We should either use
-            # model.data.ndim (orig_ndim?) or add a new concept (eg dim_names)
-            # in addition to xlabels & ylabels,
-            # TODO: in the future (pandas-based branch) we should use
-            # to_string(data[self._selection_filter()])
-            dim_names = xlabels[0]
-            if len(dim_names) > 1:
-                dim_headers = dim_names[:-2] + [dim_names[-2] + ' \\ ' +
-                                                dim_names[-1]]
-            else:
-                dim_headers = dim_names
-            topheaders = [dim_headers + list(xlabels[i][col_min:col_max])
-                          for i in range(1, len(xlabels))]
-            if not dim_names:
-                return raw_data
-            elif len(dim_names) == 1:
-                # 1 dimension
-                return chain(topheaders, [chain([''], row) for row in raw_data])
-            else:
-                # >1 dimension
-                assert len(dim_names) > 1
-                return chain(topheaders,
-                             [chain([ylabels[j][r + row_min]
-                                     for j in range(1, len(ylabels))],
-                                    row)
-                              for r, row in enumerate(raw_data)])
-        else:
-            return raw_data
-
-    @Slot()
-    def copy(self):
-        """Copy selection as text to clipboard"""
-        data = self._selection_data()
-        if data is None:
-            return
-
-        # np.savetxt make things more complicated, especially on py3
-        # XXX: why don't we use repr for everything?
-        def vrepr(v):
-            if isinstance(v, float):
-                return repr(v)
-            else:
-                return str(v)
-        text = '\n'.join('\t'.join(vrepr(v) for v in line) for line in data)
-        clipboard = QApplication.clipboard()
-        clipboard.setText(text)
-
-    @Slot()
-    def to_excel(self):
-        """View selection in Excel"""
-        if xw is None:
-            raise Exception("to_excel() is not available because xlwings is "
-                            "not installed")
-        data = self._selection_data()
-        if data is None:
-            return
-        # convert (row) generators to lists then array
-        # TODO: the conversion to array is currently necessary even though xlwings will translate it back to a list
-        #       anyway. The problem is that our lists contains numpy types and especially np.str_ crashes xlwings.
-        #       unsure how we should fix this properly: in xlwings, or change _selection_data to return only standard
-        #       Python types.
-        xw.view(np.array([list(r) for r in data]))
-
-    @Slot()
-    def paste(self):
-        model = self.model()
-        bounds = self._selection_bounds()
-        if bounds is None:
-            return
-        row_min, row_max, col_min, col_max = bounds
-        clipboard = QApplication.clipboard()
-        text = str(clipboard.text())
-        list_data = [line.split('\t') for line in text.splitlines()]
-        try:
-            # take the first cell which contains '\'
-            pos_last = next(i for i, v in enumerate(list_data[0]) if '\\' in v)
-        except StopIteration:
-            # if there isn't any, assume 1d array
-            pos_last = 0
-        if pos_last:
-            # ndim > 1
-            list_data = [line[pos_last + 1:] for line in list_data[1:]]
-        elif len(list_data) == 2 and list_data[1][0] == '':
-            # ndim == 1
-            list_data = [list_data[1][1:]]
-        new_data = np.array(list_data)
-        if new_data.shape[0] > 1:
-            row_max = row_min + new_data.shape[0]
-        if new_data.shape[1] > 1:
-            col_max = col_min + new_data.shape[1]
-
-        result = model.set_values(row_min, col_min, row_max, col_max, new_data)
-        if result is None:
-            return
-
-        # TODO: when pasting near bottom/right boundaries and size of
-        # new_data exceeds destination size, we should either have an error
-        # or clip new_data
-        self.selectionModel().select(QItemSelection(*result),
-                                     QItemSelectionModel.ClearAndSelect)
-
-    def plot(self):
-        if not matplotlib_present:
-            raise Exception("plot() is not available because matplotlib is not installed")
-        data = self._selection_data(headers=False)
-        if data is None:
-            return
-
-        row_min, row_max, col_min, col_max = self._selection_bounds()
-        dim_names = self.model().xlabels[0]
-        # label for each selected column
-        xlabels = self.model().xlabels[1][col_min:col_max]
-        # list of selected labels for each index column
-        labels_per_index_column = [col_labels[row_min:row_max] for col_labels in self.model().ylabels[1:]]
-        # list of (str) label for each selected row
-        ylabels = [[str(label) for label in row_labels]
-                   for row_labels in zip(*labels_per_index_column)]
-        # if there is only one dimension, ylabels is empty
-        if not ylabels:
-            ylabels = [[]]
-
-        assert data.ndim == 2
-
-        figure = Figure()
-
-        # create an axis
-        ax = figure.add_subplot(111)
-
-        if data.shape[1] == 1:
-            # plot one column
-            xlabel = ','.join(dim_names[:-1])
-            xticklabels = ['\n'.join(ylabels[row]) for row in range(row_max - row_min)]
-            xdata = np.arange(row_max - row_min)
-            ax.plot(xdata, data[:, 0])
-            ax.set_ylabel(xlabels[0])
-        else:
-            # plot each row as a line
-            xlabel = dim_names[-1]
-            xticklabels = [str(label) for label in xlabels]
-            xdata = np.arange(col_max - col_min)
-            for row in range(len(data)):
-                ax.plot(xdata, data[row], label=' '.join(ylabels[row]))
-
-        # set x axis
-        ax.set_xlabel(xlabel)
-        ax.set_xlim((xdata[0], xdata[-1]))
-        # we need to do that because matplotlib is smart enough to
-        # not show all ticks but a selection. However, that selection
-        # may include ticks outside the range of x axis
-        xticks = [t for t in ax.get_xticks().astype(int) if t <= len(xticklabels) - 1]
-        xticklabels = [xticklabels[t] for t in xticks]
-        ax.set_xticks(xticks)
-        ax.set_xticklabels(xticklabels)
-
-        if data.shape[1] != 1 and ylabels != [[]]:
-            # set legend
-            # box = ax.get_position()
-            # ax.set_position([box.x0, box.y0, box.width * 0.85, box.height])
-            # ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
-            ax.legend()
-
-        canvas = FigureCanvas(figure)
-        main = PlotDialog(canvas, self)
-        main.show()
-
-
-class PlotDialog(QDialog):
-    def __init__(self, canvas, parent=None):
-        super(PlotDialog, self).__init__(parent)
-
-        toolbar = NavigationToolbar(canvas, self)
-
-        # set the layout
-        layout = QVBoxLayout()
-        layout.addWidget(toolbar)
-        layout.addWidget(canvas)
-        self.setLayout(layout)
-        canvas.draw()
-
-
-def ndigits(value):
-    """
-    number of integer digits
-
-    >>> ndigits(1)
-    1
-    >>> ndigits(99)
-    2
-    >>> ndigits(-99.1)
-    3
-    """
-    negative = value < 0
-    value = abs(value)
-    log10 = math.log10(value) if value > 0 else 0
-    if log10 == np.inf:
-        int_digits = 308
-    else:
-        # max(1, ...) because there is at least one integer digit.
-        # explicit conversion to int for Python2.x
-        int_digits = max(1, int(math.floor(log10)) + 1)
-    # one digit for sign if negative
-    return int_digits + negative
-
-
-class ArrayEditorWidget(QWidget):
-    def __init__(self, parent, data, readonly=False, bg_value=None, bg_gradient=None, minvalue=None, maxvalue=None):
-        QWidget.__init__(self, parent)
-        readonly = np.isscalar(data)
-        self.model = ArrayModel(data, readonly=readonly, parent=self,
-                                bg_value=bg_value, bg_gradient=bg_gradient,
-                                minvalue=minvalue, maxvalue=maxvalue)
-        self.view = ArrayView(self, self.model, data.dtype, data.shape)
-
-        self.filters_layout = QHBoxLayout()
-        btn_layout = QHBoxLayout()
-        btn_layout.setAlignment(Qt.AlignLeft)
-
-        label = QLabel("Digits")
-        btn_layout.addWidget(label)
-        spin = QSpinBox(self)
-        spin.valueChanged.connect(self.digits_changed)
-        self.digits_spinbox = spin
-        btn_layout.addWidget(spin)
-
-        scientific = QCheckBox(_('Scientific'))
-        scientific.stateChanged.connect(self.scientific_changed)
-        self.scientific_checkbox = scientific
-        btn_layout.addWidget(scientific)
-
-        bgcolor = QCheckBox(_('Background color'))
-        bgcolor.stateChanged.connect(self.model.bgcolor)
-        self.bgcolor_checkbox = bgcolor
-        btn_layout.addWidget(bgcolor)
-
-        layout = QVBoxLayout()
-        layout.addLayout(self.filters_layout)
-        layout.addWidget(self.view)
-        layout.addLayout(btn_layout)
-        self.setLayout(layout)
-        self.set_data(data, bg_value=bg_value, bg_gradient=bg_gradient)
-
-    def set_data(self, data, bg_gradient=None, bg_value=None):
-        la_data = la.aslarray(data)
-        axes = la_data.axes
-        display_names = axes.display_names
-
-        filters_layout = self.filters_layout
-        clear_layout(filters_layout)
-        filters_layout.addWidget(QLabel(_("Filters")))
-        for axis, display_name in zip(axes, display_names):
-            filters_layout.addWidget(QLabel(display_name))
-            filters_layout.addWidget(self.create_filter_combo(axis))
-        filters_layout.addStretch()
-
-        self.model.set_data(la_data, bg_gradient=bg_gradient, bg_value=bg_value)
-        self._update(la_data)
-
-    def _update(self, la_data):
-        size = la_data.size
-        # this will yield a data sample of max 199
-        step = (size // 100) if size > 100 else 1
-        data_sample = la_data.data.flat[::step]
-
-        # TODO: refactor so that the expensive format_helper is not called
-        # twice (or the values are cached)
-        use_scientific = self.choose_scientific(data_sample)
-
-        # XXX: self.ndecimals vs self.digits
-        self.digits = self.choose_ndecimals(data_sample, use_scientific)
-        self.use_scientific = use_scientific
-        self.model.set_format(self.cell_format)
-
-        self.digits_spinbox.setValue(self.digits)
-        self.digits_spinbox.setEnabled(is_number(la_data.dtype))
-
-        self.scientific_checkbox.setChecked(use_scientific)
-        self.scientific_checkbox.setEnabled(is_number(la_data.dtype))
-
-        self.bgcolor_checkbox.setChecked(self.model.bgcolor_enabled)
-        self.bgcolor_checkbox.setEnabled(self.model.bgcolor_enabled)
-
-    def choose_scientific(self, data):
-        # max_digits = self.get_max_digits()
-        # default width can fit 8 chars
-        # FIXME: use max_digits?
-        avail_digits = 8
-        if data.dtype.type in (np.str, np.str_, np.bool_, np.bool, np.object_):
-            return False
-
-        frac_zeros, int_digits, _ = self.format_helper(data)
-
-        # if there are more integer digits than we can display or we can
-        # display more information by using scientific format, do so
-        # (scientific format "uses" 4 digits, so we win if have >= 4 zeros
-        #  -- *including the integer one*)
-        # TODO: only do so if we would actually display more information
-        # 0.00001 can be displayed with 8 chars
-        # 1e-05
-        # would
-        return int_digits > avail_digits or frac_zeros >= 4
-
-    def choose_ndecimals(self, data, scientific):
-        if data.dtype.type in (np.str, np.str_, np.bool_, np.bool, np.object_):
-            return 0
-
-        # max_digits = self.get_max_digits()
-        # default width can fit 8 chars
-        # FIXME: use max_digits?
-        avail_digits = 8
-        data_frac_digits = self._data_digits(data)
-        _, int_digits, negative = self.format_helper(data)
-        if scientific:
-            int_digits = 2 if negative else 1
-            exp_digits = 4
-        else:
-            exp_digits = 0
-        # - 1 for the dot
-        ndecimals = avail_digits - 1 - int_digits - exp_digits
-
-        if ndecimals < 0:
-            ndecimals = 0
-
-        if data_frac_digits < ndecimals:
-            ndecimals = data_frac_digits
-        return ndecimals
-
-    def format_helper(self, data):
-        if not data.size:
-            return 0, 0, False
-        data = np.where(np.isfinite(data), data, 0)
-        vmin, vmax = np.nanmin(data), np.nanmax(data)
-        absmax = max(abs(vmin), abs(vmax))
-        logabsmax = math.log10(absmax) if absmax else 0
-        # minimum number of zeros before meaningful fractional part
-        frac_zeros = math.ceil(-logabsmax) - 1 if logabsmax < 0 else 0
-        int_digits = max(ndigits(vmin), ndigits(vmax))
-        return frac_zeros, int_digits, vmin < 0
-
-    def get_max_digits(self, need_sign=False, need_dot=False, scientific=False):
-        font = get_font("arreditor")  # QApplication.font()
-        col_width = 60
-        margin_width = 6  # a wild guess
-        avail_width = col_width - margin_width
-        metrics = QFontMetrics(font)
-
-        def str_width(c):
-            return metrics.size(Qt.TextSingleLine, c).width()
-
-        digit_width = max(str_width(str(i)) for i in range(10))
-        dot_width = str_width('.')
-        sign_width = max(str_width('+'), str_width('-'))
-        if need_sign:
-            avail_width -= sign_width
-        if need_dot:
-            avail_width -= dot_width
-        if scientific:
-            avail_width -= str_width('e') + sign_width + 2 * digit_width
-        return avail_width // digit_width
-
-    def _data_digits(self, data, maxdigits=6):
-        if not data.size:
-            return 0
-        threshold = 10 ** -(maxdigits + 1)
-        for ndigits in range(maxdigits):
-            maxdiff = np.max(np.abs(data - np.round(data, ndigits)))
-            if maxdiff < threshold:
-                return ndigits
-        return maxdigits
-
-    @property
-    def dirty(self):
-        self.model.update_global_changes()
-        return len(self.model.changes) > 1
-
-    def accept_changes(self):
-        """Accept changes"""
-        la_data = self.model.accept_changes()
-        self._update(la_data)
-
-    def reject_changes(self):
-        """Reject changes"""
-        self.model.reject_changes()
-
-    @property
-    def cell_format(self):
-        type = self.model.get_data().dtype.type
-        if type in (np.str, np.str_, np.bool_, np.bool, np.object_):
-            return '%s'
-        else:
-            format_letter = 'e' if self.use_scientific else 'f'
-            return '%%.%d%s' % (self.digits, format_letter)
-
-    def scientific_changed(self, value):
-        self.use_scientific = value
-        self.digits = self.choose_ndecimals(self.model.get_data(), value)
-        self.digits_spinbox.setValue(self.digits)
-        self.model.set_format(self.cell_format)
-
-    def digits_changed(self, value):
-        self.digits = value
-        self.model.set_format(self.cell_format)
-
-    def create_filter_combo(self, axis):
-        def filter_changed(checked_items):
-            filtered = self.model.change_filter(axis, checked_items)
-            self._update(filtered)
-        combo = FilterComboBox(self)
-        combo.addItems([str(l) for l in axis.labels])
-        combo.checkedItemsChanged.connect(filter_changed)
-        return combo
-
-
-class ArrayEditor(QDialog):
-    """Array Editor Dialog"""
-    def __init__(self, parent=None):
-        QDialog.__init__(self, parent)
-
-        # Destroying the C++ object right after closing the dialog box,
-        # otherwise it may be garbage-collected in another QThread
-        # (e.g. the editor's analysis thread in Spyder), thus leading to
-        # a segmentation fault on UNIX or an application crash on Windows
-        self.setAttribute(Qt.WA_DeleteOnClose)
-
-        self.data = None
-        self.arraywidget = None
-
-    def setup_and_check(self, data, title='', readonly=False,
-                        xlabels=None, ylabels=None,
-                        minvalue=None, maxvalue=None):
-        """
-        Setup ArrayEditor:
-        return False if data is not supported, True otherwise
-        """
-        if np.isscalar(data):
-            readonly = True
-        if isinstance(data, la.LArray):
-            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
-                                   for display_name, axis
-                                   in zip(data.axes.display_names, data.axes))
-            title = (title + ': ' + axes_info) if title else axes_info
-
-        self.data = data
-        layout = QGridLayout()
-        self.setLayout(layout)
-
-        icon = ima.icon('larray')
-        if icon is not None:
-            self.setWindowIcon(icon)
-
-        if not title:
-            title = _("Array viewer") if readonly else _("Array editor")
-        if readonly:
-            title += ' (' + _('read only') + ')'
-        self.setWindowTitle(title)
-        self.resize(800, 600)
-        self.setMinimumSize(400, 300)
-
-        self.arraywidget = ArrayEditorWidget(self, data, readonly, xlabels, ylabels,
-                                             minvalue=minvalue, maxvalue=maxvalue)
-        layout.addWidget(self.arraywidget, 1, 0)
-
-        # Buttons configuration
-        btn_layout = QHBoxLayout()
-        btn_layout.addStretch()
-
-        # not using a QDialogButtonBox with standard Ok/Cancel buttons
-        # because that makes it impossible to disable the AutoDefault on them
-        # (Enter always "accepts"/close the dialog) which is annoying for edit()
-        if readonly:
-            close_button = QPushButton("Close")
-            close_button.clicked.connect(self.reject)
-            close_button.setAutoDefault(False)
-            btn_layout.addWidget(close_button)
-        else:
-            ok_button = QPushButton("&OK")
-            ok_button.clicked.connect(self.accept)
-            ok_button.setAutoDefault(False)
-            btn_layout.addWidget(ok_button)
-            cancel_button = QPushButton("Cancel")
-            cancel_button.clicked.connect(self.reject)
-            cancel_button.setAutoDefault(False)
-            btn_layout.addWidget(cancel_button)
-        # r_button = QPushButton("resize")
-        # r_button.clicked.connect(self.resize_to_contents)
-        # btn_layout.addWidget(r_button)
-        layout.addLayout(btn_layout, 2, 0)
-
-        # Make the dialog act as a window
-        self.setWindowFlags(Qt.Window)
-        return True
-
-    def autofit_columns(self):
-        self.arraywidget.view.autofit_columns()
-
-    @Slot()
-    def accept(self):
-        """Reimplement Qt method"""
-        self.arraywidget.accept_changes()
-        QDialog.accept(self)
-
-    @Slot()
-    def reject(self):
-        """Reimplement Qt method"""
-        self.arraywidget.reject_changes()
-        QDialog.reject(self)
-
-    def get_value(self):
-        """Return modified array -- this is *not* a copy"""
-        # It is import to avoid accessing Qt C++ object as it has probably
-        # already been destroyed, due to the Qt.WA_DeleteOnClose attribute
-        return self.data
-
-
-assignment_pattern = re.compile('[^\[\]]+[^=]=[^=].+')
-setitem_pattern = re.compile('(.+)\[.+\][^=]=[^=].+')
-history_vars_pattern = re.compile('_i?\d+')
-# XXX: add all scalars except strings (from numpy or plain Python)?
-# (long) strings are not handled correctly so should NOT be in this list
-# tuple, list
-DISPLAY_IN_GRID = (la.LArray, np.ndarray)
-
-
-class MappingEditor(QMainWindow):
-    """Session Editor Dialog"""
-
-    MAX_RECENT_FILES = 10
-
-    def __init__(self, parent=None):
-        QMainWindow.__init__(self, parent)
-
-        # to handle recently opened files
-        settings = QSettings()
-        # XXX: use recent_file_list?
-        if settings.value("recentFileList") is None:
-            settings.setValue("recentFileList", [])
-        self.recent_file_actions = [QAction(self) for _ in range(self.MAX_RECENT_FILES)]
-        self.current_file = None
-        self.current_array = None
-        self.current_array_name = None
-
-        # Destroying the C++ object right after closing the dialog box,
-        # otherwise it may be garbage-collected in another QThread
-        # (e.g. the editor's analysis thread in Spyder), thus leading to
-        # a segmentation fault on UNIX or an application crash on Windows
-        self.setAttribute(Qt.WA_DeleteOnClose)
-
-        self.data = None
-        self.arraywidget = None
-        self._listwidget = None
-        self.eval_box = None
-        self.expressions = {}
-        self.kernel = None
-        self._unsaved_modifications = False
-
-        self.setup_menu_bar()
-
-    def setup_and_check(self, data, title='', readonly=False, minvalue=None, maxvalue=None):
-        """
-        Setup MappingEditor:
-        return False if data is not supported, True otherwise
-        """
-        icon = ima.icon('larray')
-        if icon is not None:
-            self.setWindowIcon(icon)
-
-        if not title:
-            title = _("Session viewer") if readonly else _("Session editor")
-        if readonly:
-            title += ' (' + _('read only') + ')'
-        self.title = title
-        self.setWindowTitle(self.title)
-
-        self.statusBar().showMessage("Welcome to the LArray Viewer", 4000)
-
-        widget = QWidget()
-        self.setCentralWidget(widget)
-
-        layout = QVBoxLayout()
-        widget.setLayout(layout)
-
-        self._listwidget = QListWidget(self)
-        self._listwidget.currentItemChanged.connect(self.on_item_changed)
-        self._listwidget.setMinimumWidth(45)
-
-        del_item_shortcut = QShortcut(QKeySequence(Qt.Key_Delete), self._listwidget)
-        del_item_shortcut.activated.connect(self.delete_current_item)
-
-        self.data = la.Session()
-        self.arraywidget = ArrayEditorWidget(self, la.zeros(0), readonly)
-
-        if qtconsole_available:
-            # Create an in-process kernel
-            kernel_manager = QtInProcessKernelManager()
-            kernel_manager.start_kernel(show_banner=False)
-            kernel = kernel_manager.kernel
-
-            kernel.shell.run_cell('from larray import *')
-            kernel.shell.push(dict(self.data.items()))
-            text_formatter = kernel.shell.display_formatter.formatters['text/plain']
-
-            def void_formatter(array, *args, **kwargs):
-                return ''
-
-            for type_ in DISPLAY_IN_GRID:
-                text_formatter.for_type(type_, void_formatter)
-
-            self.kernel = kernel
-
-            kernel_client = kernel_manager.client()
-            kernel_client.start_channels()
-
-            ipython_widget = RichJupyterWidget()
-            ipython_widget.kernel_manager = kernel_manager
-            ipython_widget.kernel_client = kernel_client
-            ipython_widget.executed.connect(self.ipython_cell_executed)
-            ipython_widget._display_banner = False
-
-            self.eval_box = ipython_widget
-            self.eval_box.setMinimumHeight(20)
-
-            arraywidget = self.arraywidget
-            if not readonly:
-                # Buttons configuration
-                btn_layout = QHBoxLayout()
-                btn_layout.addStretch()
-
-                bbox = QDialogButtonBox(QDialogButtonBox.Apply | QDialogButtonBox.Discard)
-
-                apply_btn = bbox.button(QDialogButtonBox.Apply)
-                apply_btn.clicked.connect(self.apply_changes)
-
-                discard_btn = bbox.button(QDialogButtonBox.Discard)
-                discard_btn.clicked.connect(self.discard_changes)
-
-                btn_layout.addWidget(bbox)
-
-                arraywidget_layout = QVBoxLayout()
-                arraywidget_layout.addWidget(self.arraywidget)
-                arraywidget_layout.addLayout(btn_layout)
-
-                # you cant add a layout directly in a splitter, so we have to wrap it in a widget
-                arraywidget = QWidget()
-                arraywidget.setLayout(arraywidget_layout)
-
-            right_panel_widget = QSplitter(Qt.Vertical)
-            right_panel_widget.addWidget(arraywidget)
-            right_panel_widget.addWidget(self.eval_box)
-            right_panel_widget.setSizes([90, 10])
-        else:
-            self.eval_box = QLineEdit()
-            self.eval_box.returnPressed.connect(self.line_edit_update)
-
-            right_panel_layout = QVBoxLayout()
-            right_panel_layout.addWidget(self.arraywidget)
-            right_panel_layout.addWidget(self.eval_box)
-
-            # you cant add a layout directly in a splitter, so we have to wrap
-            # it in a widget
-            right_panel_widget = QWidget()
-            right_panel_widget.setLayout(right_panel_layout)
-
-        main_splitter = QSplitter(Qt.Horizontal)
-        main_splitter.addWidget(self._listwidget)
-        main_splitter.addWidget(right_panel_widget)
-        main_splitter.setSizes([10, 90])
-        main_splitter.setCollapsible(1, False)
-
-        layout.addWidget(main_splitter)
-
-        self._listwidget.setCurrentRow(0)
-
-        self.resize(800, 600)
-        self.setMinimumSize(400, 300)
-
-        # Make the dialog act as a window
-        self.setWindowFlags(Qt.Window)
-
-        # check if reopen last opened file
-        if data is REOPEN_LAST_FILE:
-            if len(QSettings().value("recentFileList")) > 0:
-                data = self.recent_file_actions[0].data()
-            else:
-                data = la.Session()
-
-        # load file if any
-        if isinstance(data, str):
-            if os.path.isfile(data):
-                self._open_file(data)
-            else:
-                QMessageBox.critical(self, "Error", "File {} could not be found".format(data))
-                self.new()
-        # convert input data to Session if not
-        else:
-            self.data = data if isinstance(data, la.Session) else la.Session(data)
-            arrays = [k for k, v in self.data.items() if self._display_in_grid(k, v)]
-            self.add_list_items(arrays)
-
-        return True
-
-    def _reset(self):
-        self.data = la.Session()
-        self._listwidget.clear()
-        self.current_array = None
-        self.current_array_name = None
-        if qtconsole_available:
-            self.kernel.shell.reset()
-            self.kernel.shell.run_cell('from larray import *')
-            self.ipython_cell_executed()
-        else:
-            self.eval_box.setText('None')
-            self.line_edit_update()
-
-    def setup_menu_bar(self):
-        """Setup menu bar"""
-        menu_bar = self.menuBar()
-        file_menu = menu_bar.addMenu('&File')
-
-        file_menu.addAction(create_action(self, _('&New'), shortcut="Ctrl+N", triggered=self.new))
-        file_menu.addAction(create_action(self, _('&Open'), shortcut="Ctrl+O", triggered=self.open,
-                                          statustip=_('Load session from file')))
-        file_menu.addAction(create_action(self, _('&Save'), shortcut="Ctrl+S", triggered=self.save,
-                                          statustip=_('Save all arrays as a session in a file')))
-        file_menu.addAction(create_action(self, _('Save &As'), triggered=self.save_as,
-                                          statustip=_('Save all arrays as a session in a file')))
-
-        recent_files_menu = file_menu.addMenu("Open &Recent")
-        for action in self.recent_file_actions:
-            action.setVisible(False)
-            action.triggered.connect(self.open_recent_file)
-            recent_files_menu.addAction(action)
-        self.update_recent_file_actions()
-        recent_files_menu.addSeparator()
-        recent_files_menu.addAction(create_action(self, _('&Clear List'), triggered=self._clear_recent_files))
-
-        file_menu.addSeparator()
-        file_menu.addAction(create_action(self, _('&Quit'), shortcut="Ctrl+Q", triggered=self.close))
-
-        help_menu = menu_bar.addMenu('&Help')
-        help_menu.addAction(create_action(self, _('Online &Documentation'), shortcut="Ctrl+H",
-                                          triggered=self.open_documentation))
-        help_menu.addAction(create_action(self, _('Online &Tutorial'), triggered=self.open_tutorial))
-        help_menu.addAction(create_action(self, _('Online Objects and Functions (API) &Reference'),
-                                          triggered=self.open_api_documentation))
-
-    def add_list_item(self, name):
-        listitem = QListWidgetItem(self._listwidget)
-        listitem.setText(name)
-        value = self.data[name]
-        if isinstance(value, la.LArray):
-            listitem.setToolTip(str(value.info))
-
-    def add_list_items(self, names):
-        for name in names:
-            self.add_list_item(name)
-
-    def delete_list_item(self, to_delete):
-        deleted_items = self._listwidget.findItems(to_delete, Qt.MatchExactly)
-        assert len(deleted_items) == 1
-        deleted_item_idx = self._listwidget.row(deleted_items[0])
-        self._listwidget.takeItem(deleted_item_idx)
-
-    def select_list_item(self, to_display):
-        changed_items = self._listwidget.findItems(to_display, Qt.MatchExactly)
-        assert len(changed_items) == 1
-        prev_selected = self._listwidget.selectedItems()
-        assert len(prev_selected) <= 1
-        # if the currently selected item (value) need to be refreshed (e.g it was modified)
-        if prev_selected and prev_selected[0] == changed_items[0]:
-            # we need to update the array widget explicitly
-            self.set_current_array(self.data[to_display], to_display)
-        else:
-            # for some reason, on_item_changed is not triggered when no item was selected
-            if not prev_selected:
-                self.set_current_array(self.data[to_display], to_display)
-            self._listwidget.setCurrentItem(changed_items[0])
-
-    def update_mapping(self, value):
-        # XXX: use ordered set so that the order is non-random if the underlying container is ordered?
-        keys_before = set(self.data.keys())
-        keys_after = set(value.keys())
-        # contains both new and updated keys (but not deleted keys)
-        changed_keys = [k for k in keys_after if value[k] is not self.data.get(k)]
-
-        # when a key is re-assigned, it can switch from being displayable to non-displayable or vice versa
-        displayable_keys_before = set(k for k in keys_before if self._display_in_grid(k, self.data[k]))
-        displayable_keys_after = set(k for k in keys_after if self._display_in_grid(k, value[k]))
-        deleted_displayable_keys = displayable_keys_before - displayable_keys_after
-        new_displayable_keys = displayable_keys_after - displayable_keys_before
-        # this can contain more keys than new_displayble_keys (because of existing keys which changed value)
-        changed_displayable_keys = [k for k in changed_keys if self._display_in_grid(k, value[k])]
-
-        # 1) update session/mapping
-        # a) deleted old keys
-        for k in keys_before - keys_after:
-            del self.data[k]
-        # b) add new/modify existing keys
-        for k in changed_keys:
-            self.data[k] = value[k]
-
-        # 2) update list widget
-        for k in deleted_displayable_keys:
-            self.delete_list_item(k)
-        self.add_list_items(new_displayable_keys)
-
-        # 3) mark session as dirty if needed
-        if len(changed_displayable_keys) > 0 or deleted_displayable_keys:
-            self._unsaved_modifications = True
-
-        # 4) change displayed array in the array widget
-        # only display first result if there are more than one
-        to_display = changed_displayable_keys[0] if changed_displayable_keys else None
-        if to_display is not None:
-            self.select_list_item(to_display)
-        return to_display
-
-    def delete_current_item(self):
-        current_item = self._listwidget.currentItem()
-        name = str(current_item.text())
-        del self.data[name]
-        if qtconsole_available:
-            self.kernel.shell.del_var(name)
-        self._listwidget.takeItem(self._listwidget.row(current_item))
-
-    def line_edit_update(self):
-        s = self.eval_box.text()
-        if assignment_pattern.match(s):
-            context = self.data._objects.copy()
-            exec(s, la.__dict__, context)
-            varname = self.update_mapping(context)
-            if varname is not None:
-                self.expressions[varname] = s
-        else:
-            self.view_expr(eval(s, la.__dict__, self.data))
-
-    def view_expr(self, array):
-        self._listwidget.clearSelection()
-        self.set_current_array(array, '<expr>')
-
-    def _display_in_grid(self, k, v):
-        return not k.startswith('__') and isinstance(v, DISPLAY_IN_GRID)
-
-    def ipython_cell_executed(self):
-        user_ns = self.kernel.shell.user_ns
-        ip_keys = set(['In', 'Out', '_', '__', '___',
-                       '__builtin__',
-                       '_dh', '_ih', '_oh', '_sh', '_i', '_ii', '_iii',
-                       'exit', 'get_ipython', 'quit'])
-        # '__builtins__', '__doc__', '__loader__', '__name__', '__package__', '__spec__',
-        clean_ns_keys = set([k for k, v in user_ns.items() if not history_vars_pattern.match(k)]) - ip_keys
-        clean_ns = {k: v for k, v in user_ns.items() if k in clean_ns_keys}
-
-        # user_ns['_i'] is not updated yet (refers to the -2 item)
-        # 'In' and '_ih' point to the same object (but '_ih' is supposed to be the non-overridden one)
-        cur_input_num = len(user_ns['_ih']) - 1
-        last_input = user_ns['_ih'][-1]
-        if setitem_pattern.match(last_input):
-            m = setitem_pattern.match(last_input)
-            varname = m.group(1)
-            # otherwise it should have failed at this point, but let us be sure
-            if varname in clean_ns:
-                if self._display_in_grid(varname, clean_ns[varname]):
-                    self.select_list_item(varname)
-        else:
-            # not setitem => assume expr or normal assignment
-            if last_input in clean_ns:
-                # the name exists in the session (variable)
-                if self._display_in_grid('', self.data[last_input]):
-                    # select and display it
-                    self.select_list_item(last_input)
-            else:
-                # any statement can contain a call to a function which updates globals
-                self.update_mapping(clean_ns)
-
-                # if the statement produced any output (probably because it is a simple expression), display it.
-
-                # _oh and Out are supposed to be synonyms but "_ih" is supposed to be the non-overridden one.
-                # It would be easier to use '_' instead but that refers to the last output, not the output of the
-                # last command. Which means that if the last command did not produce any output, _ is not modified.
-                cur_output = user_ns['_oh'].get(cur_input_num)
-                if cur_output is not None:
-                    if self._display_in_grid('_', cur_output):
-                        self.view_expr(cur_output)
-
-                    if isinstance(cur_output, matplotlib.axes.Subplot) and 'inline' not in matplotlib.get_backend():
-                        canvas = FigureCanvas(cur_output.figure)
-                        main = PlotDialog(canvas, self)
-                        main.show()
-
-    def on_item_changed(self, curr, prev):
-        if curr is not None:
-            name = str(curr.text())
-            array = self.data[name]
-            self.set_current_array(array, name)
-            expr = self.expressions.get(name, name)
-            if qtconsole_available:
-                # this does not work because it updates the NEXT input, not the
-                # current one (it is supposed to be called from within the console)
-                # self.kernel.shell.set_next_input(expr, replace=True)
-                # self.kernel_client.input(expr)
-                pass
-            else:
-                self.eval_box.setText(expr)
-
-    def update_title(self):
-        array = self.current_array
-        name = self.current_array_name
-        title = []
-        if isinstance(array, la.LArray):
-            # current file (if not None)
-            if self.current_file is not None:
-                if os.path.isdir(self.current_file):
-                    title = ['{}/{}.csv'.format(self.current_file, name)]
-                else:
-                    title = [self.current_file]
-            # array info
-            axes = array.axes
-            axes_info = ' x '.join("%s (%d)" % (display_name, len(axis))
-                                   for display_name, axis
-                                   in zip(axes.display_names, axes))
-            title += [(name + ': ' + axes_info) if name else axes_info]
-        # name of non-LArray displayed item (if not None)
-        elif name:
-            title = [name]
-        # extra info
-        title += [self.title]
-        self.setWindowTitle(' - '.join(title))
-
-    def set_current_array(self, array, name):
-        self.current_array = array
-        self.current_array_name = name
-        self.arraywidget.set_data(array)
-        self.update_title()
-
-    def _add_arrays(self, arrays):
-        for k, v in arrays.items():
-            self.data[k] = v
-            self.add_list_item(k)
-        if qtconsole_available:
-            self.kernel.shell.push(dict(arrays))
-
-    def _is_unsaved_modifications(self):
-        if self.arraywidget.model.readonly:
-            return False
-        else:
-            return self.arraywidget.dirty or self._unsaved_modifications
-
-    def _ask_to_save_if_unsaved_modifications(self):
-        """
-        Returns
-        -------
-        bool
-            whether or not the process should continue
-        """
-        if self._is_unsaved_modifications():
-            ret = QMessageBox.warning(self, "Warning", "The data has been modified.\nDo you want to save your changes?",
-                                      QMessageBox.Save | QMessageBox.Discard | QMessageBox.Cancel)
-            if ret == QMessageBox.Save:
-                self.apply_changes()
-                return self.save()
-            elif ret == QMessageBox.Cancel:
-                return False
-            else:
-                return True
-        else:
-            return True
-
-    def new(self):
-        if self._ask_to_save_if_unsaved_modifications():
-            self._reset()
-            self.arraywidget.set_data(la.zeros(0))
-            self.set_current_file(None)
-            self._unsaved_modifications = False
-            self.statusBar().showMessage("Viewer has been reset", 4000)
-
-    def _open_file(self, filepath):
-        self._reset()
-        session = la.Session()
-        if '.csv' in filepath:
-            filepath = [filepath]
-        if isinstance(filepath, (list, tuple)):
-            session.load(None, filepath)
-            dirname = os.path.dirname(filepath[0])
-            basenames = [os.path.basename(fpath) for fpath in filepath]
-            self.set_current_file(dirname)
-            self.statusBar().showMessage("CSV files {} loaded".format(' ,'.join(basenames)), 4000)
-        else:
-            session.load(filepath)
-            self.set_current_file(filepath)
-            self.statusBar().showMessage("File {} loaded".format(os.path.basename(filepath)), 4000)
-        self._add_arrays(session)
-        self._listwidget.setCurrentRow(0)
-        self._unsaved_modifications = False
-
-    def open(self):
-        if self._ask_to_save_if_unsaved_modifications():
-            filter = "All (*.xls *xlsx *.h5 *.csv);;Excel Files (*.xls *xlsx);;HDF Files (*.h5);;CSV Files (*.csv)"
-            res = QFileDialog.getOpenFileNames(self, filter=filter)
-            # Qt5 returns a tuple (filepaths, '') instead of a string
-            filepaths = res[0] if PYQT5 else res
-            if len(filepaths) >= 1:
-                if all(['.csv' in filepath for filepath in filepaths]):
-                    self._open_file(filepaths)
-                elif len(filepaths) == 1:
-                    self._open_file(filepaths[0])
-                else:
-                    QMessageBox.critical(self, "Error",
-                                         "Only several CSV files can be loaded in the same time")
-
-    def open_recent_file(self):
-        if self._ask_to_save_if_unsaved_modifications():
-            action = self.sender()
-            if action:
-                filepath = action.data()
-                if os.path.exists(filepath):
-                    self._open_file(filepath)
-                else:
-                    QMessageBox.warning(self, "Warning", "File {} could not be found".format(filepath))
-
-    def _save_data(self, filepath):
-        session = la.Session({k: v for k, v in self.data.items() if self._display_in_grid(k, v)})
-        session.save(filepath)
-        self.set_current_file(filepath)
-        self._unsaved_modifications = False
-        self.statusBar().showMessage("Arrays saved in file {}".format(filepath), 4000)
-
-    def save(self):
-        """
-        Returns
-        -------
-        bool
-            whether or not the data was actually saved
-        """
-        if self.current_file is not None:
-            self._save_data(self.current_file)
-            return True
-        else:
-            return self.save_as()
-
-    def save_as(self):
-        # TODO: use filter
-        dialog = QFileDialog(self)
-        dialog.setWindowModality(Qt.WindowModal)
-        dialog.setAcceptMode(QFileDialog.AcceptSave)
-        accepted = dialog.exec_() == QDialog.Accepted
-        if accepted:
-            self._save_data(dialog.selectedFiles()[0])
-        return accepted
-
-    def open_documentation(self):
-        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/"))
-
-    def open_tutorial(self):
-        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/notebooks/LArray_intro.html"))
-
-    def open_api_documentation(self):
-        QDesktopServices.openUrl(QUrl("http://larray.readthedocs.io/en/stable/api.html"))
-
-    def set_current_file(self, filepath):
-        self.update_recent_files([filepath])
-        self.current_file = filepath
-        self.update_title()
-
-    def update_recent_files(self, filepaths):
-        settings = QSettings()
-        files = settings.value("recentFileList")
-        for filepath in filepaths:
-            if filepath is not None:
-                if filepath in files:
-                    files.remove(filepath)
-                files = [filepath] + files
-        settings.setValue("recentFileList", files[:self.MAX_RECENT_FILES])
-        self.update_recent_file_actions()
-
-    def _clear_recent_files(self):
-        settings = QSettings()
-        settings.setValue("recentFileList", [])
-        self.update_recent_file_actions()
-
-    def update_recent_file_actions(self):
-        settings = QSettings()
-        recent_files = settings.value("recentFileList")
-        if recent_files is None:
-            recent_files = []
-
-        # zip will iterate up to the shortest of the two
-        for filepath, action in zip(recent_files, self.recent_file_actions):
-            action.setText(os.path.basename(filepath))
-            action.setStatusTip(filepath)
-            action.setData(filepath)
-            action.setVisible(True)
-        # if we have less recent recent files than actions, hide the remaining actions
-        for action in self.recent_file_actions[len(recent_files):]:
-            action.setVisible(False)
-
-    def closeEvent(self, event):
-        if self._ask_to_save_if_unsaved_modifications():
-            event.accept()
-        else:
-            event.ignore()
-
-    def apply_changes(self):
-        # update _unsaved_modifications only if 1 or more changes have been applied
-        if len(self.arraywidget.model.changes) > 0:
-            self._unsaved_modifications = True
-        self.arraywidget.accept_changes()
-
-    def discard_changes(self):
-        self.arraywidget.reject_changes()
-
-    def get_value(self):
-        """Return modified array -- this is *not* a copy"""
-        # It is import to avoid accessing Qt C++ object as it has probably
-        # already been destroyed, due to the Qt.WA_DeleteOnClose attribute
-        return self.data
-
-
-class LinearGradient(object):
-    """
-    I cannot believe I had to roll my own class for this when PyQt already
-    contains QLinearGradient... but you cannot get intermediate values out of
-    QLinearGradient!
-    """
-    def __init__(self, stop_points=None):
-        if stop_points is None:
-            stop_points = []
-        # sort by position
-        stop_points = sorted(stop_points, key=lambda x: x[0])
-        positions, colors = zip(*stop_points)
-        self.positions = np.array(positions)
-        assert len(np.unique(self.positions)) == len(self.positions)
-        self.colors = np.array(colors)
-
-    def __getitem__(self, key):
-        """
-        Parameters
-        ----------
-        key : float
-
-        Returns
-        -------
-        QColor
-        """
-        if key != key:
-            key = self.positions[0]
-        pos_idx = np.searchsorted(self.positions, key, side='right') - 1
-        # if we are exactly on one of the bounds
-        if pos_idx > 0 and key in self.positions:
-            pos_idx -= 1
-        pos0, pos1 = self.positions[pos_idx:pos_idx + 2]
-        # col0 and col1 are ndarrays
-        col0, col1 = self.colors[pos_idx:pos_idx + 2]
-        assert pos0 != pos1
-        color = col0 + (col1 - col0) * (key - pos0) / (pos1 - pos0)
-        return to_qvariant(QColor.fromHsvF(*color))
-
-
-class ArrayComparator(QDialog):
-    """Session Editor Dialog"""
-    def __init__(self, parent=None):
-        QDialog.__init__(self, parent)
-
-        # Destroying the C++ object right after closing the dialog box,
-        # otherwise it may be garbage-collected in another QThread
-        # (e.g. the editor's analysis thread in Spyder), thus leading to
-        # a segmentation fault on UNIX or an application crash on Windows
-        self.setAttribute(Qt.WA_DeleteOnClose)
-
-        self.arrays = None
-        self.array = None
-        self.arraywidget = None
-
-    def setup_and_check(self, arrays, names, title=''):
-        """
-        Setup ArrayComparator:
-        return False if data is not supported, True otherwise
-        """
-        assert all(isinstance(a, la.LArray) for a in arrays)
-        self.arrays = arrays
-        self.array = la.stack(arrays, la.Axis(names, 'arrays'))
-
-        icon = ima.icon('larray')
-        if icon is not None:
-            self.setWindowIcon(icon)
-
-        if not title:
-            title = _("Array comparator")
-        title += ' (' + _('read only') + ')'
-        self.setWindowTitle(title)
-
-        layout = QVBoxLayout()
-        self.setLayout(layout)
-
-        diff = self.array - self.array[la.x.arrays.i[0]]
-        absmax = abs(diff).max()
-
-        # max diff label
-        maxdiff_layout = QHBoxLayout()
-        maxdiff_layout.addWidget(QLabel('maximum absolute difference: ' +
-                                        str(absmax)))
-        maxdiff_layout.addStretch()
-        layout.addLayout(maxdiff_layout)
-
-        if absmax:
-            # scale diff to 0-1
-            bg_value = (diff / absmax) / 2 + 0.5
-        else:
-            # all 0.5 (white)
-            bg_value = la.full_like(diff, 0.5)
-        gradient = LinearGradient([(0, [.66, .85, 1., .6]),
-                                   (0.5 - 1e-16, [.66, .15, 1., .6]),
-                                   (0.5, [1., 0., 1., 1.]),
-                                   (0.5 + 1e-16, [.99, .15, 1., .6]),
-                                   (1, [.99, .85, 1., .6])])
-
-        self.arraywidget = ArrayEditorWidget(self, self.array, readonly=True,
-                                             bg_value=bg_value,
-                                             bg_gradient=gradient)
-
-        layout.addWidget(self.arraywidget)
-
-        # Buttons configuration
-        btn_layout = QHBoxLayout()
-        btn_layout.addStretch()
-
-        buttons = QDialogButtonBox.Ok
-        bbox = QDialogButtonBox(buttons)
-        bbox.accepted.connect(self.accept)
-        btn_layout.addWidget(bbox)
-        layout.addLayout(btn_layout)
-
-        self.resize(800, 600)
-        self.setMinimumSize(400, 300)
-
-        # Make the dialog act as a window
-        self.setWindowFlags(Qt.Window)
-        return True
-
-
-# TODO: it should be possible to reuse both MappingEditor and ArrayComparator
-class SessionComparator(QDialog):
-    """Session Comparator Dialog"""
-    def __init__(self, parent=None):
-        QDialog.__init__(self, parent)
-
-        # Destroying the C++ object right after closing the dialog box,
-        # otherwise it may be garbage-collected in another QThread
-        # (e.g. the editor's analysis thread in Spyder), thus leading to
-        # a segmentation fault on UNIX or an application crash on Windows
-        self.setAttribute(Qt.WA_DeleteOnClose)
-
-        self.sessions = None
-        self.names = None
-        self.arraywidget = None
-        self.maxdiff_label = None
-        self.gradient = LinearGradient([(0, [.66, .85, 1., .6]),
-                                        (0.5 - 1e-16, [.66, .15, 1., .6]),
-                                        (0.5, [1., 0., 1., 1.]),
-                                        (0.5 + 1e-16, [.99, .15, 1., .6]),
-                                        (1, [.99, .85, 1., .6])])
-
-    def setup_and_check(self, sessions, names, title=''):
-        """
-        Setup SessionComparator:
-        return False if data is not supported, True otherwise
-        """
-        assert all(isinstance(s, la.Session) for s in sessions)
-        self.sessions = sessions
-        self.names = names
-
-        icon = ima.icon('larray')
-        if icon is not None:
-            self.setWindowIcon(icon)
-
-        if not title:
-            title = _("Session comparator")
-        title += ' (' + _('read only') + ')'
-        self.setWindowTitle(title)
-
-        layout = QVBoxLayout()
-        self.setLayout(layout)
-
-        names = sorted(set.union(*[set(s.names) for s in self.sessions]))
-        self._listwidget = listwidget = QListWidget(self)
-        self._listwidget.addItems(names)
-        self._listwidget.currentItemChanged.connect(self.on_item_changed)
-
-        for i, name in enumerate(names):
-            arrays = [s.get(name) for s in self.sessions]
-            eq = [la.larray_equal(a, arrays[0]) for a in arrays[1:]]
-            if not all(eq):
-                listwidget.item(i).setForeground(Qt.red)
-
-        array, absmax, bg_value = self.get_array(names[0])
-
-        if not array.size:
-            array = la.LArray(['no data'])
-        self.arraywidget = ArrayEditorWidget(self, array, readonly=True,
-                                             bg_value=bg_value,
-                                             bg_gradient=self.gradient)
-
-        right_panel_layout = QVBoxLayout()
-
-        # max diff label
-        maxdiff_layout = QHBoxLayout()
-        maxdiff_layout.addWidget(QLabel('maximum absolute difference:'))
-        self.maxdiff_label = QLabel(str(absmax))
-        maxdiff_layout.addWidget(self.maxdiff_label)
-        maxdiff_layout.addStretch()
-        right_panel_layout.addLayout(maxdiff_layout)
-
-        # array_splitter.setSizePolicy(QSizePolicy.Expanding,
-        #                              QSizePolicy.Expanding)
-        right_panel_layout.addWidget(self.arraywidget)
-
-        # you cant add a layout directly in a splitter, so we have to wrap it
-        # in a widget
-        right_panel_widget = QWidget()
-        right_panel_widget.setLayout(right_panel_layout)
-
-        main_splitter = QSplitter(Qt.Horizontal)
-        main_splitter.addWidget(self._listwidget)
-        main_splitter.addWidget(right_panel_widget)
-        main_splitter.setSizes([5, 95])
-        main_splitter.setCollapsible(1, False)
-
-        layout.addWidget(main_splitter)
-
-        # Buttons configuration
-        btn_layout = QHBoxLayout()
-        btn_layout.addStretch()
-
-        buttons = QDialogButtonBox.Ok
-        bbox = QDialogButtonBox(buttons)
-        bbox.accepted.connect(self.accept)
-        btn_layout.addWidget(bbox)
-        layout.addLayout(btn_layout)
-
-        self.resize(800, 600)
-        self.setMinimumSize(400, 300)
-
-        # Make the dialog act as a window
-        self.setWindowFlags(Qt.Window)
-        return True
-
-    def get_array(self, name):
-        arrays = [s.get(name) for s in self.sessions]
-        array = la.stack(arrays, la.Axis(self.names, 'sessions'))
-        diff = array - array[la.x.sessions.i[0]]
-        absmax = abs(diff).max()
-        # scale diff to 0-1
-        if absmax:
-            bg_value = (diff / absmax) / 2 + 0.5
-        else:
-            bg_value = la.full_like(diff, 0.5)
-        # only show rows with a difference. For some reason, this is abysmally
-        # slow though.
-        # row_filter = (array != array[la.x.sessions.i[0]]).any(la.x.sessions)
-        # array = array[row_filter]
-        # bg_value = bg_value[row_filter]
-        return array, absmax, bg_value
-
-    def on_item_changed(self, curr, prev):
-        array, absmax, bg_value = self.get_array(str(curr.text()))
-        self.maxdiff_label.setText(str(absmax))
-        self.arraywidget.set_data(array, bg_value=bg_value,
-                                  bg_gradient=self.gradient)
diff --git a/setup.py b/setup.py
index 37c5b8821..398a42011 100644
--- a/setup.py
+++ b/setup.py
@@ -14,12 +14,12 @@ def readlocal(fname):
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")
 INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1']
-TESTS_REQUIRE = ['pytest', 'pytest-qt']
+TESTS_REQUIRE = ['pytest']
 SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'
 URL = 'https://github.com/liam2/larray'
-PACKAGE_DATA = {'larray': ['tests/data/*', 'images/*']}
+PACKAGE_DATA = {'larray': ['tests/data/*']}
 
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',

From e340b7b2a447cdea8c498d2004d10483e900502c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 5 Jul 2017 12:08:58 +0200
Subject: [PATCH 679/899] updated changelog 0.25 --> view, edit and compare
 require larray-editor package

---
 doc/source/changes/version_0_25.rst.inc | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 2eeced0f7..02dba8539 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -1,6 +1,10 @@
 New features
 ------------
 
+* viewer functions (`view`, `edit` and `compare`) have been moved to the separate `larray-editor` package,
+  which needs to be installed separately, unless you are using `larrayenv`.
+  Closes :issue:`332`.
+
 * installing larray-editor (or larrayenv) from conda environment creates a new menu 'LArray' in the Windows start menu.
   It contains a link to open the documentation, a shortcut to launch the user interface in edition mode
   and a shortcut to update larrayenv. Closes :issue:`281`.

From 6618ba587c9b790772290ab288a2828d25bfe31f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 18 Jul 2017 11:20:36 +0200
Subject: [PATCH 680/899] added larray-editor in environment.yml (but will be
 installed via pip allowing to avoid to install Qt with it).

---
 doc/environment.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/environment.yml b/doc/environment.yml
index 53ac79823..c924eabbb 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -14,3 +14,5 @@ dependencies:
   - numpydoc
   - nbsphinx
   - pandoc
+  - pip:
+    - larray-editor

From e568b3689755aed73841bd92de49cafb8187e59d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 9 Aug 2017 13:03:27 +0200
Subject: [PATCH 681/899] fixed int() and float() on groups representing a
 single string label

---
 doc/source/changes/version_0_25.rst.inc | 12 ++++++++++++
 larray/core/group.py                    |  6 ++++--
 larray/tests/test_group.py              | 19 ++++++++++++++++++-
 3 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 02dba8539..de62090e2 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -180,3 +180,15 @@ Fixes
 
 * fixed disambiguating an ambiguous key by adding the axis within the string, for example
   arr['axis_name[ambiguouslabel]'] (closes :issue:`331`).
+
+* fixed converting a string group to integer or float using int() and float() (when that makes sense).
+
+    >>> a = Axis('a=10,20,30,total')
+    >>> a
+    Axis(['10', '20', '30', 'total'], 'a')
+    >>> str(a.i[0])
+    '10'
+    >>> int(a.i[0])
+    10
+    >>> float(a.i[0])
+    10.0
diff --git a/larray/core/group.py b/larray/core/group.py
index bd26d1da1..25320a50b 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -1136,10 +1136,12 @@ def __index__(self):
         return self.eval().__index__()
 
     def __int__(self):
-        return self.eval().__int__()
+        # 'str' objects have no '__int__' attribute, so this is better than calling __int__ explicitly
+        return int(self.eval())
 
     def __float__(self):
-        return self.eval().__float__()
+        # 'str' objects have no '__float__' attribute, so this is better than calling __float__ explicitly
+        return float(self.eval())
 
     def __array__(self, dtype=None):
         return np.asarray(self.eval(), dtype=dtype)
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index 8215868d4..ff373bb83 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -8,6 +8,7 @@
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import Axis, LGroup, LSet
 
+
 class TestLGroup(TestCase):
     def setUp(self):
         self.age = Axis('age=0..10')
@@ -104,6 +105,14 @@ def test_repr(self):
         self.assertEqual(repr(self.slice_none_wh_anonymous_axis),
                          "LGroup(slice(None, None, None), axis=Axis([0, 1, 2], None))")
 
+    def test_to_int(self):
+        a = Axis(['42'], 'a')
+        self.assertEqual(int(a['42']), 42)
+
+    def test_to_float(self):
+        a = Axis(['42'], 'a')
+        self.assertEqual(float(a['42']), 42.0)
+
 
 class TestLSet(TestCase):
     def test_or(self):
@@ -231,6 +240,14 @@ def test_repr(self):
         self.assertEqual(repr(self.list), "code.i[0, 1, -2, -1]")
         self.assertEqual(repr(self.tuple), "code.i[0, 1, -2, -1]")
 
+    def test_to_int(self):
+        a = Axis(['42'], 'a')
+        self.assertEqual(int(a.i[0]), 42)
+
+    def test_to_float(self):
+        a = Axis(['42'], 'a')
+        self.assertEqual(float(a.i[0]), 42.0)
+
 
 if __name__ == "__main__":
-    pytest.main()
\ No newline at end of file
+    pytest.main()

From bfc232f05ac16363a3ec5be2ad047553016f180c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 9 Aug 2017 12:24:26 +0200
Subject: [PATCH 682/899] implemented array.points[labels] = value

also added test for array.points.__getitem__
---
 doc/source/changes/version_0_25.rst.inc | 39 +++++++++++++++++
 larray/core/array.py                    |  5 ++-
 larray/tests/test_array.py              | 58 +++++++++++++++++++++++++
 3 files changed, 100 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index de62090e2..3a49aff52 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -133,6 +133,45 @@
 * implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
   compatible with each other, see LArray.align above.
 
+* implemented setting the value of multiple points using array.points[labels] = value
+
+    >>> arr = ndtest((3, 4))
+    >>> arr
+    a\b  b0  b1  b2  b3
+     a0   0   1   2   3
+     a1   4   5   6   7
+     a2   8   9  10  11
+
+  Now, suppose you want to retrieve several specific combinations of labels, for example
+  (a0, b1), (a0, b3), (a1, b0) and (a2, b2). You could write a loop like this:
+
+    >>> values = []
+    >>> for a, b in [('a0', 'b1'), ('a0', 'b3'), ('a1', 'b0'), ('a2', 'b2')]:
+    ...     values.append(arr[a, b])
+    >>> values
+    [1, 3, 4, 10]
+
+  but you could also (this already worked in previous versions) use array.points like:
+
+    >>> arr.points[['a0', 'a0', 'a1', 'a2'], ['b1', 'b3', 'b0', 'b2']]
+    a,b  a0,b1  a0,b3  a1,b0  a2,b2
+             1      3      4     10
+
+  which has the advantages of being both much faster and keep more information. Now suppose you want to *set* the value
+  of those points, you could write:
+
+    >>> for a, b in [('a0', 'b1'), ('a0', 'b3'), ('a1', 'b0'), ('a2', 'b2')]:
+    ...     arr[a, b] = 42
+    >>> arr
+    a\b  b0  b1  b2  b3
+     a0   0  42   2  42
+     a1  42   5   6   7
+     a2   8   9  42  11
+
+  but now you can also use the faster alternative:
+
+    >>> arr.points[['a0', 'a0', 'a1', 'a2'], ['b1', 'b3', 'b0', 'b2']] = 42
+
 
 Miscellaneous improvements
 --------------------------
diff --git a/larray/core/array.py b/larray/core/array.py
index d05845b4e..4260f6701 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -424,9 +424,10 @@ def __getitem__(self, key):
         else:
             return LArray(data, axes)
 
-    # FIXME
     def __setitem__(self, key, value):
-        raise NotImplementedError()
+        data = np.asarray(self.array)
+        translated_key = self.array._translated_key(key, bool_stuff=True)
+        data[translated_key] = value
 
 
 class LArrayPositionalPointsIndexer(object):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 6db5c3ff9..a799d54dc 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -748,6 +748,64 @@ def test_positional_indexer_setitem(self):
         raw[np.ix_([1, 0], [5, 4])] = 42
         assert_array_equal(la, raw)
 
+    def test_points_indexer_getitem(self):
+        arr = ndtest((2, 3, 3))
+        raw = arr.data
+
+        keys = [
+            ('a0',
+                0),
+            (('a0', 'c2'),
+                (0, slice(None), 2)),
+            (('a0', 'b1', 'c2'),
+                (0, 1, 2)),
+            # key in the "correct" order
+            ((['a1', 'a0', 'a1', 'a0'], 'b1', ['c1', 'c0', 'c1', 'c0']),
+                ([1, 0, 1, 0], 1, [1, 0, 1, 0])),
+            # key in the "wrong" order
+            ((['a1', 'a0', 'a1', 'a0'], ['c1', 'c0', 'c1', 'c0'], 'b1'),
+                ([1, 0, 1, 0], 1, [1, 0, 1, 0])),
+            # advanced key with a missing dimension
+            ((['a1', 'a0', 'a1', 'a0'], ['c1', 'c0', 'c1', 'c0']),
+                ([1, 0, 1, 0], slice(None), [1, 0, 1, 0])),
+        ]
+        for label_key, index_key in keys:
+            assert_array_equal(arr.points[label_key], raw[index_key])
+
+        # XXX: we might want to raise KeyError or IndexError instead?
+        with self.assertRaises(ValueError):
+            arr.points['a0', 'b1', 'c2', 'd0']
+
+    def test_points_indexer_setitem(self):
+        keys = [
+            ('a0',
+                0),
+            (('a0', 'c2'),
+                (0, slice(None), 2)),
+            (('a0', 'b1', 'c2'),
+                (0, 1, 2)),
+            # key in the "correct" order
+            ((['a1', 'a0', 'a1', 'a0'], 'b1', ['c1', 'c0', 'c1', 'c0']),
+                ([1, 0, 1, 0], 1, [1, 0, 1, 0])),
+            # key in the "wrong" order
+            ((['a1', 'a0', 'a1', 'a0'], ['c1', 'c0', 'c1', 'c0'], 'b1'),
+                ([1, 0, 1, 0], 1, [1, 0, 1, 0])),
+            # advanced key with a missing dimension
+            ((['a1', 'a0', 'a1', 'a0'], ['c1', 'c0', 'c1', 'c0']),
+                ([1, 0, 1, 0], slice(None), [1, 0, 1, 0])),
+        ]
+        for label_key, index_key in keys:
+            arr = ndtest((2, 3, 3))
+            raw = arr.data.copy()
+            arr.points[label_key] = 42
+            raw[index_key] = 42
+            assert_array_equal(arr, raw)
+
+        arr = ndtest(2)
+        # XXX: we might want to raise KeyError or IndexError instead?
+        with self.assertRaises(ValueError):
+            arr.points['a0', 'b1'] = 42
+
     def test_setitem_larray(self):
         """
         tests LArray.__setitem__(key, value) where value is an LArray

From c783ed21c7dbedde29801283dd3572d936b91b69 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 21 Aug 2017 12:05:03 +0200
Subject: [PATCH 683/899] implemented Session.apply (#344)

implemented Session.apply
---
 doc/source/api.rst                      |  1 +
 doc/source/changes/version_0_25.rst.inc | 32 ++++++++++++
 larray/core/session.py                  | 68 +++++++++++++++++++++++--
 3 files changed, 97 insertions(+), 4 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index a35dcbc21..4d76d9159 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -548,6 +548,7 @@ Modifying
 
    Session.add
    Session.get
+   Session.apply
    Session.transpose
 
 Filtering/Cleaning
diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 3a49aff52..f38f6c510 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -133,6 +133,38 @@
 * implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
   compatible with each other, see LArray.align above.
 
+* implemented Session.apply(function) to apply a function to all elements (arrays) of a Session and return a new
+  Session.
+
+  Let us first create a test session
+
+    >>> arr1 = ndtest(2)
+    >>> arr1
+    a  a0  a1
+        0   1
+    >>> arr2 = ndtest(3)
+    >>> arr2
+    a  a0  a1  a2
+        0   1   2
+    >>> sess1 = Session([('arr1', arr1), ('arr2', arr2)])
+    >>> sess1
+    Session(arr1, arr2)
+
+  Then define the function we want to apply to all arrays of our session
+
+    >>> def increment(element):
+    ...     return element + 1
+
+  Apply it
+
+    >>> sess2 = sess1.apply(increment)
+    >>> sess2.arr1
+    a  a0  a1
+        1   2
+    >>> sess2.arr2
+    a  a0  a1  a2
+        1   2   3
+
 * implemented setting the value of multiple points using array.points[labels] = value
 
     >>> arr = ndtest((3, 4))
diff --git a/larray/core/session.py b/larray/core/session.py
index 76605e13a..cdf4ed4fd 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -765,11 +765,10 @@ def transpose(self, *args):
         arr1 -> b, c, a
         arr2 -> b, a
         """
-        def lenient_transpose(arr, axes):
+        def lenient_transpose(v, axes):
             # filter out axes not in arr.axes
-            return arr.transpose([a for a in axes if a in arr.axes or a is Ellipsis])
-        return Session([(k, lenient_transpose(v, args) if isinstance(v, LArray) else v)
-                        for k, v in self.items()])
+            return v.transpose([a for a in axes if a in v.axes or a is Ellipsis])
+        return self.apply(lenient_transpose, args)
 
     def compact(self, display=False):
         """
@@ -808,6 +807,67 @@ def compact(self, display=False):
             new_items.append((k, compacted))
         return Session(new_items)
 
+    def apply(self, func, *args, **kwargs):
+        """
+        Apply function `func` on elements of the session and return a new session.
+
+        Parameters
+        ----------
+        func : function
+            Function to apply to each element of the session. It should take a single `element` argument and return
+            a single value.
+        *args : any
+            Any extra arguments are passed to the function
+        kind : type or tuple of types, optional
+            Type(s) of elements `func` will be applied to. Other elements will be left intact. Use ´kind=object´ to
+            apply to all kinds of objects. Defaults to LArray.
+        **kwargs : any
+            Any extra keyword arguments are passed to the function
+
+        Returns
+        -------
+        Session
+            A new session containing all processed elements
+
+        Examples
+        --------
+        >>> arr1 = ndtest(2)
+        >>> arr1
+        a  a0  a1
+            0   1
+        >>> arr2 = ndtest(3)
+        >>> arr2
+        a  a0  a1  a2
+            0   1   2
+        >>> sess1 = Session([('arr1', arr1), ('arr2', arr2)])
+        >>> sess1
+        Session(arr1, arr2)
+        >>> def increment(array):
+        ...     return array + 1
+        >>> sess2 = sess1.apply(increment)
+        >>> sess2.arr1
+        a  a0  a1
+            1   2
+        >>> sess2.arr2
+        a  a0  a1  a2
+            1   2   3
+
+        You may also pass extra arguments or keyword arguments to the function
+
+        >>> def change(array, increment=1, multiplier=1):
+        ...     return (array + increment) * multiplier
+        >>> sess2 = sess1.apply(change, 2, 2)
+        >>> sess2 = sess1.apply(change, 2, multiplier=2)
+        >>> sess2.arr1
+        a  a0  a1
+            4   6
+        >>> sess2.arr2
+        a  a0  a1  a2
+            4   6   8
+        """
+        kind = kwargs.pop('kind', LArray)
+        return Session([(k, func(v, *args, **kwargs) if isinstance(v, kind) else v) for k, v in self.items()])
+
     def summary(self, template=None):
         """
         Returns a summary of the content of the session.

From 6f593677ee326f281204f60a0bb88ab206991b3b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 21 Aug 2017 14:57:19 +0200
Subject: [PATCH 684/899] updated changelog (viewer: drag and drop on filters +
 frozen labels)

---
 doc/source/changes/version_0_25.rst.inc | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index f38f6c510..0778a0c68 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -9,6 +9,8 @@
   It contains a link to open the documentation, a shortcut to launch the user interface in edition mode
   and a shortcut to update larrayenv. Closes :issue:`281`.
 
+* added possibility to transpose an array in the viewer by dragging and dropping axes' names in the filter bar.
+
 * implemented array.align(other_array) which makes two arrays compatible with each other (by making all common axes
   compatible). This is done by adding, removing or reordering labels for each common axis according to the join method
   used:
@@ -213,6 +215,8 @@ Miscellaneous improvements
 
 * added icon to display in Windows start menu and editor windows.
 
+* viewer keeps labels visible even when scrolling (label rows and columns are now frozen).
+
 * added 'Getting Started' section in documentation.
 
 * stack can be used with keyword arguments when labels are "simple strings" (i.e. no integers, no punctuation,

From 5090637f11c7aebb3721ee061227bfb9820e103a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 15:22:31 +0200
Subject: [PATCH 685/899] implemented axes argument to ipfp to specify on which
 axes the fitting procedure should be applied.

also made it 10-20% faster, improved the docstring,
slightly improved a few error messages and added more tests
---
 doc/source/changes/version_0_25.rst.inc |  34 +++++-
 larray/extra/ipfp.py                    | 134 +++++++++++++++---------
 larray/tests/test_ipfp.py               | 119 +++++++++++++++++++--
 3 files changed, 225 insertions(+), 62 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 0778a0c68..0d7e550dd 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -79,7 +79,8 @@
      a2  -4  -5   0
 
 * implemented Session.transpose(axes) to reorder axes of all arrays within a session, ignoring missing axes for each
-  array. Let us first create a test session and a small helper function to display sessions as a short summary.
+  array. For example, let us first create a test session and a small helper function to display sessions as a short
+  summary.
 
     >>> arr1 = ndtest((2, 2, 2))
     >>> arr2 = ndtest((2, 2))
@@ -90,7 +91,7 @@
     arr1 -> a, b, c
     arr2 -> a, b
 
-  Put 'b' axis in front of all arrays
+  Put the 'b' axis in front of all arrays
 
     >>> print_summary(sess.transpose('b'))
     arr1 -> b, a, c
@@ -210,15 +211,38 @@
 Miscellaneous improvements
 --------------------------
 
-* implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
-  variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
-
 * added icon to display in Windows start menu and editor windows.
 
 * viewer keeps labels visible even when scrolling (label rows and columns are now frozen).
 
 * added 'Getting Started' section in documentation.
 
+* implemented axes argument to ipfp to specify on which axes the fitting procedure should be applied. For
+  example, let us assume you have a 3D array, such as:
+
+    >>> initial = ndrange('a=a0..a9;b=b0..b9;year=2000..2016')
+
+  and you want to apply a 2D fitting procedure for each value of the year axis. Previously, you had to loop on that
+  year axis explicitly and call ipfp within the loop, like:
+
+    >>> result = zeros(initial.axes)
+    >>> for year in initial.year:
+    ...     current = initial[year]
+    ...     # assume you have some targets for each year
+    ...     current_targets = [current.sum(x.a) + 1, current.sum(x.b) + 1]
+    ...     result[year] = ipfp(current_targets, current)
+
+  Now you can apply the procedure on all years at once, by telling you want to do the fitting procedure on the other
+  axes. This is a bit shorter to type, but this is also *much* faster.
+
+    >>> all_targets = [initial.sum(x.a) + 1, initial.sum(x.b) + 1]
+    >>> result = ipfp(all_targets, initial, axes=(x.a, x.b))
+
+* made ipfp 10 to 20% faster.
+
+* implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
+  variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
+
 * stack can be used with keyword arguments when labels are "simple strings" (i.e. no integers, no punctuation,
   no string starting with integers, etc.). This is an attractive alternative but as it only works in the usual case and
   not in all cases, it is not recommended to use it except in the interactive console.
diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index 4d033bc2a..4061a218d 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -30,7 +30,7 @@ def warn_or_raise(what, msg):
         print("WARNING: {}".format(msg))
 
 
-def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
+def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabort=10,
          nzvzs='raise', no_convergence='raise', display_progress=False):
     """Apply Iterative Proportional Fitting Procedure (also known as
     bi-proportional fitting in statistics, RAS algorithm in economics) to array
@@ -39,25 +39,27 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     Parameters
     ----------
     target_sums : tuple/list of array-like
-        target sums to achieve. First element must be the sum to achieve
+        Target sums to achieve. First element must be the sum to achieve
         along axis 0, the second the sum along axis 1, ...
     a : array-like, optional
-        starting values to fit, if not given starts with an array filled
+        Starting values to fit, if not given starts with an array filled
         with 1.
+    axes : list/tuple of axes, optional
+        Axes on which the fitting procedure should be applied. Defaults to all axes.
     maxiter : int, optional
-        maximum number of iteration, defaults to 1000.
+        Maximum number of iteration, defaults to 1000.
     threshold : float, optional
-        threshold below which the result is deemed acceptable, defaults to 0.5.
+        Threshold below which the result is deemed acceptable, defaults to 0.5.
     stepstoabort : int, optional
-        number of consecutive steps with no improvement after which to abort.
+        Number of consecutive steps with no improvement after which to abort.
         Defaults to 10.
     nzvzs : 'fix', 'warn' or 'raise', optional
-        behavior when detecting non zero values where the sum is zero
+        Behavior when detecting non zero values where the sum is zero
         'fix': set to zero (silently)
         'warn': set to zero and print a warning
         'raise': raise an exception (default)
     no_convergence : 'ignore', 'warn' or 'raise, optional
-        behavior when the algorithm does not seem to converge. This
+        Behavior when the algorithm does not seem to converge. This
         condition is triggered both when the maximum number of iteration is
         reached or when the maximum absolute difference between the target and
         the current sums does not improve for `stepstoabort` iterations.
@@ -65,8 +67,8 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         'warn': return values computed up to that point and print a warning
         'raise': raise an exception (default)
     display_progress : False, True or 'condensed', optional
-        whether or not to display progress. Defaults to False.
-        if 'condensed' will display progress using a denser template (using one
+        Whether or not to display progress. Defaults to False.
+        If 'condensed' will display progress using a denser template (using one
         line per iteration).
 
     Returns
@@ -105,14 +107,27 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
     target_sums = [aslarray(ts) for ts in target_sums]
 
     n = len(target_sums)
-    axes_names = ['axis%d' % i for i in range(n)]
-    new_target_sums = []
-    for i, ts in enumerate(target_sums):
-        ts_axes_names = axes_names[:i] + axes_names[i+1:]
-        new_ts = ts.rename({axis: axis.name if axis.name is not None else name
-                            for axis, name in zip(ts.axes, ts_axes_names)})
-        new_target_sums.append(new_ts)
-    target_sums = new_target_sums
+
+    if axes is None:
+        axes = list(range(n))
+
+    def has_anonymous_axes(a):
+        return any(axis.name is None for axis in a.axes)
+
+    if any(has_anonymous_axes(ts) for ts in target_sums):
+        if any(not isinstance(axis, int) for axis in axes):
+            raise ValueError("ipfp does not support target sums with anonymous axes when using the axes argument with"
+                             "non-integer (positional) axis references")
+
+        names_for_missing_axes = ['axis%d' % i for i in axes]
+        new_target_sums = []
+        for i, target_sum in zip(axes, target_sums):
+            ts_axes_names = names_for_missing_axes[:i] + names_for_missing_axes[i + 1:]
+            new_ts = target_sum.rename({axis: name
+                                        for axis, name in zip(target_sum.axes, ts_axes_names)
+                                        if axis.name is None})
+            new_target_sums.append(new_ts)
+        target_sums = new_target_sums
 
     if a is None:
         # reconstruct all axes from target_sums axes
@@ -132,8 +147,9 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         all_axes = first_axis + other_axes
         a = ones(all_axes, dtype=np.float64)
     else:
-        # TODO: this should be a builtin op
-        if isinstance(a, LArray):
+        # TODO: only make a copy if there are actually any bad values, but I am unsure we should make a copy at all.
+        # Either way, this should be documented.
+        if nzvzs in {'warn', 'fix'} and isinstance(a, LArray):
             a = a.copy()
         else:
             a = aslarray(a)
@@ -141,22 +157,23 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         a = a.rename({i: name if name is not None else 'axis%d' % i
                       for i, name in enumerate(a.axes.names)})
 
+    axes = a.axes[axes]
+
     # this test should only ever fail if the user passed larray for a and target sums
-    for i, axis_target in enumerate(target_sums):
-        expected_axes = a.axes - i
-        if axis_target.axes != expected_axes:
-            raise ValueError("axes of target sum along axis {} ({}) do not match corresponding array "
+    for axis, axis_target_sum in zip(axes, target_sums):
+        expected_axes = a.axes - axis
+        if axis_target_sum.axes != expected_axes:
+            raise ValueError("axes of target sum along {} (axis {}) do not match corresponding array "
                              "axes: got {} but expected {}. Are the target sums in the correct order?"
-                             .format(i, a.axes[i].name, axis_target.axes, expected_axes))
+                             .format(axis.name, a.axes.index(axis), axis_target_sum.axes, expected_axes))
 
     axis0_total = target_sums[0].sum()
-    for i, axis_target in enumerate(target_sums[1:], start=1):
-        axis_total = axis_target.sum()
+    for axis, axis_target_sum in zip(axes[1:], target_sums[1:]):
+        axis_total = axis_target_sum.sum()
         if str(axis_total) != str(axis0_total):
-            raise ValueError("target sum along %s (axis %d) is different "
-                             "than target sum along %s (axis %d): %s vs %s"
-                             % (a.axes[i], i,
-                                a.axes[0], 0,
+            raise ValueError("target sum along %s (axis %d) is different than target sum along %s (axis %d): %s vs %s"
+                             % (axis, a.axes.index(axis),
+                                axes[0], a.axes.index(axes[0]),
                                 axis_total, axis0_total))
 
     negative = a < 0
@@ -164,42 +181,59 @@ def ipfp(target_sums, a=None, maxiter=1000, threshold=0.5, stepstoabort=10,
         raise ValueError("negative value(s) found:\n%s"
                          % badvalues(a, negative))
 
-    for dim, axis_target in enumerate(target_sums):
-        axis_sum = a.sum(axis=dim)
-        bad = (axis_sum == 0) & (axis_target != 0)
+    for axis, axis_target_sum in zip(axes, target_sums):
+        axis_idx = a.axes.index(axis)
+        axis_sum = a.sum(axis)
+        bad = (axis_sum == 0) & (axis_target_sum != 0)
         if any(bad):
-            raise ValueError("found all zero values sum along %s (%d) but non "
+            raise ValueError("found all zero values sum along %s (axis %d) but non "
                              "zero target sum:\n%s"
-                             % (a.axes[dim].name, dim,
-                                badvalues(axis_target, bad)))
+                             % (axis.name, axis_idx, badvalues(axis_target_sum, bad)))
 
-        bad = (axis_sum != 0) & (axis_target == 0)
+        bad = (axis_sum != 0) & (axis_target_sum == 0)
         if any(bad):
             if nzvzs in {'warn', 'raise'}:
-                msg = "found non zero values sum along {} ({}) but zero " \
-                      "target sum".format(a.axes[dim].name, dim)
+                msg = "found Non Zero Values but Zero target Sum (nzvzs) along {} (axis {})".format(axis.name, axis_idx)
                 if nzvzs == 'raise':
-                    raise ValueError("{}:\n{}"
+                    raise ValueError("{}, use nzvzs='warn' or 'fix' to set them to zero automatically:\n{}"
                                      .format(msg, badvalues(axis_sum, bad)))
                 else:
                     print("WARNING: {}, setting them to zero:\n{}"
                           .format(msg, badvalues(axis_sum, bad)))
+
             a[bad] = 0
             # verify we did fix the problem
-            assert not np.any((a.sum(axis=dim) != 0) & (axis_target == 0))
+            assert not any((a.sum(axis) != 0) & (axis_target_sum == 0))
 
     r = a
     lastdiffs = deque([float('nan')], maxlen=stepstoabort)
+
+    # Here is the nice version of the algorithm
+
+    # for i in range(maxiter):
+    #     startr = r
+    #     for axis, axis_target in zip(axes, target_sums):
+    #         r = r * axis_target.divnot0(r.sum(axis))
+    #     max_sum_diff = max(abs(r.sum(axis) - axis_target).max()
+    #                        for axis, axis_target in zip(axes, target_sums))
+    #     step_sum_improvement = ...
+
+    # Here is the ugly optimized version which avoids computing the sum for the first axis twice per iteration
+    # (saves ~10-15% running time).
+    axis0_sum = r.sum(axes[0])
     for i in range(maxiter):
-        startr = r.copy()
-        for dim, axis_target in enumerate(target_sums):
-            axis_sum = r.sum(axis=dim)
-            factor = axis_target.divnot0(axis_sum)
-            r *= factor
-        stepcelldiff = abs(r - startr).max()
-        max_sum_diff = max(abs(r.sum(axis=dim) - axis_target).max()
-                         for dim, axis_target in enumerate(target_sums))
+        startr = r
+        r = r * target_sums[0].divnot0(axis0_sum)
+        for axis, axis_target in zip(axes[1:], target_sums[1:]):
+            r = r * axis_target.divnot0(r.sum(axis))
+
+        axes_sum = [r.sum(axis) for axis in axes]
+        max_sum_diff = max(abs(axis_sum - axis_target).max()
+                           for axis_sum, axis_target in zip(axes_sum, target_sums))
+        axis0_sum = axes_sum[0]
+
         step_sum_improvement = lastdiffs[-1] - max_sum_diff
+        stepcelldiff = abs(r - startr).max()
 
         if display_progress:
             if display_progress == "condensed":
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index d8cdaeaad..81fed3301 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -5,19 +5,19 @@
 import pytest
 
 from larray.tests.common import assert_array_equal
-from larray import Axis, LArray, ndrange, ipfp
+from larray import Axis, LArray, ndrange, ndtest, ipfp, x
 
 
 class TestIPFP(TestCase):
     def test_ipfp(self):
-        a = Axis(2, 'a')
-        b = Axis(2, 'b')
+        a = Axis('a=a0,a1')
+        b = Axis('b=b0,b1')
         initial = LArray([[2, 1], [1, 2]], [a, b])
 
         # array sums already match target sums
         # [3, 3], [3, 3]
         r = ipfp([initial.sum(a), initial.sum(b)], initial)
-        assert_array_equal(r, [[2, 1], [1, 2]])
+        assert_array_equal(r, initial)
 
         # array sums do not match target sums (ie the usual case)
         along_a = LArray([2, 1], b)
@@ -31,10 +31,115 @@ def test_ipfp(self):
                                [1.1538461538461537, 0.8461538461538463]])
 
         # inverted target sums
-        with self.assertRaisesRegexp(ValueError, "axes of target sum along axis 0 \(a\) do not match corresponding "
-                                                 "array axes: got {a\*} but expected {b\*}. Are the target sums in the "
+        with self.assertRaisesRegexp(ValueError, "axes of target sum along a \(axis 0\) do not match corresponding "
+                                                 "array axes: got {a} but expected {b}. Are the target sums in the "
                                                  "correct order\?"):
-            ipfp([along_b, along_a], initial, threshold=0.01)
+            ipfp([along_b, along_a], initial)
+
+        # different target sums totals
+        along_a = LArray([2, 1], b)
+        along_b = LArray([1, 3], a)
+        with self.assertRaisesRegexp(ValueError, "target sum along b \(axis 1\) is different than target sum along "
+                                                 "a \(axis 0\): 4 vs 3"):
+            ipfp([along_a, along_b], initial)
+
+        # all zero values
+        initial = LArray([[0, 0], [1, 2]], [a, b])
+        along_a = LArray([2, 1], b)
+        along_b = LArray([1, 2], a)
+        with self.assertRaisesRegexp(ValueError, "found all zero values sum along b \(axis 1\) but non zero target "
+                                                 "sum:\na0: 1"):
+            ipfp([along_a, along_b], initial)
+
+        # zero target sum
+        initial = LArray([[2, 1], [1, 2]], [a, b])
+        along_a = LArray([0, 1], b)
+        along_b = LArray([1, 0], a)
+        with self.assertRaisesRegexp(ValueError, "found Non Zero Values but Zero target Sum \(nzvzs\) along a "
+                                                 "\(axis 0\), use nzvzs='warn' or 'fix' to set them to zero "
+                                                 "automatically:\nb0: 3"):
+            ipfp([along_a, along_b], initial)
+
+        # negative initial values
+        initial = LArray([[2, -1], [1, 2]], [a, b])
+        with self.assertRaisesRegexp(ValueError, "negative value\(s\) found:\na0,b1: -1"):
+            ipfp([along_a, along_b], initial)
+
+    # def test_ipfp_big(self):
+    #     initial = ndtest((4000, 4000))
+    #     targets = [initial.sum(axis) for axis in initial.axes]
+    #     ipfp(targets, display_progress='condensed')
+
+    def test_ipfp_3d(self):
+        initial = ndtest((2, 2, 2))
+        initial_axes = initial.axes
+
+        # array sums already match target sums
+        targets = [initial.sum(axis) for axis in initial.axes]
+        r = ipfp(targets, initial)
+        assert_array_equal(r, initial)
+        self.assertEqual(r.axes, initial_axes)
+
+        # array sums do not match target sums (ie the usual case)
+        targets = [initial.sum(axis) + 1 for axis in initial.axes]
+        r = ipfp(targets, initial)
+        assert_array_equal(r, [[[0.0,               2.0],
+                                [2.688963210702341, 3.311036789297659]],
+                               [[4.551453540217585, 5.448546459782415],
+                                [6.450132391879964, 7.549867608120035]]])
+        self.assertEqual(r.axes, initial_axes)
+
+        # same as above but using a more precise threshold
+        r = ipfp(targets, initial, threshold=0.01)
+        assert_array_equal(r, [[[0.0,               1.9999999999999998],
+                                [2.994320023433978, 3.0056799765660225]],
+                               [[4.990248916408187, 5.009751083591813],
+                                [6.009541632308118, 7.990458367691883]]])
+        self.assertEqual(r.axes, initial_axes)
+
+    def test_ipfp_3d_with_axes(self):
+        initial = ndtest((2, 2, 2))
+        initial_axes = initial.axes
+
+        # array sums already match target sums (first axes)
+        axes = (x.a, x.b)
+        targets = [initial.sum(axis) for axis in axes]
+        r = ipfp(targets, initial, axes=axes)
+        assert_array_equal(r, initial)
+        self.assertEqual(r.axes, initial_axes)
+
+        # array sums already match target sums (other axes)
+        axes = (x.a, x.c)
+        targets = [initial.sum(axis) for axis in axes]
+        r = ipfp(targets, initial, axes=axes)
+        assert_array_equal(r, initial)
+        self.assertEqual(r.axes, initial_axes)
+
+        # array sums do not match target sums (ie the usual case) (first axes)
+        axes = (x.a, x.b)
+        targets = [initial.sum(axis) + 1 for axis in axes]
+        r = ipfp(targets, initial, axes=axes)
+        assert_array_equal(r, [[[0.0,               1.3059701492537312],
+                                [3.0,               3.6940298507462686]],
+                               [[4.680851063829787, 5.603448275862069 ],
+                                [6.319148936170213, 7.3965517241379315]]])
+        self.assertEqual(r.axes, initial_axes)
+        # check that the result is the same as N 2D ipfp calls
+        assert_array_equal(r['c0'], ipfp([t['c0'] for t in targets], initial['c0']))
+        assert_array_equal(r['c1'], ipfp([t['c1'] for t in targets], initial['c1']))
+
+        # array sums do not match target sums (ie the usual case) (other axes)
+        axes = (x.a, x.c)
+        targets = [initial.sum(axis) + 1 for axis in axes]
+        r = ipfp(targets, initial, axes=axes)
+        assert_array_equal(r, [[[0.0,               2.0              ],
+                                [2.432432432432432, 3.567567567567567]],
+                               [[4.615384615384615, 5.384615384615385],
+                                [6.539792387543252, 7.460207612456748]]])
+        self.assertEqual(r.axes, initial_axes)
+        # check that the result is the same as N 2D ipfp calls
+        assert_array_equal(r['b0'], ipfp([t['b0'] for t in targets], initial['b0']))
+        assert_array_equal(r['b1'], ipfp([t['b1'] for t in targets], initial['b1']))
 
     def test_ipfp_no_values(self):
         # 6, 12, 18

From 7702af15fbbc763876d3e6428c51968a26001f13 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 16:17:43 +0200
Subject: [PATCH 686/899] fixed docstring example in contribute.rst

---
 doc/source/contribute.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/contribute.rst b/doc/source/contribute.rst
index b80adbb71..9ce2c3540 100644
--- a/doc/source/contribute.rst
+++ b/doc/source/contribute.rst
@@ -77,8 +77,8 @@ We use Numpy conventions for docstrings. Here is a template: ::
           Description of arg2.
 
           * value1 -- description of value1 (default2)
-          * value1 -- description of value2
-          * value1 -- description of value3
+          * value2 -- description of value2
+          * value3 -- description of value3
       arg3 : type3 or type3bis, optional
           Description of arg3. Default is default3.
 

From 4e0f90e11339586d72468d712618b9889501b890 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 16:18:43 +0200
Subject: [PATCH 687/899] simplified AxisCollection.isaxis doctest

---
 larray/core/axis.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index 19db2048d..d61a3bcf8 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1386,14 +1386,14 @@ def isaxis(self, value):
 
         Examples
         --------
-        >>> age = Axis(range(20), 'age')
-        >>> sex = Axis('sex=M,F')
-        >>> col = AxisCollection([age, sex])
-        >>> col.isaxis(age)
+        >>> a = Axis('a=a0,a1')
+        >>> b = Axis('b=b0,b1')
+        >>> col = AxisCollection([a, b])
+        >>> col.isaxis(a)
         True
-        >>> col.isaxis('sex')
+        >>> col.isaxis('b')
         True
-        >>> col.isaxis('city')
+        >>> col.isaxis('c')
         False
         """
         # this is tricky. 0 and 1 can be both axes indices and axes ticks.

From e658348eb8dd8b73c732dc11e24d8adf249771f1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 16:22:26 +0200
Subject: [PATCH 688/899] link to corresponding issue (closes #185)

---
 doc/source/changes/version_0_25.rst.inc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 0d7e550dd..841b72072 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -217,8 +217,8 @@ Miscellaneous improvements
 
 * added 'Getting Started' section in documentation.
 
-* implemented axes argument to ipfp to specify on which axes the fitting procedure should be applied. For
-  example, let us assume you have a 3D array, such as:
+* implemented axes argument to ipfp to specify on which axes the fitting procedure should be applied (closes
+  :issue:`185`). For example, let us assume you have a 3D array, such as:
 
     >>> initial = ndrange('a=a0..a9;b=b0..b9;year=2000..2016')
 

From 412f24e8075e99ff3a9854244b0a80ba2ad36c16 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 17:06:38 +0200
Subject: [PATCH 689/899] standardize string formatting of ipfp to use .format
 instead of mixing that with %

---
 larray/extra/ipfp.py | 48 ++++++++++++++++++--------------------------
 1 file changed, 19 insertions(+), 29 deletions(-)

diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index 4061a218d..b2493fbbb 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -10,7 +10,7 @@
 def badvalues(a, bad_filter):
     bad_values = a[bad_filter]
     assert bad_values.ndim == 1
-    return '\n'.join('%s: %s' % (k, v) for k, v in zip(bad_values.axes[0], bad_values))
+    return '\n'.join('{}: {}'.format(k, v) for k, v in zip(bad_values.axes[0], bad_values))
 
 
 def f2str(f, threshold=2):
@@ -19,8 +19,7 @@ def f2str(f, threshold=2):
     use threshold as precision.
     """
     kind = "e" if f and math.log10(1 / abs(f)) > threshold else "f"
-    format_str = "%%.%d%s" % (threshold, kind)
-    return format_str % f
+    return "{:.{}{}}".format(f, threshold, kind)
 
 
 def warn_or_raise(what, msg):
@@ -119,7 +118,7 @@ def has_anonymous_axes(a):
             raise ValueError("ipfp does not support target sums with anonymous axes when using the axes argument with"
                              "non-integer (positional) axis references")
 
-        names_for_missing_axes = ['axis%d' % i for i in axes]
+        names_for_missing_axes = ['axis{}'.format(i) for i in axes]
         new_target_sums = []
         for i, target_sum in zip(axes, target_sums):
             ts_axes_names = names_for_missing_axes[:i] + names_for_missing_axes[i + 1:]
@@ -154,7 +153,7 @@ def has_anonymous_axes(a):
         else:
             a = aslarray(a)
         # TODO: this should be a builtin op
-        a = a.rename({i: name if name is not None else 'axis%d' % i
+        a = a.rename({i: name if name is not None else 'axis{}'.format(i)
                       for i, name in enumerate(a.axes.names)})
 
     axes = a.axes[axes]
@@ -171,24 +170,20 @@ def has_anonymous_axes(a):
     for axis, axis_target_sum in zip(axes[1:], target_sums[1:]):
         axis_total = axis_target_sum.sum()
         if str(axis_total) != str(axis0_total):
-            raise ValueError("target sum along %s (axis %d) is different than target sum along %s (axis %d): %s vs %s"
-                             % (axis, a.axes.index(axis),
-                                axes[0], a.axes.index(axes[0]),
-                                axis_total, axis0_total))
+            raise ValueError("target sum along {} (axis {}) is different than target sum along {} (axis {}): {} vs {}"
+                             .format(axis, a.axes.index(axis), axes[0], a.axes.index(axes[0]), axis_total, axis0_total))
 
     negative = a < 0
     if any(negative):
-        raise ValueError("negative value(s) found:\n%s"
-                         % badvalues(a, negative))
+        raise ValueError("negative value(s) found:\n{}".format(badvalues(a, negative)))
 
     for axis, axis_target_sum in zip(axes, target_sums):
         axis_idx = a.axes.index(axis)
         axis_sum = a.sum(axis)
         bad = (axis_sum == 0) & (axis_target_sum != 0)
         if any(bad):
-            raise ValueError("found all zero values sum along %s (axis %d) but non "
-                             "zero target sum:\n%s"
-                             % (axis.name, axis_idx, badvalues(axis_target_sum, bad)))
+            raise ValueError("found all zero values sum along {} (axis {}) but non zero target sum:\n{}"
+                             .format(axis.name, axis_idx, badvalues(axis_target_sum, bad)))
 
         bad = (axis_sum != 0) & (axis_target_sum == 0)
         if any(bad):
@@ -198,8 +193,7 @@ def has_anonymous_axes(a):
                     raise ValueError("{}, use nzvzs='warn' or 'fix' to set them to zero automatically:\n{}"
                                      .format(msg, badvalues(axis_sum, bad)))
                 else:
-                    print("WARNING: {}, setting them to zero:\n{}"
-                          .format(msg, badvalues(axis_sum, bad)))
+                    print("WARNING: {}, setting them to zero:\n{}".format(msg, badvalues(axis_sum, bad)))
 
             a[bad] = 0
             # verify we did fix the problem
@@ -237,28 +231,24 @@ def has_anonymous_axes(a):
 
         if display_progress:
             if display_progress == "condensed":
-                template = "it %d max cell diff %s max diff to target %s (%s)"
+                template = "it {} max cell diff {} max diff to target {} ({})"
             else:
-                template = """iteration %d
- * max(abs(prev_cell - cell)): %s
- * max(abs(sum - target_sum)): %s
-   \- change since last iteration: %s
+                template = """iteration {}
+ * max(abs(prev_cell - cell)): {}
+ * max(abs(sum - target_sum)): {}
+   \- change since last iteration: {}
 """
-            print(template % (i, f2str(stepcelldiff), f2str(max_sum_diff),
-                              f2str(step_sum_improvement)))
+            print(template.format(i, f2str(stepcelldiff), f2str(max_sum_diff), f2str(step_sum_improvement)))
 
         if np.all(np.array(lastdiffs) == max_sum_diff):
             if no_convergence in {'warn', 'raise'}:
-                warn_or_raise(no_convergence,
-                              "does not seem to converge (no improvement "
-                              "for %d consecutive steps), stopping here."
-                              % stepstoabort)
+                warn_or_raise(no_convergence, "does not seem to converge (no improvement for {} consecutive steps), "
+                                              "stopping here.".format(stepstoabort))
             return r
 
         if max_sum_diff < threshold:
             if display_progress:
-                print("acceptable max(abs(sum - target_sum)) found at "
-                      "iteration {}: {} < threshold ({})"
+                print("acceptable max(abs(sum - target_sum)) found at iteration {}: {} < threshold ({})"
                       .format(i, f2str(max_sum_diff), threshold))
             return r
 

From c0bcd824f08bd386d6bc4f6784c16a0fbba317ec Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 17:07:03 +0200
Subject: [PATCH 690/899] added doctests for ipfp f2str internal function

---
 larray/extra/ipfp.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index b2493fbbb..6702ce093 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -17,6 +17,23 @@ def f2str(f, threshold=2):
     """Return string representation of floating point number f. Use scientific
     notation if f would have more than threshold decimal digits, otherwise
     use threshold as precision.
+
+    Parameters
+    ----------
+    f : float
+        Number to represent.
+    threshold : int, optional
+        Precision (number of decimal digits displayed). If the number needs more digits, scientific notation will be
+        used.
+
+    Examples
+    --------
+    >>> f2str(55.1)
+    '55.10'
+    >>> f2str(1.234)
+    '1.23'
+    >>> f2str(0.002)
+    '2.00e-03'
     """
     kind = "e" if f and math.log10(1 / abs(f)) > threshold else "f"
     return "{:.{}{}}".format(f, threshold, kind)

From e2d62c49722ae9bffdfa6fe2e9601c03e05b7a38 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 21 Aug 2017 15:24:39 +0200
Subject: [PATCH 691/899] added axes= example in ipfp docstring

---
 doc/source/changes/version_0_25.rst.inc |  2 +-
 larray/extra/ipfp.py                    | 30 +++++++++++++++++++++++++
 2 files changed, 31 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 841b72072..13fdf008e 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -238,7 +238,7 @@ Miscellaneous improvements
     >>> all_targets = [initial.sum(x.a) + 1, initial.sum(x.b) + 1]
     >>> result = ipfp(all_targets, initial, axes=(x.a, x.b))
 
-* made ipfp 10 to 20% faster.
+* made ipfp 10 to 20% faster (even without using the axes argument).
 
 * implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
   variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index 6702ce093..34217d502 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -115,6 +115,36 @@ def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabo
     a\\b    b0    b1
      a0  0.85  0.15
      a1  1.15  0.85
+
+    Now let us assume you have a 3D array like this:
+
+    >>> year = Axis('year=2014..2016')
+    >>> initial = ndrange([a, b, year])
+    >>> initial
+     a  b\year  2014  2015  2016
+    a0      b0     0     1     2
+    a0      b1     3     4     5
+    a1      b0     6     7     8
+    a1      b1     9    10    11
+
+    and some targets for each year:
+
+    >>> btargets = initial.sum(x.a) + 1
+    >>> btargets
+    b\year  2014  2015  2016
+        b0     7     9    11
+        b1    13    15    17
+    >>> atargets = initial.sum(x.b) + 1
+    >>> atargets
+    a\year  2014  2015  2016
+        a0     4     6     8
+        a1    16    18    20
+
+    You want to apply a 2D fitting procedure for each value of that year axis. You could call ipfp within a loop on
+    the year axis, but you can also apply the procedure for all years at once by using the axes argument. This is
+    *much* faster than an explicit loop.
+
+    >>> result = ipfp([btargets, atargets], initial, axes=(x.a, x.b))
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}

From d86a52e0188ce6f1d8c7e4838c410448716165f9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 21 Aug 2017 16:14:29 +0200
Subject: [PATCH 692/899] implemented stacking sessions (#356)

---
 doc/source/changes/version_0_25.rst.inc |  60 +++++++++++++
 larray/core/array.py                    | 113 ++++++++++++++++--------
 2 files changed, 137 insertions(+), 36 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 13fdf008e..c905656a7 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -133,6 +133,66 @@
     a  a0  a1  a2  a3
         1   0   1   2
 
+* implemented stacking sessions using stack().
+
+  Let us first create two test sessions. For example suppose we have a session storing the results of a baseline
+  simulation:
+
+    >>> arr1 = ndtest(2)
+    >>> arr1
+    a  a0  a1
+        0   1
+    >>> arr2 = ndtest(3)
+    >>> arr2
+    a  a0  a1  a2
+        0   1   2
+    >>> baseline = Session([('arr1', arr1), ('arr2', arr2)])
+
+  and another session with a variant
+
+    >>> arr1variant = arr1 * 2
+    >>> arr1variant
+    a  a0  a1
+        0   2
+    >>> arr2variant = 2 - arr2 / 2
+    >>> arr2variant
+    a   a0   a1   a2
+       2.0  1.5  1.0
+    >>> variant = Session([('arr1', arr1variant), ('arr2', arr2variant)])
+
+  then we stack them together
+
+    >>> stacked = stack([('baseline', baseline), ('variant', variant)], 'sessions')
+    >>> stacked
+    Session(arr1, arr2)
+    >>> stacked.arr1
+    a\sessions  baseline  variant
+            a0         0        0
+            a1         1        2
+    >>> stacked.arr2
+    a\sessions  baseline  variant
+            a0       0.0      2.0
+            a1       1.0      1.5
+            a2       2.0      1.0
+
+  Combined with the fact that we can compute some very simple expressions on sessions, this can be extremely useful to
+  quickly compare all arrays of several sessions (e.g. simulation variants):
+
+    >>> diff = variant - baseline
+    >>> # compute the absolute difference and relative difference for each array of the sessions
+    >>> stacked = stack([('baseline', baseline),
+                         ('variant', variant),
+                         ('diff', diff),
+                         ('abs diff', abs(diff)),
+                         ('rel diff', diff / baseline)], 'sessions')
+    >>> stacked
+    Session(arr1, arr2)
+    >>> stacked.arr2
+    a\sessions  baseline  variant  diff  abs diff  rel diff
+            a0       0.0      2.0   2.0       2.0       inf
+            a1       1.0      1.5   0.5       0.5       0.5
+            a2       2.0      1.0  -1.0       1.0      -0.5
+
 * implemented Axis.align(other_axis) and AxisCollection.align(other_collection) which makes two axes / axis collections
   compatible with each other, see LArray.align above.
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 4260f6701..70ea7613c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -104,7 +104,7 @@
 from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
 from larray.core.axis import Axis, AxisReference, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, _isnoneslice, light_product)
+                              float_error_handler_factory, _isnoneslice, light_product, unique_list)
 
 nan = np.nan
 
@@ -7563,16 +7563,19 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 #       ('FR', 'M'): 2, ('FR', 'F'): 3,
 #       ('DE', 'M'): 4, ('DE', 'F'): 5})
 
-def stack(arrays=None, axis=None, title='', **kwargs):
+def stack(elements=None, axis=None, title='', **kwargs):
     """
-    Combines several arrays along an axis.
+    Combines several arrays or sessions along an axis.
 
     Parameters
     ----------
-    arrays : tuple, list or dict.
-        Arrays to stack. values can be scalars, arrays, (label, value) pairs or a {label: value} mapping. In the
-        later case, axis must be defined and cannot be a name only, because we need to have labels order,
+    elements : tuple, list or dict.
+        Elements to stack. Elements can be scalars, arrays, sessions, (label, value) pairs or a {label: value} mapping.
+        In the later case, axis must be defined and cannot be a name only, because we need to have labels order,
         which the mapping does not provide.
+
+        Stacking sessions will return a new session containing the arrays of all sessions stacked together. An array
+        missing in a session will be replaced by NaN.
     axis : str or Axis, optional
         Axis to create. If None, defaults to a range() axis.
     title : str, optional
@@ -7648,56 +7651,94 @@ def stack(arrays=None, axis=None, title='', **kwargs):
     nat\\sex    M    F
          BE  1.0  0.0
          FO  1.0  0.0
+
+    To stack sessions, let us first create two test sessions. For example suppose we have a session storing the results
+    of a baseline simulation:
+
+    >>> from larray import Session
+    >>> baseline = Session([('arr1', arr1), ('arr2', arr2)])
+
+    and another session with a variant (here we simply added 0.5 to each array)
+
+    >>> variant = Session([('arr1', arr1 + 0.5), ('arr2', arr2 + 0.5)])
+
+    then we stack them together
+
+    >>> stacked = stack([('baseline', baseline), ('variant', variant)], 'sessions')
+    >>> stacked
+    Session(arr1, arr2)
+    >>> stacked.arr1
+    nat\sessions  baseline  variant
+              BE       1.0      1.5
+              FO       1.0      1.5
+    >>> stacked.arr2
+    nat\sessions  baseline  variant
+              BE       0.0      0.5
+              FO       0.0      0.5
     """
+    from larray import Session
+
     if isinstance(axis, str) and '=' in axis:
         axis = Axis(axis)
-    if arrays is None:
+    if elements is None:
         if not isinstance(axis, Axis) and sys.version_info[:2] < (3, 6):
             raise TypeError("axis argument should provide label order when using keyword arguments on Python < 3.6")
-        arrays = kwargs.items()
+        elements = kwargs.items()
     elif kwargs:
-        raise TypeError("stack() accept either keyword arguments OR a collection of arrays, not both")
+        raise TypeError("stack() accept either keyword arguments OR a collection of elements, not both")
 
-    if isinstance(axis, Axis) and all(isinstance(a, tuple) for a in arrays):
-        assert all(len(a) == 2 for a in arrays)
-        arrays = {k: v for k, v in arrays}
+    if isinstance(axis, Axis) and all(isinstance(e, tuple) for e in elements):
+        assert all(len(e) == 2 for e in elements)
+        elements = {k: v for k, v in elements}
 
-    if isinstance(arrays, LArray):
+    if isinstance(elements, LArray):
         if axis is None:
             axis = -1
-        axis = arrays.axes[axis]
-        values = [arrays[k] for k in axis]
-    elif isinstance(arrays, dict):
+        axis = elements.axes[axis]
+        values = [elements[k] for k in axis]
+    elif isinstance(elements, dict):
         assert isinstance(axis, Axis)
-        values = [arrays[v] for v in axis.labels]
-    elif isinstance(arrays, Iterable):
-        if not isinstance(arrays, Sequence):
-            arrays = list(arrays)
-
-        if all(isinstance(a, tuple) for a in arrays):
-            assert all(len(a) == 2 for a in arrays)
-            keys = [k for k, v in arrays]
-            values = [v for k, v in arrays]
+        values = [elements[v] for v in axis.labels]
+    elif isinstance(elements, Iterable):
+        if not isinstance(elements, Sequence):
+            elements = list(elements)
+
+        if all(isinstance(e, tuple) for e in elements):
+            assert all(len(e) == 2 for e in elements)
+            keys = [k for k, v in elements]
+            values = [v for k, v in elements]
             assert all(np.isscalar(k) for k in keys)
             # this case should already be handled
             assert not isinstance(axis, Axis)
             # axis should be None or str
             axis = Axis(keys, axis)
         else:
-            values = arrays
+            values = elements
             if axis is None or isinstance(axis, basestring):
-                axis = Axis(len(arrays), axis)
+                axis = Axis(len(elements), axis)
             else:
-                assert len(axis) == len(arrays)
+                assert len(axis) == len(elements)
     else:
-        raise TypeError('unsupported type for arrays: %s' % type(arrays).__name__)
-
-    result_axes = AxisCollection.union(*[get_axes(v) for v in values])
-    result_axes.append(axis)
-    result = empty(result_axes, title=title, dtype=common_type(values))
-    for k, v in zip(axis, values):
-        result[k] = v
-    return result
+        raise TypeError('unsupported type for arrays: %s' % type(elements).__name__)
+
+    if any(isinstance(v, Session) for v in values):
+        sessions = values
+        if not all(isinstance(s, Session) for s in sessions):
+            raise TypeError("stack() only supports stacking Session with other Session objects")
+
+        seen = set()
+        all_keys = []
+        for s in sessions:
+            unique_list(s.keys(), all_keys, seen)
+        return Session([(k, stack([s.get(k, np.nan) for s in sessions], axis=axis))
+                        for k in all_keys])
+    else:
+        result_axes = AxisCollection.union(*[get_axes(v) for v in values])
+        result_axes.append(axis)
+        result = empty(result_axes, title=title, dtype=common_type(values))
+        for k, v in zip(axis, values):
+            result[k] = v
+        return result
 
 
 def get_axes(value):

From 3d9e3f16fa320ea7e3392217d0cc84e6b71d75f7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 18 Jul 2017 18:49:36 +0200
Subject: [PATCH 693/899] support patterns when loading several .csv files as a
 session

---
 doc/source/changes/version_0_25.rst.inc |  7 +++++
 larray/core/session.py                  | 23 +++++++++-----
 larray/io/session.py                    | 40 +++++++++++++++++--------
 3 files changed, 51 insertions(+), 19 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index c905656a7..22523423d 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -303,6 +303,13 @@ Miscellaneous improvements
 * implemented Session.to_globals(inplace=True) which will update the content of existing arrays instead of creating new
   variables and overwriting them. This ensures the arrays have the same axes in the session than the existing variables.
 
+* added the ability to provide a pattern when loading several .csv files as a session. Among others, patterns can use *
+  to match any number of characters and ? to match any single character.
+
+  >>> s = Session()
+  >>> # load all .csv files starting with "output" in the data directory
+  >>> s.load('data/output*.csv')
+
 * stack can be used with keyword arguments when labels are "simple strings" (i.e. no integers, no punctuation,
   no string starting with integers, etc.). This is an attractive alternative but as it only works in the usual case and
   not in all cases, it is not recommended to use it except in the interactive console.
diff --git a/larray/core/session.py b/larray/core/session.py
index cdf4ed4fd..b1b6999a8 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -182,7 +182,7 @@ def __setstate__(self, d):
 
     def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         """
-        Loads array objects from a file.
+        Loads array objects from a file, or several .csv files.
 
         WARNING: never load a file using the pickle engine (.pkl or .pickle) from an untrusted source, as it can lead
         to arbitrary code execution.
@@ -190,7 +190,8 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         Parameters
         ----------
         fname : str
-            Path to the file.
+            This can be either the path to a single file, a path to a directory containing .csv files or a pattern
+            representing several .csv files.
         names : list of str, optional
             List of arrays to load. If `fname` is None, list of paths to CSV files.
             Defaults to all valid objects present in the file/directory.
@@ -198,16 +199,15 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
             Load using `engine`. Defaults to 'auto' (use default engine for
             the format guessed from the file extension).
         display : bool, optional
-            whether or not to display which file is being worked on. Defaults
-            to False.
+            Whether or not to display which file is being worked on. Defaults to False.
 
         Examples
         --------
         In one module
 
-        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))  # doctest: +SKIP
-        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)]) # doctest: +SKIP
-        >>> s.save('input.h5')  # doctest: +SKIP
+        >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))   # doctest: +SKIP
+        >>> s = Session([('arr1', arr1), ('arr2', arr2), ('arr3', arr3)])  # doctest: +SKIP
+        >>> s.save('input.h5')                                             # doctest: +SKIP
 
         In another module
 
@@ -216,6 +216,15 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
         >>> arr1, arr2, arr3 = s['arr1', 'arr2', 'arr3']  # doctest: +SKIP
         >>> # only if you know the order of arrays stored in session
         >>> arr1, arr2, arr3 = s.values()                 # doctest: +SKIP
+
+        Using .csv files (assuming the same session as above)
+
+        >>> s.save('data')                                # doctest: +SKIP
+        >>> s = Session()                                 # doctest: +SKIP
+        >>> # load all .csv files starting with "output" in the data directory
+        >>> s.load('data')                                # doctest: +SKIP
+        >>> # or equivalently in this case
+        >>> s.load('data/arr*.csv')                       # doctest: +SKIP
         """
         if display:
             print("opening", fname)
diff --git a/larray/io/session.py b/larray/io/session.py
index 08f225428..aaf2ff0b0 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -1,6 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
 import os
+from glob import glob
 from collections import OrderedDict
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
@@ -207,28 +208,43 @@ def close(self):
 
 
 class PandasCSVHandler(FileHandler):
+    def __init__(self, fname):
+        super(PandasCSVHandler, self).__init__(fname)
+        if fname is None:
+            self.pattern = None
+            self.directory = None
+        elif '.csv' in fname or '*' in fname or '?' in fname:
+            self.pattern = fname
+            self.directory = os.path.dirname(fname)
+        else:
+            # assume fname is a directory.
+            # Not testing for os.path.isdir(fname) here because when writing, the directory might not exist.
+            self.pattern = os.path.join(fname, '*.csv')
+            self.directory = fname
+
     def _open_for_read(self):
-        pass
+        if self.directory and not os.path.isdir(self.directory):
+            raise ValueError("Directory '{}' does not exist".format(self.directory))
 
     def _open_for_write(self):
-        if self.fname is not None:
+        if self.directory is not None:
             try:
-                os.makedirs(self.fname)
+                os.makedirs(self.directory)
             except OSError:
-                if not os.path.isdir(self.fname):
-                    raise ValueError("Path {} must represent a directory".format(self.fname))
+                if not os.path.isdir(self.directory):
+                    raise ValueError("Path {} must represent a directory".format(self.directory))
 
     def list(self):
+        fnames = glob(self.pattern) if self.pattern is not None else []
+        # drop directory
+        fnames = [os.path.basename(fname) for fname in fnames]
         # strip extension from files
-        # TODO: also support fname pattern, eg. "dump_*.csv" (using glob)
-        if self.fname is not None:
-            return sorted([os.path.splitext(fname)[0] for fname in os.listdir(self.fname) if '.csv' in fname])
-        else:
-            return []
+        # XXX: unsure we should use sorted here
+        return sorted([os.path.splitext(fname)[0] for fname in fnames])
 
     def _to_filepath(self, key):
-        if self.fname is not None:
-            return os.path.join(self.fname, '{}.csv'.format(key))
+        if self.directory is not None:
+            return os.path.join(self.directory, '{}.csv'.format(key))
         else:
             return key
 

From 1034577d197050d8cee719904e0d3df6400a0568 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 8 Aug 2017 17:54:04 +0200
Subject: [PATCH 694/899] added optional argument `ignore_exceptions` to
 Session.load

---
 doc/source/changes/version_0_25.rst.inc |  4 ++++
 larray/io/session.py                    | 19 +++++++++++++++----
 2 files changed, 19 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 22523423d..451761f37 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -340,6 +340,10 @@ Miscellaneous improvements
   arrays by computing the difference between them but a few arrays contain strings, the whole operation will not fail,
   the concerned arrays will be assigned a nan instead.
 
+* added optional argument `ignore_exceptions` to Session.load to ignore exceptions during load. This is mostly useful
+  when trying to load many .csv files in a Session and some of them have an invalid format but you want to load the
+  others.
+
 
 Fixes
 -----
diff --git a/larray/io/session.py b/larray/io/session.py
index aaf2ff0b0..167de5450 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -78,9 +78,15 @@ def read_arrays(self, keys, *args, **kwargs):
         ----------
         keys : list of str
             List of arrays' names.
-        kwargs :
-            * display: a small message is displayed to tell when
-              an array is started to be read and when it's done.
+        *args : any
+            Any other argument is passed through to the underlying read function.
+        display : bool, optional
+            Whether or not the function should display a message when starting and ending to load each array.
+            Defaults to False.
+        ignore_exceptions : bool, optional
+            Whether or not an exception should stop the function or be ignored. Defaults to False.
+        **kwargs : any
+            Any other keyword argument is passed through to the underlying read function.
 
         Returns
         -------
@@ -88,6 +94,7 @@ def read_arrays(self, keys, *args, **kwargs):
             Dictionary containing the loaded arrays.
         """
         display = kwargs.pop('display', False)
+        ignore_exceptions = kwargs.pop('ignore_exceptions', False)
         self._open_for_read()
         res = OrderedDict()
         if keys is None:
@@ -95,7 +102,11 @@ def read_arrays(self, keys, *args, **kwargs):
         for key in keys:
             if display:
                 print("loading", key, "...", end=' ')
-            res[key] = self._read_array(key, *args, **kwargs)
+            try:
+                res[key] = self._read_array(key, *args, **kwargs)
+            except Exception:
+                if not ignore_exceptions:
+                    raise
             if display:
                 print("done")
         self.close()

From 99dfdc325a28f48c558e77297897725b09fc8a03 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Aug 2017 11:09:05 +0200
Subject: [PATCH 695/899] added tests for Session.load using a pattern and
 using ignore_exceptions

also cleanup our junk after the test is done
---
 larray/tests/test_session.py | 41 ++++++++++++++++++++++++++++++------
 1 file changed, 34 insertions(+), 7 deletions(-)

diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 6f3fc9167..54d7cc84a 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -1,9 +1,11 @@
 from __future__ import absolute_import, division, print_function
 
 import os
+import shutil
 from unittest import TestCase
 
 import numpy as np
+import pandas as pd
 import pytest
 
 from larray.tests.common import assert_array_nan_equal, abspath
@@ -197,13 +199,38 @@ def test_xlsx_xlwings_io(self):
         self.assertEqual(list(s.keys()), ['e', 'f'])
 
     def test_csv_io(self):
-        fpath = abspath('test_session_csv')
-        self.session.to_csv(fpath)
-
-        s = Session()
-        s.load(fpath, engine='pandas_csv')
-        # CSV cannot keep ordering (so we always sort keys)
-        self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
+        try:
+            fpath = abspath('test_session_csv')
+            self.session.to_csv(fpath)
+
+            # test loading a directory
+            s = Session()
+            s.load(fpath, engine='pandas_csv')
+            # CSV cannot keep ordering (so we always sort keys)
+            self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
+
+            # test loading with a pattern
+            pattern = os.path.join(fpath, '*.csv')
+            s = Session(pattern)
+            # s = Session()
+            # s.load(pattern)
+            self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
+
+            # create an invalid .csv file
+            invalid_fpath = os.path.join(fpath, 'invalid.csv')
+            with open(invalid_fpath, 'w') as f:
+                f.write(',",')
+
+            # try loading the directory with the invalid file
+            with pytest.raises(pd.errors.ParserError) as e_info:
+                s = Session(pattern)
+
+            # test loading a pattern, ignoring invalid/unsupported files
+            s = Session()
+            s.load(pattern, ignore_exceptions=True)
+            self.assertEqual(list(s.keys()), ['e', 'f', 'g'])
+        finally:
+            shutil.rmtree(fpath)
 
     def test_pickle_io(self):
         fpath = abspath('test_session.pkl')

From 8d2666008d43a4172ee28f63d05e420cc6e69640 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Aug 2017 11:53:24 +0200
Subject: [PATCH 696/899] bump version to 0.25

---
 condarecipe/larray/meta.yaml | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 9e9c9a8d5..2b14a6e07 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.24.1
+  version: 0.25
 
 source:
-  git_tag: 0.24.1
+  git_tag: 0.25
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/larray/__init__.py b/larray/__init__.py
index e1e500b8a..47799fc06 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.24.1"
+__version__ = "0.25"
diff --git a/setup.py b/setup.py
index 398a42011..ce59bfcd7 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.24.1'
+VERSION = '0.25'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 9f2615803bfe1a60e5233c8c457c2e846662db84 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Aug 2017 11:58:15 +0200
Subject: [PATCH 697/899] use expicit versions for our own packages so that we
 always depend on the latest version

---
 make_meta_package.bat | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_meta_package.bat b/make_meta_package.bat
index 9e6efe2ef..3a3628681 100644
--- a/make_meta_package.bat
+++ b/make_meta_package.bat
@@ -1 +1 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" larray_eurostat larray-editor qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
+conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==0.1" "larray_eurostat ==0.1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings

From 999055309cb9a288a6b3e9510c274e625e8f348b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 22 Aug 2017 13:16:40 +0200
Subject: [PATCH 698/899] include 0.25 changes in changelog

---
 doc/source/changes.rst | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 14a9f51d6..3dc80d688 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.25
+==============
+
+Released on 2017-08-22.
+
+.. include:: ./changes/version_0_25.rst.inc
+
+
 Version 0.24.1
 ==============
 

From fcfffe1ac23243f9d1df257f3d342b9c02a13802 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 16:23:14 +0200
Subject: [PATCH 699/899] added new changelog file (version 0.25.1)

---
 doc/source/changes/version_0_25_1.rst.inc | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 doc/source/changes/version_0_25_1.rst.inc

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
new file mode 100644
index 000000000..1267d27dd
--- /dev/null
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file

From 008467f78ff7dc8d48e3b8b9131291112a0456df Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 11:05:59 +0200
Subject: [PATCH 700/899] updated test_setitem_larray (issue 269)

---
 larray/tests/test_array.py | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index a799d54dc..910d9b15b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -836,8 +836,7 @@ def test_setitem_larray(self):
         raw_value = raw[[1, 5, 9], np.newaxis] + 26.0
         fake_axis = Axis(['label'], 'fake')
         age_axis = la[ages1_5_9].axes.age
-        value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex,
-                                        self.lipro))
+        value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex, self.lipro))
         la[ages1_5_9] = value
         raw[[1, 5, 9]] = raw[[1, 5, 9]] + 26.0
         assert_array_equal(la, raw)
@@ -871,8 +870,8 @@ def test_setitem_larray(self):
         # 3) using a string key
         la = self.larray.copy()
         raw = self.array.copy()
-        la[[1, 5, 9]] = la[[2, 7, 3]] + 27.0
-        raw[[1, 5, 9]] = raw[[2, 7, 3]] + 27.0
+        la['1, 5, 9'] = la['1, 5, 9'] + 27.0
+        raw[[1, 5, 9]] = raw[[1, 5, 9]] + 27.0
         assert_array_equal(la, raw)
 
         # 4) using ellipsis keys
@@ -893,6 +892,14 @@ def test_setitem_larray(self):
         la[:] = 0
         assert_array_equal(la, np.zeros_like(raw))
 
+        # 6) check labels
+        la = self.larray.copy()
+        sla = self.small.copy()
+        with pytest.raises(ValueError):
+            la['M,F'] = la['F,M']
+        with pytest.raises(ValueError):
+            la[1, 'A11', 'M,F'] = sla['F,M']
+
     def test_setitem_ndarray(self):
         """
         tests LArray.__setitem__(key, value) where value is a raw ndarray.

From 64f8fe87683909ba3e583c50cd6a16a5f7a12d4b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 15:04:23 +0200
Subject: [PATCH 701/899] fix #269 : labels are checked in LArray.setitem when
 passed value is an LArray.

---
 larray/core/array.py | 13 +++++--------
 1 file changed, 5 insertions(+), 8 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 70ea7613c..6dfd8e227 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2179,11 +2179,9 @@ def __setitem__(self, key, value, collapse_slices=True):
         data = np.asarray(self.data)
         translated_key = self._translated_key(key)
 
-        if isinstance(key, (LArray, np.ndarray)) and \
-                np.issubdtype(key.dtype, np.bool_):
+        if isinstance(key, (LArray, np.ndarray)) and np.issubdtype(key.dtype, np.bool_):
             if isinstance(value, LArray):
-                new_axes = self._bool_key_new_axes(translated_key,
-                                                   wildcard_allowed=True)
+                new_axes = self._bool_key_new_axes(translated_key, wildcard_allowed=True)
                 value = value.broadcast_with(new_axes)
             data[translated_key] = value
             return
@@ -2200,14 +2198,13 @@ def __setitem__(self, key, value, collapse_slices=True):
                 # when adv indexing is needed, cross_key converts scalars to lists
                 # of 1 element, which does not remove the dimension like scalars
                 # normally do
-                axes = [axis.subaxis(axis_key) if not np.isscalar(axis_key)
-                        else Axis(1, axis.name)
+                axes = [axis.subaxis(axis_key) if not np.isscalar(axis_key) else Axis(1, axis.name)
                         for axis, axis_key in zip(self.axes, translated_key)]
             else:
-                axes = [axis.subaxis(axis_key)
-                        for axis, axis_key in zip(self.axes, translated_key)
+                axes = [axis.subaxis(axis_key) for axis, axis_key in zip(self.axes, translated_key)
                         if not np.isscalar(axis_key)]
             value = value.broadcast_with(axes)
+            value.axes.check_compatible(axes)
         else:
             # if value is a "raw" ndarray we rely on numpy broadcasting
             pass

From 1eb57a31050132a498dc28222593529f89177941 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 15:43:45 +0200
Subject: [PATCH 702/899] updated doctests of set method + test_set (related to
 issue 269)

---
 larray/core/array.py       | 6 +++---
 larray/tests/test_array.py | 7 +++----
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 6dfd8e227..704fa2b79 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2314,12 +2314,12 @@ def set(self, value, **kwargs):
          a0   0   1   2
          a1   3  10  10
          a2   6  10  10
-        >>> arr['a1:', 'b1:'].set(ndtest((2, 2)))
+        >>> arr[':a1', ':b1'].set(ndtest((2, 2)))
         >>> arr
         a\\b  b0  b1  b2
          a0   0   1   2
-         a1   3   0   1
-         a2   6   2   3
+         a1   2   3  10
+         a2   6  10  10
         """
         self.__setitem__(kwargs, value)
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 910d9b15b..8d93e2d85 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -1018,8 +1018,7 @@ def test_set(self):
         raw_value = raw[[1, 5, 9], np.newaxis] + 26.0
         fake_axis = Axis(['label'], 'fake')
         age_axis = la[ages1_5_9].axes.age
-        value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex,
-                                        self.lipro))
+        value = LArray(raw_value, axes=(age_axis, fake_axis, self.geo, self.sex, self.lipro))
         la.set(value, age=ages1_5_9)
         raw[[1, 5, 9]] = raw[[1, 5, 9]] + 26.0
         assert_array_equal(la, raw)
@@ -1041,8 +1040,8 @@ def test_set(self):
         # 2) using a raw key
         la = self.larray.copy()
         raw = self.array.copy()
-        la.set(la[[2, 7, 3]] + 27.0, age=[1, 5, 9])
-        raw[[1, 5, 9]] = raw[[2, 7, 3]] + 27.0
+        la.set(la[[1, 5, 9]] + 27.0, age=[1, 5, 9])
+        raw[[1, 5, 9]] = raw[[1, 5, 9]] + 27.0
         assert_array_equal(la, raw)
 
     def test_filter(self):

From 15035915e58e11c56d126ab3db52b5a0d8a63200 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 16:52:19 +0200
Subject: [PATCH 703/899] updated changelog 0.25.1 --> issue 269

---
 doc/source/changes/version_0_25_1.rst.inc | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 1267d27dd..5148707e3 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -10,7 +10,23 @@ New features
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* setting values of a subset using another LArray is allowed only if axes and labels are compatible.
+  For example:
+
+    >>> arr = ndtest(4)
+    >>> arr
+    a  a0  a1  a2  a3
+        0   1   2   3
+    >>> arr['a2:'] = arr[':a1']
+    ...
+    ValueError: incompatible axes:
+    Axis(['a2', 'a3'], 'a')
+    vs
+    Axis(['a0', 'a1'], 'a')
+
+  is not allowed and raises a ValueError (closes :issue:`269`).
+
+
 
 Fixes
 -----

From 7a5d825385a5a64b395e8412a8c3817a3ae358c8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 23 Aug 2017 16:54:25 +0200
Subject: [PATCH 704/899] updated changelog 0.25.1 --> fixed crash from filters
 when switching between arrays in viewer.

---
 doc/source/changes/version_0_25_1.rst.inc | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 5148707e3..d344956bc 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -27,8 +27,7 @@ Miscellaneous improvements
   is not allowed and raises a ValueError (closes :issue:`269`).
 
 
-
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed error raised in viewer when switching between arrays.

From 45e737d62ae6f4901f2058828956ddcd17953e56 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 09:38:29 +0200
Subject: [PATCH 705/899] updated changelog 0.25.1

---
 doc/source/changes/version_0_25_1.rst.inc | 24 ++++++++++++++---------
 1 file changed, 15 insertions(+), 9 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index d344956bc..84b612dce 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -10,24 +10,30 @@ New features
 Miscellaneous improvements
 --------------------------
 
-* setting values of a subset using another LArray is allowed only if axes and labels are compatible.
-  For example:
+* some improvement.
+
+Fixes
+-----
+
+* fixed error raised in viewer when switching between arrays when a filter was set.
+
+* fixed displaying empty array when starting the viewer or a new session in it.
+
+* setting values of a subset using another LArray is allowed only if axes and labels are compatible
+  (closes :issue:`269`). For example:
 
     >>> arr = ndtest(4)
     >>> arr
     a  a0  a1  a2  a3
         0   1   2   3
     >>> arr['a2:'] = arr[':a1']
-    ...
     ValueError: incompatible axes:
     Axis(['a2', 'a3'], 'a')
     vs
     Axis(['a0', 'a1'], 'a')
 
-  is not allowed and raises a ValueError (closes :issue:`269`).
-
-
-Fixes
------
+  is not allowed. To set values using a LArray with incompatible labels, use the method
+  `set_labels` or `drop_labels`:
 
-* fixed error raised in viewer when switching between arrays.
+    >>> arr['a2:'] = arr[':a1'].set_labels('a', 'a2,a3')
+    >>> arr['a2:'] = arr[':a1'].drop_labels('a')

From 97794a5968fe4e02854bd27dad00547257b10c55 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Aug 2017 14:19:42 +0200
Subject: [PATCH 706/899] updated changelog 0.25.1 --> issues 43 and 44 of
 larray-editor project.

---
 doc/source/changes/version_0_25_1.rst.inc | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 84b612dce..b550e20af 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -19,6 +19,10 @@ Fixes
 
 * fixed displaying empty array when starting the viewer or a new session in it.
 
+* fixed the `view()`, `edit()` and `compare()` functions not being available in the viewer console.
+
+* fixed row and column resizing by double clicking on the edge of an header cell.
+
 * setting values of a subset using another LArray is allowed only if axes and labels are compatible
   (closes :issue:`269`). For example:
 

From 1db918464aefd885ace9b99daf9a4839ef94fa96 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 25 Aug 2017 14:35:42 +0200
Subject: [PATCH 707/899] fixed array.points[key] = value when value is an
 LArray (and broadcasting is necessary). Closes #368.

---
 doc/source/changes/version_0_25_1.rst.inc | 2 ++
 larray/core/array.py                      | 3 +++
 larray/tests/test_array.py                | 8 ++++++++
 3 files changed, 13 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index b550e20af..cbd54bcac 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -41,3 +41,5 @@ Fixes
 
     >>> arr['a2:'] = arr[':a1'].set_labels('a', 'a2,a3')
     >>> arr['a2:'] = arr[':a1'].drop_labels('a')
+
+* fixed setting an array values using `array.points[key] = value` when value is an LArray (closes :issue:`368`).
diff --git a/larray/core/array.py b/larray/core/array.py
index 704fa2b79..f83e076d1 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -427,6 +427,9 @@ def __getitem__(self, key):
     def __setitem__(self, key, value):
         data = np.asarray(self.array)
         translated_key = self.array._translated_key(key, bool_stuff=True)
+        if isinstance(value, LArray):
+            axes = self.array._bool_key_new_axes(translated_key, wildcard_allowed=True)
+            value = value.broadcast_with(axes)
         data[translated_key] = value
 
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 8d93e2d85..511ced84e 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -806,6 +806,14 @@ def test_points_indexer_setitem(self):
         with self.assertRaises(ValueError):
             arr.points['a0', 'b1'] = 42
 
+        # test when broadcasting is involved
+        arr = ndtest((2, 3, 4))
+        data = arr.data.copy()
+        value = data[:, 0, 0].reshape(2, 1)
+        data[:, [0, 1, 2], [0, 1, 2]] = value
+        arr.points['b0,b1,b2', 'c0,c1,c2'] = arr['b0', 'c0']
+        assert_array_equal(arr, data)
+
     def test_setitem_larray(self):
         """
         tests LArray.__setitem__(key, value) where value is an LArray

From 9876d8a92dbd4b7325d2b249f5986f639e7d8a91 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Aug 2017 16:01:26 +0200
Subject: [PATCH 708/899] fixed #350 : made arr['int..int'] works and updated
 test_getitem()

---
 larray/core/axis.py        | 3 +++
 larray/tests/test_array.py | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index d61a3bcf8..37b91f2b6 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -659,6 +659,9 @@ def translate(self, key, bool_passthrough=True):
             # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
             key = _to_key(key)
 
+        if not PY2 and isinstance(key, range):
+            key = list(key)
+
         if isinstance(key, PGroup):
             assert key.axis is self
             return key.key
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 511ced84e..baefc9f81 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -253,6 +253,9 @@ def test_getitem(self):
         # Ellipsis and LGroup
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
+        # string 'int..int'
+        assert_array_equal(la['10..15'], la['10,11,12,13,14,15'])
+
         # ambiguous label
         arr = ndrange("a=l0,l1;b=l1,l2")
         res = arr[arr.b['l1']]

From 266cd0c43cf3d5d3a9d5fe4135119a6875781ed7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 25 Aug 2017 16:09:47 +0200
Subject: [PATCH 709/899] updated changelog 0.25.1 --> issue 350

---
 doc/source/changes/version_0_25_1.rst.inc | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index cbd54bcac..83aeac04f 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -43,3 +43,13 @@ Fixes
     >>> arr['a2:'] = arr[':a1'].drop_labels('a')
 
 * fixed setting an array values using `array.points[key] = value` when value is an LArray (closes :issue:`368`).
+
+* fixed using syntax 'int..int' in a selection (closes :issue:`350`):
+
+    >>> arr = ndrange('a=2017..2012')
+    >>> arr
+    a  2017  2016  2015  2014  2013  2012
+          0     1     2     3     4     5
+    >>> arr['2012..2015']
+    a  2012  2013  2014  2015
+          5     4     3     2

From b8214754fe4451fda3ae65b7584e98555b3ed457 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 11:08:57 +0200
Subject: [PATCH 710/899] added _get_axes_from_translated_key private method to
 simplify LArray getitem and setitem methods

---
 larray/core/array.py | 28 +++++++++++++++-------------
 1 file changed, 15 insertions(+), 13 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index f83e076d1..732c37fdf 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2102,10 +2102,19 @@ def _collapse_slices(self, key):
         # behaves like one
         sequence = (tuple, list, np.ndarray)
         return [_range_to_slice(axis_key, len(axis))
-                if isinstance(axis_key, sequence)
-                else axis_key
+                if isinstance(axis_key, sequence) else axis_key
                 for axis_key, axis in zip(key, self.axes)]
 
+    def _get_axes_from_translated_key(self, translated_key, include_scalar_axis_key=False):
+        if include_scalar_axis_key:
+            return [axis.subaxis(axis_key)
+                    if not np.isscalar(axis_key) else Axis(1, axis.name)
+                    for axis, axis_key in zip(self.axes, translated_key)]
+        else:
+            return [axis.subaxis(axis_key)
+                    for axis, axis_key in zip(self.axes, translated_key)
+                    if not np.isscalar(axis_key)]
+
     def __getitem__(self, key, collapse_slices=False):
         if isinstance(key, ExprNode):
             key = key.evaluate(self.axes)
@@ -2126,10 +2135,7 @@ def __getitem__(self, key, collapse_slices=False):
             k2 = [k.data if isinstance(k, LArray) else k
                   for k in translated_key]
             res_data = data[k2]
-            axes = [axis.subaxis(axis_key)
-                    for axis, axis_key in zip(self.axes, translated_key)
-                    if not np.isscalar(axis_key)]
-
+            axes = self._get_axes_from_translated_key(translated_key)
             first_col = AxisCollection(axes[0])
             res_axes = first_col.union(*axes[1:])
             return LArray(res_data, res_axes)
@@ -2137,9 +2143,7 @@ def __getitem__(self, key, collapse_slices=False):
         # TODO: if the original key was a list of labels,
         # subaxis(translated_key).labels == orig_key, so we should use
         # orig_axis_key.copy()
-        axes = [axis.subaxis(axis_key)
-                for axis, axis_key in zip(self.axes, translated_key)
-                if not np.isscalar(axis_key)]
+        axes = self._get_axes_from_translated_key(translated_key)
 
         if collapse_slices:
             translated_key = self._collapse_slices(translated_key)
@@ -2201,11 +2205,9 @@ def __setitem__(self, key, value, collapse_slices=True):
                 # when adv indexing is needed, cross_key converts scalars to lists
                 # of 1 element, which does not remove the dimension like scalars
                 # normally do
-                axes = [axis.subaxis(axis_key) if not np.isscalar(axis_key) else Axis(1, axis.name)
-                        for axis, axis_key in zip(self.axes, translated_key)]
+                axes = self._get_axes_from_translated_key(translated_key, True)
             else:
-                axes = [axis.subaxis(axis_key) for axis, axis_key in zip(self.axes, translated_key)
-                        if not np.isscalar(axis_key)]
+                axes = self._get_axes_from_translated_key(translated_key)
             value = value.broadcast_with(axes)
             value.axes.check_compatible(axes)
         else:

From fb0628a22406475235d1daed728cbda6ebb21367 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 11:45:01 +0200
Subject: [PATCH 711/899] updated LArray._translate_axis_key

---
 larray/core/array.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 732c37fdf..e8267caf2 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1870,14 +1870,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
                 axis_key = axis_key.labels
 
         # TODO: do it for Group without axis too
-        # TODO: do it for LArray key too (but using .i[] instead)
-        if isinstance(axis_key, (tuple, list, np.ndarray)):
+        if isinstance(axis_key, (tuple, list, np.ndarray, LArray)):
             axis = None
             # TODO: I should actually do some benchmarks to see if this is
             #       useful, and estimate which numbers to use
             for size in (1, 10, 100, 1000):
                 # TODO: do not recheck already checked elements
-                key_chunk = axis_key[:size]
+                key_chunk = axis_key.i[:size] if isinstance(axis_key, LArray) else axis_key[:size]
                 try:
                     tkey = self._translate_axis_key_chunk(key_chunk,
                                                           bool_passthrough)

From e3546667b581e3e3b9cb9ecf188392611e90f6cf Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 11:46:20 +0200
Subject: [PATCH 712/899] removed use of .id in _translate_axis_key_chunk and
 _guess_axis

---
 larray/core/array.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index e8267caf2..d30a79794 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1843,8 +1843,8 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
             raise ValueError("%s is not a valid label for any axis"
                              % axis_key)
         elif len(valid_axes) > 1:
-            # FIXME: .id
-            valid_axes = ', '.join(str(a.id) for a in valid_axes)
+            valid_axes = ', '.join(a.name if a.name is not None else '{{{}}}'.format(self.axes.index(a))
+                                   for a in valid_axes)
             raise ValueError('%s is ambiguous (valid in %s)' %
                              (axis_key, valid_axes))
         return valid_axes[0].i[axis_pos_key]
@@ -1927,8 +1927,8 @@ def _guess_axis(self, axis_key):
             raise ValueError("%s is not a valid label for any axis"
                              % axis_key)
         elif len(valid_axes) > 1:
-            # FIXME: .id
-            valid_axes = ', '.join(str(a.id) for a in valid_axes)
+            valid_axes = ', '.join(a.name if a.name is not None else '{{{}}}'.format(self.axes.index(a))
+                                   for a in valid_axes)
             raise ValueError('%s is ambiguous (valid in %s)' %
                              (axis_key, valid_axes))
         return valid_axes[0][axis_key]

From 018e5d5c1f0ae68bea9798e596081be6d77a4465 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 13:02:49 +0200
Subject: [PATCH 713/899] fixed #246 : LArray.getitem accepts mix of boolean
 and non-boolean filters

---
 larray/core/array.py       |  7 +++++++
 larray/tests/test_array.py | 15 +++++++++++++++
 2 files changed, 22 insertions(+)

diff --git a/larray/core/array.py b/larray/core/array.py
index d30a79794..c09647939 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1857,6 +1857,12 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
         PGroup
             Positional group with valid axes (from self.axes)
         """
+        if isinstance(axis_key, ExprNode):
+            axis_key = axis_key.evaluate(self.axes)
+
+        if isinstance(axis_key, LArray) and np.issubdtype(axis_key.dtype, np.bool_) and bool_passthrough:
+            return PGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
+
         # translate Axis keys to LGroup keys
         # FIXME: this should be simply:
         # if isinstance(axis_key, Axis):
@@ -2115,6 +2121,7 @@ def _get_axes_from_translated_key(self, translated_key, include_scalar_axis_key=
                     if not np.isscalar(axis_key)]
 
     def __getitem__(self, key, collapse_slices=False):
+
         if isinstance(key, ExprNode):
             key = key.evaluate(self.axes)
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index baefc9f81..777b6d83b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -482,6 +482,21 @@ def test_getitem_bool_larray_key(self):
         raw_d1, raw_d3 = raw_key.nonzero()
         assert_array_equal(res, raw[raw_d1, :, raw_d3])
 
+    def test_getitem_bool_larray_and_group_key(self):
+        arr = ndtest((3, 6, 4)).set_labels('b', '0..5')
+
+        # using axis
+        res = arr['a0,a2', arr.b < 3, 'c0:c3']
+        assert isinstance(res, LArray)
+        assert res.ndim == 3
+        assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
+
+        # using axis reference
+        res = arr['a0,a2', x.b < 3, 'c0:c3']
+        assert isinstance(res, LArray)
+        assert res.ndim == 3
+        assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
+
     def test_getitem_bool_ndarray_key(self):
         raw = self.array
         la = self.larray

From 7f7464c9c0d7630815265db6167585aeefd0556c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 14:33:20 +0200
Subject: [PATCH 714/899] updated changelog 0.25.1 -> fixed issue 246

---
 doc/source/changes/version_0_25_1.rst.inc | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 83aeac04f..1c56b3c96 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -42,6 +42,21 @@ Fixes
     >>> arr['a2:'] = arr[':a1'].set_labels('a', 'a2,a3')
     >>> arr['a2:'] = arr[':a1'].drop_labels('a')
 
+* fixed getting a subset of an array by mixing boolean filters and other filters (closes :issue:`246`):
+
+    >>> arr = ndrange('a=a0..a2;b=0..3')
+    >>> arr
+    a\b  0  1   2   3
+     a0  0  1   2   3
+     a1  4  5   6   7
+     a2  8  9  10  11
+    >>> arr['a0,a2', x.b < 2]
+    a\b  0  1
+     a0  0  1
+     a2  8  9
+
+  Warning: when mixed with other filters, boolean filters are limited to one dimension.
+
 * fixed setting an array values using `array.points[key] = value` when value is an LArray (closes :issue:`368`).
 
 * fixed using syntax 'int..int' in a selection (closes :issue:`350`):

From 61819fb568eb11e83bef1660f4ff47ec9174d7bd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 15:10:46 +0200
Subject: [PATCH 715/899] updated test_getitem_bool_larray_and_group_key

---
 larray/tests/test_array.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 777b6d83b..1083470fd 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -483,6 +483,7 @@ def test_getitem_bool_larray_key(self):
         assert_array_equal(res, raw[raw_d1, :, raw_d3])
 
     def test_getitem_bool_larray_and_group_key(self):
+        # 1) 1D boolean filter
         arr = ndtest((3, 6, 4)).set_labels('b', '0..5')
 
         # using axis
@@ -497,6 +498,21 @@ def test_getitem_bool_larray_and_group_key(self):
         assert res.ndim == 3
         assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
 
+        # 2) with ND boolean filter
+        arr = ndrange('a0=a0..a2;b=0..5;c=0..3')
+
+        # using axes
+        res = arr['a0,a2', arr.b < arr.c]
+        assert isinstance(res, LArray)
+        assert res.ndim == 2
+        assert_array_equal(res, arr['a0,a2'][arr.b < arr.c])
+
+        # using axis references
+        res = arr['a0,a2', x.b < x.c]
+        assert isinstance(res, LArray)
+        assert res.ndim == 2
+        assert_array_equal(res, arr['a0,a2'][arr.b < arr.c])
+
     def test_getitem_bool_ndarray_key(self):
         raw = self.array
         la = self.larray

From 179344a0e2013851ea2a4baa136472f3f55b4319 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 16:50:17 +0200
Subject: [PATCH 716/899] raises error if trying to mix ND boolean filters with
 other filters in LArray.getitem

---
 larray/core/array.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index c09647939..546bbd7d0 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1861,7 +1861,11 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             axis_key = axis_key.evaluate(self.axes)
 
         if isinstance(axis_key, LArray) and np.issubdtype(axis_key.dtype, np.bool_) and bool_passthrough:
-            return PGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
+            if len(axis_key.axes) > 1:
+                raise ValueError("mixing ND boolean filters with other filters "
+                                 "in getitem is not currently supported")
+            else:
+                return PGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
 
         # translate Axis keys to LGroup keys
         # FIXME: this should be simply:

From 779ddb102a0c73fe7859b4e861701dde5cf4f00a Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 24 Aug 2017 16:51:13 +0200
Subject: [PATCH 717/899] updated test_getitem_bool_larray_and_group_key

---
 larray/tests/test_array.py | 16 ----------------
 1 file changed, 16 deletions(-)

diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 1083470fd..777b6d83b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -483,7 +483,6 @@ def test_getitem_bool_larray_key(self):
         assert_array_equal(res, raw[raw_d1, :, raw_d3])
 
     def test_getitem_bool_larray_and_group_key(self):
-        # 1) 1D boolean filter
         arr = ndtest((3, 6, 4)).set_labels('b', '0..5')
 
         # using axis
@@ -498,21 +497,6 @@ def test_getitem_bool_larray_and_group_key(self):
         assert res.ndim == 3
         assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
 
-        # 2) with ND boolean filter
-        arr = ndrange('a0=a0..a2;b=0..5;c=0..3')
-
-        # using axes
-        res = arr['a0,a2', arr.b < arr.c]
-        assert isinstance(res, LArray)
-        assert res.ndim == 2
-        assert_array_equal(res, arr['a0,a2'][arr.b < arr.c])
-
-        # using axis references
-        res = arr['a0,a2', x.b < x.c]
-        assert isinstance(res, LArray)
-        assert res.ndim == 2
-        assert_array_equal(res, arr['a0,a2'][arr.b < arr.c])
-
     def test_getitem_bool_ndarray_key(self):
         raw = self.array
         la = self.larray

From 13fd848870e5c0cac8b84607f10206805174bb86 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Aug 2017 14:22:51 +0200
Subject: [PATCH 718/899] fix #310 : replace all DeprecationWarning by
 FutureWarning

---
 larray/core/array.py   | 4 ++--
 larray/core/axis.py    | 2 +-
 larray/core/session.py | 8 ++++----
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 546bbd7d0..575afeb05 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -947,7 +947,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
             return LArray(self.data, new_axes, title=self.title)
 
     def with_axes(self, axes):
-        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", DeprecationWarning, stacklevel=2)
+        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", FutureWarning, stacklevel=2)
         return self.set_axes(axes)
 
     def __getattr__(self, key):
@@ -7172,7 +7172,7 @@ def array_or_full(a, axis, initial):
 
 
 def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
-    warnings.warn("create_sequential() has been renamed to sequence()", DeprecationWarning, stacklevel=2)
+    warnings.warn("create_sequential() has been renamed to sequence()", FutureWarning, stacklevel=2)
     return sequence(axis, initial=initial, inc=inc, mult=mult, func=func, axes=axes, title=title)
 
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 37b91f2b6..85c8e4dd9 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -87,7 +87,7 @@ def __init__(self, labels, name=None):
             elif '..' not in labels and ',' not in labels:
                 warnings.warn("Arguments 'name' and 'labels' of Axis constructor have been inverted in "
                               "version 0.22 of larray. Please check you are passing labels first and name "
-                              "as second argument.", stacklevel=2)
+                              "as second argument.", FutureWarning, stacklevel=2)
                 name, labels = labels, name
 
         # make sure we do not have np.str_ as it causes problems down the
diff --git a/larray/core/session.py b/larray/core/session.py
index b1b6999a8..64608e13d 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -400,7 +400,7 @@ def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
         self.save(fname, names, ext_default_engine['pkl'], overwrite, display, **kwargs)
 
     def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
-        warnings.warn("Method dump is deprecated. Use method save instead.", DeprecationWarning, stacklevel=2)
+        warnings.warn("Method dump is deprecated. Use method save instead.", FutureWarning, stacklevel=2)
         self.save(fname, names, engine, display, **kwargs)
 
     def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
@@ -436,7 +436,7 @@ def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
         self.save(fname, names, ext_default_engine['hdf'], overwrite, display, **kwargs)
 
     def dump_hdf(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", DeprecationWarning, stacklevel=2)
+        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", FutureWarning, stacklevel=2)
         self.to_hdf(fname, names, *args, **kwargs)
 
     def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
@@ -472,7 +472,7 @@ def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
         self.save(fname, names, ext_default_engine['xlsx'], overwrite, display, **kwargs)
 
     def dump_excel(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", DeprecationWarning, stacklevel=2)
+        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", FutureWarning, stacklevel=2)
         self.to_excel(fname, names, *args, **kwargs)
 
     def to_csv(self, fname, names=None, display=False, **kwargs):
@@ -505,7 +505,7 @@ def to_csv(self, fname, names=None, display=False, **kwargs):
         self.save(fname, names, ext_default_engine['csv'], display=display, **kwargs)
 
     def dump_csv(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", DeprecationWarning, stacklevel=2)
+        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", FutureWarning, stacklevel=2)
         self.to_csv(fname, names, *args, **kwargs)
 
     def filter(self, pattern=None, kind=None):

From ef917bdcb987c825bf239ce3adfe12eec2a9a2e7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Aug 2017 16:16:39 +0200
Subject: [PATCH 719/899] updated changelog 0.25.1 --> issue 310

---
 doc/source/changes/version_0_25_1.rst.inc | 12 ++----------
 1 file changed, 2 insertions(+), 10 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 1c56b3c96..c80a1fe6e 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -1,16 +1,8 @@
-New features
-------------
-
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
-
-* added another feature.
-
-.. _misc:
-
 Miscellaneous improvements
 --------------------------
 
-* some improvement.
+* Deprecated methods display a warning message when they are still used
+  (replaced DeprecationWarning by FutureWarning. Closes :issue:`310`)
 
 Fixes
 -----

From 893e420522cd339ab1d0daf41c93a2e7517a1474 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Aug 2017 16:27:21 +0200
Subject: [PATCH 720/899] updated /viewer/__init__.py + /doc/environment.yml
 file ( fix #322 )

---
 doc/environment.yml       |  2 -
 larray/viewer/__init__.py | 99 ++++++++++++++++++++++++++++++++++++---
 2 files changed, 93 insertions(+), 8 deletions(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index c924eabbb..53ac79823 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -14,5 +14,3 @@ dependencies:
   - numpydoc
   - nbsphinx
   - pandoc
-  - pip:
-    - larray-editor
diff --git a/larray/viewer/__init__.py b/larray/viewer/__init__.py
index a22bae3bd..ff4e38508 100644
--- a/larray/viewer/__init__.py
+++ b/larray/viewer/__init__.py
@@ -1,13 +1,100 @@
 from __future__ import absolute_import, division, print_function
 
-try:
-    from larray_editor import *
-except ImportError:
-    def view(*args, **kwargs):
+
+def view(obj=None, title='', depth=0):
+    """
+    Opens a new viewer window. Arrays are loaded in readonly mode and their content cannot be modified.
+
+    Parameters
+    ----------
+    obj : np.ndarray, LArray, Session, dict or str, optional
+        Object to visualize. If string, array(s) will be loaded from the file given as argument.
+        Defaults to the collection of all local variables where the function was called.
+    title : str, optional
+        Title for the current object. Defaults to the name of the first object found in the caller namespace which
+        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
+        object).
+    depth : int, optional
+        Stack depth where to look for variables. Defaults to 0 (where this function was called).
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> # will open a viewer showing all the arrays available at this point
+    >>> # (a1 and a2 in this case)
+    >>> view()                                                                                         # doctest: +SKIP
+    >>> # will open a viewer showing only a1
+    >>> view(a1)                                                                                       # doctest: +SKIP
+    """
+    try:
+        from larray_editor import view
+        view(obj, title, depth)
+    except ImportError:
         raise Exception('view() is not available because the larray_editor package is not installed')
 
-    def edit(*args, **kwargs):
+def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
+    """
+    Opens a new editor window.
+
+    Parameters
+    ----------
+    obj : np.ndarray, LArray, Session, dict, str or REOPEN_LAST_FILE, optional
+        Object to visualize. If string, array(s) will be loaded from the file given as argument.
+        Passing the constant REOPEN_LAST_FILE loads the last opened file.
+        Defaults to the collection of all local variables where the function was called.
+    title : str, optional
+        Title for the current object. Defaults to the name of the first object found in the caller namespace which
+        corresponds to `obj` (it will use a combination of the 3 first names if several names correspond to the same
+        object).
+    minvalue : scalar, optional
+        Minimum value allowed.
+    maxvalue : scalar, optional
+        Maximum value allowed.
+    readonly : bool, optional
+        Whether or not editing array values is forbidden. Defaults to False.
+    depth : int, optional
+        Stack depth where to look for variables. Defaults to 0 (where this function was called).
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> # will open an editor with all the arrays available at this point
+    >>> # (a1 and a2 in this case)
+    >>> edit()                                                                                         # doctest: +SKIP
+    >>> # will open an editor for a1 only
+    >>> edit(a1)                                                                                       # doctest: +SKIP
+    """
+    try:
+        from larray_editor import edit
+        edit(obj, title, minvalue, maxvalue, readonly, depth)
+    except ImportError:
         raise Exception('edit() is not available because the larray_editor package is not installed')
 
-    def compare(*args, **kwargs):
+def compare(*args, **kwargs):
+    """
+    Opens a new comparator window, comparing arrays or sessions.
+
+    Parameters
+    ----------
+    *args : LArrays or Sessions
+        Arrays or sessions to compare.
+    title : str, optional
+        Title for the window. Defaults to ''.
+    names : list of str, optional
+        Names for arrays or sessions being compared. Defaults to the name of the first objects found in the caller
+        namespace which correspond to the passed objects.
+
+    Examples
+    --------
+    >>> a1 = ndtest(3)                                                                                 # doctest: +SKIP
+    >>> a2 = ndtest(3) + 1                                                                             # doctest: +SKIP
+    >>> compare(a1, a2, title='first comparison')                                                      # doctest: +SKIP
+    >>> compare(a1 + 1, a2, title='second comparison', names=['a1+1', 'a2'])                           # doctest: +SKIP
+    """
+    try:
+        from larray_editor import compare
+        compare(*args, **kwargs)
+    except ImportError:
         raise Exception('compare() is not available because the larray_editor package is not installed')

From fe7a274ee458a43c893485deae545244f23e2b01 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 28 Aug 2017 17:04:24 +0200
Subject: [PATCH 721/899] revert solving issue 269 (will be done in version
 0.26)

---
 doc/source/changes/version_0_25_1.rst.inc | 19 -------------------
 larray/core/array.py                      |  7 +++----
 larray/tests/test_array.py                |  8 --------
 3 files changed, 3 insertions(+), 31 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index c80a1fe6e..f72ff4d86 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -15,25 +15,6 @@ Fixes
 
 * fixed row and column resizing by double clicking on the edge of an header cell.
 
-* setting values of a subset using another LArray is allowed only if axes and labels are compatible
-  (closes :issue:`269`). For example:
-
-    >>> arr = ndtest(4)
-    >>> arr
-    a  a0  a1  a2  a3
-        0   1   2   3
-    >>> arr['a2:'] = arr[':a1']
-    ValueError: incompatible axes:
-    Axis(['a2', 'a3'], 'a')
-    vs
-    Axis(['a0', 'a1'], 'a')
-
-  is not allowed. To set values using a LArray with incompatible labels, use the method
-  `set_labels` or `drop_labels`:
-
-    >>> arr['a2:'] = arr[':a1'].set_labels('a', 'a2,a3')
-    >>> arr['a2:'] = arr[':a1'].drop_labels('a')
-
 * fixed getting a subset of an array by mixing boolean filters and other filters (closes :issue:`246`):
 
     >>> arr = ndrange('a=a0..a2;b=0..3')
diff --git a/larray/core/array.py b/larray/core/array.py
index 575afeb05..b74210288 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2219,7 +2219,6 @@ def __setitem__(self, key, value, collapse_slices=True):
             else:
                 axes = self._get_axes_from_translated_key(translated_key)
             value = value.broadcast_with(axes)
-            value.axes.check_compatible(axes)
         else:
             # if value is a "raw" ndarray we rely on numpy broadcasting
             pass
@@ -2329,12 +2328,12 @@ def set(self, value, **kwargs):
          a0   0   1   2
          a1   3  10  10
          a2   6  10  10
-        >>> arr[':a1', ':b1'].set(ndtest((2, 2)))
+        >>> arr['a1:', 'b1:'].set(ndtest((2, 2)))
         >>> arr
         a\\b  b0  b1  b2
          a0   0   1   2
-         a1   2   3  10
-         a2   6  10  10
+         a1   3   0   1
+         a2   6   2   3
         """
         self.__setitem__(kwargs, value)
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 777b6d83b..13afd69d6 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -918,14 +918,6 @@ def test_setitem_larray(self):
         la[:] = 0
         assert_array_equal(la, np.zeros_like(raw))
 
-        # 6) check labels
-        la = self.larray.copy()
-        sla = self.small.copy()
-        with pytest.raises(ValueError):
-            la['M,F'] = la['F,M']
-        with pytest.raises(ValueError):
-            la[1, 'A11', 'M,F'] = sla['F,M']
-
     def test_setitem_ndarray(self):
         """
         tests LArray.__setitem__(key, value) where value is a raw ndarray.

From 785e87262aad50ee1a7e8ccc4c8c8b0d9f245693 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Aug 2017 10:54:51 +0200
Subject: [PATCH 722/899] added changelog (0.25.1) --> File->New and Open in
 the viewer.

---
 doc/source/changes/version_0_25_1.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index f72ff4d86..1399fb985 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -15,6 +15,8 @@ Fixes
 
 * fixed row and column resizing by double clicking on the edge of an header cell.
 
+* fixed `New` and `Open` in the menu `File` of the viewer when IPython console is not available.
+
 * fixed getting a subset of an array by mixing boolean filters and other filters (closes :issue:`246`):
 
     >>> arr = ndrange('a=a0..a2;b=0..3')

From 4d7fb894cac26e59480fe8c47b2b25768c4582ab Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Aug 2017 11:39:22 +0200
Subject: [PATCH 723/899] fix #89 : updated docstring of method with_total

---
 larray/core/array.py | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index b74210288..e63d2adc7 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2942,12 +2942,15 @@ def with_total(self, *args, **kwargs):
 
         Parameters
         ----------
-        args
-        kwargs
-        op : aggregate function
+        *args : int or str or Axis or Group or any combination of those, optional
+            Axes or groups along which to compute the aggregates. Passed groups should be named. 
+            Defaults to aggregate over the whole array.
+        op : aggregate function, optional 
             Defaults to `sum()`.
-        label : scalar value
-            label to use for the total. Defaults to "total".
+        label : scalar value, optional 
+            label to use for the total. Applies only to aggregated axes, not groups. Defaults to "total".
+        **kwargs : int or str or Group or any combination of those, optional
+            Axes or groups along which to compute the aggregates. 
 
         Returns
         -------
@@ -2967,6 +2970,12 @@ def with_total(self, *args, **kwargs):
            a1   3   4   5     12
            a2   6   7   8     21
         total   9  12  15     36
+        >>> arr.with_total('a', 'b0,b1 >> total_01')
+          a\\b  b0  b1  b2  total_01
+           a0   0   1   2         1
+           a1   3   4   5         7
+           a2   6   7   8        13
+        total   9  12  15        21
         >>> arr.with_total(op=prod, label='product')
             a\\b  b0  b1  b2  product
              a0   0   1   2        0

From 48e9f6376911459d4c04e004f68ea7bf687c63cd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 30 Aug 2017 11:40:08 +0200
Subject: [PATCH 724/899] updated changelog (0.25.1) --> with_total doctstring,
 issue 89

---
 doc/source/changes/version_0_25_1.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 1399fb985..045c76b1f 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -4,6 +4,8 @@ Miscellaneous improvements
 * Deprecated methods display a warning message when they are still used
   (replaced DeprecationWarning by FutureWarning. Closes :issue:`310`)
 
+* updated documentation of method `with_total` (closes :issue:`89`)
+
 Fixes
 -----
 

From d229f73807ee9497159127242c340d3aa61a5dff Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 31 Aug 2017 10:04:57 +0200
Subject: [PATCH 725/899] fixes #389 : mixing .. and spaces in the same
 indexing string

---
 larray/core/group.py       | 1 +
 larray/tests/test_array.py | 3 ++-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index 25320a50b..eacbe0dbc 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -226,6 +226,7 @@ def _range_str_to_range(s, stack_depth=1):
     >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
     ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
     """
+    s = s.strip()
     m = _range_str_pattern.match(s)
 
     groups = m.groupdict()
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 13afd69d6..a86bfabd3 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -254,7 +254,8 @@ def test_getitem(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # string 'int..int'
-        assert_array_equal(la['10..15'], la['10,11,12,13,14,15'])
+        assert_array_equal(la['10..13'], la['10,11,12,13'])
+        assert_array_equal(la['8, 10..13, 15'], la['8,10,11,12,13,15'])
 
         # ambiguous label
         arr = ndrange("a=l0,l1;b=l1,l2")

From 66628779c2303ca079f1acee99290a6ac8acf3c4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 31 Aug 2017 10:09:21 +0200
Subject: [PATCH 726/899] updated changelog 0.25.1 --> issue 389 (mixing .. and
 spaces in the same indexing string)

---
 doc/source/changes/version_0_25_1.rst.inc | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 045c76b1f..e18e0455e 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -45,3 +45,12 @@ Fixes
     >>> arr['2012..2015']
     a  2012  2013  2014  2015
           5     4     3     2
+
+* fixed mixing 'int..int' and spaces in an indexing string (closes :issue:`389`):
+    >>> arr = ndtest(7)
+    >>> arr
+    a  a0  a1  a2  a3  a4  a5  a6
+        0   1   2   3   4   5   6
+    >>> arr['a0, a2, a4..a6']
+    a  a0  a2  a4  a5  a6
+        0   2   4   5   6
\ No newline at end of file

From fc1be40f6a90389fa1f685125e407fdc419203fc Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 31 Aug 2017 16:37:27 +0200
Subject: [PATCH 727/899] issue 268 : bad error message from LArray.setitem 
 (#395)

fixes #268 : LArray.setitem displays a better error message in case of incompatible axes
---
 doc/source/changes/version_0_25_1.rst.inc |  3 +++
 larray/core/array.py                      | 10 ++++++++++
 larray/tests/test_array.py                | 15 +++++++++++++++
 3 files changed, 28 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index e18e0455e..41c3aa9d6 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -6,6 +6,9 @@ Miscellaneous improvements
 
 * updated documentation of method `with_total` (closes :issue:`89`)
 
+* trying to set values of a subset by passing an array with incompatible axes
+  displays a better error message (closes :issue:`268`)
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index e63d2adc7..fbce518cf 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2219,6 +2219,16 @@ def __setitem__(self, key, value, collapse_slices=True):
             else:
                 axes = self._get_axes_from_translated_key(translated_key)
             value = value.broadcast_with(axes)
+            # replace incomprehensible error message
+            # "could not broadcast input array from shape XX into shape YY"
+            # for users by "incompatible axes"
+            extra_axes = [axis for axis in value.axes - axes if len(axis) > 1]
+            if extra_axes:
+                extra_axes = AxisCollection(extra_axes)
+                axes = AxisCollection(axes)
+                text = 'axes are' if len(extra_axes) > 1 else 'axis is'
+                raise ValueError("Value {!s} {} not present in target subset {!s}. A value can only have the same axes "\
+                                 "or fewer axes than the subset being targeted".format(extra_axes, text, axes))
         else:
             # if value is a "raw" ndarray we rely on numpy broadcasting
             pass
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index a86bfabd3..4ee5c703d 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -919,6 +919,21 @@ def test_setitem_larray(self):
         la[:] = 0
         assert_array_equal(la, np.zeros_like(raw))
 
+        # 6) incompatible axes
+        la = self.small.copy()
+        la2 = la.copy()
+
+        with pytest.raises(ValueError, match="Value {!s} axis is not present in target subset {!s}. "
+                                             "A value can only have the same axes or fewer axes than the subset "\
+                                             "being targeted".format(la2.axes - la['P01'].axes, la['P01'].axes)):
+           la['P01'] = la2
+
+        la2 = la.rename('sex', 'gender')
+        with pytest.raises(ValueError, match="Value {!s} axis is not present in target subset {!s}. "
+                                             "A value can only have the same axes or fewer axes than the subset "\
+                                             "being targeted".format(la2['P01'].axes - la['P01'].axes, la['P01'].axes)):
+           la['P01'] = la2['P01']
+
     def test_setitem_ndarray(self):
         """
         tests LArray.__setitem__(key, value) where value is a raw ndarray.

From a9e5cd85c8dfb4dd211821c095397a694c6aa89c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 31 Aug 2017 17:14:56 +0200
Subject: [PATCH 728/899] fixed an obscure bug Geert stumbled upon

---
 doc/source/changes/version_0_25_1.rst.inc | 17 ++++++++++-------
 larray/core/axis.py                       |  2 +-
 larray/tests/test_axis.py                 |  7 +++++++
 3 files changed, 18 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 41c3aa9d6..d68e28463 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -1,13 +1,13 @@
 Miscellaneous improvements
 --------------------------
 
-* Deprecated methods display a warning message when they are still used
-  (replaced DeprecationWarning by FutureWarning. Closes :issue:`310`)
+* Deprecated methods display a warning message when they are still used (replaced DeprecationWarning by FutureWarning).
+  Closes :issue:`310`.
 
-* updated documentation of method `with_total` (closes :issue:`89`)
+* updated documentation of method `with_total` (closes :issue:`89`).
 
-* trying to set values of a subset by passing an array with incompatible axes
-  displays a better error message (closes :issue:`268`)
+* trying to set values of a subset by passing an array with incompatible axes displays a better error message
+  (closes :issue:`268`).
 
 Fixes
 -----
@@ -49,11 +49,14 @@ Fixes
     a  2012  2013  2014  2015
           5     4     3     2
 
-* fixed mixing 'int..int' and spaces in an indexing string (closes :issue:`389`):
+* fixed mixing '..' sequences and spaces in an indexing string (closes :issue:`389`):
+
     >>> arr = ndtest(7)
     >>> arr
     a  a0  a1  a2  a3  a4  a5  a6
         0   1   2   3   4   5   6
     >>> arr['a0, a2, a4..a6']
     a  a0  a2  a4  a5  a6
-        0   2   4   5   6
\ No newline at end of file
+        0   2   4   5   6
+
+* fixed indexing/aggregating using groups with renaming (using >>) when the axis has mixed type labels (object dtype).
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 85c8e4dd9..7ea31cb8c 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -720,7 +720,7 @@ def translate(self, key, bool_passthrough=True):
             # path is only used if the key was given in "non normalized form"
             assert np.isscalar(key), "%s (%s) is not scalar" % (key, type(key))
             # key is scalar (integer, float, string, ...)
-            if np.dtype(type(key)).kind == self.labels.dtype.kind:
+            if self._is_key_type_compatible(key):
                 return mapping[key]
             else:
                 # print("diff dtype", )
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index b55ab6678..9d0365310 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -88,6 +88,13 @@ def test_getitem(self):
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
+    def test_translate(self):
+        # an axis with labels having the object dtype
+        a = Axis(np.array(["a0", "a1"], dtype=object), 'a')
+
+        self.assertEqual(a.translate('a1'), 1)
+        self.assertEqual(a.translate('a1 >> A1'), 1)
+
     def test_getitem_lgroup_keys(self):
         def group_equal(g1, g2):
             return (g1.key == g2.key and g1.name == g2.name and

From 8df34b4bb38363f416d9ea9af0631e45282cefad Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 31 Aug 2017 16:48:39 +0200
Subject: [PATCH 729/899] a pass at improving docstrings:

* fixing most sphinx warnings
* fixed most (all?) documentation rendering oddities I could find
* standardized docstrings a bit
* fixed a few small content mistakes

a few notes for our future selves:

* no blank line after section titles in docstrings
* always use "Notes" and not "Note" (Note is not recognised as a numpy section)
* no blank line between arguments
* default value should be described by "Defaults to XXX."
---
 doc/source/api.rst                      |   2 +-
 doc/source/changes/version_0_22.rst.inc |   2 +-
 doc/source/changes/version_0_25.rst.inc |   4 +-
 doc/source/conf.py                      |   2 +-
 doc/source/contribute.rst               |   4 +
 larray/core/array.py                    | 182 ++++++++++--------------
 larray/core/axis.py                     |  12 +-
 larray/core/session.py                  |   5 +-
 larray/util/misc.py                     |   1 -
 9 files changed, 90 insertions(+), 124 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 4d76d9159..d454010ea 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -203,7 +203,7 @@ LArray
 * :ref:`la_sorting`
 * :ref:`la_reshaping`
 * :ref:`la_testing`
-* :ref:`_la_op:`
+* :ref:`la_op`
 * :ref:`la_misc`
 * :ref:`la_to_pandas`
 * :ref:`la_plotting`
diff --git a/doc/source/changes/version_0_22.rst.inc b/doc/source/changes/version_0_22.rst.inc
index 46325017a..16627c9bb 100644
--- a/doc/source/changes/version_0_22.rst.inc
+++ b/doc/source/changes/version_0_22.rst.inc
@@ -265,7 +265,7 @@ Miscellaneous improvements
     year | 2016 | 2017 | 2018 | 2019
          |    0 |    1 |    2 |    3
 
-* replaced *args, **kwargs by explicit arguments in documentation of aggregation functions (sum, prod, mean, std,
+* replaced \*args, \**kwargs by explicit arguments in documentation of aggregation functions (sum, prod, mean, std,
   var, ...). Closes :issue:`41`.
 
 * improved documentation of plot method (closes :issue:`169`).
diff --git a/doc/source/changes/version_0_25.rst.inc b/doc/source/changes/version_0_25.rst.inc
index 451761f37..c6832296f 100644
--- a/doc/source/changes/version_0_25.rst.inc
+++ b/doc/source/changes/version_0_25.rst.inc
@@ -16,7 +16,7 @@
   used:
 
     - outer: will use a label if it is in either arrays axis (ordered like the first array). This is the default as it
-             results in no information loss.
+      results in no information loss.
     - inner: will use a label if it is in both arrays axis (ordered like the first array)
     - left: will use the first array axis labels
     - right: will use the other array axis labels
@@ -330,7 +330,7 @@ Miscellaneous improvements
   Without passing an explicit order for labels like above (or an axis object), it should only be used on Python 3.6 or
   later because keyword arguments are NOT ordered on earlier Python versions.
 
-    # use this only on Python 3.6 and later
+    >>> # use this only on Python 3.6 and later
     >>> stack(M=arr1, F=arr2, axis='sex')
     nat\\sex    M    F
          BE  1.0  0.0
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 978adb067..c96874c23 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -294,4 +294,4 @@
 
 
 # Example configuration for intersphinx: refer to the Python standard library.
-intersphinx_mapping = {'http://docs.python.org/': None}
+intersphinx_mapping = {'https://docs.python.org/3': None}
diff --git a/doc/source/contribute.rst b/doc/source/contribute.rst
index 9ce2c3540..91c2d550d 100644
--- a/doc/source/contribute.rst
+++ b/doc/source/contribute.rst
@@ -89,6 +89,10 @@ We use Numpy conventions for docstrings. Here is a template: ::
       type
           Description of return value.
 
+      Notes
+      -----
+      Some interesting facts about this function.
+
       See Also
       --------
       LArray.otherfunc : How other function or method is related.
diff --git a/larray/core/array.py b/larray/core/array.py
index fbce518cf..fb8c5b19f 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -144,7 +144,6 @@ def sum(array, *args, **kwargs):
 
     See Also
     --------
-
     LArray.sum
     """
     # XXX: we might want to be more aggressive here (more types to convert),
@@ -493,103 +492,74 @@ def get_axis(obj, i):
 
 
 _arg_agg = {
-    'q':
-        """
+    'q': """
         q : int in range of [0,100] (or sequence of floats)
-            Percentile to compute, which must be between 0 and 100 inclusive.
-        """
+            Percentile to compute, which must be between 0 and 100 inclusive."""
 }
 
 _kwarg_agg = {
-    'dtype': {'value': None, 'doc':
-        """
-        * dtype : dtype, optional
-
-          The type of the returned array.
-          The dtype of the array is used by default.
-        """},
-    'out': {'value': None, 'doc':
-        """
-        * out : LArray, optional
-
-          Alternate output array in which to place the result.
-          It must have the same shape as the expected output and
-          its type is preserved (e.g., if dtype(out) is float, the
-          result will consist of 0.0’s and 1.0’s).
-          Axes and labels can be different, only the shape matters.
-        """},
-    'ddof': {'value': 1, 'doc':
-        """
-        * ddof : int, optional
-
-          "Delta Degrees of Freedom": the divisor used in the
-          calculation is ``N - ddof``, where ``N`` represents
-          the number of elements. By default `ddof` is 1.
-        """},
-    'skipna': {'value': None, 'doc':
-        """
-        * skipna : bool, optional
-
-          'skip NaN': Ignore NaN/null values.
-          If an entire row/column is NaN, the result will be NaN.
-        """},
-    'keepaxes': {'value': False, 'doc':
-        """
-        * keepaxes : bool, optional
-
-          If this is set to True, the axes which are reduced are
-          left in the result as dimensions with size one.
-          With this option, the result will broadcast correctly
-          against the input array.
-        """},
-    'interpolation': {'value': 'linear', 'doc':
-        """
-        * interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
-
-          This optional parameter specifies the interpolation method to
-          use when the desired quantile lies between two data points ``i < j``:
-            * linear: ``i + (j - i) * fraction``, where ``fraction`` is the
-              fractional part of the index surrounded by ``i`` and ``j``.
-            * lower: ``i``.
-            * higher: ``j``.
-            * nearest: ``i`` or ``j``, whichever is nearest.
-            * midpoint: ``(i + j) / 2``.
-        """}
+    'dtype': {'value': None, 'doc': """
+        dtype : dtype, optional
+            The data type of the returned array. Defaults to None (the dtype of the input array)."""},
+    'out': {'value': None, 'doc': """
+        out : LArray, optional
+            Alternate output array in which to place the result.
+            It must have the same shape as the expected output and
+            its type is preserved (e.g., if dtype(out) is float, the
+            result will consist of 0.0’s and 1.0’s).
+            Axes and labels can be different, only the shape matters. Defaults to None (create a new array)."""},
+    'ddof': {'value': 1, 'doc': """
+        ddof : int, optional
+            "Delta Degrees of Freedom": the divisor used in the
+            calculation is ``N - ddof``, where ``N`` represents
+            the number of elements. Defaults to 1."""},
+    'skipna': {'value': None, 'doc': """
+        skipna : bool, optional
+            Whether or not to skip NaN (null) values. If False, resulting cells will be NaN if any of the
+            aggregated cells is NaN. Defaults to True."""},
+    'keepaxes': {'value': False, 'doc': """
+        keepaxes : bool, optional
+            Whether or not reduced axes are left in the result as dimensions with size one. Defaults to False."""
+    },
+    'interpolation': {'value': 'linear', 'doc': """
+        interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}, optional
+            Interpolation method to use when the desired quantile lies between two data points ``i < j``:
+
+              * linear: ``i + (j - i) * fraction``, where ``fraction`` is the fractional part of the index surrounded
+                by ``i`` and ``j``.
+              * lower: ``i``.
+              * higher: ``j``.
+              * nearest: ``i`` or ``j``, whichever is nearest.
+              * midpoint: ``(i + j) / 2``.
+
+            Defaults to 'linear'."""
+    }
 }
 
 
-def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[], kwargs=[]):
+def _doc_agg_method(func, by=False, long_name='', action_verb='perform', extra_args=[], kwargs=[]):
     if not long_name:
         long_name = func.__name__
-    if not action_verb:
-        action_verb = 'perform'
 
     _args = ','.join(extra_args) + ', ' if len(extra_args) > 0 else ''
-    _kwargs = ', '.join(["{}={}".format(k, _kwarg_agg[k]['value']) for k in kwargs]) + ', ' if len(kwargs) > 0 else ''
+    _kwargs = ', '.join(["{}={!r}".format(k, _kwarg_agg[k]['value']) for k in kwargs]) + ', ' if len(kwargs) > 0 else ''
     signature = '{name}({args}*axes_and_groups, {kwargs}**explicit_axes)'.format(name=func.__name__,
-                                                                                args=_args, kwargs=_kwargs)
+                                                                                 args=_args, kwargs=_kwargs)
 
     if by:
-        doc_specific = "The {long_name} is {action_verb}ed along all axes except the given one(s). " \
-                  "For groups, {long_name} is {action_verb}ed along groups and non associated axes. " \
-                  "The default (no axis or group) is to {action_verb} the {long_name} " \
-                  "over all the dimensions of the input array.".format(long_name=long_name, action_verb=action_verb)
+        specific_template = """The {long_name} is {action_verb}ed along all axes except the given one(s).
+            For groups, {long_name} is {action_verb}ed along groups and non associated axes."""
     else:
-        doc_specific = "Axis(es) or group(s) along the {long_name} is {action_verb}ed. " \
-                  "The default (no axis or group) is to {action_verb} the {long_name} " \
-                  "over all the dimensions of the input array.".format(long_name=long_name, action_verb=action_verb)
+        specific_template = "Axis(es) or group(s) along which the {long_name} is {action_verb}ed."
+    doc_specific = specific_template.format(long_name=long_name, action_verb=action_verb)
 
     doc_args = "".join(_arg_agg[arg] for arg in extra_args)
     doc_kwargs = "".join(_kwarg_agg[kw]['doc'] for kw in kwargs)
-
-    parameters = \
-        """
-        Parameters
-        ----------
-        {args}
+    doc_varargs = """
         \*axes_and_groups : None or int or str or Axis or Group or any combination of those
-
             {specific}
+            The default (no axis or group) is to {action_verb} the {long_name} over 
+            all the dimensions of the input array.
 
             An axis can be referred by:
 
@@ -600,7 +570,6 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[],
             * a variable (Axis). If the axis has been defined previously
               and assigned to a variable, you can pass it as argument.
 
-
             You may not want to {action_verb} the {long_name} over a whole axis but
             over a selection of specific labels. To do so, you have several
             possibilities:
@@ -618,12 +587,10 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='', extra_args=[],
               Names are simply given by the concatenation of labels
               (here: 'a1,a2,a3', 'a5,a6,a7', 'b0,b2' and 'b1,b3')
             * ('a1:a3 >> a123', 'b[b0,b2] >> b12') :
-              operator ' >> ' allows to rename groups.
-
-        \**kwargs :
-        {kwargs}
-        """.format(args=doc_args, specific=doc_specific, action_verb=action_verb, long_name=long_name,
-                   kwargs=doc_kwargs)
+              operator ' >> ' allows to rename groups.""".format(specific=doc_specific, action_verb=action_verb,
+                                                                 long_name=long_name)
+    parameters = """Parameters
+        ----------{args}{varargs}{kwargs}""".format(args=doc_args, varargs=doc_varargs, kwargs=doc_kwargs)
 
     func.__doc__ = func.__doc__.format(signature=signature, parameters=parameters)
 
@@ -647,9 +614,8 @@ def larray_equal(a1, a2):
     bool
         Returns True if the arrays are equal (and do not contain nan values).
 
-    Note
-    ----
-
+    Notes
+    -----
     An array containing nan values is never equal to another array, even if that other array also contains nan values at
     the same positions. The reason is that a nan value is different from *anything*, including itself. One might want
     to use larray_nan_equal to avoid this behavior.
@@ -870,7 +836,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
 
         Parameters
         ----------
-        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis) \
                           or list of Axis or AxisCollection
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
@@ -1076,7 +1042,7 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
         dropna : {'any', 'all', None}, optional.
             * any : if any NA values are present, drop that label
             * all : if all values are NA, drop that label
-            None by default.
+            * None by default.
 
         Returns
         -------
@@ -1304,12 +1270,11 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
 
         Parameters
         ----------
-        renames : axis ref or dict {axis ref: str} or
-                  list of tuple (axis ref, str)
+        renames : axis ref or dict {axis ref: str} or list of tuple (axis ref, str)
             Renames to apply. If a single axis reference is given, the `to` argument must be used.
-        to : string or Axis
+        to : str or Axis
             New name if `renames` contains a single axis reference.
-        **kwargs :
+        **kwargs : str or Axis
             New name for each axis given as a keyword argument.
 
         Returns
@@ -1372,7 +1337,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
 
         Parameters
         ----------
-        axes_to_reindex : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
+        axes_to_reindex : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis) \
                           or list of Axis or AxisCollection
             Axes to reindex. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be reindexed by the new ones.
@@ -1503,8 +1468,8 @@ def align(self, other, join='outer', fill_value=nan, axes=None):
         (left, right) : (LArray, LArray)
             Aligned objects
 
-        Note
-        ----
+        Notes
+        -----
             Arrays with anonymous axes are currently not supported.
 
         Examples
@@ -3496,9 +3461,10 @@ def percent(self, *axes):
 
     # aggregate method decorator
     def _decorate_agg_method(npfunc, nanfunc=None, commutative=False, by_agg=False, extra_kwargs=[],
-                             long_name='', action_verb=''):
+                             long_name='', action_verb='perform'):
         def decorated(func):
             _doc_agg_method(func, by_agg, long_name, action_verb, kwargs=extra_kwargs + ['out', 'skipna', 'keepaxes'])
+
             @functools.wraps(func)
             def wrapper(self, *args, **kwargs):
                 keepaxes = kwargs.pop('keepaxes', _kwarg_agg['keepaxes']['value'])
@@ -7111,19 +7077,19 @@ def has_axis(a, axis):
 
         # a[0] = initial
         # a[1] = initial * mult[1]
-        #      + inc[1]
+        #      +  inc[1]
         # a[2] = initial * mult[1] * mult[2]
-        #      + inc[1] * mult[2]
-        #      + inc[2]
+        #      +  inc[1] * mult[2]
+        #      +  inc[2]
         # a[3] = initial * mult[1] * mult[2] * mult[3]
-        #      + inc[1] * mult[2] * mult[3]
-        #      + inc[2]           * mult[3]
-        #      + inc[3]
+        #      +  inc[1] * mult[2] * mult[3]
+        #      +  inc[2]           * mult[3]
+        #      +  inc[3]
         # a[4] = initial * mult[1] * mult[2] * mult[3] * mult[4]
-        #      + inc[1] * mult[2] * mult[3] * mult[4]
-        #      + inc[2]           * mult[3] * mult[4]
-        #      + inc[3]                     * mult[4]
-        #      + inc[4]
+        #      +  inc[1] * mult[2] * mult[3] * mult[4]
+        #      +  inc[2]           * mult[3] * mult[4]
+        #      +  inc[3]                     * mult[4]
+        #      +  inc[4]
 
         # a[1:] = initial * cumprod(mult[1:]) + ...
         def index_if_exists(a, axis, i):
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 7ea31cb8c..282ecf234 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1767,13 +1767,13 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
 
         Parameters
         ----------
-        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis)
-                          or list of Axis or AxisCollection
+        axes_to_replace : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis) \
+                          or list of Axis or AxisCollection, optional
             Axes to replace. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be replaced by the new ones.
-            In that case, the number of new axes must match the number of the old ones.
+            In that case, the number of new axes must match the number of the old ones. Defaults to None.
         new_axis : axis ref, optional
-            New axis if `axes_to_replace` contains a single axis reference.
+            New axis if `axes_to_replace` contains a single axis reference. Defaults to None.
         inplace : bool, optional
             Whether or not to modify the original object or return a new AxisCollection and leave the original intact.
             Defaults to False.
@@ -2003,8 +2003,8 @@ def display_names(self):
         -------
         list
             List of names of the axes.
-            Wildcard axes are displayed with an attached *.
-            Anonymous axes (name = None) are replaced by their position in braces.
+            Wildcard axes are displayed with an attached \*.
+            Anonymous axes (name = None) are replaced by their position wrapped in braces.
 
         Examples
         --------
diff --git a/larray/core/session.py b/larray/core/session.py
index 64608e13d..463d8d023 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -119,7 +119,7 @@ def get(self, key, default=None):
         Parameters
         ----------
         key : str
-            Name the array.
+            Name of the array.
         default : array, optional
             Returned array if the key doesn't correspond
             to any array of the current session.
@@ -318,7 +318,6 @@ def to_globals(self, names=None, depth=0, warn=True, inplace=False):
 
         Notes
         -----
-
         This method should usually only be used in an interactive console and not in a script. Code editors are
         confused by this kind of manipulation and will likely consider as invalid the code using variables created in
         this way. Additionally, when using this method auto-completion, "show definition", "go to declaration" and
@@ -327,7 +326,6 @@ def to_globals(self, names=None, depth=0, warn=True, inplace=False):
 
         Examples
         --------
-
         >>> s = Session(arr1=ndtest(3), arr2=ndtest((2, 2)))
         >>> s.to_globals()
         >>> arr1
@@ -744,7 +742,6 @@ def transpose(self, *args):
 
         Examples
         --------
-
         Let us create a test session and a small helper function to display sessions as a short summary.
 
         >>> arr1 = ndtest((2, 2, 2))
diff --git a/larray/util/misc.py b/larray/util/misc.py
index f3cdf2710..8f3b05aca 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -521,7 +521,6 @@ def _parse_bound(s, stack_depth=1, parse_int=True):
 
     Examples
     --------
-
     >>> _parse_bound(' a ')
     'a'
     >>> # returns None

From e3779656ae3d5347bef8b746def2386cef8446f2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 1 Sep 2017 11:43:52 +0200
Subject: [PATCH 730/899] fixed Excel instance created via to_excel() and
 open_excel() without argument being closed at the end of the script (closes
 #390)

---
 doc/source/changes/version_0_25_1.rst.inc | 3 +++
 larray/io/excel.py                        | 8 ++++++--
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index d68e28463..b0d9b3e4a 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -16,6 +16,9 @@ Fixes
 
 * fixed displaying empty array when starting the viewer or a new session in it.
 
+* fixed Excel instance created via to_excel() and open_excel() without any filename being closed at the end of the
+  Python program (closes :issue:`390`).
+
 * fixed the `view()`, `edit()` and `compare()` functions not being available in the viewer console.
 
 * fixed row and column resizing by double clicking on the edge of an header cell.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 07f7104d2..d091e4907 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -56,7 +56,6 @@ def write_value(cls, value, options):
 
     LArrayConverter.register(LArray)
 
-
     # TODO : replace overwrite_file by mode='r'|'w'|'a' the day xlwings will support a read-only mode
     class Workbook(object):
         def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
@@ -93,7 +92,12 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     app = xw_wkb.app
 
             if app is None:
-                app = "active" if filepath == -1 else "global"
+                if filepath is None:
+                    app = "new"
+                elif filepath == -1:
+                    app = "active"
+                else:
+                    app = "global"
 
             # active workbook use active app by default
             if filepath == -1:

From 84c967482cac5a1dc6df941b7e3fed25f886c725 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 1 Sep 2017 12:11:24 +0200
Subject: [PATCH 731/899] prepare for release on monday

---
 condarecipe/larray/meta.yaml |  4 ++--
 doc/source/changes.rst       | 10 +++++++++-
 larray/__init__.py           |  2 +-
 make_meta_package.bat        |  2 +-
 setup.py                     |  2 +-
 5 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 2b14a6e07..f20c9a698 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.25
+  version: 0.25.1
 
 source:
-  git_tag: 0.25
+  git_tag: 0.25.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 3dc80d688..5446ded6d 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,9 +1,17 @@
 Change log
 ##########
 
-Version 0.25
+Version 0.25.1
 ==============
 
+Released on 2017-09-04.
+
+.. include:: ./changes/version_0_25_1.rst.inc
+
+
+Version 0.25
+============
+
 Released on 2017-08-22.
 
 .. include:: ./changes/version_0_25.rst.inc
diff --git a/larray/__init__.py b/larray/__init__.py
index 47799fc06..fa3f139da 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.25"
+__version__ = "0.25.1"
diff --git a/make_meta_package.bat b/make_meta_package.bat
index 3a3628681..8f22b8b79 100644
--- a/make_meta_package.bat
+++ b/make_meta_package.bat
@@ -1 +1 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==0.1" "larray_eurostat ==0.1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
+conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==%1" "larray_eurostat ==0.1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
diff --git a/setup.py b/setup.py
index ce59bfcd7..21f2ae3b9 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.25'
+VERSION = '0.25.1'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From c66fb0aadee83376f18f6c36cabce798c7a7299d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 31 Aug 2017 12:52:54 +0200
Subject: [PATCH 732/899] updated doc/conf.py and doc/environment.yml: jupyter
 scripts are no longer used for the tutorial part of the documentation

---
 doc/environment.yml | 4 +---
 doc/source/conf.py  | 1 -
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index 53ac79823..7e2eebe21 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -8,9 +8,7 @@ dependencies:
   - pandas
   - matplotlib
   - pytables
-  - jupyter
-  - jupyter_client
   - sphinx
   - numpydoc
-  - nbsphinx
   - pandoc
+  - ipython
diff --git a/doc/source/conf.py b/doc/source/conf.py
index c96874c23..42e7bac46 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -41,7 +41,6 @@
     'sphinx.ext.viewcode',
     'sphinx.ext.extlinks',
     'numpydoc',
-    'nbsphinx',
     'sphinx.ext.mathjax',
     'IPython.sphinxext.ipython_directive',
     'IPython.sphinxext.ipython_console_highlighting'

From 2f305bfdf970229e5528e332f9f811a6aace8bfe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 4 Sep 2017 12:30:46 +0200
Subject: [PATCH 733/899] remove old notebooks and moved tutorial source
 (closes #179)

---
 doc/notebooks/LArray classes.ipynb            |  759 ---
 doc/notebooks/LArray generate.ipynb           |  264 -
 doc/notebooks/LArray usage.ipynb              | 5533 -----------------
 .../Pandas vs LArray benchmark.ipynb          |  439 --
 doc/notebooks/Python functions.ipynb          |  750 ---
 doc/source/index.rst                          |    2 +-
 .../LArray_intro.rst => tutorial.rst}         |    0
 7 files changed, 1 insertion(+), 7746 deletions(-)
 delete mode 100644 doc/notebooks/LArray classes.ipynb
 delete mode 100644 doc/notebooks/LArray generate.ipynb
 delete mode 100644 doc/notebooks/LArray usage.ipynb
 delete mode 100644 doc/notebooks/Pandas vs LArray benchmark.ipynb
 delete mode 100644 doc/notebooks/Python functions.ipynb
 rename doc/source/{tutorial/LArray_intro.rst => tutorial.rst} (100%)

diff --git a/doc/notebooks/LArray classes.ipynb b/doc/notebooks/LArray classes.ipynb
deleted file mode 100644
index 596d7bda1..000000000
--- a/doc/notebooks/LArray classes.ipynb	
+++ /dev/null
@@ -1,759 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from larray import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "age = Axis('age', ':115')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'age'"
-      ]
-     },
-     "execution_count": 4,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "age.name"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12',\n",
-       "       '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23',\n",
-       "       '24', '25', '26', '27', '28', '29', '30', '31', '32', '33', '34',\n",
-       "       '35', '36', '37', '38', '39', '40', '41', '42', '43', '44', '45',\n",
-       "       '46', '47', '48', '49', '50', '51', '52', '53', '54', '55', '56',\n",
-       "       '57', '58', '59', '60', '61', '62', '63', '64', '65', '66', '67',\n",
-       "       '68', '69', '70', '71', '72', '73', '74', '75', '76', '77', '78',\n",
-       "       '79', '80', '81', '82', '83', '84', '85', '86', '87', '88', '89',\n",
-       "       '90', '91', '92', '93', '94', '95', '96', '97', '98', '99', '100',\n",
-       "       '101', '102', '103', '104', '105', '106', '107', '108', '109',\n",
-       "       '110', '111', '112', '113', '114', '115'], \n",
-       "      dtype='<U3')"
-      ]
-     },
-     "execution_count": 5,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "age.labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sex = Axis('sex', 'M,F')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['M', 'F'], \n",
-       "      dtype='<U1')"
-      ]
-     },
-     "execution_count": 7,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "sex.labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fla_str = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \\\n",
-    "          'A43,A44,A45,A46,A71,A72,A73'\n",
-    "wal_str = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \\\n",
-    "          'A83,A84,A85,A91,A92,A93'\n",
-    "bru_str = 'A21'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "belgium = union(fla_str, wal_str, bru_str)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['A11',\n",
-       " 'A12',\n",
-       " 'A13',\n",
-       " 'A23',\n",
-       " 'A24',\n",
-       " 'A31',\n",
-       " 'A32',\n",
-       " 'A33',\n",
-       " 'A34',\n",
-       " 'A35',\n",
-       " 'A36',\n",
-       " 'A37',\n",
-       " 'A38',\n",
-       " 'A41',\n",
-       " 'A42',\n",
-       " 'A43',\n",
-       " 'A44',\n",
-       " 'A45',\n",
-       " 'A46',\n",
-       " 'A71',\n",
-       " 'A72',\n",
-       " 'A73',\n",
-       " 'A25',\n",
-       " 'A51',\n",
-       " 'A52',\n",
-       " 'A53',\n",
-       " 'A54',\n",
-       " 'A55',\n",
-       " 'A56',\n",
-       " 'A57',\n",
-       " 'A61',\n",
-       " 'A62',\n",
-       " 'A63',\n",
-       " 'A64',\n",
-       " 'A65',\n",
-       " 'A81',\n",
-       " 'A82',\n",
-       " 'A83',\n",
-       " 'A84',\n",
-       " 'A85',\n",
-       " 'A91',\n",
-       " 'A92',\n",
-       " 'A93',\n",
-       " 'A21']"
-      ]
-     },
-     "execution_count": 10,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "belgium"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "geo = Axis('geo', belgium)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "a = zeros([age, geo, sex])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Axis objects main purpose is to translate labels/ticks to indices (positions)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### ... but this should (probably) never be called manually ... it is done internally by LArray[ ] and LArray.filter"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 13,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "sex.translate('F')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 14,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo.translate('A12')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A12'"
-      ]
-     },
-     "execution_count": 15,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo.labels[1]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 1, 24])"
-      ]
-     },
-     "execution_count": 16,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo.translate('A12,A52')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### It accepts several syntaxes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 1, 24])"
-      ]
-     },
-     "execution_count": 17,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo.translate(['A12', 'A52'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Axis objects can also be used to create ValueGroups"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fla = geo[fla_str]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fla = geo.group(fla_str, name='Flanders')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wal = geo.group(wal_str, name='Wallonia')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# ValueGroup"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## the main purpose of ValueGroup is to attach an Axis and possibly a name to a group of labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'Flanders'"
-      ]
-     },
-     "execution_count": 21,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "fla.name"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Axis('geo', ['A11', 'A12', 'A13', 'A23', 'A24', 'A31', 'A32', 'A33', 'A34', 'A35', 'A36', 'A37', 'A38', 'A41', 'A42', 'A43', 'A44', 'A45', 'A46', 'A71', 'A72', 'A73', 'A25', 'A51', 'A52', 'A53', 'A54', 'A55', 'A56', 'A57', 'A61', 'A62', 'A63', 'A64', 'A65', 'A81', 'A82', 'A83', 'A84', 'A85', 'A91', 'A92', 'A93', 'A21'])"
-      ]
-     },
-     "execution_count": 22,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "fla.axis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73'"
-      ]
-     },
-     "execution_count": 23,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "fla.key"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ... so that output is more readable ..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age |  geo\\sex |   M |   F\n",
-       "  0 | Flanders | 0.0 | 0.0\n",
-       "  0 | Wallonia | 0.0 | 0.0\n",
-       "  1 | Flanders | 0.0 | 0.0\n",
-       "  1 | Wallonia | 0.0 | 0.0\n",
-       "  2 | Flanders | 0.0 | 0.0\n",
-       "... |      ... | ... | ...\n",
-       "113 | Wallonia | 0.0 | 0.0\n",
-       "114 | Flanders | 0.0 | 0.0\n",
-       "114 | Wallonia | 0.0 | 0.0\n",
-       "115 | Flanders | 0.0 | 0.0\n",
-       "115 | Wallonia | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 24,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a.sum(geo=(fla, wal))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age |                                                                                 geo\\sex | ...\n",
-       "  0 | A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 | ...\n",
-       "  0 |     A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 | ...\n",
-       "  1 | A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 | ...\n",
-       "  1 |     A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 | ...\n",
-       "  2 | A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 | ...\n",
-       "... |                                                                                     ... | ...\n",
-       "113 |     A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 | ...\n",
-       "114 | A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 | ...\n",
-       "114 |     A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 | ...\n",
-       "115 | A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73 | ...\n",
-       "115 |     A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93 | ..."
-      ]
-     },
-     "execution_count": 25,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a.sum(geo=(fla_str, wal_str))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ... and you can avoid naming the dimension ..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo\\sex |   M |   F\n",
-       "  0 |     A25 | 0.0 | 0.0\n",
-       "  0 |     A51 | 0.0 | 0.0\n",
-       "  0 |     A52 | 0.0 | 0.0\n",
-       "  0 |     A53 | 0.0 | 0.0\n",
-       "  0 |     A54 | 0.0 | 0.0\n",
-       "... |     ... | ... | ...\n",
-       "115 |     A84 | 0.0 | 0.0\n",
-       "115 |     A85 | 0.0 | 0.0\n",
-       "115 |     A91 | 0.0 | 0.0\n",
-       "115 |     A92 | 0.0 | 0.0\n",
-       "115 |     A93 | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 26,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a[wal]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### geo is not the first dimension"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "KeyError",
-     "evalue": "'A25'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
-      "\u001b[1;32m<ipython-input-27-908f32399c16>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0ma\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mwal_str\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[1;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key, collapse_slices)\u001b[0m\n\u001b[0;32m    946\u001b[0m         \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    947\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 948\u001b[1;33m         \u001b[0mtranslated_key\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtranslated_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfull_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    949\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    950\u001b[0m         axes = [axis.subaxis(axis_key)\n",
-      "\u001b[1;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslated_key\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    941\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtranslated_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    942\u001b[0m         return tuple(axis.translate(axis_key)\n\u001b[1;32m--> 943\u001b[1;33m                      for axis, axis_key in zip(self.axes, key))\n\u001b[0m\u001b[0;32m    944\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    945\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcollapse_slices\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m<genexpr>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    941\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mtranslated_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    942\u001b[0m         return tuple(axis.translate(axis_key)\n\u001b[1;32m--> 943\u001b[1;33m                      for axis, axis_key in zip(self.axes, key))\n\u001b[0m\u001b[0;32m    944\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    945\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcollapse_slices\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslate\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m    549\u001b[0m             \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    550\u001b[0m             \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m \u001b[1;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 551\u001b[1;33m                 \u001b[0mres\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmapping\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlabel\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    552\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    553\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[1;31mKeyError\u001b[0m: 'A25'"
-     ]
-    }
-   ],
-   "source": [
-    "a[wal_str]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo\\sex |   M |   F\n",
-       "  0 |     A25 | 0.0 | 0.0\n",
-       "  0 |     A51 | 0.0 | 0.0\n",
-       "  0 |     A52 | 0.0 | 0.0\n",
-       "  0 |     A53 | 0.0 | 0.0\n",
-       "  0 |     A54 | 0.0 | 0.0\n",
-       "... |     ... | ... | ...\n",
-       "115 |     A84 | 0.0 | 0.0\n",
-       "115 |     A85 | 0.0 | 0.0\n",
-       "115 |     A91 | 0.0 | 0.0\n",
-       "115 |     A92 | 0.0 | 0.0\n",
-       "115 |     A93 | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 28,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a.filter(geo=wal_str)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ... or using the dimension position"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo\\sex |   M |   F\n",
-       "  0 |     A25 | 0.0 | 0.0\n",
-       "  0 |     A51 | 0.0 | 0.0\n",
-       "  0 |     A52 | 0.0 | 0.0\n",
-       "  0 |     A53 | 0.0 | 0.0\n",
-       "  0 |     A54 | 0.0 | 0.0\n",
-       "... |     ... | ... | ...\n",
-       "115 |     A84 | 0.0 | 0.0\n",
-       "115 |     A85 | 0.0 | 0.0\n",
-       "115 |     A91 | 0.0 | 0.0\n",
-       "115 |     A92 | 0.0 | 0.0\n",
-       "115 |     A93 | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 29,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a[:,wal_str]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### ValueGroup keys can also be slices"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "ValueGroup(slice('A23', 'A42', None))"
-      ]
-     },
-     "execution_count": 30,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo['A23':'A42']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "ValueGroup('A23:A42')"
-      ]
-     },
-     "execution_count": 31,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "geo['A23:A42']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Note that slice stop bounds are _inclusive_"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Notice that the slices are not expanded within the ValueGroup"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "116 x 12 x 2\n",
-       " age [116]: '0' '1' '2' ... '113' '114' '115'\n",
-       " geo [12]: 'A23' 'A24' 'A31' ... 'A38' 'A41' 'A42'\n",
-       " sex [2]: 'M' 'F'"
-      ]
-     },
-     "execution_count": 32,
-     "output_type": "execute_result",
-     "metadata": {}
-    }
-   ],
-   "source": [
-    "a[geo['A23:A42']].info"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3.0
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/notebooks/LArray generate.ipynb b/doc/notebooks/LArray generate.ipynb
deleted file mode 100644
index 7a1978db9..000000000
--- a/doc/notebooks/LArray generate.ipynb	
+++ /dev/null
@@ -1,264 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "from larray import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "age = Axis('age', ':115')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \\\n",
-    "      'A43,A44,A45,A46,A71,A72,A73'\n",
-    "wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \\\n",
-    "      'A83,A84,A85,A91,A92,A93'\n",
-    "bru = 'A21'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "belgium = union(vla, wal, bru)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "geo = Axis('geo', belgium)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "sex = Axis('sex', 'H,F')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "lipro = Axis('lipro', ['P%02d' % i for i in range(1, 16)])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a = zeros([age, geo, sex, lipro])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "116 x 44 x 2 x 15\n",
-       " age [116]: '0' '1' '2' ... '113' '114' '115'\n",
-       " geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'\n",
-       " sex [2]: 'H' 'F'\n",
-       " lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1224960"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.nbytes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo | sex\\lipro | P01 | P02 | P03 | ... | P13 | P14 | P15\n",
-       "  0 | A11 |         H | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "  0 | A11 |         F | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "  0 | A12 |         H | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "  0 | A12 |         F | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "  0 | A13 |         H | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "... | ... |       ... | ... | ... | ... | ... | ... | ... | ...\n",
-       "115 | A92 |         F | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "115 | A93 |         H | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "115 | A93 |         F | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "115 | A21 |         H | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0\n",
-       "115 | A21 |         F | 0.0 | 0.0 | 0.0 | ... | 0.0 | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a[:] = np.random.random(a.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\n",
-       "age | geo | sex\\lipro |               P01 |             P02 | ... |             P14 |            P15\n",
-       "  0 | A11 |         H |    0.668854422352 | 0.0376059619919 | ... |  0.686858789035 |  0.30979163783\n",
-       "  0 | A11 |         F |     0.75855248304 |  0.693872979814 | ... |  0.383254159452 | 0.793161211607\n",
-       "  0 | A12 |         H |    0.314309233292 |  0.563827719724 | ... |  0.262676449687 | 0.471763401789\n",
-       "  0 | A12 |         F |    0.417450209563 |  0.149372133885 | ... |  0.842063762991 | 0.402515717551\n",
-       "  0 | A13 |         H |    0.188513450344 |  0.936639641599 | ... |  0.537113369216 | 0.166630231969\n",
-       "... | ... |       ... |               ... |             ... | ... |             ... |            ...\n",
-       "115 | A92 |         F |    0.327695671322 |  0.572358110697 | ... |  0.433911655829 | 0.761581111946\n",
-       "115 | A93 |         H |    0.177279668293 |  0.710137592292 | ... |  0.830251021661 | 0.981382475774\n",
-       "115 | A93 |         F | 0.000884998592067 |  0.838716214915 | ... | 0.0662629828389 | 0.559637960433\n",
-       "115 | A21 |         H |    0.886919131513 |  0.356640301942 | ... |  0.363741993326 | 0.528099559253\n",
-       "115 | A21 |         F |    0.445025411768 |  0.036338797045 | ... |  0.336746572464 | 0.804422784704"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a.to_csv('test.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.4.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/doc/notebooks/LArray usage.ipynb b/doc/notebooks/LArray usage.ipynb
deleted file mode 100644
index 5febda24b..000000000
--- a/doc/notebooks/LArray usage.ipynb	
+++ /dev/null
@@ -1,5533 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "from larray import *"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Basic input/output"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a = read_csv('test3d.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2007 | 2010 | 2013\n",
-       "  0 |        F | 3722 | 3395 | 3347\n",
-       "  0 |        H |  338 |  316 |  323\n",
-       "  1 |        F | 2878 | 2791 | 2822\n",
-       "  1 |        H | 1121 | 1037 |  976\n",
-       "  2 |        F | 4073 | 4161 | 4429\n",
-       "  2 |        H | 1561 | 1463 | 1467\n",
-       "  3 |        F | 3507 | 3741 | 3366\n",
-       "  3 |        H | 2052 | 2052 | 2118\n",
-       "  4 |        F | 4807 | 4868 | 4852\n",
-       "  4 |        H | 3785 | 3508 | 3172"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# writing it back to a .csv file\n",
-    "a.to_csv('other_test.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# ... or an Excel file\n",
-    "# if the file does not already exist, it is created with a single sheet, otherwise a new sheet is added to it\n",
-    "a.to_excel('test3d.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# reading it back in another variable (reads the first sheet by default)\n",
-    "b = read_excel('test3d.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# it is usually better to specify the sheet explicitly (by name or position) though\n",
-    "b.to_excel('other_test.xlsx', 'my_sheet')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "c = read_excel('other_test.xlsx', 'my_sheet')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2007 | 2010 | 2013\n",
-       "  0 |        F | 3722 | 3395 | 3347\n",
-       "  0 |        H |  338 |  316 |  323\n",
-       "  1 |        F | 2878 | 2791 | 2822\n",
-       "  1 |        H | 1121 | 1037 |  976\n",
-       "  2 |        F | 4073 | 4161 | 4429\n",
-       "  2 |        H | 1561 | 1463 | 1467\n",
-       "  3 |        F | 3507 | 3741 | 3366\n",
-       "  3 |        H | 2052 | 2052 | 2118\n",
-       "  4 |        F | 4807 | 4868 | 4852\n",
-       "  4 |        H | 3785 | 3508 | 3172"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# after a round-trip it is the same as before\n",
-    "c"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Inspecting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5 x 2 x 3\n",
-       " age [5]: 0 1 2 3 4\n",
-       " sex [2]: 'F' 'H'\n",
-       " time [3]: 2007 2010 2013"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# summary of axes information\n",
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(5, 2, 3)"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "30"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# number of elements\n",
-    "a.size"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "240"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# size in memory\n",
-    "a.nbytes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this will open a new window and block execution of the rest of code until the windows is closed!\n",
-    "view(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# an array can also be viewed in a \"live\" Excel instance by not specifying any filename in to_excel\n",
-    "a.to_excel()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Create arrays from scratch"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "age = Axis('age', range(100))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "sex = Axis('sex', ['M', 'F'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "time = Axis('time', range(2016, 2020))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ndrange is mostly useful for testing and examples, it fills an array with increasing numbers\n",
-    "# (garantees that each cell has a unique value)\n",
-    "ndrange([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}* | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9\n",
-       "     | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# or if you are in a hurry / do not want to specify labels for your axes\n",
-    "ndrange(10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}*\\{1}* | 0 | 1 |  2 |  3\n",
-       "        0 | 0 | 1 |  2 |  3\n",
-       "        1 | 4 | 5 |  6 |  7\n",
-       "        2 | 8 | 9 | 10 | 11"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ndrange([3, 4])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex | M | F\n",
-       "    | 0 | 1"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# for real model use, create sequential is usually more interesting. It increments values (by one by default)\n",
-    "# along a single axis (even if the result is multi-dimensional)\n",
-    "create_sequential(sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "bysex = create_sequential(sex, initial=1.0, inc=0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex |   M |   F\n",
-       "    | 1.0 | 1.5"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bysex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M | 10.0 | 11.0 | 12.0 | 13.0\n",
-       "       F | 10.0 | 11.5 | 13.0 | 14.5"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the increment can be itself an larray (ie the increment will be different depending on its axes)\n",
-    "create_sequential(time, initial=10.0, inc=bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 |  2019\n",
-       "       M | 10.0 | 10.0 | 10.0 |  10.0\n",
-       "       F | 10.0 | 15.0 | 22.5 | 33.75"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# likewise, it can also be used to incrementally multiply along an axis (for example, if you have growth rates)\n",
-    "create_sequential(time, initial=10.0, mult=bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# creating an array initialized by duplicating a value\n",
-    "b = full([sex, time], 42)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |   42 |   42 |   42 |   42\n",
-       "       F |   42 |   42 |   42 |   42"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  1.0 |  1.0 |  1.0 |  1.0\n",
-       "       F |  1.5 |  1.5 |  1.5 |  1.5"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the \"value\" can be an array too\n",
-    "full([sex, time], bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  0.0 |  0.0 |  0.0 |  0.0\n",
-       "       F |  0.0 |  0.0 |  0.0 |  0.0"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "zeros([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  1.0 |  1.0 |  1.0 |  1.0\n",
-       "       F |  1.0 |  1.0 |  1.0 |  1.0"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "ones([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 |      2017 |                 2018 |                 2019\n",
-       "       M |  0.0 |       0.0 |                  0.0 |                  0.0\n",
-       "       F |  0.0 | 8.42e-321 | 1.3750532725455e-311 | 1.3750532725455e-311"
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# uninitialised array with correct axes (much faster but use with care!).\n",
-    "# This not really random either, it just reuses a portion of memory that is available, with whatever content is there.\n",
-    "empty([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# if you will initialize it ENTIRELY manually, and performance matters (in a loop for example), it can make sense to use that\n",
-    "# instead of the other functions (zeros, ...)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "e = empty([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "e['F'] = 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "e['M'] = time"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time |   2016 |   2017 |   2018 |   2019\n",
-       "       M | 2016.0 | 2017.0 | 2018.0 | 2019.0\n",
-       "       F |    2.0 |    2.0 |    2.0 |    2.0"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "e"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    1 |    1 |    1 |    1\n",
-       "       F |    1 |    1 |    1 |    1"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# all the above function exist in *_like variants which takes axes from another array\n",
-    "ones_like(b)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Getting subsets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us create some test array\n",
-    "a = ndrange([age, sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "100 x 2 x 4\n",
-       " age [100]: 0 1 2 ... 97 98 99\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |   84 |   85 |   86 |   87"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# to take subsets of an array, use []. Single elements along an axis drop the concerned dimensions; \n",
-    "# other dimensions are left intact. Here we take women aged 10:\n",
-    "a[10, 'F']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018\n",
-       " 10 |        M |   81 |   82\n",
-       " 10 |        F |   85 |   86\n",
-       " 11 |        M |   89 |   90\n",
-       " 11 |        F |   93 |   94\n",
-       " 12 |        M |   97 |   98\n",
-       " 12 |        F |  101 |  102\n",
-       " 13 |        M |  105 |  106\n",
-       " 13 |        F |  109 |  110"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can also take slices of an array (from a label to another label).\n",
-    "a[10:13, 2017:2018]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018 | 2019\n",
-       "  0 |        M |    1 |    2 |    3\n",
-       "  0 |        F |    5 |    6 |    7\n",
-       "  1 |        M |    9 |   10 |   11\n",
-       "  1 |        F |   13 |   14 |   15\n",
-       "  2 |        M |   17 |   18 |   19\n",
-       "  2 |        F |   21 |   22 |   23\n",
-       "  3 |        M |   25 |   26 |   27\n",
-       "  3 |        F |   29 |   30 |   31"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# slices bounds are optional: if not given start is assumed to be the first label and stop is the last one.\n",
-    "a[:3, 2017:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018 | 2019\n",
-       "  3 |        M |   25 |   26 |   27\n",
-       "  3 |        F |   29 |   30 |   31\n",
-       "  5 |        M |   41 |   42 |   43\n",
-       "  5 |        F |   45 |   46 |   47\n",
-       "  7 |        M |   57 |   58 |   59\n",
-       "  7 |        F |   61 |   62 |   63\n",
-       "  9 |        M |   73 |   74 |   75\n",
-       "  9 |        F |   77 |   78 |   79"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# slices can also have a step (defaults to 1), to take every Nth labels\n",
-    "a[3:9:2, 2017:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018\n",
-       " 10 |        M |   80 |   81 |   82\n",
-       " 10 |        F |   84 |   85 |   86\n",
-       " 12 |        M |   96 |   97 |   98\n",
-       " 12 |        F |  100 |  101 |  102\n",
-       " 15 |        M |  120 |  121 |  122\n",
-       " 15 |        F |  124 |  125 |  126"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can also use list of labels to take non-contiguous labels\n",
-    "a[[10, 12, 15], :2018]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 47,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\time | 2016 | 2018 | 2019\n",
-       "      10 |   84 |   86 |   87\n",
-       "      12 |  100 |  102 |  103\n",
-       "      14 |  116 |  118 |  119\n",
-       "      16 |  132 |  134 |  135\n",
-       "      18 |  148 |  150 |  151"
-      ]
-     },
-     "execution_count": 47,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can combine all of the above\n",
-    "a[10:18:2, 'F', [2016, 2018, 2019]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 48,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\time | 2016 | 2017 | 2018\n",
-       "      10 |   84 |   85 |   86\n",
-       "      11 |   92 |   93 |   94\n",
-       "      12 |  100 |  101 |  102\n",
-       "      13 |  108 |  109 |  110\n",
-       "      14 |  116 |  117 |  118\n",
-       "      15 |  124 |  125 |  126\n",
-       "      16 |  132 |  133 |  134\n",
-       "      17 |  140 |  141 |  142\n",
-       "      18 |  148 |  149 |  150\n",
-       "      19 |  156 |  157 |  158"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the order of indexing does not matter either, so you usually do not care/have to remember about axes positions\n",
-    "# during computation. It only matters for output.\n",
-    "a[:2018, 10:19, 'F']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# let us now create an array with the same labels on several axes\n",
-    "age2 = age.rename('age2')\n",
-    "a2 = ndrange([age, age2, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "100 x 100 x 4\n",
-       " age [100]: 0 1 2 ... 97 98 99\n",
-       " age2 [100]: 0 1 2 ... 97 98 99\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a2.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 52,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "slice(10, 13, None) is ambiguous (valid in age, age2)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-52-5a2a3c31a206>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# in this case a subset is ambiguous and this results in an error:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma2\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m13\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key, collapse_slices)\u001b[0m\n\u001b[1;32m   2763\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2764\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2765\u001b[0;31m         \u001b[0mtranslated_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranslated_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2767\u001b[0m         \u001b[0;31m# FIXME: I have a huge problem with boolean labels + non points\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslated_key\u001b[0;34m(self, key, bool_stuff)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2566\u001b[0m                                                   bool_passthrough)\n\u001b[1;32m   2567\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2568\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_translate_axis_key_chunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbool_passthrough\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2570\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_guess_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key_chunk\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2530\u001b[0m             \u001b[0mvalid_axes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m', '\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2531\u001b[0m             raise ValueError('%s is ambiguous (valid in %s)' %\n\u001b[0;32m-> 2532\u001b[0;31m                              (axis_key, valid_axes))\n\u001b[0m\u001b[1;32m   2533\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0maxis_pos_key\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2534\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: slice(10, 13, None) is ambiguous (valid in age, age2)"
-     ]
-    }
-   ],
-   "source": [
-    "# in this case a subset is ambiguous and this results in an error:\n",
-    "a2[10:13]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 53,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# In that case, one must specify explicitly which axis he wants to subset...\n",
-    "a3 = a2[x.age[10:13], :2018]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4 x 100 x 3\n",
-       " age [4]: 10 11 12 13\n",
-       " age2 [100]: 0 1 2 ... 97 98 99\n",
-       " time [3]: 2016 2017 2018"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a3.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Assigning subsets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 55,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# let us work with a smaller array\n",
-    "b = a[10:12].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 56,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   82 |   83\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   90 |   91\n",
-       " 11 |        F |   92 |   93 |   94 |   95\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 57,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# one can set the value of a subset of an array using a similar syntax than for getting a subset\n",
-    "b[:11, 'M', 2018:] = -1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 58,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   -1 |   -1\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   -1 |   -1\n",
-       " 11 |        F |   92 |   93 |   94 |   95\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "This also works if the new value is an array itself. In that case, that array can have less axes than the target but those which are present must be compatible with the subset being targetted."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "new_value = create_sequential(sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex | M | F\n",
-       "    | 0 | 1"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 61,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# this assigns 0 to men and 1 to women for all persons aged 11 or less and for years after 2018\n",
-    "b[:11, 2018:] = new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 62,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |    0 |    0\n",
-       " 10 |        F |   84 |   85 |    1 |    1\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    1 |    1\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### the value being assigned must have compatible axes with the target slice"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 63,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us suppose we want to assign a new value wich depends only on time\n",
-    "new_value = create_sequential(time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |    0 |    1 |    2 |    3"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "could not broadcast input array from shape (1,1,4) into shape (2,2,2)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-65-faa252fbe2b0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m2018\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__setitem__\u001b[0;34m(self, key, value, collapse_slices)\u001b[0m\n\u001b[1;32m   2857\u001b[0m         \u001b[0;31m# if value is a \"raw\" ndarray we rely on numpy broadcasting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2858\u001b[0m         \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcross_key\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbroadcast_with\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2859\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLArray\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2860\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2861\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_bool_key_new_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwildcard_allowed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: could not broadcast input array from shape (1,1,4) into shape (2,2,2)"
-     ]
-    }
-   ],
-   "source": [
-    "b[:11, 2018:] = new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2 x 2 x 2\n",
-       " age [2]: 10 11\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [2]: 2018 2019"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the problem is that the target subset has a time axis of length 2\n",
-    "b[:11, 2018:].info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ... while new_value has a time axis of length 4\n",
-    "new_value.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 68,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2018 | 2019\n",
-       "     |    2 |    3"
-      ]
-     },
-     "execution_count": 68,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# we must make sure the value being assigned has the correct time axis:\n",
-    "new_value[2018:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# ... so this works:\n",
-    "b[:11, 2018:] = new_value[2018:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |    2 |    3\n",
-       " 10 |        F |   84 |   85 |    2 |    3\n",
-       " 11 |        M |   88 |   89 |    2 |    3\n",
-       " 11 |        F |   92 |   93 |    2 |    3\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### one very important gotcha though..."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-warning\">\n",
-    "**<span style=\"color:red\">WARNING</span>**: modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. This has two important consequences: \n",
-    "* taking a slice subset of an array is extremely fast (no data is copied)\n",
-    "* if one modifies that subset in-place, one also **modifies the original array**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us create a small test array\n",
-    "a = ndrange([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 72,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 73,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "b = a[2018:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2018 | 2019\n",
-       "       M |    2 |    3\n",
-       "       F |    6 |    7"
-      ]
-     },
-     "execution_count": 74,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 75,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# modify b in place...\n",
-    "b['M'] = 42"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 76,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2018 | 2019\n",
-       "       M |   42 |   42\n",
-       "       F |    6 |    7"
-      ]
-     },
-     "execution_count": 76,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 77,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |   42 |   42\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ... but a was also modified !!!!\n",
-    "a"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### how to avoid the problem? use .copy()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-info\">\n",
-    "Whenever you modify an array in-place, ask yourself: is this a copy or a view? If what you wanted was to modify a copy, verify that you are indeed working on a copy. A copy can be done using **.copy()**\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 78,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us create the same small test array\n",
-    "a = ndrange([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 79,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# but this time, we take a copy\n",
-    "b = a[2018:].copy()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 81,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2018 | 2019\n",
-       "       M |    2 |    3\n",
-       "       F |    6 |    7"
-      ]
-     },
-     "execution_count": 81,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# modify b in place...\n",
-    "b['M'] = 42"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2018 | 2019\n",
-       "       M |   42 |   42\n",
-       "       F |    6 |    7"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this time a was not modified !\n",
-    "a"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Using positions (indices) instead of labels"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### sometimes it is more practical to use positions along the axis, instead of labels"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "<div class=\"alert alert-info\">\n",
-    "Remember that positions (indices) are always **0-based** in Python. So the first element is at position 0, the second is at position 1, etc.\n",
-    "</div>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us recreate our test array\n",
-    "a = ndrange([age, sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018 | 2019\n",
-       " 10 |        M |   81 |   82 |   83\n",
-       " 10 |        F |   85 |   86 |   87\n",
-       " 11 |        M |   89 |   90 |   91\n",
-       " 11 |        F |   93 |   94 |   95\n",
-       " 12 |        M |   97 |   98 |   99\n",
-       " 12 |        F |  101 |  102 |  103\n",
-       " 13 |        M |  105 |  106 |  107\n",
-       " 13 |        F |  109 |  110 |  111"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one might want to use positional subsets, for example, to skip the first year whatever it is (2016 in this case). \n",
-    "a[10:13, x.time.i[1:]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018\n",
-       " 10 |        M |   80 |   81 |   82\n",
-       " 10 |        F |   84 |   85 |   86\n",
-       " 11 |        M |   88 |   89 |   90\n",
-       " 11 |        F |   92 |   93 |   94\n",
-       " 12 |        M |   96 |   97 |   98\n",
-       " 12 |        F |  100 |  101 |  102\n",
-       " 13 |        M |  104 |  105 |  106\n",
-       " 13 |        F |  108 |  109 |  110"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# omit last year whatever it is (2019) (negative position start at the end: -1 is the last, -2 the one before, etc.)\n",
-    "a[10:13, x.time.i[:-1]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   82 |   83\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   90 |   91\n",
-       " 11 |        F |   92 |   93 |   94 |   95\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 88,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# also note that the end *indice* (position) is EXCLUSIVE (while the end label is inclusive)\n",
-    "a[x.age.i[10:13]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   82 |   83\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   90 |   91\n",
-       " 11 |        F |   92 |   93 |   94 |   95\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103\n",
-       " 13 |        M |  104 |  105 |  106 |  107\n",
-       " 13 |        F |  108 |  109 |  110 |  111"
-      ]
-     },
-     "execution_count": 89,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# compare this with\n",
-    "a[x.age[10:13]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018\n",
-       " 10 |        M |   81 |   82\n",
-       " 10 |        F |   85 |   86\n",
-       " 11 |        M |   89 |   90\n",
-       " 11 |        F |   93 |   94\n",
-       " 12 |        M |   97 |   98\n",
-       " 12 |        F |  101 |  102"
-      ]
-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can also rely on indices/positions for both axes labels and the axes themselves. In this context, using \"full\" slices\n",
-    "# (without start nor end bound) must be used to avoid subsetting a dimension ...\n",
-    "a.i[10:13, :, 1:3]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   82 |   83\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   90 |   91\n",
-       " 11 |        F |   92 |   93 |   94 |   95\n",
-       " 12 |        M |   96 |   97 |   98 |   99\n",
-       " 12 |        F |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 91,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ... though this is only necessary if you want to take a subset on a dimension without also\n",
-    "# taking a subset of all dimensions before it. So, for example if one wants to subset the first dimension, this works:\n",
-    "a.i[10:13]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# ... but for the third one you have to write:\n",
-    "a4 = a.i[:, :, 2:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 93,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "100 x 2 x 2\n",
-       " age [100]: 0 1 2 ... 97 98 99\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [2]: 2018 2019"
-      ]
-     },
-     "execution_count": 93,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a4.info"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Reordering axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 94,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | sex\\age | 0 |  1 |  2 |  3 |  4 | ... |  95 |  96 |  97 |  98 |  99\n",
-       "2016 |       M | 0 |  8 | 16 | 24 | 32 | ... | 760 | 768 | 776 | 784 | 792\n",
-       "2016 |       F | 4 | 12 | 20 | 28 | 36 | ... | 764 | 772 | 780 | 788 | 796\n",
-       "2017 |       M | 1 |  9 | 17 | 25 | 33 | ... | 761 | 769 | 777 | 785 | 793\n",
-       "2017 |       F | 5 | 13 | 21 | 29 | 37 | ... | 765 | 773 | 781 | 789 | 797\n",
-       "2018 |       M | 2 | 10 | 18 | 26 | 34 | ... | 762 | 770 | 778 | 786 | 794\n",
-       "2018 |       F | 6 | 14 | 22 | 30 | 38 | ... | 766 | 774 | 782 | 790 | 798\n",
-       "2019 |       M | 3 | 11 | 19 | 27 | 35 | ... | 763 | 771 | 779 | 787 | 795\n",
-       "2019 |       F | 7 | 15 | 23 | 31 | 39 | ... | 767 | 775 | 783 | 791 | 799"
-      ]
-     },
-     "execution_count": 94,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# the last axis is always in columns\n",
-    "a.transpose(x.time, x.sex, x.age)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 95,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex | age\\time | 2016 | 2017 | 2018 | 2019\n",
-       "  M |       10 |   80 |   81 |   82 |   83\n",
-       "  M |       11 |   88 |   89 |   90 |   91\n",
-       "  M |       12 |   96 |   97 |   98 |   99\n",
-       "  F |       10 |   84 |   85 |   86 |   87\n",
-       "  F |       11 |   92 |   93 |   94 |   95\n",
-       "  F |       12 |  100 |  101 |  102 |  103"
-      ]
-     },
-     "execution_count": 95,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# axes not mentioned come after those which are mentioned (and keep their relative order)\n",
-    "a[10:12].transpose(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Groups"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 96,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# one can define and reuse groups of labels (or indices)\n",
-    "teens = x.age[10:19]\n",
-    "twenties = x.age[20:29]\n",
-    "strange = x.age[[30, 55, 52, 25, 99]]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  240 |  241 |  242 |  243\n",
-       " 30 |        F |  244 |  245 |  246 |  247\n",
-       " 55 |        M |  440 |  441 |  442 |  443\n",
-       " 55 |        F |  444 |  445 |  446 |  447\n",
-       " 52 |        M |  416 |  417 |  418 |  419\n",
-       " 52 |        F |  420 |  421 |  422 |  423\n",
-       " 25 |        M |  200 |  201 |  202 |  203\n",
-       " 25 |        F |  204 |  205 |  206 |  207\n",
-       " 99 |        M |  792 |  793 |  794 |  795\n",
-       " 99 |        F |  796 |  797 |  798 |  799"
-      ]
-     },
-     "execution_count": 97,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a[strange]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Aggregates"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## full axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 98,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time |  2016 |  2017 |  2018 |  2019\n",
-       "       M | 39600 | 39700 | 39800 | 39900\n",
-       "       F | 40000 | 40100 | 40200 | 40300"
-      ]
-     },
-     "execution_count": 98,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## by group"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 99,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M | 1160 | 1170 | 1180 | 1190\n",
-       "       F | 1200 | 1210 | 1220 | 1230"
-      ]
-     },
-     "execution_count": 99,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.sum(teens)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 100,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "        age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "      10:19 |        M | 1160 | 1170 | 1180 | 1190\n",
-       "      10:19 |        F | 1200 | 1210 | 1220 | 1230\n",
-       "      20:29 |        M | 1960 | 1970 | 1980 | 1990\n",
-       "      20:29 |        F | 2000 | 2010 | 2020 | 2030\n",
-       "[30 ... 99] |        M | 2088 | 2093 | 2098 | 2103\n",
-       "[30 ... 99] |        F | 2108 | 2113 | 2118 | 2123"
-      ]
-     },
-     "execution_count": 100,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# several groups\n",
-    "a.sum((teens, twenties, strange))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 101,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "    age\\sex |    M |    F\n",
-       "      10:19 | 4700 | 4860\n",
-       "      20:29 | 7900 | 8060\n",
-       "[30 ... 99] | 8382 | 8462"
-      ]
-     },
-     "execution_count": 101,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# combined with other axes\n",
-    "a.sum((teens, twenties, strange), x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 102,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# there are many other aggregate functions built-in: \n",
-    "# mean, min, max, median, percentile, var (variance), std (standard deviation)\n",
-    "# argmin, argmax (label indirect minimum/maxium -- labels where the value is minimum/maximum)\n",
-    "# posargmin, posargmax (positional indirect minimum/maxium -- position along axis where the value is minimum/maximum)\n",
-    "# cumsum, cumprod (cumulative sum, cumulative product)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Using named groups"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 103,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "teens = x.age[10:19].named('teens')\n",
-    "twenties = x.age[20:29].named('twenties')\n",
-    "strange = x.age[[30, 55, 52, 25, 99]].named('strange')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 104,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                    age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "        'teens' (10:19) |        M | 1160 | 1170 | 1180 | 1190\n",
-       "        'teens' (10:19) |        F | 1200 | 1210 | 1220 | 1230\n",
-       "     'twenties' (20:29) |        M | 1960 | 1970 | 1980 | 1990\n",
-       "     'twenties' (20:29) |        F | 2000 | 2010 | 2020 | 2030\n",
-       "'strange' ([30 ... 99]) |        M | 2088 | 2093 | 2098 | 2103\n",
-       "'strange' ([30 ... 99]) |        F | 2108 | 2113 | 2118 | 2123"
-      ]
-     },
-     "execution_count": 104,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.sum((teens, twenties, strange))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Arithmetic operations"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 105,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# let us use a small subset\n",
-    "a = a[strange]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 106,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  240 |  241 |  242 |  243\n",
-       " 30 |        F |  244 |  245 |  246 |  247\n",
-       " 55 |        M |  440 |  441 |  442 |  443\n",
-       " 55 |        F |  444 |  445 |  446 |  447\n",
-       " 52 |        M |  416 |  417 |  418 |  419\n",
-       " 52 |        F |  420 |  421 |  422 |  423\n",
-       " 25 |        M |  200 |  201 |  202 |  203\n",
-       " 25 |        F |  204 |  205 |  206 |  207\n",
-       " 99 |        M |  792 |  793 |  794 |  795\n",
-       " 99 |        F |  796 |  797 |  798 |  799"
-      ]
-     },
-     "execution_count": 106,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 107,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  241 |  242 |  243 |  244\n",
-       " 30 |        F |  245 |  246 |  247 |  248\n",
-       " 55 |        M |  441 |  442 |  443 |  444\n",
-       " 55 |        F |  445 |  446 |  447 |  448\n",
-       " 52 |        M |  417 |  418 |  419 |  420\n",
-       " 52 |        F |  421 |  422 |  423 |  424\n",
-       " 25 |        M |  201 |  202 |  203 |  204\n",
-       " 25 |        F |  205 |  206 |  207 |  208\n",
-       " 99 |        M |  793 |  794 |  795 |  796\n",
-       " 99 |        F |  797 |  798 |  799 |  800"
-      ]
-     },
-     "execution_count": 107,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can do all usual arithmetic operations on an array, it will apply the operation to all elements individually\n",
-    "a + 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 108,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  480 |  482 |  484 |  486\n",
-       " 30 |        F |  488 |  490 |  492 |  494\n",
-       " 55 |        M |  880 |  882 |  884 |  886\n",
-       " 55 |        F |  888 |  890 |  892 |  894\n",
-       " 52 |        M |  832 |  834 |  836 |  838\n",
-       " 52 |        F |  840 |  842 |  844 |  846\n",
-       " 25 |        M |  400 |  402 |  404 |  406\n",
-       " 25 |        F |  408 |  410 |  412 |  414\n",
-       " 99 |        M | 1584 | 1586 | 1588 | 1590\n",
-       " 99 |        F | 1592 | 1594 | 1596 | 1598"
-      ]
-     },
-     "execution_count": 108,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a * 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 109,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\time | 2016 | 2017 | 2018 | 2019\n",
-       "      30 |  484 |  486 |  488 |  490\n",
-       "      55 |  884 |  886 |  888 |  890\n",
-       "      52 |  836 |  838 |  840 |  842\n",
-       "      25 |  404 |  406 |  408 |  410\n",
-       "      99 | 1588 | 1590 | 1592 | 1594"
-      ]
-     },
-     "execution_count": 109,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# more interestingly, it also works between two arrays\n",
-    "a['F'] + a['M']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 110,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "incompatible axes:\nAxis('age', [30, 55, 52, 25])\nvs\nAxis('age', [55, 52, 25, 99])",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-110-59cfcfcf6bb3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# but it only works when arrays have compatible axes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m55\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mopmethod\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m   3904\u001b[0m                 \u001b[0;31m# TODO: first test if it is not already broadcastable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3905\u001b[0m                 \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_axes\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3906\u001b[0;31m                     \u001b[0mmake_numpy_broadcastable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3907\u001b[0m                 \u001b[0mother\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3908\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mLArray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msuper_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mother\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mres_axes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mmake_numpy_broadcastable\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   6193\u001b[0m     \u001b[0;34m*\u001b[0m \u001b[0mlength\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0mwildcard\u001b[0m \u001b[0maxes\u001b[0m \u001b[0mwill\u001b[0m \u001b[0mbe\u001b[0m \u001b[0madded\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxes\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mpresent\u001b[0m \u001b[0;32min\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6194\u001b[0m     \"\"\"\n\u001b[0;32m-> 6195\u001b[0;31m     \u001b[0mall_axes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mget_axes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6196\u001b[0m     return [v.broadcast_with(all_axes) if isinstance(v, LArray) else v\n\u001b[1;32m   6197\u001b[0m             for v in values], all_axes\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36munion\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1388\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1389\u001b[0m                 \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mAxisCollection\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1390\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalidate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvalidate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreplace_wildcards\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreplace_wildcards\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1391\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1392\u001b[0m     \u001b[0m__or__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0munion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mextend\u001b[0;34m(self, axes, validate, replace_wildcards)\u001b[0m\n\u001b[1;32m   1568\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mvalidate\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mold_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miscompatible\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1569\u001b[0m                     raise ValueError(\"incompatible axes:\\n%r\\nvs\\n%r\"\n\u001b[0;32m-> 1570\u001b[0;31m                                      % (axis, old_axis))\n\u001b[0m\u001b[1;32m   1571\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mreplace_wildcards\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mold_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miswildcard\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1572\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mold_axis\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: incompatible axes:\nAxis('age', [30, 55, 52, 25])\nvs\nAxis('age', [55, 52, 25, 99])"
-     ]
-    }
-   ],
-   "source": [
-    "# but it only works when arrays have compatible axes\n",
-    "a[55:] + a[:25]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 111,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\time | 2016 | 2017 | 2018 | 2019\n",
-       "      55 |  688 |  690 |  692 |  694\n",
-       "      52 |  864 |  866 |  868 |  870\n",
-       "      25 |  624 |  626 |  628 |  630\n",
-       "      99 | 1000 | 1002 | 1004 | 1006"
-      ]
-     },
-     "execution_count": 111,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# but you can override that (at your own risk). In that case only the position on the axis is used and not the labels.\n",
-    "a[55:, 'F'] + a[:25, 'F'].drop_labels(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### All usual operations are provided using the usual symbols, including +, -, *, /, <, >, <=, >= "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
-   "source": [
-    "There are a few worth mentioning explicitly:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 112,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M | True | True | True | True\n",
-       " 30 |        F | True | True | True | True\n",
-       " 55 |        M | True | True | True | True\n",
-       " 55 |        F | True | True | True | True\n",
-       " 52 |        M | True | True | True | True\n",
-       " 52 |        F | True | True | True | True\n",
-       " 25 |        M | True | True | True | True\n",
-       " 25 |        F | True | True | True | True\n",
-       " 99 |        M | True | True | True | True\n",
-       " 99 |        F | True | True | True | True"
-      ]
-     },
-     "execution_count": 112,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# testing for equality is done using == (a single = assigns the value)\n",
-    "a == a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 113,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
-       " 30 |        M | False | False | False | False\n",
-       " 30 |        F | False | False | False | False\n",
-       " 55 |        M | False | False | False | False\n",
-       " 55 |        F | False | False | False | False\n",
-       " 52 |        M | False | False | False | False\n",
-       " 52 |        F | False | False | False | False\n",
-       " 25 |        M | False | False | False | False\n",
-       " 25 |        F | False | False | False | False\n",
-       " 99 |        M | False | False | False | False\n",
-       " 99 |        F | False | False | False | False"
-      ]
-     },
-     "execution_count": 113,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# testing for inequality\n",
-    "a != a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 114,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |   2016 |   2017 |   2018 |   2019\n",
-       " 30 |        M |  57600 |  58081 |  58564 |  59049\n",
-       " 30 |        F |  59536 |  60025 |  60516 |  61009\n",
-       " 55 |        M | 193600 | 194481 | 195364 | 196249\n",
-       " 55 |        F | 197136 | 198025 | 198916 | 199809\n",
-       " 52 |        M | 173056 | 173889 | 174724 | 175561\n",
-       " 52 |        F | 176400 | 177241 | 178084 | 178929\n",
-       " 25 |        M |  40000 |  40401 |  40804 |  41209\n",
-       " 25 |        F |  41616 |  42025 |  42436 |  42849\n",
-       " 99 |        M | 627264 | 628849 | 630436 | 632025\n",
-       " 99 |        F | 633616 | 635209 | 636804 | 638401"
-      ]
-     },
-     "execution_count": 114,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ** means raising to the power (squaring in this case)\n",
-    "a ** 2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 115,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |    0 |    1 |    2 |    3\n",
-       " 30 |        F |    4 |    5 |    6 |    7\n",
-       " 55 |        M |    0 |    1 |    2 |    3\n",
-       " 55 |        F |    4 |    5 |    6 |    7\n",
-       " 52 |        M |    6 |    7 |    8 |    9\n",
-       " 52 |        F |    0 |    1 |    2 |    3\n",
-       " 25 |        M |    0 |    1 |    2 |    3\n",
-       " 25 |        F |    4 |    5 |    6 |    7\n",
-       " 99 |        M |    2 |    3 |    4 |    5\n",
-       " 99 |        F |    6 |    7 |    8 |    9"
-      ]
-     },
-     "execution_count": 115,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# % means modulo (aka remainder of division)\n",
-    "a % 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 116,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  240 |  241 |  242 |  243\n",
-       " 30 |        F |  244 |  245 |  246 |  247\n",
-       " 55 |        M |  440 |  441 |  442 |  443\n",
-       " 55 |        F |  444 |  445 |  446 |  447\n",
-       " 52 |        M |  416 |  417 |  418 |  419\n",
-       " 52 |        F |  420 |  421 |  422 |  423\n",
-       " 25 |        M |  200 |  201 |  202 |  203\n",
-       " 25 |        F |  204 |  205 |  206 |  207\n",
-       " 99 |        M |  792 |  793 |  794 |  795\n",
-       " 99 |        F |  796 |  797 |  798 |  799"
-      ]
-     },
-     "execution_count": 116,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# what was our test data like again?\n",
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 117,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
-       " 30 |        M | False | False | False | False\n",
-       " 30 |        F | False | False | False | False\n",
-       " 55 |        M |  True |  True |  True |  True\n",
-       " 55 |        F |  True | False | False | False\n",
-       " 52 |        M |  True |  True |  True |  True\n",
-       " 52 |        F |  True |  True |  True |  True\n",
-       " 25 |        M | False | False | False | False\n",
-       " 25 |        F | False | False | False | False\n",
-       " 99 |        M | False | False | False | False\n",
-       " 99 |        F | False | False | False | False"
-      ]
-     },
-     "execution_count": 117,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# & means (boolean array) and\n",
-    "(a >= 400) & (a < 445)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 118,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |  2016 |  2017 |  2018 |  2019\n",
-       " 30 |        M |  True |  True |  True |  True\n",
-       " 30 |        F |  True | False | False | False\n",
-       " 55 |        M | False | False | False | False\n",
-       " 55 |        F | False | False | False | False\n",
-       " 52 |        M | False | False | False | False\n",
-       " 52 |        F | False | False | False | False\n",
-       " 25 |        M |  True |  True |  True |  True\n",
-       " 25 |        F |  True |  True |  True |  True\n",
-       " 99 |        M | False | False | False |  True\n",
-       " 99 |        F |  True |  True |  True |  True"
-      ]
-     },
-     "execution_count": 118,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# | means (boolean array) or\n",
-    "(a < 245) | (a >= 795)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Arithmetic operations with missing axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 119,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M | 2088 | 2093 | 2098 | 2103\n",
-       "       F | 2108 | 2113 | 2118 | 2123"
-      ]
-     },
-     "execution_count": 119,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 120,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5 x 2 x 4\n",
-       " age [5]: 30 55 52 25 99\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 120,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# a has 3 dimensions\n",
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 121,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2 x 4\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 121,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# and a.sum(x.age) has 2\n",
-    "a.sum(x.age).info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 122,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |                2016 | ... |                2019\n",
-       " 30 |        M | 0.11494252873563218 | ... | 0.11554921540656206\n",
-       " 30 |        F |  0.1157495256166983 | ... | 0.11634479510127178\n",
-       " 55 |        M |   0.210727969348659 | ... | 0.21065145030908225\n",
-       " 55 |        F | 0.21062618595825428 | ... | 0.21055110692416393\n",
-       " 52 |        M | 0.19923371647509577 | ... | 0.19923918212077985\n",
-       " 52 |        F | 0.19924098671726756 | ... | 0.19924634950541686\n",
-       " 25 |        M | 0.09578544061302682 | ... | 0.09652876842605801\n",
-       " 25 |        F |  0.0967741935483871 | ... | 0.09750353273669336\n",
-       " 99 |        M |  0.3793103448275862 | ... |  0.3780313837375178\n",
-       " 99 |        F |  0.3776091081593928 | ... |  0.3763542157324541"
-      ]
-     },
-     "execution_count": 122,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# you can do operation with missing axes so this works\n",
-    "a / a.sum(x.age)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 123,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |                2016 | ... |                2019\n",
-       " 30 |        M | 0.11494252873563218 | ... | 0.11554921540656206\n",
-       " 30 |        F |  0.1157495256166983 | ... | 0.11634479510127178\n",
-       " 55 |        M |   0.210727969348659 | ... | 0.21065145030908225\n",
-       " 55 |        F | 0.21062618595825428 | ... | 0.21055110692416393\n",
-       " 52 |        M | 0.19923371647509577 | ... | 0.19923918212077985\n",
-       " 52 |        F | 0.19924098671726756 | ... | 0.19924634950541686\n",
-       " 25 |        M | 0.09578544061302682 | ... | 0.09652876842605801\n",
-       " 25 |        F |  0.0967741935483871 | ... | 0.09750353273669336\n",
-       " 99 |        M |  0.3793103448275862 | ... |  0.3780313837375178\n",
-       " 99 |        F |  0.3776091081593928 | ... |  0.3763542157324541"
-      ]
-     },
-     "execution_count": 123,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this particular operation (dividing the array by its sum along an axis) is built-in though:\n",
-    "a.ratio(x.age)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 124,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |               2016 | ... |               2019\n",
-       " 30 |        M | 11.494252873563218 | ... | 11.554921540656206\n",
-       " 30 |        F | 11.574952561669829 | ... | 11.634479510127179\n",
-       " 55 |        M |   21.0727969348659 | ... | 21.065145030908226\n",
-       " 55 |        F | 21.062618595825427 | ... |  21.05511069241639\n",
-       " 52 |        M |  19.92337164750958 | ... | 19.923918212077982\n",
-       " 52 |        F | 19.924098671726757 | ... | 19.924634950541687\n",
-       " 25 |        M |  9.578544061302683 | ... |  9.652876842605801\n",
-       " 25 |        F |   9.67741935483871 | ... |  9.750353273669337\n",
-       " 99 |        M |  37.93103448275862 | ... | 37.803138373751786\n",
-       " 99 |        F | 37.760910815939276 | ... |  37.63542157324541"
-      ]
-     },
-     "execution_count": 124,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# or, if you want * 100\n",
-    "a.percent(x.age)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## axis order does not matter much (except for output)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 125,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 30 |        M |  240 |  241 |  242 |  243\n",
-       " 30 |        F |  244 |  245 |  246 |  247\n",
-       " 55 |        M |  440 |  441 |  442 |  443\n",
-       " 55 |        F |  444 |  445 |  446 |  447\n",
-       " 52 |        M |  416 |  417 |  418 |  419\n",
-       " 52 |        F |  420 |  421 |  422 |  423\n",
-       " 25 |        M |  200 |  201 |  202 |  203\n",
-       " 25 |        F |  204 |  205 |  206 |  207\n",
-       " 99 |        M |  792 |  793 |  794 |  795\n",
-       " 99 |        F |  796 |  797 |  798 |  799"
-      ]
-     },
-     "execution_count": 125,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 126,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# let us change the order of axes\n",
-    "a_transposed = a.transpose()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 127,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | sex\\age |  30 |  55 |  52 |  25 |  99\n",
-       "2016 |       M | 240 | 440 | 416 | 200 | 792\n",
-       "2016 |       F | 244 | 444 | 420 | 204 | 796\n",
-       "2017 |       M | 241 | 441 | 417 | 201 | 793\n",
-       "2017 |       F | 245 | 445 | 421 | 205 | 797\n",
-       "2018 |       M | 242 | 442 | 418 | 202 | 794\n",
-       "2018 |       F | 246 | 446 | 422 | 206 | 798\n",
-       "2019 |       M | 243 | 443 | 419 | 203 | 795\n",
-       "2019 |       F | 247 | 447 | 423 | 207 | 799"
-      ]
-     },
-     "execution_count": 127,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a_transposed"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 128,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | sex\\age |  30 |  55 |  52 |  25 |   99\n",
-       "2016 |       M | 480 | 880 | 832 | 400 | 1584\n",
-       "2016 |       F | 488 | 888 | 840 | 408 | 1592\n",
-       "2017 |       M | 482 | 882 | 834 | 402 | 1586\n",
-       "2017 |       F | 490 | 890 | 842 | 410 | 1594\n",
-       "2018 |       M | 484 | 884 | 836 | 404 | 1588\n",
-       "2018 |       F | 492 | 892 | 844 | 412 | 1596\n",
-       "2019 |       M | 486 | 886 | 838 | 406 | 1590\n",
-       "2019 |       F | 494 | 894 | 846 | 414 | 1598"
-      ]
-     },
-     "execution_count": 128,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# you can do operations between arrays having different axes order. The axis order of the result\n",
-    "# is the same as the left array\n",
-    "a_transposed + a"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Boolean filtering"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us recreate our original test array\n",
-    "a = ndrange([age, sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "100 x 2 x 4\n",
-       " age [100]: 0 1 2 ... 97 98 99\n",
-       " sex [2]: 'M' 'F'\n",
-       " time [4]: 2016 2017 2018 2019"
-      ]
-     },
-     "execution_count": 130,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 131,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Axis('age', [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])"
-      ]
-     },
-     "execution_count": 131,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 132,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age |     0 |     1 |     2 |     3 | ... |   95 |   96 |   97 |   98 |   99\n",
-       "    | False | False | False | False | ... | True | True | True | True | True"
-      ]
-     },
-     "execution_count": 132,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age > 10"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 133,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |   81 |   82 |   83\n",
-       " 10 |        F |   84 |   85 |   86 |   87\n",
-       " 11 |        M |   88 |   89 |   90 |   91\n",
-       " 11 |        F |   92 |   93 |   94 |   95"
-      ]
-     },
-     "execution_count": 133,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this more cumbersome than a[10:11] or even a[x.age[10:11]] but more powerful\n",
-    "a[(age >= 10) & (age < 12)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 134,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# because in this case the bounds can themselves be arrays\n",
-    "age_limit = create_sequential(time, initial=10)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 135,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |   10 |   11 |   12 |   13"
-      ]
-     },
-     "execution_count": 135,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "age_limit"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 136,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age\\time |  2016 |  2017 |  2018 |  2019\n",
-       "       5 | False | False | False | False\n",
-       "       6 | False | False | False | False\n",
-       "       7 | False | False | False | False\n",
-       "       8 | False | False | False | False\n",
-       "       9 | False | False | False | False\n",
-       "      10 |  True | False | False | False\n",
-       "      11 |  True |  True | False | False\n",
-       "      12 |  True |  True |  True | False\n",
-       "      13 |  True |  True |  True |  True\n",
-       "      14 |  True |  True |  True |  True\n",
-       "      15 |  True |  True |  True |  True\n",
-       "      16 |  True |  True |  True |  True\n",
-       "      17 |  True |  True |  True |  True\n",
-       "      18 |  True |  True |  True |  True\n",
-       "      19 |  True |  True |  True |  True\n",
-       "      20 |  True |  True |  True |  True"
-      ]
-     },
-     "execution_count": 136,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "(age >= age_limit)[5:20]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 137,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# select all cells which satisfy the filter, but note that it collapse all the concerned axes (age and time)\n",
-    "r = a[age >= age_limit]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 138,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "354 x 2\n",
-       " age,time [354]: '10,2016' '11,2016' '11,2017' ... '99,2017' '99,2018' '99,2019'\n",
-       " sex [2]: 'M' 'F'"
-      ]
-     },
-     "execution_count": 138,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "r.info"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 139,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "slice(10, None, None) is not a valid label for any axis",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-139-f3e304899c59>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# does not work!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key, collapse_slices)\u001b[0m\n\u001b[1;32m   2763\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2764\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2765\u001b[0;31m         \u001b[0mtranslated_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtranslated_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2766\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2767\u001b[0m         \u001b[0;31m# FIXME: I have a huge problem with boolean labels + non points\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36mtranslated_key\u001b[0;34m(self, key, bool_stuff)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   2664\u001b[0m             key = [self._translate_axis_key(axis_key,\n\u001b[1;32m   2665\u001b[0m                                             bool_passthrough=not bool_stuff)\n\u001b[0;32m-> 2666\u001b[0;31m                    for axis_key in key]\n\u001b[0m\u001b[1;32m   2667\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2668\u001b[0m             \u001b[0;32massert\u001b[0m \u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPGroup\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maxis_key\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2566\u001b[0m                                                   bool_passthrough)\n\u001b[1;32m   2567\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2568\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_translate_axis_key_chunk\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis_key\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbool_passthrough\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2570\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_guess_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mc:\\users\\gdm\\devel\\larray\\larray\\core.py\u001b[0m in \u001b[0;36m_translate_axis_key_chunk\u001b[0;34m(self, axis_key, bool_passthrough)\u001b[0m\n\u001b[1;32m   2525\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mvalid_axes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2526\u001b[0m             raise ValueError(\"%s is not a valid label for any axis\"\n\u001b[0;32m-> 2527\u001b[0;31m                              % axis_key)\n\u001b[0m\u001b[1;32m   2528\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalid_axes\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2529\u001b[0m             \u001b[0;31m# FIXME: .id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: slice(10, None, None) is not a valid label for any axis"
-     ]
-    }
-   ],
-   "source": [
-    "# does not work!\n",
-    "r[10:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 140,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age,time\\sex |   M |   F\n",
-       "     10,2016 |  80 |  84\n",
-       "     11,2016 |  88 |  92\n",
-       "     11,2017 |  89 |  93\n",
-       "     12,2016 |  96 | 100\n",
-       "     12,2017 |  97 | 101\n",
-       "     12,2018 |  98 | 102\n",
-       "     13,2016 | 104 | 108\n",
-       "     13,2017 | 105 | 109\n",
-       "     13,2018 | 106 | 110\n",
-       "     13,2019 | 107 | 111"
-      ]
-     },
-     "execution_count": 140,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "r.i[:10]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 141,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# for that reason, sometimes it is more useful to not select, but rather set to 0 (or another value) non matching elements\n",
-    "a[age < age_limit] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 142,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 13 |        M |  104 |  105 |  106 |  107\n",
-       " 13 |        F |  108 |  109 |  110 |  111\n",
-       " 14 |        M |  112 |  113 |  114 |  115\n",
-       " 14 |        F |  116 |  117 |  118 |  119\n",
-       " 15 |        M |  120 |  121 |  122 |  123\n",
-       " 15 |        F |  124 |  125 |  126 |  127"
-      ]
-     },
-     "execution_count": 142,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a[10:15]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 143,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# or to multiply by that criterion (which also sets to 0)\n",
-    "b = a * (age >= age_limit)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 13 |        M |  104 |  105 |  106 |  107\n",
-       " 13 |        F |  108 |  109 |  110 |  111\n",
-       " 14 |        M |  112 |  113 |  114 |  115\n",
-       " 14 |        F |  116 |  117 |  118 |  119\n",
-       " 15 |        M |  120 |  121 |  122 |  123\n",
-       " 15 |        F |  124 |  125 |  126 |  127"
-      ]
-     },
-     "execution_count": 144,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b[10:15]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "# Relabeling"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 145,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "b = a[10:12]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 146,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 146,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 147,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "c = b.set_labels(x.sex, ['Men', 'Women'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 148,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |    Women |   80 |    0 |    0 |    0\n",
-       " 10 |      Men |   84 |    0 |    0 |    0\n",
-       " 11 |    Women |   88 |   89 |    0 |    0\n",
-       " 11 |      Men |   92 |   93 |    0 |    0\n",
-       " 12 |    Women |   96 |   97 |   98 |    0\n",
-       " 12 |      Men |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 148,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "c"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Renaming axes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 149,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | gender\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |       Women |   80 |    0 |    0 |    0\n",
-       " 10 |         Men |   84 |    0 |    0 |    0\n",
-       " 11 |       Women |   88 |   89 |    0 |    0\n",
-       " 11 |         Men |   92 |   93 |    0 |    0\n",
-       " 12 |       Women |   96 |   97 |   98 |    0\n",
-       " 12 |         Men |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 149,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "c.rename(x.sex, x.gender)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | gender\\year | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |       Women |   80 |    0 |    0 |    0\n",
-       " 10 |         Men |   84 |    0 |    0 |    0\n",
-       " 11 |       Women |   88 |   89 |    0 |    0\n",
-       " 11 |         Men |   92 |   93 |    0 |    0\n",
-       " 12 |       Women |   96 |   97 |   98 |    0\n",
-       " 12 |         Men |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 150,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# renaming several axes at once is more convenient using:\n",
-    "c.rename(sex='gender', time='year')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Combining arrays"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### appending/prepending one element to an axis of an array (.append/.prepend)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 151,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 151,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 152,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# suppose in this case, that we want to append total by sex. \n",
-    "# In practice, this is a bad example because adding totals is such a common operation that there is a dedicated method\n",
-    "# for this. See the \"adding totals\" section.\n",
-    "bysex = b.sum(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 10 |    total |  164 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 11 |    total |  180 |  182 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 12 |    total |  196 |  198 |  200 |    0"
-      ]
-     },
-     "execution_count": 153,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b.append(x.sex, bysex, 'total')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 154,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |  2016 |  2017 |  2018 | 2019\n",
-       " 10 |     mean |  82.0 |   0.0 |   0.0 |  0.0\n",
-       " 10 |        M |  80.0 |   0.0 |   0.0 |  0.0\n",
-       " 10 |        F |  84.0 |   0.0 |   0.0 |  0.0\n",
-       " 11 |     mean |  90.0 |  91.0 |   0.0 |  0.0\n",
-       " 11 |        M |  88.0 |  89.0 |   0.0 |  0.0\n",
-       " 11 |        F |  92.0 |  93.0 |   0.0 |  0.0\n",
-       " 12 |     mean |  98.0 |  99.0 | 100.0 |  0.0\n",
-       " 12 |        M |  96.0 |  97.0 |  98.0 |  0.0\n",
-       " 12 |        F | 100.0 | 101.0 | 102.0 |  0.0"
-      ]
-     },
-     "execution_count": 154,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# you can also add something at the start of an axis\n",
-    "b.prepend(x.sex, b.mean(x.sex), 'mean')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 155,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# the value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible\n",
-    "new_value = create_sequential(time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 156,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |    0 |    1 |    2 |    3"
-      ]
-     },
-     "execution_count": 156,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 157,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |    other |    0 |    1 |    2 |    3\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |    other |    0 |    1 |    2 |    3\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |    other |    0 |    1 |    2 |    3\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 157,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b.prepend(x.sex, new_value, 'other')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### extending an array along an axis with another array _with_ that axis (but other labels) (.extend)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 158,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "new_value = zeros(Axis('age', range(20, 22)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 159,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age |  20 |  21\n",
-       "    | 0.0 | 0.0"
-      ]
-     },
-     "execution_count": 159,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "new_value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 160,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 20 |        M |    0 |    0 |    0 |    0\n",
-       " 20 |        F |    0 |    0 |    0 |    0\n",
-       " 21 |        M |    0 |    0 |    0 |    0\n",
-       " 21 |        F |    0 |    0 |    0 |    0"
-      ]
-     },
-     "execution_count": 160,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b.extend(x.age, new_value)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### stacking several arrays together to create an entirely new dimension (stack)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 161,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "m = create_sequential(time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 162,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |    0 |    1 |    2 |    3"
-      ]
-     },
-     "execution_count": 162,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "m"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 163,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "f = create_sequential(time, initial=5, inc=-1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 164,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |    5 |    4 |    3 |    2"
-      ]
-     },
-     "execution_count": 164,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "f"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 165,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Axis('sex', ['M', 'F'])"
-      ]
-     },
-     "execution_count": 165,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 166,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time\\sex | M | F\n",
-       "    2016 | 0 | 5\n",
-       "    2017 | 1 | 4\n",
-       "    2018 | 2 | 3\n",
-       "    2019 | 3 | 2"
-      ]
-     },
-     "execution_count": 166,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stack([m, f], sex)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Adding totals"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 167,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 10 |    total |  164 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 11 |    total |  180 |  182 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 12 |    total |  196 |  198 |  200 |    0"
-      ]
-     },
-     "execution_count": 167,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b.with_total(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 168,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "  age | sex\\time | 2016 | 2017 | 2018 | 2019 | total\n",
-       "   10 |        M |   80 |    0 |    0 |    0 |    80\n",
-       "   10 |        F |   84 |    0 |    0 |    0 |    84\n",
-       "   10 |    total |  164 |    0 |    0 |    0 |   164\n",
-       "   11 |        M |   88 |   89 |    0 |    0 |   177\n",
-       "   11 |        F |   92 |   93 |    0 |    0 |   185\n",
-       "   11 |    total |  180 |  182 |    0 |    0 |   362\n",
-       "   12 |        M |   96 |   97 |   98 |    0 |   291\n",
-       "   12 |        F |  100 |  101 |  102 |    0 |   303\n",
-       "   12 |    total |  196 |  198 |  200 |    0 |   594\n",
-       "total |        M |  264 |  186 |   98 |    0 |   548\n",
-       "total |        F |  276 |  194 |  102 |    0 |   572\n",
-       "total |    total |  540 |  380 |  200 |    0 |  1120"
-      ]
-     },
-     "execution_count": 168,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# one can also add totals to all axes at once\n",
-    "b.with_total()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "# Sorting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 169,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 169,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 170,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# sorts an axis (alphabetically if labels are strings)\n",
-    "sorted_b = b.sort_axis(x.sex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 171,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0"
-      ]
-     },
-     "execution_count": 171,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sorted_b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 172,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time |    0 |    1 |    2 |    3\n",
-       " 10 |        F | 2017 | 2018 | 2019 | 2016\n",
-       " 10 |        M | 2017 | 2018 | 2019 | 2016\n",
-       " 11 |        F | 2018 | 2019 | 2016 | 2017\n",
-       " 11 |        M | 2018 | 2019 | 2016 | 2017\n",
-       " 12 |        F | 2019 | 2016 | 2017 | 2018\n",
-       " 12 |        M | 2019 | 2016 | 2017 | 2018"
-      ]
-     },
-     "execution_count": 172,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# indirect sort along an axis (ie give labels which would sort the axis)\n",
-    "sorted_b.argsort(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 173,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2017 | 2018 | 2019 | 2016\n",
-       " 10 |        F |    0 |    0 |    0 |   84\n",
-       " 10 |        M |    0 |    0 |    0 |   80\n",
-       " 11 |        F |   93 |    0 |    0 |   92\n",
-       " 11 |        M |   89 |    0 |    0 |   88\n",
-       " 12 |        F |  101 |  102 |    0 |  100\n",
-       " 12 |        M |   97 |   98 |    0 |   96"
-      ]
-     },
-     "execution_count": 173,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sorted_b.sort_values((10, 'M'))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Plotting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 174,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "c = a.sum(x.age) - 39000"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 175,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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W0AqSTgK+HhFnSroBeD0ilkq6BmiJiCXph7Z3AieQdOWsAmb3H0fBQyuYWaWM5qEVWltb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\nHPhmZjnhwDczywkHvplZTjjwzcxy4v8DjLh0GaeS1woAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x288668fe2b0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "d = c.transpose(x.time).plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Misc other interesting methods"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 176,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   80 |    0 |    0 |    0\n",
-       " 10 |        F |   84 |    0 |    0 |    0\n",
-       " 11 |        M |   88 |   89 |    0 |    0\n",
-       " 11 |        F |   92 |   93 |    0 |    0\n",
-       " 12 |        M |   96 |   97 |   98 |    0\n",
-       " 12 |        F |  100 |  101 |  102 |    0"
-      ]
-     },
-     "execution_count": 176,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# let us take some small test data\n",
-    "b = a[10:12]\n",
-    "b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## where"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "where can be used to apply some compution depending on a condition"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 177,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "c = where(b < 85, -1, b * 2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 178,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "age | sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       " 10 |        M |   -1 |   -1 |   -1 |   -1\n",
-       " 10 |        F |   -1 |   -1 |   -1 |   -1\n",
-       " 11 |        M |  176 |  178 |   -1 |   -1\n",
-       " 11 |        F |  184 |  186 |   -1 |   -1\n",
-       " 12 |        M |  192 |  194 |  196 |   -1\n",
-       " 12 |        F |  200 |  202 |  204 |   -1"
-      ]
-     },
-     "execution_count": 178,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "c"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## clip"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 179,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "a = ndrange((sex, time))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 180,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 181,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    2 |    2 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    6"
-      ]
-     },
-     "execution_count": 181,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# values below 2 are set to 2, above 6 set to 6\n",
-    "a.clip(2, 6)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## divnot0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 182,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 182,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 183,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "b = ones(time)\n",
-    "b[2016] = 0"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 184,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "time | 2016 | 2017 | 2018 | 2019\n",
-       "     |  0.0 |  1.0 |  1.0 |  1.0"
-      ]
-     },
-     "execution_count": 184,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 185,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  nan |  1.0 |  2.0 |  3.0\n",
-       "       F |  inf |  5.0 |  6.0 |  7.0"
-      ]
-     },
-     "execution_count": 185,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# dividing by zero normally produces \"inf\" (for infinite) if the numerator is not zero or \"nan\" (for not a number) if it is\n",
-    "a / b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 186,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  0.0 |  1.0 |  2.0 |  3.0\n",
-       "       F |  0.0 |  5.0 |  6.0 |  7.0"
-      ]
-     },
-     "execution_count": 186,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# but in some cases, you do not want that. You can use the divnot0 method instead. Using it should be done with care though\n",
-    "# because it can hide a real error in your data.\n",
-    "a.divnot0(b)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## diff (discrete difference along an axis)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "... or how to compute the value increase since the previous year for each year"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 187,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# let us first recreate some data\n",
-    "bysex = create_sequential(sex, initial=1.5, inc=0.5)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 188,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex |   M |   F\n",
-       "    | 1.5 | 2.0"
-      ]
-     },
-     "execution_count": 188,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bysex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 189,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = create_sequential(time, initial=1.0, inc=bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 190,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  1.0 |  2.5 |  4.0 |  5.5\n",
-       "       F |  1.0 |  3.0 |  5.0 |  7.0"
-      ]
-     },
-     "execution_count": 190,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 191,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2017 | 2018 | 2019\n",
-       "       M |  1.5 |  1.5 |  1.5\n",
-       "       F |  2.0 |  2.0 |  2.0"
-      ]
-     },
-     "execution_count": 191,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.diff(x.time)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## growth_rate"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
-   "source": [
-    "using the same principle than diff..."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 192,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex |   M |   F\n",
-       "    | 1.5 | 2.0"
-      ]
-     },
-     "execution_count": 192,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "bysex"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 193,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# but using \"mult\" this time\n",
-    "a = create_sequential(time, initial=1.0, mult=bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 194,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 |  2019\n",
-       "       M |  1.0 |  1.5 | 2.25 | 3.375\n",
-       "       F |  1.0 |  2.0 |  4.0 |   8.0"
-      ]
-     },
-     "execution_count": 194,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2017 | 2018 | 2019\n",
-       "       M |  0.5 |  0.5 |  0.5\n",
-       "       F |  1.0 |  1.0 |  1.0"
-      ]
-     },
-     "execution_count": 195,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.growth_rate(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 196,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2017 | 2018 | 2019\n",
-       "       M |  1.5 |  1.5 |  1.5\n",
-       "       F |  2.0 |  2.0 |  2.0"
-      ]
-     },
-     "execution_count": 196,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a.growth_rate(x.time) + 1"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## shift - drop first label of an axis and shift all subsequent labels"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 197,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = create_sequential(time, initial=1.0, inc=bysex)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 198,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |  1.0 |  2.5 |  4.0 |  5.5\n",
-       "       F |  1.0 |  3.0 |  5.0 |  7.0"
-      ]
-     },
-     "execution_count": 198,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 199,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2017 | 2018 | 2019\n",
-       "       M |  1.0 |  2.5 |  4.0\n",
-       "       F |  1.0 |  3.0 |  5.0"
-      ]
-     },
-     "execution_count": 199,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# when shift is applied on an (increasing) time axis, it effectively brings \"past\" data into the future\n",
-    "a.shift(x.time)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 200,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2017 | 2018 | 2019\n",
-       "       M |  1.5 |  1.5 |  1.5\n",
-       "       F |  2.0 |  2.0 |  2.0"
-      ]
-     },
-     "execution_count": 200,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# this is mostly useful when you want to do operations between the past and now\n",
-    "# as an example, here is an alternative implementation of the .diff method seen above:\n",
-    "a[2017:] - a.shift(x.time)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Misc other interesting functions"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "There are a lot more functions available: \n",
-    "- round, floor, ceil, trunc, \n",
-    "- exp, log, log10, \n",
-    "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
-    "- sin, cos, tan, arcsin, arccos, arctan\n",
-    "- ...\n",
-    "- and many many more..."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "## more Excel IO"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 201,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = ndrange((sex, time))\n",
-    "wb = open_excel('c:/tmp/test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 202,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# put a at A1 in Sheet1, excluding headers (labels)\n",
-    "wb['Sheet1'] = a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 203,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# dump a at A1 in Sheet2, including headers (labels)\n",
-    "wb['Sheet2'] = a.dump()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 204,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# save the file to disk\n",
-    "wb.save()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 205,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# close it\n",
-    "wb.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 206,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb = open_excel('c:/tmp/test.xlsx')\n",
-    "# load a from the data starting at A1 in Sheet1, assuming the absence of headers.\n",
-    "a1 = wb['Sheet1']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<larray.excel.Sheet at 0x28867209908>"
-      ]
-     },
-     "execution_count": 207,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# load a from the data starting at A1 in Sheet1, assuming the presence of (correctly formatted) headers.\n",
-    "a2 = wb['Sheet2'].load()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 209,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 209,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 211,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb = open_excel('c:/tmp/test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 212,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# note that Sheet2 must exist\n",
-    "sheet2 = wb['Sheet2']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 213,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# write a without labels starting at C5\n",
-    "sheet2['C5'] = a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 214,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# write a with its labels starting at A10\n",
-    "sheet2['A10'] = a.dump()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 215,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.save()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 216,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# load an array with its axes information from a range. \n",
-    "# As you might have guessed, we could also use the sheet2 variable here\n",
-    "b = wb['Sheet2']['A10:D12'].load()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 217,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018\n",
-       "       M |    0 |    1 |    2\n",
-       "       F |    4 |    5 |    6"
-      ]
-     },
-     "execution_count": 217,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "b"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 218,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# load an array (raw data) with no axis information from a range. \n",
-    "c = sheet2['B11:D12']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 219,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "larray.excel.Range"
-      ]
-     },
-     "execution_count": 219,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# in fact, this is not really an LArray ...\n",
-    "type(c)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 220,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{0}* |   0 |   1 |   2\n",
-       "     | 4.0 | 6.0 | 8.0"
-      ]
-     },
-     "execution_count": 220,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# ... but it can be used as such (this is currently very experimental)\n",
-    "c.sum(axis=0)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 221,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# ... and it can be used for other stuff, like setting the formula instead of the value:\n",
-    "c.formula = '=D10+1'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 222,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# in the future, we should also be able to set font name, size, style, etc."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 223,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "wb.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sessions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 224,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "a = ndrange([sex, time])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 225,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 225,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 226,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# you can group several arrays in a Session\n",
-    "s1 = Session()\n",
-    "s1.a = a\n",
-    "s1.b = zeros_like(a)\n",
-    "s1.c = ones_like(a)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 227,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# view(s1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### the advantage of sessions is that you can manipulate all of the arrays in them in one shot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 228,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'C:\\\\Users\\\\gdm\\\\devel\\\\larray\\\\doc\\\\notebooks'"
-      ]
-     },
-     "execution_count": 228,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pwd"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 229,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "sex\\time | 2016 | 2017 | 2018 | 2019\n",
-       "       M |    0 |    1 |    2 |    3\n",
-       "       F |    4 |    5 |    6 |    7"
-      ]
-     },
-     "execution_count": 229,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1.a"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 230,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
-    "s1.dump('test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 231,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
-    "s1.dump('test.h5')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 232,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this creates a session out of all arrays in the .h5 file\n",
-    "s2 = Session('test.h5')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 233,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(a, b, c)"
-      ]
-     },
-     "execution_count": 233,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 234,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# the excel version does not work currently (axes are not detected properly)\n",
-    "s3 = Session('test.xlsx')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 235,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# view(s2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 236,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "name |    a |    b |    c\n",
-       "     | True | True | True"
-      ]
-     },
-     "execution_count": 236,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1 == s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 237,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "# let us introduce a difference (a variant, or a mistake perhaps)\n",
-    "s2.b['F', 2018:] = 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 238,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "name |    a |     b |    c\n",
-       "     | True | False | True"
-      ]
-     },
-     "execution_count": 238,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1 == s2"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 239,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "s1_diff = s1[s1 != s2]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 240,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(b)"
-      ]
-     },
-     "execution_count": 240,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s1_diff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 241,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "s2_diff = s2[s1 != s2]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 242,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Session(b)"
-      ]
-     },
-     "execution_count": 242,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s2_diff"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 243,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "# this a bit experimental but can be usefull nonetheless\n",
-    "compare(s1_diff[0], s2_diff[0])"
-   ]
-  }
- ],
- "metadata": {
-  "celltoolbar": "Raw Cell Format",
-  "kernelspec": {
-   "display_name": "Python [default]",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.5.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 0
-}
diff --git a/doc/notebooks/Pandas vs LArray benchmark.ipynb b/doc/notebooks/Pandas vs LArray benchmark.ipynb
deleted file mode 100644
index 776a933ed..000000000
--- a/doc/notebooks/Pandas vs LArray benchmark.ipynb	
+++ /dev/null
@@ -1,439 +0,0 @@
-{
- "metadata": {
-  "name": "",
-  "signature": "sha256:17bb1ddede92e9bd4dc39acbda0c110d1f9feecfa4af52958b666067e1b81ef4"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import pandas as pd"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "df = pd.read_hdf('c:/tmp/kh/rgl_df_fixed.h5', 'rgl')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "df.index.levels"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 5,
-       "text": [
-        "FrozenList([['T'], ['F', 'H'], ['1519', '2024', '2529', '3034', '3539', '4044', '4549', '5054', '5559', '6064', '6569', '7074', '7599', 'ONBE'], ['A', 'B', 'D', 'E', 'L', 'M', 'P', 'R', 'U', 'V', 'W', 'X', 'Y', 'Z'], ['A', 'B', 'F', 'X'], ['R', 'U'], ['D', 'I', 'M', 'O', 'V'], ['G', 'K'], ['01A1', '02A1', '03A1', '05A1', '08A1', '09A1', '10A1', '10B1', '10C1', '10D1', '10E1', '10F1', '10G1', '10H1', '10I1', '10J1', '11A1', '11B1', '12A1', '13A1', '13B1', '14A1', '15A1', '16A1', '17A1', '18A1', '19A1', '20A1', '20B1', '20C1', '20D1', '20E1', '20F1', '20G1', '21A1', '22A1', '22B1', '23A1', '23B1', '23C1', '23D1', '24A1', '24B1A', '24B1B', '24B1C', '25A1', '25B1', '25C1', '26A1A', '26A1B', '26B1A', '26B1B', '26C1A', '26C1B', '26C1C', '27A1A', '27A1B', '27A1C', '27B1', '28A1', '28B1', '29A1', '29B1', '30A1', '30B1', '30C1', '30D1', '31A1', '32A1', '32B1A', '32B1B', '33A1A', '33A1B', '35A1', '35B1', '36A1', '37A1', '37A3', '38A1', '38B1', '39A1', '41A1A', '41A1B', '42A1', '43A1', '43B1', '43C1', '43D1', '45A1', '46A1', '46B1', '47A1', '47B1', '49A1A', '49A1B', '49B1', '49B3', '49C1', '50A1', '50B1', ...]])"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "df.index.names"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 6,
-       "text": [
-        "FrozenList(['geo', 'sex', 'agecat', 'type', 'sector', 'stat', 'contract', 'dim', 'bedrijfstak\\time'])"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit df.xs('2024', level='agecat')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10 loops, best of 3: 22.1 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# peaks at 500Mb RAM !\n",
-      "timeit pd.read_hdf('c:/tmp/kh/rgl_df_fixed.h5', 'rgl')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 286 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# timeit pd.read_csv('c:/tmp/kh/rgl.csv', index_col=list(range(9)))\n",
-      "# more than 10s !!"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 10
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit df.loc[(slice(None), slice(None), slice('2024', '3539')),:]"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10 loops, best of 3: 85.4 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 11
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit df.loc(axis=0)[:, :, '2024':'3539']"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10 loops, best of 3: 84.8 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 12
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "df.loc(axis=0)[:, :, '2024':'3539'].sum().sum()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 19,
-       "text": [
-        "218329668937901.34"
-       ]
-      }
-     ],
-     "prompt_number": 19
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit df.loc(axis=0)[:, :, '2024':'3539'].sum().sum()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 240 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 20
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "s = df.stack()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 14
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "del df"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 21
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit s.loc[:, :, '2024':'3539']"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 1.43 s per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 22
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "del s"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 23
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import larray as la"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "a = la.read_hdf('c:/tmp/kh/rgl_la.h5', 'rgl')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit a.filter(agecat='2024:3539')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "10000 loops, best of 3: 129 \u00b5s per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 27
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "a.filter(agecat='2024:3539')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 28,
-       "text": [
-        "\n",
-        "geo | sex | agecat | type | sector | stat | contract | dim | bedrijfstak\\time | ...\n",
-        "  T |   F |   2024 |    A |      A |    R |        D |   G |             01A1 | ...\n",
-        "  T |   F |   2024 |    A |      A |    R |        D |   G |             02A1 | ...\n",
-        "  T |   F |   2024 |    A |      A |    R |        D |   G |             03A1 | ...\n",
-        "  T |   F |   2024 |    A |      A |    R |        D |   G |             05A1 | ...\n",
-        "  T |   F |   2024 |    A |      A |    R |        D |   G |             08A1 | ...\n",
-        "... | ... |    ... |  ... |    ... |  ... |      ... | ... |              ... | ...\n",
-        "  T |   H |   3539 |    Z |      X |    U |        V |   K |             98A1 | ...\n",
-        "  T |   H |   3539 |    Z |      X |    U |        V |   K |             99A9 | ...\n",
-        "  T |   H |   3539 |    Z |      X |    U |        V |   K |               MO | ...\n",
-        "  T |   H |   3539 |    Z |      X |    U |        V |   K |              ONT | ...\n",
-        "  T |   H |   3539 |    Z |      X |    U |        V |   K |               PH | ..."
-       ]
-      }
-     ],
-     "prompt_number": 28
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "import numpy as np"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 31
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "a[np.isnan(a)] = 0"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 33
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "a.sum()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 34,
-       "text": [
-        "465606507083673.5"
-       ]
-      }
-     ],
-     "prompt_number": 34
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "timeit a.sum()"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 385 ms per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 35
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# peaks at 5Gb RAM !\n",
-      "timeit la.read_hdf('c:/tmp/kh/rgl_la.h5', 'rgl')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 6.4 s per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "# peaks at 10Gb RAM !\n",
-      "timeit la.read_hdf('c:/tmp/kh/rgl_df_fixed.h5', 'rgl')"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "1 loops, best of 3: 12.2 s per loop\n"
-       ]
-      }
-     ],
-     "prompt_number": 39
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [],
-     "language": "python",
-     "metadata": {},
-     "outputs": []
-    }
-   ],
-   "metadata": {}
-  }
- ]
-}
\ No newline at end of file
diff --git a/doc/notebooks/Python functions.ipynb b/doc/notebooks/Python functions.ipynb
deleted file mode 100644
index b512eeb7e..000000000
--- a/doc/notebooks/Python functions.ipynb	
+++ /dev/null
@@ -1,750 +0,0 @@
-{
- "metadata": {
-  "name": "",
-  "signature": "sha256:277ee028bef695ea969b5f8bdf880f84b2dcc1ebc46a5f8503377718bdd4848b"
- },
- "nbformat": 3,
- "nbformat_minor": 0,
- "worksheets": [
-  {
-   "cells": [
-    {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Defining a function"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def plus(a, b):\n",
-      "    \"\"\"adds a and b\"\"\"\n",
-      "    return a + b"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 1
-    },
-    {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Using it"
-     ]
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "In a simple call, arguments are assigned by position (we call them positional arguments)"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(1, 2)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 2,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 2
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "All required arguments need to be provided"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "ename": "TypeError",
-       "evalue": "plus() missing 1 required positional argument: 'b'",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-        "\u001b[1;32m<ipython-input-3-fe33f936f0e5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplus\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-        "\u001b[1;31mTypeError\u001b[0m: plus() missing 1 required positional argument: 'b'"
-       ]
-      }
-     ],
-     "prompt_number": 3
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "We can also use the argument names as _keywords_ (we call them keyword arguments)"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(a=1, b=2)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 4,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 4
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "in that case order does not matter"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(b=2, a=1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 5,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 5
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "or even mix positional arguments and keyword arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(2, b=3)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 6,
-       "text": [
-        "5"
-       ]
-      }
-     ],
-     "prompt_number": 6
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "but keyword arguments must always come AFTER positional arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(a=1, 3)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "ename": "SyntaxError",
-       "evalue": "non-keyword arg after keyword arg (<ipython-input-7-1ca20ee4a9ba>, line 1)",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-7-1ca20ee4a9ba>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    plus(a=1, 3)\u001b[0m\n\u001b[1;37m             ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m non-keyword arg after keyword arg\n"
-       ]
-      }
-     ],
-     "prompt_number": 7
-    },
-    {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Default values for arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def plus(a, b=1):\n",
-      "    \"\"\"\n",
-      "    adds a and b\n",
-      "    b defaults to 1 if not provided\n",
-      "    \"\"\"\n",
-      "    return a + b"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 8
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "all the above calls are still valid"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(1, 2)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 9,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 9
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "but you can now omit arguments which have a default value"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plus(2)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 10,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 10
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "arguments with default values need to be _defined_ after normal (required) arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def plus(a=1, b):\n",
-      "    return a + b"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "ename": "SyntaxError",
-       "evalue": "non-default argument follows default argument (<ipython-input-11-688fc8d7088a>, line 1)",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-11-688fc8d7088a>\"\u001b[1;36m, line \u001b[1;32m1\u001b[0m\n\u001b[1;33m    def plus(a=1, b):\u001b[0m\n\u001b[1;37m            ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m non-default argument follows default argument\n"
-       ]
-      }
-     ],
-     "prompt_number": 11
-    },
-    {
-     "cell_type": "heading",
-     "level": 2,
-     "metadata": {},
-     "source": [
-      "Variable number of (positional) arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def plusall(a, b, *args, c=5):\n",
-      "    print(args)\n",
-      "    args[2] = 1\n",
-      "    return sum(args) + c"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 12
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plusall(1, 2, 3, 4, c=8)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "(3, 4)\n"
-       ]
-      },
-      {
-       "ename": "TypeError",
-       "evalue": "'tuple' object does not support item assignment",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-        "\u001b[1;32m<ipython-input-13-215984cc60b2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplusall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m4\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m8\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-        "\u001b[1;32m<ipython-input-12-99e3449a14bf>\u001b[0m in \u001b[0;36mplusall\u001b[1;34m(a, b, c, *args)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mplusall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0margs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-        "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
-       ]
-      }
-     ],
-     "prompt_number": 13
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plusall(1, 2, c=5)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "()\n"
-       ]
-      },
-      {
-       "ename": "TypeError",
-       "evalue": "'tuple' object does not support item assignment",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-        "\u001b[1;32m<ipython-input-14-11020698188e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mplusall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-        "\u001b[1;32m<ipython-input-12-99e3449a14bf>\u001b[0m in \u001b[0;36mplusall\u001b[1;34m(a, b, c, *args)\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mplusall\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0margs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0msum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mc\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-        "\u001b[1;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
-       ]
-      }
-     ],
-     "prompt_number": 14
-    },
-    {
-     "cell_type": "heading",
-     "level": 2,
-     "metadata": {},
-     "source": [
-      "Variable number of keyword arguments"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def plusall(*a, b=1, c=1, **kw):\n",
-      "    print(\"args\", a)\n",
-      "    print(\"kwargs\", kw)\n",
-      "    return sum(a) + sum(kw.values()) + b + c\n",
-      "    "
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 15
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "plusall(1, 2, 3, a=4, b=5)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "args (1, 2, 3)\n",
-        "kwargs {'a': 4}\n"
-       ]
-      },
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 16,
-       "text": [
-        "16"
-       ]
-      }
-     ],
-     "prompt_number": 16
-    },
-    {
-     "cell_type": "heading",
-     "level": 1,
-     "metadata": {},
-     "source": [
-      "Inside functions"
-     ]
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "variables that you _create_ inside a function are local to the function by default"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def test(a):\n",
-      "    y = 2 + a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 17
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "test(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 18
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "y"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "ename": "NameError",
-       "evalue": "name 'y' is not defined",
-       "output_type": "pyerr",
-       "traceback": [
-        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-        "\u001b[1;32m<ipython-input-19-009520053b00>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0my\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-        "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined"
-       ]
-      }
-     ],
-     "prompt_number": 19
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "variables that you define outside of a function are global (accessible outside of any function and within all functions)"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def test(a):\n",
-      "    return x + a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 20
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "x = 10"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 21
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "test(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 22,
-       "text": [
-        "11"
-       ]
-      }
-     ],
-     "prompt_number": 22
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "the value of the global variable is the one at the time of the call"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "x = 1"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 23
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "test(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 24,
-       "text": [
-        "2"
-       ]
-      }
-     ],
-     "prompt_number": 24
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "you _can_ create global variables within functions..."
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def test(a):\n",
-      "    global y\n",
-      "    y = 2 + a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 25
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "test(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 26
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "y"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 27,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 27
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "... but this should be _avoided_ as much as possible. In most cases, you can replace them by the more robust:"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def test(a):\n",
-      "    return 2 + a"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 28
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "z = test(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 29
-    },
-    {
-     "cell_type": "heading",
-     "level": 3,
-     "metadata": {},
-     "source": [
-      "z is a global variable"
-     ]
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "z"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 30,
-       "text": [
-        "3"
-       ]
-      }
-     ],
-     "prompt_number": 30
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "def testz(a):\n",
-      "    return a + z"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [],
-     "prompt_number": 31
-    },
-    {
-     "cell_type": "code",
-     "collapsed": false,
-     "input": [
-      "testz(1)"
-     ],
-     "language": "python",
-     "metadata": {},
-     "outputs": [
-      {
-       "metadata": {},
-       "output_type": "pyout",
-       "prompt_number": 32,
-       "text": [
-        "4"
-       ]
-      }
-     ],
-     "prompt_number": 32
-    }
-   ],
-   "metadata": {}
-  }
- ]
-}
\ No newline at end of file
diff --git a/doc/source/index.rst b/doc/source/index.rst
index fb3fca628..6d59405b1 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -22,7 +22,7 @@ Contents:
 
    install
    getting_started
-   tutorial/LArray_intro.rst
+   tutorial
    api
 
 Indices and tables
diff --git a/doc/source/tutorial/LArray_intro.rst b/doc/source/tutorial.rst
similarity index 100%
rename from doc/source/tutorial/LArray_intro.rst
rename to doc/source/tutorial.rst

From bbef8f7b41d508faf5a0d70e43846233801b897b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 5 Sep 2017 16:07:13 +0200
Subject: [PATCH 734/899] implemented depth in compare to be able to fix #61

---
 larray/core/array.py      | 16 +++++++++-------
 larray/viewer/__init__.py | 13 ++++++++++---
 pypi.bat                  |  2 +-
 3 files changed, 20 insertions(+), 11 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index fb8c5b19f..0a2a37f2c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2910,22 +2910,24 @@ def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False, commut
             res = func(op, axes, keepaxes=keepaxes, out=out, **extra_kwargs)
         return res
 
+    # op=sum does not parse correctly
     def with_total(self, *args, **kwargs):
-        """
+        """with_total(*args, op='sum', label='total', **kwargs)
+
         Add aggregated values (sum by default) along each axis.
         A user defined label can be given to specified the computed values.
 
         Parameters
         ----------
         *args : int or str or Axis or Group or any combination of those, optional
-            Axes or groups along which to compute the aggregates. Passed groups should be named. 
+            Axes or groups along which to compute the aggregates. Passed groups should be named.
             Defaults to aggregate over the whole array.
-        op : aggregate function, optional 
-            Defaults to `sum()`.
-        label : scalar value, optional 
-            label to use for the total. Applies only to aggregated axes, not groups. Defaults to "total".
+        op : aggregate function, optional
+            Defaults to `sum`.
+        label : scalar value, optional
+            Label to use for the total. Applies only to aggregated axes, not groups. Defaults to "total".
         **kwargs : int or str or Group or any combination of those, optional
-            Axes or groups along which to compute the aggregates. 
+            Axes or groups along which to compute the aggregates.
 
         Returns
         -------
diff --git a/larray/viewer/__init__.py b/larray/viewer/__init__.py
index ff4e38508..4156f4b1f 100644
--- a/larray/viewer/__init__.py
+++ b/larray/viewer/__init__.py
@@ -29,10 +29,11 @@ def view(obj=None, title='', depth=0):
     """
     try:
         from larray_editor import view
-        view(obj, title, depth)
+        view(obj, title, depth + 1)
     except ImportError:
         raise Exception('view() is not available because the larray_editor package is not installed')
 
+
 def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth=0):
     """
     Opens a new editor window.
@@ -68,10 +69,12 @@ def edit(obj=None, title='', minvalue=None, maxvalue=None, readonly=False, depth
     """
     try:
         from larray_editor import edit
-        edit(obj, title, minvalue, maxvalue, readonly, depth)
+
+        edit(obj, title, minvalue, maxvalue, readonly, depth + 1)
     except ImportError:
         raise Exception('edit() is not available because the larray_editor package is not installed')
 
+
 def compare(*args, **kwargs):
     """
     Opens a new comparator window, comparing arrays or sessions.
@@ -85,6 +88,8 @@ def compare(*args, **kwargs):
     names : list of str, optional
         Names for arrays or sessions being compared. Defaults to the name of the first objects found in the caller
         namespace which correspond to the passed objects.
+    depth : int, optional
+        Stack depth where to look for variables. Defaults to 0 (where this function was called).
 
     Examples
     --------
@@ -95,6 +100,8 @@ def compare(*args, **kwargs):
     """
     try:
         from larray_editor import compare
-        compare(*args, **kwargs)
+
+        depth = kwargs.pop('depth', 0)
+        compare(*args, depth=depth + 1, **kwargs)
     except ImportError:
         raise Exception('compare() is not available because the larray_editor package is not installed')
diff --git a/pypi.bat b/pypi.bat
index 6dc8b3356..6379b33e1 100644
--- a/pypi.bat
+++ b/pypi.bat
@@ -1 +1 @@
-python setup.py register sdist bdist_wheel --universal upload -r pypi
\ No newline at end of file
+python setup.py clean register sdist bdist_wheel --universal upload -r pypi
\ No newline at end of file

From a3235d7d3fdfd56425d0dfae3a00334df59ac9ee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 6 Sep 2017 14:35:53 +0200
Subject: [PATCH 735/899] Excel Workbooks opened with open_excel(visible=False)
 will use the global Excel instance by default and those using   visible=True
 will use a new Excel instance by default (closes #405).

also adds changelog for all editor issues and a sphinx role for those
---
 doc/source/changes/version_0_25_2.rst.inc | 23 +++++++++++++++++++++++
 doc/source/conf.py                        |  6 ++++--
 larray/io/excel.py                        | 23 +++++++++++------------
 3 files changed, 38 insertions(+), 14 deletions(-)
 create mode 100644 doc/source/changes/version_0_25_2.rst.inc

diff --git a/doc/source/changes/version_0_25_2.rst.inc b/doc/source/changes/version_0_25_2.rst.inc
new file mode 100644
index 000000000..590fde4c3
--- /dev/null
+++ b/doc/source/changes/version_0_25_2.rst.inc
@@ -0,0 +1,23 @@
+Miscellaneous improvements
+--------------------------
+
+* Excel Workbooks opened with open_excel(visible=False) will use the global Excel instance by default and those using
+  visible=True will use a new Excel instance by default (closes :issue:`405`).
+
+
+Fixes
+-----
+
+* fixed view() which did not show any array (closes :editor_issue:`57`).
+
+* fixed exceptions in the viewer crashing it when a Qt app was created (e.g. from a plot) before the viewer was started
+  (closes :editor_issue:`58`).
+
+* fixed compare() arrays names not being determined correctly (closes :editor_issue:`61`).
+
+* fixed filters and title not being updated when displaying array created via the console (closes :editor_issue:`55`).
+
+* fixed array grid not being updated when selecting a variable when no variable was selected
+  (closes :editor_issue:`56`).
+
+* fixed digits not being automatically updated when changing filters.
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 42e7bac46..350f00ad6 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -46,8 +46,10 @@
     'IPython.sphinxext.ipython_console_highlighting'
 ]
 
-extlinks = {'issue': ('https://github.com/liam2/larray/issues/%s',
-                      'issue ')}
+extlinks = {
+    'issue': ('https://github.com/liam2/larray/issues/%s', 'issue '),
+    'editor_issue': ('https://github.com/larray-project/larray-editor/issues/%s', 'issue ')
+}
 
 # scan all found documents for autosummary directives, and to generate stub pages for each.
 # The new files will be placed in the directories specified in the :toctree: options of the directives.
diff --git a/larray/io/excel.py b/larray/io/excel.py
index d091e4907..56354dc95 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -91,19 +91,10 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     xw_wkb = xw.Book(filepath)
                     app = xw_wkb.app
 
-            if app is None:
-                if filepath is None:
-                    app = "new"
-                elif filepath == -1:
-                    app = "active"
-                else:
-                    app = "global"
-
             # active workbook use active app by default
-            if filepath == -1:
-                if app != "active":
-                    raise ValueError("to connect to the active workbook, one must use the 'active' Excel instance "
-                                     "(app='active' or app=None)")
+            if filepath == -1 and app not in {None, "active"}:
+                raise ValueError("to connect to the active workbook, one must use the 'active' Excel instance "
+                                 "(app='active' or app=None)")
 
             # unless explicitly set, app is set to visible for brand new or
             # active book. For unsaved_book it is left intact.
@@ -114,6 +105,14 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                     # filepath is not None but we don't target an unsaved book
                     visible = False
 
+            if app is None:
+                if filepath == -1:
+                    app = "active"
+                elif visible:
+                    app = "new"
+                else:
+                    app = "global"
+
             if app == "new":
                 app = xw.App(visible=visible, add_book=False)
             elif app == "active":

From 15717a02bed4847815e7b01b06a3d6cdfb5b0f31 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 6 Sep 2017 14:53:44 +0200
Subject: [PATCH 736/899] prepare for 0.25.2 release

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/changes.rst       | 8 ++++++++
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 4 files changed, 12 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index f20c9a698..50a15e76b 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.25.1
+  version: 0.25.2
 
 source:
-  git_tag: 0.25.1
+  git_tag: 0.25.2
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5446ded6d..be1b6ab05 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.25.2
+==============
+
+Released on 2017-09-06.
+
+.. include:: ./changes/version_0_25_2.rst.inc
+
+
 Version 0.25.1
 ==============
 
diff --git a/larray/__init__.py b/larray/__init__.py
index fa3f139da..ffd15ce48 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.25.1"
+__version__ = "0.25.2"
diff --git a/setup.py b/setup.py
index 21f2ae3b9..c662bb2d7 100644
--- a/setup.py
+++ b/setup.py
@@ -8,7 +8,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.25.1'
+VERSION = '0.25.2'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 17db9a373d5c3c8d9b1274ba64f4a3b8224d78fb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 6 Sep 2017 16:37:31 +0200
Subject: [PATCH 737/899] fixed copying or plotting multiple rows in the editor
 when they were selected via drag and drop on headers (closes #59)

---
 doc/source/changes/version_0_25_2.rst.inc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes/version_0_25_2.rst.inc b/doc/source/changes/version_0_25_2.rst.inc
index 590fde4c3..88f420800 100644
--- a/doc/source/changes/version_0_25_2.rst.inc
+++ b/doc/source/changes/version_0_25_2.rst.inc
@@ -20,4 +20,7 @@ Fixes
 * fixed array grid not being updated when selecting a variable when no variable was selected
   (closes :editor_issue:`56`).
 
+* fixed copying or plotting multiple rows in the editor when they were selected via drag and drop on headers
+  (closes :editor_issue:`59`).
+
 * fixed digits not being automatically updated when changing filters.

From d03553b77cd7bc70ec6bbea62c991116ea6c4cb4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 8 Sep 2017 15:05:23 +0200
Subject: [PATCH 738/899] implemented global_arrays

---
 doc/source/changes/version_0_26.rst.inc | 19 +++++++++++++++++++
 larray/core/session.py                  | 19 +++++++++++++++++++
 2 files changed, 38 insertions(+)
 create mode 100644 doc/source/changes/version_0_26.rst.inc

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
new file mode 100644
index 000000000..5c68e4d7b
--- /dev/null
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -0,0 +1,19 @@
+New features
+------------
+
+* added global_arrays() function which returns a Session containing all arrays defined in global variables. This
+  complements the local_arrays() function. When used outside of a function, these two functions should have the same
+  results, but inside a function local_arrays will return only arrays local to the function, while global_arrays will
+  return only arrays defined globally.
+
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
diff --git a/larray/core/session.py b/larray/core/session.py
index 463d8d023..d0fd4f217 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -934,4 +934,23 @@ def local_arrays(depth=0):
     return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
 
 
+def global_arrays(depth=0):
+    """
+    Returns a session containing all global arrays (sorted in alphabetical order).
+
+    Parameters
+    ----------
+    depth: int
+        depth of call frame to inspect. 0 is where global_arrays was called,
+        1 the caller of global_arrays, etc.
+
+    Returns
+    -------
+    Session
+    """
+    # noinspection PyProtectedMember
+    d = sys._getframe(depth + 1).f_globals
+    return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
+
+
 _session_float_error_handler = float_error_handler_factory(4)

From a65768c681614f0a55c728587c14be54ffe39acd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 8 Sep 2017 15:09:09 +0200
Subject: [PATCH 739/899] changelog for editor issue 54

---
 doc/source/changes/version_0_26.rst.inc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 5c68e4d7b..e5a17e3b4 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -10,7 +10,7 @@
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
 
 Fixes

From b710d581de1629c04b94d40a7b730872e5aabf7e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 4 Sep 2017 17:13:42 +0200
Subject: [PATCH 740/899] fixed #384 : implement reindex using an array of
 labels

fixed #386 : implement reindex using a differently named axis for labels
---
 doc/source/changes/version_0_26.rst.inc | 25 +++++++++++++++++++++++++
 larray/core/array.py                    |  8 +++++---
 larray/tests/test_array.py              | 15 +++++++++++++++
 3 files changed, 45 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index e5a17e3b4..413f073a7 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -12,6 +12,31 @@ Miscellaneous improvements
 
 * view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
+* allowed to pass an array of labels as `new_axis` argument to `reindex` method (closes :issue:`384`):
+
+    >>> arr = ndrange('a=v0..v1;b=v0..v2')
+    >>> arr
+    a\b  v0  v1  v2
+     v0   0   1   2
+     v1   3   4   5
+    >>> arr.reindex('a', arr.b.labels)
+    a\b   v0   v1   v2
+     v0    0    1    2
+     v1    3    4    5
+     v2  nan  nan  nan
+
+* allowed to call the `reindex` method using a differently named axis for labels (closes :issue:`386`):
+
+    >>> arr = ndrange('a=v0..v1;b=v0..v2')
+    >>> arr
+    a\b  v0  v1  v2
+     v0   0   1   2
+     v1   3   4   5
+    >>> arr.reindex('a', arr.b)
+    a\b   v0   v1   v2
+     v0    0    1    2
+     v1    3    4    5
+     v2  nan  nan  nan
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 0a2a37f2c..f50e08fb3 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1342,7 +1342,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
             Axes to reindex. If a single axis reference is given, the `new_axis` argument must be provided.
             If a list of Axis or an AxisCollection is given, all axes will be reindexed by the new ones.
             In that case, the number of new axes must match the number of the old ones.
-        new_axis : int, str, list/tuple of str or Axis, optional
+        new_axis : int, str, list/tuple/array of str or Axis, optional
             List of new labels or new axis if `axes_to_replace` contains a single axis reference.
         fill_value : scalar or LArray, optional
             Value set to data corresponding to added labels. Defaults to NaN.
@@ -1398,7 +1398,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
 
         Reindex using axes from another array
 
-        >>> arr2 = ndrange('a=a0..a1;c=c0..c0;b=b0..b2')
+        >>> arr2 = ndrange('a=a0,a1;c=c0..c0;b=b0..b2')
         >>> arr2
          a  c\\b  b0  b1  b2
         a0   c0   0   1   2
@@ -1417,8 +1417,10 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         a1   c0  3.0  4.0
         """
         # XXX: can't we move this to AxisCollection.replace?
-        if isinstance(new_axis, (int, basestring, list, tuple)):
+        if isinstance(new_axis, (int, basestring, list, tuple, np.ndarray)):
             new_axis = Axis(new_axis, self.axes[axes_to_reindex].name)
+        if isinstance(new_axis, Axis):
+            new_axis = new_axis.rename(self.axes[axes_to_reindex].name)
         if isinstance(axes_to_reindex, AxisCollection):
             assert new_axis is None
             # add extra axes if needed
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 4ee5c703d..fe3556d03 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2382,6 +2382,21 @@ def test_reindex(self):
                                                  a0   1   0   0
                                                  a1   3   1   2"""))
 
+        # using labels from another array
+        arr = ndrange('a=v0..v2;b=v0,v2,v1,v3')
+        res = arr.reindex('a', arr.b.labels, fill_value=-1)
+        assert_array_equal(res, from_string("""a\\b  v0  v2  v1  v3
+                                                 v0   0   1   2   3
+                                                 v2   8   9  10  11
+                                                 v1   4   5   6   7
+                                                 v3  -1  -1  -1  -1"""))
+        res = arr.reindex('a', arr.b, fill_value=-1)
+        assert_array_equal(res, from_string("""a\\b  v0  v2  v1  v3
+                                                 v0   0   1   2   3
+                                                 v2   8   9  10  11
+                                                 v1   4   5   6   7
+                                                 v3  -1  -1  -1  -1"""))
+
     def test_append(self):
         la = self.small
         sex, lipro = la.axes

From 90f2ef79f1eebdf42014180e3df9f7399f5dc629 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 31 Aug 2017 12:49:34 +0200
Subject: [PATCH 741/899] read_excel raises NotImplementedError for arguments
 na, sort_rows and sort_columns if engine=xlwings (liked to issue 393)

---
 doc/source/changes/version_0_25_1.rst.inc | 3 +++
 larray/io/array.py                        | 9 +++++++++
 2 files changed, 12 insertions(+)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index b0d9b3e4a..2488f5bd8 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -9,6 +9,9 @@ Miscellaneous improvements
 * trying to set values of a subset by passing an array with incompatible axes displays a better error message
   (closes :issue:`268`).
 
+* `read_excel` displays an error message when arguments `na`, `sort_rows` or `sort_columns` are used
+  with `xlwings` engine
+
 Fixes
 -----
 
diff --git a/larray/io/array.py b/larray/io/array.py
index 6d7e774a8..84f2b3ac9 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -324,6 +324,15 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         if kwargs:
             raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
                             .format(list(kwargs.keys())[0]))
+        if not np.isnan(na):
+            raise NotImplementedError("na argument is not currently supported with the (default) "
+                                      "xlwings engine")
+        if sort_rows:
+            raise NotImplementedError("sort_rows argument is not currently supported with the (default) "
+                                      "xlwings engine")
+        if sort_columns:
+            raise NotImplementedError("sort_columns argument is not currently supported with the (default) "
+                                      "xlwings engine")
         from larray.io.excel import open_excel
         with open_excel(filepath) as wb:
             return wb[sheetname].load(index_col=index_col)

From c0eaff4676bff183dc138df6185fac4f5caf33e1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 31 Aug 2017 14:12:28 +0200
Subject: [PATCH 742/899] fix #394 : replaced na argument by fill_value in all
 read_XX functions + updated corresponding description

---
 doc/source/changes/version_0_25_1.rst.inc |  3 --
 doc/source/changes/version_0_26.rst.inc   |  6 +++
 larray/core/array.py                      |  6 ++-
 larray/io/array.py                        | 64 +++++++++++++++++------
 4 files changed, 58 insertions(+), 21 deletions(-)

diff --git a/doc/source/changes/version_0_25_1.rst.inc b/doc/source/changes/version_0_25_1.rst.inc
index 2488f5bd8..b0d9b3e4a 100644
--- a/doc/source/changes/version_0_25_1.rst.inc
+++ b/doc/source/changes/version_0_25_1.rst.inc
@@ -9,9 +9,6 @@ Miscellaneous improvements
 * trying to set values of a subset by passing an array with incompatible axes displays a better error message
   (closes :issue:`268`).
 
-* `read_excel` displays an error message when arguments `na`, `sort_rows` or `sort_columns` are used
-  with `xlwings` engine
-
 Fixes
 -----
 
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 413f073a7..e3bc09118 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -38,6 +38,12 @@ Miscellaneous improvements
      v1    3    4    5
      v2  nan  nan  nan
 
+* `read_excel` displays an error message when arguments `na`, `sort_rows` or `sort_columns` are used
+  with the default `xlwings` engine
+
+* replaced `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions by `fill_value`
+  (closes :issue:`394`)
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index f50e08fb3..25aea9cd6 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1345,7 +1345,8 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         new_axis : int, str, list/tuple/array of str or Axis, optional
             List of new labels or new axis if `axes_to_replace` contains a single axis reference.
         fill_value : scalar or LArray, optional
-            Value set to data corresponding to added labels. Defaults to NaN.
+            Value used to fill cells corresponding to label combinations which were not present before reindexing.
+            Defaults to NaN.
         inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
             Defaults to False.
@@ -1460,7 +1461,8 @@ def align(self, other, join='outer', fill_value=nan, axes=None):
               - left: will use the first array axis labels
               - right: will use the other array axis labels.
         fill_value : scalar or LArray, optional
-            Value to use for missing values. Defaults to NaN.
+            Value used to fill cells corresponding to label combinations which are not common to both arrays.
+            Defaults to NaN.
         axes : AxisReference or sequence of them, optional
             Axes to align. Need to be valid in both arrays. Defaults to None (all common axes). This must be specified
             when mixing anonymous and non-anonymous axes.
diff --git a/larray/io/array.py b/larray/io/array.py
index 84f2b3ac9..eaebdf464 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -4,6 +4,7 @@
 import numpy as np
 import pandas as pd
 from itertools import product
+import warnings
 
 from larray.core.axis import Axis
 from larray.core.array import LArray
@@ -128,8 +129,8 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
     return LArray(data, axes)
 
 
-def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, na=np.nan,
-             sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
+def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, fill_value=np.nan,
+             na=np.nan, sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
     """
     Reads csv file and returns an array with the contents.
 
@@ -155,8 +156,9 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
         Separator.
     headersep : str or None, optional
         Separator for headers.
-    na : scalar, optional
-        Value for NaN (Not A Number). Defaults to NumPy NaN.
+    fill_value : scalar or LArray, optional
+        Value used to fill cells corresponding to label combinations which are not present in the input.
+        Defaults to NaN.
     sort_rows : bool, optional
         Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
     sort_columns : bool, optional
@@ -193,6 +195,11 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
          BE  0  1
          FO  2  3
     """
+    if not np.isnan(na):
+        fill_value = na
+        warnings.warn("read_csv `na` argument has been renamed to `fill_value`. Please use that instead.",
+                      FutureWarning, stacklevel=2)
+
     if dialect == 'liam2':
         # read axes names. This needs to be done separately instead of reading the whole file with Pandas then
         # manipulating the dataframe because the header line must be ignored for the column types to be inferred
@@ -236,7 +243,7 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
         df.index.names = combined_axes_names.split(headersep)
         raw = False
 
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, raw=raw)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, raw=raw)
 
 
 def read_tsv(filepath_or_buffer, **kwargs):
@@ -262,7 +269,7 @@ def read_eurostat(filepath_or_buffer, **kwargs):
     return read_csv(filepath_or_buffer, sep='\t', headersep=',', **kwargs)
 
 
-def read_hdf(filepath_or_buffer, key, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
     """Reads an array named key from a HDF5 file in filepath (path+name)
 
     Parameters
@@ -271,17 +278,29 @@ def read_hdf(filepath_or_buffer, key, na=np.nan, sort_rows=False, sort_columns=F
         Path and name where the HDF5 file is stored or a HDFStore object.
     key : str
         Name of the array.
+    fill_value : scalar or LArray, optional
+        Value used to fill cells corresponding to label combinations which are not present in the input.
+        Defaults to NaN.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
 
     Returns
     -------
     LArray
     """
+    if not np.isnan(na):
+        fill_value = na
+        warnings.warn("read_hdf `na` argument has been renamed to `fill_value`. Please use that instead.",
+                      FutureWarning, stacklevel=2)
     df = pd.read_hdf(filepath_or_buffer, key, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na, parse_header=False)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, parse_header=False)
 
 
-def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False,
-               engine=None, **kwargs):
+def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan,
+               sort_rows=False, sort_columns=False, engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
 
@@ -297,8 +316,9 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
     index_col : list, optional
         List of columns for the index (ex. [0, 1, 2, 3]).
         Default to [0].
-    na : scalar, optional
-        Value for NaN (Not A Number). Defaults to NumPy NaN.
+    fill_value : scalar or LArray, optional
+        Value used to fill cells corresponding to label combinations which are not present in the input.
+        Defaults to NaN.
     sort_rows : bool, optional
         Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
@@ -310,6 +330,11 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         installed and relies on Pandas default reader otherwise.
     **kwargs
     """
+    if not np.isnan(na):
+        fill_value = na
+        warnings.warn("read_excel `na` argument has been renamed to `fill_value`. Please use that instead.",
+                      FutureWarning, stacklevel=2)
+
     if engine is None:
         engine = 'xlwings' if xw is not None else None
 
@@ -324,8 +349,8 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
         if kwargs:
             raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
                             .format(list(kwargs.keys())[0]))
-        if not np.isnan(na):
-            raise NotImplementedError("na argument is not currently supported with the (default) "
+        if not np.isnan(fill_value):
+            raise NotImplementedError("fill_value argument is not currently supported with the (default) "
                                       "xlwings engine")
         if sort_rows:
             raise NotImplementedError("sort_rows argument is not currently supported with the (default) "
@@ -338,16 +363,23 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, na=np.nan,
             return wb[sheetname].load(index_col=index_col)
     else:
         df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
-        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None, fill_value=na)
+        return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None,
+                           fill_value=fill_value)
 
 
-def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False, sort_columns=False, **kwargs):
+def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan,
+             sort_rows=False, sort_columns=False, **kwargs):
     """
     Reads sas file and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
     or
         index_col: list of columns for the index (e.g. [0, 1, 3])
     """
+    if not np.isnan(na):
+        fill_value = na
+        warnings.warn("read_sas `na` argument has been renamed to `fill_value`. Please use that instead.",
+                      FutureWarning, stacklevel=2)
+        
     if nb_index is not None and index_col is not None:
         raise ValueError("cannot specify both nb_index and index_col")
     elif nb_index is not None:
@@ -356,7 +388,7 @@ def read_sas(filepath, nb_index=None, index_col=None, na=np.nan, sort_rows=False
         index_col = [index_col]
 
     df = pd.read_sas(filepath, index=index_col, **kwargs)
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=na)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value)
 
 
 def from_lists(data, nb_index=None, index_col=None):

From 90f42960c89b6bd9872e371bb777248e0967017b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 11 Sep 2017 17:02:40 +0200
Subject: [PATCH 743/899] rewrap all code to 120 chars (closes #94)

---
 larray/core/abc.py         |   5 +-
 larray/core/array.py       | 932 ++++++++++++++-----------------------
 larray/core/axis.py        | 304 +++++-------
 larray/core/group.py       | 129 ++---
 larray/core/session.py     |  38 +-
 larray/core/ufuncs.py      |  19 +-
 larray/example.py          |   8 +-
 larray/extra/ipfp.py       |  46 +-
 larray/io/array.py         |  17 +-
 larray/io/excel.py         |  81 ++--
 larray/io/session.py       |  10 +-
 larray/tests/common.py     |  22 +-
 larray/tests/test_array.py | 317 +++++--------
 larray/tests/test_group.py |  15 +-
 larray/util/misc.py        |  62 +--
 make_release.py            |  57 +--
 setup.py                   |   1 +
 17 files changed, 796 insertions(+), 1267 deletions(-)

diff --git a/larray/core/abc.py b/larray/core/abc.py
index a00f6a2b6..0546bb6a6 100644
--- a/larray/core/abc.py
+++ b/larray/core/abc.py
@@ -2,13 +2,16 @@
 
 from abc import ABCMeta
 
+
 # define abstract base classes to enable isinstance type checking on our objects
 # idea taken from https://github.com/pandas-dev/pandas/blob/master/pandas/core/dtypes/generic.py
 class ABCAxis(object):
     __metaclass__ = ABCMeta
 
+
 class ABCAxisReference(ABCAxis):
     __metaclass__ = ABCMeta
 
+
 class ABCLArray(object):
-    __metaclass__ = ABCMeta
\ No newline at end of file
+    __metaclass__ = ABCMeta
diff --git a/larray/core/array.py b/larray/core/array.py
index 25aea9cd6..1d68853ad 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2,11 +2,10 @@
 from __future__ import absolute_import, division, print_function
 
 __all__ = [
-    'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like',
-    'full', 'full_like', 'sequence', 'create_sequential', 'ndrange', 'labels_array',
-    'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal', 'larray_nan_equal',
-    'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean',
-    'ptp', 'var', 'std', 'median', 'percentile', 'stack', 'nan'
+    'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like', 'full', 'full_like', 'sequence',
+    'create_sequential', 'ndrange', 'labels_array', 'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal',
+    'larray_nan_equal', 'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean', 'ptp', 'var', 'std',
+    'median', 'percentile', 'stack', 'nan'
 ]
 
 """
@@ -48,8 +47,6 @@
 
 # * add labels in LGroups.__str__
 
-# * docstring for all methods
-
 # * IO functions: csv/hdf/excel?/...?
 #   >> needs discussion of the formats (users involved in the discussion?)
 #      + check pandas dialects
@@ -146,8 +143,8 @@ def sum(array, *args, **kwargs):
     --------
     LArray.sum
     """
-    # XXX: we might want to be more aggressive here (more types to convert),
-    #      however, generators should still be computed via the builtin.
+    # XXX: we might want to be more aggressive here (more types to convert), however, generators should still be
+    #      computed via the builtin.
     if isinstance(array, (np.ndarray, list)):
         array = LArray(array)
     if isinstance(array, LArray):
@@ -297,8 +294,7 @@ def common_type(arrays):
 
     Notes
     -----
-    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object'
-    as common type.
+    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object' as common type.
     """
     arrays = [np.asarray(a) for a in arrays]
     dtypes = [a.dtype for a in arrays]
@@ -319,25 +315,22 @@ def common_type(arrays):
 
 
 def concat_empty(axis, arrays_axes, dtype):
-    # Get axis by name, so that we do *NOT* check they are "compatible",
-    # because it makes sense to append axes of different length
+    # Get axis by name, so that we do *NOT* check they are "compatible", because it makes sense to append axes of
+    # different length
     arrays_axis = [axes[axis] for axes in arrays_axes]
     arrays_labels = [axis.labels for axis in arrays_axis]
 
-    # switch to object dtype if labels are of incompatible types, so that
-    # we do not implicitly convert numeric types to strings (numpy should not
-    # do this in the first place but that is another story). This can happen for
-    # example when we want to add a "total" tick to a numeric axis (eg age).
+    # switch to object dtype if labels are of incompatible types, so that we do not implicitly convert numeric types to
+    # strings (numpy should not do this in the first place but that is another story). This can happen for example when
+    # we want to add a "total" tick to a numeric axis (eg age).
     labels_type = common_type(arrays_labels)
     if labels_type is object:
         # astype always copies, while asarray only copies if necessary
-        arrays_labels = [np.asarray(labels, dtype=object)
-                         for labels in arrays_labels]
+        arrays_labels = [np.asarray(labels, dtype=object) for labels in arrays_labels]
     new_labels = np.concatenate(arrays_labels)
     combined_axis = Axis(new_labels, arrays_axis[0].name)
 
-    new_axes = [axes.replace(axis, combined_axis)
-                for axes, axis in zip(arrays_axes, arrays_axis)]
+    new_axes = [axes.replace(axis, combined_axis) for axes, axis in zip(arrays_axes, arrays_axis)]
 
     # combine all axes (using labels from any side if any)
     result_axes = AxisCollection.union(*new_axes)
@@ -347,9 +340,8 @@ def concat_empty(axis, arrays_axes, dtype):
     cumlen = np.cumsum(lengths)
     start_bounds = np.concatenate(([0], cumlen[:-1]))
     stop_bounds = cumlen
-    # XXX: wouldn't it be nice to be able to say that? ie translation
-    # from position to label on the original axis then translation to
-    # position on the actual result axis?
+    # XXX: wouldn't it be nice to be able to say that? ie translation from position to label on the original axis then
+    # translation to position on the actual result axis?
     # result[:axis.i[-1]]
     return result, [result[combined_axis.i[start:stop]]
                     for start, stop in zip(start_bounds, stop_bounds)]
@@ -387,8 +379,7 @@ def _translate_key(self, key):
         if not isinstance(key, tuple):
             key = (key,)
         if len(key) > self.array.ndim:
-            raise IndexError("key has too many indices (%d) for array with %d "
-                             "dimensions" % (len(key), self.array.ndim))
+            raise IndexError("key has too many indices (%d) for array with %d dimensions" % (len(key), self.array.ndim))
         # no need to create a full nd key as that will be done later anyway
         return tuple(axis.i[axis_key]
                      for axis_key, axis in zip(key, self.array.axes))
@@ -408,8 +399,7 @@ def __init__(self, array):
         self.array = array
 
     def __getitem__(self, key):
-        # TODO: this should generate an "intersection"/points NDGroup and simply
-        #       do return self.array[nd_group]
+        # TODO: this should generate an "intersection"/points NDGroup and simply do return self.array[nd_group]
         data = np.asarray(self.array)
         translated_key = self.array._translated_key(key, bool_stuff=True)
 
@@ -461,17 +451,15 @@ def get_axis(obj, i):
     Parameters
     ----------
     obj : LArray or other array
-        Input LArray or any array object which has a shape attribute
-        (NumPy or Pandas array).
+        Input LArray or any array object which has a shape attribute (NumPy or Pandas array).
     i : int
         Position of the axis.
 
     Returns
     -------
     Axis
-        Axis corresponding to the given position if input `obj` is a LArray.
-        A new anonymous Axis with the length of the ith dimension of
-        the input `obj` otherwise.
+        Axis corresponding to the given position if input `obj` is a LArray. A new anonymous Axis with the length of
+        the ith dimension of the input `obj` otherwise.
 
     Examples
     --------
@@ -503,20 +491,17 @@ def get_axis(obj, i):
             The data type of the returned array. Defaults to None (the dtype of the input array)."""},
     'out': {'value': None, 'doc': """
         out : LArray, optional
-            Alternate output array in which to place the result.
-            It must have the same shape as the expected output and
-            its type is preserved (e.g., if dtype(out) is float, the
-            result will consist of 0.0’s and 1.0’s).
+            Alternate output array in which to place the result. It must have the same shape as the expected output and
+            its type is preserved (e.g., if dtype(out) is float, the result will consist of 0.0’s and 1.0’s).
             Axes and labels can be different, only the shape matters. Defaults to None (create a new array)."""},
     'ddof': {'value': 1, 'doc': """
         ddof : int, optional
-            "Delta Degrees of Freedom": the divisor used in the
-            calculation is ``N - ddof``, where ``N`` represents
+            "Delta Degrees of Freedom": the divisor used in the calculation is ``N - ddof``, where ``N`` represents
             the number of elements. Defaults to 1."""},
     'skipna': {'value': None, 'doc': """
         skipna : bool, optional
-            Whether or not to skip NaN (null) values. If False, resulting cells will be NaN if any of the
-            aggregated cells is NaN. Defaults to True."""},
+            Whether or not to skip NaN (null) values. If False, resulting cells will be NaN if any of the aggregated
+            cells is NaN. Defaults to True."""},
     'keepaxes': {'value': False, 'doc': """
         keepaxes : bool, optional
             Whether or not reduced axes are left in the result as dimensions with size one. Defaults to False."""
@@ -558,37 +543,30 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='perform', extra_a
     doc_varargs = """
         \*axes_and_groups : None or int or str or Axis or Group or any combination of those
             {specific}
-            The default (no axis or group) is to {action_verb} the {long_name} over 
-            all the dimensions of the input array.
+            The default (no axis or group) is to {action_verb} the {long_name} over all the dimensions of the input
+            array.
 
             An axis can be referred by:
 
-            * its position (integer). Position can be a negative integer,
-              in which case it counts from the last to the first axis.
-            * its name (str or AxisReference). You can use either a simple
-              string ('axis_name') or the special variable x (x.axis_name).
-            * a variable (Axis). If the axis has been defined previously
-              and assigned to a variable, you can pass it as argument.
-
-            You may not want to {action_verb} the {long_name} over a whole axis but
-            over a selection of specific labels. To do so, you have several
-            possibilities:
-
-            * (['a1', 'a3', 'a5'], 'b1, b3, b5') :
-              labels separated by commas in a list or a string
-            * ('a1:a5:2') : select labels using a slice
-              (general syntax is 'start:end:step' where is 'step' is
+            * its position (integer). Position can be a negative integer, in which case it counts from the last to the
+              first axis.
+            * its name (str or AxisReference). You can use either a simple string ('axis_name') or the special
+              variable x (x.axis_name).
+            * a variable (Axis). If the axis has been defined previously and assigned to a variable, you can pass it as
+              argument.
+
+            You may not want to {action_verb} the {long_name} over a whole axis but over a selection of specific
+            labels. To do so, you have several possibilities:
+
+            * (['a1', 'a3', 'a5'], 'b1, b3, b5') : labels separated by commas in a list or a string
+            * ('a1:a5:2') : select labels using a slice (general syntax is 'start:end:step' where is 'step' is
               optional and 1 by default).
-            * (a='a1, a2, a3', x.b['b1, b2, b3']) :
-              in case of possible ambiguity, i.e. if labels
-              can belong to more than one axis, you must precise the axis.
-            * ('a1:a3; a5:a7', b='b0,b2; b1,b3') :
-              create several groups with semicolons.
-              Names are simply given by the concatenation of labels
-              (here: 'a1,a2,a3', 'a5,a6,a7', 'b0,b2' and 'b1,b3')
-            * ('a1:a3 >> a123', 'b[b0,b2] >> b12') :
-              operator ' >> ' allows to rename groups.""".format(specific=doc_specific, action_verb=action_verb,
-                                                                 long_name=long_name)
+            * (a='a1, a2, a3', x.b['b1, b2, b3']) : in case of possible ambiguity, i.e. if labels can belong to more
+              than one axis, you must precise the axis.
+            * ('a1:a3; a5:a7', b='b0,b2; b1,b3') : create several groups with semicolons.
+              Names are simply given by the concatenation of labels (here: 'a1,a2,a3', 'a5,a6,a7', 'b0,b2' and 'b1,b3')
+            * ('a1:a3 >> a123', 'b[b0,b2] >> b12') : operator ' >> ' allows to rename groups."""\
+        .format(specific=doc_specific, action_verb=action_verb, long_name=long_name)
     parameters = """Parameters
         ----------{args}{varargs}{kwargs}""".format(args=doc_args, varargs=doc_varargs, kwargs=doc_kwargs)
 
@@ -703,18 +681,15 @@ def isnan(a):
 
 class LArray(ABCLArray):
     """
-    A LArray object represents a multidimensional, homogeneous
-    array of fixed-size items with labeled axes.
+    A LArray object represents a multidimensional, homogeneous array of fixed-size items with labeled axes.
 
-    The function :func:`aslarray` can be used to convert a
-    NumPy array or PandaS DataFrame into a LArray.
+    The function :func:`aslarray` can be used to convert a NumPy array or PandaS DataFrame into a LArray.
 
     Parameters
     ----------
     data : scalar, tuple, list or NumPy ndarray
         Input data.
-    axes : collection (tuple, list or AxisCollection) of axes \
-    (int, str or  Axis), optional
+    axes : collection (tuple, list or AxisCollection) of axes (int, str or Axis), optional
         Axes.
     title : str, optional
         Title of array.
@@ -730,14 +705,12 @@ class LArray(ABCLArray):
 
     See Also
     --------
-    sequence : Create a LArray by sequentially
-                        applying modifications to the array along axis.
+    sequence : Create a LArray by sequentially applying modifications to the array along axis.
     ndrange : Create a LArray with increasing elements.
     zeros : Create a LArray, each element of which is zero.
     ones : Create a LArray, each element of which is 1.
     full : Create a LArray filled with a given value.
-    empty : Create a LArray, but leave its allocated memory
-            unchanged (i.e., it contains “garbage”).
+    empty : Create a LArray, but leave its allocated memory unchanged (i.e., it contains “garbage”).
 
     Examples
     --------
@@ -901,12 +874,10 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         new_axes = self.axes.replace(axes_to_replace, new_axis, **kwargs)
         if inplace:
             if new_axes.ndim != self.ndim:
-                raise ValueError("number of axes (%d) does not match "
-                                 "number of dimensions of data (%d)"
+                raise ValueError("number of axes (%d) does not match number of dimensions of data (%d)"
                                  % (new_axes.ndim, self.ndim))
             if new_axes.shape != self.data.shape:
-                raise ValueError("length of axes %s does not match "
-                                 "data shape %s" % (new_axes.shape, self.data.shape))
+                raise ValueError("length of axes %s does not match data shape %s" % (new_axes.shape, self.data.shape))
             self.axes = new_axes
             return self
         else:
@@ -1000,8 +971,7 @@ def points(self):
     @property
     def ipoints(self):
         """
-        Allows selection of arbitrary items in the array based on their
-        N-dimensional index.
+        Allows selection of arbitrary items in the array based on their N-dimensional index.
 
         Examples
         --------
@@ -1086,8 +1056,7 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
                 if self.axes[-1].name:
                     axes_names[-1] = "{}\\{}".format(tmp, self.axes[-1].name)
 
-            index = pd.MultiIndex.from_product(self.axes.labels[:-1],
-                                               names=axes_names)
+            index = pd.MultiIndex.from_product(self.axes.labels[:-1], names=axes_names)
         else:
             index = pd.Index([''])
             if fold_last_axis_name:
@@ -1126,8 +1095,7 @@ def to_series(self, dropna=False):
             b2    5.0
         dtype: float64
         """
-        index = pd.MultiIndex.from_product([axis.labels for axis in self.axes],
-                                           names=self.axes.names)
+        index = pd.MultiIndex.from_product([axis.labels for axis in self.axes], names=self.axes.names)
         series = pd.Series(np.asarray(self).reshape(self.size), index)
         if dropna:
             series.dropna(inplace=True)
@@ -1668,23 +1636,19 @@ def sort_values(self, key, reverse=False):
         """
         subset = self[key]
         if subset.ndim > 1:
-            raise NotImplementedError("sort_values key must have one "
-                                      "dimension less than array.ndim")
+            raise NotImplementedError("sort_values key must have one dimension less than array.ndim")
         assert subset.ndim == 1
         axis = subset.axes[0]
         posargsort = subset.posargsort()
 
-        # FIXME: .data shouldn't be necessary, but currently, if we do not do
-        #  it, we get
+        # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
         # PGroup(nat  EU  FO  BE
         #              1   2   0, axis='nat')
-        # which sorts the *data* correctly, but the labels on the nat axis are
-        # not sorted (because the __getitem__ in that case reuse the key
-        # axis as-is -- like it should).
-        # Both use cases have value, but I think reordering the ticks
-        # should be the default. Now, I am unsure where to change this.
-        # Probably in PGroupMaker.__getitem__, but then how do I get the
-        # "not reordering labels" behavior that I have now?
+        # which sorts the *data* correctly, but the labels on the nat axis are not sorted (because the __getitem__ in
+        # that case reuse the key axis as-is -- like it should).
+        # Both use cases have value, but I think reordering the ticks should be the default. Now, I am unsure where to
+        # change this. Probably in PGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
+        # that I have now?
         # FWIW, using .data, I get PGroup([1, 2, 0], axis='nat'), which works.
         sorter = axis.i[posargsort.data]
         res = self[sorter]
@@ -1791,8 +1755,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
             try:
                 axis_pos_key = real_axis.translate(axis_key, bool_passthrough)
             except KeyError:
-                raise ValueError("%r is not a valid label for any axis"
-                                 % axis_key)
+                raise ValueError("%r is not a valid label for any axis" % axis_key)
             return real_axis.i[axis_pos_key]
 
         # otherwise we need to guess the axis
@@ -1809,13 +1772,11 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
             except KeyError:
                 continue
         if not valid_axes:
-            raise ValueError("%s is not a valid label for any axis"
-                             % axis_key)
+            raise ValueError("%s is not a valid label for any axis" % axis_key)
         elif len(valid_axes) > 1:
             valid_axes = ', '.join(a.name if a.name is not None else '{{{}}}'.format(self.axes.index(a))
                                    for a in valid_axes)
-            raise ValueError('%s is ambiguous (valid in %s)' %
-                             (axis_key, valid_axes))
+            raise ValueError('%s is ambiguous (valid in %s)' % (axis_key, valid_axes))
         return valid_axes[0].i[axis_pos_key]
 
     def _translate_axis_key(self, axis_key, bool_passthrough=True):
@@ -1831,8 +1792,7 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
 
         if isinstance(axis_key, LArray) and np.issubdtype(axis_key.dtype, np.bool_) and bool_passthrough:
             if len(axis_key.axes) > 1:
-                raise ValueError("mixing ND boolean filters with other filters "
-                                 "in getitem is not currently supported")
+                raise ValueError("mixing ND boolean filters with other filters in getitem is not currently supported")
             else:
                 return PGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
 
@@ -1851,14 +1811,12 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
         # TODO: do it for Group without axis too
         if isinstance(axis_key, (tuple, list, np.ndarray, LArray)):
             axis = None
-            # TODO: I should actually do some benchmarks to see if this is
-            #       useful, and estimate which numbers to use
+            # TODO: I should actually do some benchmarks to see if this is useful, and estimate which numbers to use
             for size in (1, 10, 100, 1000):
                 # TODO: do not recheck already checked elements
                 key_chunk = axis_key.i[:size] if isinstance(axis_key, LArray) else axis_key[:size]
                 try:
-                    tkey = self._translate_axis_key_chunk(key_chunk,
-                                                          bool_passthrough)
+                    tkey = self._translate_axis_key_chunk(key_chunk, bool_passthrough)
                     axis = tkey.axis
                     break
                 except ValueError:
@@ -1866,15 +1824,13 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             # the (start of the) key match a single axis
             if axis is not None:
                 # make sure we have an Axis object
-                # TODO: we should make sure the tkey returned from
-                # _translate_axis_key_chunk always contains a real Axis (and
-                # thus kill this line)
+                # TODO: we should make sure the tkey returned from _translate_axis_key_chunk always contains a
+                # real Axis (and thus kill this line)
                 axis = self.axes[axis]
                 # wrap key in LGroup
                 axis_key = axis[axis_key]
                 # XXX: reuse tkey chunks and only translate the rest?
-            return self._translate_axis_key_chunk(axis_key,
-                                                  bool_passthrough)
+            return self._translate_axis_key_chunk(axis_key, bool_passthrough)
         else:
             return self._translate_axis_key_chunk(axis_key, bool_passthrough)
 
@@ -1882,8 +1838,7 @@ def _guess_axis(self, axis_key):
         if isinstance(axis_key, Group):
             group_axis = axis_key.axis
             if group_axis is not None:
-                # we have axis information but not necessarily an Axis object
-                # from self.axes
+                # we have axis information but not necessarily an Axis object from self.axes
                 real_axis = self.axes[group_axis]
                 if group_axis is not real_axis:
                     axis_key = axis_key.with_axis(real_axis)
@@ -1903,13 +1858,11 @@ def _guess_axis(self, axis_key):
             except KeyError:
                 continue
         if not valid_axes:
-            raise ValueError("%s is not a valid label for any axis"
-                             % axis_key)
+            raise ValueError("%s is not a valid label for any axis" % axis_key)
         elif len(valid_axes) > 1:
             valid_axes = ', '.join(a.name if a.name is not None else '{{{}}}'.format(self.axes.index(a))
                                    for a in valid_axes)
-            raise ValueError('%s is ambiguous (valid in %s)' %
-                             (axis_key, valid_axes))
+            raise ValueError('%s is ambiguous (valid in %s)' % (axis_key, valid_axes))
         return valid_axes[0][axis_key]
 
     # TODO: move this to AxisCollection
@@ -1919,52 +1872,42 @@ def _translated_key(self, key, bool_stuff=False):
         Parameters
         ----------
         key : single axis key or tuple of keys or dict {axis_name: axis_key}
-           Each axis key can be either a scalar, a list of scalars or
-           an LKey.
+           Each axis key can be either a scalar, a list of scalars or an LGroup.
 
         Returns
         -------
         Returns a full N dimensional positional key.
         """
 
-        if isinstance(key, np.ndarray) and np.issubdtype(key.dtype, np.bool_) \
-                and not bool_stuff:
+        if isinstance(key, np.ndarray) and np.issubdtype(key.dtype, np.bool_) and not bool_stuff:
             return key.nonzero()
-        if isinstance(key, LArray) and np.issubdtype(key.dtype, np.bool_) \
-                and not bool_stuff:
+        if isinstance(key, LArray) and np.issubdtype(key.dtype, np.bool_) and not bool_stuff:
             # if only the axes order is wrong, transpose
-            # FIXME: if the key has both missing and extra axes, it could be
-            # the correct size (or even shape, see below)
+            # FIXME: if the key has both missing and extra axes, it could be the correct size (or even shape, see below)
             if key.size == self.size and key.shape != self.shape:
                 return np.asarray(key.transpose(self.axes)).nonzero()
             # otherwise we need to transform the key to integer
             elif key.size != self.size:
                 extra_key_axes = key.axes - self.axes
                 if extra_key_axes:
-                    raise ValueError("subset key %s contains more axes than "
-                                     "array %s" % (key.axes, self.axes))
+                    raise ValueError("subset key %s contains more axes than array %s" % (key.axes, self.axes))
 
-                # do I want to allow key_axis.name to match against
-                # axis.num? does not seem like a good idea.
+                # do I want to allow key_axis.name to match against axis.num? does not seem like a good idea.
                 # but this should work
                 # >>> a = ndrange((3, 4))
                 # >>> x1, x2 = a.axes
                 # >>> a[x2 > 2]
 
-                # the current solution with hash = (labels, name) works
-                # but is slow for large axes and broken if axis labels are
-                # modified in-place, which I am unsure I want to support
-                # anyway
+                # the current solution with hash = (labels, name) works but is slow for large axes and broken if axis
+                # labels are modified in-place, which I am unsure I want to support anyway
                 self.axes.check_compatible(key.axes)
                 local_axes = [self.axes[axis] for axis in key.axes]
                 map_key = dict(zip(local_axes, np.asarray(key).nonzero()))
-                return tuple(map_key.get(axis, slice(None))
-                             for axis in self.axes)
+                return tuple(map_key.get(axis, slice(None)) for axis in self.axes)
             else:
                 # correct shape
-                # FIXME: if the key has both missing and extra axes (at the
-                # position of the missing axes), the shape could be the same
-                # while the result should not
+                # FIXME: if the key has both missing and extra axes (at the position of the missing axes), the shape
+                # could be the same while the result should not
                 return np.asarray(key).nonzero()
 
         # convert scalar keys to 1D keys
@@ -1972,17 +1915,14 @@ def _translated_key(self, key, bool_stuff=False):
             key = (key,)
 
         if isinstance(key, tuple):
-            # drop slice(None) and Ellipsis since they are meaningless because
-            # of guess_axis.
-            # XXX: we might want to raise an exception when we find Ellipses
-            # or (most) slice(None) because except for a single slice(None)
-            # a[:], I don't think there is any point.
+            # drop slice(None) and Ellipsis since they are meaningless because of guess_axis.
+            # XXX: we might want to raise an exception when we find Ellipses or (most) slice(None) because except for
+            #      a single slice(None) a[:], I don't think there is any point.
             key = [axis_key for axis_key in key
                    if not _isnoneslice(axis_key) and axis_key is not Ellipsis]
 
             # translate all keys to PGroup
-            key = [self._translate_axis_key(axis_key,
-                                            bool_passthrough=not bool_stuff)
+            key = [self._translate_axis_key(axis_key, bool_passthrough=not bool_stuff)
                    for axis_key in key]
 
             assert all(isinstance(axis_key, PGroup) for axis_key in key)
@@ -1993,8 +1933,7 @@ def _translated_key(self, key, bool_stuff=False):
             # key axes could be strings or axis references and we want real axes
             key_items = [(self.axes[k], v) for k, v in key.items()]
             # TODO: use _translate_axis_key (to translate to PGroup here too)
-            # key_items = [axis.translate(axis_key,
-            #                             bool_passthrough=not bool_stuff)
+            # key_items = [axis.translate(axis_key, bool_passthrough=not bool_stuff)
             #              for axis, axis_key in key_items]
 
         # even keys given as dict can contain duplicates (if the same axis was
@@ -2002,8 +1941,7 @@ def _translated_key(self, key, bool_stuff=False):
         dupe_axes = list(duplicates(axis for axis, axis_key in key_items))
         if dupe_axes:
             dupe_axes = ', '.join(str(axis) for axis in dupe_axes)
-            raise ValueError("key has several values for axis: %s"
-                             % dupe_axes)
+            raise ValueError("key has several values for axis: %s" % dupe_axes)
 
         key = dict(key_items)
 
@@ -2017,8 +1955,7 @@ def _translated_key(self, key, bool_stuff=False):
                      for axis, axis_key in zip(self.axes, key))
 
     # TODO: we only need axes length => move this to AxisCollection
-    # (but this backend/numpy-specific so we'll probably need to create a
-    #  subclass of it)
+    # (but this backend/numpy-specific so we'll probably need to create a subclass of it)
     def _cross_key(self, key):
         """
         Returns a key indexing the cross product.
@@ -2033,33 +1970,26 @@ def _cross_key(self, key):
             A key for indexing the cross product.
         """
 
-        # handle advanced indexing with more than one indexing array:
-        # basic indexing (only integer and slices) and advanced indexing
-        # with only one indexing array are handled fine by numpy
+        # handle advanced indexing with more than one indexing array: basic indexing (only integer and slices) and
+        # advanced indexing with only one indexing array are handled fine by numpy
         if self._needs_advanced_indexing(key):
             # np.ix_ wants only lists so:
 
-            # 1) transform scalar-key to lists of 1 element. In that case,
-            #    ndarray.__getitem__ leaves length 1 dimensions instead of
-            #    dropping them like we would like so we will need to drop
-            #    them later ourselves (via reshape)
+            # 1) transform scalar-key to lists of 1 element. In that case, ndarray.__getitem__ leaves length 1
+            #    dimensions instead of dropping them like we would like, so we will need to drop them later ourselves
+            #    (via reshape)
             noscalar_key = [[axis_key] if np.isscalar(axis_key) else axis_key
                             for axis_key in key]
 
             # 2) expand slices to lists (ranges)
             # XXX: cache the range in the axis?
             # TODO: fork np.ix_ to allow for slices directly
-            # it will be tricky to get right though because in that case the
-            # result of a[key] can have its dimensions in the wrong order
-            # (if the ix_arrays are not next to each other, the corresponding
-            # dimensions are moved to the front). It is probably worth the
-            # trouble though because it is much faster than the current
-            # solution (~5x in my simple test) but this case (num_ix_arrays >
-            # 1) is rare in the first place (at least in demo) so it is not a
-            # priority.
-            listkey = tuple(np.arange(*axis_key.indices(len(axis)))
-                            if isinstance(axis_key, slice)
-                            else axis_key
+            # it will be tricky to get right though because in that case the result of a[key] can have its dimensions in
+            # the wrong order (if the ix_arrays are not next to each other, the corresponding dimensions are moved to
+            # the front). It is probably worth the trouble though because it is much faster than the current solution
+            # (~5x in my simple test) but this case (num_ix_arrays > 1) is rare in the first place (at least in demo)
+            # so it is not a priority.
+            listkey = tuple(np.arange(*axis_key.indices(len(axis))) if isinstance(axis_key, slice) else axis_key
                             for axis_key, axis in zip(noscalar_key, self.axes))
             # np.ix_ computes the cross product of all lists
             return np.ix_(*listkey)
@@ -2079,14 +2009,12 @@ def _collapse_slices(self, key):
         # isinstance(ndarray, collections.Sequence) is False but it
         # behaves like one
         sequence = (tuple, list, np.ndarray)
-        return [_range_to_slice(axis_key, len(axis))
-                if isinstance(axis_key, sequence) else axis_key
+        return [_range_to_slice(axis_key, len(axis)) if isinstance(axis_key, sequence) else axis_key
                 for axis_key, axis in zip(key, self.axes)]
 
     def _get_axes_from_translated_key(self, translated_key, include_scalar_axis_key=False):
         if include_scalar_axis_key:
-            return [axis.subaxis(axis_key)
-                    if not np.isscalar(axis_key) else Axis(1, axis.name)
+            return [axis.subaxis(axis_key) if not np.isscalar(axis_key) else Axis(1, axis.name)
                     for axis, axis_key in zip(self.axes, translated_key)]
         else:
             return [axis.subaxis(axis_key)
@@ -2099,16 +2027,13 @@ def __getitem__(self, key, collapse_slices=False):
             key = key.evaluate(self.axes)
 
         data = np.asarray(self.data)
-        # XXX: I think I should split this into complete_key and translate_key
-        # because for LArray keys I need a complete key with axes for subaxis
-        #
+        # XXX: I think I should split this into complete_key and translate_key because for LArray keys I need a
+        #      complete key with axes for subaxis
         translated_key = self._translated_key(key)
 
         # FIXME: I have a huge problem with boolean labels + non points
-        if isinstance(key, (LArray, np.ndarray)) and \
-                np.issubdtype(key.dtype, np.bool_):
-            return LArray(data[translated_key],
-                          self._bool_key_new_axes(translated_key))
+        if isinstance(key, (LArray, np.ndarray)) and np.issubdtype(key.dtype, np.bool_):
+            return LArray(data[translated_key], self._bool_key_new_axes(translated_key))
 
         if any(isinstance(axis_key, LArray) for axis_key in translated_key):
             k2 = [k.data if isinstance(k, LArray) else k
@@ -2119,9 +2044,8 @@ def __getitem__(self, key, collapse_slices=False):
             res_axes = first_col.union(*axes[1:])
             return LArray(res_data, res_axes)
 
-        # TODO: if the original key was a list of labels,
-        # subaxis(translated_key).labels == orig_key, so we should use
-        # orig_axis_key.copy()
+        # TODO: if the original key was a list of labels, subaxis(translated_key).labels == orig_key, so we should use
+        #       orig_axis_key.copy()
         axes = self._get_axes_from_translated_key(translated_key)
 
         if collapse_slices:
@@ -2145,20 +2069,16 @@ def __setitem__(self, key, value, collapse_slices=True):
 
         # concerning keys this can make sense in several cases:
         # single bool LArray key with extra axes.
-        # tuple of bool LArray keys (eg one for each axis). each could have
-        # extra axes. Common axes between keys are not a problem, we can
-        # simply "and" them. Though we should avoid explicitly "and"ing them
-        # if there is no common axis because that is less efficient than
-        # the implicit "and" that is done by numpy __getitem__ (and the fact we
-        # need to combine dimensions when any key has more than 1 dim).
+        # tuple of bool LArray keys (eg one for each axis). each could have extra axes. Common axes between keys are
+        # not a problem, we can simply "and" them. Though we should avoid explicitly "and"ing them if there is no
+        # common axis because that is less efficient than the implicit "and" that is done by numpy __getitem__ (and
+        # the fact we need to combine dimensions when any key has more than 1 dim).
 
-        # the bool value represents whether the axis label is taken or not
-        # if any bool key (part) has more than one axis, we get combined
-        # dimensions out of it.
+        # the bool value represents whether the axis label is taken or not if any bool key (part) has more than one
+        # axis, we get combined dimensions out of it.
 
         # int LArray keys
-        # the int value represent a position along ONE particular axis,
-        # even if the key has more than one axis.
+        # the int value represent a position along ONE particular axis, even if the key has more than one axis.
         if isinstance(key, ExprNode):
             key = key.evaluate(self.axes)
 
@@ -2177,26 +2097,24 @@ def __setitem__(self, key, value, collapse_slices=True):
         cross_key = self._cross_key(translated_key)
 
         if isinstance(value, LArray):
-            # XXX: we might want to create fakes (or wildcard?) axes in this case,
-            # as we only use axes names and axes length, not the ticks, and those
-            # could theoretically take a significant time to compute
+            # XXX: we might want to create fakes (or wildcard?) axes in this case, as we only use axes names and axes
+            # length, not the ticks, and those could theoretically take a significant time to compute
             if self._needs_advanced_indexing(translated_key):
-                # when adv indexing is needed, cross_key converts scalars to lists
-                # of 1 element, which does not remove the dimension like scalars
-                # normally do
+                # when adv indexing is needed, cross_key converts scalars to lists of 1 element, which does not remove
+                # the dimension like scalars normally do
                 axes = self._get_axes_from_translated_key(translated_key, True)
             else:
                 axes = self._get_axes_from_translated_key(translated_key)
             value = value.broadcast_with(axes)
-            # replace incomprehensible error message
-            # "could not broadcast input array from shape XX into shape YY"
+
+            # replace incomprehensible error message "could not broadcast input array from shape XX into shape YY"
             # for users by "incompatible axes"
             extra_axes = [axis for axis in value.axes - axes if len(axis) > 1]
             if extra_axes:
                 extra_axes = AxisCollection(extra_axes)
                 axes = AxisCollection(axes)
                 text = 'axes are' if len(extra_axes) > 1 else 'axis is'
-                raise ValueError("Value {!s} {} not present in target subset {!s}. A value can only have the same axes "\
+                raise ValueError("Value {!s} {} not present in target subset {!s}. A value can only have the same axes "
                                  "or fewer axes than the subset being targeted".format(extra_axes, text, axes))
         else:
             # if value is a "raw" ndarray we rely on numpy broadcasting
@@ -2253,8 +2171,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         if combined_axis_pos is not None:
             if wildcard_allowed:
                 lengths = [len(axis_key) for axis_key in key
-                           if not _isnoneslice(axis_key) and
-                           not np.isscalar(axis_key)]
+                           if not _isnoneslice(axis_key) and not np.isscalar(axis_key)]
                 combined_axis_len = lengths[0]
                 assert all(l == combined_axis_len for l in lengths)
                 combined_axis = Axis(combined_axis_len, combined_name)
@@ -2267,8 +2184,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                 #    separate axes. On the numpy backend we cannot.
                 axes_labels = [axis.labels[axis_key]
                                for axis_key, axis in zip(key, self.axes)
-                               if not _isnoneslice(axis_key) and
-                                  not np.isscalar(axis_key)]
+                               if not _isnoneslice(axis_key) and not np.isscalar(axis_key)]
                 if len(combined_axes) == 1:
                     # Q: if axis is a wildcard axis, should the result be a
                     #    wildcard axis (and axes_labels discarded?)
@@ -2349,8 +2265,8 @@ def reshape(self, target_axes):
           a0     0     1     2     3
           a1     4     5     6     7
         """
-        # this is a dangerous operation, because except for adding
-        # length 1 axes (which is safe), it potentially modifies data
+        # this is a dangerous operation, because except for adding length 1 axes (which is safe), it potentially
+        # modifies data
         # TODO: add a check/flag? for "unsafe" reshapes (but allow merging
         # several axes & "splitting" axes) etc.
         # eg 4, 3, 2 -> 2, 3, 4 is wrong (even if size is respected)
@@ -2519,8 +2435,7 @@ def __str__(self):
         elif not len(self):
             return 'LArray([])'
         else:
-            return table2str(list(self.as_table(maxlines=200, edgeitems=5)),
-                             'nan', fullinfo=True, maxwidth=200,
+            return table2str(list(self.as_table(maxlines=200, edgeitems=5)), 'nan', fullinfo=True, maxwidth=200,
                              keepcols=self.ndim - 1)
     __repr__ = __str__
 
@@ -2653,16 +2568,13 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
         Parameters
         ----------
         op : function
-            An aggregate function with this signature:
-            func(a, axis=None, dtype=None, out=None, keepdims=False)
+            An aggregate function with this signature: func(a, axis=None, dtype=None, out=None, keepdims=False)
         axes : tuple of axes, optional
-            Each axis can be an Axis object, str or int
+            Each axis can be an Axis object, str or int.
         out : LArray, optional
-            Alternative output array in which to place the result.
-            It must have the same shape as the expected output
+            Alternative output array in which to place the result. It must have the same shape as the expected output.
         keepaxes : bool or scalar, optional
-            If this is set to True, the axes which are reduced are
-            left in the result as dimensions with size one.
+            If this is set to True, the axes which are reduced are left in the result as dimensions with size one.
 
         Returns
         -------
@@ -2698,26 +2610,23 @@ def _axis_aggregate(self, op, axes=(), keepaxes=False, out=None, **kwargs):
     def _cum_aggregate(self, op, axis):
         """
         op is a numpy cumulative aggregate function: func(arr, axis=0).
-        axis is an Axis object, a str or an int. Contrary to other aggregate
-        functions this only supports one axis at a time.
+        axis is an Axis object, a str or an int. Contrary to other aggregate functions this only supports one axis at a
+        time.
         """
         # TODO: accept a single group in axis, to filter & aggregate in one shot
         return LArray(op(np.asarray(self), axis=self.axes.index(axis)),
                       self.axes)
 
     # TODO: now that items is never a (k, v), it should be renamed to
-    # something else: args? (groups would be misleading because each "item"
-    # can contain several groups)
+    # something else: args? (groups would be misleading because each "item" can contain several groups)
     # TODO: experiment implementing this using ufunc.reduceat
     # http://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.ufunc.reduceat.html
-    # XXX: rename keepaxes to label=value? For group_aggregates we might
-    # want to keep the LGroup label if any
+    # XXX: rename keepaxes to label=value? For group_aggregates we might want to keep the LGroup label if any
     def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
         assert out is None
         res = self
-        # TODO: when working with several "axes" at the same times, we should
-        # not produce the intermediary result at all. It should be faster and
-        # consume a bit less memory.
+        # TODO: when working with several "axes" at the same times, we should not produce the intermediary result at
+        #       all. It should be faster and consume a bit less memory.
         for item in items:
             res_axes = res.axes[:]
             res_shape = list(res.shape)
@@ -2754,14 +2663,12 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
             group_idx = [slice(None) for _ in res_shape]
             for i, group in enumerate(groups):
                 group_idx[axis_idx] = i
-                # this is only useful for ndim == 1 because
-                # a[(0,)] (equivalent to a[0] which kills the axis)
+                # this is only useful for ndim == 1 because a[(0,)] (equivalent to a[0] which kills the axis)
                 # is different from a[[0]] (which does not kill the axis)
                 idx = tuple(group_idx)
 
-                # we need only lists of ticks, not single ticks, otherwise the
-                # dimension is discarded too early (in __getitem__ instead of in
-                # the aggregate func)
+                # we need only lists of ticks, not single ticks, otherwise the dimension is discarded too early
+                # (in __getitem__ instead of in the aggregate func)
                 if isinstance(group, PGroup) and np.isscalar(group.key):
                     group = PGroup([group.key], axis=group.axis)
                 elif isinstance(group, LGroup):
@@ -2776,9 +2683,8 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 if res_data.ndim == 1:
                     assert len(idx) == 1 and idx[0] == i
 
-                    # res_data[idx] but instead of returning a scalar (eg
-                    # np.int32), it returns a 0d array which is a view on
-                    # res_data, which can thus be used as out
+                    # res_data[idx] but instead of returning a scalar (eg np.int32), it returns a 0d array which is a
+                    # view on res_data, which can thus be used as out
                     out = res_data[i:i + 1].reshape(())
                 else:
                     out = res_data[idx]
@@ -2791,10 +2697,9 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
                 res_data = res_data[idx]
                 del res_axes[axis_idx]
             else:
-                # We do NOT modify the axis name (eg append "_agg" or "*") even
-                # though this creates a new axis that is independent from the
-                # original one because the original name is what users will
-                # want to use to access that axis (eg in .filter kwargs)
+                # We do NOT modify the axis name (eg append "_agg" or "*") even though this creates a new axis that is
+                # independent from the original one because the original name is what users will want to use to access
+                # that axis (eg in .filter kwargs)
                 res_axes[axis_idx] = Axis(groups, axis.name)
 
             if isinstance(res_data, np.ndarray):
@@ -2820,26 +2725,21 @@ def _prepare_aggregate(self, op, args, kwargs=None, commutative=False, stack_dep
             kwargs_items = kwargs.items()
         if not commutative and len(kwargs_items) > 1:
             # TODO: lift this restriction for python3.6+
-            raise ValueError("grouping aggregates on multiple axes at the same "
-                             "time using keyword arguments is not supported "
-                             "for '%s' (because it is not a commutative"
-                             "operation and keyword arguments are *not* "
-                             "ordered in Python)" % op.__name__)
-
-        # Sort kwargs by axis name so that we have consistent results
-        # between runs because otherwise rounding errors could lead to
-        # slightly different results even for commutative operations.
+            raise ValueError("grouping aggregates on multiple axes at the same time using keyword arguments is not "
+                             "supported for '%s' (because it is not a commutative operation and keyword arguments are "
+                             "*not* ordered in Python)" % op.__name__)
+
+        # Sort kwargs by axis name so that we have consistent results between runs because otherwise rounding errors
+        # could lead to slightly different results even for commutative operations.
         sorted_kwargs = sorted(kwargs_items)
 
-        # convert kwargs to LGroup so that we can only use args afterwards
-        # but still keep the axis information
+        # convert kwargs to LGroup so that we can only use args afterwards but still keep the axis information
         def standardise_kw_arg(axis_name, key, stack_depth=1):
             if isinstance(key, str):
                 key = _to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
                 # XXX +2?
-                return tuple(standardise_kw_arg(axis_name, k, stack_depth + 1)
-                             for k in key)
+                return tuple(standardise_kw_arg(axis_name, k, stack_depth + 1) for k in key)
             if isinstance(key, LGroup):
                 return key
             return self.axes[axis_name][key]
@@ -2849,26 +2749,20 @@ def to_labelgroup(key, stack_depth=1):
                 key = _to_keys(key, stack_depth + 1)
             if isinstance(key, tuple):
                 # a tuple is supposed to be several groups on the same axis
-                # TODO: it would be better to use
-                # self._translate_axis_key directly
-                # (so that we do not need to do the label -> position
-                #  translation twice) but this fails because the groups are
-                # also used as ticks on the new axis, and pgroups are not the
-                # same that LGroups in this regard (I wonder if
-                # ideally it shouldn't be the same???)
-                # groups = tuple(self._translate_axis_key(k)
-                #                for k in key)
+                # TODO: it would be better to use self._translate_axis_key directly (so that we do not need to do the
+                # label -> position translation twice) but this fails because the groups are also used as ticks on the
+                # new axis, and pgroups are not the same that LGroups in this regard (I wonder if ideally it shouldn't
+                # be the same???)
+                # groups = tuple(self._translate_axis_key(k) for k in key)
                 groups = tuple(self._guess_axis(_to_key(k, stack_depth + 1)) for k in key)
                 axis = groups[0].axis
                 if not all(g.axis.equals(axis) for g in groups[1:]):
-                    raise ValueError("group with different axes: %s"
-                                     % str(key))
+                    raise ValueError("group with different axes: %s" % str(key))
                 return groups
             if isinstance(key, (Group, int, basestring, list, slice)):
                 return self._guess_axis(key)
             else:
-                raise NotImplementedError("%s has invalid type (%s) for a "
-                                          "group aggregate key"
+                raise NotImplementedError("%s has invalid type (%s) for a group aggregate key"
                                           % (key, type(key).__name__))
 
         def standardise_arg(arg, stack_depth=1):
@@ -2877,10 +2771,8 @@ def standardise_arg(arg, stack_depth=1):
             else:
                 return to_labelgroup(arg, stack_depth + 1)
 
-        operations = [standardise_arg(a, stack_depth=stack_depth + 2)
-                      for a in args if a is not None] + \
-                     [standardise_kw_arg(k, v, stack_depth=stack_depth + 2)
-                      for k, v in sorted_kwargs]
+        operations = [standardise_arg(a, stack_depth=stack_depth + 2) for a in args if a is not None] + \
+                     [standardise_kw_arg(k, v, stack_depth=stack_depth + 2) for k, v in sorted_kwargs]
         if not operations:
             # op() without args is equal to op(all_axes)
             operations = self.axes
@@ -2907,8 +2799,7 @@ def _aggregate(self, op, args, kwargs=None, keepaxes=False, by_agg=False, commut
 
         res = self
         # group *consecutive* same-type (group vs axis aggregates) operations
-        # we do not change the order of operations since we only group
-        # consecutive operations.
+        # we do not change the order of operations since we only group consecutive operations.
         for are_axes, axes in groupby(operations, self.axes.isaxis):
             func = res._axis_aggregate if are_axes else res._group_aggregate
             res = func(op, axes, keepaxes=keepaxes, out=out, **extra_kwargs)
@@ -2980,14 +2871,12 @@ def with_total(self, *args, **kwargs):
             percentile: np.percentile,
         }
         # TODO: commutative should be known for usual ops
-        operations = self._prepare_aggregate(op, args, kwargs, False,
-                                             stack_depth=2)
+        operations = self._prepare_aggregate(op, args, kwargs, False, stack_depth=2)
         res = self
-        # TODO: we should allocate the final result directly and fill it
-        #       progressively, so that the original array is only copied once
+        # TODO: we should allocate the final result directly and fill it progressively, so that the original array is
+        #       only copied once
         for axis in operations:
-            # TODO: append/extend first with an empty array then
-            #       _aggregate with out=
+            # TODO: append/extend first with an empty array then _aggregate with out=
             if self.axes.isaxis(axis):
                 value = res._axis_aggregate(npop[op], (axis,), keepaxes=label)
             else:
@@ -3026,8 +2915,8 @@ def argmin(self, axis=None):
 
         Notes
         -----
-        In case of multiple occurrences of the minimum values, the indices
-        corresponding to the first occurrence are returned.
+        In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are
+        returned.
 
         Examples
         --------
@@ -3067,8 +2956,8 @@ def posargmin(self, axis=None):
 
         Notes
         -----
-        In case of multiple occurrences of the minimum values, the indices
-        corresponding to the first occurrence are returned.
+        In case of multiple occurrences of the minimum values, the indices corresponding to the first occurrence are
+        returned.
 
         Examples
         --------
@@ -3106,8 +2995,8 @@ def argmax(self, axis=None):
 
         Notes
         -----
-        In case of multiple occurrences of the maximum values, the labels
-        corresponding to the first occurrence are returned.
+        In case of multiple occurrences of the maximum values, the labels corresponding to the first occurrence are
+        returned.
 
         Examples
         --------
@@ -3147,8 +3036,8 @@ def posargmax(self, axis=None):
 
         Notes
         -----
-        In case of multiple occurrences of the maximum values, the labels
-        corresponding to the first occurrence are returned.
+        In case of multiple occurrences of the maximum values, the labels corresponding to the first occurrence are
+        returned.
 
         Examples
         --------
@@ -3175,15 +3064,13 @@ def posargmax(self, axis=None):
     def argsort(self, axis=None, kind='quicksort'):
         """Returns the labels that would sort this array.
 
-        Perform an indirect sort along the given axis using the algorithm
-        specified by the `kind` keyword. It returns an array of labels of the
-        same shape as `a` that index data along the given axis in sorted order.
+        Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
+        an array of labels of the same shape as `a` that index data along the given axis in sorted order.
 
         Parameters
         ----------
         axis : int or str or Axis, optional
-            Axis along which to sort. This can be omitted if array has only
-            one axis.
+            Axis along which to sort. This can be omitted if array has only one axis.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3218,16 +3105,13 @@ def argsort(self, axis=None, kind='quicksort'):
     def posargsort(self, axis=None, kind='quicksort'):
         """Returns the indices that would sort this array.
 
-        Performs an indirect sort along the given axis using the algorithm
-        specified by the `kind` keyword. It returns an array of indices
-        with the same axes as `a` that index data along the given axis in
-        sorted order.
+        Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
+        an array of indices with the same axes as `a` that index data along the given axis in sorted order.
 
         Parameters
         ----------
         axis : int or str or Axis, optional
-            Axis along which to sort. This can be omitted if array has only
-            one axis.
+            Axis along which to sort. This can be omitted if array has only one axis.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3296,8 +3180,7 @@ def info(self):
             return self.axes.info
 
     def ratio(self, *axes):
-        """Returns an array with all values divided by the
-         sum of values along given axes.
+        """Returns an array with all values divided by the sum of values along given axes.
 
         Parameters
         ----------
@@ -3388,8 +3271,7 @@ def ratio(self, *axes):
         return self / self.sum(*axes)
 
     def rationot0(self, *axes):
-        """Returns a LArray with values array / array.sum(axes) where the sum
-        is not 0, 0 otherwise.
+        """Returns a LArray with values array / array.sum(axes) where the sum is not 0, 0 otherwise.
 
         Parameters
         ----------
@@ -3431,8 +3313,7 @@ def rationot0(self, *axes):
         return self.divnot0(self.sum(*axes))
 
     def percent(self, *axes):
-        """Returns an array with values given as
-         percent of the total of all values along given axes.
+        """Returns an array with values given as percent of the total of all values along given axes.
 
         Parameters
         ----------
@@ -3461,8 +3342,7 @@ def percent(self, *axes):
              BE  40.0  60.0
              FO  20.0  80.0
         """
-        # dividing by self.sum(*axes) * 0.01 would be faster in many cases but
-        # I suspect it loose more precision.
+        # dividing by self.sum(*axes) * 0.01 would be faster in many cases but I suspect it loose more precision.
         return self * 100 / self.sum(*axes)
 
     # aggregate method decorator
@@ -4525,10 +4405,9 @@ def median_by(self, *args, **kwargs):
         """
         pass
 
-    # XXX : for performance reasons, we should use the fact that the
-    #       underlying numpy function handles multiple percentiles in one call.
-    #       This is easy to implement in _axis_aggregate() but not in _group_aggregate()
-    #       since in this case np.percentile() may be called several times.
+    # XXX: for performance reasons, we should use the fact that the underlying numpy function handles multiple
+    #      percentiles in one call. This is easy to implement in _axis_aggregate() but not in _group_aggregate()
+    #      since in this case np.percentile() may be called several times.
     # percentile needs an explicit method because it has not the same
     # signature as other aggregate functions (extra argument)
     def percentile(self, q, *args, **kwargs):
@@ -4695,9 +4574,8 @@ def percentile_by(self, q, *args, **kwargs):
                           extra_kwargs={'q': v, 'interpolation': interpolation})) for v in q], 'percentile')
             return res.transpose()
         else:
-            _extra_kwargs = {'q': q, 'interpolation': interpolation}
-            return self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes, commutative=True,
-                                    out=out, extra_kwargs=_extra_kwargs)
+            return self._aggregate(_npfunc, args, kwargs, by_agg=True, keepaxes=keepaxes, commutative=True, out=out,
+                                   extra_kwargs={'q': q, 'interpolation': interpolation})
 
     _doc_agg_method(percentile_by, True, "qth percentile", extra_args=['q'],
                     kwargs=['out', 'interpolation', 'skipna', 'keepaxes'])
@@ -4915,8 +4793,8 @@ def std(self, *args, **kwargs):
         Examples
         --------
         >>> arr = ndtest((2, 8), dtype=float)
-        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
-                        [7, 3, 2, 5, 8, 5, 6, 4]]
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3],
+        ...             [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
         a\\b   b0   b1   b2   b3   b4   b5   b6   b7
          a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
@@ -4979,8 +4857,8 @@ def std_by(self, *args, **kwargs):
         Examples
         --------
         >>> arr = ndtest((2, 8), dtype=float)
-        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3], \
-                        [7, 3, 2, 5, 8, 5, 6, 4]]
+        >>> arr[:,:] = [[0, 3, 5, 6, 4, 2, 1, 3],
+        ...             [7, 3, 2, 5, 8, 5, 6, 4]]
         >>> arr
         a\\b   b0   b1   b2   b3   b4   b5   b6   b7
          a0  0.0  3.0  5.0  6.0  4.0  2.0  1.0  3.0
@@ -5029,10 +4907,8 @@ def cumsum(self, axis=-1):
         ----------
         axis : int or str or Axis, optional
             Axis along which to perform the cumulative sum.
-            If given as position, it can be a negative integer,
-            in which case it counts from the last to the first axis.
-            By default, the cumulative sum is performed
-            along the last axis.
+            If given as position, it can be a negative integer, in which case it counts from the last to the first axis.
+            By default, the cumulative sum is performed along the last axis.
 
         Returns
         -------
@@ -5079,10 +4955,8 @@ def cumprod(self, axis=-1):
         ----------
         axis : int or str or Axis, optional
             Axis along which to perform the cumulative product.
-            If given as position, it can be a negative integer,
-            in which case it counts from the last to the first axis.
-            By default, the cumulative product is performed
-            along the last axis.
+            If given as position, it can be a negative integer, in which case it counts from the last to the first axis.
+            By default, the cumulative product is performed along the last axis.
 
         Returns
         -------
@@ -5132,20 +5006,16 @@ def opmethod(self, other):
             if isinstance(other, ExprNode):
                 other = other.evaluate(self.axes)
 
-            # we could pass scalars through aslarray too but it is too costly
-            # performance-wise for only suppressing one isscalar test and an
-            # if statement.
-            # TODO: ndarray should probably be converted to larrays because
-            # that would harmonize broadcasting rules, but it makes some
-            # tests fail for some reason.
-            if not isinstance(other, (LArray, np.ndarray)) and \
-                    not np.isscalar(other):
+            # we could pass scalars through aslarray too but it is too costly performance-wise for only suppressing one
+            # isscalar test and an if statement.
+            # TODO: ndarray should probably be converted to larrays because that would harmonize broadcasting rules, but
+            # it makes some tests fail for some reason.
+            if not isinstance(other, (LArray, np.ndarray)) and not np.isscalar(other):
                 other = aslarray(other)
 
             if isinstance(other, LArray):
                 # TODO: first test if it is not already broadcastable
-                (self, other), res_axes = \
-                    make_numpy_broadcastable([self, other])
+                (self, other), res_axes = make_numpy_broadcastable([self, other])
                 other = other.data
             return LArray(super_method(self.data, other), res_axes)
         opmethod.__name__ = fullname
@@ -5241,8 +5111,7 @@ def __matmul__(self, other):
         current = self[:]
         axes = self.axes
         if not isinstance(other, (LArray, np.ndarray)):
-            raise NotImplementedError("matrix multiplication not "
-                                      "implemented for %s" % type(other))
+            raise NotImplementedError("matrix multiplication not implemented for %s" % type(other))
         if isinstance(other, np.ndarray):
             other = LArray(other)
         other_axes = other.axes
@@ -5255,14 +5124,12 @@ def __matmul__(self, other):
         # XXX : What doc of Numpy matmul says:
         # The behavior depends on the arguments in the following way:
         # * If both arguments are 2-D they are multiplied like conventional matrices.
-        # * If either argument is N-D, N > 2, it is treated as a stack of matrices
-        #   residing in the last two indexes and broadcast accordingly.
-        # * If the first argument is 1-D, it is promoted to a matrix by
-        #   prepending a 1 to its dimensions. After matrix multiplication
-        #   the prepended 1 is removed.
-        # * If the second argument is 1-D, it is promoted to a matrix by
-        #   appending a 1 to its dimensions. After matrix multiplication
-        #   the appended 1 is removed.
+        # * If either argument is N-D, N > 2, it is treated as a stack of matrices residing in the last two indexes
+        #   and broadcast accordingly.
+        # * If the first argument is 1-D, it is promoted to a matrix by prepending a 1 to its dimensions. After matrix
+        #   multiplication the prepended 1 is removed.
+        # * If the second argument is 1-D, it is promoted to a matrix by appending a 1 to its dimensions. After matrix
+        #   multiplication the appended 1 is removed.
         res_data = current.data.__matmul__(other.data)
 
         res_axes = list(combined_axes)
@@ -5276,8 +5143,7 @@ def __rmatmul__(self, other):
         if isinstance(other, np.ndarray):
             other = LArray(other)
         if not isinstance(other, LArray):
-            raise NotImplementedError("matrix multiplication not "
-                                      "implemented for %s" % type(other))
+            raise NotImplementedError("matrix multiplication not implemented for %s" % type(other))
         return other.__matmul__(self)
 
     # element-wise method factory
@@ -5361,8 +5227,7 @@ def expand(self, target_axes=None, out=None, readonly=False):
         """Expands array to target_axes.
 
         Target axes will be added to array if not present.
-        In most cases this function is not needed because
-        LArray can do operations with arrays having different
+        In most cases this function is not needed because LArray can do operations with arrays having different
         (compatible) axes.
 
         Parameters
@@ -5373,8 +5238,7 @@ def expand(self, target_axes=None, out=None, readonly=False):
         out : LArray, optional
             Output array, must have the correct shape
         readonly : bool, optional
-            Whether returning a readonly view is acceptable or not (this is
-            much faster)
+            Whether returning a readonly view is acceptable or not (this is much faster)
 
         Returns
         -------
@@ -5404,10 +5268,8 @@ def expand(self, target_axes=None, out=None, readonly=False):
         a2   b1   2   2
         a2   b2   3   3
         """
-        if (target_axes is None and out is None or
-                target_axes is not None and out is not None):
-            raise ValueError("either target_axes or out must be defined "
-                             "(not both)")
+        if target_axes is None and out is None or target_axes is not None and out is not None:
+            raise ValueError("either target_axes or out must be defined (not both)")
         if out is not None:
             target_axes = out.axes
         else:
@@ -5426,11 +5288,9 @@ def expand(self, target_axes=None, out=None, readonly=False):
         if out is None:
             if readonly:
                 # requires numpy 1.10
-                return LArray(np.broadcast_to(broadcasted, target_axes.shape),
-                              target_axes)
+                return LArray(np.broadcast_to(broadcasted, target_axes.shape), target_axes)
             else:
-                out = LArray(np.empty(target_axes.shape, dtype=self.dtype),
-                             target_axes)
+                out = LArray(np.empty(target_axes.shape, dtype=self.dtype), target_axes)
         out[:] = broadcasted
         return out
 
@@ -5486,8 +5346,7 @@ def append(self, axis, value, label=None):
         if np.isscalar(value):
             value = LArray(np.asarray(value, self.dtype))
         # This does not prevent value to have more axes than self.
-        # We do not use .expand(..., readonly=True) so that the code is more
-        # similar to .prepend().
+        # We do not use .expand(..., readonly=True) so that the code is more similar to .prepend().
         target_axes = self.axes.replace(axis, Axis([label], axis.name))
         value = value.broadcast_with(target_axes)
         return self.extend(axis, value)
@@ -5545,8 +5404,8 @@ def prepend(self, axis, value, label=None):
             value = LArray(np.asarray(value, self.dtype))
         # This does not prevent value to have more axes than self
         target_axes = self.axes.replace(axis, Axis([label], axis.name))
-        # We cannot simply add the "new" axis to value (e.g. using expand)
-        # because the resulting axes would not be in the correct order.
+        # We cannot simply add the "new" axis to value (e.g. using expand) because the resulting axes would not be in
+        # the correct order.
         value = value.broadcast_with(target_axes)
         return value.extend(axis, self)
 
@@ -5600,8 +5459,7 @@ def extend(self, axis, other):
           U     type1  0.0  0.0
           U     type2  0.0  0.0
         """
-        result, (self_target, other_target) = \
-            concat_empty(axis, (self.axes, other.axes), self.dtype)
+        result, (self_target, other_target) = concat_empty(axis, (self.axes, other.axes), self.dtype)
         self_target[:] = self
         other_target[:] = other
         return result
@@ -5665,8 +5523,7 @@ def transpose(self, *args):
         axes_indices = [self.axes.index(axis) for axis in axes]
         # this whole mumbo jumbo is required (for now) for anonymous axes
         indices_present = set(axes_indices)
-        missing_indices = [i for i in range(len(self.axes))
-                           if i not in indices_present]
+        missing_indices = [i for i in range(len(self.axes)) if i not in indices_present]
         axes_indices = axes_indices + missing_indices
         return LArray(self.data.transpose(axes_indices), self.axes[axes_indices])
     T = property(transpose)
@@ -5690,20 +5547,17 @@ def clip(self, a_min, a_max, out=None):
         Returns
         -------
         LArray
-            An array with the elements of the current array, but where
-            values < `a_min` are replaced with `a_min`, and those > `a_max`
-            with `a_max`.
+            An array with the elements of the current array,
+            but where values < `a_min` are replaced with `a_min`, and those > `a_max` with `a_max`.
 
         Notes
         -----
-        If `a_min` and/or `a_max` are array_like, broadcast will occur between
-        self, `a_min` and `a_max`.
+        If `a_min` and/or `a_max` are array_like, broadcast will occur between self, `a_min` and `a_max`.
         """
         from larray.core.ufuncs import clip
         return clip(self, a_min, a_max, out)
 
-    def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
-               dropna=None, dialect='default', **kwargs):
+    def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dialect='default', **kwargs):
         """
         Writes array to a csv file.
 
@@ -5721,8 +5575,8 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
         dialect : 'default' | 'classic'
             Whether or not to write the last axis name (using '\' )
         dropna : None, 'all', 'any' or True, optional
-            Drop lines if 'all' its values are NA, if 'any' value is NA or do
-            not drop any line (default). True is equivalent to 'all'.
+            Drop lines if 'all' its values are NA, if 'any' value is NA or do not drop any line (default).
+            True is equivalent to 'all'.
 
         Examples
         --------
@@ -5760,8 +5614,7 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True,
             frame.to_csv(filepath, sep=sep, na_rep=na_rep, **kwargs)
         else:
             series = self.to_series(dropna is not None)
-            series.to_csv(filepath, sep=sep, na_rep=na_rep, header=True,
-                          **kwargs)
+            series.to_csv(filepath, sep=sep, na_rep=na_rep, header=True, **kwargs)
 
     def to_hdf(self, filepath, key, *args, **kwargs):
         """
@@ -5786,44 +5639,35 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         """
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
-    def to_excel(self, filepath=None, sheet_name=None, position='A1',
-                 overwrite_file=False, clear_sheet=False, header=True,
-                 transpose=False, engine=None, *args, **kwargs):
+    def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file=False, clear_sheet=False,
+                 header=True, transpose=False, engine=None, *args, **kwargs):
         """
         Writes array in the specified sheet of specified excel workbook.
 
         Parameters
         ----------
         filepath : str or int or None, optional
-            Path where the excel file has to be written. If None (default),
-            creates a new Excel Workbook in a live Excel instance
-            (Windows only). Use -1 to use the currently active Excel
-            Workbook. Use a name without extension (.xlsx) to use any
-            *unsaved* workbook.
+            Path where the excel file has to be written. If None (default), creates a new Excel Workbook in a live Excel
+            instance (Windows only). Use -1 to use the currently active Excel Workbook. Use a name without extension
+            (.xlsx) to use any unsaved* workbook.
         sheet_name : str or int or None, optional
-            Sheet where the data has to be written. Defaults to None,
-            Excel standard name if adding a sheet to an existing file,
-            "Sheet1" otherwise. sheet_name can also refer to the position of
-            the sheet (e.g. 0 for the first sheet, -1 for the last one).
+            Sheet where the data has to be written. Defaults to None, Excel standard name if adding a sheet to an
+            existing file, "Sheet1" otherwise. sheet_name can also refer to the position of the sheet
+            (e.g. 0 for the first sheet, -1 for the last one).
         position : str or tuple of integers, optional
             Integer position (row, column) must be 1-based. Defaults to 'A1'.
         overwrite_file : bool, optional
-            Whether or not to overwrite the existing file (or just modify the
-            specified sheet). Defaults to False.
+            Whether or not to overwrite the existing file (or just modify the specified sheet). Defaults to False.
         clear_sheet : bool, optional
-            Whether or not to clear the existing sheet (if any) before writing.
-            Defaults to False.
+            Whether or not to clear the existing sheet (if any) before writing. Defaults to False.
         header : bool, optional
-            Whether or not to write a header (axes names and labels).
-            Defaults to True.
+            Whether or not to write a header (axes names and labels). Defaults to True.
         transpose : bool, optional
-            Whether or not to transpose the resulting array. This can be used,
-            for example, for writing one dimensional arrays vertically.
-            Defaults to False.
+            Whether or not to transpose the resulting array. This can be used, for example, for writing one dimensional
+            arrays vertically. Defaults to False.
         engine : 'xlwings' | 'openpyxl' | 'xlsxwriter' | 'xlwt' | None, optional
-            Engine to use to make the output. If None (default), it will use
-            'xlwings' by default if the module is installed and relies on
-            Pandas default writer otherwise.
+            Engine to use to make the output. If None (default), it will use 'xlwings' by default if the module is
+            installed and relies on Pandas default writer otherwise.
         *args
         **kwargs
 
@@ -5887,8 +5731,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1',
     def to_clipboard(self, *args, **kwargs):
         """Sends the content of the array to clipboard.
 
-        Using to_clipboard() makes it possible to paste the content
-        of the array into a file (Excel, ascii file,...).
+        Using to_clipboard() makes it possible to paste the content of the array into a file (Excel, ascii file,...).
 
         Examples
         --------
@@ -5939,8 +5782,7 @@ def to_clipboard(self, *args, **kwargs):
     def plot(self):
         """Plots the data of the array into a graph (window pop-up).
 
-        The graph can be tweaked to achieve the desired formatting and can be
-        saved to a .png file.
+        The graph can be tweaked to achieve the desired formatting and can be saved to a .png file.
 
         Parameters
         ----------
@@ -5962,8 +5804,7 @@ def plot(self):
         sharex : boolean, default True if ax is None else False
             In case subplots=True, share x axis and set some x axis labels to invisible;
             defaults to True if ax is None otherwise False if an ax is passed in;
-            Be aware, that passing in both an ax and sharex=True will alter all x axis labels
-            for all axis in a figure!
+            Be aware, that passing in both an ax and sharex=True will alter all x axis labels for all axis in a figure!
         sharey : boolean, default False
             In case subplots=True, share y axis and set some y axis labels to invisible
         layout : tuple (optional)
@@ -5996,13 +5837,12 @@ def plot(self):
         fontsize : int, default None
             Font size for xticks and yticks
         colormap : str or matplotlib colormap object, default None
-            Colormap to select colors from. If string, load colormap with that name
-            from matplotlib.
+            Colormap to select colors from. If string, load colormap with that name from matplotlib.
         colorbar : boolean, optional
             If True, plot colorbar (only relevant for 'scatter' and 'hexbin' plots)
         position : float
-            Specify relative alignments for bar plot layout.
-            From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center)
+            Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end).
+            Default is 0.5 (center)
         layout : tuple (optional)
             (rows, columns) for the layout of the plot
         yerr : array-like
@@ -6187,8 +6027,8 @@ def __array__(self, dtype=None):
     FO  2  3
 
     # we have to choose which one to support because it is probably not a good idea to simultaneously support the
-    # following syntax (even though we *could* support both if we split values on , before we determine if
-    # the key is an axis or a label by looking if the value is a list or a single string.
+    # following syntax (even though we *could* support both if we split values on , before we determine if the key is
+    # an axis or a label by looking if the value is a list or a single string.
     >>> a.set_labels({'sex': 'Men,Women', 'BE': 'Belgian'})
     nat\\sex  Men  Women
     BE  0  1
@@ -6285,8 +6125,7 @@ def set_labels(self, axis, labels=None, inplace=False):
             return LArray(self.data, axes)
 
     def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
-        return LArray(self.data.astype(dtype, order, casting, subok, copy),
-                      self.axes)
+        return LArray(self.data.astype(dtype, order, casting, subok, copy), self.axes)
     astype.__doc__ = np.ndarray.astype.__doc__
 
     def shift(self, axis, n=1):
@@ -6328,37 +6167,30 @@ def shift(self, axis, n=1):
             return self[:]
 
     # TODO: add support for groups as axis (like aggregates)
-    # eg a.diff(x.year[2018:]) instead of
-    #    a[2018:].diff(x.year)
+    # eg a.diff(x.year[2018:]) instead of a[2018:].diff(x.year)
     def diff(self, axis=-1, d=1, n=1, label='upper'):
         """Calculates the n-th order discrete difference along a given axis.
 
-        The first order difference is given by out[n] = a[n + 1] - a[n] along the
-        given axis, higher order differences are calculated by using diff
-        recursively.
+        The first order difference is given by out[n] = a[n + 1] - a[n] along the given axis, higher order differences
+        are calculated by using diff recursively.
 
         Parameters
         ----------
         axis : int, str or Axis, optional
-            Axis along which the difference is taken.
-            Defaults to the last axis.
-
+            Axis along which the difference is taken. Defaults to the last axis.
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
-
         n : int, optional
             The number of times values are differenced. Defaults to 1.
-
         label : {'lower', 'upper'}, optional
-            The new labels in `axis` will have the labels of either
-            the array being subtracted ('lower') or the array it is
-            subtracted from ('upper'). Defaults to 'upper'.
+            The new labels in `axis` will have the labels of either the array being subtracted ('lower') or the array
+            it is subtracted from ('upper'). Defaults to 'upper'.
 
         Returns
         -------
         LArray :
-            The n-th order differences. The shape of the output is the same
-            as `a` except for `axis` which is smaller by `n` * `d`.
+            The n-th order differences. The shape of the output is the same as `a` except for `axis` which is smaller
+            by `n` * `d`.
 
         Examples
         --------
@@ -6391,12 +6223,10 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
             array = left - right
         return array
 
-    # XXX: this is called pct_change in Pandas (but returns the same results,
-    # not results * 100, which I find silly). Maybe change_rate would be
-    # better (because growth is not always positive)?
+    # XXX: this is called pct_change in Pandas (but returns the same results, not results * 100, which I find silly).
+    # Maybe change_rate would be better (because growth is not always positive)?
     # TODO: add support for groups as axis (like aggregates)
-    # eg a.growth_rate(x.year[2018:]) instead of
-    #    a[2018:].growth_rate(x.year)
+    # eg a.growth_rate(x.year[2018:]) instead of a[2018:].growth_rate(x.year)
     def growth_rate(self, axis=-1, d=1, label='upper'):
         """Calculates the growth along a given axis.
 
@@ -6405,12 +6235,9 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         Parameters
         ----------
         axis : int, str or Axis, optional
-            Axis along which the difference is taken.
-            Defaults to the last axis.
-
+            Axis along which the difference is taken. Defaults to the last axis.
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
-
         label : {'lower', 'upper'}, optional
             The new labels in `axis` will have the labels of either
             the array being subtracted ('lower') or the array it is
@@ -6444,8 +6271,7 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
         return diff / self[axis_obj.i[:-d]].drop_labels(axis)
 
     def compact(self):
-        """Detects and removes "useless" axes
-        (ie axes for which values are constant over the whole axis)
+        """Detects and removes "useless" axes (ie axes for which values are constant over the whole axis)
 
         Returns
         -------
@@ -6480,8 +6306,8 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
-            whether or not to produce a wildcard axis even if the axes to
-            combine are not. This is much faster, but loose axes labels.
+            whether or not to produce a wildcard axis even if the axes to combine are not. This is much faster,
+            but loose axes labels.
 
         Returns
         -------
@@ -6537,18 +6363,15 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         Parameters
         ----------
         axis : int, str or Axis
-            axis to split. All its labels *must* contain
-            the given delimiter string.
+            axis to split. All its labels *must* contain the given delimiter string.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'.
-            When `regex` is provided, the delimiter is only used
-            on `names` if given as one string or on axis name if
+            When `regex` is provided, the delimiter is only used on `names` if given as one string or on axis name if
             `names` is None.
         names : str or list of str, optional
             names of resulting axes. Defaults to None.
         regex : str, optional
-            use regex instead of delimiter to split labels.
-            Defaults to None.
+            use regex instead of delimiter to split labels. Defaults to None.
 
         Returns
         -------
@@ -6630,8 +6453,8 @@ def _check_axes_argument(func):
     @functools.wraps(func)
     def wrapper(*args, **kwargs):
         if len(args) > 1 and isinstance(args[1], (int, Axis)):
-            raise ValueError("If you want to pass several axes or dimension lengths to {}, "
-                             "you must pass them as a list (using []) or tuple (using()).".format(func.__name__))
+            raise ValueError("If you want to pass several axes or dimension lengths to {}, you must pass them as a "
+                             "list (using []) or tuple (using()).".format(func.__name__))
         return func(*args, **kwargs)
     return wrapper
 
@@ -6647,11 +6470,10 @@ def zeros(axes, title='', dtype=float, order='C'):
     title : str, optional
         Title.
     dtype : data-type, optional
-        Desired data-type for the array, e.g., `numpy.int8`.
-        Default is `numpy.float64`.
+        Desired data-type for the array, e.g., `numpy.int8`. Default is `numpy.float64`.
     order : {'C', 'F'}, optional
-        Whether to store multidimensional data in C- (default) or
-        Fortran-contiguous (row- or column-wise) order in memory.
+        Whether to store multidimensional data in C- (default) or Fortran-contiguous (row- or column-wise) order in
+        memory.
 
     Returns
     -------
@@ -6691,10 +6513,9 @@ def zeros_like(array, title='', dtype=None, order='K'):
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
-        Overrides the memory layout of the result. 'C' means C-order,
-        'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,
-        'C' otherwise. 'K' (default) means match the layout of `a` as closely
-        as possible.
+        Overrides the memory layout of the result.
+        'C' means C-order, 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, 'C' otherwise.
+        'K' (default) means match the layout of `a` as closely as possible.
 
     Returns
     -------
@@ -6724,11 +6545,10 @@ def ones(axes, title='', dtype=float, order='C'):
     title : str, optional
         Title.
     dtype : data-type, optional
-        Desired data-type for the array, e.g., `numpy.int8`.  Default is
-        `numpy.float64`.
+        Desired data-type for the array, e.g., `numpy.int8`.  Default is `numpy.float64`.
     order : {'C', 'F'}, optional
-        Whether to store multidimensional data in C- (default) or
-        Fortran-contiguous (row- or column-wise) order in memory.
+        Whether to store multidimensional data in C- (default) or Fortran-contiguous (row- or column-wise) order in
+        memory.
 
     Returns
     -------
@@ -6759,10 +6579,9 @@ def ones_like(array, title='', dtype=None, order='K'):
     dtype : data-type, optional
         Overrides the data type of the result.
     order : {'C', 'F', 'A', or 'K'}, optional
-        Overrides the memory layout of the result. 'C' means C-order,
-        'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,
-        'C' otherwise. 'K' (default) means match the layout of `a` as closely
-        as possible.
+        Overrides the memory layout of the result.
+        'C' means C-order, 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, 'C' otherwise.
+        'K' (default) means match the layout of `a` as closely as possible.
 
     Returns
     -------
@@ -6793,11 +6612,10 @@ def empty(axes, title='', dtype=float, order='C'):
     title : str, optional
         Title.
     dtype : data-type, optional
-        Desired data-type for the array, e.g., `numpy.int8`.  Default is
-        `numpy.float64`.
+        Desired data-type for the array, e.g., `numpy.int8`.  Default is `numpy.float64`.
     order : {'C', 'F'}, optional
-        Whether to store multidimensional data in C- (default) or
-        Fortran-contiguous (row- or column-wise) order in memory.
+        Whether to store multidimensional data in C- (default) or Fortran-contiguous (row- or column-wise) order in
+        memory.
 
     Returns
     -------
@@ -6828,10 +6646,9 @@ def empty_like(array, title='', dtype=None, order='K'):
     dtype : data-type, optional
         Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
-        Overrides the memory layout of the result. 'C' means C-order,
-        'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,
-        'C' otherwise. 'K' (default) means match the layout of `a` as closely
-        as possible.
+        Overrides the memory layout of the result.
+        'C' means C-order, 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, 'C' otherwise.
+        'K' (default) means match the layout of `a` as closely as possible.
 
     Returns
     -------
@@ -6867,8 +6684,8 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
     dtype : data-type, optional
         Desired data-type for the array. Default is the data type of fill_value.
     order : {'C', 'F'}, optional
-        Whether to store multidimensional data in C- (default) or
-        Fortran-contiguous (row- or column-wise) order in memory.
+        Whether to store multidimensional data in C- (default) or Fortran-contiguous (row- or column-wise) order in
+        memory.
 
     Returns
     -------
@@ -6892,8 +6709,8 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
          FO  0  1
     """
     if isinstance(fill_value, Axis):
-        raise ValueError("If you want to pass several axes or dimension lengths to full, "
-                         "you must pass them as a list (using []) or tuple (using()).")
+        raise ValueError("If you want to pass several axes or dimension lengths to full, you must pass them as a "
+                         "list (using []) or tuple (using()).")
     if dtype is None:
         dtype = np.asarray(fill_value).dtype
     res = empty(axes, title, dtype, order)
@@ -6915,10 +6732,9 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
     dtype : data-type, optional
         Overrides the data type of the result. Defaults to the data type of array.
     order : {'C', 'F', 'A', or 'K'}, optional
-        Overrides the memory layout of the result. 'C' means C-order,
-        'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,
-        'C' otherwise. 'K' (default) means match the layout of `a` as closely
-        as possible.
+        Overrides the memory layout of the result.
+        'C' means C-order, 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous, 'C' otherwise.
+        'K' (default) means match the layout of `a` as closely as possible.
 
     Returns
     -------
@@ -6941,18 +6757,15 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
     return res
 
 
-# XXX: would it be possible to generalize to multiple axes and deprecate
-#      ndrange? ndrange is only ever used to create test data (except for 1d)
-# see https://github.com/pydata/pandas/issues/4567
+# XXX: would it be possible to generalize to multiple axes and deprecate ndrange?
+# ndrange is only ever used to create test data (except for 1d). See https://github.com/pydata/pandas/issues/4567
 def sequence(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     """
-    Creates an array by sequentially applying modifications to the array along
-    axis.
+    Creates an array by sequentially applying modifications to the array along axis.
 
-    The value for each label in axis will be given by sequentially transforming
-    the value for the previous label. This transformation on the previous label
-    value consists of applying the function "func" on that value if provided, or
-    to multiply it by mult and increment it by inc otherwise.
+    The value for each label in axis will be given by sequentially transforming the value for the previous label.
+    This transformation on the previous label value consists of applying the function "func" on that value if provided,
+    or to multiply it by mult and increment it by inc otherwise.
 
     Parameters
     ----------
@@ -6962,16 +6775,14 @@ def sequence(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     initial : scalar or LArray, optional
         Value for the first label of axis. Defaults to 0.
     inc : scalar, LArray, optional
-        Value to increment the previous value by. Defaults to 0 if mult is
-        provided, 1 otherwise.
+        Value to increment the previous value by. Defaults to 0 if mult is provided, 1 otherwise.
     mult : scalar, LArray, optional
         Value to multiply the previous value by. Defaults to 1.
     func : function/callable, optional
-        Function to apply to the previous value. Defaults to None. Note that
-        this is much slower than using inc and/or mult.
+        Function to apply to the previous value. Defaults to None.
+        Note that this is much slower than using inc and/or mult.
     axes : int, tuple of int or tuple/list/AxisCollection of Axis, optional
-        Axes of the result. Defaults to the union of axes present in other
-        arguments.
+        Axes of the result. Defaults to the union of axes present in other arguments.
     title : str, optional
         Title.
 
@@ -7114,8 +6925,7 @@ def index_if_exists(a, axis, i):
         # it is easy for array inc OR array mult.
         # it is a bit more complicated for constant inc AND constant mult
         #
-        # it gets hairy for array inc AND array mult. It seems doable but let us
-        #    wait until someone requests it.
+        # it gets hairy for array inc AND array mult. It seems doable but let us wait until someone requests it.
         def array_or_full(a, axis, initial):
             dt = common_type((a, initial))
             r = empty((get_axes(a) - axis) | axis, title=title, dtype=dt)
@@ -7173,14 +6983,12 @@ def ndrange(axes, start=0, title='', dtype=int):
     Parameters
     ----------
     axes : single axis or tuple/list/AxisCollection of axes
-        Axes of the array to create.
-        Each axis can be given as either:
+        Axes of the array to create. Each axis can be given as either:
 
         * Axis object: actual axis object to use.
-        * single int: length of axis. will create a wildcard axis of that
-                      length.
-        * str: coma separated list of labels, with optional leading '=' to
-               set the name of the axis. eg. "a,b,c" or "sex=F,M"
+        * single int: length of axis. will create a wildcard axis of that length.
+        * str: coma separated list of labels, with optional leading '=' to set the name of the axis.
+               eg. "a,b,c" or "sex=F,M"
         * (labels, name) pair: name and labels of axis
     start : number, optional
     title : str, optional
@@ -7243,20 +7051,18 @@ def ndrange(axes, start=0, title='', dtype=int):
 def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     """Returns test array with given shape.
 
-    Axes are named by single letters starting from 'a'. Axes labels are
-    constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0'). Values
-    start from `start` increase by steps of 1.
+    Axes are named by single letters starting from 'a'.
+    Axes labels are constructed using a '{axis_name}{label_pos}' pattern (e.g. 'a0').
+    Values start from `start` increase by steps of 1.
 
     Parameters
     ----------
     shape : int, tuple/list of int
-        Shape of the array to create. An int can be used directly for one
-        dimensional arrays.
+        Shape of the array to create. An int can be used directly for one dimensional arrays.
     start : int or float, optional
         Start value
     label_start : int, optional
-        Label position for each axis is `label_start + position`.
-        `label_start` defaults to 0.
+        Label position for each axis is `label_start + position`. `label_start` defaults to 0.
     title : str, optional
         Title.
     dtype : type or np.dtype, optional
@@ -7313,17 +7119,14 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     ----------
     a : LArray
         If `a` has 2 dimensions or more, return a copy of its `k`-th diagonal.
-        If `a` has 1 dimension, return an array with `ndim` dimensions on the
-        `k`-th diagonal.
+        If `a` has 1 dimension, return an array with `ndim` dimensions on the `k`-th diagonal.
     k : int, optional
-        Offset of the diagonal from the main diagonal.  Can be positive or
-        negative.  Defaults to main diagonal (0).
+        Offset of the diagonal from the main diagonal.  Can be positive or negative.  Defaults to main diagonal (0).
     axes : tuple or list or AxisCollection of axes references, optional
-        Axes along which the diagonals should be taken.  Use None for all axes.
-        Defaults to the first two axes (0, 1).
+        Axes along which the diagonals should be taken.  Use None for all axes. Defaults to the first two axes (0, 1).
     ndim : int, optional
-        Target number of dimensions when constructing a diagonal array from
-        an array without axes names/labels. Defaults to 2.
+        Target number of dimensions when constructing a diagonal array from an array without axes names/labels.
+        Defaults to 2.
     split : bool, optional
         Whether or not to try to split the axis name and labels
 
@@ -7381,8 +7184,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
         else:
             axes = a.axes[axes]
         axes_indices = kth_diag_indices(axes.shape, k)
-        indexer = tuple(axis.i[indices]
-                        for axis, indices in zip(axes, axes_indices))
+        indexer = tuple(axis.i[indices] for axis, indices in zip(axes, axes_indices))
         return a.points[indexer]
 
 
@@ -7424,9 +7226,8 @@ def labels_array(axes, title=''):
         res_axes = axes + Axis(axes.names, 'axis')
         res_data = np.empty(res_axes.shape, dtype=object)
         res_data.flat[:] = list(product(*axes.labels))
-        # XXX: I wonder if it wouldn't be better to return LGroups or a
-        # similar object which would display as "a,b" but where each label is
-        # stored separately.
+        # XXX: I wonder if it wouldn't be better to return LGroups or a similar object which would display as "a,b" but
+        #      where each label is stored separately.
         # flat_data = np.array([p for p in product(*axes.labels)])
         # res_data = flat_data.reshape(axes.shape)
     else:
@@ -7436,11 +7237,9 @@ def labels_array(axes, title=''):
 
 
 def identity(axis):
-    raise NotImplementedError("identity(axis) is deprecated. In most cases, "
-                              "you can now use the axis directly. For example, "
-                              "'identity(age) < 10' can be replaced by "
-                              "'age < 10'. In other cases, you should use "
-                              "labels_array(axis) instead.")
+    raise NotImplementedError("identity(axis) is deprecated. In most cases, you can now use the axis directly. "
+                              "For example, 'identity(age) < 10' can be replaced by 'age < 10'. "
+                              "In other cases, you should use labels_array(axis) instead.")
 
 
 def eye(rows, columns=None, k=0, title='', dtype=None):
@@ -7453,9 +7252,8 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     columns : int or Axis, optional
         Columns of the output. If None, defaults to rows.
     k : int, optional
-        Index of the diagonal: 0 (the default) refers to the main diagonal, a
-        positive value refers to an upper diagonal, and a negative value to a
-        lower diagonal.
+        Index of the diagonal: 0 (the default) refers to the main diagonal, a positive value refers to an upper
+        diagonal, and a negative value to a lower diagonal.
     title : str, optional
         Title.
     dtype : data-type, optional
@@ -7464,8 +7262,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
     Returns
     -------
     LArray of shape (rows, columns)
-        An array where all elements are equal to zero, except for the k-th
-        diagonal, whose values are equal to one.
+        An array where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one.
 
     Examples
     --------
@@ -7501,8 +7298,7 @@ def eye(rows, columns=None, k=0, title='', dtype=None):
 # XXX: we could change the syntax to use *args
 #      => less punctuation but forces kwarg
 #      => potentially longer
-#      => unsure for now. The most important point is that it should be
-#         consistent with other functions.
+#      => unsure for now. The most important point is that it should be consistent with other functions.
 # stack(a1, a2, axis=Axis('M,F', 'sex'))
 # stack(('M', a1), ('F', a2), axis='sex')
 # stack(a1, a2, axis='sex')
@@ -7755,22 +7551,18 @@ def _equal_modulo_len1(shape1, shape2):
     return _strip_shape(shape1) == _strip_shape(shape2)
 
 
-# assigning a temporary name to anonymous axes before broadcasting and
-# removing it afterwards is not a good idea after all because it copies the
-# axes/change the object, and thus "flatten" wouldn't work with position axes:
+# assigning a temporary name to anonymous axes before broadcasting and removing it afterwards is not a good idea after
+# all because it copies the axes/change the object, and thus "flatten" wouldn't work with position axes:
 # a[ones(a.axes[axes], dtype=bool)]
-# but if we had assigned axes names from the start (without dropping them)
-# this wouldn't be a problem.
+# but if we had assigned axes names from the start (without dropping them) this wouldn't be a problem.
 def make_numpy_broadcastable(values):
     """
     Returns values where LArrays are (NumPy) broadcastable between them.
-    For that to be possible, all common axes must be compatible
-    (see Axis class documentation).
+    For that to be possible, all common axes must be compatible (see Axis class documentation).
     Extra axes (in any array) can have any length.
 
-    * the resulting arrays will have the combination of all axes found in the
-      input arrays, the earlier arrays defining the order of axes. Axes with
-      labels take priority over wildcard axes.
+    * the resulting arrays will have the combination of all axes found in the input arrays, the earlier arrays defining
+      the order of axes. Axes with labels take priority over wildcard axes.
     * length 1 wildcard axes will be added for axes not present in input
 
     Parameters
@@ -7781,9 +7573,8 @@ def make_numpy_broadcastable(values):
     Returns
     -------
     list of arrays
-        List of arrays broadcastable between them.
-        Arrays will have the combination of all axes found in the
-        input arrays, the earlier arrays defining the order of axes.
+        List of arrays broadcastable between them. Arrays will have the combination of all axes found in the input
+        arrays, the earlier arrays defining the order of axes.
     AxisCollection
         Collection of axes of all input arrays.
 
@@ -7803,23 +7594,16 @@ def make_numpy_broadcastable(values):
 original_float_error_handler = np.seterrcall(_default_float_error_handler)
 
 # excel IO tools in Python
-# - openpyxl, the slowest but most-complete package but still lags behind
-#   PHPExcel from which it was ported. despite the drawbacks the API is very
-#   complete.
+# - openpyxl: the slowest but most-complete package but still lags behind PHPExcel from which it was ported. despite
+#             the drawbacks the API is very complete.
 #   biggest drawbacks:
-#   * you can get either the "cached" value of cells OR their formulas but NOT
-#     BOTH and this is a file-wide setting (data_only=True).
-#     if you have an excel file and want to add a sheet to it, you either loose
-#     all cached values (which is problematic in many cases since you do not
-#     necessarily have linked files) or loose all formulas.
-#   * it loose "charts" on read. => cannot append/update a sheet to a file with
-#     charts, which is precisely what many users asked. => users need to
-#     create their charts using code.
-# - xlsxwriter: faster and slightly more feature-complete than openpyxl
-#   regarding writing but does not read anything => cannot update an existing
-#   file. API seems extremely complete.
-# - pyexcelerate: yet faster but also write only. Didn't check whether API
-#   is more featured than xlsxwriter or not.
-# - xlwings: wraps win32com & equivalent on mac, so can potentially do
-#   everything (I guess) but this is SLOW and needs a running excel instance,
-#   etc.
+#   * you can get either the "cached" value of cells OR their formulas but NOT BOTH and this is a file-wide setting
+#     (data_only=True). if you have an excel file and want to add a sheet to it, you either loose all cached values
+#     (which is problematic in many cases since you do not necessarily have linked files) or loose all formulas.
+#   * it loose "charts" on read. => cannot append/update a sheet to a file with charts, which is precisely what many
+#     users asked. => users need to create their charts using code.
+# - xlsxwriter: faster and slightly more feature-complete than openpyxl regarding writing but does not read anything
+#               => cannot update an existing file. API seems extremely complete.
+# - pyexcelerate: yet faster but also write only. Didn't check whether API is more featured than xlsxwriter or not.
+# - xlwings: wraps win32com & equivalent on mac, so can potentially do everything (I guess) but this is SLOW and needs
+#            a running excel instance, etc.
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 282ecf234..5ab8c7d94 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -10,8 +10,8 @@
 
 from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (Group, LGroup, PGroup, PGroupMaker, _to_tick, _to_ticks, _to_key,
-                               _seq_summary, _contain_group_ticks, _seq_group_to_name)
+from larray.core.group import (Group, LGroup, PGroup, PGroupMaker, _to_tick, _to_ticks, _to_key, _seq_summary,
+                               _contain_group_ticks, _seq_group_to_name)
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id
 
@@ -28,8 +28,7 @@ class Axis(ABCAxis):
         collection of values usable as labels, i.e. numbers or strings or the size of the axis.
         In the last case, a wildcard axis is created.
     name : str or Axis, optional
-        name of the axis or another instance of Axis.
-        In the second case, the name of the other axis is simply copied.
+        name of the axis or another instance of Axis. In the second case, the name of the other axis is simply copied.
         By default None.
 
     Attributes
@@ -93,8 +92,7 @@ def __init__(self, labels, name=None):
         # make sure we do not have np.str_ as it causes problems down the
         # line with xlwings. Cannot use isinstance to check that though.
         is_python_str = type(name) is unicode or type(name) is bytes
-        assert name is None or isinstance(name, int) or is_python_str, \
-            type(name)
+        assert name is None or isinstance(name, int) or is_python_str, type(name)
         self.name = name
         self._labels = None
         self.__mapping = None
@@ -110,20 +108,15 @@ def _mapping(self):
         mapping = self.__mapping
         if mapping is None:
             labels = self._labels
-            # TODO: this would be more efficient for wildcard axes but
-            # does not work in all cases
+            # TODO: this would be more efficient for wildcard axes but does not work in all cases
             # mapping = labels
             mapping = {label: i for i, label in enumerate(labels)}
             if not self._iswildcard:
-                # we have no choice but to do that!
-                # otherwise we could not make geo['Brussels'] work efficiently
-                # (we could have to traverse the whole mapping checking for each
-                # name, which is not an option)
-                # TODO: only do this if labels.dtype is object, or add
-                # "contains_lgroup" flag in above code (if any(...))
-                # 0.179
-                mapping.update({label.name: i for i, label in enumerate(labels)
-                                if isinstance(label, Group)})
+                # we have no choice but to do that, otherwise we could not make geo['Brussels'] work efficiently
+                # (we could have to traverse the whole mapping checking for each name, which is not an option)
+                # TODO: only do this if labels.dtype is object, or add "contains_lgroup" flag in above code
+                # (if any(...))
+                mapping.update({label.name: i for i, label in enumerate(labels) if isinstance(label, Group)})
             self.__mapping = mapping
         return mapping
 
@@ -243,23 +236,19 @@ def by(self, length, step=None):
 
     def extend(self, labels):
         """
-        Append new labels to an axis or increase its length
-        in case of wildcard axis.
-        Note that `extend` does not occur in-place: a new axis
-        object is allocated, filled and returned.
+        Append new labels to an axis or increase its length in case of wildcard axis.
+        Note that `extend` does not occur in-place: a new axis object is allocated, filled and returned.
 
         Parameters
         ----------
         labels : int, iterable or Axis
-            New labels to append to the axis.
-            Passing directly another Axis is also possible.
+            New labels to append to the axis. Passing directly another Axis is also possible.
             If the current axis is a wildcard axis, passing a length is enough.
 
         Returns
         -------
         Axis
-            A copy of the axis with new labels appended to it or
-            with increased length (if wildcard).
+            A copy of the axis with new labels appended to it or with increased length (if wildcard).
 
         Examples
         --------
@@ -331,8 +320,8 @@ def all(self, name=None):
         """
         axis_name = self.name if self.name else 'axis'
         group_name = name if name else 'all'
-        raise NotImplementedError('Axis.all is deprecated. '
-                                  'Use {}[:] >> {} instead.'.format(axis_name, repr(group_name)))
+        raise NotImplementedError('Axis.all is deprecated. Use {}[:] >> {} instead.'
+                                  .format(axis_name, repr(group_name)))
 
     def subaxis(self, key, name=None):
         """
@@ -348,8 +337,7 @@ def subaxis(self, key, name=None):
         Returns
         -------
         Axis
-            Subaxis.
-            If key is a None slice and name is None, the original Axis is returned.
+            Subaxis. If key is a None slice and name is None, the original Axis is returned.
             If key is a LArray, the list of axes is returned.
 
         Examples
@@ -358,12 +346,10 @@ def subaxis(self, key, name=None):
         >>> age.subaxis(range(10, 19), 'teenagers')
         Axis([10, 11, 12, 13, 14, 15, 16, 17, 18], 'teenagers')
         """
-        if (name is None and isinstance(key, slice) and
-                key.start is None and key.stop is None and key.step is None):
+        if name is None and isinstance(key, slice) and key.start is None and key.stop is None and key.step is None:
             return self
-        # we must NOT modify the axis name, even though this creates a new axis
-        # that is independent from the original one because the original
-        # name is probably what users will want to use to filter
+        # we must NOT modify the axis name, even though this creates a new axis that is independent from the original
+        # one because the original name is probably what users will want to use to filter
         if name is None:
             name = self.name
         if isinstance(key, ABCLArray):
@@ -422,7 +408,7 @@ def iscompatible(self, other):
     def equals(self, other):
         """
         Checks if self is equal to another axis.
-        Two axes are equal if the have the same name and label(s).
+        Two axes are equal if they have the same name and label(s).
 
         Parameters
         ----------
@@ -450,12 +436,9 @@ def equals(self, other):
         if self is other:
             return True
 
-        # this might need to change if we ever support wildcard axes with
-        # real labels
-        return isinstance(other, Axis) and self.name == other.name and \
-               self.iswildcard == other.iswildcard and \
-               (len(self) == len(other) if self.iswildcard else
-                    np.array_equal(self.labels, other.labels))
+        # this might need to change if we ever support wildcard axes with real labels
+        return isinstance(other, Axis) and self.name == other.name and self.iswildcard == other.iswildcard and \
+               (len(self) == len(other) if self.iswildcard else np.array_equal(self.labels, other.labels))
 
     def matches(self, pattern):
         """
@@ -591,15 +574,13 @@ def __hash__(self):
     def _is_key_type_compatible(self, key):
         key_kind = np.dtype(type(key)).kind
         label_kind = self.labels.dtype.kind
-        # on Python2, ascii-only unicode string can match byte strings (and
-        # vice versa), so we shouldn't be more picky here than dict hashing
+        # on Python2, ascii-only unicode string can match byte strings (and vice versa), so we shouldn't be more picky
+        # here than dict hashing
         str_key = key_kind in ('S', 'U')
         str_label = label_kind in ('S', 'U')
         py2_str_match = PY2 and str_key and str_label
         # object kind can match anything
-        return key_kind == label_kind or \
-               key_kind == 'O' or label_kind == 'O' or \
-               py2_str_match
+        return key_kind == label_kind or key_kind == 'O' or label_kind == 'O' or py2_str_match
 
     def translate(self, key, bool_passthrough=True):
         """
@@ -680,8 +661,7 @@ def translate(self, key, bool_passthrough=True):
             stop = mapping[key.stop] + 1 if key.stop is not None else None
             return slice(start, stop, key.step)
         # XXX: bool LArray do not pass through???
-        elif isinstance(key, np.ndarray) and key.dtype.kind is 'b' and \
-                bool_passthrough:
+        elif isinstance(key, np.ndarray) and key.dtype.kind is 'b' and bool_passthrough:
             return key
         elif isinstance(key, (tuple, list, OrderedSet)):
             # TODO: the result should be cached
@@ -697,17 +677,14 @@ def translate(self, key, bool_passthrough=True):
         elif isinstance(key, np.ndarray):
             # handle fancy indexing with a ndarray of labels
             # TODO: the result should be cached
-            # TODO: benchmark this against the tuple/list version above when
-            # mapping is large
+            # TODO: benchmark this against the tuple/list version above when mapping is large
             # array_lookup is O(len(key) * log(len(mapping)))
             # vs
             # tuple/list version is O(len(key)) (dict.getitem is O(1))
-            # XXX: we might want to special case dtype bool, because in that
-            # case the mapping will in most case be {False: 0, True: 1} or
-            # {False: 1, True: 0} and in those case key.astype(int) and
-            # (~key).astype(int) are MUCH faster
-            # see C:\Users\gdm\devel\lookup_methods.py and
-            #     C:\Users\gdm\Desktop\lookup_methods.html
+            # XXX: we might want to special case dtype bool, because in that case the mapping will in most case be
+            # {False: 0, True: 1} or {False: 1, True: 0} and in those case key.astype(int) and (~key).astype(int)
+            # are MUCH faster
+            # see C:\Users\gdm\devel\lookup_methods.py and C:\Users\gdm\Desktop\lookup_methods.html
             try:
                 return array_lookup2(_seq_group_to_name(key), self._sorted_keys, self._sorted_values)
             except KeyError:
@@ -716,8 +693,8 @@ def translate(self, key, bool_passthrough=True):
             from .array import LArray
             return LArray(self.translate(key.data), key.axes)
         else:
-            # the first mapping[key] above will cover most cases. This code
-            # path is only used if the key was given in "non normalized form"
+            # the first mapping[key] above will cover most cases.
+            # This code path is only used if the key was given in "non normalized form"
             assert np.isscalar(key), "%s (%s) is not scalar" % (key, type(key))
             # key is scalar (integer, float, string, ...)
             if self._is_key_type_compatible(key):
@@ -765,8 +742,7 @@ def _binop(opname):
         def opmethod(self, other):
             # give a chance to AxisCollection.__rXXX__ ops to trigger
             if isinstance(other, AxisCollection):
-                # in this case it is indeed return NotImplemented, not raise
-                # NotImplementedError!
+                # in this case it is indeed return NotImplemented, not raise NotImplementedError!
                 return NotImplemented
 
             from .array import labels_array
@@ -826,8 +802,7 @@ def copy(self):
         Returns a copy of the axis.
         """
         new_axis = Axis([], self.name)
-        # XXX: I wonder if we should make a copy of the labels + mapping.
-        # There should at least be an option.
+        # XXX: I wonder if we should make a copy of the labels + mapping. There should at least be an option.
         new_axis._labels = self._labels
         new_axis.__mapping = self.__mapping
         new_axis._length = self._length
@@ -1063,8 +1038,8 @@ def _make_axis(obj):
 
 
 # not using OrderedDict because it does not support indices-based getitem
-# not using namedtuple because we have to know the fields in advance (it is a
-# one-off class) and we need more functionality than just a named tuple
+# not using namedtuple because we have to know the fields in advance (it is a one-off class) and we need more
+# functionality than just a named tuple
 class AxisCollection(object):
     """
     Represents a collection of axes.
@@ -1117,11 +1092,8 @@ def __init__(self, axes=None):
         dupe_axes = list(duplicates(axes))
         if dupe_axes:
             axis = dupe_axes[0]
-            raise ValueError("Cannot have multiple occurrences of the same "
-                             "axis object in a collection "
-                             "('%s' -- %s with id %d). "
-                             "Several axes with the same name are allowed "
-                             "though (but not recommended)."
+            raise ValueError("Cannot have multiple occurrences of the same axis object in a collection ('%s' -- %s "\
+                             "with id %d). Several axes with the same name are allowed though (but not recommended)."
                              % (axis.name, axis.labels_summary(), id(axis)))
         self._list = axes
         self._map = {axis.name: axis for axis in axes if axis.name is not None}
@@ -1131,24 +1103,18 @@ def __init__(self, axes=None):
         #     axis_dupes = list(duplicates(axis.labels))
         #     if axis_dupes:
         #         dupe_labels = ', '.join(str(l) for l in axis_dupes)
-        #         warnings.warn("duplicate labels found for axis %s: %s"
-        #                       % (axis.name, dupe_labels),
+        #         warnings.warn("duplicate labels found for axis %s: %s" % (axis.name, dupe_labels),
         #                       category=UserWarning, stacklevel=2)
         #
-        # # check dupes between axes. Using unique to not spot the dupes
-        # # within the same axis that we just displayed.
+        # # check dupes between axes. Using unique to not spot the dupes within the same axis that we just displayed.
         # all_labels = chain(*[np.unique(axis.labels) for axis in axes])
         # dupe_labels = list(duplicates(all_labels))
         # if dupe_labels:
-        #     label_axes = [(label, ', '.join(display_name
-        #                                     for axis, display_name
-        #                                     in zip(axes, self.display_names)
+        #     label_axes = [(label, ', '.join(display_name for axis, display_name in zip(axes, self.display_names)
         #                                     if label in axis))
         #                   for label in dupe_labels]
-        #     dupes = '\n'.join("{} is valid in {{{}}}".format(label, axes)
-        #                       for label, axes in label_axes)
-        #     warnings.warn("ambiguous labels found:\n%s" % dupes,
-        #                   category=UserWarning, stacklevel=5)
+        #     dupes = '\n'.join("{} is valid in {{{}}}".format(label, axes) for label, axes in label_axes)
+        #     warnings.warn("ambiguous labels found:\n%s" % dupes, category=UserWarning, stacklevel=5)
 
     def __dir__(self):
         # called by dir() and tab-completion at the interactive prompt, must return a list of any valid getattr key.
@@ -1182,8 +1148,8 @@ def __getitem__(self, key):
                 if key.name is None:
                     raise KeyError("axis '%s' not found in %s" % (key, self))
                 else:
-                    # we should NOT check that the object is the same, so that we can
-                    # use AxisReference objects to target real axes
+                    # we should NOT check that the object is the same, so that we can use AxisReference objects to
+                    # target real axes
                     key = key.name
 
         if isinstance(key, int):
@@ -1215,13 +1181,11 @@ def __getitem__(self, key):
     def _ipython_key_completions_(self):
         return list(self._map.keys())
 
-    # XXX: I wonder if this whole positional crap should really be part of
-    # AxisCollection or the default behavior. It could either be moved to
-    # make_numpy_broadcastable or made non default
+    # XXX: I wonder if this whole positional crap should really be part of AxisCollection or the default behavior.
+    # It could either be moved to make_numpy_broadcastable or made non default
     def get_by_pos(self, key, i):
         """
-        Returns axis corresponding to a key, or to position i if the key
-        has no name and key object not found.
+        Returns axis corresponding to a key, or to position i if the key has no name and key object not found.
 
         Parameters
         ----------
@@ -1254,11 +1218,9 @@ def get_by_pos(self, key, i):
                     if res.iscompatible(key):
                         return res
                     else:
-                        raise ValueError("axis %s is not compatible with %s"
-                                         % (res, key))
+                        raise ValueError("axis %s is not compatible with %s" % (res, key))
                 # XXX: KeyError instead?
-                raise ValueError("axis %s not found in %s"
-                                 % (key, self))
+                raise ValueError("axis %s not found in %s" % (key, self))
         else:
             return self[key]
 
@@ -1268,14 +1230,13 @@ def __setitem__(self, key, value):
 
             def slice_bound(bound):
                 if bound is None or isinstance(bound, int):
-                    # out of bounds integer bounds are allowed in slice setitem
-                    # so we cannot use .index
+                    # out of bounds integer bounds are allowed in slice setitem so we cannot use .index
                     return bound
                 else:
                     return self.index(bound)
             start_idx = slice_bound(key.start)
-            # XXX: we might want to make the stop bound inclusive, which makes
-            # more sense for label bounds (but prevents inserts via setitem)
+            # XXX: we might want to make the stop bound inclusive, which makes more sense for label bounds (but
+            #      prevents inserts via setitem)
             stop_idx = slice_bound(key.stop)
             old = self._list[start_idx:stop_idx:key.step]
             for axis in old:
@@ -1333,18 +1294,15 @@ def __and__(self, other):
             other = AxisCollection(other)
 
         # XXX: add iscompatible when matching by position?
-        # TODO: move this to a class method (possibly private) so that
-        # we make sure we use same heuristic than in .extend
+        # TODO: move this to a class method (possibly private) so that we are sure we use same heuristic than in .extend
         def contains(col, i, axis):
             return axis in col or (axis.name is None and i in col)
 
-        return AxisCollection([axis for i, axis in enumerate(self)
-                               if contains(other, i, axis)])
+        return AxisCollection([axis for i, axis in enumerate(self) if contains(other, i, axis)])
 
     def __eq__(self, other):
         """
-        Other collection compares equal if all axes compare equal and in the
-        same order. Works with a list.
+        Other collection compares equal if all axes compare equal and in the same order. Works with a list.
         """
         if self is other:
             return True
@@ -1373,8 +1331,7 @@ def __contains__(self, key):
 
     def isaxis(self, value):
         """
-        Tests if input is an Axis object or
-        the name of an axis contained in self.
+        Tests if input is an Axis object or the name of an axis contained in self.
 
         Parameters
         ----------
@@ -1384,8 +1341,8 @@ def isaxis(self, value):
         Returns
         -------
         bool
-            True if input is an Axis object or the name of an axis contained in
-            the current AxisCollection instance, False otherwise.
+            True if input is an Axis object or the name of an axis contained in the current AxisCollection instance,
+            False otherwise.
 
         Examples
         --------
@@ -1401,27 +1358,20 @@ def isaxis(self, value):
         """
         # this is tricky. 0 and 1 can be both axes indices and axes ticks.
         # not sure what's worse:
-        # 1) disallow aggregates(axis_num)
-        #    users could still use arr.sum(arr.axes[0])
-        #    we could also provide an explicit kwarg (ie this would
-        #    effectively forbid having an axis named "axis").
-        #    arr.sum(axis=0). I think this is the sanest option. The
-        #    error message in case we use it without the keyword needs to
-        #    be clearer though.
-        return isinstance(value, Axis) or (isinstance(value, basestring) and
-                                           value in self)
-        # 2) slightly inconsistent API: allow aggregate over single labels
-        #    if they are string, but not int
+        # 1) disallow aggregates(axis_num): users could still use arr.sum(arr.axes[0])
+        #    we could also provide an explicit kwarg (ie this would effectively forbid having an axis named "axis").
+        #    arr.sum(axis=0). I think this is the sanest option. The error message in case we use it without the
+        #    keyword needs to be clearer though.
+        return isinstance(value, Axis) or (isinstance(value, basestring) and value in self)
+        # 2) slightly inconsistent API: allow aggregate over single labels if they are string, but not int
         #    arr.sum(0) would sum on the first axis, but arr.sum('M') would
         #    sum a single tick. I don't like this option.
-        # 3) disallow single tick aggregates. Single labels make little
-        #    sense in the context of an aggregate, but you don't always
-        #    know/want to differenciate the code in that case anyway.
+        # 3) disallow single tick aggregates. Single labels make little sense in the context of an aggregate,
+        #    but you don't always know/want to differenciate the code in that case anyway.
         #    It would be annoying for e.g. Brussels
         # 4) give priority to axes,
         #    arr.sum(0) would sum on the first axis but arr.sum(5) would
-        #    sum a single tick (assuming there is a int axis and less than
-        #    six axes).
+        #    sum a single tick (assuming there is a int axis and less than six axes).
         # return value in self
 
     def __len__(self):
@@ -1437,8 +1387,7 @@ def __repr__(self):
 
     def get(self, key, default=None, name=None):
         """
-        Returns axis corresponding to key. If not found,
-        the argument `name` is used to create a new Axis.
+        Returns axis corresponding to key. If not found, the argument `name` is used to create a new Axis.
         If `name` is None, the `default` axis is then returned.
 
         Parameters
@@ -1446,11 +1395,9 @@ def get(self, key, default=None, name=None):
         key : key
             Key corresponding to an axis of the current AxisCollection.
         default : axis, optional
-            Default axis to return if key doesn't correspond to any axis of
-            the collection and argument `name` is None.
+            Default axis to return if key doesn't correspond to any axis of the collection and argument `name` is None.
         name : str, optional
-            If key doesn't correspond to any axis of the collection,
-            a new Axis with this name is created and returned.
+            If key doesn't correspond to any axis of the collection, a new Axis with this name is created and returned.
 
         Examples
         --------
@@ -1476,8 +1423,7 @@ def get(self, key, default=None, name=None):
 
     def get_all(self, key):
         """
-        Returns all axes from key if present and length 1 wildcard axes
-        otherwise.
+        Returns all axes from key if present and length 1 wildcard axes otherwise.
 
         Parameters
         ----------
@@ -1508,6 +1454,7 @@ def get_all(self, key):
         ])
         """
         assert isinstance(key, AxisCollection)
+
         def get_pos_default(k, i):
             try:
                 return self.get_by_pos(k, i)
@@ -1518,8 +1465,7 @@ def get_pos_default(k, i):
                 else:
                     return Axis(1, k.name if k.name is not None else i)
 
-        return AxisCollection([get_pos_default(k, i)
-                               for i, k in enumerate(key)])
+        return AxisCollection([get_pos_default(k, i) for i, k in enumerate(key)])
 
     def keys(self):
         """
@@ -1543,8 +1489,7 @@ def pop(self, axis=-1):
         Parameters
         ----------
         axis : key, optional
-            Axis to remove and return.
-            Default value is -1 (last axis).
+            Axis to remove and return. Default value is -1 (last axis).
 
         Returns
         -------
@@ -1598,8 +1543,8 @@ def append(self, axis):
 
     def check_compatible(self, axes):
         """
-        Checks if axes passed as argument are compatible with those
-        contained in the collection. Raises a ValueError if not.
+        Checks if axes passed as argument are compatible with those contained in the collection.
+        Raises ValueError if not.
 
         See Also
         --------
@@ -1608,8 +1553,7 @@ def check_compatible(self, axes):
         for i, axis in enumerate(axes):
             local_axis = self.get_by_pos(axis, i)
             if not local_axis.iscompatible(axis):
-                raise ValueError("incompatible axes:\n%r\nvs\n%r"
-                                 % (axis, local_axis))
+                raise ValueError("incompatible axes:\n%r\nvs\n%r" % (axis, local_axis))
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """
@@ -1642,8 +1586,7 @@ def extend(self, axes, validate=True, replace_wildcards=False):
         """
         # axes should be a sequence
         if not isinstance(axes, (tuple, list, AxisCollection)):
-            raise TypeError("AxisCollection can only be extended by a "
-                            "sequence of Axis, not %s" % type(axes).__name__)
+            raise TypeError("AxisCollection can only be extended by a sequence of Axis, not %s" % type(axes).__name__)
         # check that common axes are the same
         # if validate:
         #     self.check_compatible(axes)
@@ -1667,8 +1610,7 @@ def get_axis(col, i, axis):
             else:
                 # check that common axes are the same
                 if validate and not old_axis.iscompatible(axis):
-                    raise ValueError("incompatible axes:\n%r\nvs\n%r"
-                                     % (axis, old_axis))
+                    raise ValueError("incompatible axes:\n%r\nvs\n%r" % (axis, old_axis))
                 if replace_wildcards and old_axis.iswildcard:
                     self[old_axis] = axis
 
@@ -1676,16 +1618,14 @@ def index(self, axis):
         """
         Returns the index of axis.
 
-        `axis` can be a name or an Axis object (or an index).
-        If the Axis object itself exists in the list, index() will return it.
-        Otherwise, it will return the index of the local axis with the same
-        name than the key (whether it is compatible or not).
+        `axis` can be a name or an Axis object (or an index). If the Axis object itself exists in the list, index()
+        will return it. Otherwise, it will return the index of the local axis with the same name than the key (whether
+        it is compatible or not).
 
         Parameters
         ----------
         axis : Axis or int or str
-            Can be the axis itself or its position (returned if represents a valid index)
-            or its name.
+            Can be the axis itself or its position (returned if represents a valid index) or its name.
 
         Returns
         -------
@@ -1715,9 +1655,8 @@ def index(self, axis):
                 raise ValueError("axis %d is not in collection" % axis)
         elif isinstance(axis, Axis):
             try:
-                # first look by id. This avoids testing labels of each axis
-                # and makes sure the result is correct even if there are
-                # several axes with no name and the same labels.
+                # first look by id. This avoids testing labels of each axis and makes sure the result is correct even
+                # if there are several axes with no name and the same labels.
                 return index_by_id(self._list, axis)
             except ValueError:
                 name = axis.name
@@ -1727,8 +1666,8 @@ def index(self, axis):
             raise ValueError("%r is not in collection" % axis)
         return self.names.index(name)
 
-    # XXX: we might want to return a new AxisCollection (same question for
-    # other inplace operations: append, extend, pop, __delitem__, __setitem__)
+    # XXX: we might want to return a new AxisCollection (same question for other inplace operations:
+    # append, extend, pop, __delitem__, __setitem__)
     def insert(self, index, axis):
         """
         Inserts axis before index.
@@ -1841,8 +1780,7 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
         if isinstance(axes_to_replace, (list, AxisCollection)) and \
                 all([isinstance(axis, Axis) for axis in axes_to_replace]):
             if len(axes_to_replace) != len(self):
-                raise ValueError('{} axes given as argument, expected '
-                                 '{}'.format(len(axes_to_replace), len(self)))
+                raise ValueError('{} axes given as argument, expected {}'.format(len(axes_to_replace), len(self)))
             axes = axes_to_replace
         else:
             axes = self if inplace else self[:]
@@ -1920,8 +1858,7 @@ def __sub__(self, axes):
 
         # only keep indices (as this works for unnamed axes too)
         to_remove = set(self.index(axis) for axis in axes if axis in self)
-        return AxisCollection([axis for i, axis in enumerate(self)
-                               if i not in to_remove])
+        return AxisCollection([axis for i, axis in enumerate(self) if i not in to_remove])
 
     def translate_full_key(self, key):
         """
@@ -1930,8 +1867,7 @@ def translate_full_key(self, key):
         Parameters
         ----------
         key : tuple
-            A full label-based key.
-            All dimensions must be present and in the correct order.
+            A full label-based key. All dimensions must be present and in the correct order.
 
         Returns
         -------
@@ -1951,8 +1887,7 @@ def translate_full_key(self, key):
         (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
-        return tuple(axis.translate(axis_key)
-                     for axis_key, axis in zip(key, self))
+        return tuple(axis.translate(axis_key) for axis_key, axis in zip(key, self))
 
     @property
     def labels(self):
@@ -2002,8 +1937,7 @@ def display_names(self):
         Returns
         -------
         list
-            List of names of the axes.
-            Wildcard axes are displayed with an attached \*.
+            List of names of the axes. Wildcard axes are displayed with an attached \*.
             Anonymous axes (name = None) are replaced by their position wrapped in braces.
 
         Examples
@@ -2150,11 +2084,11 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
-            whether or not to produce a wildcard axis even if the axes to
-            combine are not. This is much faster, but loose axes labels.
+            whether or not to produce a wildcard axis even if the axes to combine are not.
+            This is much faster, but loose axes labels.
         front_if_spread : bool, optional
-            whether or not to move the combined axis at the front (it will be
-            the first axis) if the combined axes are not next to each other.
+            whether or not to move the combined axis at the front (it will be the first axis) if the combined axes are
+            not next to each other.
 
         Returns
         -------
@@ -2179,15 +2113,12 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         if wildcard:
             combined_axis = Axis(axes.size, combined_name)
         else:
-            # TODO: the combined keys should be objects which display as:
-            # (axis1_label, axis2_label, ...) but which should also store
-            # the axes names)
+            # TODO: the combined keys should be objects which display as: (axis1_label, axis2_label, ...) but
+            # which should also store the axes names)
             # Q: Should it be the same object as the NDLGroup?/NDKey?
-            # A: yes. On the Pandas backend, we could/should have
-            #    separate axes. On the numpy backend we cannot.
+            # A: yes. On the Pandas backend, we could/should have separate axes. On the numpy backend we cannot.
             if len(axes) == 1:
-                # Q: if axis is a wildcard axis, should the result be a
-                #    wildcard axis (and axes_labels discarded?)
+                # Q: if axis is a wildcard axis, should the result be a wildcard axis (and axes_labels discarded?)
                 combined_labels = axes[0].labels
             else:
                 combined_labels = [sep.join(str(l) for l in p)
@@ -2204,18 +2135,14 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         Parameters
         ----------
         axis : int, str or Axis
-            axis to split. All its labels *must* contain
-            the given delimiter string.
+            axis to split. All its labels *must* contain the given delimiter string.
         sep : str, optional
-            delimiter to use for splitting. Defaults to '_'.
-            When `regex` is provided, the delimiter is only used
-            on `names` if given as one string or on axis name if
-            `names` is None.
+            delimiter to use for splitting. Defaults to '_'. When `regex` is provided, the delimiter is only used on
+            `names` if given as one string or on axis name if `names` is None.
         names : str or list of str, optional
             names of resulting axes. Defaults to None.
         regex : str, optional
-            use regex instead of delimiter to split labels.
-            Defaults to None.
+            use regex instead of delimiter to split labels. Defaults to None.
 
         Returns
         -------
@@ -2225,14 +2152,12 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         axis_index = self.index(axis)
         if names is None:
             if sep not in axis.name:
-                raise ValueError('{} not found in axis name ({})'
-                                 .format(sep, axis.name))
+                raise ValueError('{} not found in axis name ({})'.format(sep, axis.name))
             else:
                 names = axis.name.split(sep)
         elif isinstance(names, str):
             if sep not in names:
-                raise ValueError('{} not found in names ({})'
-                                 .format(sep, names))
+                raise ValueError('{} not found in names ({})'.format(sep, names))
             else:
                 names = names.split(sep)
         else:
@@ -2362,8 +2287,7 @@ def __init__(self, name):
         self._iswildcard = False
 
     def translate(self, key):
-        raise NotImplementedError("an AxisReference (x.) cannot translate "
-                                  "labels")
+        raise NotImplementedError("an AxisReference (x.) cannot translate labels")
 
     def __repr__(self):
         return 'AxisReference(%r)' % self.name
@@ -2377,14 +2301,13 @@ def evaluate(self, context):
         """
         return context[self]
 
-    # needed because ExprNode.__hash__ (which is object.__hash__)
-    # takes precedence over Axis.__hash__
+    # needed because ExprNode.__hash__ (which is object.__hash__) takes precedence over Axis.__hash__
     def __hash__(self):
         return id(self)
 
 
 class AxisReferenceFactory(object):
-    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__):
+    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__)
     def __getstate__(self):
         return self.__dict__
 
@@ -2397,5 +2320,6 @@ def __getattr__(self, key):
     def __getitem__(self, key):
         return AxisReference(key)
 
+
 x = AxisReferenceFactory()
 
diff --git a/larray/core/group.py b/larray/core/group.py
index eacbe0dbc..40bad6648 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -169,8 +169,8 @@ def generalized_range(start, stop, step=1):
                 stop_pad = len(stop_part) if stop_part.startswith('0') else None
                 if start_pad is not None and stop_pad is not None and start_pad != stop_pad:
                     raise ValueError("Inconsistent zero padding for start and stop ({} vs {}) of the numerical part. "
-                                     "Must be either the same on both sides or no padding on either "
-                                     "side".format(start_pad, stop_pad))
+                                     "Must be either the same on both sides or no padding on either side"
+                                     .format(start_pad, stop_pad))
                 elif start_pad is None and stop_pad is None:
                     r = [str(num) for num in rng]
                 else:
@@ -242,8 +242,7 @@ def _range_str_to_range(s, stack_depth=1):
 
 def _range_to_slice(seq, length=None):
     """
-    Returns a slice if possible (including for sequences of 1 element)
-    otherwise returns the input sequence itself
+    Returns a slice if possible (including for sequences of 1 element) otherwise returns the input sequence itself
 
     Parameters
     ----------
@@ -251,9 +250,8 @@ def _range_to_slice(seq, length=None):
         List, tuple or ndarray of integers representing the range.
         It should be something like [start, start+step, start+2*step, ...]
     length : int, optional
-        length of sequence of positions.
-        This is only useful when you must be able to transform decreasing
-        sequences which can stop at 0.
+        length of sequence of positions. This is only useful when you must be able to transform decreasing sequences
+        which can stop at 0.
 
     Returns
     -------
@@ -345,14 +343,11 @@ def _to_tick(v):
     any scalar
         scalar representing the tick
     """
-    # the fact that an "aggregated tick" is passed as a LGroup or as a
-    # string should be as irrelevant as possible. The thing is that we cannot
-    # (currently) use the more elegant _to_tick(e.key) that means the
-    # LGroup is not available in Axis.__init__ after to_ticks, and we
-    # need it to update the mapping if it was named. Effectively,
-    # this creates two entries in the mapping for a single tick. Besides,
-    # I like having the LGroup as the tick, as it provides extra info as
-    # to where it comes from.
+    # the fact that an "aggregated tick" is passed as a LGroup or as a string should be as irrelevant as possible.
+    # The thing is that we cannot (currently) use the more elegant _to_tick(e.key) that means the LGroup is not
+    # available in Axis.__init__ after to_ticks, and we need it to update the mapping if it was named. Effectively,
+    # this creates two entries in the mapping for a single tick. Besides, I like having the LGroup as the tick, as it
+    # provides extra info as to where it comes from.
     if np.isscalar(v):
         return v
     elif isinstance(v, Group):
@@ -371,9 +366,9 @@ def _to_tick(v):
 
 def _to_ticks(s):
     """
-    Makes a (list of) value(s) usable as the collection of labels for an
-    Axis (ie hashable). Strip strings, split them on ',' and translate
-    "range strings" to list of values **including the end point** !
+    Makes a (list of) value(s) usable as the collection of labels for an Axis (ie hashable).
+
+    Strip strings, split them on ',' and translate "range strings" to list of values **including the end point** !
 
     Parameters
     ----------
@@ -558,8 +553,7 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
             axis_bracket_open = m.end(1) - 1
             # check that the string parentheses are correctly balanced
             _ = find_closing_chr(v, axis_bracket_open)
-            # strip closing bracket (it should be at the end because we took
-            # care of the name earlier)
+            # strip closing bracket (it should be at the end because we took care of the name earlier)
             assert key[-1] == ']'
             key = key[:-1]
         if name is not None or axis is not None:
@@ -571,13 +565,13 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
     elif v is Ellipsis or np.isscalar(v) or isinstance(v, (Group, slice, list, np.ndarray, ABCLArray, OrderedSet)):
         return v
     else:
-        raise TypeError("%s has an invalid type (%s) for a key"
-                        % (v, type(v).__name__))
+        raise TypeError("%s has an invalid type (%s) for a key" % (v, type(v).__name__))
 
 
 def _to_keys(value, stack_depth=1):
     """
     Converts a (collection of) group(s) to a structure usable for indexing.
+
     'label' or ['l1', 'l2'] or [['l1', 'l2'], ['l3']]
 
     Parameters
@@ -642,8 +636,7 @@ def union(*args):
     Parameters
     ----------
     *args
-        (collection of) value(s) to be converted into label(s).
-        Repeated values are taken only once.
+        (collection of) value(s) to be converted into label(s). Repeated values are taken only once.
 
     Returns
     -------
@@ -681,10 +674,8 @@ def __getitem__(self, key):
         return PGroup(key, None, self.axis)
 
 
-# We need a separate class for LGroup and cannot simply create a
-# new Axis with a subset of values/ticks/labels: the subset of
-# ticks/labels of the LGroup need to correspond to its *Axis*
-# indices
+# We need a separate class for LGroup and cannot simply create a new Axis with a subset of values/ticks/labels:
+# the subset of ticks/labels of the LGroup need to correspond to its *Axis* indices
 class Group(object):
     """Abstract Group.
     """
@@ -697,25 +688,20 @@ def __init__(self, key, name=None, axis=None):
             key = key.to_label()
         self.key = remove_nested_groups(key)
 
-        # we do NOT assign a name automatically when missing because that
-        # makes it impossible to know whether a name was explicitly given or
-        # not
+        # we do NOT assign a name automatically when missing because that makes it impossible to know whether a name
+        # was explicitly given or not
         self.name = name
         assert axis is None or isinstance(axis, (basestring, int, ABCAxis)), \
             "invalid axis '%s' (%s)" % (axis, type(axis).__name__)
 
-        # we could check the key is valid but this can be slow and could be
-        # useless
-        # TODO: for performance reasons, we should cache the result. This will
-        # need to be invalidated correctly
+        # we could check the key is valid but this can be slow and could be useless
+        # TODO: for performance reasons, we should cache the result. This will need to be invalidated correctly
         # axis.translate(key)
 
-        # we store the Axis object and not its name like we did previously
-        # so that groups on anonymous axes are more meaningful and that we
-        # can iterate on a slice of an axis (an LGroup). The reason to store
-        # the name instead of the object was to make sure that a Group from an
-        # axis (or without axis) could be used on another axis with the same
-        # name. See test_array.py:test_...
+        # we store the Axis object and not its name like we did previously so that groups on anonymous axes are more
+        # meaningful and that we can iterate on a slice of an axis (an LGroup). The reason to store the name instead of
+        # the object was to make sure that a Group from an axis (or without axis) could be used on another axis with
+        # the same name. See test_array.py:test_...
         self.axis = axis
 
     def __repr__(self):
@@ -822,13 +808,13 @@ def __len__(self):
         # XXX: we probably want to_label instead of .eval (so that we do not expand slices)
         value = self.eval()
         # for some reason this breaks having LGroup ticks/labels on an axis
-        if hasattr(value, '__len__'):
         # if isinstance(value, (tuple, list, LArray, np.ndarray, str)):
+        if hasattr(value, '__len__'):
             return len(value)
         elif isinstance(value, slice):
             start, stop, key_step = value.start, value.stop, value.step
-            # not using stop - start because that does not work for string
-            # bounds (and it is different for LGroup & PGroup)
+            # not using stop - start because that does not work for string bounds
+            # (and it is different for LGroup & PGroup)
             start_pos = self.translate(start)
             stop_pos = self.translate(stop)
             return stop_pos - start_pos
@@ -881,8 +867,7 @@ def by(self, length, step=None):
 
         Notes
         -----
-        step can be smaller than length, in which case, this will produce
-        overlapping groups.
+        step can be smaller than length, in which case, this will produce overlapping groups.
 
         Returns
         -------
@@ -908,10 +893,9 @@ def by(self, length, step=None):
         return tuple(self[start:start + length]
                      for start in range(0, len(self), step))
 
-    # TODO: __getitem__ should work by label and .i[] should work by
-    # position. I guess it would be more consistent this way even if the
-    # usefulness of subsetting a group with labels is dubious (but
-    # it is sometimes practical to treat the group as if it was an axis).
+    # TODO: __getitem__ should work by label and .i[] should work by position. I guess it would be more consistent this
+    # way even if the usefulness of subsetting a group with labels is dubious (but it is sometimes practical to treat
+    # the group as if it was an axis).
     # >>> vla = geo['...']
     # >>> # first 10 regions of flanders (this could have some use)
     # >>> vla.i[:10]  # => PGroup on geo
@@ -939,8 +923,7 @@ def __getitem__(self, key):
         if isinstance(orig_key, (tuple, list)):
             return cls(orig_key[key], None, self.axis)
         elif isinstance(orig_key, slice):
-            orig_start, orig_stop, orig_step = \
-                orig_key.start, orig_key.stop, orig_key.step
+            orig_start, orig_stop, orig_step = orig_key.start, orig_key.stop, orig_key.step
             if orig_step is None:
                 orig_step = 1
 
@@ -952,18 +935,15 @@ def __getitem__(self, key):
 
                 orig_stop_pos = self.translate(orig_stop, stop=True) if orig_stop is not None else len(self)
                 new_start = orig_start_pos + key_start * orig_step
-                new_stop = min(orig_start_pos + key_stop * orig_step,
-                               orig_stop_pos)
+                new_stop = min(orig_start_pos + key_stop * orig_step, orig_stop_pos)
                 new_step = orig_step * key_step
                 if new_step == 1:
                     new_step = None
-                return PGroup(slice(new_start, new_stop, new_step), None,
-                              self.axis)
+                return PGroup(slice(new_start, new_stop, new_step), None, self.axis)
             elif isinstance(key, int):
                 return PGroup(orig_start_pos + key * orig_step, None, self.axis)
             elif isinstance(key, (tuple, list)):
-                return PGroup([orig_start_pos + k * orig_step for k in key],
-                              None, self.axis)
+                return PGroup([orig_start_pos + k * orig_step for k in key], None, self.axis)
         elif isinstance(orig_key, ABCLArray):
             return cls(orig_key.i[key], None, self.axis)
         elif isinstance(orig_key, int):
@@ -971,8 +951,7 @@ def __getitem__(self, key):
             value = self.eval()
             return value[key]
         else:
-            raise TypeError("cannot take a subset of {} because it has a "
-                            "'{}' key".format(self.key, type(self.key)))
+            raise TypeError("cannot take a subset of {} because it has a '{}' key".format(self.key, type(self.key)))
 
     def _ipython_key_completions_(self):
         return list(self.eval())
@@ -1159,14 +1138,12 @@ def __getattr__(self, key):
             return getattr(self.eval(), key)
 
     def __hash__(self):
-        # to_tick & to_key are partially opposite operations but this
-        # standardize on a single notation so that they can all target each
-        # other. eg, this removes spaces in "list strings", instead of
-        # hashing them directly
-        # XXX: but we might want to include that normalization feature in
-        #      to_tick directly, instead of using to_key explicitly here
-        # XXX: we might want to make hash use the position along the axis instead of the labels so that if an
-        #      axis has ambiguous labels, they do not hash to the same thing.
+        # to_tick & to_key are partially opposite operations but this standardize on a single notation so that they can
+        # all target each other. eg, this removes spaces in "list strings", instead of hashing them directly
+        # XXX: but we might want to include that normalization feature in to_tick directly, instead of using to_key
+        #      explicitly here
+        # XXX: we might want to make hash use the position along the axis instead of the labels so that if an axis has
+        #      ambiguous labels, they do not hash to the same thing.
         # XXX: for performance reasons, I think hash should not evaluate slices. It should only translate pos bounds to
         #      labels or vice versa. We would loose equality between list Groups and equivalent slice groups but that
         #      is a small price to pay if the performance impact is large.
@@ -1199,8 +1176,7 @@ class LGroup(Group):
     Parameters
     ----------
     key : key
-        Anything usable for indexing.
-        A key should be either sequence of labels, a slice with label bounds or a string.
+        Anything usable for indexing. A key should be either sequence of labels, a slice with label bounds or a string.
     name : str, optional
         Name of the group.
     axis : int, str, Axis, optional
@@ -1223,7 +1199,7 @@ def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         Group.__init__(self, key, name, axis)
 
-    #XXX: return PGroup instead?
+    # XXX: return PGroup instead?
     def translate(self, bound=None, stop=False):
         """
         compute position(s) of group
@@ -1260,8 +1236,7 @@ class LSet(LGroup):
     Parameters
     ----------
     key : key
-        Anything usable for indexing.
-        A key should be either sequence of labels, a slice with label bounds or a string.
+        Anything usable for indexing. A key should be either sequence of labels, a slice with label bounds or a string.
     name : str, optional
         Name of the set.
     axis : int, str, Axis, optional
@@ -1308,8 +1283,7 @@ def opmethod(self, other):
                 name = '%s %s %s' % (self.name, c, other.name)
             else:
                 name = None
-            # TODO: implement this in a more efficient way for ndarray keys
-            #       which can be large
+            # TODO: implement this in a more efficient way for ndarray keys which can be large
             result_set = getattr(self.key, op_fullname)(other.key)
             return LSet(result_set, name=name, axis=axis)
         opmethod.__name__ = op_fullname
@@ -1333,9 +1307,8 @@ class PGroup(Group):
     Parameters
     ----------
     key : key
-        Anything usable for indexing.
-        A key should be either a single position, a sequence of positions, or a slice with
-        integer bounds.
+        Anything usable for indexing. A key should be either a single position, a sequence of positions, or a slice
+        with integer bounds.
     name : str, optional
         Name of the group.
     axis : int, str, Axis, optional
diff --git a/larray/core/session.py b/larray/core/session.py
index d0fd4f217..8f30cb5c1 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -113,22 +113,19 @@ def __getitem__(self, key):
     def get(self, key, default=None):
         """
         Returns the array object corresponding to the key.
-        If the key doesn't correspond to any array object,
-        a default one can be returned.
+        If the key doesn't correspond to any array object, a default one can be returned.
 
         Parameters
         ----------
         key : str
             Name of the array.
         default : array, optional
-            Returned array if the key doesn't correspond
-            to any array of the current session.
+            Returned array if the key doesn't correspond to any array of the current session.
 
         Returns
         -------
         LArray
-            Array corresponding to the given key or
-            a default one if not found.
+            Array corresponding to the given key or a default one if not found.
 
         Examples
         --------
@@ -196,8 +193,7 @@ def load(self, fname, names=None, engine='auto', display=False, **kwargs):
             List of arrays to load. If `fname` is None, list of paths to CSV files.
             Defaults to all valid objects present in the file/directory.
         engine : {'auto', 'pandas_csv', 'pandas_hdf', 'pandas_excel', 'xlwings_excel', 'pickle'}, optional
-            Load using `engine`. Defaults to 'auto' (use default engine for
-            the format guessed from the file extension).
+            Load using `engine`. Defaults to 'auto' (use default engine for the format guessed from the file extension).
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
 
@@ -255,11 +251,10 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
             List of names of objects to dump. If `fname` is None, list of paths to CSV files.
             Defaults to all objects present in the Session.
         engine : {'auto', 'pandas_csv', 'pandas_hdf', 'pandas_excel', 'xlwings_excel', 'pickle'}, optional
-            Dump using `engine`. Defaults to 'auto' (use default engine for
-            the format guessed from the file extension).
+            Dump using `engine`. Defaults to 'auto' (use default engine for the format guessed from the file extension).
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any. Ignored for CSV files.
-            If False, file is updated. Defaults to True.
+            Whether or not to overwrite an existing file, if any. Ignored for CSV files. If False, file is updated.
+            Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
 
@@ -659,15 +654,13 @@ def __repr__(self):
     def __len__(self):
         return len(self._objects)
 
-    # binary operations are dispatched element-wise to all arrays
-    # (we consider Session as an array-like)
+    # binary operations are dispatched element-wise to all arrays (we consider Session as an array-like)
     def _binop(opname):
         opfullname = '__%s__' % opname
 
         def opmethod(self, other):
             self_keys = set(self.keys())
-            all_keys = list(self.keys()) + [n for n in other.keys() if
-                                            n not in self_keys]
+            all_keys = list(self.keys()) + [n for n in other.keys() if n not in self_keys]
             with np.errstate(call=_session_float_error_handler):
                 res = []
                 for name in all_keys:
@@ -710,12 +703,10 @@ def opmethod(self):
     __abs__ = _unaryop('abs')
     __invert__ = _unaryop('invert')
 
-    # XXX: use _binop (ie elementwise comparison instead of aggregating
-    #      directly?)
+    # XXX: use _binop (ie elementwise comparison instead of aggregating directly?)
     def __eq__(self, other):
         self_keys = set(self.keys())
-        all_keys = list(self.keys()) + [n for n in other.keys()
-                                        if n not in self_keys]
+        all_keys = list(self.keys()) + [n for n in other.keys() if n not in self_keys]
         res = [larray_nan_equal(self.get(key), other.get(key)) for key in all_keys]
         return LArray(res, [Axis(all_keys, 'name')])
 
@@ -778,8 +769,8 @@ def lenient_transpose(v, axes):
 
     def compact(self, display=False):
         """
-        Detects and removes "useless" axes (ie axes for which values are
-        constant over the whole axis) for all array objects in session
+        Detects and removes "useless" axes (ie axes for which values are constant over the whole axis) for all array
+        objects in session
 
         Parameters
         ----------
@@ -922,8 +913,7 @@ def local_arrays(depth=0):
     Parameters
     ----------
     depth: int
-        depth of call frame to inspect. 0 is where local_arrays was called,
-        1 the caller of local_arrays, etc.
+        depth of call frame to inspect. 0 is where local_arrays was called, 1 the caller of local_arrays, etc.
 
     Returns
     -------
diff --git a/larray/core/ufuncs.py b/larray/core/ufuncs.py
index fb74d7f46..9b211846e 100644
--- a/larray/core/ufuncs.py
+++ b/larray/core/ufuncs.py
@@ -50,25 +50,22 @@
 def broadcastify(func):
     # intentionally not using functools.wraps, because it does not work for wrapping a function from another module
     def wrapper(*args, **kwargs):
-        # TODO: normalize args/kwargs like in LIAM2 so that we can also
-        # broadcast if args are given via kwargs (eg out=)
+        # TODO: normalize args/kwargs like in LIAM2 so that we can also broadcast if args are given via kwargs
+        #       (eg out=)
         args, combined_axes = make_numpy_broadcastable(args)
 
-        # We pass only raw numpy arrays to the ufuncs even though numpy is
-        # normally meant to handle those case itself via __array_wrap__
+        # We pass only raw numpy arrays to the ufuncs even though numpy is normally meant to handle those case itself
+        # via __array_wrap__
 
-        # There is a problem with np.clip though (and possibly other ufuncs)
-        # np.clip is roughly equivalent to
+        # There is a problem with np.clip though (and possibly other ufuncs): np.clip is roughly equivalent to
         # np.maximum(np.minimum(np.asarray(la), high), low)
         # the np.asarray(la) is problematic because it lose original labels
         # and then tries to get them back from high, where they are possibly
         # incomplete if broadcasting happened
 
-        # It fails on "np.minimum(ndarray, LArray)" because it calls
-        # __array_wrap__(high, result) which cannot work if there was
-        # broadcasting involved (high has potentially less labels than result).
-        # it does this because numpy calls __array_wrap__ on the argument with
-        # the highest __array_priority__
+        # It fails on "np.minimum(ndarray, LArray)" because it calls __array_wrap__(high, result) which cannot work if
+        # there was broadcasting involved (high has potentially less labels than result).
+        # it does this because numpy calls __array_wrap__ on the argument with the highest __array_priority__
         raw_args = [np.asarray(a) if isinstance(a, LArray) else a
                     for a in args]
         res_data = func(*raw_args, **kwargs)
diff --git a/larray/example.py b/larray/example.py
index fc624ed56..7289d81b3 100644
--- a/larray/example.py
+++ b/larray/example.py
@@ -8,14 +8,15 @@
     'demography' : EXAMPLE_FILES_DIR + 'data.h5'
 }
 
+
 def load_example_data(name):
     """Load arrays used in the tutorial so that all examples in it can be reproduced.
 
     Parameters
     ----------
-    example_data : str
+    name : str
         Example data to load. Available example datasets are:
-        
+
         - demography
 
     Returns
@@ -46,6 +47,5 @@ def load_example_data(name):
     if not isinstance(name, str):
         raise TypeError("Expected string for argument example_data")
     if name not in AVAILABLE_EXAMPLE_DATA.keys():
-        raise ValueError("example_data must be chosen "
-                         "from list {}".format(list(AVAILABLE_EXAMPLE_DATA.keys())))
+        raise ValueError("example_data must be chosen from list {}".format(list(AVAILABLE_EXAMPLE_DATA.keys())))
     return la.Session(AVAILABLE_EXAMPLE_DATA[name])
diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index 34217d502..1e6430b2d 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -14,9 +14,8 @@ def badvalues(a, bad_filter):
 
 
 def f2str(f, threshold=2):
-    """Return string representation of floating point number f. Use scientific
-    notation if f would have more than threshold decimal digits, otherwise
-    use threshold as precision.
+    """Return string representation of floating point number f.
+    Use scientific notation if f would have more than threshold decimal digits, otherwise use threshold as precision.
 
     Parameters
     ----------
@@ -46,20 +45,18 @@ def warn_or_raise(what, msg):
         print("WARNING: {}".format(msg))
 
 
-def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabort=10,
-         nzvzs='raise', no_convergence='raise', display_progress=False):
-    """Apply Iterative Proportional Fitting Procedure (also known as
-    bi-proportional fitting in statistics, RAS algorithm in economics) to array
-    a, with target_sums as targets.
+def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabort=10, nzvzs='raise',
+         no_convergence='raise', display_progress=False):
+    """Apply Iterative Proportional Fitting Procedure (also known as bi-proportional fitting in statistics,
+    RAS algorithm in economics) to array a, with target_sums as targets.
 
     Parameters
     ----------
     target_sums : tuple/list of array-like
-        Target sums to achieve. First element must be the sum to achieve
-        along axis 0, the second the sum along axis 1, ...
+        Target sums to achieve.
+        First element must be the sum to achieve along axis 0, the second the sum along axis 1, ...
     a : array-like, optional
-        Starting values to fit, if not given starts with an array filled
-        with 1.
+        Starting values to fit, if not given starts with an array filled with 1.
     axes : list/tuple of axes, optional
         Axes on which the fitting procedure should be applied. Defaults to all axes.
     maxiter : int, optional
@@ -67,25 +64,22 @@ def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabo
     threshold : float, optional
         Threshold below which the result is deemed acceptable, defaults to 0.5.
     stepstoabort : int, optional
-        Number of consecutive steps with no improvement after which to abort.
-        Defaults to 10.
+        Number of consecutive steps with no improvement after which to abort. Defaults to 10.
     nzvzs : 'fix', 'warn' or 'raise', optional
         Behavior when detecting non zero values where the sum is zero
         'fix': set to zero (silently)
         'warn': set to zero and print a warning
         'raise': raise an exception (default)
     no_convergence : 'ignore', 'warn' or 'raise, optional
-        Behavior when the algorithm does not seem to converge. This
-        condition is triggered both when the maximum number of iteration is
-        reached or when the maximum absolute difference between the target and
-        the current sums does not improve for `stepstoabort` iterations.
+        Behavior when the algorithm does not seem to converge. This condition is triggered both when the maximum number
+        of iteration is reached or when the maximum absolute difference between the target and the current sums does
+        not improve for `stepstoabort` iterations.
         'ignore': return values computed up to that point (silently)
         'warn': return values computed up to that point and print a warning
         'raise': raise an exception (default)
     display_progress : False, True or 'condensed', optional
         Whether or not to display progress. Defaults to False.
-        If 'condensed' will display progress using a denser template (using one
-        line per iteration).
+        If 'condensed' will display progress using a denser template (using one line per iteration).
 
     Returns
     -------
@@ -185,9 +179,8 @@ def has_anonymous_axes(a):
         # [(4, 5), (3, 5), (3, 4)]
         # >>> (shapes[1][0],) + shapes[0]
         # (3, 4, 5)
-        # so, to reconstruct a.axes from target_sum axes, we need to take the
-        # first axis of the second target_sum and all axes from the first
-        # target_sum:
+        # so, to reconstruct a.axes from target_sum axes, we need to take the first axis of the second target_sum and
+        # all axes from the first target_sum:
         first_axis = target_sums[1].axes[0]
         other_axes = target_sums[0].axes
         all_axes = first_axis + other_axes
@@ -209,8 +202,8 @@ def has_anonymous_axes(a):
     for axis, axis_target_sum in zip(axes, target_sums):
         expected_axes = a.axes - axis
         if axis_target_sum.axes != expected_axes:
-            raise ValueError("axes of target sum along {} (axis {}) do not match corresponding array "
-                             "axes: got {} but expected {}. Are the target sums in the correct order?"
+            raise ValueError("axes of target sum along {} (axis {}) do not match corresponding array axes: "
+                             "got {} but expected {}. Are the target sums in the correct order?"
                              .format(axis.name, a.axes.index(axis), axis_target_sum.axes, expected_axes))
 
     axis0_total = target_sums[0].sum()
@@ -302,6 +295,5 @@ def has_anonymous_axes(a):
         lastdiffs.append(max_sum_diff)
 
     if no_convergence in {'warn', 'raise'}:
-        warn_or_raise(no_convergence,
-                      "maximum iteration reached ({})".format(maxiter))
+        warn_or_raise(no_convergence, "maximum iteration reached ({})".format(maxiter))
     return r
diff --git a/larray/io/array.py b/larray/io/array.py
index eaebdf464..44867e303 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -64,8 +64,7 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
     columns = sorted(df.columns) if sort_columns else list(df.columns)
     # the prodlen test is meant to avoid the more expensive array_equal test
     prodlen = np.prod([len(axis_labels) for axis_labels in labels])
-    if prodlen == len(df) and columns == list(df.columns) and \
-            np.array_equal(df.index.values, new_index.values):
+    if prodlen == len(df) and columns == list(df.columns) and np.array_equal(df.index.values, new_index.values):
         return df, labels
     return df.reindex(new_index, columns, **kwargs), labels
 
@@ -314,14 +313,12 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
     nb_index : int, optional
         Number of leading index columns (ex. 4). Defaults to 1.
     index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]).
-        Default to [0].
+        List of columns for the index (ex. [0, 1, 2, 3]). Default to [0].
     fill_value : scalar or LArray, optional
         Value used to fill cells corresponding to label combinations which are not present in the input.
         Defaults to NaN.
     sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
-        Defaults to False.
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
     sort_columns : bool, optional
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
@@ -367,8 +364,8 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
                            fill_value=fill_value)
 
 
-def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan,
-             sort_rows=False, sort_columns=False, **kwargs):
+def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan, sort_rows=False, sort_columns=False,
+             **kwargs):
     """
     Reads sas file and returns an LArray with the contents
         nb_index: number of leading index columns (e.g. 4)
@@ -379,7 +376,7 @@ def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.n
         fill_value = na
         warnings.warn("read_sas `na` argument has been renamed to `fill_value`. Please use that instead.",
                       FutureWarning, stacklevel=2)
-        
+
     if nb_index is not None and index_col is not None:
         raise ValueError("cannot specify both nb_index and index_col")
     elif nb_index is not None:
@@ -477,7 +474,7 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
 
     Examples
     --------
-    >>> # if one dimension array and default separator ' ', a - must be added in front of the data line  
+    >>> # if one dimension array and default separator ' ', a - must be added in front of the data line
     >>> from_string("sex  M  F\\n-  0  1")
     sex  M  F
          0  1
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 56354dc95..a21b788c7 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -56,7 +56,7 @@ def write_value(cls, value, options):
 
     LArrayConverter.register(LArray)
 
-    # TODO : replace overwrite_file by mode='r'|'w'|'a' the day xlwings will support a read-only mode
+    # TODO: replace overwrite_file by mode='r'|'w'|'a' the day xlwings will support a read-only mode
     class Workbook(object):
         def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
             """See open_excel doc for parameters"""
@@ -72,15 +72,13 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
             if isinstance(filepath, str):
                 basename, ext = os.path.splitext(filepath)
                 if ext:
-                    # XXX: we might want to be more precise than .xl* because
-                    #      I am unsure writing .xls (or anything other than
-                    #      .xlsx and .xlsm) would work
+                    # XXX: we might want to be more precise than .xl* because I am unsure writing .xls
+                    #     (or anything other than .xlsx and .xlsm) would work
                     if not ext.startswith('.xl'):
-                        raise ValueError("'%s' is not a supported file "
-                                         "extension" % ext)
+                        raise ValueError("'%s' is not a supported file extension" % ext)
                     if not os.path.isfile(filepath) and not overwrite_file:
-                        raise ValueError("File {} does not exist. Please give the path to an existing file "
-                                         "or set overwrite_file argument to True".format(filepath))
+                        raise ValueError("File {} does not exist. Please give the path to an existing file or set "
+                                         "overwrite_file argument to True".format(filepath))
                     if os.path.isfile(filepath) and overwrite_file:
                         os.remove(filepath)
                     if not os.path.isfile(filepath):
@@ -96,8 +94,8 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                 raise ValueError("to connect to the active workbook, one must use the 'active' Excel instance "
                                  "(app='active' or app=None)")
 
-            # unless explicitly set, app is set to visible for brand new or
-            # active book. For unsaved_book it is left intact.
+            # unless explicitly set, app is set to visible for brand new or active book.
+            # For unsaved_book it is left intact.
             if visible is None:
                 if filepath is None or filepath == -1:
                     visible = True
@@ -134,12 +132,10 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
             update_links_backup = app.api.AskToUpdateLinks
             display_alerts_backup = app.display_alerts
             if silent:
-                # try to update links silently instead of asking:
-                # "Update", "Don't Update", "Help"
+                # try to update links silently instead of asking: "Update", "Don't Update", "Help"
                 app.api.AskToUpdateLinks = False
 
-                # in case some links cannot be updated, continue instead of
-                # asking: "Continue" or "Edit Links..."
+                # in case some links cannot be updated, continue instead of asking: "Continue" or "Edit Links..."
                 app.display_alerts = False
 
             if filepath is None:
@@ -167,10 +163,8 @@ def __contains__(self, key):
                 length = len(self)
                 return -length <= key < length
             else:
-                # I would like to use:
-                # return key in wb.sheets
-                # but as of xlwings 0.10 wb.sheets.__contains__ does not work
-                # for sheet names (it works with Sheet objects I think)
+                # I would like to use: "return key in wb.sheets" but as of xlwings 0.10 wb.sheets.__contains__ does not
+                # work for sheet names (it works with Sheet objects I think)
                 return key in self.sheet_names()
 
         def _ipython_key_completions_(self):
@@ -301,10 +295,8 @@ def __getitem__(self, key):
 
             row, col = _concrete_key(key, self.shape)
             if isinstance(row, slice) or isinstance(col, slice):
-                row1, row2 = (row.start, row.stop) \
-                    if isinstance(row, slice) else (row, row + 1)
-                col1, col2 = (col.start, col.stop) \
-                    if isinstance(col, slice) else (col, col + 1)
+                row1, row2 = (row.start, row.stop) if isinstance(row, slice) else (row, row + 1)
+                col1, col2 = (col.start, col.stop) if isinstance(col, slice) else (col, col + 1)
                 return Range(self, (row1 + 1, col1 + 1), (row2, col2))
             else:
                 return Range(self, (row + 1, col + 1))
@@ -390,10 +382,8 @@ def _range_key_to_sheet_key(self, key):
             row_offset = self.xw_range.row1 - 1
             col_offset = self.xw_range.col1 - 1
             row, col = _concrete_key(key, self.xw_range.shape)
-            row = slice(row.start + row_offset, row.stop + row_offset) \
-                if isinstance(row, slice) else row + row_offset
-            col = slice(col.start + col_offset, col.stop + col_offset) \
-                if isinstance(col, slice) else col + col_offset
+            row = slice(row.start + row_offset, row.stop + row_offset) if isinstance(row, slice) else row + row_offset
+            col = slice(col.start + col_offset, col.stop + col_offset) if isinstance(col, slice) else col + col_offset
             return row, col
 
         # TODO: we can probably scrap this for xlwings 0.9+. We need to have
@@ -483,39 +473,32 @@ def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, a
         return Workbook(filepath, overwrite_file, visible, silent, app)
 else:
     def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
-        raise Exception("open_excel() is not available because xlwings "
-                        "is not installed")
+        raise Exception("open_excel() is not available because xlwings is not installed")
 
-open_excel.__doc__ = \
-"""
+open_excel.__doc__ = """
 Open an Excel workbook
 
 Parameters
 ----------
 filepath : None, int or str, optional
-    path to the Excel file. The file must exist if overwrite_file is False. 
-    Use None for a new blank workbook, -1 for the last active
-    workbook. Defaults to None.
+    path to the Excel file. The file must exist if overwrite_file is False. Use None for a new blank workbook,
+    -1 for the last active workbook. Defaults to None.
 overwrite_file : bool, optional
-    whether or not to overwrite an existing file, if any.
-    Defaults to False.
+    whether or not to overwrite an existing file, if any. Defaults to False.
 visible : None or bool, optional
-    whether or not Excel should be visible. Defaults to False for
-    files, True for new/active workbooks and to None ("unchanged")
-    for existing unsaved workbooks.
+    whether or not Excel should be visible. Defaults to False for files, True for new/active workbooks and to None
+    ("unchanged") for existing unsaved workbooks.
 silent : None or bool, optional
-    whether or not to show dialog boxes for updating links or
-    when some links cannot be updated. Defaults to False if
-    visible, True otherwise.
+    whether or not to show dialog boxes for updating links or when some links cannot be updated.
+    Defaults to False if visible, True otherwise.
 app : None, "new", "active", "global" or xlwings.App, optional
-    use "new" for opening a new Excel instance, "active" for the last active instance (including ones
-    opened by the user) and "global" to (re)use the same instance for all workbooks of a program. None is
-    equivalent to "active" if filepath is -1 and "global" otherwise. Defaults to None.
-
-    The "global" instance is a specific Excel instance for all input from/output to Excel from within a
-    single Python program (and should not interact with instances manually opened by the user or another
-    program).
-    
+    use "new" for opening a new Excel instance, "active" for the last active instance (including ones opened by the
+    user) and "global" to (re)use the same instance for all workbooks of a program. None is equivalent to "active" if
+    filepath is -1 and "global" otherwise. Defaults to None.
+
+    The "global" instance is a specific Excel instance for all input from/output to Excel from within a single Python
+    program (and should not interact with instances manually opened by the user or another program).
+
 Returns
 -------
 Excel workbook.
diff --git a/larray/io/session.py b/larray/io/session.py
index 167de5450..4c954923a 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -22,8 +22,7 @@ def check_pattern(k, pattern):
 
 class FileHandler(object):
     """
-    Abstract class defining the methods for
-    "file handler" subclasses.
+    Abstract class defining the methods for "file handler" subclasses.
 
     Parameters
     ----------
@@ -70,9 +69,7 @@ def close(self):
 
     def read_arrays(self, keys, *args, **kwargs):
         """
-        Reads file content (HDF, Excel, CSV, ...)
-        and returns a dictionary containing
-        loaded arrays.
+        Reads file content (HDF, Excel, CSV, ...) and returns a dictionary containing loaded arrays.
 
         Parameters
         ----------
@@ -114,8 +111,7 @@ def read_arrays(self, keys, *args, **kwargs):
 
     def dump_arrays(self, key_values, *args, **kwargs):
         """
-        Dumps arrays corresponds to keys in file
-        in HDF, Excel, CSV, ... format
+        Dumps arrays corresponds to keys in file in HDF, Excel, CSV, ... format
 
         Parameters
         ----------
diff --git a/larray/tests/common.py b/larray/tests/common.py
index ed4f2e67b..b5d1f0f3b 100644
--- a/larray/tests/common.py
+++ b/larray/tests/common.py
@@ -15,18 +15,14 @@ def abspath(relpath):
     """
     return os.path.join(TESTDATADIR, relpath)
 
-# XXX: maybe we should force value groups to use tuple and families (group of
-# groups to use lists, or vice versa, so that we know which is which)
-# or use a class, just for that?
-# group(a, b, c)
-# family(group(a), b, c)
+# XXX: maybe we should force value groups to use tuple and families (group of groups to use lists, or vice versa, so
+# that we know which is which) or use a class, just for that? group(a, b, c) vs family(group(a), b, c)
 
 
 def assert_equal_factory(test_func, check_shape=True, check_axes=True):
     def assert_equal(a, b):
         if isinstance(a, LArray) and isinstance(b, LArray) and a.axes != b.axes:
-            raise AssertionError("axes differ:\n%s\n\nvs\n\n%s"
-                                 % (a.axes.info, b.axes.info))
+            raise AssertionError("axes differ:\n%s\n\nvs\n\n%s" % (a.axes.info, b.axes.info))
         if not isinstance(a, (np.ndarray, LArray)):
             a = np.asarray(a)
         if not isinstance(b, (np.ndarray, LArray)):
@@ -35,10 +31,8 @@ def assert_equal(a, b):
             raise AssertionError("shapes differ: %s != %s" % (a.shape, b.shape))
         equal = test_func(a, b)
         if not equal.all():
-            # XXX: for some reason ndarray[bool_larray] does not work as we
-            #      would like, so we cannot do b[~equal] directly. I should
-            #      at least understand why this happens and fix this if
-            #      possible.
+            # XXX: for some reason ndarray[bool_larray] does not work as we would like, so we cannot do b[~equal]
+            #      directly. I should at least understand why this happens and fix this if possible.
             notequal = np.asarray(~equal)
             raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
     return assert_equal
@@ -52,7 +46,7 @@ def nan_equal(a, b):
     return (a == b) | (np.isnan(a) & np.isnan(b))
 
 
-# numpy.testing.assert_array_equal/assert_equal would work too but it does not
-# (as of numpy 1.10) display specifically the non equal items
+# numpy.testing.assert_array_equal/assert_equal would work too but it does not (as of numpy 1.10) display specifically
+# the non equal items
 assert_array_equal = assert_equal_factory(equal)
-assert_array_nan_equal = assert_equal_factory(nan_equal)
\ No newline at end of file
+assert_array_nan_equal = assert_equal_factory(nan_equal)
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index fe3556d03..624a42d20 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -63,10 +63,8 @@ def setUp(self):
         self.age = Axis('age=0..115')
         self.sex = Axis('sex=M,F')
 
-        vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,' \
-              'A43,A44,A45,A46,A71,A72,A73'
-        wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,' \
-              'A83,A84,A85,A91,A92,A93'
+        vla = 'A11,A12,A13,A23,A24,A31,A32,A33,A34,A35,A36,A37,A38,A41,A42,A43,A44,A45,A46,A71,A72,A73'
+        wal = 'A25,A51,A52,A53,A54,A55,A56,A57,A61,A62,A63,A64,A65,A81,A82,A83,A84,A85,A91,A92,A93'
         bru = 'A21'
         self.vla_str = vla
         self.wal_str = wal
@@ -81,16 +79,12 @@ def setUp(self):
 
         self.geo = Axis(self.belgium, 'geo')
 
-        self.array = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15) \
-                                                 .astype(float)
-        self.larray = LArray(self.array,
-                             axes=(self.age, self.geo, self.sex, self.lipro),
-                             title=self.title)
+        self.array = np.arange(116 * 44 * 2 * 15).reshape(116, 44, 2, 15).astype(float)
+        self.larray = LArray(self.array, axes=(self.age, self.geo, self.sex, self.lipro), title=self.title)
 
         self.small_title = 'small test array'
         self.small_data = np.arange(30).reshape(2, 15)
-        self.small = LArray(self.small_data, axes=(self.sex, self.lipro),
-                            title=self.small_title)
+        self.small = LArray(self.small_data, axes=(self.sex, self.lipro), title=self.small_title)
 
     def test_ndrange(self):
         arr = ndrange('a=a0..a2')
@@ -350,8 +344,7 @@ def test_getitem_guess_axis(self):
 
         # Ellipsis and LGroup
         assert_array_equal(la[..., 'P01,P05,P09'], raw[..., [0, 4, 8]])
-        assert_array_equal(la[..., ['P01', 'P05', 'P09']],
-                           raw[..., [0, 4, 8]])
+        assert_array_equal(la[..., ['P01', 'P05', 'P09']], raw[..., [0, 4, 8]])
 
         # LGroup without axis (which also needs to be guessed)
         g = LGroup(['P01', 'P05', 'P09'])
@@ -459,8 +452,7 @@ def test_getitem_abstract_positional(self):
         assert_array_equal(la[..., lipro159], raw[..., [0, 4, 8]])
 
         # key with duplicate axes
-        with self.assertRaisesRegexp(ValueError,
-                                     "key has several values for axis: age"):
+        with self.assertRaisesRegexp(ValueError, "key has several values for axis: age"):
             la[x.age.i[2, 3], x.age.i[1, 5]]
 
     def test_getitem_bool_larray_key(self):
@@ -514,8 +506,7 @@ def test_getitem_bool_anonymous_axes(self):
         self.assertEqual(res.ndim, 3)
         self.assertEqual(res.shape, (15, 2, 4))
 
-        # XXX: we might want to transpose the result to always move
-        # combined axes to the front
+        # XXX: we might want to transpose the result to always move combined axes to the front
         a = ndrange((2, 3, 4, 5))
         mask = ones(a.axes[1, 2], dtype=bool)
         res = a[mask]
@@ -633,10 +624,8 @@ def test_getitem_single_larray_key_guess(self):
     #     # k0:
     #     # [[0, 1, 0],
     #     #  [1, 0, 1]]
-    #     # TODO: [0, 1, 2] is enough in this case (thanks to broadcasting)
-    #     #       because in numpy missing dimensions are filled by adding
-    #     #       length 1 dimensions to the left. Ie it works because b is the
-    #     #       last dimension.
+    #     # TODO: [0, 1, 2] is enough in this case (thanks to broadcasting) because in numpy missing dimensions are
+    #     #       filled by adding length 1 dimensions to the left. Ie it works because b is the last dimension.
     #     # k1:
     #     # [[0, 1, 2],
     #     #  [0, 1, 2]]
@@ -745,16 +734,14 @@ def test_getitem_axis_object(self):
     def test_positional_indexer_getitem(self):
         raw = self.array
         la = self.larray
-        for key in [0, (0, 5, 1, 2), (slice(None), 5, 1), (0, 5), [1, 0],
-                    ([1, 0], 5)]:
+        for key in [0, (0, 5, 1, 2), (slice(None), 5, 1), (0, 5), [1, 0], ([1, 0], 5)]:
             assert_array_equal(la.i[key], raw[key])
         assert_array_equal(la.i[[1, 0], [5, 4]], raw[np.ix_([1, 0], [5, 4])])
         with self.assertRaises(IndexError):
             la.i[0, 0, 0, 0, 0]
 
     def test_positional_indexer_setitem(self):
-        for key in [0, (0, 2, 1, 2), (slice(None), 2, 1), (0, 2), [1, 0],
-                    ([1, 0], 2)]:
+        for key in [0, (0, 2, 1, 2), (slice(None), 2, 1), (0, 2), [1, 0], ([1, 0], 2)]:
             la = self.larray.copy()
             raw = self.array.copy()
             la.i[key] = 42
@@ -924,21 +911,20 @@ def test_setitem_larray(self):
         la2 = la.copy()
 
         with pytest.raises(ValueError, match="Value {!s} axis is not present in target subset {!s}. "
-                                             "A value can only have the same axes or fewer axes than the subset "\
+                                             "A value can only have the same axes or fewer axes than the subset "
                                              "being targeted".format(la2.axes - la['P01'].axes, la['P01'].axes)):
            la['P01'] = la2
 
         la2 = la.rename('sex', 'gender')
         with pytest.raises(ValueError, match="Value {!s} axis is not present in target subset {!s}. "
-                                             "A value can only have the same axes or fewer axes than the subset "\
+                                             "A value can only have the same axes or fewer axes than the subset "
                                              "being targeted".format(la2['P01'].axes - la['P01'].axes, la['P01'].axes)):
            la['P01'] = la2['P01']
 
     def test_setitem_ndarray(self):
         """
         tests LArray.__setitem__(key, value) where value is a raw ndarray.
-        In that case, value.shape is more restricted as we rely on
-        numpy broadcasting.
+        In that case, value.shape is more restricted as we rely on numpy broadcasting.
         """
         # a) value has exactly the same shape as the target slice
         la = self.larray.copy()
@@ -1112,12 +1098,10 @@ def test_filter(self):
         self.assertEqual(la.filter(lipro='P01,P02').shape, (116, 44, 2, 2))
 
         # multiple axes at once
-        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape,
-                         (3, 44, 2, 2))
+        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape, (3, 44, 2, 2))
 
         # multiple axes one after the other
-        self.assertEqual(la.filter(age=[1, 5, 9]).filter(lipro='P01,P02').shape,
-                         (3, 44, 2, 2))
+        self.assertEqual(la.filter(age=[1, 5, 9]).filter(lipro='P01,P02').shape, (3, 44, 2, 2))
 
         # a single value for one dimension => collapse the dimension
         self.assertEqual(la.filter(sex='M').shape, (116, 44, 15))
@@ -1128,8 +1112,7 @@ def test_filter(self):
         self.assertEqual(la.filter(sex='M,').shape, (116, 44, 1, 15))
 
         # with duplicate keys
-        # XXX: do we want to support this? I don't see any value in that but
-        # I might be short-sighted.
+        # XXX: do we want to support this? I don't see any value in that but I might be short-sighted.
         # filtered = la.filter(lipro='P01,P02,P01')
 
         # XXX: we could abuse python to allow naming groups via Axis.__getitem__
@@ -1147,35 +1130,27 @@ def test_filter(self):
         self.assertEqual(la.filter(age=slice(17)).shape, (18, 44, 2, 15))
 
         # filter chain with a slice
-        self.assertEqual(la.filter(age=slice(17)).filter(geo='A12,A13').shape,
-                         (18, 2, 2, 15))
+        self.assertEqual(la.filter(age=slice(17)).filter(geo='A12,A13').shape, (18, 2, 2, 15))
 
     def test_filter_multiple_axes(self):
         la = self.larray
 
         # multiple values in each group
-        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape,
-                         (3, 44, 2, 2))
+        self.assertEqual(la.filter(age=[1, 5, 9], lipro='P01,P02').shape, (3, 44, 2, 2))
         # with a group of one value
-        self.assertEqual(la.filter(age=[1, 5, 9], sex='M,').shape,
-                         (3, 44, 1, 15))
+        self.assertEqual(la.filter(age=[1, 5, 9], sex='M,').shape, (3, 44, 1, 15))
 
         # with a discarded axis (there is a scalar in the key)
         self.assertEqual(la.filter(age=[1, 5, 9], sex='M').shape, (3, 44, 15))
 
-        # with a discarded axis that is not adjacent to the ix_array axis
-        # ie with a sliced axis between the scalar axis and the ix_array axis
-        # since our array has a axes: age, geo, sex, lipro, any of the
-        # following should be tested: age+sex / age+lipro / geo+lipro
-        # additionally, if the ix_array axis was first (ie ix_array on age),
-        # it worked even before the issue was fixed, since the "indexing"
-        # subspace is tacked-on to the beginning (as the first dimension)
-        self.assertEqual(la.filter(age=57, sex='M,F').shape,
-                         (44, 2, 15))
-        self.assertEqual(la.filter(age=57, lipro='P01,P05').shape,
-                         (44, 2, 2))
-        self.assertEqual(la.filter(geo='A57', lipro='P01,P05').shape,
-                         (116, 2, 2))
+        # with a discarded axis that is not adjacent to the ix_array axis ie with a sliced axis between the scalar axis
+        # and the ix_array axis since our array has a axes: age, geo, sex, lipro, any of the following should be tested:
+        # age+sex / age+lipro / geo+lipro
+        # additionally, if the ix_array axis was first (ie ix_array on age), it worked even before the issue was fixed,
+        # since the "indexing" subspace is tacked-on to the beginning (as the first dimension)
+        self.assertEqual(la.filter(age=57, sex='M,F').shape, (44, 2, 15))
+        self.assertEqual(la.filter(age=57, lipro='P01,P05').shape, (44, 2, 2))
+        self.assertEqual(la.filter(geo='A57', lipro='P01,P05').shape, (116, 2, 2))
 
     def test_sum_full_axes(self):
         la = self.larray
@@ -1220,8 +1195,7 @@ def test_sum_full_axes_with_nan(self):
         assert_array_nan_equal(la.sum(x.age, skipna=False), raw.sum(0))
 
         assert_array_nan_equal(la.sum(x.age, x.sex), np.nansum(raw, (0, 2)))
-        assert_array_nan_equal(la.sum(x.age, x.sex, skipna=False),
-                               raw.sum((0, 2)))
+        assert_array_nan_equal(la.sum(x.age, x.sex, skipna=False), raw.sum((0, 2)))
 
     def test_sum_full_axes_keep_axes(self):
         la = self.larray
@@ -1269,12 +1243,9 @@ def test_median_groups(self):
     def test_percentile_full_axes(self):
         arr = ndtest((2, 3, 4))
         raw = arr.data
-        self.assertEqual(arr.percentile(10),
-                         np.percentile(raw, 10))
-        assert_array_nan_equal(arr.percentile(10, x.a),
-                               np.percentile(raw, 10, 0))
-        assert_array_nan_equal(arr.percentile(10, x.c, x.a),
-                               np.percentile(raw, 10, (2, 0)))
+        self.assertEqual(arr.percentile(10), np.percentile(raw, 10))
+        assert_array_nan_equal(arr.percentile(10, x.a), np.percentile(raw, 10, 0))
+        assert_array_nan_equal(arr.percentile(10, x.c, x.a), np.percentile(raw, 10, (2, 0)))
 
     def test_percentile_groups(self):
         arr = ndtest((2, 5, 3))
@@ -1330,25 +1301,25 @@ def test_group_agg_kwargs(self):
         # string groups
         self.assertEqual(la.sum(geo=(vla, wal, bru)).shape, (116, 3, 2, 15))
         # with one label in several groups
-        self.assertEqual(la.sum(sex=(['M'], ['M', 'F'])).shape,
-                         (116, 44, 2, 15))
+        self.assertEqual(la.sum(sex=(['M'], ['M', 'F'])).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum(sex=('M', 'M,F')).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum(sex='M;M,F').shape, (116, 44, 2, 15))
 
-        aggregated = la.sum(geo=(vla, wal, bru, belgium))
-        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+        res = la.sum(geo=(vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        self.assertEqual(la.sum(lipro='P01,P03;P02,P05;:', geo=(vla, wal, bru, belgium)).shape, (116, 4, 2, 3))
+        res = la.sum(lipro='P01,P03;P02,P05;:', geo=(vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 3))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, geo=(vla, wal, bru, belgium)).shape, (4, 15))
+        # Note that you must list "full axes" aggregates first (Python does not allow non-kwargs after kwargs.
+        res = la.sum(age, sex, geo=(vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
-        reg = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
-        self.assertEqual(reg.shape, (4, 15))
+        res = la.sum(age, sex).sum(geo=(vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
     def test_group_agg_guess_axis(self):
         la = self.larray
@@ -1384,10 +1355,9 @@ def test_group_agg_guess_axis(self):
         # string groups
         self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
 
-        # XXX: do we also want to support this? I do not really like it because
-        # it gets tricky when we have some other axes into play. For now the
-        # error message is unclear because it first aggregates on "vla", then
-        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # XXX: do we also want to support this? I do not really like it because it gets tricky when we have some other
+        # axes into play. For now the error message is unclear because it first aggregates on "vla", then tries to
+        # aggregate on "wal", but there is no "geo" dimension anymore.
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
@@ -1412,23 +1382,20 @@ def test_group_agg_guess_axis(self):
         assert_array_equal(res['men'], raw[:, :, 0, :])
         assert_array_equal(res['all'], raw.sum(2))
 
-        aggregated = la.sum((vla, wal, bru, belgium))
-        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+        res = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        self.assertEqual(la.sum('P01,P03;P02,P05;P01:',
-                                (vla, wal, bru, belgium)).shape,
-                         (116, 4, 2, 3))
+        res = la.sum('P01,P03;P02,P05;P01:', (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 3))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
-                         (4, 15))
+        res = la.sum(age, sex, (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
-        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
-        self.assertEqual(reg.shape, (4, 15))
+        res = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
     def test_group_agg_label_group(self):
         la = self.larray
@@ -1455,9 +1422,8 @@ def test_group_agg_label_group(self):
         self.assertEqual(la.sum(geo[':']).shape, (116, 2, 15))
         self.assertEqual(la.sum(geo[:]).shape, (116, 2, 15))
 
-        # Include everything between two labels. Since A11 is the first label
-        # and A21 is the last one, this should be equivalent to the previous
-        # tests.
+        # Include everything between two labels. Since A11 is the first label and A21 is the last one, this should be
+        # equivalent to the previous tests.
         self.assertEqual(la.sum(geo['A11:A21']).shape, (116, 2, 15))
         assert_array_equal(la.sum(geo['A11:A21']), la.sum(geo))
         assert_array_equal(la.sum(geo['A11':'A21']), la.sum(geo))
@@ -1469,47 +1435,39 @@ def test_group_agg_label_group(self):
         # string groups
         self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
 
-        # XXX: do we also want to support this? I do not really like it because
-        # it gets tricky when we have some other axes into play. For now the
-        # error message is unclear because it first aggregates on "vla", then
-        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # XXX: do we also want to support this? I do not really like it because it gets tricky when we have some other
+        # axes into play. For now the error message is unclear because it first aggregates on "vla", then tries to
+        # aggregate on "wal", but there is no "geo" dimension anymore.
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape,
-                         (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape,
-                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum((sex['M'], sex['M,F'])).shape, (116, 44, 2, 15))
         # XXX: do we want to support this?
         # self.assertEqual(la.sum(sex['M;H,F']).shape, (116, 44, 2, 15))
 
-        aggregated = la.sum((vla, wal, bru, belgium))
-        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+        res = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
-        #                         (vla, wal, bru, belgium)).shape,
+        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'], (vla, wal, bru, belgium)).shape,
         #                  (116, 4, 2, 3))
-        self.assertEqual(la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]),
-                                (vla, wal, bru, belgium)).shape,
-                         (116, 4, 2, 3))
+        res = la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]), (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 3))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
-                         (4, 15))
+        res = la.sum(age, sex, (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
-        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
-        self.assertEqual(reg.shape, (4, 15))
+        res = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
     def test_group_agg_label_group_no_axis(self):
         la = self.larray
         age, geo, sex, lipro = la.axes
-        vla, wal, bru = \
-            LGroup(self.vla_str), LGroup(self.wal_str), LGroup(self.bru_str)
+        vla, wal, bru = LGroup(self.vla_str), LGroup(self.wal_str), LGroup(self.bru_str)
         belgium = LGroup(self.belgium)
 
         # a) group aggregate on a fresh array
@@ -1521,8 +1479,7 @@ def test_group_agg_label_group_no_axis(self):
         self.assertEqual(la.sum(LGroup('M,F')).shape, (116, 44, 15))
 
         self.assertEqual(la.sum(LGroup('A11,A21,A25')).shape, (116, 2, 15))
-        self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape,
-                         (116, 2, 15))
+        self.assertEqual(la.sum(LGroup(['A11', 'A21', 'A25'])).shape, (116, 2, 15))
 
         # Include everything between two labels. Since A11 is the first label
         # and A21 is the last one, this should be equivalent to the full axis.
@@ -1534,40 +1491,33 @@ def test_group_agg_label_group_no_axis(self):
         # string groups
         self.assertEqual(la.sum((vla, wal, bru)).shape, (116, 3, 2, 15))
 
-        # XXX: do we also want to support this? I do not really like it because
-        # it gets tricky when we have some other axes into play. For now the
-        # error message is unclear because it first aggregates on "vla", then
-        # tries to aggregate on "wal", but there is no "geo" dimension anymore.
+        # XXX: do we also want to support this? I do not really like it because it gets tricky when we have some other
+        # axes into play. For now the error message is unclear because it first aggregates on "vla", then tries to
+        # aggregate on "wal", but there is no "geo" dimension anymore.
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((LGroup('M'), LGroup(['M', 'F']))).shape,
-                         (116, 44, 2, 15))
-        self.assertEqual(la.sum((LGroup('M'), LGroup('M,F'))).shape,
-                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((LGroup('M'), LGroup(['M', 'F']))).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum((LGroup('M'), LGroup('M,F'))).shape, (116, 44, 2, 15))
         # XXX: do we want to support this?
         # self.assertEqual(la.sum(sex['M;M,F']).shape, (116, 44, 2, 15))
 
-        aggregated = la.sum((vla, wal, bru, belgium))
-        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+        res = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
-        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
-        #                         (vla, wal, bru, belgium)).shape,
+        # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'], (vla, wal, bru, belgium)).shape,
         #                  (116, 4, 2, 3))
-        self.assertEqual(la.sum((LGroup('P01,P03'), LGroup('P02,P05')),
-                                (vla, wal, bru, belgium)).shape,
-                         (116, 4, 2, 2))
+        res = la.sum((LGroup('P01,P03'), LGroup('P02,P05')), (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 2))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
-                         (4, 15))
+        res = la.sum(age, sex, (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
-        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
-        self.assertEqual(reg.shape, (4, 15))
+        res = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
     def test_group_agg_axis_ref_label_group(self):
         la = self.larray
@@ -1615,34 +1565,29 @@ def test_group_agg_axis_ref_label_group(self):
         # self.assertEqual(la.sum(vla, wal, bru).shape, (116, 3, 2, 15))
 
         # with one label in several groups
-        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape,
-                         (116, 44, 2, 15))
-        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape,
-                         (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex[['M', 'F']])).shape, (116, 44, 2, 15))
+        self.assertEqual(la.sum((sex['M'], sex['M', 'F'])).shape, (116, 44, 2, 15))
         self.assertEqual(la.sum((sex['M'], sex['M,F'])).shape, (116, 44, 2, 15))
         # XXX: do we want to support this?
         # self.assertEqual(la.sum(sex['M;M,F']).shape, (116, 44, 2, 15))
 
-        aggregated = la.sum((vla, wal, bru, belgium))
-        self.assertEqual(aggregated.shape, (116, 4, 2, 15))
+        res = la.sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 15))
 
         # a.4) several dimensions at the same time
         # self.assertEqual(la.sum(lipro['P01,P03;P02,P05;P01:'],
         #                         (vla, wal, bru, belgium)).shape,
         #                  (116, 4, 2, 3))
-        self.assertEqual(la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]),
-                                (vla, wal, bru, belgium)).shape,
-                         (116, 4, 2, 3))
+        res = la.sum((lipro['P01,P03'], lipro['P02,P05'], lipro[:]), (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (116, 4, 2, 3))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
-        self.assertEqual(la.sum(age, sex, (vla, wal, bru, belgium)).shape,
-                         (4, 15))
+        res = la.sum(age, sex, (vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
         # c) chain group aggregate after axis aggregate
-        reg = la.sum(age, sex).sum((vla, wal, bru, belgium))
-        self.assertEqual(reg.shape, (4, 15))
+        res = la.sum(age, sex).sum((vla, wal, bru, belgium))
+        self.assertEqual(res.shape, (4, 15))
 
     def test_group_agg_one_axis(self):
         a = Axis(range(3), 'a')
@@ -1708,8 +1653,7 @@ def test_group_agg_on_group_agg(self):
         # this is currently allowed even though it can be confusing:
         # P01 and P02 are both groups with one element each.
         self.assertEqual(reg.sum(lipro=('P01', 'P02', ':')).shape, (4, 3))
-        self.assertEqual(reg.sum(lipro=('P01', 'P02', lipro[:])).shape,
-                         (4, 3))
+        self.assertEqual(reg.sum(lipro=('P01', 'P02', lipro[:])).shape, (4, 3))
 
         # explicit groups are better
         self.assertEqual(reg.sum(lipro=('P01,', 'P02,', ':')).shape, (4, 3))
@@ -1749,8 +1693,7 @@ def test_group_agg_on_group_agg_nokw(self):
         # this is currently allowed even though it can be confusing:
         # P01 and P02 are both groups with one element each.
         self.assertEqual(reg.sum(('P01', 'P02', 'P01:')).shape, (4, 3))
-        self.assertEqual(reg.sum(('P01', 'P02', lipro[:])).shape,
-                         (4, 3))
+        self.assertEqual(reg.sum(('P01', 'P02', lipro[:])).shape, (4, 3))
 
         # explicit groups are better
         self.assertEqual(reg.sum(('P01,', 'P02,', 'P01:')).shape, (4, 3))
@@ -1894,8 +1837,7 @@ def test_sum_several_lg_groups(self):
 
         # b) by string (name of groups)
         self.assertEqual(reg.filter(geo='Flanders').shape, (116, 2, 15))
-        self.assertEqual(reg.filter(geo='Flanders,Wallonia').shape,
-                         (116, 2, 2, 15))
+        self.assertEqual(reg.filter(geo='Flanders,Wallonia').shape, (116, 2, 2, 15))
 
         # using string groups
         reg = la.sum(geo=(self.vla_str, self.wal_str, self.bru_str))
@@ -1903,13 +1845,11 @@ def test_sum_several_lg_groups(self):
         # the result is indexable
         # a) by string (def)
         self.assertEqual(reg.filter(geo=self.vla_str).shape, (116, 2, 15))
-        self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape,
-                         (116, 2, 2, 15))
+        self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape, (116, 2, 2, 15))
 
         # b) by LGroup
         self.assertEqual(reg.filter(geo=self.vla_str).shape, (116, 2, 15))
-        self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape,
-                         (116, 2, 2, 15))
+        self.assertEqual(reg.filter(geo=(self.vla_str, self.wal_str)).shape, (116, 2, 2, 15))
 
     def test_sum_with_groups_from_other_axis(self):
         small = self.small
@@ -1928,9 +1868,7 @@ def test_sum_with_groups_from_other_axis(self):
         # use a group (from another axis) which is incompatible with the axis of
         # the same name in the array
         lipro4 = Axis('lipro=P01,P03,P16')
-        with self.assertRaisesRegexp(ValueError,
-                                     "lipro\['P01', 'P16'\] is not a valid "
-                                     "label for any axis"):
+        with self.assertRaisesRegexp(ValueError, "lipro\['P01', 'P16'\] is not a valid label for any axis"):
             small.sum(lipro4['P01,P16'])
 
     def test_agg_kwargs(self):
@@ -1988,12 +1926,10 @@ def test_agg_by(self):
         # a.4) several dimensions at the same time
         res = la.sum_by(geo=(vla, wal, bru, belgium), lipro='P01,P03;P02,P05;:')
         self.assertEqual(res.shape, (4, 3))
-        assert_array_equal(res, la.sum(age, sex, geo=(vla, wal, bru, belgium),
-                                       lipro='P01,P03;P02,P05;:'))
+        assert_array_equal(res, la.sum(age, sex, geo=(vla, wal, bru, belgium), lipro='P01,P03;P02,P05;:'))
 
         # b) both axis aggregate and group aggregate at the same time
-        # Note that you must list "full axes" aggregates first (Python does
-        # not allow non-kwargs after kwargs.
+        # Note that you must list "full axes" aggregates first (Python does not allow non-kwargs after kwargs.
         res = la.sum_by(sex, geo=(vla, wal, bru, belgium))
         self.assertEqual(res.shape, (4, 2))
         assert_array_equal(res, la.sum(age, lipro, geo=(vla, wal, bru, belgium)))
@@ -2084,13 +2020,12 @@ def test_total(self):
 
         self.assertEqual(la.with_total(geo=(fla, wal, bru), op=mean).shape, (116, 47, 2, 15))
         self.assertEqual(la.with_total((fla, wal, bru), op=mean).shape, (116, 47, 2, 15))
-        # works but "wrong" for x.geo (double what is expected because it
-        # includes fla wal & bru)
-        # TODO: we probably want to display a warning (or even an error?) in
-        #       that case. If we really want that behavior, we can still split
-        #       the operation: .with_total((fla, wal, bru)).with_total(x.geo)
-        # OR we might want to only sum the axis as it was before the op (but
-        #    that does not play well when working with multiple axes).
+        # works but "wrong" for x.geo (double what is expected because it includes fla wal & bru)
+        # TODO: we probably want to display a warning (or even an error?) in that case.
+        # If we really want that behavior, we can still split the operation:
+        # .with_total((fla, wal, bru)).with_total(x.geo)
+        # OR we might want to only sum the axis as it was before the op (but that does not play well when working with
+        #    multiple axes).
         a1 = la.with_total(x.sex, (fla, wal, bru), x.geo, x.lipro)
         self.assertEqual(a1.shape, (116, 48, 3, 16))
 
@@ -2137,9 +2072,8 @@ def test_transpose_anonymous(self):
         # a real union should not care and should return
         # self[1, 2, 0] but will this break other stuff? My gut feeling is yes
 
-        # when doing a binop between anonymous axes, we use union too (that
-        # might be the problem) and we need *that* union to match axes by
-        # position
+        # when doing a binop between anonymous axes, we use union too (that might be the problem) and we need *that*
+        # union to match axes by position
         reordered = a.transpose(1, 2)
         self.assertEqual(reordered.shape, (3, 4, 2))
 
@@ -2250,8 +2184,7 @@ def test_binary_ops_no_name_axes(self):
         assert_array_equal(la_int / 2, raw_int / 2)
         assert_array_equal(la_int // 2, raw_int // 2)
 
-        # adding two larrays with different axes order cannot work with
-        # unnamed axes
+        # adding two larrays with different axes order cannot work with unnamed axes
         # assert_array_equal(la + la.transpose(), raw * 2)
 
         # mixed operations
@@ -2291,16 +2224,14 @@ def test_broadcasting_no_name(self):
         self.assertTrue(np.array_equal(d, [[0, 0, 0],
                                            [3, 4, 5]]))
 
-        # it is unfortunate that the behavior is different from numpy
-        # (even though I find our behavior more intuitive)
+        # it is unfortunate that the behavior is different from numpy (even though I find our behavior more intuitive)
         d = np.asarray(a) * np.asarray(b)
         self.assertEqual(d.shape, (2, 3))
         self.assertTrue(np.array_equal(d, [[0, 1,  4],
                                            [0, 4, 10]]))
 
         with self.assertRaises(ValueError):
-            # ValueError: operands could not be broadcast together with shapes
-            # (2,3) (2,)
+            # ValueError: operands could not be broadcast together with shapes (2,3) (2,)
             np.asarray(a) * np.asarray(c)
 
     def test_unary_ops(self):
@@ -2343,12 +2274,10 @@ def test_replace_axes(self):
         # replace one axis
         la2 = self.small.set_axes(x.lipro, lipro2)
         assert_array_equal(la, la2)
-        self.assertEqual(la.title, la2.title, "title of array returned by "
-                                              "replace_axes should be the same as the original one. "
-                                              "We got '{}' instead of '{}'".format(la2.title, la.title))
+        self.assertEqual(la.title, la2.title, "title of array returned by replace_axes should be the same as the "
+                                              "original one. We got '{}' instead of '{}'".format(la2.title, la.title))
 
-        la = LArray(self.small_data, axes=(sex2, lipro2),
-                    title=self.small_title)
+        la = LArray(self.small_data, axes=(sex2, lipro2), title=self.small_title)
         # all at once
         la2 = self.small.set_axes([sex2, lipro2])
         assert_array_equal(la, la2)
@@ -2626,7 +2555,8 @@ def test_to_csv(self):
             self.assertEqual(f.readlines()[:3], result)
 
         la.to_csv(abspath('out.csv'), transpose=False)
-        result = ['arr,age,sex,nat,time,0\n', '1,0,F,1,2007,3722\n',
+        result = ['arr,age,sex,nat,time,0\n',
+                  '1,0,F,1,2007,3722\n',
                   '1,0,F,1,2010,3395\n']
         with open(abspath('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
@@ -2911,10 +2841,9 @@ def test_open_excel(self):
 
             # Sheet1/A1(transposed)
             # FIXME: we need to .dump(header=False) explicitly because otherwise we go via LArrayConverter which
-            #        includes labels.
-            #        for consistency's sake we should either change LArrayConverter to not include labels, or
-            #        change wb[0] = a1 to include them (and use wb[0] = a1.data to avoid them?) but that would be
-            #        heavily backward incompatible and how would I load them back?
+            #        includes labels. for consistency's sake we should either change LArrayConverter to not include
+            #        labels, or change wb[0] = a1 to include them (and use wb[0] = a1.data to avoid them?) but that
+            #        would be heavily backward incompatible and how would I load them back?
             # wb[0]['A1'].options(transpose=True).value = a1
             wb[0]['A1'].options(transpose=True).value = a1.dump(header=False)
             res = wb[0]['A1:A3'].load(header=False)
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index ff373bb83..1352a6990 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -96,8 +96,7 @@ def test_hash(self):
 
     def test_repr(self):
         self.assertEqual(repr(self.slice_both_named_wh_named_axis), "age[1:5] >> 'full'")
-        self.assertEqual(repr(self.slice_both_named),
-                         "LGroup(slice(1, 5, None)) >> 'named'")
+        self.assertEqual(repr(self.slice_both_named), "LGroup(slice(1, 5, None)) >> 'named'")
         self.assertEqual(repr(self.slice_both), "LGroup(slice(1, 5, None))")
         self.assertEqual(repr(self.list), "LGroup(['P01', 'P03', 'P04'])")
         self.assertEqual(repr(self.slice_none_no_axis), "LGroup(slice(None, None, None))")
@@ -158,8 +157,7 @@ def test_or(self):
 
     def test_and(self):
         # without axis
-        self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']),
-                         LSet(['c']))
+        self.assertEqual(LSet(['a', 'b', 'c']) & LSet(['c', 'd']), LSet(['c']))
         # with axis & name
         alpha = Axis('alpha=a,b,c,d')
         res = alpha['a', 'b', 'c'].named('abc').set() & alpha['c', 'd'].named('cd')
@@ -168,12 +166,9 @@ def test_and(self):
         self.assertEqual(res, alpha[['c']].set())
 
     def test_sub(self):
-        self.assertEqual(LSet(['a', 'b', 'c']) - LSet(['c', 'd']),
-                         LSet(['a', 'b']))
-        self.assertEqual(LSet(['a', 'b', 'c']) - ['c', 'd'],
-                         LSet(['a', 'b']))
-        self.assertEqual(LSet(['a', 'b', 'c']) - 'b',
-                         LSet(['a', 'c']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - LSet(['c', 'd']), LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - ['c', 'd'], LSet(['a', 'b']))
+        self.assertEqual(LSet(['a', 'b', 'c']) - 'b', LSet(['a', 'c']))
         self.assertEqual(LSet([1, 2, 3]) - 4, LSet([1, 2, 3]))
         self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
 
diff --git a/larray/util/misc.py b/larray/util/misc.py
index 8f3b05aca..4c8972751 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -101,8 +101,8 @@ def get_min_width(table, index):
     return max(longest_word(row[index]) for row in table)
 
 
-def table2str(table, missing, fullinfo=False, summarize=True,
-              maxwidth=80, numedges='auto', sep='  ', cont='...', keepcols=0):
+def table2str(table, missing, fullinfo=False, summarize=True, maxwidth=80, numedges='auto', sep='  ', cont='...',
+              keepcols=0):
     """
     table is a list of lists
     :type table: list of list
@@ -158,8 +158,7 @@ def table2str(table, missing, fullinfo=False, summarize=True,
 
     lines = []
     for row in formatted:
-        wrapped_row = [wrap(value, width)
-                       for value, width in zip(row, colwidths)]
+        wrapped_row = [wrap(value, width) for value, width in zip(row, colwidths)]
         maxlines = max(len(value) for value in wrapped_row)
         newlines = [[] for _ in range(maxlines)]
         for value, width in zip(wrapped_row, colwidths):
@@ -173,8 +172,7 @@ def table2str(table, missing, fullinfo=False, summarize=True,
 # copied from itertools recipes
 def unique(iterable):
     """
-    Yields all elements once, preserving order. Remember all elements ever
-    seen.
+    Yields all elements once, preserving order. Remember all elements ever seen.
     >>> list(unique('AAAABBBCCDAABBB'))
     ['A', 'B', 'C', 'D']
     """
@@ -188,8 +186,7 @@ def unique(iterable):
 
 def unique_list(iterable, res=None, seen=None):
     """
-    Returns a list of all unique elements, preserving order. Remember all
-    elements ever seen.
+    Returns a list of all unique elements, preserving order. Remember all elements ever seen.
     >>> unique_list('AAAABBBCCDAABBB')
     ['A', 'B', 'C', 'D']
     """
@@ -208,8 +205,7 @@ def unique_list(iterable, res=None, seen=None):
 
 def duplicates(iterable):
     """
-    List duplicated elements once, preserving order. Remember all elements ever
-    seen.
+    List duplicated elements once, preserving order. Remember all elements ever seen.
     """
     # duplicates('AAAABBBCCDAABBB') --> A B C
     counts = defaultdict(int)
@@ -277,13 +273,11 @@ def array_lookup(array, mapping):
     sorted_keys, sorted_values = tuple(zip(*sorted(mapping.items())))
     sorted_keys = np.array(sorted_keys)
     # prevent an array of booleans from matching a integer axis (sorted_keys)
-    # XXX: we might want to allow signed and unsigned integers to match
-    #      against each other
+    # XXX: we might want to allow signed and unsigned integers to match against each other
     if array.dtype.kind != sorted_keys.dtype.kind:
         raise KeyError('key has not the same dtype than axis')
-    # TODO: it is very important to fail quickly, so guess_axis should try
-    # this in chunks (first test first element of key, if several axes match,
-    #  try [1:11] elements, [12:112], [113:1113], ...
+    # TODO: it is very important to fail quickly, so guess_axis should try this in chunks
+    # (first test first element of key, if several axes match, try [1:11] elements, [12:112], [113:1113], ...
     if not np.all(np.in1d(array, sorted_keys)):
         raise KeyError('all keys not in array')
 
@@ -303,13 +297,11 @@ def array_lookup2(array, sorted_keys, sorted_values):
     # TODO: range axes should be optimized (reuse Pandas 0.18 indexes)
 
     # prevent an array of booleans from matching a integer axis (sorted_keys)
-    # XXX: we might want to allow signed and unsigned integers to match
-    #      against each other
+    # XXX: we might want to allow signed and unsigned integers to match against each other
     if array.dtype.kind != sorted_keys.dtype.kind:
         raise KeyError('key has not the same dtype than axis')
-    # TODO: it is very important to fail quickly, so guess_axis should try
-    # this in chunks (first test first element of key, if several axes match,
-    #  try [1:11] elements, [12:112], [113:1113], ...
+    # TODO: it is very important to fail quickly, so guess_axis should try this in chunks
+    # (first test first element of key, if several axes match, try [1:11] elements, [12:112], [113:1113], ...
     if not np.all(np.in1d(array, sorted_keys)):
         raise KeyError('all keys not in array')
 
@@ -331,9 +323,8 @@ def split_on_condition(seq, condition):
 
     Notes
     -----
-    If the condition can be inlined into a list comprehension, a double list
-    comprehension is faster than this function. So if performance is crucial,
-    you should inline this function with the condition itself inlined.
+    If the condition can be inlined into a list comprehension, a double list comprehension is faster than this function.
+    So if performance is crucial, you should inline this function with the condition itself inlined.
     """
     a, b = [], []
     append_a, append_b = a.append, b.append
@@ -454,11 +445,9 @@ def find_closing_chr(s, start=0):
       ...
     ValueError: malformed expression: found '}' before '{'
     >>> find_closing_chr('(()')
-    ... # doctest: +NORMALIZE_WHITESPACE
     Traceback (most recent call last):
       ...
-    ValueError: malformed expression: reached end of string without finding
-                the expected ')'
+    ValueError: malformed expression: reached end of string without finding the expected ')'
     """
     opening, closing = '({[', ')}]'
     match = {o: c for o, c in zip(opening, closing)}
@@ -475,17 +464,15 @@ def find_closing_chr(s, start=0):
                 last_open.append(c)
             if c in closing_set:
                 if not last_open:
-                    raise ValueError("malformed expression: found '{}' before "
-                                     "'{}'".format(c, match[c]))
+                    raise ValueError("malformed expression: found '{}' before '{}'".format(c, match[c]))
                 expected = match[last_open.pop()]
                 if c != expected:
-                    raise ValueError("malformed expression: expected '{}' but "
-                                     "found '{}'".format(expected, c))
+                    raise ValueError("malformed expression: expected '{}' but found '{}'".format(expected, c))
                 if not last_open:
                     assert c == match[needle]
                     return pos
-    raise ValueError("malformed expression: reached end of string without "
-                     "finding the expected '{}'".format(match[needle]))
+    raise ValueError("malformed expression: reached end of string without finding the expected '{}'"
+                     .format(match[needle]))
 
 
 def float_error_handler_factory(stacklevel):
@@ -504,16 +491,15 @@ def _isintstring(s):
 
 
 def _parse_bound(s, stack_depth=1, parse_int=True):
-    """Parse a string representing a single value, converting int-like
-    strings to integers and evaluating expressions within {}.
+    """Parse a string representing a single value, converting int-like strings to integers and evaluating expressions
+    within {}.
 
     Parameters
     ----------
     s : str
         string to evaluate
     stack_depth : int
-        how deep to go in the stack to get local variables for evaluating
-        {expressions}.
+        how deep to go in the stack to get local variables for evaluating {expressions}.
 
     Returns
     -------
@@ -569,6 +555,7 @@ def _seq_summary(seq, n=3, repr_func=repr, sep=' '):
 def index_by_id(seq, value):
     """
     Returns position of an object in a sequence.
+
     Raises an error if the object is not in the list.
 
     Parameters
@@ -577,8 +564,7 @@ def index_by_id(seq, value):
         Any sequence (list, tuple, str, unicode).
 
     value : object
-        Object for which you want to retrieve its position
-        in the sequence.
+        Object for which you want to retrieve its position in the sequence.
 
     Raises
     ------
diff --git a/make_release.py b/make_release.py
index 61ff8aa16..49c53ed32 100644
--- a/make_release.py
+++ b/make_release.py
@@ -26,8 +26,7 @@
 
 if sys.version < '3':
     import io
-    # add support for encoding. Slow on Python2, but that is not a problem
-    # given what we do with it.
+    # add support for encoding. Slow on Python2, but that is not a problem given what we do with it.
     open = io.open
 
 
@@ -171,8 +170,7 @@ def isprerelease(release_name):
     >>> isprerelease('0.8.1rc1')
     True
     """
-    return any(tag in release_name
-               for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'))
+    return any(tag in release_name for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'))
 
 
 # -------------------- #
@@ -230,8 +228,7 @@ def update_changelog(release_name):
         print('\n'.join(f.read().splitlines()[:20]))
     if no('Does the full changelog look right?'):
         exit(1)
-    call('git commit -m "include release changes (%s) in changes.rst" %s'
-         % (fname, fpath))
+    call('git commit -m "include release changes (%s) in changes.rst" %s' % (fname, fpath))
 
 
 def run_tests():
@@ -244,8 +241,7 @@ def run_tests():
 def make_release(release_name=None, branch='master'):
     if release_name is not None:
         if 'pre' in release_name:
-            raise ValueError("'pre' is not supported anymore, use 'alpha' or "
-                             "'beta' instead")
+            raise ValueError("'pre' is not supported anymore, use 'alpha' or 'beta' instead")
         if '-' in release_name:
             raise ValueError("- is not supported anymore")
 
@@ -260,16 +256,14 @@ def make_release(release_name=None, branch='master'):
     if lines:
         uncommited = sum(1 for line in lines if line.startswith(' M'))
         untracked = sum(1 for line in lines if line.startswith('??'))
-        print('Warning: there are %d files with uncommitted changes '
-              'and %d untracked files:' % (uncommited, untracked))
+        print('Warning: there are %d files with uncommitted changes and %d untracked files:' % (uncommited, untracked))
         print(status)
         if no('Do you want to continue?'):
             exit(1)
 
     ahead = call('git log --format=format:%%H origin/%s..%s' % (branch, branch))
     num_ahead = len(ahead.splitlines())
-    print("Branch '%s' is %d commits ahead of 'origin/%s'"
-          % (branch, num_ahead, branch), end='')
+    print("Branch '%s' is %d commits ahead of 'origin/%s'" % (branch, num_ahead, branch), end='')
     if num_ahead:
         if yes(', do you want to push?'):
             do('Pushing changes', call, 'git push')
@@ -292,17 +286,14 @@ def make_release(release_name=None, branch='master'):
     makedirs('larray_new_release')
     chdir('larray_new_release')
 
-    # make a temporary clone in /tmp. The goal is to make sure we do not
-    # include extra/unversioned files. For the -src archive, I don't think
-    # there is a risk given that we do it via git, but the risk is there for
-    # the bundles (src/build is not always clean, examples, editor, ...)
-
-    # Since this script updates files (update_changelog), we
-    # need to get those changes propagated to GitHub. I do that by updating the
-    # temporary clone then push twice: first from the temporary clone to the
-    # "working copy clone" (eg ~/devel/project) then to GitHub from there. The
-    # alternative to modify the "working copy clone" directly is worse because
-    # it needs more complicated path handling that the 2 push approach.
+    # make a temporary clone in /tmp. The goal is to make sure we do not include extra/unversioned files. For the -src
+    # archive, I don't think there is a risk given that we do it via git, but the risk is there for the bundles
+    # (src/build is not always clean, examples, editor, ...)
+
+    # Since this script updates files (update_changelog), we need to get those changes propagated to GitHub. I do that
+    # by updating the temporary clone then push twice: first from the temporary clone to the "working copy clone" (eg
+    # ~/devel/project) then to GitHub from there. The alternative to modify the "working copy clone" directly is worse
+    # because it needs more complicated path handling that the 2 push approach.
     do('Cloning', call, 'git clone -b %s %s build' % (branch, repository))
 
     # ---------- #
@@ -324,8 +315,7 @@ def make_release(release_name=None, branch='master'):
     if public_release:
         test_release = True
     else:
-        test_release = yes('Do you want to test the executables after they are '
-                           'created?')
+        test_release = yes('Do you want to test the executables after they are created?')
 
     if test_release:
         do('Testing release', run_tests)
@@ -336,29 +326,24 @@ def make_release(release_name=None, branch='master'):
     do('Building doc', build_doc)
 
     do('Creating source archive', call,
-       r'git archive --format zip --output ..\LARRAY-%s-src.zip %s'
-       % (release_name, rev))
+       r'git archive --format zip --output ..\LARRAY-%s-src.zip %s' % (release_name, rev))
 
     # ------- #
     chdir('..')
     # ------- #
 
     if public_release:
-        if no('Is the release looking good? If so, the tag will be created and '
-              'pushed.'):
+        if no('Is the release looking good? If so, the tag will be created and pushed.'):
             exit(1)
 
         # ---------- #
         chdir('build')
         # ---------- #
 
-        do('Tagging release', call,
-           'git tag -a v%(name)s -m "tag release %(name)s"'
-           % {'name': release_name})
+        do('Tagging release', call, 'git tag -a v%(name)s -m "tag release %(name)s"' % {'name': release_name})
         # push the changelog commits to the branch (usually master)
         # and the release tag (which refers to the last commit)
-        do('Pushing to %s' % repository, call,
-           'git push origin %s --follow-tags' % branch)
+        do('Pushing to %s' % repository, call, 'git push origin %s --follow-tags' % branch)
 
         # ------- #
         chdir('..')
@@ -366,8 +351,8 @@ def make_release(release_name=None, branch='master'):
 
     if public_release:
         chdir(repository)
-        do('Pushing to GitHub', call,
-           'git push origin %s --follow-tags' % branch)
+        do('Pushing to GitHub', call, 'git push origin %s --follow-tags' % branch)
+
 
 if __name__ == '__main__':
     from sys import argv
diff --git a/setup.py b/setup.py
index c662bb2d7..154bd4135 100644
--- a/setup.py
+++ b/setup.py
@@ -3,6 +3,7 @@
 import os
 from setuptools import setup, find_packages
 
+
 def readlocal(fname):
     return open(os.path.join(os.path.dirname(__file__), fname)).read()
 

From 1754ed7552665a95c290c20893f3e915aa07b293 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 14 Sep 2017 16:16:37 +0200
Subject: [PATCH 744/899] fix #328 : Method to_excel/to_hdf accept Group with
 as sheet_name/key (#422)

fix #328 : Method to_excel/to_hdf + Workbook accept Group as sheet_name/key.
---
 doc/source/changes/version_0_26.rst.inc | 26 ++++++++++
 larray/core/array.py                    | 11 +++--
 larray/core/group.py                    | 22 +++++++++
 larray/io/excel.py                      |  4 +-
 larray/tests/test_array.py              | 66 +++++++++++++++++++++++++
 larray/tests/test_excel.py              |  6 +++
 6 files changed, 131 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index e3bc09118..5606220e9 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -44,6 +44,32 @@ Miscellaneous improvements
 * replaced `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions by `fill_value`
   (closes :issue:`394`)
 
+* allowed to pass a label or group as `sheet_name` argument of the method `to_excel` or to a Workbook (`open_excel`).
+  Same for `key` argument of the method `to_hdf`. Closes :issue:`328`.
+
+    >>> arr = ndtest((4, 4, 4))
+
+    >>> # iterate over labels of a given axis
+    >>> with open_excel('my_file.xlsx') as wb:
+    >>>     for label in arr.a:
+    ...         wb[label] = arr[label].dump()
+    ...     wb.save()
+    >>> for label in arr.a:
+    ...     arr[label].to_hdf('my_file.h5', label)
+
+    >>> # create and use a group
+    >>> even = arr.a['a0,a2'] >> 'even'
+    >>> arr[even].to_excel('my_file.xlsx', even)
+    >>> arr[even].to_hdf('my_file.h5', even)
+
+    >>> # special characters : \ / ? * [ or ] in labels or groups are replaced by an _ when exporting to excel
+    >>> # sheet names cannot exceed 31 characters
+    >>> g = arr.a['a1,a3,a4'] >> '?name:with*special\/[char]'
+    >>> arr[g].to_excel('my_file.xlsx', g)
+    >>> print(open_excel('my_file.xlsx').sheet_names())
+    ['_name_with_special___char_']
+    >>> # special characters \ or / in labels or groups are replaced by an _ when exporting to HDF file
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 1d68853ad..5639a788e 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -73,6 +73,7 @@
 import csv
 from collections import Iterable, Sequence
 from itertools import product, chain, groupby, islice
+import re
 import os
 import sys
 import warnings
@@ -98,7 +99,8 @@
 
 from larray.core.abc import ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys, _range_to_slice
+from larray.core.group import (Group, PGroup, LGroup, remove_nested_groups, _to_tick, _to_key, _to_keys,
+                               _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, x, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
                               float_error_handler_factory, _isnoneslice, light_product, unique_list)
@@ -5627,7 +5629,7 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         ----------
         filepath : str
             Path where the hdf file has to be written.
-        key : str
+        key : str or Group
             Name of the array within the HDF file.
         *args
         **kargs
@@ -5637,6 +5639,7 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         >>> a = ndtest((2, 3))
         >>> a.to_hdf('test.h5', 'a')  # doctest: +SKIP
         """
+        key = _translate_key_hdf(key)
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
     def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file=False, clear_sheet=False,
@@ -5650,7 +5653,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
             Path where the excel file has to be written. If None (default), creates a new Excel Workbook in a live Excel
             instance (Windows only). Use -1 to use the currently active Excel Workbook. Use a name without extension
             (.xlsx) to use any unsaved* workbook.
-        sheet_name : str or int or None, optional
+        sheet_name : str or Group or int or None, optional
             Sheet where the data has to be written. Defaults to None, Excel standard name if adding a sheet to an
             existing file, "Sheet1" otherwise. sheet_name can also refer to the position of the sheet
             (e.g. 0 for the first sheet, -1 for the last one).
@@ -5681,6 +5684,8 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
         >>> # add to existing sheet starting at position A15
         >>> a.to_excel('test.xlsx', 'Sheet1', 'A15')  # doctest: +SKIP
         """
+        sheet_name = _translate_sheet_name(sheet_name)
+
         df = self.to_frame(fold_last_axis_name=True)
         if engine is None:
             engine = 'xlwings' if xw is not None else None
diff --git a/larray/core/group.py b/larray/core/group.py
index 40bad6648..cc05d8b7d 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -628,6 +628,28 @@ def _to_keys(value, stack_depth=1):
         return _to_key(value, stack_depth + 1)
 
 
+# forbidden characters in sheet names
+_sheet_name_pattern = re.compile('[\\\/?*\[\]:]')
+
+
+def _translate_sheet_name(sheet_name):
+    if isinstance(sheet_name, Group):
+        sheet_name = _sheet_name_pattern.sub('_', str(_to_tick(sheet_name)))
+    if isinstance(sheet_name, basestring) and len(sheet_name) > 30:
+        raise ValueError("Sheet names cannot exceed 31 characters")
+    return sheet_name
+
+
+# forbidden characters for dataset names in HDF files
+_key_hdf_pattern = re.compile('[\\\/]')
+
+
+def _translate_key_hdf(key):
+    if isinstance(key, Group):
+        key = _key_hdf_pattern.sub('_', str(_to_tick(key)))
+    return key
+
+
 def union(*args):
     # TODO: add support for LGroup and lists
     """
diff --git a/larray/io/excel.py b/larray/io/excel.py
index a21b788c7..7c1f96320 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -7,6 +7,7 @@
 except ImportError:
     xw = None
 
+from larray.core.group import _translate_sheet_name
 from larray.core.axis import Axis
 from larray.core.array import LArray
 from larray.io.array import df_aslarray, from_lists
@@ -19,7 +20,6 @@
 
     global_app = None
 
-
     def is_app_alive(app):
         try:
             app.books
@@ -171,12 +171,14 @@ def _ipython_key_completions_(self):
             return list(self.sheet_names())
 
         def __getitem__(self, key):
+            key = _translate_sheet_name(key)
             if key in self:
                 return Sheet(self, key)
             else:
                 raise KeyError('Workbook has no sheet named {}'.format(key))
 
         def __setitem__(self, key, value):
+            key = _translate_sheet_name(key)
             if self.new_workbook:
                 self.xw_wkb.sheets[0].name = key
                 self.new_workbook = False
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 624a42d20..f707205dd 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2392,6 +2392,30 @@ def test_hdf_roundtrip(self):
         self.assertEqual(axis.name, 'axis')
         assert_array_equal(axis.labels, ['10', '20'])
 
+        # passing group as sheet_name
+        a3 = ndtest((4, 3, 4))
+        fpath = abspath('test.h5')
+        os.remove(fpath)
+        # single element group
+        for label in a3.a:
+            a3[label].to_hdf(fpath, label)
+        # unnamed group
+        group = a3.c['c0,c2']
+        a3[group].to_hdf(fpath, group)
+        # unnamed group + slice
+        group = a3.c['c0::2']
+        a3[group].to_hdf(fpath, group)
+        # named group
+        group = a3.c['c0,c2'] >> 'even'
+        a3[group].to_hdf(fpath, group)
+        # group with name containing special characters (replaced by _)
+        group = a3.c['c0,c2'] >> ':name?with*special/\[characters]'
+        a3[group].to_hdf(fpath, group)
+
+        from  larray.core.session import Session
+        s = Session(fpath)
+        assert s.names == sorted(['a0', 'a1', 'a2', 'a3', 'c0,c2', 'c0::2', 'even', ':name?with*special__[characters]'])
+
     def test_read_csv(self):
         la = read_csv(abspath('test1d.csv'))
         self.assertEqual(la.ndim, 1)
@@ -2677,6 +2701,25 @@ def test_to_excel_xlsxwriter(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
+        # passing group as sheet_name
+        a3 = ndtest((4, 3, 4))
+        os.remove(fpath)
+        # single element group
+        for label in a3.a:
+            a3[label].to_excel(fpath, label, engine='xlsxwriter')
+        # unnamed group
+        group = a3.c['c0,c2']
+        a3[group].to_excel(fpath, group, engine='xlsxwriter')
+        # unnamed group + slice
+        group = a3.c['c0::2']
+        a3[group].to_excel(fpath, group, engine='xlsxwriter')
+        # named group
+        group = a3.c['c0,c2'] >> 'even'
+        a3[group].to_excel(fpath, group, engine='xlsxwriter')
+        # group with name containing special characters (replaced by _)
+        group = a3.c['c0,c2'] >> ':name?with*special/\[char]'
+        a3[group].to_excel(fpath, group, engine='xlsxwriter')
+
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_to_excel_xlwings(self):
         fpath = abspath('test_to_excel_xlwings.xlsx')
@@ -2736,6 +2779,29 @@ def test_to_excel_xlwings(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
+        # passing group as sheet_name
+        a3 = ndtest((4, 3, 4))
+        os.remove(fpath)
+        # single element group
+        for label in a3.a:
+            a3[label].to_excel(fpath, label, engine='xlwings')
+        # unnamed group
+        group = a3.c['c0,c2']
+        a3[group].to_excel(fpath, group, engine='xlwings')
+        # unnamed group + slice
+        group = a3.c['c0::2']
+        a3[group].to_excel(fpath, group, engine='xlwings')
+        # named group
+        group = a3.c['c0,c2'] >> 'even'
+        a3[group].to_excel(fpath, group, engine='xlwings')
+        # group with name containing special characters (replaced by _)
+        group = a3.c['c0,c2'] >> ':name?with*special/\[char]'
+        a3[group].to_excel(fpath, group, engine='xlwings')
+        # checks sheet names
+        sheet_names = sorted(open_excel(fpath).sheet_names())
+        assert sheet_names == sorted(['a0', 'a1', 'a2', 'a3', 'c0,c2', 'c0__2', 'even',
+                                      '_name_with_special___char_'])
+
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_open_excel(self):
         # 1) Create new file
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 586d54344..faad05e62 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -85,6 +85,12 @@ def test_setitem(self):
                     wb2['sheet1'] = wb['sheet1']
                 assert e_info.value.args[0] == "cannot copy a sheet from one instance of Excel to another"
 
+            # group key
+            arr = ndtest((3, 3))
+            for label in arr.b:
+                wb[label] = arr[label].dump()
+                assert larray_equal(wb[label].load(), arr[label])
+
     def test_delitem(self):
         with open_excel(visible=False) as wb:
             wb['sheet1'] = 'sheet1 content'

From f229d82db407263afc8fd4e84bb678ea44da0588 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 15 Sep 2017 12:42:51 +0200
Subject: [PATCH 745/899] fix #362 : implemented axis[other_axis] (#426)

fix #362 : implemented axis[other_axis]
---
 doc/source/changes/version_0_26.rst.inc | 8 ++++++++
 larray/core/axis.py                     | 5 ++++-
 larray/tests/test_axis.py               | 5 +++++
 3 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 5606220e9..53643b4b4 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -70,6 +70,14 @@ Miscellaneous improvements
     ['_name_with_special___char_']
     >>> # special characters \ or / in labels or groups are replaced by an _ when exporting to HDF file
 
+* allowed to create a group on an axis using labels of another axis (closes :issue:`362`):
+
+    >>> year = Axis('year=2000..2017')
+    >>> even_year = Axis(range(2000, 2017, 2), 'even_year')
+    >>> group_even_year = year[even_year]
+    >>> group_even_year
+    year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
+
 Fixes
 -----
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 5ab8c7d94..1cafb3c58 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -536,7 +536,7 @@ def __getitem__(self, key):
         """
         Returns a group (list or unique element) of label(s) usable in .sum or .filter
 
-        key is a label-based key (slice and fancy indexing are supported)
+        key is a label-based key (other axis, slice and fancy indexing are supported)
 
         Returns
         -------
@@ -553,6 +553,9 @@ def __getitem__(self, key):
         def isscalar(k):
             return np.isscalar(k) or (isinstance(k, Group) and np.isscalar(k.key))
 
+        if isinstance(key, Axis):
+            key = key.labels
+
         # the not all(np.isscalar) part is necessary to support axis[a, b, c] and axis[[a, b, c]]
         if isinstance(key, (tuple, list)) and not all(isscalar(k) for k in key):
             # this creates a group for each key if it wasn't and retargets PGroup
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 9d0365310..8c2e98a74 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -88,6 +88,11 @@ def test_getitem(self):
         self.assertEqual(group.key, slice(None))
         self.assertIs(group.axis, age)
 
+        # an axis
+        age2 = Axis('age=0..5')
+        group = age[age2]
+        assert list(group.key) == list(age2.labels)
+
     def test_translate(self):
         # an axis with labels having the object dtype
         a = Axis(np.array(["a0", "a1"], dtype=object), 'a')

From d7c1a76b7e619ffddcdc06d704f6bde67cd4481d Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 15 Sep 2017 14:00:31 +0200
Subject: [PATCH 746/899] fix #408 : set_labels with an Axis as the labels
 argument (#425)

fix #408 : set_labels with an Axis as the labels argument does no longer produce an axis with PGroup labels.
---
 doc/source/changes/version_0_26.rst.inc | 2 ++
 larray/core/group.py                    | 3 ++-
 larray/tests/test_axis.py               | 5 +++++
 3 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 53643b4b4..548cfbe0d 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -78,6 +78,8 @@ Miscellaneous improvements
     >>> group_even_year
     year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
 
+* allowed passing an axis to `set_labels` as 'labels' argument (closes :issue:`408`).
+
 Fixes
 -----
 
diff --git a/larray/core/group.py b/larray/core/group.py
index cc05d8b7d..1373bd1bf 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -391,10 +391,11 @@ def _to_ticks(s):
     ['A', 'C', 'D', 'E', 'F', 'G', 'Z']
     >>> _to_ticks('U')
     ['U']
-
     >>> list(_to_ticks('..3'))
     [0, 1, 2, 3]
     """
+    if isinstance(s, ABCAxis):
+        return s.labels
     if isinstance(s, Group):
         # a single LGroup used for all ticks of an Axis
         return _to_ticks(s.eval())
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 8c2e98a74..e8af1cf23 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -39,6 +39,11 @@ def test_init(self):
         group_axis = Axis(group)
         assert_array_equal(group_axis.labels, np.arange(11))
         assert_array_equal(group_axis.name, 'age')
+        # another axis as labels argument
+        other = Axis('other=0..10')
+        axis = Axis(other, 'age')
+        assert_array_equal(axis.labels, other.labels)
+        assert_array_equal(axis.name, 'age')
 
     def test_equals(self):
         self.assertTrue(Axis('sex=M,F').equals(Axis('sex=M,F')))

From 95a839d7a49216a0999d219c8fcbfbf9be4088d1 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 18 Sep 2017 12:33:07 +0200
Subject: [PATCH 747/899] fix #341 : allowed to pass an axis/group/int to set
 the name of group. (#428)

fix #341 : allowed to pass an axis or group to set the name of group.
---
 doc/source/changes/version_0_26.rst.inc | 16 ++++++++++++++++
 larray/core/group.py                    |  2 +-
 larray/tests/test_group.py              | 24 ++++++++++++++++++++++++
 3 files changed, 41 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 548cfbe0d..bae1355ae 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -70,6 +70,22 @@ Miscellaneous improvements
     ['_name_with_special___char_']
     >>> # special characters \ or / in labels or groups are replaced by an _ when exporting to HDF file
 
+* allowed setting the name of a Group using another Group or Axis (closes :issue:`341`):
+
+    >>> arr = ndrange('axis=a,a0..a3,b,b0..b3,c,c0..c3')
+    >>> arr
+    axis  a  a0  a1  a2  a3  b  b0  b1  b2  b3   c  c0  c1  c2  c3
+          0   1   2   3   4  5   6   7   8   9  10  11  12  13  14
+    >>> # matches('^.$') will select labels with only one character: 'a', 'b' and 'c'
+    >>> groups = tuple(arr.axis.startswith(code) >> code for code in arr.axis.matches('^.$'))
+    >>> groups
+    (axis['a', 'a0', 'a1', 'a2', 'a3'] >> 'a',
+     axis['b', 'b0', 'b1', 'b2', 'b3'] >> 'b',
+     axis['c', 'c0', 'c1', 'c2', 'c3'] >> 'c')
+    >>> arr.sum(groups)
+    axis   a   b   c
+          10  35  60
+
 * allowed to create a group on an axis using labels of another axis (closes :issue:`362`):
 
     >>> year = Axis('year=2000..2017')
diff --git a/larray/core/group.py b/larray/core/group.py
index 1373bd1bf..a41f2f07d 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -713,7 +713,7 @@ def __init__(self, key, name=None, axis=None):
 
         # we do NOT assign a name automatically when missing because that makes it impossible to know whether a name
         # was explicitly given or not
-        self.name = name
+        self.name = str(_to_tick(name)) if name is not None else name
         assert axis is None or isinstance(axis, (basestring, int, ABCAxis)), \
             "invalid axis '%s' (%s)" % (axis, type(axis).__name__)
 
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index 1352a6990..7afb60d12 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -7,6 +7,7 @@
 
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import Axis, LGroup, LSet
+from larray.core.group import Group
 
 
 class TestLGroup(TestCase):
@@ -46,6 +47,29 @@ def test_init(self):
         self.assertEqual(self.single_value.key, 'P03')
         self.assertEqual(self.list.key, ['P01', 'P03', 'P04'])
 
+        # passing an axis as name
+        group = LGroup('1:5', self.age, self.age)
+        assert group.name == self.age.name
+        group = self.age['1:5'] >> self.age
+        assert group.name == self.age.name
+        # passing an unnamed group as name
+        group2 = LGroup('1', axis=self.age)
+        group = LGroup('1', group2, axis=self.age)
+        assert group.name == '1'
+        group = self.age['1'] >> group2
+        assert group.name == '1'
+        # passing a named group as name
+        group2 = LGroup('1:5', 'age', self.age)
+        group = LGroup('1:5', group2, axis=self.age)
+        assert group.name == group2.name
+        group = self.age['1:5'] >> group2
+        assert group.name == group2.name
+        # additional test
+        axis = Axis('axis=a,a0..a3,b,b0..b3,c,c0..c3')
+        for code in axis.matches('^.$'):
+            group = axis.startswith(code) >> code
+            assert group == axis.startswith(code) >> str(code)
+
     def test_eq(self):
         # with axis vs no axis do not compare equal
         # self.assertEqual(self.slice_both, self.slice_both_named_wh_named_axis)

From feef8e8ff4c33e947a482bf87bb073acf726a68b Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 19 Sep 2017 09:51:57 +0200
Subject: [PATCH 748/899] fix #343 : implemented LArray.__contains__ (#431)

fix #343 : implemented LArray.__contains__ --> checks if a key is in the labels of an array
---
 doc/source/changes/version_0_26.rst.inc | 16 ++++++++++++++++
 larray/core/array.py                    |  3 +++
 larray/tests/test_array.py              | 13 +++++++++++++
 3 files changed, 32 insertions(+)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index bae1355ae..d3d5b4595 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -86,6 +86,22 @@ Miscellaneous improvements
     axis   a   b   c
           10  35  60
 
+* allowed to test if an array contains a label using the `in` operator (closes :issue:`343`):
+
+    >>> arr = ndrange('age=0..99;sex=M,F')
+    >>> 'M' in arr
+    True
+    >>> 'Male' in arr
+    False
+    >>> # this can be useful for example in an 'if' statement
+    >>> if 102 not in arr:
+    ...     # with 'reindex', we extend 'age' axis to 102
+    ...     arr = arr.reindex('age', Axis('age=0..102'), fill_value=0)
+    >>> arr.info
+    103 x 2
+     age [103]: 0 1 2 ... 100 101 102
+     sex [2]: 'M' 'F'
+
 * allowed to create a group on an axis using labels of another axis (closes :issue:`362`):
 
     >>> year = Axis('year=2000..2017')
diff --git a/larray/core/array.py b/larray/core/array.py
index 5639a788e..5c89b0239 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2444,6 +2444,9 @@ def __str__(self):
     def __iter__(self):
         return LArrayIterator(self)
 
+    def __contains__(self, key):
+        return any(key in axis for axis in self.axes)
+
     def as_table(self, maxlines=None, edgeitems=5, light=False):
         """
         Generator. Returns next line of the table representing an array.
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index f707205dd..6028e1959 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -1152,6 +1152,19 @@ def test_filter_multiple_axes(self):
         self.assertEqual(la.filter(age=57, lipro='P01,P05').shape, (44, 2, 2))
         self.assertEqual(la.filter(geo='A57', lipro='P01,P05').shape, (116, 2, 2))
 
+    def test_contains(self):
+        arr = ndrange('a=0..2;b=b0..b2;c=2..4')
+        # string label
+        assert 'b1' in arr
+        assert not 'b4' in arr
+        # int label
+        assert 1 in arr
+        assert 5 not in arr
+        # duplicate label
+        assert 2 in arr
+        # slice
+        assert not slice('b0', 'b2') in arr
+
     def test_sum_full_axes(self):
         la = self.larray
         age, geo, sex, lipro = la.axes

From 41288bc62eb8e4bc5fc7e2d059a09b2d39ea24cc Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 20 Sep 2017 09:23:20 +0200
Subject: [PATCH 749/899] fix #167 : renamed special var x as X (#436)

---
 doc/source/changes/version_0_26.rst.inc |   2 +
 larray/core/array.py                    | 232 ++++++++++++------------
 larray/core/axis.py                     |  33 +++-
 larray/core/group.py                    |  10 +-
 larray/extra/ipfp.py                    |   6 +-
 larray/tests/test_array.py              | 116 ++++++------
 larray/tests/test_ipfp.py               |  10 +-
 7 files changed, 215 insertions(+), 194 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index d3d5b4595..c6d61bf57 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -12,6 +12,8 @@ Miscellaneous improvements
 
 * view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
+* renamed special variable `x` as `X` (closes :issue:`167`).
+
 * allowed to pass an array of labels as `new_axis` argument to `reindex` method (closes :issue:`384`):
 
     >>> arr = ndrange('a=v0..v1;b=v0..v2')
diff --git a/larray/core/array.py b/larray/core/array.py
index 5c89b0239..c34880e4d 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -101,7 +101,7 @@
 from larray.core.expr import ExprNode
 from larray.core.group import (Group, PGroup, LGroup, remove_nested_groups, _to_tick, _to_key, _to_keys,
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
-from larray.core.axis import Axis, AxisReference, AxisCollection, x, _make_axis
+from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
                               float_error_handler_factory, _isnoneslice, light_product, unique_list)
 
@@ -617,7 +617,7 @@ def larray_equal(a1, a2):
     >>> arr2['b1'] += 1
     >>> larray_equal(arr1, arr2)
     False
-    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> arr3 = arr1.set_labels(X.a, ['x0', 'x1'])
     >>> larray_equal(arr1, arr3)
     False
     """
@@ -663,7 +663,7 @@ def larray_nan_equal(a1, a2):
     >>> arr2['b1'] = 0.0
     >>> larray_nan_equal(arr1, arr2)
     False
-    >>> arr3 = arr1.set_labels(x.a, ['x0', 'x1'])
+    >>> arr3 = arr1.set_labels(X.a, ['x0', 'x1'])
     >>> larray_nan_equal(arr1, arr3)
     False
     >>> larray_nan_equal([0], [0])
@@ -845,7 +845,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
 
         Replace one axis (second argument `new_axis` must be provided)
 
-        >>> arr.set_axes(x.a, row)
+        >>> arr.set_axes(X.a, row)
         row\\b  b0  b1  b2
            r0   0   1   2
            r1   3   4   5
@@ -854,9 +854,9 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
 
         >>> arr.set_axes(a=row, b=column) # doctest: +SKIP
         >>> # or
-        >>> arr.set_axes([(x.a, row), (x.b, column)]) # doctest: +SKIP
+        >>> arr.set_axes([(X.a, row), (X.b, column)]) # doctest: +SKIP
         >>> # or
-        >>> arr.set_axes({x.a: row, x.b: column})
+        >>> arr.set_axes({X.a: row, X.b: column})
         row\\column  c0  c1  c2
                 r0   0   1   2
                 r1   3   4   5
@@ -1189,7 +1189,7 @@ def describe_by(self, *args, **kwargs):
         gender\statistic  count  mean  std  min   25%  50%   75%  max
                     Male    8.0   3.0  2.0  0.0  1.75  3.0  4.25  6.0
                   Female    8.0   5.0  2.0  2.0  3.75  5.0  6.25  8.0
-        >>> arr.describe_by('gender', (x.year[:2015], x.year[2018:]))
+        >>> arr.describe_by('gender', (X.year[:2015], X.year[2018:]))
         gender  year\statistic  count  mean  std  min  25%  50%  75%  max
           Male           :2015    3.0   3.0  3.0  0.0  1.5  3.0  4.5  6.0
           Male           2018:    3.0   2.0  1.0  1.0  1.5  2.0  2.5  3.0
@@ -1265,7 +1265,7 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         nat\\sex  M  F
              BE  0  1
              FO  2  3
-        >>> arr.rename(x.nat, 'nat2')
+        >>> arr.rename(X.nat, 'nat2')
         nat2\\sex  M  F
               BE  0  1
               FO  2  3
@@ -1343,11 +1343,11 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
 
         Reindex one axis
 
-        >>> arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
+        >>> arr.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=-1)
         a\\b  b1  b2  b0
          a0   1  -1   0
          a1   3  -1   2
-        >>> arr.reindex(x.b, 'b0..b2', fill_value=-1)
+        >>> arr.reindex(X.b, 'b0..b2', fill_value=-1)
         a\\b  b0  b1  b2
          a0   0   1  -1
          a1   2   3  -1
@@ -1361,7 +1361,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
          a1  -1   3   2
          a2  -1  -1  -1
          a0  -1   1   0
-        >>> arr.reindex({x.a: a, x.b: b})
+        >>> arr.reindex({X.a: a, X.b: b})
         a\\b   b2   b1   b0
          a1  nan  3.0  2.0
          a2  nan  nan  nan
@@ -1682,7 +1682,7 @@ def sort_axis(self, axes=None, reverse=False):
              EU  0  1
              FO  2  3
              BE  4  5
-        >>> a.sort_axis(x.sex)
+        >>> a.sort_axis(X.sex)
         nat\\sex  F  M
              EU  1  0
              FO  3  2
@@ -1692,7 +1692,7 @@ def sort_axis(self, axes=None, reverse=False):
              BE  5  4
              EU  1  0
              FO  3  2
-        >>> a.sort_axis((x.sex, x.nat))
+        >>> a.sort_axis((X.sex, X.nat))
         nat\\sex  F  M
              BE  5  4
              EU  1  0
@@ -2416,7 +2416,7 @@ def drop_labels(self, axes=None):
         a\\b  b2  b3
          a1   0   1
          a2   4   9
-        >>> arr1.drop_labels(x.a) * arr2.drop_labels(x.b)
+        >>> arr1.drop_labels(X.a) * arr2.drop_labels(X.b)
         a\\b  b1  b2
          a1   0   1
          a2   4   9
@@ -2933,7 +2933,7 @@ def argmin(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argmin(x.sex)
+        >>> arr.argmin(X.sex)
         nat  BE  FR  IT
               M   F   M
         >>> arr.argmin()
@@ -2974,7 +2974,7 @@ def posargmin(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.posargmin(x.sex)
+        >>> arr.posargmin(X.sex)
         nat  BE  FR  IT
               0   1   0
         >>> arr.posargmin()
@@ -3013,7 +3013,7 @@ def argmax(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argmax(x.sex)
+        >>> arr.argmax(X.sex)
         nat  BE  FR  IT
               F   M   F
         >>> arr.argmax()
@@ -3054,7 +3054,7 @@ def posargmax(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.posargmax(x.sex)
+        >>> arr.posargmax(X.sex)
         nat  BE  FR  IT
               1   0   1
         >>> arr.posargmax()
@@ -3093,7 +3093,7 @@ def argsort(self, axis=None, kind='quicksort'):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argsort(x.sex)
+        >>> arr.argsort(X.sex)
         nat\\sex  0  1
              BE  M  F
              FR  F  M
@@ -3134,7 +3134,7 @@ def posargsort(self, axis=None, kind='quicksort'):
              BE  1  5
              FR  3  2
              IT  0  4
-        >>> arr.posargsort(x.nat)
+        >>> arr.posargsort(X.nat)
         nat\\sex  M  F
               0  2  1
               1  0  2
@@ -3211,7 +3211,7 @@ def ratio(self, *axes):
         nat\\sex    M    F
              BE  0.2  0.3
              FO  0.1  0.4
-        >>> a.ratio(x.sex)
+        >>> a.ratio(X.sex)
         nat\\sex    M    F
              BE  0.4  0.6
              FO  0.2  0.8
@@ -3303,14 +3303,14 @@ def rationot0(self, *axes):
         a\\b   b0   b1   b2
          a0  0.3  0.0  0.1
          a1  0.2  0.0  0.4
-        >>> arr.rationot0(x.a)
+        >>> arr.rationot0(X.a)
         a\\b   b0   b1   b2
          a0  0.6  0.0  0.2
          a1  0.4  0.0  0.8
 
         for reference, the normal ratio method would return:
 
-        >>> arr.ratio(x.a)
+        >>> arr.ratio(X.a)
         a\\b   b0   b1   b2
          a0  0.6  nan  0.2
          a1  0.4  nan  0.8
@@ -3342,7 +3342,7 @@ def percent(self, *axes):
         nat\\sex     M     F
              BE  20.0  30.0
              FO  10.0  40.0
-        >>> a.percent(x.sex)
+        >>> a.percent(X.sex)
         nat\\sex     M     F
              BE  40.0  60.0
              FO  20.0  80.0
@@ -3408,11 +3408,11 @@ def all(self, *args, **kwargs):
         >>> barr.all()
         False
         >>> # along axis 'a'
-        >>> barr.all(x.a)
+        >>> barr.all(X.a)
         b     b0     b1     b2     b3
            False  False  False  False
         >>> # along axis 'b'
-        >>> barr.all(x.b)
+        >>> barr.all(X.b)
         a    a0     a1     a2     a3
            True  False  False  False
 
@@ -3435,7 +3435,7 @@ def all(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> barr.all((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> barr.all((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b     b0     b1     b2     b3
         a01   True   True  False  False
         a23  False  False  False  False
@@ -3478,11 +3478,11 @@ def all_by(self, *args, **kwargs):
         >>> barr.all_by()
         False
         >>> # by axis 'a'
-        >>> barr.all_by(x.a)
+        >>> barr.all_by(X.a)
         a    a0     a1     a2     a3
            True  False  False  False
         >>> # by axis 'b'
-        >>> barr.all_by(x.b)
+        >>> barr.all_by(X.b)
         b     b0     b1     b2     b3
            False  False  False  False
 
@@ -3503,7 +3503,7 @@ def all_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> barr.all_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> barr.all_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a    a01    a23
            False  False
         >>> # or equivalently
@@ -3545,11 +3545,11 @@ def any(self, *args, **kwargs):
         >>> barr.any()
         True
         >>> # along axis 'a'
-        >>> barr.any(x.a)
+        >>> barr.any(X.a)
         b    b0    b1    b2    b3
            True  True  True  True
         >>> # along axis 'b'
-        >>> barr.any(x.b)
+        >>> barr.any(X.b)
         a    a0    a1     a2     a3
            True  True  False  False
 
@@ -3572,7 +3572,7 @@ def any(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> barr.any((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> barr.any((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b     b0     b1     b2     b3
         a01   True   True   True   True
         a23  False  False  False  False
@@ -3615,11 +3615,11 @@ def any_by(self, *args, **kwargs):
         >>> barr.any_by()
         True
         >>> # by axis 'a'
-        >>> barr.any_by(x.a)
+        >>> barr.any_by(X.a)
         a    a0    a1     a2     a3
            True  True  False  False
         >>> # by axis 'b'
-        >>> barr.any_by(x.b)
+        >>> barr.any_by(X.b)
         b    b0    b1    b2    b3
            True  True  True  True
 
@@ -3640,7 +3640,7 @@ def any_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> barr.any_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> barr.any_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a   a01    a23
            True  False
         >>> # or equivalently
@@ -3678,11 +3678,11 @@ def sum(self, *args, **kwargs):
         >>> arr.sum()
         120
         >>> # along axis 'a'
-        >>> arr.sum(x.a)
+        >>> arr.sum(X.a)
         b  b0  b1  b2  b3
            24  28  32  36
         >>> # along axis 'b'
-        >>> arr.sum(x.b)
+        >>> arr.sum(X.b)
         a  a0  a1  a2  a3
             6  22  38  54
 
@@ -3705,7 +3705,7 @@ def sum(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.sum((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.sum((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b  b0  b1  b2  b3
         a01   4   6   8  10
         a23  20  22  24  26
@@ -3742,11 +3742,11 @@ def sum_by(self, *args, **kwargs):
         >>> arr.sum_by()
         120
         >>> # along axis 'a'
-        >>> arr.sum_by(x.a)
+        >>> arr.sum_by(X.a)
         a  a0  a1  a2  a3
             6  22  38  54
         >>> # along axis 'b'
-        >>> arr.sum_by(x.b)
+        >>> arr.sum_by(X.b)
         b  b0  b1  b2  b3
            24  28  32  36
 
@@ -3767,7 +3767,7 @@ def sum_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.sum_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.sum_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01  a23
             28   92
         >>> # or equivalently
@@ -3804,11 +3804,11 @@ def prod(self, *args, **kwargs):
         >>> arr.prod()
         0
         >>> # along axis 'a'
-        >>> arr.prod(x.a)
+        >>> arr.prod(X.a)
         b  b0   b1    b2    b3
             0  585  1680  3465
         >>> # along axis 'b'
-        >>> arr.prod(x.b)
+        >>> arr.prod(X.b)
         a  a0   a1    a2     a3
             0  840  7920  32760
 
@@ -3831,7 +3831,7 @@ def prod(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.prod((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.prod((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b  b0   b1   b2   b3
         a01   0    5   12   21
         a23  96  117  140  165
@@ -3869,11 +3869,11 @@ def prod_by(self, *args, **kwargs):
         >>> arr.prod_by()
         0
         >>> # along axis 'a'
-        >>> arr.prod_by(x.a)
+        >>> arr.prod_by(X.a)
         a  a0   a1    a2     a3
             0  840  7920  32760
         >>> # along axis 'b'
-        >>> arr.prod_by(x.b)
+        >>> arr.prod_by(X.b)
         b  b0   b1    b2    b3
             0  585  1680  3465
 
@@ -3894,7 +3894,7 @@ def prod_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.prod_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.prod_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01        a23
              0  259459200
         >>> # or equivalently
@@ -3929,11 +3929,11 @@ def min(self, *args, **kwargs):
         >>> arr.min()
         0
         >>> # along axis 'a'
-        >>> arr.min(x.a)
+        >>> arr.min(X.a)
         b  b0  b1  b2  b3
             0   1   2   3
         >>> # along axis 'b'
-        >>> arr.min(x.b)
+        >>> arr.min(X.b)
         a  a0  a1  a2  a3
             0   4   8  12
 
@@ -3956,7 +3956,7 @@ def min(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.min((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.min((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b  b0  b1  b2  b3
         a01   0   1   2   3
         a23   8   9  10  11
@@ -3992,11 +3992,11 @@ def min_by(self, *args, **kwargs):
         >>> arr.min_by()
         0
         >>> # along axis 'a'
-        >>> arr.min_by(x.a)
+        >>> arr.min_by(X.a)
         a  a0  a1  a2  a3
             0   4   8  12
         >>> # along axis 'b'
-        >>> arr.min_by(x.b)
+        >>> arr.min_by(X.b)
         b  b0  b1  b2  b3
             0   1   2   3
 
@@ -4017,7 +4017,7 @@ def min_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.min_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.min_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01  a23
              0    8
         >>> # or equivalently
@@ -4052,11 +4052,11 @@ def max(self, *args, **kwargs):
         >>> arr.max()
         15
         >>> # along axis 'a'
-        >>> arr.max(x.a)
+        >>> arr.max(X.a)
         b  b0  b1  b2  b3
            12  13  14  15
         >>> # along axis 'b'
-        >>> arr.max(x.b)
+        >>> arr.max(X.b)
         a  a0  a1  a2  a3
             3   7  11  15
 
@@ -4079,7 +4079,7 @@ def max(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.max((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.max((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b  b0  b1  b2  b3
         a01   4   5   6   7
         a23  12  13  14  15
@@ -4115,11 +4115,11 @@ def max_by(self, *args, **kwargs):
         >>> arr.max_by()
         15
         >>> # along axis 'a'
-        >>> arr.max_by(x.a)
+        >>> arr.max_by(X.a)
         a  a0  a1  a2  a3
             3   7  11  15
         >>> # along axis 'b'
-        >>> arr.max_by(x.b)
+        >>> arr.max_by(X.b)
         b  b0  b1  b2  b3
            12  13  14  15
 
@@ -4140,7 +4140,7 @@ def max_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.max_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.max_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01  a23
              7   15
         >>> # or equivalently
@@ -4177,11 +4177,11 @@ def mean(self, *args, **kwargs):
         >>> arr.mean()
         7.5
         >>> # along axis 'a'
-        >>> arr.mean(x.a)
+        >>> arr.mean(X.a)
         b   b0   b1   b2   b3
            6.0  7.0  8.0  9.0
         >>> # along axis 'b'
-        >>> arr.mean(x.b)
+        >>> arr.mean(X.b)
         a   a0   a1   a2    a3
            1.5  5.5  9.5  13.5
 
@@ -4204,7 +4204,7 @@ def mean(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.mean((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.mean((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b    b0    b1    b2    b3
         a01   2.0   3.0   4.0   5.0
         a23  10.0  11.0  12.0  13.0
@@ -4242,11 +4242,11 @@ def mean_by(self, *args, **kwargs):
         >>> arr.mean()
         7.5
         >>> # along axis 'a'
-        >>> arr.mean_by(x.a)
+        >>> arr.mean_by(X.a)
         a   a0   a1   a2    a3
            1.5  5.5  9.5  13.5
         >>> # along axis 'b'
-        >>> arr.mean_by(x.b)
+        >>> arr.mean_by(X.b)
         b   b0   b1   b2   b3
            6.0  7.0  8.0  9.0
 
@@ -4267,7 +4267,7 @@ def mean_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.mean_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.mean_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01   a23
            3.5  11.5
         >>> # or equivalently
@@ -4308,11 +4308,11 @@ def median(self, *args, **kwargs):
         >>> arr.median()
         6.5
         >>> # along axis 'a'
-        >>> arr.median(x.a)
+        >>> arr.median(X.a)
         b   b0   b1   b2   b3
            7.5  7.5  4.0  8.0
         >>> # along axis 'b'
-        >>> arr.median(x.b)
+        >>> arr.median(X.b)
         a   a0   a1   a2   a3
            8.0  6.0  4.0  7.5
 
@@ -4335,7 +4335,7 @@ def median(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.median((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.median((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b   b0   b1   b2   b3
         a01  7.5  7.5  4.0  8.0
         a23  7.5  6.0  2.5  7.5
@@ -4377,11 +4377,11 @@ def median_by(self, *args, **kwargs):
         >>> arr.median_by()
         6.5
         >>> # along axis 'a'
-        >>> arr.median_by(x.a)
+        >>> arr.median_by(X.a)
         a   a0   a1   a2   a3
            8.0  6.0  4.0  7.5
         >>> # along axis 'b'
-        >>> arr.median_by(x.b)
+        >>> arr.median_by(X.b)
         b   b0   b1   b2   b3
            7.5  7.5  4.0  8.0
 
@@ -4402,7 +4402,7 @@ def median_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.median_by((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.median_by((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a  a01   a23
            7.0  5.75
         >>> # or equivalently
@@ -4443,15 +4443,15 @@ def percentile(self, q, *args, **kwargs):
         >>> arr.percentile(25)
         3.75
         >>> # along axis 'a'
-        >>> arr.percentile(25, x.a)
+        >>> arr.percentile(25, X.a)
         b   b0   b1   b2   b3
            3.0  4.0  5.0  6.0
         >>> # along axis 'b'
-        >>> arr.percentile(25, x.b)
+        >>> arr.percentile(25, X.b)
         a    a0    a1    a2     a3
            0.75  4.75  8.75  12.75
         >>> # several percentile values
-        >>> arr.percentile([25, 50, 75], x.b)
+        >>> arr.percentile([25, 50, 75], X.b)
         percentile\\a    a0    a1     a2     a3
                   25  0.75  4.75   8.75  12.75
                   50   1.5   5.5    9.5   13.5
@@ -4476,7 +4476,7 @@ def percentile(self, q, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.percentile(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.percentile(25, (X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b   b0    b1    b2    b3
         a01  1.0   2.0   3.0   4.0
         a23  9.0  10.0  11.0  12.0
@@ -4530,15 +4530,15 @@ def percentile_by(self, q, *args, **kwargs):
         >>> arr.percentile_by(25)
         3.75
         >>> # along axis 'a'
-        >>> arr.percentile_by(25, x.a)
+        >>> arr.percentile_by(25, X.a)
         a    a0    a1    a2     a3
            0.75  4.75  8.75  12.75
         >>> # along axis 'b'
-        >>> arr.percentile_by(25, x.b)
+        >>> arr.percentile_by(25, X.b)
         b   b0   b1   b2   b3
            3.0  4.0  5.0  6.0
         >>> # several percentile values
-        >>> arr.percentile_by([25, 50, 75], x.b)
+        >>> arr.percentile_by([25, 50, 75], X.b)
         percentile\\b   b0    b1    b2    b3
                   25  3.0   4.0   5.0   6.0
                   50  6.0   7.0   8.0   9.0
@@ -4561,7 +4561,7 @@ def percentile_by(self, q, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.percentile_by(25, (x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.percentile_by(25, (X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a   a01   a23
            1.75  9.75
         >>> # or equivalently
@@ -4611,11 +4611,11 @@ def ptp(self, *args, **kwargs):
         >>> arr.ptp()
         15
         >>> # along axis 'a'
-        >>> arr.ptp(x.a)
+        >>> arr.ptp(X.a)
         b  b0  b1  b2  b3
            12  12  12  12
         >>> # along axis 'b'
-        >>> arr.ptp(x.b)
+        >>> arr.ptp(X.b)
         a  a0  a1  a2  a3
             3   3   3   3
 
@@ -4638,7 +4638,7 @@ def ptp(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.ptp((x.a['a0', 'a1'] >> 'a01', x.a['a2', 'a3'] >> 'a23'))
+        >>> arr.ptp((X.a['a0', 'a1'] >> 'a01', X.a['a2', 'a3'] >> 'a23'))
         a\\b  b0  b1  b2  b3
         a01   4   4   4   4
         a23   4   4   4   4
@@ -4681,7 +4681,7 @@ def var(self, *args, **kwargs):
         >>> arr.var()
         4.7999999999999998
         >>> # along axis 'b'
-        >>> arr.var(x.b)
+        >>> arr.var(X.b)
         a   a0   a1
            4.0  4.0
 
@@ -4704,7 +4704,7 @@ def var(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.var((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        >>> arr.var((X.b['b0', 'b1', 'b3'] >> 'b013', X.b['b5:'] >> 'b567'))
         a\\b  b013  b567
          a0   9.0   1.0
          a1   4.0   1.0
@@ -4744,13 +4744,13 @@ def var_by(self, *args, **kwargs):
         >>> arr.var_by()
         4.7999999999999998
         >>> # along axis 'a'
-        >>> arr.var_by(x.a)
+        >>> arr.var_by(X.a)
         a   a0   a1
            4.0  4.0
 
         Select some columns only
 
-        >>> arr.var_by(x.a, ['b0','b1','b3'])
+        >>> arr.var_by(X.a, ['b0','b1','b3'])
         a   a0   a1
            9.0  4.0
         >>> # or equivalently
@@ -4758,7 +4758,7 @@ def var_by(self, *args, **kwargs):
 
         Split an axis in several parts
 
-        >>> arr.var_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
+        >>> arr.var_by(X.a, (['b0', 'b1', 'b3'], 'b5:'))
         a\\b  b0,b1,b3  b5:
          a0       9.0  1.0
          a1       4.0  1.0
@@ -4767,7 +4767,7 @@ def var_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.var_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        >>> arr.var_by(X.a, (X.b['b0', 'b1', 'b3'] >> 'b013', X.b['b5:'] >> 'b567'))
         a\\b  b013  b567
          a0   9.0   1.0
          a1   4.0   1.0
@@ -4807,7 +4807,7 @@ def std(self, *args, **kwargs):
         >>> arr.std()
         2.1908902300206643
         >>> # along axis 'b'
-        >>> arr.std(x.b)
+        >>> arr.std(X.b)
         a   a0   a1
            2.0  2.0
 
@@ -4830,7 +4830,7 @@ def std(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.std((x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        >>> arr.std((X.b['b0', 'b1', 'b3'] >> 'b013', X.b['b5:'] >> 'b567'))
         a\\b  b013  b567
          a0   3.0   1.0
          a1   2.0   1.0
@@ -4871,13 +4871,13 @@ def std_by(self, *args, **kwargs):
         >>> arr.std_by()
         2.1908902300206643
         >>> # along axis 'a'
-        >>> arr.std_by(x.a)
+        >>> arr.std_by(X.a)
         a   a0   a1
            2.0  2.0
 
         Select some columns only
 
-        >>> arr.std_by(x.a, ['b0','b1','b3'])
+        >>> arr.std_by(X.a, ['b0','b1','b3'])
         a   a0   a1
            3.0  2.0
         >>> # or equivalently
@@ -4885,7 +4885,7 @@ def std_by(self, *args, **kwargs):
 
         Split an axis in several parts
 
-        >>> arr.std_by(x.a, (['b0', 'b1', 'b3'], 'b5:'))
+        >>> arr.std_by(X.a, (['b0', 'b1', 'b3'], 'b5:'))
         a\\b  b0,b1,b3  b5:
          a0       3.0  1.0
          a1       2.0  1.0
@@ -4894,7 +4894,7 @@ def std_by(self, *args, **kwargs):
 
         Same with renaming
 
-        >>> arr.std_by(x.a, (x.b['b0', 'b1', 'b3'] >> 'b013', x.b['b5:'] >> 'b567'))
+        >>> arr.std_by(X.a, (X.b['b0', 'b1', 'b3'] >> 'b013', X.b['b5:'] >> 'b567'))
         a\\b  b013  b567
          a0   3.0   1.0
          a1   2.0   1.0
@@ -4943,7 +4943,7 @@ def cumsum(self, axis=-1):
          a1   4   9  15  22
          a2   8  17  27  38
          a3  12  25  39  54
-        >>> arr.cumsum(x.a)
+        >>> arr.cumsum(X.a)
         a\\b  b0  b1  b2  b3
          a0   0   1   2   3
          a1   4   6   8  10
@@ -4991,7 +4991,7 @@ def cumprod(self, axis=-1):
          a1   4   20   120    840
          a2   8   72   720   7920
          a3  12  156  2184  32760
-        >>> arr.cumprod(x.a)
+        >>> arr.cumprod(X.a)
         a\\b  b0   b1    b2    b3
          a0   0    1     2     3
          a1   0    5    12    21
@@ -5325,11 +5325,11 @@ def append(self, axis, value, label=None):
         nat\\sex    M    F
              BE  1.0  1.0
              FO  1.0  1.0
-        >>> a.append(x.sex, a.sum(x.sex), 'M+F')
+        >>> a.append(X.sex, a.sum(X.sex), 'M+F')
         nat\\sex    M    F  M+F
              BE  1.0  1.0  2.0
              FO  1.0  1.0  2.0
-        >>> a.append(x.nat, 2, 'Other')
+        >>> a.append(X.nat, 2, 'Other')
         nat\\sex    M    F
              BE  1.0  1.0
              FO  1.0  1.0
@@ -5338,7 +5338,7 @@ def append(self, axis, value, label=None):
         >>> b
         type  type1  type2
                 0.0    0.0
-        >>> a.append(x.nat, b, 'Other')
+        >>> a.append(X.nat, b, 'Other')
           nat  sex\\type  type1  type2
            BE         M    1.0    1.0
            BE         F    1.0    1.0
@@ -5382,11 +5382,11 @@ def prepend(self, axis, value, label=None):
         nat\sex    M    F
              BE  1.0  1.0
              FO  1.0  1.0
-        >>> a.prepend(x.sex, a.sum(x.sex), 'M+F')
+        >>> a.prepend(X.sex, a.sum(X.sex), 'M+F')
         nat\\sex  M+F    M    F
              BE  2.0  1.0  1.0
              FO  2.0  1.0  1.0
-        >>> a.prepend(x.nat, 2, 'Other')
+        >>> a.prepend(X.nat, 2, 'Other')
         nat\\sex    M    F
           Other  2.0  2.0
              BE  1.0  1.0
@@ -5395,7 +5395,7 @@ def prepend(self, axis, value, label=None):
         >>> b
         type  type1  type2
                 0.0    0.0
-        >>> a.prepend(x.nat, b, 'Other')
+        >>> a.prepend(X.nat, b, 'Other')
          type  nat\sex    M    F
         type1    Other  0.0  0.0
         type1       BE  1.0  1.0
@@ -5446,7 +5446,7 @@ def extend(self, axis, other):
         >>> arr2
         sex\\type  type1  type2
                U    0.0    0.0
-        >>> arr1.extend(x.sex, arr2)
+        >>> arr1.extend(X.sex, arr2)
         sex\\type  type1  type2
                M    1.0    1.0
                F    1.0    1.0
@@ -5455,7 +5455,7 @@ def extend(self, axis, other):
         >>> arr3
         sex\\nat   BE   FO
               U  0.0  0.0
-        >>> arr1.extend(x.sex, arr3)
+        >>> arr1.extend(X.sex, arr3)
         sex  type\\nat   BE   FO
           M     type1  1.0  1.0
           M     type2  1.0  1.0
@@ -6075,7 +6075,7 @@ def set_labels(self, axis, labels=None, inplace=False):
         nat\\sex  M  F
              BE  0  1
              FO  2  3
-        >>> a.set_labels(x.sex, ['Men', 'Women'])
+        >>> a.set_labels(X.sex, ['Men', 'Women'])
         nat\\sex  Men  Women
              BE    0      1
              FO    2      3
@@ -6083,14 +6083,14 @@ def set_labels(self, axis, labels=None, inplace=False):
         when passing a single string as labels, it will be interpreted to create the list of labels, so that one can
         use the same syntax than during axis creation.
 
-        >>> a.set_labels(x.sex, 'Men,Women')
+        >>> a.set_labels(X.sex, 'Men,Women')
         nat\\sex  Men  Women
              BE    0      1
              FO    2      3
 
         to replace only some labels, one must give a mapping giving the new label for each label to replace
 
-        >>> a.set_labels(x.sex, {'M': 'Men'})
+        >>> a.set_labels(X.sex, {'M': 'Men'})
         nat\\sex  Men  F
              BE    0  1
              FO    2  3
@@ -6157,11 +6157,11 @@ def shift(self, axis, n=1):
         sex\\type  type1  type2  type3
                M      0      1      2
                F      3      4      5
-        >>> a.shift(x.type)
+        >>> a.shift(X.type)
         sex\\type  type2  type3
                M      0      1
                F      3      4
-        >>> a.shift(x.type, n=-1)
+        >>> a.shift(X.type, n=-1)
         sex\\type  type1  type2
                M      1      2
                F      4      5
@@ -6202,7 +6202,7 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum(x.type)
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum(X.type)
         >>> a
         sex\\type  type1  type2  type3
                M      0      1      3
@@ -6215,7 +6215,7 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         sex\\type  type3
                M      1
                F      1
-        >>> a.diff(x.sex)
+        >>> a.diff(X.sex)
         sex\\type  type1  type2  type3
                F      3      6      9
         """
@@ -6344,7 +6344,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         a1   b0  12  13  14  15
         a1   b1  16  17  18  19
         a1   b2  20  21  22  23
-        >>> arr.combine_axes((x.a, x.c))
+        >>> arr.combine_axes((X.a, X.c))
         a_c\\b  b0  b1  b2
         a0_c0   0   4   8
         a0_c1   1   5   9
@@ -6396,7 +6396,7 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0_b0  a0_b1  a0_b2  a1_b0  a1_b1  a1_b2
                  0      1      2      3      4      5
-        >>> combined.split_axis(x.a_b)
+        >>> combined.split_axis(X.a_b)
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
@@ -6407,7 +6407,7 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
                 0     1     2     3     4     5
-        >>> combined.split_axis(x.a_b, regex='(\w{2})(\w{2})')
+        >>> combined.split_axis(X.a_b, regex='(\w{2})(\w{2})')
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
@@ -6850,7 +6850,7 @@ def sequence(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     >>> sequence(3)
     {0}*  0  1  2
           0  1  2
-    >>> sequence(x.year, axes=(sex, year))
+    >>> sequence(X.year, axes=(sex, year))
     sex\\year  2016  2017  2018  2019
            M     0     1     2     3
            F     0     1     2     3
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 1cafb3c58..607b31eac 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -15,7 +15,7 @@
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id
 
-__all__ = ['Axis', 'AxisCollection', 'x']
+__all__ = ['Axis', 'AxisCollection', 'X', 'x']
 
 
 class Axis(ABCAxis):
@@ -1741,9 +1741,9 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
 
         Replace one axis (second argument `new_axis` must be provided)
 
-        >>> axes.replace(x.a, row)  # doctest: +SKIP
+        >>> axes.replace(X.a, row)  # doctest: +SKIP
         >>> # or
-        >>> axes.replace(x.a, "row=r0,r1")
+        >>> axes.replace(X.a, "row=r0,r1")
         AxisCollection([
             Axis(['r0', 'r1'], 'row'),
             Axis(['b0', 'b1', 'b2'], 'b')
@@ -1755,9 +1755,9 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
         >>> # or
         >>> axes.replace(a="row=r0,r1", b="column=c0,c1,c2")  # doctest: +SKIP
         >>> # or
-        >>> axes.replace([(x.a, row), (x.b, column)])  # doctest: +SKIP
+        >>> axes.replace([(X.a, row), (X.b, column)])  # doctest: +SKIP
         >>> # or
-        >>> axes.replace({x.a: row, x.b: column})
+        >>> axes.replace({X.a: row, X.b: column})
         AxisCollection([
             Axis(['r0', 'r1'], 'row'),
             Axis(['c0', 'c1', 'c2'], 'column')
@@ -2290,7 +2290,7 @@ def __init__(self, name):
         self._iswildcard = False
 
     def translate(self, key):
-        raise NotImplementedError("an AxisReference (x.) cannot translate labels")
+        raise NotImplementedError("an AxisReference (X.) cannot translate labels")
 
     def __repr__(self):
         return 'AxisReference(%r)' % self.name
@@ -2324,5 +2324,24 @@ def __getitem__(self, key):
         return AxisReference(key)
 
 
-x = AxisReferenceFactory()
+X = AxisReferenceFactory()
 
+
+class DeprecatedAxisReferenceFactory(object):
+    # needed to make pickle work (because we have a __getattr__ which does not return AttributeError on __getstate__)
+    def __getstate__(self):
+        return self.__dict__
+
+    def __setstate__(self, d):
+        self.__dict__ = d
+
+    def __getattr__(self, key):
+        warnings.warn("Special variable 'x' is deprecated, use 'X' instead", FutureWarning, stacklevel=2)
+        return AxisReference(key)
+
+    def __getitem__(self, key):
+        warnings.warn("Special variable 'x' is deprecated, use 'X' instead", FutureWarning, stacklevel=2)
+        return AxisReference(key)
+
+
+x = DeprecatedAxisReferenceFactory()
\ No newline at end of file
diff --git a/larray/core/group.py b/larray/core/group.py
index a41f2f07d..18ab435c3 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -898,7 +898,7 @@ def by(self, length, step=None):
 
         Examples
         --------
-        >>> from larray import Axis, x
+        >>> from larray import Axis, X
         >>> age = Axis(range(10), 'age')
         >>> age[[1, 2, 3, 4, 5]].by(2)
         (age[1, 2], age[3, 4], age[5])
@@ -908,7 +908,7 @@ def by(self, length, step=None):
         (age.i[1:3], age.i[5:6])
         >>> age[1:5].by(3, 2)
         (age.i[1:4], age.i[3:6], age.i[5:6])
-        >>> x.age[[0, 1, 2, 3, 4]].by(2)
+        >>> X.age[[0, 1, 2, 3, 4]].by(2)
         (x.age[0, 1], x.age[2, 3], x.age[4])
         """
         if step is None:
@@ -1207,12 +1207,12 @@ class LGroup(Group):
 
     Examples
     --------
-    >>> from larray import Axis, x
+    >>> from larray import Axis, X
     >>> age = Axis('0..100', 'age')
-    >>> teens = x.age[10:19].named('teens')
+    >>> teens = X.age[10:19].named('teens')
     >>> teens
     x.age[10:19] >> 'teens'
-    >>> teens = x.age[10:19] >> 'teens'
+    >>> teens = X.age[10:19] >> 'teens'
     >>> teens
     x.age[10:19] >> 'teens'
     """
diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index 1e6430b2d..e81235003 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -123,12 +123,12 @@ def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabo
 
     and some targets for each year:
 
-    >>> btargets = initial.sum(x.a) + 1
+    >>> btargets = initial.sum(X.a) + 1
     >>> btargets
     b\year  2014  2015  2016
         b0     7     9    11
         b1    13    15    17
-    >>> atargets = initial.sum(x.b) + 1
+    >>> atargets = initial.sum(X.b) + 1
     >>> atargets
     a\year  2014  2015  2016
         a0     4     6     8
@@ -138,7 +138,7 @@ def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabo
     the year axis, but you can also apply the procedure for all years at once by using the axes argument. This is
     *much* faster than an explicit loop.
 
-    >>> result = ipfp([btargets, atargets], initial, axes=(x.a, x.b))
+    >>> result = ipfp([btargets, atargets], initial, axes=(X.a, X.b))
     """
     assert nzvzs in {'fix', 'warn', 'raise'}
     assert no_convergence in {'ignore', 'warn', 'raise'}
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 6028e1959..8ea78981e 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -15,7 +15,7 @@
 
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
-                    clip, exp, where, x, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
+                    clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, df_aslarray, sequence)
 from larray.core.axis import _to_ticks, _to_key
 
@@ -269,8 +269,8 @@ def test_getitem_abstract_axes(self):
         raw = self.array
         la = self.larray
         age, geo, sex, lipro = la.axes
-        age159 = x.age[1, 5, 9]
-        lipro159 = x.lipro['P01,P05,P09']
+        age159 = X.age[1, 5, 9]
+        lipro159 = X.lipro['P01,P05,P09']
 
         # LGroup at "correct" place
         subset = la[age159]
@@ -298,18 +298,18 @@ def test_getitem_abstract_axes(self):
 
         # key with duplicate axes
         with self.assertRaises(ValueError):
-            la[x.age[1, 2], x.age[3]]
+            la[X.age[1, 2], X.age[3]]
 
         # key with invalid axis
         with self.assertRaises(KeyError):
-            la[x.bad[1, 2], x.age[3, 4]]
+            la[X.bad[1, 2], X.age[3, 4]]
 
     def test_getitem_anonymous_axes(self):
         la = ndrange((3, 4))
         raw = la.data
-        assert_array_equal(la[x[0][1:]], raw[1:])
-        assert_array_equal(la[x[1][2:]], raw[:, 2:])
-        assert_array_equal(la[x[0][2:], x[1][1:]], raw[2:, 1:])
+        assert_array_equal(la[X[0][1:]], raw[1:])
+        assert_array_equal(la[X[1][2:]], raw[:, 2:])
+        assert_array_equal(la[X[0][2:], X[1][1:]], raw[2:, 1:])
         assert_array_equal(la.i[2:, 1:], raw[2:, 1:])
 
     def test_getitem_guess_axis(self):
@@ -422,8 +422,8 @@ def test_getitem_abstract_positional(self):
         raw = self.array
         la = self.larray
         age, geo, sex, lipro = la.axes
-        age159 = x.age.i[1, 5, 9]
-        lipro159 = x.lipro.i[0, 4, 8]
+        age159 = X.age.i[1, 5, 9]
+        lipro159 = X.lipro.i[0, 4, 8]
 
         # LGroup at "correct" place
         subset = la[age159]
@@ -453,7 +453,7 @@ def test_getitem_abstract_positional(self):
 
         # key with duplicate axes
         with self.assertRaisesRegexp(ValueError, "key has several values for axis: age"):
-            la[x.age.i[2, 3], x.age.i[1, 5]]
+            la[X.age.i[2, 3], X.age.i[1, 5]]
 
     def test_getitem_bool_larray_key(self):
         arr = ndtest((3, 2, 4))
@@ -485,7 +485,7 @@ def test_getitem_bool_larray_and_group_key(self):
         assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
 
         # using axis reference
-        res = arr['a0,a2', x.b < 3, 'c0:c3']
+        res = arr['a0,a2', X.b < 3, 'c0:c3']
         assert isinstance(res, LArray)
         assert res.ndim == 3
         assert_array_equal(res, arr['a0,a2', '0:2', 'c0:c3'])
@@ -524,7 +524,7 @@ def test_getitem_int_larray_lgroup_key(self):
         # key values go from 0 to 3
         key = ndrange((2, 2)).rename(0, 'a').rename(1, 'b')
         # this replaces 'e' axis by 'a' and 'b' axes
-        res = arr[x.e[key]]
+        res = arr[X.e[key]]
         self.assertEqual(res.shape, (2, 2, 2, 2))
         self.assertEqual(res.axes.names, ['c', 'd', 'a', 'b'])
 
@@ -692,7 +692,7 @@ def test_getitem_ndarray_key_guess(self):
         key = np.array(keys)
         res = la[key]
         self.assertTrue(isinstance(res, LArray))
-        self.assertEqual(res.axes, la.axes.replace(x.lipro, Axis(keys, 'lipro')))
+        self.assertEqual(res.axes, la.axes.replace(X.lipro, Axis(keys, 'lipro')))
         assert_array_equal(res, raw[:, :, :, [3, 0, 2, 1]])
 
     def test_getitem_int_larray_key_guess(self):
@@ -1204,11 +1204,11 @@ def test_sum_full_axes_with_nan(self):
         self.assertTrue(isnan(la.sum(skipna=False)))
 
         # using Axis objects
-        assert_array_nan_equal(la.sum(x.age), np.nansum(raw, 0))
-        assert_array_nan_equal(la.sum(x.age, skipna=False), raw.sum(0))
+        assert_array_nan_equal(la.sum(X.age), np.nansum(raw, 0))
+        assert_array_nan_equal(la.sum(X.age, skipna=False), raw.sum(0))
 
-        assert_array_nan_equal(la.sum(x.age, x.sex), np.nansum(raw, (0, 2)))
-        assert_array_nan_equal(la.sum(x.age, x.sex, skipna=False), raw.sum((0, 2)))
+        assert_array_nan_equal(la.sum(X.age, X.sex), np.nansum(raw, (0, 2)))
+        assert_array_nan_equal(la.sum(X.age, X.sex, skipna=False), raw.sum((0, 2)))
 
     def test_sum_full_axes_keep_axes(self):
         la = self.larray
@@ -1227,14 +1227,14 @@ def test_mean_full_axes(self):
         raw = self.array
 
         self.assertEqual(la.mean(), np.mean(raw))
-        assert_array_nan_equal(la.mean(x.age), np.mean(raw, 0))
-        assert_array_nan_equal(la.mean(x.age, x.sex), np.mean(raw, (0, 2)))
+        assert_array_nan_equal(la.mean(X.age), np.mean(raw, 0))
+        assert_array_nan_equal(la.mean(X.age, X.sex), np.mean(raw, (0, 2)))
 
     def test_mean_groups(self):
         # using int type to test that we get a float in return
         la = self.larray.astype(int)
         raw = self.array
-        res = la.mean(x.geo['A11', 'A13', 'A24', 'A31'])
+        res = la.mean(X.geo['A11', 'A13', 'A24', 'A31'])
         assert_array_nan_equal(res, np.mean(raw[:, [0, 2, 4, 5]], 1))
 
     def test_median_full_axes(self):
@@ -1242,14 +1242,14 @@ def test_median_full_axes(self):
         raw = self.array
 
         self.assertEqual(la.median(), np.median(raw))
-        assert_array_nan_equal(la.median(x.age), np.median(raw, 0))
-        assert_array_nan_equal(la.median(x.age, x.sex), np.median(raw, (0, 2)))
+        assert_array_nan_equal(la.median(X.age), np.median(raw, 0))
+        assert_array_nan_equal(la.median(X.age, X.sex), np.median(raw, (0, 2)))
 
     def test_median_groups(self):
         la = self.larray
         raw = self.array
 
-        res = la.median(x.geo['A11', 'A13', 'A24'])
+        res = la.median(X.geo['A11', 'A13', 'A24'])
         self.assertEqual(res.shape, (116, 2, 15))
         assert_array_nan_equal(res, np.median(raw[:, [0, 2, 4]], 1))
 
@@ -1257,22 +1257,22 @@ def test_percentile_full_axes(self):
         arr = ndtest((2, 3, 4))
         raw = arr.data
         self.assertEqual(arr.percentile(10), np.percentile(raw, 10))
-        assert_array_nan_equal(arr.percentile(10, x.a), np.percentile(raw, 10, 0))
-        assert_array_nan_equal(arr.percentile(10, x.c, x.a), np.percentile(raw, 10, (2, 0)))
+        assert_array_nan_equal(arr.percentile(10, X.a), np.percentile(raw, 10, 0))
+        assert_array_nan_equal(arr.percentile(10, X.c, X.a), np.percentile(raw, 10, (2, 0)))
 
     def test_percentile_groups(self):
         arr = ndtest((2, 5, 3))
         raw = arr.data
 
-        res = arr.percentile(10, x.b['b0', 'b2', 'b4'])
+        res = arr.percentile(10, X.b['b0', 'b2', 'b4'])
         assert_array_nan_equal(res, np.percentile(raw[:, [0, 2, 4]], 10, 1))
 
     def test_cumsum(self):
         la = self.larray
 
         # using Axis objects
-        assert_array_equal(la.cumsum(x.age), self.array.cumsum(0))
-        assert_array_equal(la.cumsum(x.lipro), self.array.cumsum(3))
+        assert_array_equal(la.cumsum(X.age), self.array.cumsum(0))
+        assert_array_equal(la.cumsum(X.lipro), self.array.cumsum(3))
 
         # using axes numbers
         assert_array_equal(la.cumsum(1), self.array.cumsum(1))
@@ -1534,7 +1534,7 @@ def test_group_agg_label_group_no_axis(self):
 
     def test_group_agg_axis_ref_label_group(self):
         la = self.larray
-        age, geo, sex, lipro = x.age, x.geo, x.sex, x.lipro
+        age, geo, sex, lipro = X.age, X.geo, X.sex, X.lipro
         vla, wal, bru = geo[self.vla_str], geo[self.wal_str], geo[self.bru_str]
         belgium = geo[self.belgium]
 
@@ -1895,9 +1895,9 @@ def test_agg_kwargs(self):
         self.assertEqual(la.std(ddof=0), data.std(ddof=0))
 
         # out
-        res = la.std(x.sex)
+        res = la.std(X.sex)
         out = zeros_like(res)
-        la.std(x.sex, out=out)
+        la.std(X.sex, out=out)
         assert_array_equal(res, out)
 
     def test_agg_by(self):
@@ -1958,7 +1958,7 @@ def test_agg_by(self):
 
     def test_agg_pgroup(self):
         arr = ndtest(3)
-        res = arr.sum((x.a.i[:2], x.a.i[1:]))
+        res = arr.sum((X.a.i[:2], X.a.i[1:]))
         assert_array_equal(res.a.labels, [':a1', 'a1:'])
 
     def test_ratio(self):
@@ -2039,15 +2039,15 @@ def test_total(self):
         # .with_total((fla, wal, bru)).with_total(x.geo)
         # OR we might want to only sum the axis as it was before the op (but that does not play well when working with
         #    multiple axes).
-        a1 = la.with_total(x.sex, (fla, wal, bru), x.geo, x.lipro)
+        a1 = la.with_total(X.sex, (fla, wal, bru), X.geo, X.lipro)
         self.assertEqual(a1.shape, (116, 48, 3, 16))
 
         # correct total but the order is not very nice
-        a2 = la.with_total(x.sex, x.geo, (fla, wal, bru), x.lipro)
+        a2 = la.with_total(X.sex, X.geo, (fla, wal, bru), X.lipro)
         self.assertEqual(a2.shape, (116, 48, 3, 16))
 
         # the correct way to do it
-        a3 = la.with_total(x.sex, (fla, wal, bru, bel), x.lipro)
+        a3 = la.with_total(X.sex, (fla, wal, bru, bel), X.lipro)
         self.assertEqual(a3.shape, (116, 48, 3, 16))
 
         # a4 = la.with_total((lipro[':P05'], lipro['P05:']), op=mean)
@@ -2275,8 +2275,8 @@ def test_sequence(self):
 
     def test_set_labels(self):
         la = self.small.copy()
-        la.set_labels(x.sex, ['Man', 'Woman'], inplace=True)
-        assert_array_equal(la, self.small.set_labels(x.sex, ['Man', 'Woman']))
+        la.set_labels(X.sex, ['Man', 'Woman'], inplace=True)
+        assert_array_equal(la, self.small.set_labels(X.sex, ['Man', 'Woman']))
 
     def test_replace_axes(self):
         lipro2 = Axis([l.replace('P', 'Q') for l in self.lipro.labels], 'lipro2')
@@ -2285,7 +2285,7 @@ def test_replace_axes(self):
         la = LArray(self.small_data, axes=(self.sex, lipro2),
                     title=self.small_title)
         # replace one axis
-        la2 = self.small.set_axes(x.lipro, lipro2)
+        la2 = self.small.set_axes(X.lipro, lipro2)
         assert_array_equal(la, la2)
         self.assertEqual(la.title, la2.title, "title of array returned by replace_axes should be the same as the "
                                               "original one. We got '{}' instead of '{}'".format(la2.title, la.title))
@@ -2298,28 +2298,28 @@ def test_replace_axes(self):
         la2 = self.small.set_axes(sex=sex2, lipro=lipro2)
         assert_array_equal(la, la2)
         # using dict
-        la2 = self.small.set_axes({x.sex: sex2, x.lipro: lipro2})
+        la2 = self.small.set_axes({X.sex: sex2, X.lipro: lipro2})
         assert_array_equal(la, la2)
         # using list of pairs (axis_to_replace, new_axis)
-        la2 = self.small.set_axes([(x.sex, sex2), (x.lipro, lipro2)])
+        la2 = self.small.set_axes([(X.sex, sex2), (X.lipro, lipro2)])
         assert_array_equal(la, la2)
 
     def test_reindex(self):
         arr = ndtest((2, 2))
-        res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1)
+        res = arr.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=-1)
         assert_array_equal(res, from_string("""a\\b  b1  b2  b0
                                                  a0   1  -1   0
                                                  a1   3  -1   2"""))
 
         arr2 = ndtest((2, 2))
-        arr2.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=-1, inplace=True)
+        arr2.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=-1, inplace=True)
         assert_array_equal(arr2, from_string("""a\\b  b1  b2  b0
                                                   a0   1  -1   0
                                                   a1   3  -1   2"""))
 
         # LArray fill value
         filler = ndrange(arr.a)
-        res = arr.reindex(x.b, ['b1', 'b2', 'b0'], fill_value=filler)
+        res = arr.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=filler)
         assert_array_equal(res, from_string("""a\\b  b1  b2  b0
                                                  a0   1   0   0
                                                  a1   3   1   2"""))
@@ -2452,7 +2452,7 @@ def test_read_csv(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
         la = read_csv(abspath('test1d_liam2.csv'), dialect='liam2')
@@ -2465,7 +2465,7 @@ def test_read_csv(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
     def test_read_eurostat(self):
@@ -2474,7 +2474,7 @@ def test_read_eurostat(self):
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         # FIXME: integer labels should be parsed as such
-        assert_array_equal(la[x.arr['1'], '0', 'F', x.nat['1'], :],
+        assert_array_equal(la[X.arr['1'], '0', 'F', X.nat['1'], :],
                            [3722, 3395, 3347])
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
@@ -2501,7 +2501,7 @@ def test_read_excel_xlwings(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
@@ -2543,14 +2543,14 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
         la = read_excel(abspath('test.xlsx'), '5d', engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
     def test_df_aslarray(self):
@@ -2581,7 +2581,7 @@ def test_to_csv(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[x.arr[1], 0, 'F', x.nat[1], :],
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
         la.to_csv(abspath('out.csv'))
@@ -2997,7 +2997,7 @@ def test_ufuncs(self):
 
         # self.assertIs(la_out2, la_out)
         # XXX: why is la_out2 transposed?
-        assert_array_equal(la_out2.transpose(x.a), la_out)
+        assert_array_equal(la_out2.transpose(X.a), la_out)
         self.assertIs(raw_out2, raw_out)
 
         assert_array_equal(la_out, raw_out)
@@ -3288,21 +3288,21 @@ def test_plot(self):
 
     def test_combine_axes(self):
         arr = ndtest((2, 3, 4, 5))
-        res = arr.combine_axes((x.a, x.b))
+        res = arr.combine_axes((X.a, X.b))
         self.assertEqual(res.axes.names, ['a_b', 'c', 'd'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2 * 3, 4, 5))
         assert_array_equal(res.axes.a_b.labels[:2], ['a0_b0', 'a0_b1'])
         assert_array_equal(res['a1_b0'], arr['a1', 'b0'])
 
-        res = arr.combine_axes((x.a, x.c))
+        res = arr.combine_axes((X.a, X.c))
         self.assertEqual(res.axes.names, ['a_c', 'b', 'd'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2 * 4, 3, 5))
         assert_array_equal(res.axes.a_c.labels[:2], ['a0_c0', 'a0_c1'])
         assert_array_equal(res['a1_c0'], arr['a1', 'c0'])
 
-        res = arr.combine_axes((x.b, x.d))
+        res = arr.combine_axes((X.b, X.d))
         self.assertEqual(res.axes.names, ['a', 'b_d', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3 * 5, 4))
@@ -3311,14 +3311,14 @@ def test_combine_axes(self):
 
     def test_split_axis(self):
         arr = ndtest((2, 3, 4, 5))
-        comb = arr.combine_axes((x.b, x.d))
+        comb = arr.combine_axes((X.b, X.d))
         self.assertEqual(comb.axes.names, ['a', 'b_d', 'c'])
         # default delimiter '_'
         res = comb.split_axis('b_d')
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
-        assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
+        assert_array_equal(res.transpose(X.a, X.b, X.c, X.d), arr)
         # regex
         names = ['b', 'd']
         regex = '(\w+)_(\w+)'
@@ -3326,7 +3326,7 @@ def test_split_axis(self):
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
-        assert_array_equal(res.transpose(x.a, x.b, x.c, x.d), arr)
+        assert_array_equal(res.transpose(X.a, X.b, X.c, X.d), arr)
 
     def test_stack(self):
         sex = Axis('sex=M,F')
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index 81fed3301..0711c5f39 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -5,7 +5,7 @@
 import pytest
 
 from larray.tests.common import assert_array_equal
-from larray import Axis, LArray, ndrange, ndtest, ipfp, x
+from larray import Axis, LArray, ndrange, ndtest, ipfp, X
 
 
 class TestIPFP(TestCase):
@@ -102,21 +102,21 @@ def test_ipfp_3d_with_axes(self):
         initial_axes = initial.axes
 
         # array sums already match target sums (first axes)
-        axes = (x.a, x.b)
+        axes = (X.a, X.b)
         targets = [initial.sum(axis) for axis in axes]
         r = ipfp(targets, initial, axes=axes)
         assert_array_equal(r, initial)
         self.assertEqual(r.axes, initial_axes)
 
         # array sums already match target sums (other axes)
-        axes = (x.a, x.c)
+        axes = (X.a, X.c)
         targets = [initial.sum(axis) for axis in axes]
         r = ipfp(targets, initial, axes=axes)
         assert_array_equal(r, initial)
         self.assertEqual(r.axes, initial_axes)
 
         # array sums do not match target sums (ie the usual case) (first axes)
-        axes = (x.a, x.b)
+        axes = (X.a, X.b)
         targets = [initial.sum(axis) + 1 for axis in axes]
         r = ipfp(targets, initial, axes=axes)
         assert_array_equal(r, [[[0.0,               1.3059701492537312],
@@ -129,7 +129,7 @@ def test_ipfp_3d_with_axes(self):
         assert_array_equal(r['c1'], ipfp([t['c1'] for t in targets], initial['c1']))
 
         # array sums do not match target sums (ie the usual case) (other axes)
-        axes = (x.a, x.c)
+        axes = (X.a, X.c)
         targets = [initial.sum(axis) + 1 for axis in axes]
         r = ipfp(targets, initial, axes=axes)
         assert_array_equal(r, [[[0.0,               2.0              ],

From c5aa76503da18ec1accd25fc0b007b732c9a76d3 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 20 Sep 2017 10:02:13 +0200
Subject: [PATCH 750/899] fix #393 : support arguments fill_value, sort_columns
 and sort_rows in read_excel with xlwings (#435)

fix #393 : allowed to use arguments fill_value, sort_columns and sort_rows from read_excel in case engine=xlwings
---
 doc/source/changes/version_0_26.rst.inc |   8 +++---
 larray/io/array.py                      |  34 ++++++++++++++--------
 larray/io/excel.py                      |  12 +++++---
 larray/tests/test.xlsx                  | Bin 11950 -> 13312 bytes
 larray/tests/test_array.py              |  36 ++++++++++++++++++++++++
 5 files changed, 70 insertions(+), 20 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index c6d61bf57..bdf16e602 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -40,11 +40,11 @@ Miscellaneous improvements
      v1    3    4    5
      v2  nan  nan  nan
 
-* `read_excel` displays an error message when arguments `na`, `sort_rows` or `sort_columns` are used
-  with the default `xlwings` engine
-
 * replaced `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions by `fill_value`
-  (closes :issue:`394`)
+  (closes :issue:`394`).
+
+* arguments `fill_value`, `sort_rows` and `sort_columns` of `read_excel` function are also supported by the default
+  `xlwings` engine (closes :issue:`393`).
 
 * allowed to pass a label or group as `sheet_name` argument of the method `to_excel` or to a Workbook (`open_excel`).
   Same for `key` argument of the method `to_hdf`. Closes :issue:`328`.
diff --git a/larray/io/array.py b/larray/io/array.py
index 44867e303..f7131905b 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -346,18 +346,10 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
         if kwargs:
             raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
                             .format(list(kwargs.keys())[0]))
-        if not np.isnan(fill_value):
-            raise NotImplementedError("fill_value argument is not currently supported with the (default) "
-                                      "xlwings engine")
-        if sort_rows:
-            raise NotImplementedError("sort_rows argument is not currently supported with the (default) "
-                                      "xlwings engine")
-        if sort_columns:
-            raise NotImplementedError("sort_columns argument is not currently supported with the (default) "
-                                      "xlwings engine")
         from larray.io.excel import open_excel
         with open_excel(filepath) as wb:
-            return wb[sheetname].load(index_col=index_col)
+            return wb[sheetname].load(index_col=index_col, fill_value=fill_value, sort_rows=sort_rows,
+                                      sort_columns=sort_columns)
     else:
         df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
         return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None,
@@ -388,7 +380,7 @@ def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.n
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value)
 
 
-def from_lists(data, nb_index=None, index_col=None):
+def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows=False, sort_columns=False):
     """
     initialize array from a list of lists (lines)
 
@@ -401,6 +393,14 @@ def from_lists(data, nb_index=None, index_col=None):
         by using the position of the first '\' in the first line.
     index_col : list, optional
         List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+    fill_value : scalar or LArray, optional
+        Value used to fill cells corresponding to label combinations which are not present in the input.
+        Defaults to NaN.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
 
     Returns
     -------
@@ -436,6 +436,15 @@ def from_lists(data, nb_index=None, index_col=None):
       M       FO   2.0   0.0   0.0
       F       BE   0.0   0.0   1.0
       F       FO   nan   nan   nan
+    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    ...             [  'M', 'BE',           1,    0,    0],
+    ...             [  'M', 'FO',           2,    0,    0],
+    ...             [  'F', 'BE',           0,    0,    1]], fill_value=42)
+    sex  nat\\year  1991  1992  1993
+      M        BE     1     0     0
+      M        FO     2     0     0
+      F        BE     0     0     1
+      F        FO    42    42    42
     """
     if nb_index is not None and index_col is not None:
         raise ValueError("cannot specify both nb_index and index_col")
@@ -448,7 +457,8 @@ def from_lists(data, nb_index=None, index_col=None):
     if index_col is not None:
         df.set_index([df.columns[c] for c in index_col], inplace=True)
 
-    return df_aslarray(df, raw=index_col is None, parse_header=False)
+    return df_aslarray(df, raw=index_col is None, parse_header=False, sort_rows=sort_rows, sort_columns=sort_columns,
+                       fill_value=fill_value)
 
 
 def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 7c1f96320..244a42d29 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -332,8 +332,10 @@ def __getattr__(self, key):
         def __setattr__(self, key, value):
             setattr(self.xw_sheet, key, value)
 
-        def load(self, header=True, convert_float=True, nb_index=None, index_col=None):
-            return self[:].load(header=header, convert_float=convert_float, nb_index=nb_index, index_col=index_col)
+        def load(self, header=True, convert_float=True, nb_index=None, index_col=None, fill_value=np.nan,
+                 sort_rows=False, sort_columns=False):
+            return self[:].load(header=header, convert_float=convert_float, nb_index=nb_index, index_col=index_col,
+                                sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value)
 
         # TODO: generalize to more than 2 dimensions or scrap it
         def array(self, data, row_labels=None, column_labels=None, names=None):
@@ -459,14 +461,16 @@ def __str__(self):
             return str(self.__larray__())
         __repr__ = __str__
 
-        def load(self, header=True, convert_float=True, nb_index=None, index_col=None):
+        def load(self, header=True, convert_float=True, nb_index=None, index_col=None, fill_value=np.nan,
+                 sort_rows=False, sort_columns=False):
             if not self.ndim:
                 return LArray([])
 
             list_data = self._converted_value(convert_float=convert_float)
 
             if header:
-                return from_lists(list_data, nb_index=nb_index, index_col=index_col)
+                return from_lists(list_data, nb_index=nb_index, index_col=index_col, fill_value=fill_value,
+                                  sort_rows=sort_rows, sort_columns=sort_columns)
             else:
                 return LArray(list_data)
 
diff --git a/larray/tests/test.xlsx b/larray/tests/test.xlsx
index 393b567429885e6792818224e78824b12f94f62b..4d9314fb1848bca9c1cd52eda255ac1e00d4753f 100644
GIT binary patch
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diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 8ea78981e..2748194bb 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2504,6 +2504,15 @@ def test_read_excel_xlwings(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        # fill_value argument
+        la = read_excel(abspath('test.xlsx'), 'missing_values', fill_value=42)
+        assert la.ndim == 3
+        assert la.shape == (5, 2, 3)
+        assert la.axes.names == ['age', 'sex', 'time']
+        assert_array_equal(la[1, 'H', :], [42, 42, 42])
+        assert_array_equal(la[4, 'F', :], [42, 42, 42])
+
+        # invalid keyword argument
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
                                                 "the xlwings backend"):
             read_excel(abspath('test.xlsx'), engine='xlwings', dtype=float)
@@ -2553,6 +2562,33 @@ def test_read_excel_pandas(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+    def test_from_lists(self):
+        # sort_rows
+        arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                          ['F', 'BE', 0, 0, 1],
+                          ['F', 'FO', 0, 0, 2],
+                          ['M', 'BE', 1, 0, 0],
+                          ['M', 'FO', 2, 0, 0]])
+        sorted_arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                                 ['M', 'BE', 1, 0, 0],
+                                 ['M', 'FO', 2, 0, 0],
+                                 ['F', 'BE', 0, 0, 1],
+                                 ['F', 'FO', 0, 0, 2]], sort_rows=True)
+        assert_array_equal(sorted_arr, arr)
+
+        # sort_columns
+        arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                          ['M', 'BE', 1, 0, 0],
+                          ['M', 'FO', 2, 0, 0],
+                          ['F', 'BE', 0, 0, 1],
+                          ['F', 'FO', 0, 0, 2]])
+        sorted_arr = from_lists([['sex', 'nat\\year', 1992, 1991, 1993],
+                                 ['M', 'BE', 0, 1, 0],
+                                 ['M', 'FO', 0, 2, 0],
+                                 ['F', 'BE', 0, 0, 1],
+                                 ['F', 'FO', 0, 0, 2]], sort_columns=True)
+        assert_array_equal(sorted_arr, arr)
+
     def test_df_aslarray(self):
         dt = [('age', int), ('sex', 'U1'),
               ('2007', int), ('2010', int), ('2013', int)]

From 94a0cc4975e5f1f09e3dd72844eca671871721f9 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 20 Sep 2017 15:43:55 +0200
Subject: [PATCH 751/899] removed useless if statement in _make_axis()   (#430)

* updated _make_axis() in case of string argument --> string arg is handled in Axis.init

* updated Axis.labels and _to_ticks --> added 'parse_single_int' argument
---
 doc/source/changes/version_0_26.rst.inc |  2 +-
 larray/core/axis.py                     |  5 +----
 larray/core/group.py                    |  6 +++---
 larray/tests/test_axis.py               | 11 +++++++++++
 4 files changed, 16 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index bdf16e602..0d661ac5f 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -117,4 +117,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* fixed array creation with axis(es) given as string containing only one label (axis name and label were inversed).
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 607b31eac..c1aab4fd6 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -187,7 +187,7 @@ def labels(self, labels):
             # we convert to an ndarray to save memory for scalar ticks (for
             # LGroup ticks, it does not make a difference since a list of LGroup
             # and an ndarray of LGroup are both arrays of pointers)
-            ticks = _to_ticks(labels)
+            ticks = _to_ticks(labels, parse_single_int=True)
             if _contain_group_ticks(ticks):
                 # avoid getting a 2d array if all LGroup have the same length
                 labels = np.empty(len(ticks), dtype=object)
@@ -1032,9 +1032,6 @@ def _make_axis(obj):
         return Axis(labels, name)
     elif isinstance(obj, Group):
         return Axis(obj.eval(), obj.axis)
-    elif isinstance(obj, str) and '=' in obj:
-        name, labels = [o.strip() for o in obj.split('=')]
-        return Axis(labels, name)
     else:
         # int, str, list, ndarray
         return Axis(obj)
diff --git a/larray/core/group.py b/larray/core/group.py
index 18ab435c3..d13106d2c 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -364,7 +364,7 @@ def _to_tick(v):
         return str(v)
 
 
-def _to_ticks(s):
+def _to_ticks(s, parse_single_int=False):
     """
     Makes a (list of) value(s) usable as the collection of labels for an Axis (ie hashable).
 
@@ -410,10 +410,10 @@ def _to_ticks(s):
     elif sys.version >= '3' and isinstance(s, range):
         return list(s)
     elif isinstance(s, basestring):
-        seq = _seq_str_to_seq(s)
+        seq = _seq_str_to_seq(s, parse_single_int=parse_single_int)
         if isinstance(seq, slice):
             raise ValueError("using : to define axes is deprecated, please use .. instead")
-        elif isinstance(seq, basestring):
+        elif isinstance(seq, (basestring, int)):
             return [seq]
         else:
             return seq
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index e8af1cf23..8fa9c05d3 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -21,6 +21,10 @@ def test_init(self):
         sex_list = ['M', 'F']
         sex_array = np.array(sex_list)
 
+        # wildcard axis
+        axis = Axis(10, 'axis')
+        assert len(axis) == 10
+        assert list(axis.labels) == list(range(10))
         # tuple of strings
         assert_array_equal(Axis(sex_tuple, 'sex').labels, sex_array)
         # list of strings
@@ -527,6 +531,13 @@ def test_init_from_group(self):
         assert_array_equal(col2.lipro.labels, ['P01', 'P02', 'P03'])
         assert_array_equal(col2.sex.labels, ['M', 'F'])
 
+    def test_init_from_string(self):
+        col = AxisCollection('age=10;sex=M,F;year=2000..2017')
+        assert col.names == ['age', 'sex', 'year']
+        assert list(col.age.labels) == [10]
+        assert list(col.sex.labels) == ['M', 'F']
+        assert list(col.year.labels) == [y for y in range(2000, 2018)]
+
     def test_eq(self):
         col = self.collection
         self.assertEqual(col, col)

From 540dac5aed58b788d2cc799caf0dd25ffb537d07 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 22 Sep 2017 09:13:02 +0200
Subject: [PATCH 752/899] fix #383 : allowed keyword arguments in set_labels
 (#440)

fix #383 : allowed keyword arguments in set_labels
---
 doc/source/changes/version_0_26.rst.inc | 12 ++++++++++++
 larray/core/array.py                    | 20 +++++++++++++++++---
 2 files changed, 29 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 0d661ac5f..42bb8283f 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -112,6 +112,18 @@ Miscellaneous improvements
     >>> group_even_year
     year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
 
+* allowed to use keyword arguments in `set_labels` (closes :issue:`383`):
+
+    >>> a = ndrange('nat=BE,FO;sex=M,F')
+    >>> a
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
+    >>> a.set_labels(sex='Men,Women', nat='Belgian,Foreigner')
+      nat\sex  Men  Women
+      Belgian    0      1
+    Foreigner    2      3
+
 * allowed passing an axis to `set_labels` as 'labels' argument (closes :issue:`408`).
 
 Fixes
diff --git a/larray/core/array.py b/larray/core/array.py
index c34880e4d..4704cfa82 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6048,7 +6048,7 @@ def __array__(self, dtype=None):
     BE  0  1
     FO  2  3
     """
-    def set_labels(self, axis, labels=None, inplace=False):
+    def set_labels(self, axis=None, labels=None, inplace=False, **kwargs):
         """Replaces the labels of an axis of array.
 
         Parameters
@@ -6062,6 +6062,8 @@ def set_labels(self, axis, labels=None, inplace=False):
         inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
             Defaults to False.
+        **kwargs : 
+            `axis`=`labels` for each axis you want to set labels. 
 
         Returns
         -------
@@ -6102,6 +6104,13 @@ def set_labels(self, axis, labels=None, inplace=False):
           nat\\sex  Men  Women
           Belgian    0      1
         Foreigner    2      3
+        
+        or use keyword arguments
+        
+        >>> a.set_labels(sex='Men,Women', nat='Belgian,Foreigner')
+          nat\\sex  Men  Women
+          Belgian    0      1
+        Foreigner    2      3
 
         one can also replace some labels in several axes by giving a mapping of mappings
 
@@ -6110,10 +6119,15 @@ def set_labels(self, axis, labels=None, inplace=False):
         Belgian    0  1
              FO    2  3
         """
-        if isinstance(axis, dict):
+        if axis is None:
+            changes = {}
+        elif isinstance(axis, dict):
             changes = axis
-        else:
+        elif isinstance(axis, (basestring, Axis, int)):
             changes = {axis: labels}
+        else:
+            raise ValueError("Expected None or a string/int/Axis/dict instance for axis argument")
+        changes.update(kwargs)
         # TODO: we should implement the non-dict behavior in Axis.replace, so that we can simplify this code to:
         # new_axes = [self.axes[old_axis].replace(axis_changes) for old_axis, axis_changes in changes.items()]
         new_axes = []

From 145c65e1bb55c6397c0e0b4ba616429cc892be4d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 13 Sep 2017 16:11:35 +0200
Subject: [PATCH 753/899] fix #382 : allowed to combine M axes into N axes
 using a list or a dict in combine_axes()

---
 doc/source/changes/version_0_26.rst.inc |  27 ++++++
 larray/core/array.py                    |  95 +++++++++++++-----
 larray/core/axis.py                     | 122 ++++++++++++++++++------
 larray/tests/test_array.py              |  34 +++++++
 4 files changed, 223 insertions(+), 55 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 42bb8283f..5c887dcdb 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -112,6 +112,33 @@ Miscellaneous improvements
     >>> group_even_year
     year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
 
+* allowed to perform several axes combinations at once with the `combine_axes()` method (closes :issue:`382`):
+
+    >>> arr = ndtest((2, 2, 2, 2))
+    >>> arr
+     a   b  c\d  d0  d1
+    a0  b0   c0   0   1
+    a0  b0   c1   2   3
+    a0  b1   c0   4   5
+    a0  b1   c1   6   7
+    a1  b0   c0   8   9
+    a1  b0   c1  10  11
+    a1  b1   c0  12  13
+    a1  b1   c1  14  15
+    >>> arr.combine_axes([('a', 'c'), ('b', 'd')])
+    a_c\b_d  b0_d0  b0_d1  b1_d0  b1_d1
+      a0_c0      0      1      4      5
+      a0_c1      2      3      6      7
+      a1_c0      8      9     12     13
+      a1_c1     10     11     14     15
+    >>> # set output axes names by passing a dictionary
+    >>> arr.combine_axes({('a', 'c'): 'ac', ('b', 'd'): 'bd'})
+    ac\bd  b0_d0  b0_d1  b1_d0  b1_d1
+    a0_c0      0      1      4      5
+    a0_c1      2      3      6      7
+    a1_c0      8      9     12     13
+    a1_c1     10     11     14     15
+
 * allowed to use keyword arguments in `set_labels` (closes :issue:`383`):
 
     >>> a = ndrange('nat=BE,FO;sex=M,F')
diff --git a/larray/core/array.py b/larray/core/array.py
index 4704cfa82..0be5a46f7 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6323,8 +6323,10 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
 
         Parameters
         ----------
-        axes : tuple, list or AxisCollection of axes, optional
-            axes to combine. Defaults to all axes.
+        axes : tuple, list, AxisCollection of axes or list of combination of those or dict, optional
+            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes 
+            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es), 
+            use a {(axes, to, combine): 'new_axis_name'} dictionary. Defaults to all axes.
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
@@ -6349,31 +6351,74 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         >>> arr.combine_axes(sep='/')
         a/b  a0/b0  a0/b1  a0/b2  a1/b0  a1/b1  a1/b2
                  0      1      2      3      4      5
-        >>> arr = ndtest((2, 3, 4))
+        >>> arr = ndtest((2, 2, 2, 2))
         >>> arr
-         a  b\\c  c0  c1  c2  c3
-        a0   b0   0   1   2   3
-        a0   b1   4   5   6   7
-        a0   b2   8   9  10  11
-        a1   b0  12  13  14  15
-        a1   b1  16  17  18  19
-        a1   b2  20  21  22  23
-        >>> arr.combine_axes((X.a, X.c))
-        a_c\\b  b0  b1  b2
-        a0_c0   0   4   8
-        a0_c1   1   5   9
-        a0_c2   2   6  10
-        a0_c3   3   7  11
-        a1_c0  12  16  20
-        a1_c1  13  17  21
-        a1_c2  14  18  22
-        a1_c3  15  19  23
+         a   b  c\\d  d0  d1
+        a0  b0   c0   0   1
+        a0  b0   c1   2   3
+        a0  b1   c0   4   5
+        a0  b1   c1   6   7
+        a1  b0   c0   8   9
+        a1  b0   c1  10  11
+        a1  b1   c0  12  13
+        a1  b1   c1  14  15
+        >>> arr.combine_axes(('a', 'c'))
+          a_c  b\\d  d0  d1
+        a0_c0   b0   0   1
+        a0_c0   b1   4   5
+        a0_c1   b0   2   3
+        a0_c1   b1   6   7
+        a1_c0   b0   8   9
+        a1_c0   b1  12  13
+        a1_c1   b0  10  11
+        a1_c1   b1  14  15
+        >>> arr.combine_axes({('a', 'c'): 'ac'})
+           ac  b\\d  d0  d1
+        a0_c0   b0   0   1
+        a0_c0   b1   4   5
+        a0_c1   b0   2   3
+        a0_c1   b1   6   7
+        a1_c0   b0   8   9
+        a1_c0   b1  12  13
+        a1_c1   b0  10  11
+        a1_c1   b1  14  15
+        
+        # make several combinations at once
+        
+        >>> arr.combine_axes([('a', 'c'), ('b', 'd')])
+        a_c\\b_d  b0_d0  b0_d1  b1_d0  b1_d1
+          a0_c0      0      1      4      5
+          a0_c1      2      3      6      7
+          a1_c0      8      9     12     13
+          a1_c1     10     11     14     15
+        >>> arr.combine_axes({('a', 'c'): 'ac', ('b', 'd'): 'bd'})
+        ac\\bd  b0_d0  b0_d1  b1_d0  b1_d1
+        a0_c0      0      1      4      5
+        a0_c1      2      3      6      7
+        a1_c0      8      9     12     13
+        a1_c1     10     11     14     15
         """
-        axes = self.axes if axes is None else self.axes[axes]
-        # transpose all axes next to each other, using position of first axis
-        axes_indices = [self.axes.index(axis) for axis in axes]
-        min_axis_index = min(axes_indices)
-        transposed_axes = self.axes[:min_axis_index] + axes + self.axes
+        if axes is None:
+            axes = {tuple(self.axes): None}
+        elif isinstance(axes, AxisCollection):
+            axes = {tuple(axes): None}
+        elif isinstance(axes, (list, tuple)):
+            # checks for nested tuple/list
+            if all(isinstance(axis, (list, tuple, AxisCollection)) for axis in axes):
+                axes = {tuple(axes_to_combine): None for axes_to_combine in axes}
+            else:
+                axes = {tuple(axes): None}
+        # axes should be a dict at this time
+        assert isinstance(axes, dict)
+
+        transposed_axes = self.axes[:]
+        for axes_to_combine, name in axes.items():
+            # transpose all axes next to each other, using position of first axis
+            axes_to_combine = self.axes[axes_to_combine]
+            axes_indices = [transposed_axes.index(axis) for axis in axes_to_combine]
+            min_axis_index = min(axes_indices)
+            transposed_axes = transposed_axes - axes_to_combine
+            transposed_axes = transposed_axes[:min_axis_index] + axes_to_combine + transposed_axes[min_axis_index:]
         transposed = self.transpose(transposed_axes)
 
         new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
diff --git a/larray/core/axis.py b/larray/core/axis.py
index c1aab4fd6..b1f29ce23 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2079,8 +2079,10 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
 
         Parameters
         ----------
-        axes : tuple, list or AxisCollection of axes, optional
-            axes to combine. Defaults to all axes.
+        axes : tuple, list, AxisCollection of axes or list of combination of those or dict, optional
+            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes 
+            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es), 
+            use a {(axes, to, combine): 'new_axis_name'} dictionary. Defaults to all axes.
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
         wildcard : bool, optional
@@ -2094,39 +2096,99 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         -------
         AxisCollection
             New AxisCollection with combined axes.
+            
+        Examples
+        --------
+        >>> axes = AxisCollection('a=a0,a1;b=b0..b2')
+        >>> axes
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+        >>> axes.combine_axes()
+        AxisCollection([
+            Axis(['a0_b0', 'a0_b1', 'a0_b2', 'a1_b0', 'a1_b1', 'a1_b2'], 'a_b')
+        ])
+        >>> axes.combine_axes(sep='/')
+        AxisCollection([
+            Axis(['a0/b0', 'a0/b1', 'a0/b2', 'a1/b0', 'a1/b1', 'a1/b2'], 'a/b')
+        ])
+        >>> axes += AxisCollection('c=c0..c2;d=d0,d1')
+        >>> axes.combine_axes(('a', 'c'))
+        AxisCollection([
+            Axis(['a0_c0', 'a0_c1', 'a0_c2', 'a1_c0', 'a1_c1', 'a1_c2'], 'a_c'),
+            Axis(['b0', 'b1', 'b2'], 'b'),
+            Axis(['d0', 'd1'], 'd')
+        ])
+        >>> axes.combine_axes({('a', 'c'): 'ac'})
+        AxisCollection([
+            Axis(['a0_c0', 'a0_c1', 'a0_c2', 'a1_c0', 'a1_c1', 'a1_c2'], 'ac'),
+            Axis(['b0', 'b1', 'b2'], 'b'),
+            Axis(['d0', 'd1'], 'd')
+        ])
+        
+        # make several combinations at once
+        
+        >>> axes.combine_axes([('a', 'c'), ('b', 'd')])
+        AxisCollection([
+            Axis(['a0_c0', 'a0_c1', 'a0_c2', 'a1_c0', 'a1_c1', 'a1_c2'], 'a_c'),
+            Axis(['b0_d0', 'b0_d1', 'b1_d0', 'b1_d1', 'b2_d0', 'b2_d1'], 'b_d')
+        ])
+        >>> axes.combine_axes({('a', 'c'): 'ac', ('b', 'd'): 'bd'})
+        AxisCollection([
+            Axis(['a0_c0', 'a0_c1', 'a0_c2', 'a1_c0', 'a1_c1', 'a1_c2'], 'ac'),
+            Axis(['b0_d0', 'b0_d1', 'b1_d0', 'b1_d1', 'b2_d0', 'b2_d1'], 'bd')
+        ])
         """
-        axes = self if axes is None else self[axes]
-        axes_indices = [self.index(axis) for axis in axes]
-        diff = np.diff(axes_indices)
-        # combined axes in front
-        if front_if_spread and np.any(diff > 1):
-            combined_axis_pos = 0
-        else:
-            combined_axis_pos = min(axes_indices)
+        if axes is None:
+            axes = {tuple(self): None}
+        elif isinstance(axes, AxisCollection):
+            axes = {tuple(self[axes]): None}
+        elif isinstance(axes, (list, tuple)):
+            # checks for nested tuple/list
+            if all(isinstance(axis, (list, tuple, AxisCollection)) for axis in axes):
+                axes = {tuple(self[axes_to_combine]): None for axes_to_combine in axes}
+            else:
+                axes = {tuple(self[axes]): None}
+        # axes should be a dict at this time
+        assert isinstance(axes, dict)
+
+        new_axes = self[:]
+        for _axes, name in axes.items():
+            _axes = new_axes[_axes]
+            axes_indices = [new_axes.index(axis) for axis in _axes]
+            diff = np.diff(axes_indices)
+            # combined axes in front
+            if front_if_spread and np.any(diff > 1):
+                combined_axis_pos = 0
+            else:
+                combined_axis_pos = min(axes_indices)
 
-        # all anonymous axes => anonymous combined axis
-        if all(axis.name is None for axis in axes):
-            combined_name = None
-        else:
-            combined_name = sep.join(str(id_) for id_ in axes.ids)
+            if name is not None:
+                combined_name = name
+            # all anonymous axes => anonymous combined axis
+            elif all(axis.name is None for axis in _axes):
+                combined_name = None
+            else:
+                combined_name = sep.join(str(id_) for id_ in _axes.ids)
 
-        if wildcard:
-            combined_axis = Axis(axes.size, combined_name)
-        else:
-            # TODO: the combined keys should be objects which display as: (axis1_label, axis2_label, ...) but
-            # which should also store the axes names)
-            # Q: Should it be the same object as the NDLGroup?/NDKey?
-            # A: yes. On the Pandas backend, we could/should have separate axes. On the numpy backend we cannot.
-            if len(axes) == 1:
-                # Q: if axis is a wildcard axis, should the result be a wildcard axis (and axes_labels discarded?)
-                combined_labels = axes[0].labels
+            if wildcard:
+                combined_axis = Axis(_axes.size, combined_name)
             else:
-                combined_labels = [sep.join(str(l) for l in p)
-                                   for p in product(*axes.labels)]
+                # TODO: the combined keys should be objects which display as: (axis1_label, axis2_label, ...) but
+                # which should also store the axes names)
+                # Q: Should it be the same object as the NDLGroup?/NDKey?
+                # A: yes. On the Pandas backend, we could/should have separate axes. On the numpy backend we cannot.
+                if len(_axes) == 1:
+                    # Q: if axis is a wildcard axis, should the result be a wildcard axis (and axes_labels discarded?)
+                    combined_labels = _axes[0].labels
+                else:
+                    combined_labels = [sep.join(str(l) for l in p)
+                                       for p in product(*_axes.labels)]
 
-            combined_axis = Axis(combined_labels, combined_name)
-        new_axes = self - axes
-        new_axes.insert(combined_axis_pos, combined_axis)
+                combined_axis = Axis(combined_labels, combined_name)
+            new_axes = new_axes - _axes
+            new_axes.insert(combined_axis_pos, combined_axis)
         return new_axes
 
     def split_axis(self, axis, sep='_', names=None, regex=None):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 2748194bb..e60c0c3b9 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3323,6 +3323,8 @@ def test_plot(self):
         #large.hist()
 
     def test_combine_axes(self):
+        # combine N axes into 1
+        # =====================
         arr = ndtest((2, 3, 4, 5))
         res = arr.combine_axes((X.a, X.b))
         self.assertEqual(res.axes.names, ['a_b', 'c', 'd'])
@@ -3345,6 +3347,38 @@ def test_combine_axes(self):
         assert_array_equal(res.axes.b_d.labels[:2], ['b0_d0', 'b0_d1'])
         assert_array_equal(res['b1_d0'], arr['b1', 'd0'])
 
+        # combine M axes into N
+        # =====================
+        arr = ndtest((2, 3, 4, 4, 3, 2))
+
+        # using a list of tuples
+        res = arr.combine_axes([('a', 'c'), ('b', 'f'), ('d', 'e')])
+        assert res.axes.names == ['a_c', 'b_f', 'd_e']
+        assert res.size == arr.size
+        assert res.shape == (2 * 4, 3 * 2, 4 * 3)
+        assert list(res.axes.a_c.labels[:2]) == ['a0_c0', 'a0_c1']
+        assert list(res.axes.b_f.labels[:2]) == ['b0_f0', 'b0_f1']
+        assert list(res.axes.d_e.labels[:2]) == ['d0_e0', 'd0_e1']
+        assert res['a0_c2', 'b1_f1', 'd3_e2'] == arr['a0', 'b1', 'c2', 'd3', 'e2', 'f1']
+
+        res = arr.combine_axes([('a', 'c'), ('b', 'e', 'f')])
+        assert res.axes.names == ['a_c', 'b_e_f', 'd']
+        assert res.size == arr.size
+        assert res.shape == (2 * 4, 3 * 3 * 2, 4)
+        assert list(res.axes.b_e_f.labels[:4]) == ['b0_e0_f0', 'b0_e0_f1', 'b0_e1_f0', 'b0_e1_f1']
+        assert_array_equal(res['a0_c2', 'b1_e2_f1'], arr['a0', 'b1', 'c2', 'e2', 'f1'])
+
+        # using a dict (-> user defined axes names)
+        res = arr.combine_axes({('a', 'c'): 'AC', ('b', 'f'): 'BF', ('d', 'e'): 'DE'})
+        assert res.axes.names == ['AC', 'BF', 'DE']
+        assert res.size == arr.size
+        assert res.shape == (2 * 4, 3 * 2, 4 * 3)
+
+        res = arr.combine_axes({('a', 'c'): 'AC', ('b', 'e', 'f'): 'BEF'})
+        assert res.axes.names == ['AC', 'BEF', 'd']
+        assert res.size == arr.size
+        assert res.shape == (2 * 4, 3 * 3 * 2, 4)
+
     def test_split_axis(self):
         arr = ndtest((2, 3, 4, 5))
         comb = arr.combine_axes((X.b, X.d))

From b84f1eddd8b74392c31726601217e6196f0609f1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 12 Sep 2017 15:08:36 +0200
Subject: [PATCH 754/899] fix #366 : renamed split_axis as split_axes + allowed
 to split several axes at once

---
 doc/source/api.rst                      |   4 +-
 doc/source/changes/version_0_26.rst.inc |  30 ++++++
 larray/core/array.py                    |  52 ++++++++--
 larray/core/axis.py                     | 127 +++++++++++++++++++-----
 larray/tests/test_array.py              |  62 +++++++++++-
 5 files changed, 237 insertions(+), 38 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index d454010ea..984b77df2 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -176,7 +176,7 @@ Modifying/Selecting
    AxisCollection.replace
    AxisCollection.without
    AxisCollection.combine_axes
-   AxisCollection.split_axis
+   AxisCollection.split_axes
    AxisCollection.align
 
 Testing
@@ -301,7 +301,7 @@ Changing Axes or Labels
    LArray.rename
    LArray.set_labels
    LArray.combine_axes
-   LArray.split_axis
+   LArray.split_axes
 
 .. _la_agg:
 
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 5c887dcdb..7da1d8849 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -112,6 +112,36 @@ Miscellaneous improvements
     >>> group_even_year
     year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
 
+* renamed `split_axis` as `split_axes` which now allows to split several axes at once (closes :issue:`366`):
+
+    >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
+    >>> combined
+    a_b\c_d  c0_d0  c0_d1  c1_d0  c1_d1
+      a0_b0      0      1      2      3
+      a0_b1      4      5      6      7
+      a1_b0      8      9     10     11
+      a1_b1     12     13     14     15
+    >>> combined.split_axes(['a_b', 'c_d'])
+     a   b  c\d  d0  d1
+    a0  b0   c0   0   1
+    a0  b0   c1   2   3
+    a0  b1   c0   4   5
+    a0  b1   c1   6   7
+    a1  b0   c0   8   9
+    a1  b0   c1  10  11
+    a1  b1   c0  12  13
+    a1  b1   c1  14  15
+    >>> combined.split_axes({'a_b': ('A', 'B'), 'c_d': ('C', 'D')})
+     A   B  C\D  d0  d1
+    a0  b0   c0   0   1
+    a0  b0   c1   2   3
+    a0  b1   c0   4   5
+    a0  b1   c1   6   7
+    a1  b0   c0   8   9
+    a1  b0   c1  10  11
+    a1  b1   c0  12  13
+    a1  b1   c1  14  15
+
 * allowed to perform several axes combinations at once with the `combine_axes()` method (closes :issue:`382`):
 
     >>> arr = ndtest((2, 2, 2, 2))
diff --git a/larray/core/array.py b/larray/core/array.py
index 0be5a46f7..b175536bd 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6424,13 +6424,15 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
         return transposed.reshape(new_axes)
 
-    def split_axis(self, axis, sep='_', names=None, regex=None):
-        """Split one axis and returns a new array
+    def split_axes(self, axes, sep='_', names=None, regex=None):
+        """Split axes and returns a new array
 
         Parameters
         ----------
-        axis : int, str or Axis
-            axis to split. All its labels *must* contain the given delimiter string.
+        axes : int, str, Axis or any combination of those
+            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass 
+            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)} 
+            dictionary. Defaults to all axes whose name contains the `sep` delimiter.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'.
             When `regex` is provided, the delimiter is only used on `names` if given as one string or on axis name if
@@ -6455,7 +6457,7 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0_b0  a0_b1  a0_b2  a1_b0  a1_b1  a1_b2
                  0      1      2      3      4      5
-        >>> combined.split_axis(X.a_b)
+        >>> combined.split_axes('a_b')
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
@@ -6466,12 +6468,48 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
                 0     1     2     3     4     5
-        >>> combined.split_axis(X.a_b, regex='(\w{2})(\w{2})')
+        >>> combined.split_axes('a_b', regex='(\w{2})(\w{2})')
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
+         
+        Split several axes at once
+        
+        >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
+        >>> combined 
+        a_b\\c_d  c0_d0  c0_d1  c1_d0  c1_d1
+          a0_b0      0      1      2      3
+          a0_b1      4      5      6      7
+          a1_b0      8      9     10     11
+          a1_b1     12     13     14     15
+        >>> # equivalent to combined.split_axes() which split all axes 
+        >>> # whose name contains the `sep` delimiter. 
+        >>> combined.split_axes(['a_b', 'c_d'])
+         a   b  c\\d  d0  d1
+        a0  b0   c0   0   1
+        a0  b0   c1   2   3
+        a0  b1   c0   4   5
+        a0  b1   c1   6   7
+        a1  b0   c0   8   9
+        a1  b0   c1  10  11
+        a1  b1   c0  12  13
+        a1  b1   c1  14  15
+        >>> combined.split_axes({'a_b': ('A', 'B'), 'c_d': ('C', 'D')})
+         A   B  C\\D  d0  d1
+        a0  b0   c0   0   1
+        a0  b0   c1   2   3
+        a0  b1   c0   4   5
+        a0  b1   c1   6   7
+        a1  b0   c0   8   9
+        a1  b0   c1  10  11
+        a1  b1   c0  12  13
+        a1  b1   c1  14  15
         """
-        return self.reshape(self.axes.split_axis(axis, sep, names, regex))
+        return self.reshape(self.axes.split_axes(axes, sep, names, regex))
+
+    def split_axis(self, axis=None, sep='_', names=None, regex=None):
+        warnings.warn("split_axis() has been renamed to split_axes()", FutureWarning, stacklevel=2)
+        return self.split_axes(axis, sep, names, regex)
 
 
 def aslarray(a):
diff --git a/larray/core/axis.py b/larray/core/axis.py
index b1f29ce23..8bc8cd91f 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2191,13 +2191,15 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
             new_axes.insert(combined_axis_pos, combined_axis)
         return new_axes
 
-    def split_axis(self, axis, sep='_', names=None, regex=None):
-        """Split one axis and returns a new collection
+    def split_axes(self, axes, sep='_', names=None, regex=None):
+        """Split axes and returns a new collection
 
         Parameters
         ----------
-        axis : int, str or Axis
-            axis to split. All its labels *must* contain the given delimiter string.
+        axes : int, str, Axis or any combination of those, optional 
+            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass 
+            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)} 
+            dictionary. Defaults to all axes whose name contains the `sep` delimiter.     
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'. When `regex` is provided, the delimiter is only used on
             `names` if given as one string or on axis name if `names` is None.
@@ -2209,32 +2211,105 @@ def split_axis(self, axis, sep='_', names=None, regex=None):
         Returns
         -------
         AxisCollection
+        
+        Examples
+        --------
+        >>> col = AxisCollection('a=a0,a1;b=b0..b2')
+        >>> col
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+        >>> combined = col.combine_axes()
+        >>> combined
+        AxisCollection([
+            Axis(['a0_b0', 'a0_b1', 'a0_b2', 'a1_b0', 'a1_b1', 'a1_b2'], 'a_b')
+        ])
+        >>> combined.split_axes('a_b')
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+
+        Split labels using regex
+
+        >>> combined = AxisCollection('a_b = a0b0..a1b2')
+        >>> combined
+        AxisCollection([
+            Axis(['a0b0', 'a0b1', 'a0b2', 'a1b0', 'a1b1', 'a1b2'], 'a_b')
+        ])
+        >>> combined.split_axes('a_b', regex='(\w{2})(\w{2})')
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1', 'b2'], 'b')
+        ])
+         
+        Split several axes at once
+        
+        >>> combined = AxisCollection('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
+        >>> combined 
+        AxisCollection([
+            Axis(['a0_b0', 'a0_b1', 'a1_b0', 'a1_b1'], 'a_b'),
+            Axis(['c0_d0', 'c0_d1', 'c1_d0', 'c1_d1'], 'c_d')
+        ])
+        >>> # equivalent to combined.split_axes() which split all axes 
+        >>> # containing the delimiter defined by the argument `sep` 
+        >>> combined.split_axes(['a_b', 'c_d'])
+        AxisCollection([
+            Axis(['a0', 'a1'], 'a'),
+            Axis(['b0', 'b1'], 'b'),
+            Axis(['c0', 'c1'], 'c'),
+            Axis(['d0', 'd1'], 'd')
+        ])
+        >>> combined.split_axes({'a_b': ('A', 'B'), 'c_d': ('C', 'D')})
+        AxisCollection([
+            Axis(['a0', 'a1'], 'A'),
+            Axis(['b0', 'b1'], 'B'),
+            Axis(['c0', 'c1'], 'C'),
+            Axis(['d0', 'd1'], 'D')
+        ])
         """
-        axis = self[axis]
-        axis_index = self.index(axis)
-        if names is None:
-            if sep not in axis.name:
-                raise ValueError('{} not found in axis name ({})'.format(sep, axis.name))
+        if axes is None:
+            axes = {axis: None for axis in self if sep in axis.name}
+        elif isinstance(axes, (int, basestring, Axis)):
+            axes = {axes: None}
+        elif isinstance(axes, (list, tuple)):
+            if all(isinstance(axis, (int, basestring, Axis)) for axis in axes):
+                axes = {axis: None for axis in axes}
             else:
-                names = axis.name.split(sep)
-        elif isinstance(names, str):
-            if sep not in names:
-                raise ValueError('{} not found in names ({})'.format(sep, names))
+                raise ValueError("Expected tuple or list of int, string or Axis instances")
+        # axes should be a dict at this time
+        assert isinstance(axes, dict)
+
+        new_axes = self[:]
+        for axis, names in axes.items():
+            axis = new_axes[axis]
+            axis_index = new_axes.index(axis)
+            if names is None:
+                if sep not in axis.name:
+                    raise ValueError('{} not found in axis name ({})'.format(sep, axis.name))
+                else:
+                    _names = axis.name.split(sep)
+            elif isinstance(names, str):
+                if sep not in names:
+                    raise ValueError('{} not found in names ({})'.format(sep, names))
+                else:
+                    _names = names.split(sep)
             else:
-                names = names.split(sep)
-        else:
-            assert all(isinstance(name, str) for name in names)
+                assert all(isinstance(name, str) for name in names)
+                _names = names
 
-        if not regex:
-            # gives us an array of lists
-            split_labels = np.char.split(axis.labels, sep)
-        else:
-            rx = re.compile(regex)
-            split_labels = [rx.match(l).groups() for l in axis.labels]
-        # not using np.unique because we want to keep the original order
-        axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
-        split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, names)]
-        return self[:axis_index] + split_axes + self[axis_index + 1:]
+            if not regex:
+                # gives us an array of lists
+                split_labels = np.char.split(axis.labels, sep)
+            else:
+                rx = re.compile(regex)
+                split_labels = [rx.match(l).groups() for l in axis.labels]
+            # not using np.unique because we want to keep the original order
+            axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
+            split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, _names)]
+            new_axes = new_axes[:axis_index] + split_axes + new_axes[axis_index + 1:]
+        return new_axes
 
     def align(self, other, join='outer', axes=None):
         """Align this axis collection with another.
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index e60c0c3b9..90652029f 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3379,12 +3379,14 @@ def test_combine_axes(self):
         assert res.size == arr.size
         assert res.shape == (2 * 4, 3 * 3 * 2, 4)
 
-    def test_split_axis(self):
+    def test_split_axes(self):
+        # split one axis
+        # ==============
         arr = ndtest((2, 3, 4, 5))
         comb = arr.combine_axes((X.b, X.d))
         self.assertEqual(comb.axes.names, ['a', 'b_d', 'c'])
         # default delimiter '_'
-        res = comb.split_axis('b_d')
+        res = comb.split_axes('b_d')
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
@@ -3392,12 +3394,66 @@ def test_split_axis(self):
         # regex
         names = ['b', 'd']
         regex = '(\w+)_(\w+)'
-        res = comb.split_axis('b_d', names=names, regex=regex)
+        res = comb.split_axes('b_d', names=names, regex=regex)
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
         assert_array_equal(res.transpose(X.a, X.b, X.c, X.d), arr)
 
+        # split several axes at once
+        # ==========================
+        arr = ndrange('a_b=a0_b0..a1_b2; c=c0..c3; d=d0..d3; e_f=e0_f0..e2_f1')
+
+        # using a list of tuples
+        res = arr.split_axes(['a_b', 'e_f'])
+        assert res.axes.names == ['a', 'b', 'c', 'd', 'e', 'f']
+        assert res.size == arr.size
+        assert res.shape == (2, 3, 4, 4, 3, 2)
+        assert list(res.axes.a.labels) == ['a0', 'a1']
+        assert list(res.axes.b.labels) == ['b0', 'b1', 'b2']
+        assert list(res.axes.e.labels) == ['e0', 'e1', 'e2']
+        assert list(res.axes.f.labels) == ['f0', 'f1']
+        assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0_b1', 'c2', 'd3', 'e2_f1']
+
+        # default to all axes with name containing the delimiter _
+        # assert_array_equal(arr.split_axes(), res)
+
+        # using a dict (-> user defined axes names)
+        res = arr.split_axes({'a_b': ('A', 'B'), 'e_f': ('E', 'F')})
+        assert res.axes.names == ['A', 'B', 'c', 'd', 'E', 'F']
+        assert res.size == arr.size
+        assert res.shape == (2, 3, 4, 4, 3, 2)
+
+        # split an axis in more than 2 axes
+        arr = ndrange('a_b_c=a0_b0_c0..a1_b2_c3; d=d0..d3; e_f=e0_f0..e2_f1')
+        res = arr.split_axes(['a_b_c', 'e_f'])
+        assert res.axes.names == ['a', 'b', 'c', 'd', 'e', 'f']
+        assert res.size == arr.size
+        assert res.shape == (2, 3, 4, 4, 3, 2)
+        assert list(res.axes.a.labels) == ['a0', 'a1']
+        assert list(res.axes.b.labels) == ['b0', 'b1', 'b2']
+        assert list(res.axes.e.labels) == ['e0', 'e1', 'e2']
+        assert list(res.axes.f.labels) == ['f0', 'f1']
+        assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0_b1_c2', 'd3', 'e2_f1']
+
+        # split an axis in more than 2 axes + passing a dict
+        res = arr.split_axes({'a_b_c': ('A', 'B', 'C'), 'e_f': ('E', 'F')})
+        assert res.axes.names == ['A', 'B', 'C', 'd', 'E', 'F']
+        assert res.size == arr.size
+        assert res.shape == (2, 3, 4, 4, 3, 2)
+
+        # using regex
+        arr = ndrange('ab=a0b0..a1b2; c=c0..c3; d=d0..d3; ef=e0f0..e2f1')
+        res = arr.split_axes({'ab': ('a', 'b'), 'ef': ('e', 'f')}, regex='(\w{2})(\w{2})')
+        assert res.axes.names == ['a', 'b', 'c', 'd', 'e', 'f']
+        assert res.size == arr.size
+        assert res.shape == (2, 3, 4, 4, 3, 2)
+        assert list(res.axes.a.labels) == ['a0', 'a1']
+        assert list(res.axes.b.labels) == ['b0', 'b1', 'b2']
+        assert list(res.axes.e.labels) == ['e0', 'e1', 'e2']
+        assert list(res.axes.f.labels) == ['f0', 'f1']
+        assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0b1', 'c2', 'd3', 'e2f1']
+
     def test_stack(self):
         sex = Axis('sex=M,F')
         arr1 = ones('nat=BE, FO')

From 501d3adc04b538b67909605854b146773d21f598 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 12 Sep 2017 15:04:22 +0200
Subject: [PATCH 755/899] fix #365 : split_axes -> axes default to all axes
 containing sep delimiter

---
 doc/source/changes/version_0_26.rst.inc | 21 +++++++++++++++++++++
 larray/core/array.py                    |  4 ++--
 larray/core/axis.py                     |  4 ++--
 larray/tests/test_array.py              |  2 +-
 4 files changed, 26 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 7da1d8849..b1d026bdd 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -142,6 +142,27 @@ Miscellaneous improvements
     a1  b1   c0  12  13
     a1  b1   c1  14  15
 
+* argument `axes` of `split_axes` has become optional: defaults to all axes whose name contains the specified delimiter
+  (closes :issue:`365`):
+
+    >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
+    >>> combined
+    a_b\c_d  c0_d0  c0_d1  c1_d0  c1_d1
+      a0_b0      0      1      2      3
+      a0_b1      4      5      6      7
+      a1_b0      8      9     10     11
+      a1_b1     12     13     14     15
+    >>> combined.split_axes()
+     a   b  c\d  d0  d1
+    a0  b0   c0   0   1
+    a0  b0   c1   2   3
+    a0  b1   c0   4   5
+    a0  b1   c1   6   7
+    a1  b0   c0   8   9
+    a1  b0   c1  10  11
+    a1  b1   c0  12  13
+    a1  b1   c1  14  15
+
 * allowed to perform several axes combinations at once with the `combine_axes()` method (closes :issue:`382`):
 
     >>> arr = ndtest((2, 2, 2, 2))
diff --git a/larray/core/array.py b/larray/core/array.py
index b175536bd..3c70432b8 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6424,7 +6424,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
         return transposed.reshape(new_axes)
 
-    def split_axes(self, axes, sep='_', names=None, regex=None):
+    def split_axes(self, axes=None, sep='_', names=None, regex=None):
         """Split axes and returns a new array
 
         Parameters
@@ -6457,7 +6457,7 @@ def split_axes(self, axes, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0_b0  a0_b1  a0_b2  a1_b0  a1_b1  a1_b2
                  0      1      2      3      4      5
-        >>> combined.split_axes('a_b')
+        >>> combined.split_axes()
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 8bc8cd91f..4c31817fd 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2191,7 +2191,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
             new_axes.insert(combined_axis_pos, combined_axis)
         return new_axes
 
-    def split_axes(self, axes, sep='_', names=None, regex=None):
+    def split_axes(self, axes=None, sep='_', names=None, regex=None):
         """Split axes and returns a new collection
 
         Parameters
@@ -2225,7 +2225,7 @@ def split_axes(self, axes, sep='_', names=None, regex=None):
         AxisCollection([
             Axis(['a0_b0', 'a0_b1', 'a0_b2', 'a1_b0', 'a1_b1', 'a1_b2'], 'a_b')
         ])
-        >>> combined.split_axes('a_b')
+        >>> combined.split_axes()
         AxisCollection([
             Axis(['a0', 'a1'], 'a'),
             Axis(['b0', 'b1', 'b2'], 'b')
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 90652029f..e06b1ef54 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3416,7 +3416,7 @@ def test_split_axes(self):
         assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0_b1', 'c2', 'd3', 'e2_f1']
 
         # default to all axes with name containing the delimiter _
-        # assert_array_equal(arr.split_axes(), res)
+        assert_array_equal(arr.split_axes(), res)
 
         # using a dict (-> user defined axes names)
         res = arr.split_axes({'a_b': ('A', 'B'), 'e_f': ('E', 'F')})

From de96da6d3fcfa07ac645e2b2871bdce9afaf7663 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Fri, 22 Sep 2017 11:40:21 +0200
Subject: [PATCH 756/899] fix #439 : allowed to pass a Group to
 read_excel/read_hdf  (#442)

fix #439 : allowed to pass a Group to read_excel/read_hdf as sheetname/key argument
---
 doc/source/changes/version_0_26.rst.inc | 20 +++++++++++++++++++
 larray/io/array.py                      |  9 +++++++--
 larray/tests/test_array.py              | 26 ++++++++++++++++++++++++-
 3 files changed, 52 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index b1d026bdd..e647514d3 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -72,6 +72,26 @@ Miscellaneous improvements
     ['_name_with_special___char_']
     >>> # special characters \ or / in labels or groups are replaced by an _ when exporting to HDF file
 
+* allowed to pass a Group to `read_excel`/`read_hdf` as `sheetname`/`key` argument (closes :issue:`439`).
+
+    >>> a, b, c = arr.a, arr.b, arr.c
+
+    >>> # For Excel
+    >>> new_from_excel = zeros((a, b, c), dtype=int)
+    >>> for label in a:
+    ...     new_from_excel[label] = read_excel('my_file.xlsx', label)
+    >>> # But, to avoid loading the file in Excel repeatedly (which is very inefficient),
+    >>> # this particular example should rather be written like this:
+    >>> new_from_excel = zeros((a, b, c), dtype=int)
+    >>> with open_excel('my_file.xlsx') as wb:
+    ...     for label in a:
+    ...         new_from_excel[label] = wb[label].load()
+
+    >>> # For HDF
+    >>> new_from_hdf = zeros((a, b, c), dtype=int)
+    >>> for label in a:
+    ...     new_from_hdf[label] = read_hdf('my_file.h5', label)
+
 * allowed setting the name of a Group using another Group or Axis (closes :issue:`341`):
 
     >>> arr = ndrange('axis=a,a0..a3,b,b0..b3,c,c0..c3')
diff --git a/larray/io/array.py b/larray/io/array.py
index f7131905b..ee2dbf1ef 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -8,6 +8,7 @@
 
 from larray.core.axis import Axis
 from larray.core.array import LArray
+from larray.core.group import _translate_sheet_name, _translate_key_hdf
 from larray.util.misc import basestring, unique, decode, skip_comment_cells, strip_rows, csv_open, StringIO
 
 try:
@@ -275,7 +276,7 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
     ----------
     filepath_or_buffer : str or pandas.HDFStore
         Path and name where the HDF5 file is stored or a HDFStore object.
-    key : str
+    key : str or Group
         Name of the array.
     fill_value : scalar or LArray, optional
         Value used to fill cells corresponding to label combinations which are not present in the input.
@@ -294,6 +295,8 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
         fill_value = na
         warnings.warn("read_hdf `na` argument has been renamed to `fill_value`. Please use that instead.",
                       FutureWarning, stacklevel=2)
+
+    key = _translate_key_hdf(key)
     df = pd.read_hdf(filepath_or_buffer, key, **kwargs)
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, parse_header=False)
 
@@ -307,7 +310,7 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
     ----------
     filepath : str
         Path where the Excel file has to be read.
-    sheetname : str or int, optional
+    sheetname : str, Group or int, optional
         Name or index of the Excel sheet containing the array to be read.
         By default the array is read from the first sheet.
     nb_index : int, optional
@@ -332,6 +335,8 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
         warnings.warn("read_excel `na` argument has been renamed to `fill_value`. Please use that instead.",
                       FutureWarning, stacklevel=2)
 
+    sheetname = _translate_sheet_name(sheetname)
+
     if engine is None:
         engine = 'xlwings' if xw is not None else None
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index e06b1ef54..3e76424c3 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2405,7 +2405,7 @@ def test_hdf_roundtrip(self):
         self.assertEqual(axis.name, 'axis')
         assert_array_equal(axis.labels, ['10', '20'])
 
-        # passing group as sheet_name
+        # passing group as key to to_hdf
         a3 = ndtest((4, 3, 4))
         fpath = abspath('test.h5')
         os.remove(fpath)
@@ -2425,6 +2425,12 @@ def test_hdf_roundtrip(self):
         group = a3.c['c0,c2'] >> ':name?with*special/\[characters]'
         a3[group].to_hdf(fpath, group)
 
+        # passing group as key to read_hdf
+        for label in a3.a:
+            subset = read_hdf(fpath, label)
+            assert_array_equal(subset, a3[label])
+
+        # load Session
         from  larray.core.session import Session
         s = Session(fpath)
         assert s.names == sorted(['a0', 'a1', 'a2', 'a3', 'c0,c2', 'c0::2', 'even', ':name?with*special__[characters]'])
@@ -2504,6 +2510,15 @@ def test_read_excel_xlwings(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        # passing a Group as sheetname arg
+        axis = Axis('dim=1d,2d,3d,5d')
+
+        la = read_excel(abspath('test.xlsx'), axis['1d'])
+        self.assertEqual(la.ndim, 1)
+        self.assertEqual(la.shape, (3,))
+        self.assertEqual(la.axes.names, ['time'])
+        assert_array_equal(la, [3722, 3395, 3347])
+
         # fill_value argument
         la = read_excel(abspath('test.xlsx'), 'missing_values', fill_value=42)
         assert la.ndim == 3
@@ -2562,6 +2577,15 @@ def test_read_excel_pandas(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        # passing a Group as sheetname arg
+        axis = Axis('dim=1d,2d,3d,5d')
+
+        la = read_excel(abspath('test.xlsx'), axis['1d'], engine='xlrd')
+        self.assertEqual(la.ndim, 1)
+        self.assertEqual(la.shape, (3,))
+        self.assertEqual(la.axes.names, ['time'])
+        assert_array_equal(la, [3722, 3395, 3347])
+
     def test_from_lists(self):
         # sort_rows
         arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],

From e1ea14a7d257716ddd7735f4202883649ff79dbf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 21 Sep 2017 16:09:51 +0200
Subject: [PATCH 757/899] fixed LArray.extend docstring

---
 larray/core/array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 3c70432b8..5282ea3ad 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5415,7 +5415,7 @@ def prepend(self, axis, value, label=None):
         return value.extend(axis, self)
 
     def extend(self, axis, other):
-        """Adds an to self along an axis.
+        """Adds an array to self along an axis.
 
         The two arrays must have compatible axes.
 

From 9d3dcbbdda437fa3a5bf1cd3fbb5f57ec39319b9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 21 Sep 2017 16:13:55 +0200
Subject: [PATCH 758/899] added misc comments/TODO/XXX/FIXME

---
 larray/core/axis.py  | 3 ++-
 larray/core/group.py | 7 ++++++-
 2 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index 4c31817fd..b27160da9 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -569,6 +569,7 @@ def _ipython_key_completions_(self):
         return list(self.labels)
 
     def __contains__(self, key):
+        # TODO: ideally, _to_tick shouldn't be necessary, the __hash__ and __eq__ of Group should include this
         return _to_tick(key) in self._mapping
 
     def __hash__(self):
@@ -2478,4 +2479,4 @@ def __getitem__(self, key):
         return AxisReference(key)
 
 
-x = DeprecatedAxisReferenceFactory()
\ No newline at end of file
+x = DeprecatedAxisReferenceFactory()
diff --git a/larray/core/group.py b/larray/core/group.py
index d13106d2c..86e6b76fd 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -968,6 +968,7 @@ def __getitem__(self, key):
             elif isinstance(key, (tuple, list)):
                 return PGroup([orig_start_pos + k * orig_step for k in key], None, self.axis)
         elif isinstance(orig_key, ABCLArray):
+            # XXX: why .i ?
             return cls(orig_key.i[key], None, self.axis)
         elif isinstance(orig_key, int):
             # give the opportunity to subset the label/key itself (for example for string keys)
@@ -983,16 +984,20 @@ def _ipython_key_completions_(self):
     def _binop(opname):
         op_fullname = '__%s__' % opname
 
-        # TODO: implement this in a delayed fashion for reference axes
+        # TODO: implement this in a delayed fashion for axes references
         if PY2:
             # workaround the fact slice objects do not have any __binop__ methods defined on Python2 (even though
             # the actual operations work on them).
             def opmethod(self, other):
                 self_value = self.eval()
                 other_value = other.eval() if isinstance(other, Group) else other
+                # this can only happen when self.axis is not an Axis instance
                 if isinstance(self_value, slice):
                     if not isinstance(other_value, slice):
+                        # FIXME: we should raise a TypeError instead for all ops except == and !=
+                        # FIXME: we should return True for !=
                         return False
+                    # FIXME: we should raise a TypeError instead of doing this for all ops except comparison ops
                     self_value = (self_value.start, self_value.stop, self_value.step)
                     other_value = (other_value.start, other_value.stop, other_value.step)
                 return getattr(self_value, op_fullname)(other_value)

From ee4786458deb79b70f0b2e7505ce012ab4d577c9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 15 Sep 2017 18:15:55 +0200
Subject: [PATCH 759/899] implemented Axis.containing (closes #402) implemented
 Group.containing, startingwith, endingwith, matching (closes #108) renamed
 Axis.startswith,.endswith,.matches to startingwith,.endingwith,.matching
 (closes #432) also moved all syntax changes to the top of the changelog and
 explained the reasoning behind them

---
 doc/source/api.rst                      |  15 ++-
 doc/source/changes/version_0_26.rst.inc |  37 +++++--
 larray/core/axis.py                     |  50 ++++++++--
 larray/core/group.py                    | 125 +++++++++++++++++++++++-
 larray/core/session.py                  |  15 +--
 larray/tests/test_axis.py               |   8 +-
 larray/tests/test_group.py              |   6 +-
 7 files changed, 223 insertions(+), 33 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 984b77df2..e4e918083 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -43,9 +43,10 @@ Searching
    :toctree: _generated/
 
    Axis.translate
-   Axis.matches
-   Axis.startswith
-   Axis.endswith
+   Axis.containing
+   Axis.startingwith
+   Axis.endingwith
+   Axis.matching
 
 Modifying/Selecting/Searching
 -----------------------------
@@ -97,6 +98,10 @@ PGroup
    PGroup.union
    PGroup.intersection
    PGroup.difference
+   PGroup.containing
+   PGroup.startingwith
+   PGroup.endingwith
+   PGroup.matching
 
 LGroup
 ------
@@ -116,6 +121,10 @@ LGroup
    LGroup.union
    LGroup.intersection
    LGroup.difference
+   LGroup.containing
+   LGroup.startingwith
+   LGroup.endingwith
+   LGroup.matching
 
 .. _api-set:
 
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index e647514d3..bc7bd5ec4 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -1,4 +1,17 @@
-New features
+Syntax changes
+--------------
+
+* renamed special variable `x` to `X` to let users define an `x` variable in their code without breaking all
+  subsequent code using that special variable (closes :issue:`167`).
+
+* renamed Axis.startswith, endswith and matches to startingwith, endingwith and matching to avoid a possible confusion
+  with str.startswith and endswith which return booleans (closes :issue:`432`).
+
+* renamed `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions to `fill_value` to avoid
+  confusion as to what the argument does and to be consistent with `reindex` and `align` (closes :issue:`394`).
+
+
+New features
 ------------
 
 * added global_arrays() function which returns a Session containing all arrays defined in global variables. This
@@ -6,14 +19,28 @@
   results, but inside a function local_arrays will return only arrays local to the function, while global_arrays will
   return only arrays defined globally.
 
+* implemented Axis.containing to create a Group with all labels of an axis containing some substring (closes
+  :issue:`402`).
+
+    >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Arthur Dent'], 'people')
+    >>> people.containing('Will')
+    people['Bruce Willis']
+
+* implemented Group.containing, startingwith, endingwith and matching to create a group with all labels of a group
+  matching some criterion (closes :issue:`108`).
+
+    >>> group = people.startingwith('Bru')
+    >>> group
+    people['Bruce Wayne', 'Bruce Willis']
+    >>> group.containing('Will')
+    people['Bruce Willis']
+
 
 Miscellaneous improvements
 --------------------------
 
 * view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
-* renamed special variable `x` as `X` (closes :issue:`167`).
-
 * allowed to pass an array of labels as `new_axis` argument to `reindex` method (closes :issue:`384`):
 
     >>> arr = ndrange('a=v0..v1;b=v0..v2')
@@ -40,9 +67,6 @@ Miscellaneous improvements
      v1    3    4    5
      v2  nan  nan  nan
 
-* replaced `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions by `fill_value`
-  (closes :issue:`394`).
-
 * arguments `fill_value`, `sort_rows` and `sort_columns` of `read_excel` function are also supported by the default
   `xlwings` engine (closes :issue:`393`).
 
@@ -224,6 +248,7 @@ Miscellaneous improvements
 
 * allowed passing an axis to `set_labels` as 'labels' argument (closes :issue:`408`).
 
+
 Fixes
 -----
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index b27160da9..4eb706d60 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -441,6 +441,10 @@ def equals(self, other):
                (len(self) == len(other) if self.iswildcard else np.array_equal(self.labels, other.labels))
 
     def matches(self, pattern):
+        warnings.warn("Axis.matches was renamed to Axis.matching, please use that instead", FutureWarning, stacklevel=2)
+        return self.matching(pattern)
+
+    def matching(self, pattern):
         """
         Returns a group with all the labels matching the specified pattern (regular expression).
 
@@ -465,12 +469,12 @@ def matches(self, pattern):
 
         All labels starting with "W" and ending with "o" are given by
 
-        >>> people.matches('W.*o')
+        >>> people.matching('W.*o')
         people['Waldo']
 
         All labels not containing character "a"
 
-        >>> people.matches('[^a]*$')
+        >>> people.matching('[^a]*$')
         people['Bruce Willis', 'Arthur Dent']
         """
         if isinstance(pattern, Group):
@@ -479,6 +483,11 @@ def matches(self, pattern):
         return LGroup([v for v in self.labels if rx.match(v)], axis=self)
 
     def startswith(self, prefix):
+        warnings.warn("Axis.startswith was renamed to Axis.startingwith, please use that instead", FutureWarning,
+                      stacklevel=2)
+        return self.startingwith(prefix)
+
+    def startingwith(self, prefix):
         """
         Returns a group with the labels starting with the specified string.
 
@@ -495,7 +504,7 @@ def startswith(self, prefix):
         Examples
         --------
         >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.startswith('Bru')
+        >>> people.startingwith('Bru')
         people['Bruce Wayne', 'Bruce Willis']
         """
         if isinstance(prefix, Group):
@@ -503,8 +512,13 @@ def startswith(self, prefix):
         return LGroup([v for v in self.labels if v.startswith(prefix)], axis=self)
 
     def endswith(self, suffix):
+        warnings.warn("Axis.endswith was renamed to Axis.endingwith, please use that instead", FutureWarning,
+                      stacklevel=2)
+        return self.endingwith(suffix)
+
+    def endingwith(self, suffix):
         """
-        Returns a LGroup with the labels ending with the specified string
+        Returns a group with the labels ending with the specified string.
 
         Parameters
         ----------
@@ -519,13 +533,37 @@ def endswith(self, suffix):
         Examples
         --------
         >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.endswith('Dent')
+        >>> people.endingwith('Dent')
         people['Arthur Dent', 'Harvey Dent']
         """
         if isinstance(suffix, Group):
             suffix = suffix.eval()
         return LGroup([v for v in self.labels if v.endswith(suffix)], axis=self)
 
+    def containing(self, substring):
+        """
+        Returns a group with all the labels containing the specified substring.
+
+        Parameters
+        ----------
+        substring : str or Group
+            The substring to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels containing the substring.
+
+        Examples
+        --------
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Arthur Dent'], 'people')
+        >>> people.containing('Will')
+        people['Bruce Willis']
+        """
+        if isinstance(substring, Group):
+            substring = substring.eval()
+        return LGroup([v for v in self.labels if substring in v], axis=self)
+
     def __len__(self):
         return self._length
 
@@ -611,7 +649,7 @@ def translate(self, key, bool_passthrough=True):
         >>> people = Axis(['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
         >>> people.translate('Waldo')
         3
-        >>> people.translate(people.matches('Bruce'))
+        >>> people.translate(people.matching('Bruce'))
         array([1, 2])
         """
         mapping = self._mapping
diff --git a/larray/core/group.py b/larray/core/group.py
index 86e6b76fd..05d51b82e 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -12,7 +12,7 @@
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary
 
-__all__ = ['LGroup', 'LSet', 'PGroup', 'union']
+__all__ = ['Group', 'LGroup', 'LSet', 'PGroup', 'union']
 
 
 def _slice_to_str(key, repr_func=str):
@@ -1139,6 +1139,129 @@ def __contains__(self, item):
             item = item.eval()
         return item in self.eval()
 
+    def startingwith(self, prefix):
+        """
+        Returns a group with the labels starting with the specified string.
+
+        Parameters
+        ----------
+        prefix : str or Group
+            The prefix to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels starting with the given string.
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> people = Axis(['Bruce Wayne', 'Arthur Dent', 'Harvey Dent'], 'people')
+        >>> group = people.endingwith('Dent')
+        >>> group
+        people['Arthur Dent', 'Harvey Dent']
+        >>> group.startingwith('Art')
+        people['Arthur Dent']
+        """
+        if isinstance(prefix, Group):
+            prefix = prefix.eval()
+        return LGroup([v for v in self.eval() if v.startswith(prefix)], axis=self.axis)
+
+    def endingwith(self, suffix):
+        """
+        Returns a group with the labels ending with the specified string.
+
+        Parameters
+        ----------
+        suffix : str or Group
+            The suffix to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels ending with the given string.
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Arthur Dent'], 'people')
+        >>> group = people.startingwith('Bru')
+        >>> group
+        people['Bruce Wayne', 'Bruce Willis']
+        >>> people.endingwith('yne')
+        people['Bruce Wayne']
+        """
+        if isinstance(suffix, Group):
+            suffix = suffix.eval()
+        return LGroup([v for v in self.eval() if v.endswith(suffix)], axis=self.axis)
+
+    def matching(self, pattern):
+        """
+        Returns a group with all the labels matching the specified pattern (regular expression).
+
+        Parameters
+        ----------
+        pattern : str or Group
+            Regular expression (regex).
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels matching the pattern.
+
+        Notes
+        -----
+        See `Regular Expression <https://docs.python.org/3/library/re.html>`_
+        for more details about how to build a pattern.
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Arthur Dent'], 'people')
+
+        All labels containing "B" and "e" with exactly 3 characters in between are given by
+
+        >>> group = people.matching('B...e')
+        >>> group
+        people['Bruce Wayne', 'Bruce Willis']
+
+        Within that group, all labels containing any characters then W then any characters then s are given by
+        >>> group.matching('.*W.*s')
+        people['Bruce Willis']
+        """
+        if isinstance(pattern, Group):
+            pattern = pattern.eval()
+        rx = re.compile(pattern)
+        return LGroup([v for v in self.eval() if rx.match(v)], axis=self.axis)
+
+    def containing(self, substring):
+        """
+        Returns a group with all the labels containing the specified substring.
+
+        Parameters
+        ----------
+        substring : str or Group
+            The substring to search for.
+
+        Returns
+        -------
+        LGroup
+            Group containing all the labels containing the substring.
+
+        Examples
+        --------
+        >>> from larray import Axis
+        >>> people = Axis(['Bruce Wayne', 'Bruce Willis', 'Arthur Dent'], 'people')
+        >>> group = people.startingwith('Bru')
+        >>> group
+        people['Bruce Wayne', 'Bruce Willis']
+        >>> group.containing('Will')
+        people['Bruce Willis']
+        """
+        if isinstance(substring, Group):
+            substring = substring.eval()
+        return LGroup([v for v in self.eval() if substring in v], axis=self.axis)
+
     # this makes range(LGroup(int)) possible
     def __index__(self):
         return self.eval().__index__()
diff --git a/larray/core/session.py b/larray/core/session.py
index 8f30cb5c1..e8f9cb4c4 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -369,8 +369,7 @@ def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
         fname : str
             Path for the dump.
         names : list of str or None, optional
-            List of names of objects to dump. Defaults to all objects
-            present in the Session.
+            List of names of objects to dump. Defaults to all objects present in the Session.
         overwrite: bool, optional
             Whether or not to overwrite an existing file, if any.
             If False, file is updated. Defaults to True.
@@ -405,8 +404,7 @@ def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
         fname : str
             Path for the dump.
         names : list of str or None, optional
-            List of names of objects to dump. Defaults to all objects
-            present in the Session.
+            List of names of objects to dump. Defaults to all objects present in the Session.
         overwrite: bool, optional
             Whether or not to overwrite an existing file, if any.
             If False, file is updated. Defaults to True.
@@ -441,11 +439,9 @@ def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
         fname : str
             Path for the dump.
         names : list of str or None, optional
-            List of names of objects to dump. Defaults to all objects
-            present in the Session.
+            List of names of objects to dump. Defaults to all objects present in the Session.
         overwrite: bool, optional
-            Whether or not to overwrite an existing file, if any.
-            If False, file is updated. Defaults to True.
+            Whether or not to overwrite an existing file, if any. If False, file is updated. Defaults to True.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
 
@@ -477,8 +473,7 @@ def to_csv(self, fname, names=None, display=False, **kwargs):
         fname : str
             Path for the directory that will contain CSV files.
         names : list of str or None, optional
-            List of names of objects to dump. Defaults to all objects
-            present in the Session.
+            List of names of objects to dump. Defaults to all objects present in the Session.
         display : bool, optional
             Whether or not to display which file is being worked on. Defaults to False.
 
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 8fa9c05d3..776d18a12 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -400,11 +400,11 @@ def test_init_from_group(self):
         subset_axis = Axis(code_group, 'code_subset')
         assert_array_equal(subset_axis.labels, ['C01', 'C02'])
 
-    def test_match(self):
+    def test_matching(self):
         sutcode = Axis(['A23', 'A2301', 'A25', 'A2501'], 'sutcode')
-        self.assertEqual(sutcode.matches('^...$'), LGroup(['A23', 'A25']))
-        self.assertEqual(sutcode.startswith('A23'), LGroup(['A23', 'A2301']))
-        self.assertEqual(sutcode.endswith('01'), LGroup(['A2301', 'A2501']))
+        self.assertEqual(sutcode.matching('^...$'), LGroup(['A23', 'A25']))
+        self.assertEqual(sutcode.startingwith('A23'), LGroup(['A23', 'A2301']))
+        self.assertEqual(sutcode.endingwith('01'), LGroup(['A2301', 'A2501']))
 
     def test_iter(self):
         sex = Axis('sex=M,F')
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index 7afb60d12..fd81bb13d 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -66,9 +66,9 @@ def test_init(self):
         assert group.name == group2.name
         # additional test
         axis = Axis('axis=a,a0..a3,b,b0..b3,c,c0..c3')
-        for code in axis.matches('^.$'):
-            group = axis.startswith(code) >> code
-            assert group == axis.startswith(code) >> str(code)
+        for code in axis.matching('^.$'):
+            group = axis.startingwith(code) >> code
+            assert group == axis.startingwith(code) >> str(code)
 
     def test_eq(self):
         # with axis vs no axis do not compare equal

From 554d8a2e7e6e4fdfed00d12ba82989ad837ae68e Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 28 Sep 2017 11:31:58 +0200
Subject: [PATCH 760/899] fix #441 : file deletion if crash occurs during file
 overwriting (#449)

fix #441 : temporary file is created and used when working on a file to be overwritten. Temporary file is deleted only after calling close()
---
 doc/source/changes/version_0_26.rst.inc |  3 +++
 larray/core/session.py                  |  4 +---
 larray/io/excel.py                      | 14 ++++++++++--
 larray/io/session.py                    | 30 ++++++++++++++++++++-----
 larray/tests/test_array.py              | 25 ++++++++++++++++++++-
 5 files changed, 65 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index bc7bd5ec4..719508e9c 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -253,3 +253,6 @@ Fixes
 -----
 
 * fixed array creation with axis(es) given as string containing only one label (axis name and label were inversed).
+
+* fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
+  (closes :issue:`441`)
\ No newline at end of file
diff --git a/larray/core/session.py b/larray/core/session.py
index e8f9cb4c4..ff6f23480 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -282,10 +282,8 @@ def save(self, fname, names=None, engine='auto', overwrite=True, display=False,
             _, ext = os.path.splitext(fname)
             ext = ext.strip('.') if '.' in ext else 'csv'
             engine = ext_default_engine[ext]
-        if overwrite and engine != ext_default_engine['csv'] and os.path.isfile(fname):
-            os.remove(fname)
         handler_cls = handler_classes[engine]
-        handler = handler_cls(fname)
+        handler = handler_cls(fname, overwrite)
         items = self.filter(kind=LArray).items()
         if names is not None:
             names_set = set(names)
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 244a42d29..9d3dd14c0 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -64,6 +64,7 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
 
             xw_wkb = None
             self.delayed_filepath = None
+            self.filepath = None
             self.new_workbook = False
 
             if filepath is None:
@@ -80,7 +81,10 @@ def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=Non
                         raise ValueError("File {} does not exist. Please give the path to an existing file or set "
                                          "overwrite_file argument to True".format(filepath))
                     if os.path.isfile(filepath) and overwrite_file:
-                        os.remove(filepath)
+                        self.filepath = filepath
+                        # we create a temporary file to work on. In case of crash, the original is not destroyed.
+                        # the temporary file is renamed as the original file at close.
+                        filepath = basename + '~' + ext
                     if not os.path.isfile(filepath):
                         self.new_workbook = True
                 else:
@@ -226,7 +230,13 @@ def close(self):
             Close the workbook in Excel. This will not quit the Excel instance, even if this was the last workbook of
             that Excel instance.
             """
-            self.xw_wkb.close()
+            if self.filepath is not None and os.path.isfile(self.xw_wkb.fullname):
+                tmp_file = self.xw_wkb.fullname
+                self.xw_wkb.close()
+                os.remove(self.filepath)
+                os.rename(tmp_file, self.filepath)
+            else:
+                self.xw_wkb.close()
 
         def __iter__(self):
             return iter([Sheet(None, None, xw_sheet)
diff --git a/larray/io/session.py b/larray/io/session.py
index 4c954923a..70ba62b6d 100644
--- a/larray/io/session.py
+++ b/larray/io/session.py
@@ -34,8 +34,10 @@ class FileHandler(object):
     fname : str
         Filename.
     """
-    def __init__(self, fname):
+    def __init__(self, fname, overwrite_file=False):
         self.fname = fname
+        self.original_file_name = None
+        self.overwrite_file = overwrite_file
 
     def _open_for_read(self):
         raise NotImplementedError()
@@ -67,6 +69,16 @@ def close(self):
         """
         raise NotImplementedError()
 
+    def _get_original_file_name(self):
+        if self.overwrite_file and os.path.isfile(self.fname):
+            self.original_file_name = self.fname
+            self.fname = '{}~{}'.format(*os.path.splitext(self.fname))
+
+    def _update_original_file(self):
+        if self.original_file_name is not None and os.path.isfile(self.fname):
+            os.remove(self.original_file_name)
+            os.rename(self.fname, self.original_file_name)
+
     def read_arrays(self, keys, *args, **kwargs):
         """
         Reads file content (HDF, Excel, CSV, ...) and returns a dictionary containing loaded arrays.
@@ -121,6 +133,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
             * display: whether or not to display when the dump of each array is started/done.
         """
         display = kwargs.pop('display', False)
+        self._get_original_file_name()
         self._open_for_write()
         for key, value in key_values:
             if isinstance(value, ABCLArray) and value.ndim == 0:
@@ -134,6 +147,7 @@ def dump_arrays(self, key_values, *args, **kwargs):
                 print("done")
         self.save()
         self.close()
+        self._update_original_file()
 
 
 class PandasHDFHandler(FileHandler):
@@ -191,12 +205,15 @@ class XLWingsHandler(FileHandler):
     """
     Handler for Excel files using XLWings.
     """
+    def _get_original_file_name(self):
+        # for XLWingsHandler, no need to create a temporary file, the job is already done in the Workbook class
+        pass
+
     def _open_for_read(self):
         self.handle = open_excel(self.fname)
 
     def _open_for_write(self):
-        overwrite_file = not os.path.isfile(self.fname)
-        self.handle = open_excel(self.fname, overwrite_file=overwrite_file)
+        self.handle = open_excel(self.fname, overwrite_file=self.overwrite_file)
 
     def list(self):
         return self.handle.sheet_names()
@@ -215,8 +232,8 @@ def close(self):
 
 
 class PandasCSVHandler(FileHandler):
-    def __init__(self, fname):
-        super(PandasCSVHandler, self).__init__(fname)
+    def __init__(self, fname, overwrite_file=False):
+        super(PandasCSVHandler, self).__init__(fname, overwrite_file)
         if fname is None:
             self.pattern = None
             self.directory = None
@@ -229,6 +246,9 @@ def __init__(self, fname):
             self.pattern = os.path.join(fname, '*.csv')
             self.directory = fname
 
+    def _get_original_file_name(self):
+        pass
+
     def _open_for_read(self):
         if self.directory and not os.path.isdir(self.directory):
             raise ValueError("Directory '{}' does not exist".format(self.directory))
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 3e76424c3..727f56fca 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2879,9 +2879,10 @@ def test_to_excel_xlwings(self):
     def test_open_excel(self):
         # 1) Create new file
         # ==================
+        fpath = abspath('should_not_extist.xlsx')
         # overwrite_file must be set to True to create a new file
         with pytest.raises(ValueError):
-            open_excel(abspath('new_excel_file.xlsx'))
+            open_excel(fpath)
 
         # 2) with headers
         # ===============
@@ -3026,6 +3027,28 @@ def test_open_excel(self):
             res = wb['3D']['A20:D25'].load(header=False)
             assert_array_equal(res, a3.data.reshape((6, 4)))
 
+        # 4) crash test
+        # =============
+        arr = ndtest((2, 2))
+        fpath = abspath('temporary_test_file.xlsx')
+        # create and save a test file
+        with open_excel(fpath, overwrite_file=True) as wb:
+            wb['arr'] = arr.dump()
+            wb.save()
+        # raise exception when the file is open
+        try:
+            with open_excel(fpath, overwrite_file=True) as wb:
+                raise ValueError("")
+        except ValueError:
+            pass
+        # check if file is still available
+        with open_excel(fpath) as wb:
+            assert wb.sheet_names() == ['arr']
+            assert_array_equal(wb['arr'].load(), arr)
+        # remove file
+        if os.path.exists(fpath):
+            os.remove(fpath)
+
     def test_ufuncs(self):
         la = self.small
         raw = self.small_data

From e9b621394d4985e46cbd7b5ef997b3a60f8f4691 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 28 Sep 2017 15:49:00 +0200
Subject: [PATCH 761/899] fix #419 : dist packages include required files to
 run all the tests (#451)

---
 larray/tests/test1d_columns.csv |  5 -----
 setup.py                        | 10 +++++++++-
 2 files changed, 9 insertions(+), 6 deletions(-)
 delete mode 100644 larray/tests/test1d_columns.csv

diff --git a/larray/tests/test1d_columns.csv b/larray/tests/test1d_columns.csv
deleted file mode 100644
index 44a3415ad..000000000
--- a/larray/tests/test1d_columns.csv
+++ /dev/null
@@ -1,5 +0,0 @@
-age,value
-0,3722
-1,338
-2,2878
-3,1121
diff --git a/setup.py b/setup.py
index 154bd4135..4962fae37 100644
--- a/setup.py
+++ b/setup.py
@@ -20,7 +20,15 @@ def readlocal(fname):
 
 LICENSE = 'GPLv3'
 URL = 'https://github.com/liam2/larray'
-PACKAGE_DATA = {'larray': ['tests/data/*']}
+PACKAGE_DATA = {'larray': ['test/test.xlsx',
+                           'test/test1d.csv',
+                           'test/test1d_liam2.csv',
+                           'test/test2d.csv',
+                           'test/test3d.csv',
+                           'test/test5d.csv',
+                           'test/test5d_eurostat.csv',
+                           'test/test5d_liam2.csv',
+                           'test/data/*']}
 
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',

From 944d8f422d44c76221d227e14f4325d0bd3e4140 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 2 Oct 2017 13:10:45 +0200
Subject: [PATCH 762/899] fix #450 : implemented deprecated decorator (#453)

fix #450 : implemented renamed_to
---
 larray/core/array.py       | 15 ++++-----------
 larray/core/axis.py        | 19 ++++++-------------
 larray/core/session.py     | 18 +++++-------------
 larray/tests/test_array.py | 14 ++++++++++++++
 larray/util/misc.py        |  8 ++++++++
 5 files changed, 37 insertions(+), 37 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 5282ea3ad..adb19d6cd 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -103,7 +103,7 @@
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, _isnoneslice, light_product, unique_list)
+                              float_error_handler_factory, _isnoneslice, light_product, unique_list, renamed_to)
 
 nan = np.nan
 
@@ -885,9 +885,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         else:
             return LArray(self.data, new_axes, title=self.title)
 
-    def with_axes(self, axes):
-        warnings.warn("LArray.with_axes is deprecated, use LArray.set_axes instead", FutureWarning, stacklevel=2)
-        return self.set_axes(axes)
+    with_axes = renamed_to(set_axes, 'with_axes')
 
     def __getattr__(self, key):
         if key in self.axes:
@@ -6507,9 +6505,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         """
         return self.reshape(self.axes.split_axes(axes, sep, names, regex))
 
-    def split_axis(self, axis=None, sep='_', names=None, regex=None):
-        warnings.warn("split_axis() has been renamed to split_axes()", FutureWarning, stacklevel=2)
-        return self.split_axes(axis, sep, names, regex)
+    split_axis = renamed_to(split_axes, 'split_axis')
 
 
 def aslarray(a):
@@ -7075,10 +7071,7 @@ def array_or_full(a, axis, initial):
                 ((1 - cum_mult) / (1 - mult)) * inc + initial * cum_mult
     return res
 
-
-def create_sequential(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
-    warnings.warn("create_sequential() has been renamed to sequence()", FutureWarning, stacklevel=2)
-    return sequence(axis, initial=initial, inc=inc, mult=mult, func=func, axes=axes, title=title)
+create_sequential = renamed_to(sequence, 'create_sequential')
 
 
 @_check_axes_argument
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 4eb706d60..8fe499823 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -13,7 +13,8 @@
 from larray.core.group import (Group, LGroup, PGroup, PGroupMaker, _to_tick, _to_ticks, _to_key, _seq_summary,
                                _contain_group_ticks, _seq_group_to_name)
 from larray.util.oset import *
-from larray.util.misc import basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id
+from larray.util.misc import (basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id,
+                              renamed_to)
 
 __all__ = ['Axis', 'AxisCollection', 'X', 'x']
 
@@ -440,10 +441,6 @@ def equals(self, other):
         return isinstance(other, Axis) and self.name == other.name and self.iswildcard == other.iswildcard and \
                (len(self) == len(other) if self.iswildcard else np.array_equal(self.labels, other.labels))
 
-    def matches(self, pattern):
-        warnings.warn("Axis.matches was renamed to Axis.matching, please use that instead", FutureWarning, stacklevel=2)
-        return self.matching(pattern)
-
     def matching(self, pattern):
         """
         Returns a group with all the labels matching the specified pattern (regular expression).
@@ -482,10 +479,7 @@ def matching(self, pattern):
         rx = re.compile(pattern)
         return LGroup([v for v in self.labels if rx.match(v)], axis=self)
 
-    def startswith(self, prefix):
-        warnings.warn("Axis.startswith was renamed to Axis.startingwith, please use that instead", FutureWarning,
-                      stacklevel=2)
-        return self.startingwith(prefix)
+    matches = renamed_to(matching, 'matches')
 
     def startingwith(self, prefix):
         """
@@ -511,10 +505,7 @@ def startingwith(self, prefix):
             prefix = prefix.eval()
         return LGroup([v for v in self.labels if v.startswith(prefix)], axis=self)
 
-    def endswith(self, suffix):
-        warnings.warn("Axis.endswith was renamed to Axis.endingwith, please use that instead", FutureWarning,
-                      stacklevel=2)
-        return self.endingwith(suffix)
+    startswith = renamed_to(startingwith, 'startswith')
 
     def endingwith(self, suffix):
         """
@@ -540,6 +531,8 @@ def endingwith(self, suffix):
             suffix = suffix.eval()
         return LGroup([v for v in self.labels if v.endswith(suffix)], axis=self)
 
+    endswith = renamed_to(endingwith, 'endswith')
+
     def containing(self, substring):
         """
         Returns a group with all the labels containing the specified substring.
diff --git a/larray/core/session.py b/larray/core/session.py
index ff6f23480..960edfb4f 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -10,7 +10,7 @@
 
 from larray.core.axis import Axis
 from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, sequence
-from larray.util.misc import float_error_handler_factory, is_interactive_interpreter
+from larray.util.misc import float_error_handler_factory, is_interactive_interpreter, renamed_to
 from larray.io.session import check_pattern, handler_classes, ext_default_engine
 
 
@@ -389,9 +389,7 @@ def to_pickle(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         self.save(fname, names, ext_default_engine['pkl'], overwrite, display, **kwargs)
 
-    def dump(self, fname, names=None, engine='auto', display=False, **kwargs):
-        warnings.warn("Method dump is deprecated. Use method save instead.", FutureWarning, stacklevel=2)
-        self.save(fname, names, engine, display, **kwargs)
+    dump = renamed_to(save, 'dump')
 
     def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
@@ -424,9 +422,7 @@ def to_hdf(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         self.save(fname, names, ext_default_engine['hdf'], overwrite, display, **kwargs)
 
-    def dump_hdf(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_hdf is deprecated. Use method to_hdf instead.", FutureWarning, stacklevel=2)
-        self.to_hdf(fname, names, *args, **kwargs)
+    dump_hdf = renamed_to(to_hdf, 'dump_hdf')
 
     def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
@@ -458,9 +454,7 @@ def to_excel(self, fname, names=None, overwrite=True, display=False, **kwargs):
         """
         self.save(fname, names, ext_default_engine['xlsx'], overwrite, display, **kwargs)
 
-    def dump_excel(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_excel is deprecated. Use method to_excel instead.", FutureWarning, stacklevel=2)
-        self.to_excel(fname, names, *args, **kwargs)
+    dump_excel = renamed_to(to_excel, 'dump_excel')
 
     def to_csv(self, fname, names=None, display=False, **kwargs):
         """
@@ -490,9 +484,7 @@ def to_csv(self, fname, names=None, display=False, **kwargs):
         """
         self.save(fname, names, ext_default_engine['csv'], display=display, **kwargs)
 
-    def dump_csv(self, fname, names=None, *args, **kwargs):
-        warnings.warn("Method dump_csv is deprecated. Use method to_csv instead.", FutureWarning, stacklevel=2)
-        self.to_csv(fname, names, *args, **kwargs)
+    dump_csv = renamed_to(to_csv, 'dump_csv')
 
     def filter(self, pattern=None, kind=None):
         """
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 727f56fca..9a1fb215b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3534,6 +3534,20 @@ def test_0darray_convert(self):
         expected_np12 = "only integer scalar arrays can be converted to a scalar index"
         assert msg in {expected_np11, expected_np12}
 
+    def test_deprecated_methods(self):
+        with pytest.warns(FutureWarning) as caught_warnings:
+            ndtest((2, 2)).with_axes('a', 'd=d0,d1')
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "with_axes() is deprecated. Use set_axes() instead."
+        assert caught_warnings[0].filename == __file__
+
+        with pytest.warns(FutureWarning) as caught_warnings:
+            ndtest((2, 2)).combine_axes().split_axis()
+        assert len(caught_warnings) == 1
+        assert caught_warnings[0].message.args[0] == "split_axis() is deprecated. Use split_axes() instead."
+        assert caught_warnings[0].filename == __file__
+
+
 if __name__ == "__main__":
     # import doctest
     # import unittest
diff --git a/larray/util/misc.py b/larray/util/misc.py
index 4c8972751..a1993dcf7 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -592,3 +592,11 @@ def index_by_id(seq, value):
         if item is value:
             return i
     raise ValueError("%s is not in list" % value)
+
+
+def renamed_to(newfunc, old_name, stacklevel=2):
+    def wrapper(*args, **kwargs):
+        msg = "{}() is deprecated. Use {}() instead.".format(old_name, newfunc.__name__)
+        warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
+        return newfunc(*args, **kwargs)
+    return wrapper

From b38a04b677e233e3e60ddfdd110594b76da9a58b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 2 Oct 2017 16:25:45 +0200
Subject: [PATCH 763/899] * implemented nan_equal * moved local_arrays and
 load_example_data to the section about sessions * added missing
 larray_nan_equal and global_arrays to api.rst

---
 doc/source/api.rst                      |  7 +++-
 doc/source/changes/version_0_26.rst.inc | 18 +++++++-
 larray/core/array.py                    | 55 +++++++++++++++++++++----
 3 files changed, 70 insertions(+), 10 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index e4e918083..5005a4f48 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -502,14 +502,14 @@ Miscellaneous
    aslarray
    labels_array
    larray_equal
+   larray_nan_equal
+   nan_equal
    union
    stack
    identity
    diag
    eye
    ipfp
-   load_example_data
-   local_arrays
 
 .. _api-session:
 
@@ -520,6 +520,9 @@ Session
    :toctree: _generated/
 
    Session
+   local_arrays
+   global_arrays
+   load_example_data
 
 Exploring
 ---------
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 719508e9c..e5cb36704 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -35,6 +35,22 @@ New features
     >>> group.containing('Will')
     people['Bruce Willis']
 
+* implemented nan_equal() function to create an array of booleans telling whether each cell of the first array is
+  equal to the corresponding cell in the other array, even in the presence of NaN.
+
+    >>> arr1 = ndtest(3, dtype=float)
+    >>> arr1['a1'] = nan
+    >>> arr1
+    a   a0   a1   a2
+       0.0  nan  2.0
+    >>> arr2 = arr1.copy()
+    >>> arr1 == arr2
+    a    a0     a1    a2
+       True  False  True
+    >>> nan_equal(arr1, arr2)
+    a    a0    a1    a2
+       True  True  True
+
 
 Miscellaneous improvements
 --------------------------
@@ -255,4 +271,4 @@ Fixes
 * fixed array creation with axis(es) given as string containing only one label (axis name and label were inversed).
 
 * fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
-  (closes :issue:`441`)
\ No newline at end of file
+  (closes :issue:`441`)
diff --git a/larray/core/array.py b/larray/core/array.py
index adb19d6cd..e92791c95 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5,7 +5,7 @@
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like', 'full', 'full_like', 'sequence',
     'create_sequential', 'ndrange', 'labels_array', 'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal',
     'larray_nan_equal', 'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean', 'ptp', 'var', 'std',
-    'median', 'percentile', 'stack', 'nan'
+    'median', 'percentile', 'stack', 'nan', 'nan_equal'
 ]
 
 """
@@ -629,6 +629,52 @@ def larray_equal(a1, a2):
             np.array_equal(np.asarray(a1), np.asarray(a2)))
 
 
+obj_isnan = np.vectorize(lambda x: x != x, otypes=[bool])
+
+def nan_equal(a1, a2):
+    """
+    Compares two arrays element-wise and returns array of booleans. True for each cell where corresponding elements are
+    equal or are both NaN, False otherwise.
+
+    Parameters
+    ----------
+    a1, a2 : LArray-like
+        Input arrays. aslarray() is used on non-LArray inputs.
+
+    Returns
+    -------
+    LArray
+        Returns True if the arrays are equal (even in the presence of NaN).
+
+    Examples
+    --------
+    >>> arr1 = ndtest(3, dtype=float)
+    >>> arr1['a1'] = nan
+    >>> arr1
+    a   a0   a1   a2
+       0.0  nan  2.0
+    >>> arr2 = arr1.copy()
+    >>> arr1 == arr2
+    a    a0     a1    a2
+       True  False  True
+    >>> nan_equal(arr1, arr2)
+    a    a0    a1    a2
+       True  True  True
+    """
+    from larray.core.ufuncs import isnan
+
+    def general_isnan(a):
+        if np.issubclass_(a.dtype.type, np.inexact):
+            return isnan(a)
+        elif a.dtype.type is np.object_:
+            return obj_isnan(a)
+        else:
+            return False
+
+    a1, a2 = aslarray(a1), aslarray(a2)
+    return (a1 == a2) | (general_isnan(a1) & general_isnan(a2))
+
+
 def larray_nan_equal(a1, a2):
     """
     Compares two arrays and returns True if they have the same axes and elements, False otherwise.
@@ -669,16 +715,11 @@ def larray_nan_equal(a1, a2):
     >>> larray_nan_equal([0], [0])
     True
     """
-    def isnan(a):
-        assert isinstance(a, np.ndarray)
-        return np.isnan(a) if np.issubclass_(a.dtype.type, np.inexact) else False
-
     try:
         a1, a2 = aslarray(a1), aslarray(a2)
     except Exception:
         return False
-    npa1, npa2 = np.asarray(a1), np.asarray(a2)
-    return a1.axes == a2.axes and np.all((npa1 == npa2) | (isnan(npa1) & isnan(npa2)))
+    return a1.axes == a2.axes and all(nan_equal(a1, a2))
 
 
 class LArray(ABCLArray):

From 39b9d414670a266056e2637dd18fed95c3850028 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 11:52:08 +0200
Subject: [PATCH 764/899] implemented arrays(). Closes #416.

---
 doc/source/api.rst                      |  1 +
 doc/source/changes/version_0_26.rst.inc | 11 +++++---
 larray/core/session.py                  | 37 +++++++++++++++++++++----
 3 files changed, 40 insertions(+), 9 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 5005a4f48..117380750 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -520,6 +520,7 @@ Session
    :toctree: _generated/
 
    Session
+   arrays
    local_arrays
    global_arrays
    load_example_data
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index e5cb36704..4cba8336c 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -14,10 +14,13 @@
 New features
 ------------
 
-* added global_arrays() function which returns a Session containing all arrays defined in global variables. This
-  complements the local_arrays() function. When used outside of a function, these two functions should have the same
-  results, but inside a function local_arrays will return only arrays local to the function, while global_arrays will
-  return only arrays defined globally.
+* added global_arrays() and arrays() functions to complement the local_arrays() function. They return a Session
+  containing respectively all arrays defined in global variables and all available arrays (whether they are defined in
+  local or global variables).
+
+  When used outside of a function, these three functions should have the same results, but inside a function
+  local_arrays() will return only arrays local to the function, global_arrays() will return only arrays defined
+  globally and arrays() will return arrays defined either locally or globally. Closes :issue:`416`.
 
 * implemented Axis.containing to create a Group with all labels of an axis containing some substring (closes
   :issue:`402`).
diff --git a/larray/core/session.py b/larray/core/session.py
index 960edfb4f..06c3e67bb 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -893,12 +893,12 @@ def summary(self, template=None):
 
 def local_arrays(depth=0):
     """
-    Returns a session containing all local arrays (sorted in alphabetical order).
+    Returns a session containing all local arrays sorted in alphabetical order.
 
     Parameters
     ----------
     depth: int
-        depth of call frame to inspect. 0 is where local_arrays was called, 1 the caller of local_arrays, etc.
+        depth of call frame to inspect. 0 is where `local_arrays` was called, 1 the caller of `local_arrays`, etc.
 
     Returns
     -------
@@ -911,13 +911,12 @@ def local_arrays(depth=0):
 
 def global_arrays(depth=0):
     """
-    Returns a session containing all global arrays (sorted in alphabetical order).
+    Returns a session containing all global arrays sorted in alphabetical order.
 
     Parameters
     ----------
     depth: int
-        depth of call frame to inspect. 0 is where global_arrays was called,
-        1 the caller of global_arrays, etc.
+        depth of call frame to inspect. 0 is where `global_arrays` was called, 1 the caller of `global_arrays`, etc.
 
     Returns
     -------
@@ -928,4 +927,32 @@ def global_arrays(depth=0):
     return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
 
 
+def arrays(depth=0):
+    """
+    Returns a session containing all available arrays (whether they are defined in local or global variables) sorted in
+    alphabetical order. Local arrays take precedence over global ones (if a name corresponds to both a local
+    and a global variable, the local array will be returned).
+
+    Parameters
+    ----------
+    depth: int
+        depth of call frame to inspect. 0 is where `arrays` was called, 1 the caller of `arrays`, etc.
+
+    Returns
+    -------
+    Session
+    """
+    # noinspection PyProtectedMember
+    caller_frame = sys._getframe(depth + 1)
+    global_vars = caller_frame.f_globals
+    local_vars = caller_frame.f_locals
+
+    # We must first get all variables *then* filter by type, otherwise we could return a global array which is not
+    # currently available because it is shadowed by a local non-array variable.
+    all_keys = sorted(set(global_vars.keys()) | set(local_vars.keys()))
+    combined_vars = [(k, local_vars[k] if k in local_vars else global_vars[k])
+                     for k in all_keys]
+    return Session((k, v) for k, v in combined_vars if isinstance(v, LArray))
+
+
 _session_float_error_handler = float_error_handler_factory(4)

From 351c4d4c53d9718eb83fac9f3656ce41150ec150 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 3 Oct 2017 15:02:49 +0200
Subject: [PATCH 765/899] fix #443 : drop bottom rows and right columns with
 only blank cells when reading an Excel sheet

---
 doc/source/changes/version_0_26.rst.inc |   3 ++
 larray/io/excel.py                      |  15 +++++++--
 larray/tests/test_array.py              |  39 +++++++++++++++++++++++-
 larray/tests/test_blank_cells.xlsx      | Bin 0 -> 11693 bytes
 setup.py                                |   1 +
 5 files changed, 54 insertions(+), 4 deletions(-)
 create mode 100644 larray/tests/test_blank_cells.xlsx

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 4cba8336c..df81e1e70 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -275,3 +275,6 @@ Fixes
 
 * fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
   (closes :issue:`441`)
+
+* fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
+  (closes :issue:`443`)
diff --git a/larray/io/excel.py b/larray/io/excel.py
index 9d3dd14c0..c99949531 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -321,10 +321,19 @@ def __setitem__(self, key, value):
         @property
         def shape(self):
             # include top-left empty rows/columns
-            # XXX: is there an exposed xlwings API for this? expand maybe?
+            from xlwings.constants import Direction as xldir
             used = self.xw_sheet.api.UsedRange
-            return (used.Row + used.Rows.Count - 1,
-                    used.Column + used.Columns.Count - 1)
+            last_row = used.Row + used.Rows.Count
+            last_col = used.Column + used.Columns.Count
+            for last_used_row in range(last_row, 0, -1):
+                left_cell = used.Cells(last_used_row, last_col + 1).End(xldir.xlToLeft)
+                if left_cell.Column > 1 or left_cell.Value is not None:
+                    break
+            for last_used_col in range(last_col, 0, -1):
+                up_cell = used.Cells(last_row + 1, last_used_col).End(xldir.xlUp)
+                if up_cell.Row > 1 or up_cell.Value is not None:
+                    break
+            return (last_used_row, last_used_col)
 
         @property
         def ndim(self):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 9a1fb215b..081eda304 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2532,6 +2532,18 @@ def test_read_excel_xlwings(self):
                                                 "the xlwings backend"):
             read_excel(abspath('test.xlsx'), engine='xlwings', dtype=float)
 
+        # Excel sheet with blank cells on right/bottom border of the array to read
+        fpath = abspath('test_blank_cells.xlsx')
+        good_la = read_excel(fpath, 'good')
+        bad_la = read_excel(fpath, 'bad')
+        assert_array_equal(good_la, bad_la)
+        # with additional empty column in the middle of the array to read
+        good_la2 = ndrange('a=a0,a1;b=2003..2006').astype(object)
+        good_la2[2005] = None
+        good_la2 = good_la2.set_axes('b', Axis([2003, 2004, None, 2006], 'b'))
+        bad_la2 = read_excel(fpath, 'bad2')
+        assert_array_equal(good_la2, bad_la2)
+
     def test_read_excel_pandas(self):
         la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
         self.assertEqual(la.ndim, 1)
@@ -2586,6 +2598,18 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
+        # Excel sheet with blank cells on right/bottom border of the array to read
+        fpath = abspath('test_blank_cells.xlsx')
+        good_la = read_excel(fpath, 'good', engine='xlrd')
+        bad_la = read_excel(fpath, 'bad', engine='xlrd')
+        assert_array_equal(good_la, bad_la)
+        # with additional empty column in the middle of the array to read
+        good_la2 = ndrange('a=a0,a1;b=2003..2006').astype(float)
+        good_la2[2005] = np.nan
+        good_la2 = good_la2.set_axes('b', Axis([2003, 2004, 'Unnamed: 3', 2006], 'b'))
+        bad_la2 = read_excel(fpath, 'bad2', engine='xlrd')
+        assert_array_nan_equal(good_la2, bad_la2)
+
     def test_from_lists(self):
         # sort_rows
         arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
@@ -3027,7 +3051,20 @@ def test_open_excel(self):
             res = wb['3D']['A20:D25'].load(header=False)
             assert_array_equal(res, a3.data.reshape((6, 4)))
 
-        # 4) crash test
+        # 4) Blank cells
+        # ========================
+        # Excel sheet with blank cells on right/bottom border of the array to read
+        fpath = abspath('test_blank_cells.xlsx')
+        with open_excel(fpath) as wb:
+            good_la = wb['good'].load()
+            bad_la = wb['bad'].load()
+            # with additional empty column in the middle of the array to read
+            good_la2 = wb['bad2']['A1:E3'].load()
+            bad_la2 = wb['bad2'].load()
+        assert_array_equal(good_la, bad_la)
+        assert_array_equal(good_la2, bad_la2)
+
+        # 5) crash test
         # =============
         arr = ndtest((2, 2))
         fpath = abspath('temporary_test_file.xlsx')
diff --git a/larray/tests/test_blank_cells.xlsx b/larray/tests/test_blank_cells.xlsx
new file mode 100644
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diff --git a/setup.py b/setup.py
index 4962fae37..ef4ead1ce 100644
--- a/setup.py
+++ b/setup.py
@@ -21,6 +21,7 @@ def readlocal(fname):
 LICENSE = 'GPLv3'
 URL = 'https://github.com/liam2/larray'
 PACKAGE_DATA = {'larray': ['test/test.xlsx',
+                           'test_blank_cells.xlsx',
                            'test/test1d.csv',
                            'test/test1d_liam2.csv',
                            'test/test2d.csv',

From aad087eacc0855320267ae74f0f66ac3bbe040c4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 29 Aug 2017 16:02:26 +0200
Subject: [PATCH 766/899] fix #372 : fixed reading an array from a CSV or Excel
 file when the columns axis is not explicitly named (via a backslash)

---
 doc/source/changes/version_0_26.rst.inc |  21 +-
 larray/io/array.py                      |  21 +-
 larray/tests/test.xlsx                  | Bin 13312 -> 14243 bytes
 larray/tests/test2d_classic.csv         |   6 +
 larray/tests/test_array.py              | 344 +++++++++++++++++++++++-
 5 files changed, 375 insertions(+), 17 deletions(-)
 create mode 100644 larray/tests/test2d_classic.csv

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index df81e1e70..3c8257890 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -273,8 +273,23 @@ Fixes
 
 * fixed array creation with axis(es) given as string containing only one label (axis name and label were inversed).
 
-* fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
-  (closes :issue:`441`)
+* fixed reading an array from a CSV or Excel file when the columns axis is not explicitly named (via `\`).
+  For example, let's say we want to read a CSV file 'pop.csv' with the following content (indented for clarity) ::
+
+  sex, 2015, 2016
+    F,   11,   13
+    M,   12,   10
+
+  The result of function `read_csv` is:
 
-* fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
+    >>> pop = read_csv('pop.csv')
+    >>> pop
+    sex\{1}  2015  2016
+          F    11    13
+          M    12    10
+
+  Closes :issue:`372`.
+
+* fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
+  (closes :issue:`441`)* fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
   (closes :issue:`443`)
diff --git a/larray/io/array.py b/larray/io/array.py
index ee2dbf1ef..07cfb77f1 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -78,22 +78,17 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
             # take the first column which contains '\'
             # pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
             pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
-            onedim = False
         except StopIteration:
             # we assume first column will not contain data
             pos_last = 0
-            onedim = True
 
         axes_names = columns[:pos_last + 1]
-        if onedim:
-            df = df.iloc[:, 1:]
-        else:
-            # This is required to handle int column names (otherwise we can simply use column positions in set_index).
-            # This is NOT the same as df.columns[list(range(...))] !
-            index_columns = [df.columns[i] for i in range(pos_last + 1)]
-            # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
-            # df.set_index(index_columns, inplace=True)
-            df = df.set_index(index_columns)
+        # This is required to handle int column names (otherwise we can simply use column positions in set_index).
+        # This is NOT the same as df.columns[list(range(...))] !
+        index_columns = [df.columns[i] for i in range(pos_last + 1)]
+        # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
+        # df.set_index(index_columns, inplace=True)
+        df = df.set_index(index_columns)
     else:
         axes_names = [decode(name, 'utf8') for name in df.index.names]
 
@@ -497,6 +492,10 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
     nat\sex  M  F
          BE  0  1
          FO  2  3
+    >>> from_string("period  a  b\\n2010  0  1\\n2011  2  3")
+    period\{1}  a  b
+          2010  0  1
+          2011  2  3
 
     Each label is stripped of leading and trailing whitespace, so this is valid too:
 
diff --git a/larray/tests/test.xlsx b/larray/tests/test.xlsx
index 4d9314fb1848bca9c1cd52eda255ac1e00d4753f..940c0700d2c54e8e54eae209f096fd24bb2d6b23 100644
GIT binary patch
delta 5639
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z*aCq6?>vDRy|0T^gP<2-V)}a`008K24gbFPw>=zjf=9>qUq65MW&nWfFaB0yMj%CG
zu=j{EI3b855eWT1`^xP&Fu(@@X#a(rL@<l0V&_r+L57G5Vzbiykx-%#`hQsEE!Oxp
zd%*v)F-M$;Dq?FfA|e<e2$&c-!(YbsU-uIn8Ju*8)LYDdC(>V!0z3#Tab|`;)vkW~
vm(y*W6o0k1(r;dbj5s^P|E2ORHzfZTAXESmB2Gt23LpjK-YWH=f3*Jt#=~0v

diff --git a/larray/tests/test2d_classic.csv b/larray/tests/test2d_classic.csv
new file mode 100644
index 000000000..a007c19a8
--- /dev/null
+++ b/larray/tests/test2d_classic.csv
@@ -0,0 +1,6 @@
+age,2007,2010,2013
+0,3722,3395,3347
+1,338,316,323
+2,2878,2791,2822
+3,1121,1037,976
+4,4073,4161,4429
\ No newline at end of file
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 081eda304..ccdc8edd2 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2461,6 +2461,12 @@ def test_read_csv(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_csv(abspath('test2d_classic.csv'))
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', None])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
         la = read_csv(abspath('test1d_liam2.csv'), dialect='liam2')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
@@ -2510,6 +2516,12 @@ def test_read_excel_xlwings(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '2d_classic')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', None])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
         # passing a Group as sheetname arg
         axis = Axis('dim=1d,2d,3d,5d')
 
@@ -2589,6 +2601,12 @@ def test_read_excel_pandas(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        la = read_excel(abspath('test.xlsx'), '2d_classic', engine='xlrd')
+        self.assertEqual(la.ndim, 2)
+        self.assertEqual(la.shape, (5, 3))
+        self.assertEqual(la.axes.names, ['age', None])
+        assert_array_equal(la[0, :], [3722, 3395, 3347])
+
         # passing a Group as sheetname arg
         axis = Axis('dim=1d,2d,3d,5d')
 
@@ -2638,6 +2656,295 @@ def test_from_lists(self):
         assert_array_equal(sorted_arr, arr)
 
     def test_df_aslarray(self):
+        # 1) data = scalar
+        # ================
+        # Dataframe becomes 1D LArray
+        data = [10]
+        index = ['i0']
+        columns = ['c0']
+        axis_index, axis_columns = Axis(index), Axis(columns)
+
+        df = pd.DataFrame(data, index=index, columns=columns)
+        assert df.index.name is None
+        assert df.columns.name is None
+        assert list(df.index.values) == index
+        assert list(df.columns.values) == columns
+
+        # anonymous indexes/columns
+        # input dataframe:
+        # ----------------
+        #     c0
+        # i0  10
+        # output LArray:
+        # --------------
+        # {0}  c0
+        #      10
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (1,)
+        assert la.axes.names == [None]
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns)
+        assert_array_equal(la, expected_la)
+
+        # anonymous columns
+        # input dataframe:
+        # ----------------
+        #        c0
+        # index
+        # i0     10
+        # output LArray:
+        # --------------
+        # index  c0
+        #        10
+        df.index.name, df.columns.name = 'index', None
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (1,)
+        assert la.axes.names == ['index']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('index'))
+        assert_array_equal(la, expected_la)
+
+        # anonymous index
+        # input dataframe:
+        # ----------------
+        # columns  c0
+        # i0       10
+        # output LArray:
+        # --------------
+        # columns  c0
+        #          10
+        df.index.name, df.columns.name = None, 'columns'
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (1,)
+        assert la.axes.names == ['columns']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('columns'))
+        assert_array_equal(la, expected_la)
+
+        # index and columns with name
+        # input dataframe:
+        # ----------------
+        # columns  c0
+        # index
+        # i0       10
+        # output LArray:
+        # --------------
+        # index  c0
+        #        10
+        df.index.name, df.columns.name = 'index', 'columns'
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (1,)
+        assert la.axes.names == ['index']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('index'))
+        assert_array_equal(la, expected_la)
+
+        # 2) data = vector
+        # ================
+        size = 3
+
+        # 2A) data = horizontal vector (1 x N)
+        # ====================================
+        # Dataframe becomes 1D LArray
+        data = np.arange(size)
+        indexes = ['i0']
+        columns = ['c{}'.format(i) for i in range(size)]
+        axis_index, axis_columns = Axis(indexes), Axis(columns)
+
+        df = pd.DataFrame(data.reshape(1, size), index=indexes, columns=columns)
+        assert df.index.name is None
+        assert df.columns.name is None
+        assert list(df.index.values) == indexes
+        assert list(df.columns.values) == columns
+
+        # anonymous indexes/columns
+        # input dataframe:
+        # ----------------
+        #     c0  c1  c2
+        # i0   0   1   2
+        # output LArray:
+        # --------------
+        # {0}  c0  c1  c2
+        #       0   1   2
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (size,)
+        assert la.axes.names == [None]
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns)
+        assert_array_equal(la, expected_la)
+
+        # anonymous columns
+        # input dataframe:
+        # ----------------
+        #        c0  c1  c2
+        # index
+        # i0      0   1   2
+        # output LArray:
+        # --------------
+        # index  c0  c1  c2
+        #         0   1   2
+        df.index.name, df.columns.name = 'index', None
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (size,)
+        assert la.axes.names == ['index']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('index'))
+        assert_array_equal(la, expected_la)
+
+        # anonymous index
+        # input dataframe:
+        # ----------------
+        # columns  c0  c1  c2
+        # i0        0   1   2
+        # output LArray:
+        # --------------
+        # columns  c0  c1  c2
+        #           0   1   2
+        df.index.name, df.columns.name = None, 'columns'
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (size,)
+        assert la.axes.names == ['columns']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('columns'))
+        assert_array_equal(la, expected_la)
+
+        # index and columns with name
+        # input dataframe:
+        # ----------------
+        # columns  c0  c1  c2
+        # index
+        # i0        0   1   2
+        # output LArray:
+        # --------------
+        # index  c0  c1  c2
+        #         0   1   2
+        df.index.name, df.columns.name = 'index', 'columns'
+        la = df_aslarray(df)
+        assert la.ndim == 1
+        assert la.shape == (size,)
+        assert la.axes.names == ['index']
+        assert list(la.axes.labels[0]) == columns
+        expected_la = LArray(data, axis_columns.rename('index'))
+        assert_array_equal(la, expected_la)
+
+        # 2B) data = vertical vector (N x 1)
+        # ==================================
+        # Dataframe becomes 2D LArray
+        data = data.reshape(size, 1)
+        indexes = ['i{}'.format(i) for i in range(size)]
+        columns = ['c0']
+        axis_index, axis_columns = Axis(indexes), Axis(columns)
+
+        df = pd.DataFrame(data, index=indexes, columns=columns)
+        assert df.index.name is None
+        assert df.columns.name is None
+        assert list(df.index.values) == indexes
+        assert list(df.columns.values) == columns
+
+        # anonymous indexes/columns
+        # input dataframe:
+        # ----------------
+        #     c0
+        # i0   0
+        # i1   1
+        # i2   2
+        # output LArray:
+        # --------------
+        # {0}\{1}  c0
+        #      i0   0
+        #      i1   1
+        #      i2   2
+        la = df_aslarray(df)
+        assert la.ndim == 2
+        assert la.shape == (size, 1)
+        assert la.axes.names == [None, None]
+        assert list(la.axes.labels[0]) == indexes
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data, [axis_index, axis_columns])
+        assert_array_equal(la, expected_la)
+
+        # anonymous columns
+        # input dataframe:
+        # ----------------
+        #        c0
+        # index
+        # i0      0
+        # i1      1
+        # i2      2
+        # output LArray:
+        # --------------
+        # index\{1}  c0
+        #        i0   0
+        #        i1   1
+        #        i2   2
+        df.index.name, df.columns.name = 'index', None
+        la = df_aslarray(df)
+        assert la.ndim == 2
+        assert la.shape == (size, 1)
+        assert la.axes.names == ['index', None]
+        assert list(la.axes.labels[0]) == indexes
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data, [axis_index.rename('index'), axis_columns])
+        assert_array_equal(la, expected_la)
+
+        # anonymous index
+        # input dataframe:
+        # ----------------
+        # columns  c0
+        # i0        0
+        # i1        1
+        # i2        2
+        # output LArray:
+        # --------------
+        # {0}\columns  c0
+        #          i0   0
+        #          i1   1
+        #          i2   2
+        df.index.name, df.columns.name = None, 'columns'
+        la = df_aslarray(df)
+        assert la.ndim == 2
+        assert la.shape == (size, 1)
+        assert la.axes.names == [None, 'columns']
+        assert list(la.axes.labels[0]) == indexes
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data, [axis_index, axis_columns.rename('columns')])
+        assert_array_equal(la, expected_la)
+
+        # index and columns with name
+        # input dataframe:
+        # ----------------
+        # columns  c0
+        # index
+        # i0        0
+        # i1        1
+        # i2        2
+        # output LArray:
+        # --------------
+        # {0}\columns  c0
+        #          i0   0
+        #          i1   1
+        #          i2   2
+        df.index.name, df.columns.name = 'index', 'columns'
+        assert la.ndim == 2
+        assert la.shape == (size, 1)
+        assert la.axes.names == [None, 'columns']
+        assert list(la.axes.labels[0]) == indexes
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data, [axis_index, axis_columns.rename('columns')])
+        assert_array_equal(la, expected_la)
+
+        # 3) 3D array
+        # ===========
+
+        # 3A) Dataframe with 2 index columns
+        # ==================================
         dt = [('age', int), ('sex', 'U1'),
               ('2007', int), ('2010', int), ('2013', int)]
         data = np.array([
@@ -2655,11 +2962,35 @@ def test_df_aslarray(self):
         df.columns.name = 'time'
 
         la = df_aslarray(df)
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (4, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
+        assert la.ndim == 3
+        assert la.shape == (4, 2, 3)
+        assert la.axes.names == ['age', 'sex', 'time']
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
+        # 3B) Dataframe with columns.name containing \\
+        # =============================================
+        dt = [('age', int), ('sex\\time', 'U1'),
+              ('2007', int), ('2010', int), ('2013', int)]
+        data = np.array([
+            (0, 'F', 3722, 3395, 3347),
+            (0, 'M', 338, 316, 323),
+            (1, 'F', 2878, 2791, 2822),
+            (1, 'M', 1121, 1037, 976),
+            (2, 'F', 4073, 4161, 4429),
+            (2, 'M', 1561, 1463, 1467),
+            (3, 'F', 3507, 3741, 3366),
+            (3, 'M', 2052, 2052, 2118),
+        ], dtype=dt)
+        df = pd.DataFrame(data)
+        df.set_index(['age', 'sex\\time'], inplace=True)
+
+        la = df_aslarray(df)
+        assert la.ndim == 3
+        assert la.shape == (4, 2, 3)
+        assert la.axes.names == ['age', 'sex', 'time']
+        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+
     def test_to_csv(self):
         la = read_csv(abspath('test5d.csv'))
         self.assertEqual(la.ndim, 5)
@@ -2988,6 +3319,13 @@ def test_open_excel(self):
             # the third axis should have the same labels (but not the same name obviously)
             assert_array_equal(res.axes[2].labels, a3.axes[2].labels)
 
+        with open_excel(abspath('test.xlsx')) as wb:
+            res = wb['2d_classic'].load()
+            assert res.ndim == 2
+            assert res.shape == (5, 3)
+            assert res.axes.names == ['age', None]
+            assert_array_equal(res[0, :], [3722, 3395, 3347])
+
         # 3) without headers
         # ==================
         with open_excel(visible=False) as wb:

From 9c1912aee571f089aff6ebb42ee1d78f686dd3f4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 4 Oct 2017 12:08:22 +0200
Subject: [PATCH 767/899] added libiconv in doc/environment.yml (to fix
 readthedocs failure)

---
 doc/environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/environment.yml b/doc/environment.yml
index 7e2eebe21..adeb8d014 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -10,5 +10,6 @@ dependencies:
   - pytables
   - sphinx
   - numpydoc
+  - libiconv
   - pandoc
   - ipython

From 07ec080cbce32d95c5dfb02bad348fb8983bc03c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 5 Oct 2017 15:28:07 +0200
Subject: [PATCH 768/899] revert "added libiconv in doc/environment.yml (to fix
 readthedocs failure)"

This reverts commit 9c1912aee571f089aff6ebb42ee1d78f686dd3f4.
---
 doc/environment.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/doc/environment.yml b/doc/environment.yml
index adeb8d014..7e2eebe21 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -10,6 +10,5 @@ dependencies:
   - pytables
   - sphinx
   - numpydoc
-  - libiconv
   - pandoc
   - ipython

From 83752f83d0c7498288b232e7864516c0963ebbce Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 6 Oct 2017 16:45:02 +0200
Subject: [PATCH 769/899] * fixed bug in setup.py: test/ --> tests/

* fix #461 (readthedocs)
---
 setup.py | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/setup.py b/setup.py
index ef4ead1ce..c59c7f525 100644
--- a/setup.py
+++ b/setup.py
@@ -20,16 +20,16 @@ def readlocal(fname):
 
 LICENSE = 'GPLv3'
 URL = 'https://github.com/liam2/larray'
-PACKAGE_DATA = {'larray': ['test/test.xlsx',
-                           'test_blank_cells.xlsx',
-                           'test/test1d.csv',
-                           'test/test1d_liam2.csv',
-                           'test/test2d.csv',
-                           'test/test3d.csv',
-                           'test/test5d.csv',
-                           'test/test5d_eurostat.csv',
-                           'test/test5d_liam2.csv',
-                           'test/data/*']}
+PACKAGE_DATA = {'larray': ['tests/test.xlsx',
+                           'tests/test_blank_cells.xlsx',
+                           'tests/test1d.csv',
+                           'tests/test1d_liam2.csv',
+                           'tests/test2d.csv',
+                           'tests/test3d.csv',
+                           'tests/test5d.csv',
+                           'tests/test5d_eurostat.csv',
+                           'tests/test5d_liam2.csv',
+                           'tests/data/*']}
 
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',

From ab9eb2a15bb529cf9d25fa8f8df806b75db421ef Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Mon, 9 Oct 2017 09:31:11 +0200
Subject: [PATCH 770/899] fix #454 : display dtype of array when calling info()
 (#459)

fix #454 : display dtype of array when calling info()
---
 doc/source/changes/version_0_26.rst.inc | 12 ++++++++++++
 larray/core/array.py                    |  6 ++++--
 larray/core/session.py                  |  3 +++
 larray/tests/test_array.py              |  3 ++-
 4 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 3c8257890..6e0fe5f1c 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -267,6 +267,18 @@ Miscellaneous improvements
 
 * allowed passing an axis to `set_labels` as 'labels' argument (closes :issue:`408`).
 
+* added data type (dtype) to array.info (closes :issue:`454`):
+
+    >>> arr = ndtest((2, 2), dtype=float)
+    >>> arr
+    a\b   b0   b1
+     a0  0.0  1.0
+     a1  2.0  3.0
+    >>> arr.info
+    2 x 2
+     a [2]: 'a0' 'a1'
+     b [2]: 'b0' 'b1'
+    dtype: float64
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index e92791c95..dad55837c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -3211,17 +3211,19 @@ def info(self):
         2 x 2
          nat [2]: 'BE' 'FO'
          sex [2]: 'M' 'F'
+        dtype: float64
         >>> mat1 = LArray(np.ones((2, 2)), [nat, sex], 'test matrix')
         >>> mat1.info
         test matrix
         2 x 2
          nat [2]: 'BE' 'FO'
          sex [2]: 'M' 'F'
+        dtype: float64
         """
         if self.title:
-            return ReprString(self.title + '\n' + self.axes.info)
+            return ReprString(self.title + '\n' + self.axes.info + '\ndtype: ' + self.dtype.name)
         else:
-            return self.axes.info
+            return ReprString(self.axes.info + '\ndtype: ' + self.dtype.name)
 
     def ratio(self, *axes):
         """Returns an array with all values divided by the sum of values along given axes.
diff --git a/larray/core/session.py b/larray/core/session.py
index 06c3e67bb..f9cb6f4f9 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -624,12 +624,15 @@ def items(self):
         ...     print("{}: {}".format(k, v.info))
         arr2: 4
          a [4]: 'a0' 'a1' 'a2' 'a3'
+        dtype: int64
         arr1: 2 x 2
          a [2]: 'a0' 'a1'
          b [2]: 'b0' 'b1'
+        dtype: int64
         arr3: 3 x 2
          a [3]: 'a0' 'a1' 'a2'
          b [2]: 'b0' 'b1'
+        dtype: int64
         """
         return self._objects.items()
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index ccdc8edd2..7c35c2f82 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -164,7 +164,8 @@ def test_info(self):
  age [116]: 0 1 2 ... 113 114 115
  geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'
  sex [2]: 'M' 'F'
- lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'"""
+ lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'
+dtype: float64"""
         self.assertEqual(self.larray.info, expected)
 
     def test_str(self):

From 09688a1bc9d5f9cb99825a2e318db61e94968c79 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:30:53 +0200
Subject: [PATCH 771/899] CLN: remove obsolete "TODO" comments at the top of
 core/array.py

ideally we should create issues for the remaining comments and remove them from the code
---
 larray/core/array.py | 56 +++++++++-----------------------------------
 1 file changed, 11 insertions(+), 45 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index dad55837c..4ffc40651 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -12,60 +12,26 @@
 Matrix class
 """
 
-# * when trying to aggregate on an non existing Axis (using x.blabla),
-#   the error message is awful
+# ? implement multi group in one axis getitem: lipro['P01,P02;P05'] <=> (lipro['P01,P02'], lipro['P05'])
 
-# ? implement multi group in one axis getitem:
-#   lipro['P01,P02;P05'] <=> (lipro.group('P01,P02'), lipro.group('P05'))
-#                        <=> (lipro['P01,P02'], lipro['P05'])
+# * we need an API to get to the "next" label. Sometimes, we want to use label+1, but that is problematic when labels
+#   are not numeric, or have not a step of 1. x.agegroup[x.agegroup.after(25):]
 
-# discuss LGroup with Geert:
-# I do not "expand" key (eg :) upon group creation for perf reason
-# LGroup[:] is much faster than [A01,A02,...,A99]
-# I could make that all "contiguous" ranges are conv to slices (return views)
-# but that might introduce confusing differences if they update/setitem their
-# arrays
-
-# * we need an API to get to the "next" label. Sometimes, we want to use
-#   label+1, but when label is not numeric, or has not a step of 1, that's
-#   problematic. x.agegroup[x.agegroup.after(25):]
-
-# * implement keepaxes=True for _group_aggregate instead of/in addition to
-#   group tuples
+# * implement keepaxes=True for _group_aggregate instead of/in addition to group tuples
 
 # ? implement newaxis
 
-# * split unit tests
-
-# * reindex array (ie make it conform to another index, eg of another
-#   array). This can be used both for doing operations (add, divide, ...)
-#   involving arrays with incompatible axes and to (manually) reorder one axis
-#   labels
-
-# * test to_csv: does it consume too much mem?
-#   ---> test pandas (one dimension horizontally)
-
-# * add labels in LGroups.__str__
-
-# * IO functions: csv/hdf/excel?/...?
-#   >> needs discussion of the formats (users involved in the discussion?)
-#      + check pandas dialects
-# * plotting (see plot.py)
-#   >> check pandas API
-# * implement more Axis functions:
-#   - arithmetic operations: + -
-#   - regexp functions: geo.group('A3*')
-#   - sequence?: geo.seq('A31', 'A38')
-#     this NOT exactly equivalent to geo['A31':'A38'] because the later
-#     can contain A22 if it is defined between A31 and A38
+# * Axis.sequence? geo.seq('A31', 'A38') (equivalent to geo['A31..A38'])
+
 # * re-implement row_totals/col_totals? or what do we do with them?
-# * all the other TODO/XXX in the code
+
 # * time specific API so that we know if we go for a subclass or not
+
 # * data alignment in arithmetic methods
+
 # * test structured arrays
-# * review all method & argument names
-# ? move "utils" to its own project (so that it is not duplicated between
-#   larray and liam2)
+
+# ? move "utils" to its own project (so that it is not duplicated between larray and liam2)
 #   OR
 #   include utils only in larray project and make larray a dependency of liam2
 #   (and potentially rename it to reflect the broader scope)

From a33d433c3685a4627d63f07f637741e9793378e6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:31:33 +0200
Subject: [PATCH 772/899] CLN: removed unused imports

---
 larray/core/array.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 4ffc40651..e51581ee4 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -36,10 +36,8 @@
 #   include utils only in larray project and make larray a dependency of liam2
 #   (and potentially rename it to reflect the broader scope)
 
-import csv
 from collections import Iterable, Sequence
 from itertools import product, chain, groupby, islice
-import re
 import os
 import sys
 import warnings
@@ -65,7 +63,7 @@
 
 from larray.core.abc import ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (Group, PGroup, LGroup, remove_nested_groups, _to_tick, _to_key, _to_keys,
+from larray.core.group import (Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys,
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,

From 56e898e6044d8157e1a2cbef8fddc5a925341829 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:34:44 +0200
Subject: [PATCH 773/899] CLN: strip trailing spaces

---
 larray/core/array.py | 30 +++++++++++++++---------------
 larray/core/axis.py  | 30 +++++++++++++++---------------
 2 files changed, 30 insertions(+), 30 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index e51581ee4..ca4e48bf7 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6067,8 +6067,8 @@ def set_labels(self, axis=None, labels=None, inplace=False, **kwargs):
         inplace : bool, optional
             Whether or not to modify the original object or return a new array and leave the original intact.
             Defaults to False.
-        **kwargs : 
-            `axis`=`labels` for each axis you want to set labels. 
+        **kwargs :
+            `axis`=`labels` for each axis you want to set labels.
 
         Returns
         -------
@@ -6109,9 +6109,9 @@ def set_labels(self, axis=None, labels=None, inplace=False, **kwargs):
           nat\\sex  Men  Women
           Belgian    0      1
         Foreigner    2      3
-        
+
         or use keyword arguments
-        
+
         >>> a.set_labels(sex='Men,Women', nat='Belgian,Foreigner')
           nat\\sex  Men  Women
           Belgian    0      1
@@ -6329,8 +6329,8 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         Parameters
         ----------
         axes : tuple, list, AxisCollection of axes or list of combination of those or dict, optional
-            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes 
-            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es), 
+            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes
+            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es),
             use a {(axes, to, combine): 'new_axis_name'} dictionary. Defaults to all axes.
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
@@ -6387,9 +6387,9 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         a1_c0   b1  12  13
         a1_c1   b0  10  11
         a1_c1   b1  14  15
-        
+
         # make several combinations at once
-        
+
         >>> arr.combine_axes([('a', 'c'), ('b', 'd')])
         a_c\\b_d  b0_d0  b0_d1  b1_d0  b1_d1
           a0_c0      0      1      4      5
@@ -6435,8 +6435,8 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         Parameters
         ----------
         axes : int, str, Axis or any combination of those
-            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass 
-            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)} 
+            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass
+            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)}
             dictionary. Defaults to all axes whose name contains the `sep` delimiter.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'.
@@ -6477,18 +6477,18 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
-         
+
         Split several axes at once
-        
+
         >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
-        >>> combined 
+        >>> combined
         a_b\\c_d  c0_d0  c0_d1  c1_d0  c1_d1
           a0_b0      0      1      2      3
           a0_b1      4      5      6      7
           a1_b0      8      9     10     11
           a1_b1     12     13     14     15
-        >>> # equivalent to combined.split_axes() which split all axes 
-        >>> # whose name contains the `sep` delimiter. 
+        >>> # equivalent to combined.split_axes() which split all axes
+        >>> # whose name contains the `sep` delimiter.
         >>> combined.split_axes(['a_b', 'c_d'])
          a   b  c\\d  d0  d1
         a0  b0   c0   0   1
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 8fe499823..2f08f0022 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2112,8 +2112,8 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         Parameters
         ----------
         axes : tuple, list, AxisCollection of axes or list of combination of those or dict, optional
-            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes 
-            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es), 
+            axes to combine. Tuple, list or AxisCollection will combine several axes into one. To chain several axes
+            combinations, pass a list of tuple/list/AxisCollection of axes. To set the name(s) of resulting axis(es),
             use a {(axes, to, combine): 'new_axis_name'} dictionary. Defaults to all axes.
         sep : str, optional
             delimiter to use for combining. Defaults to '_'.
@@ -2128,7 +2128,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
         -------
         AxisCollection
             New AxisCollection with combined axes.
-            
+
         Examples
         --------
         >>> axes = AxisCollection('a=a0,a1;b=b0..b2')
@@ -2158,9 +2158,9 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
             Axis(['b0', 'b1', 'b2'], 'b'),
             Axis(['d0', 'd1'], 'd')
         ])
-        
+
         # make several combinations at once
-        
+
         >>> axes.combine_axes([('a', 'c'), ('b', 'd')])
         AxisCollection([
             Axis(['a0_c0', 'a0_c1', 'a0_c2', 'a1_c0', 'a1_c1', 'a1_c2'], 'a_c'),
@@ -2228,10 +2228,10 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
 
         Parameters
         ----------
-        axes : int, str, Axis or any combination of those, optional 
-            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass 
-            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)} 
-            dictionary. Defaults to all axes whose name contains the `sep` delimiter.     
+        axes : int, str, Axis or any combination of those, optional
+            axes to split. All labels *must* contain the given delimiter string. To split several axes at once, pass
+            a list or tuple of axes to split. To set the names of resulting axes, use a {'axis_to_split': (new, axes)}
+            dictionary. Defaults to all axes whose name contains the `sep` delimiter.
         sep : str, optional
             delimiter to use for splitting. Defaults to '_'. When `regex` is provided, the delimiter is only used on
             `names` if given as one string or on axis name if `names` is None.
@@ -2243,7 +2243,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         Returns
         -------
         AxisCollection
-        
+
         Examples
         --------
         >>> col = AxisCollection('a=a0,a1;b=b0..b2')
@@ -2275,17 +2275,17 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
             Axis(['a0', 'a1'], 'a'),
             Axis(['b0', 'b1', 'b2'], 'b')
         ])
-         
+
         Split several axes at once
-        
+
         >>> combined = AxisCollection('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
-        >>> combined 
+        >>> combined
         AxisCollection([
             Axis(['a0_b0', 'a0_b1', 'a1_b0', 'a1_b1'], 'a_b'),
             Axis(['c0_d0', 'c0_d1', 'c1_d0', 'c1_d1'], 'c_d')
         ])
-        >>> # equivalent to combined.split_axes() which split all axes 
-        >>> # containing the delimiter defined by the argument `sep` 
+        >>> # equivalent to combined.split_axes() which split all axes
+        >>> # containing the delimiter defined by the argument `sep`
         >>> combined.split_axes(['a_b', 'c_d'])
         AxisCollection([
             Axis(['a0', 'a1'], 'a'),

From 8fcea7f7cd193d39e49b2bde939b714c9bb74552 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:36:33 +0200
Subject: [PATCH 774/899] fixed Axis.intersection and difference docstrings

---
 larray/core/axis.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index 2f08f0022..d256a909a 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -959,16 +959,16 @@ def intersection(self, other):
         """Returns axis with the (set) intersection of this axis labels and other labels.
 
         In other words, this will use labels from this axis if they are also in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
+        kept intact.
 
         Parameters
         ----------
-        other : Group or any sequence of labels
+        other : Axis or any sequence of labels
             other labels
 
         Returns
         -------
-        LSet
+        Axis
 
         Examples
         --------
@@ -987,7 +987,7 @@ def difference(self, other):
         """Returns axis with the (set) difference of this axis labels and other labels.
 
         In other words, this will use labels from this axis if they are not in other. Labels relative order will be
-        kept intact, but only unique labels will be returned.
+        kept intact.
 
         Parameters
         ----------

From 05c0312f6a169ffcf67374392023b33606754944 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:37:39 +0200
Subject: [PATCH 775/899] made Axis.intersection and Axis.difference code a bit
 more readable

---
 larray/core/axis.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index d256a909a..65f66c438 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -980,8 +980,8 @@ def intersection(self, other):
         """
         if isinstance(other, Axis):
             other = other.labels
-        seen = set(other)
-        return Axis([l for l in self.labels if l in seen], self.name)
+        to_keep = set(other)
+        return Axis([l for l in self.labels if l in to_keep], self.name)
 
     def difference(self, other):
         """Returns axis with the (set) difference of this axis labels and other labels.
@@ -1008,8 +1008,8 @@ def difference(self, other):
         """
         if isinstance(other, Axis):
             other = other.labels
-        seen = set(other)
-        return Axis([l for l in self.labels if l not in seen], self.name)
+        to_drop = set(other)
+        return Axis([l for l in self.labels if l not in to_drop], self.name)
 
     def align(self, other, join='outer'):
         """Align axis with other object using specified join method.

From 5974304753f9117917e7b5b00b5599ec6084d306 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:38:22 +0200
Subject: [PATCH 776/899] fixed Group.__repr__ when axis is an AxisReference (x
 -> X)

---
 larray/core/group.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index 05d51b82e..18e8859f1 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -740,7 +740,7 @@ def __repr__(self):
 
         axis_name = self.axis.name if isinstance(self.axis, ABCAxis) else self.axis
         if axis_name is not None:
-            axis_name = 'x.{}'.format(axis_name) if isinstance(self.axis, ABCAxisReference) else axis_name
+            axis_name = 'X.{}'.format(axis_name) if isinstance(self.axis, ABCAxisReference) else axis_name
             s = self.format_string.format(axis=axis_name, key=key_repr)
         else:
             if self.axis is not None:
@@ -909,7 +909,7 @@ def by(self, length, step=None):
         >>> age[1:5].by(3, 2)
         (age.i[1:4], age.i[3:6], age.i[5:6])
         >>> X.age[[0, 1, 2, 3, 4]].by(2)
-        (x.age[0, 1], x.age[2, 3], x.age[4])
+        (X.age[0, 1], X.age[2, 3], X.age[4])
         """
         if step is None:
             step = length
@@ -1339,10 +1339,10 @@ class LGroup(Group):
     >>> age = Axis('0..100', 'age')
     >>> teens = X.age[10:19].named('teens')
     >>> teens
-    x.age[10:19] >> 'teens'
+    X.age[10:19] >> 'teens'
     >>> teens = X.age[10:19] >> 'teens'
     >>> teens
-    x.age[10:19] >> 'teens'
+    X.age[10:19] >> 'teens'
     """
     format_string = "{axis}[{key}]"
 

From a101f4a7a418f81560b44feef8f7e1f048f9b3d2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 3 Oct 2017 12:46:58 +0200
Subject: [PATCH 777/899] made Session binary and unary ops tolerant to all
 exceptions (the result will be nan for the concerned arrays)

---
 doc/source/changes/version_0_26.rst.inc | 9 +++++++--
 larray/core/session.py                  | 5 +++--
 2 files changed, 10 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 6e0fe5f1c..5c6cebc4d 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -283,7 +283,7 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed array creation with axis(es) given as string containing only one label (axis name and label were inversed).
+* fixed array creation with axis(es) given as string containing only one label (axis name and label were inverted).
 
 * fixed reading an array from a CSV or Excel file when the columns axis is not explicitly named (via `\`).
   For example, let's say we want to read a CSV file 'pop.csv' with the following content (indented for clarity) ::
@@ -303,5 +303,10 @@ Fixes
   Closes :issue:`372`.
 
 * fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
-  (closes :issue:`441`)* fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
+  (closes :issue:`441`)
+
+* fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
   (closes :issue:`443`)
+
+* fixed unary and binary operations between sessions failing entirely when the operation failed/was invalid on any of
+  the array. Now the result will be nan for that array but the operation will carry on for other arrays.
diff --git a/larray/core/session.py b/larray/core/session.py
index f9cb6f4f9..d84b29892 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -656,7 +656,8 @@ def opmethod(self, other):
                     other_array = other.get(name, np.nan)
                     try:
                         res_array = getattr(self_array, opfullname)(other_array)
-                    except TypeError:
+                    # TypeError for str arrays, ValueError for incompatible axes, ...
+                    except Exception:
                         res_array = np.nan
                     res.append((name, res_array))
             return Session(res)
@@ -679,7 +680,7 @@ def opmethod(self):
                 for k, v in self.items():
                     try:
                         res_array = getattr(v, opfullname)()
-                    except TypeError:
+                    except Exception:
                         res_array = np.nan
                     res.append((k, res_array))
             return Session(res)

From 4290b635461fa1195da500b0a81cc9f860a4e0af Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 4 Oct 2017 17:14:53 +0200
Subject: [PATCH 778/899] added new assert functions: assert_larray_equal,
 assert_larray_nan_equal, assert_larray_equiv, assert_larray_nan_equiv,
 assert_nparray_equal, assert_nparray_nan_equal, assert_nparray_equiv,
 assert_nparray_nan_equiv

---
 larray/tests/common.py | 48 +++++++++++++++++++++++++++++++++++++++---
 1 file changed, 45 insertions(+), 3 deletions(-)

diff --git a/larray/tests/common.py b/larray/tests/common.py
index b5d1f0f3b..4e028a995 100644
--- a/larray/tests/common.py
+++ b/larray/tests/common.py
@@ -2,7 +2,7 @@
 
 import os
 import numpy as np
-from larray import LArray
+from larray import LArray, isnan, aslarray
 
 
 TESTDATADIR = os.path.dirname(__file__)
@@ -19,7 +19,7 @@ def abspath(relpath):
 # that we know which is which) or use a class, just for that? group(a, b, c) vs family(group(a), b, c)
 
 
-def assert_equal_factory(test_func, check_shape=True, check_axes=True):
+def assert_equal_factory(test_func):
     def assert_equal(a, b):
         if isinstance(a, LArray) and isinstance(b, LArray) and a.axes != b.axes:
             raise AssertionError("axes differ:\n%s\n\nvs\n\n%s" % (a.axes.info, b.axes.info))
@@ -38,15 +38,57 @@ def assert_equal(a, b):
     return assert_equal
 
 
+def assert_larray_equal_factory(test_func, convert=True, check_axes=False):
+    def assert_equal(a, b):
+        if convert:
+            a = aslarray(a)
+            b = aslarray(b)
+        if check_axes and a.axes != b.axes:
+            raise AssertionError("axes differ:\n%s\n\nvs\n\n%s" % (a.axes.info, b.axes.info))
+        equal = test_func(a, b)
+        if not equal.all():
+            notequal = ~equal
+            raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
+    return assert_equal
+
+
+def assert_nparray_equal_factory(test_func, convert=True, check_shape=False):
+    def assert_equal(a, b):
+        if convert:
+            a = np.asarray(a)
+            b = np.asarray(b)
+        if check_shape and a.shape != b.shape:
+            raise AssertionError("shapes differ: %s != %s" % (a.shape, b.shape))
+        equal = test_func(a, b)
+        if not equal.all():
+            notequal = ~equal
+            raise AssertionError("\ngot:\n\n%s\n\nexpected:\n\n%s" % (a[notequal], b[notequal]))
+    return assert_equal
+
+
 def equal(a, b):
     return a == b
 
 
 def nan_equal(a, b):
-    return (a == b) | (np.isnan(a) & np.isnan(b))
+    return (a == b) | (isnan(a) & isnan(b))
 
 
 # numpy.testing.assert_array_equal/assert_equal would work too but it does not (as of numpy 1.10) display specifically
 # the non equal items
+# TODO: this is defined for backward compatibility only (until we update all tests to use either assert_larray* or
+#       assert_nparray*)
 assert_array_equal = assert_equal_factory(equal)
 assert_array_nan_equal = assert_equal_factory(nan_equal)
+
+assert_larray_equal = assert_larray_equal_factory(equal, check_axes=True)
+assert_larray_nan_equal = assert_larray_equal_factory(nan_equal, check_axes=True)
+
+assert_larray_equiv = assert_larray_equal_factory(equal)
+assert_larray_nan_equiv = assert_larray_equal_factory(nan_equal)
+
+assert_nparray_equal = assert_nparray_equal_factory(equal, check_shape=True)
+assert_nparray_nan_equal = assert_nparray_equal_factory(nan_equal, check_shape=True)
+
+assert_nparray_equiv = assert_nparray_equal_factory(equal)
+assert_nparray_nan_equiv = assert_nparray_equal_factory(nan_equal)

From 3c2e9e696c9f070bb7ab9b9882a238858f972680 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 2 Oct 2017 17:28:03 +0200
Subject: [PATCH 779/899] fixed stacking arrays with anonymous axes

This was done by fixing AxisCollection.__contains__ and .index when key
is an anonymous axis. It now searches by value (using Axis.equals)
after searching by id.
---
 doc/source/changes/version_0_26.rst.inc |  6 ++-
 larray/core/array.py                    |  2 +
 larray/core/axis.py                     | 28 +++++++---
 larray/tests/test_array.py              | 37 +++++++++++--
 larray/tests/test_axis.py               | 72 ++++++++++++++++++++++++-
 5 files changed, 134 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 5c6cebc4d..9ddc2d99e 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -10,6 +10,8 @@
 * renamed `na` argument of `read_csv`, `read_excel`, `read_hdf` and `read_sas` functions to `fill_value` to avoid
   confusion as to what the argument does and to be consistent with `reindex` and `align` (closes :issue:`394`).
 
+* renamed `split_axis` to `split_axes` to reflect the fact that it can now split several axes at once (see below).
+
 
 New features
 ------------
@@ -175,7 +177,7 @@ Miscellaneous improvements
     >>> group_even_year
     year[2000, 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016]
 
-* renamed `split_axis` as `split_axes` which now allows to split several axes at once (closes :issue:`366`):
+* `split_axes` (formerly `split_axis`) now allows to split several axes at once (closes :issue:`366`):
 
     >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
     >>> combined
@@ -310,3 +312,5 @@ Fixes
 
 * fixed unary and binary operations between sessions failing entirely when the operation failed/was invalid on any of
   the array. Now the result will be nan for that array but the operation will carry on for other arrays.
+
+* fixed stacking arrays with anonymous axes.
diff --git a/larray/core/array.py b/larray/core/array.py
index ca4e48bf7..49121ce50 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1779,6 +1779,8 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         if not valid_axes:
             raise ValueError("%s is not a valid label for any axis" % axis_key)
         elif len(valid_axes) > 1:
+            # TODO: make an AxisCollection.display_name(axis) method out of this
+            # valid_axes = ', '.join(self.axes.display_name(axis) for a in valid_axes)
             valid_axes = ', '.join(a.name if a.name is not None else '{{{}}}'.format(self.axes.index(a))
                                    for a in valid_axes)
             raise ValueError('%s is ambiguous (valid in %s)' % (axis_key, valid_axes))
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 65f66c438..0e1ffa0fa 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1350,15 +1350,16 @@ def __contains__(self, key):
         if isinstance(key, int):
             return -len(self) <= key < len(self)
         elif isinstance(key, Axis):
-            if key.name is None:
-                # XXX: use only this in all cases?
+            # the special case is just a performance optimization to avoid scanning through the whole list
+            if key.name is not None:
+                return key.name in self._map
+            else:
                 try:
                     self.index(key)
                     return True
                 except ValueError:
                     return False
-            else:
-                key = key.name
+        # key can be anything, it should just return False in case of weird types
         return key in self._map
 
     def isaxis(self, value):
@@ -1687,10 +1688,25 @@ def index(self, axis):
                 raise ValueError("axis %d is not in collection" % axis)
         elif isinstance(axis, Axis):
             try:
-                # first look by id. This avoids testing labels of each axis and makes sure the result is correct even
-                # if there are several axes with no name and the same labels.
+                # 1) first look for that particular axis object
+
+                # This avoids testing labels of each axis and makes sure the result is correct even if there are
+                # several axes with the same name and labels.
                 return index_by_id(self._list, axis)
             except ValueError:
+                # 2) look for an axis with the same name and labels using axis.equals
+
+                # This makes sure that if there are several axes with the same name but different labels, it returns
+                # the index of the one with the correct labels. This is especially important for anonymous axes but is
+                # also useful for other axes. Note that this shouldn't be too slow as labels will only be actually
+                # checked if the name match.
+
+                # We cannot use self._list.index because it use Axis.__eq__ which produces an LArray
+                for i, item in enumerate(self._list):
+                    if item.equals(axis):
+                        return i
+
+                # 3) otherwise look for any axis with the same name
                 name = axis.name
         else:
             name = axis
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 7c35c2f82..75bce76e8 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -13,7 +13,7 @@
 except ImportError:
     xw = None
 
-from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, df_aslarray, sequence)
@@ -3727,8 +3727,16 @@ def test_broadcast_with(self):
         a2 = ndrange((3, 1))
         b = a2.broadcast_with(a1)
         self.assertEqual(b.ndim, 2)
-        self.assertEqual(b.shape, (3, 1))
-        assert_array_equal(b, a2)
+        # common axes are reordered according to target (a1 in this case)
+        self.assertEqual(b.shape, (1, 3))
+        assert_larray_equiv(b, a2)
+
+        a1 = ndrange((2, 3))
+        a2 = ndrange((3, 2))
+        b = a2.broadcast_with(a1)
+        self.assertEqual(b.ndim, 2)
+        self.assertEqual(b.shape, (2, 3))
+        assert_larray_equiv(b, a2)
 
     def test_plot(self):
         pass
@@ -3878,6 +3886,29 @@ def test_split_axes(self):
         assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0b1', 'c2', 'd3', 'e2f1']
 
     def test_stack(self):
+        # simple
+        arr0 = ndtest(3)
+        arr1 = ndtest(3, start=-1)
+        a = arr0.axes[0]
+        b = Axis('b=b0,b1')
+        expected = LArray([[0, -1],
+                           [1,  0],
+                           [2,  1]], [a, b])
+        res = stack((arr0, arr1), b)
+        assert_array_equal(res, expected)
+
+        # simple with anonymous axis
+        arr0 = ndrange(3)
+        arr1 = ndrange(3, start=-1)
+        a = arr0.axes[0]
+        b = Axis('b=b0,b1')
+        expected = LArray([[0, -1],
+                           [1,  0],
+                           [2,  1]], [a, b])
+        res = stack((arr0, arr1), b)
+        assert_array_equal(res, expected)
+
+        # nd
         sex = Axis('sex=M,F')
         arr1 = ones('nat=BE, FO')
         # not using the same length as nat, otherwise numpy gets confused :(
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 776d18a12..d4f3f05fd 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -704,7 +704,77 @@ def test_replace(self):
         self.assertEqual(newcol.names, ['lipro', 'letters', 'age'])
         self.assertEqual(newcol.shape, (4, 3, 8))
 
-    # TODO: add contains_test (using both axis name and axis objects)
+    def test_contains(self):
+        col = self.collection
+        self.assertTrue('lipro' in col)
+        self.assertFalse('nonexisting' in col)
+
+        self.assertTrue(0 in col)
+        self.assertTrue(1 in col)
+        self.assertTrue(2 in col)
+        self.assertTrue(-1 in col)
+        self.assertTrue(-2 in col)
+        self.assertTrue(-3 in col)
+        self.assertFalse(3 in col)
+
+        # objects actually in col
+        self.assertTrue(self.lipro in col)
+        self.assertTrue(self.sex in col)
+        self.assertTrue(self.age in col)
+        # other axis with the same name
+        self.assertTrue(self.sex2 in col)
+        self.assertFalse(self.geo in col)
+        self.assertFalse(self.value in col)
+
+        # test anonymous axes
+        anon = Axis([0, 1])
+        col.append(anon)
+        self.assertTrue(anon in col)
+        # different object, same values
+        anon2 = anon.copy()
+        self.assertTrue(anon2 in col)
+        # different values
+        anon3 = Axis([0, 2])
+        self.assertFalse(anon3 in col)
+
+    def test_index(self):
+        col = self.collection
+        self.assertEqual(col.index('lipro'), 0)
+        with self.assertRaises(ValueError):
+            col.index('nonexisting')
+        self.assertEqual(col.index(0), 0)
+        self.assertEqual(col.index(1), 1)
+        self.assertEqual(col.index(2), 2)
+        self.assertEqual(col.index(-1), -1)
+        self.assertEqual(col.index(-2), -2)
+        self.assertEqual(col.index(-3), -3)
+        with self.assertRaises(ValueError):
+            col.index(3)
+
+        # objects actually in col
+        self.assertEqual(col.index(self.lipro), 0)
+        self.assertEqual(col.index(self.sex), 1)
+        self.assertEqual(col.index(self.age), 2)
+        # other axis with the same name
+        self.assertEqual(col.index(self.sex2), 1)
+        # non existing
+        with self.assertRaises(ValueError):
+            col.index(self.geo)
+        with self.assertRaises(ValueError):
+            col.index(self.value)
+
+        # test anonymous axes
+        anon = Axis([0, 1])
+        col.append(anon)
+        self.assertEqual(col.index(anon), 3)
+        # different object, same values
+        anon2 = anon.copy()
+        self.assertEqual(col.index(anon2), 3)
+        # different values
+        anon3 = Axis([0, 2])
+        with self.assertRaises(ValueError):
+            col.index(anon3)
+
     def test_get(self):
         col = self.collection
         self.assert_axis_eq(col.get('lipro'), self.lipro)

From 2e9c1f3d53b6b02776930989873af4dfce1af23e Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 3 Apr 2017 15:35:24 +0200
Subject: [PATCH 780/899] fix #50 : (syntax) replaced PGroup by IGroup

---
 doc/source/api.rst         | 26 +++++++-------
 larray/core/array.py       | 70 +++++++++++++++++++-------------------
 larray/core/axis.py        | 10 +++---
 larray/core/group.py       | 42 ++++++++++++-----------
 larray/tests/test_array.py | 16 ++++-----
 larray/tests/test_axis.py  | 16 ++++-----
 larray/tests/test_group.py |  2 +-
 7 files changed, 92 insertions(+), 90 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 117380750..6bd70dfb4 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -80,28 +80,28 @@ Testing
 Group
 =====
 
-PGroup
+IGroup
 ------
 
 .. autosummary::
    :toctree: _generated/
 
-   PGroup
+   IGroup
 
 .. autosummary::
    :toctree: _generated/
 
-   PGroup.named
-   PGroup.with_axis
-   PGroup.by
-   PGroup.translate
-   PGroup.union
-   PGroup.intersection
-   PGroup.difference
-   PGroup.containing
-   PGroup.startingwith
-   PGroup.endingwith
-   PGroup.matching
+   IGroup.named
+   IGroup.with_axis
+   IGroup.by
+   IGroup.translate
+   IGroup.union
+   IGroup.intersection
+   IGroup.difference
+   IGroup.containing
+   IGroup.startingwith
+   IGroup.endingwith
+   IGroup.matching
 
 LGroup
 ------
diff --git a/larray/core/array.py b/larray/core/array.py
index 49121ce50..cefc545f3 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -63,7 +63,7 @@
 
 from larray.core.abc import ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (Group, PGroup, LGroup, remove_nested_groups, _to_key, _to_keys,
+from larray.core.group import (Group, IGroup, LGroup, remove_nested_groups, _to_key, _to_keys,
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
@@ -306,8 +306,8 @@ def concat_empty(axis, arrays_axes, dtype):
     cumlen = np.cumsum(lengths)
     start_bounds = np.concatenate(([0], cumlen[:-1]))
     stop_bounds = cumlen
-    # XXX: wouldn't it be nice to be able to say that? ie translation from position to label on the original axis then
-    # translation to position on the actual result axis?
+    # XXX: wouldn't it be nice to be able to say that? ie translation from index to label on the original axis then
+    # translation to index on the actual result axis?
     # result[:axis.i[-1]]
     return result, [result[combined_axis.i[start:stop]]
                     for start, stop in zip(start_bounds, stop_bounds)]
@@ -316,18 +316,18 @@ def concat_empty(axis, arrays_axes, dtype):
 class LArrayIterator(object):
     def __init__(self, array):
         self.array = array
-        self.position = 0
+        self.index = 0
 
     def __iter__(self):
         return self
 
     def __next__(self):
         array = self.array
-        if self.position == len(self.array):
+        if self.index == len(self.array):
             raise StopIteration
-        # result = array.i[array.axes[0].i[self.position]]
-        result = array.i[self.position]
-        self.position += 1
+        # result = array.i[array.axes[0].i[self.index]]
+        result = array.i[self.index]
+        self.index += 1
         return result
     # Python 2
     next = __next__
@@ -339,7 +339,7 @@ def __init__(self, array):
 
     def _translate_key(self, key):
         """
-        Translates key into tuple of PGroup, i.e.
+        Translates key into tuple of IGroup, i.e.
         tuple of collections of labels.
         """
         if not isinstance(key, tuple):
@@ -419,12 +419,12 @@ def get_axis(obj, i):
     obj : LArray or other array
         Input LArray or any array object which has a shape attribute (NumPy or Pandas array).
     i : int
-        Position of the axis.
+        index of the axis.
 
     Returns
     -------
     Axis
-        Axis corresponding to the given position if input `obj` is a LArray. A new anonymous Axis with the length of
+        Axis corresponding to the given index if input `obj` is a LArray. A new anonymous Axis with the length of
         the ith dimension of the input `obj` otherwise.
 
     Examples
@@ -514,7 +514,7 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='perform', extra_a
 
             An axis can be referred by:
 
-            * its position (integer). Position can be a negative integer, in which case it counts from the last to the
+            * its index (integer). Index can be a negative integer, in which case it counts from the last to the
               first axis.
             * its name (str or AxisReference). You can use either a simple string ('axis_name') or the special
               variable x (x.axis_name).
@@ -806,7 +806,7 @@ def nonzero(self):
         >>> arr.nonzero() # doctest: +SKIP
         [array([0, 1, 1]), array([1, 0, 2])]
         """
-        # FIXME: return tuple of PGroup instead (or even NDGroup) so that you
+        # FIXME: return tuple of IGroup instead (or even NDGroup) so that you
         #  can do a[a.nonzero()]
         return self.data.nonzero()
 
@@ -916,7 +916,7 @@ def _ipython_key_completions_(self):
     @property
     def i(self):
         """
-        Allows selection of a subset using positions of labels.
+        Allows selection of a subset using indices of labels.
 
         Examples
         --------
@@ -1647,14 +1647,14 @@ def sort_values(self, key, reverse=False):
         posargsort = subset.posargsort()
 
         # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
-        # PGroup(nat  EU  FO  BE
+        # IGroup(nat  EU  FO  BE
         #              1   2   0, axis='nat')
         # which sorts the *data* correctly, but the labels on the nat axis are not sorted (because the __getitem__ in
         # that case reuse the key axis as-is -- like it should).
         # Both use cases have value, but I think reordering the ticks should be the default. Now, I am unsure where to
-        # change this. Probably in PGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
+        # change this. Probably in IGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
         # that I have now?
-        # FWIW, using .data, I get PGroup([1, 2, 0], axis='nat'), which works.
+        # FWIW, using .data, I get IGroup([1, 2, 0], axis='nat'), which works.
         sorter = axis.i[posargsort.data]
         res = self[sorter]
         return res[axis[::-1]] if reverse else res
@@ -1735,21 +1735,21 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
 
         Returns
         -------
-        PGroup
+        IGroup
             Positional group with valid axes (from self.axes)
         """
 
         if isinstance(axis_key, Group) and axis_key.axis is not None:
             # retarget to real axis, if needed
-            # only retarget PGroup and not LGroup to give the opportunity for axis.translate to try the "ticks"
+            # only retarget IGroup and not LGroup to give the opportunity for axis.translate to try the "ticks"
             # version of the group ONLY if key.axis is not real_axis (for performance reasons)
-            if isinstance(axis_key, PGroup):
+            if isinstance(axis_key, IGroup):
                 axis_key = axis_key.retarget_to(self.axes[axis_key.axis])
 
         axis_key = remove_nested_groups(axis_key)
 
         # already positional
-        if isinstance(axis_key, PGroup):
+        if isinstance(axis_key, IGroup):
             if axis_key.axis is None:
                 raise ValueError("positional groups without axis are not supported")
             return axis_key
@@ -1791,7 +1791,7 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
 
         Returns
         -------
-        PGroup
+        IGroup
             Positional group with valid axes (from self.axes)
         """
         if isinstance(axis_key, ExprNode):
@@ -1801,7 +1801,7 @@ def _translate_axis_key(self, axis_key, bool_passthrough=True):
             if len(axis_key.axes) > 1:
                 raise ValueError("mixing ND boolean filters with other filters in getitem is not currently supported")
             else:
-                return PGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
+                return IGroup(axis_key.nonzero()[0], axis=axis_key.axes[0])
 
         # translate Axis keys to LGroup keys
         # FIXME: this should be simply:
@@ -1913,7 +1913,7 @@ def _translated_key(self, key, bool_stuff=False):
                 return tuple(map_key.get(axis, slice(None)) for axis in self.axes)
             else:
                 # correct shape
-                # FIXME: if the key has both missing and extra axes (at the position of the missing axes), the shape
+                # FIXME: if the key has both missing and extra axes (at the index of the missing axes), the shape
                 # could be the same while the result should not
                 return np.asarray(key).nonzero()
 
@@ -1928,18 +1928,18 @@ def _translated_key(self, key, bool_stuff=False):
             key = [axis_key for axis_key in key
                    if not _isnoneslice(axis_key) and axis_key is not Ellipsis]
 
-            # translate all keys to PGroup
+            # translate all keys to IGroup
             key = [self._translate_axis_key(axis_key, bool_passthrough=not bool_stuff)
                    for axis_key in key]
 
-            assert all(isinstance(axis_key, PGroup) for axis_key in key)
+            assert all(isinstance(axis_key, IGroup) for axis_key in key)
 
             # extract axis from Group keys
             key_items = [(k.axis, k) for k in key]
         else:
             # key axes could be strings or axis references and we want real axes
             key_items = [(self.axes[k], v) for k, v in key.items()]
-            # TODO: use _translate_axis_key (to translate to PGroup here too)
+            # TODO: use _translate_axis_key (to translate to IGroup here too)
             # key_items = [axis.translate(axis_key, bool_passthrough=not bool_stuff)
             #              for axis, axis_key in key_items]
 
@@ -1957,7 +1957,7 @@ def _translated_key(self, key, bool_stuff=False):
         key = [key[axis] if axis in key else slice(None)
                for axis in self.axes]
 
-        # pgroup -> raw positional
+        # IGroup -> raw positional
         return tuple(axis.translate(axis_key, bool_passthrough=not bool_stuff)
                      for axis, axis_key in zip(self.axes, key))
 
@@ -2085,7 +2085,7 @@ def __setitem__(self, key, value, collapse_slices=True):
         # axis, we get combined dimensions out of it.
 
         # int LArray keys
-        # the int value represent a position along ONE particular axis, even if the key has more than one axis.
+        # the int value represent an index along ONE particular axis, even if the key has more than one axis.
         if isinstance(key, ExprNode):
             key = key.evaluate(self.axes)
 
@@ -2679,8 +2679,8 @@ def _group_aggregate(self, op, items, keepaxes=False, out=None, **kwargs):
 
                 # we need only lists of ticks, not single ticks, otherwise the dimension is discarded too early
                 # (in __getitem__ instead of in the aggregate func)
-                if isinstance(group, PGroup) and np.isscalar(group.key):
-                    group = PGroup([group.key], axis=group.axis)
+                if isinstance(group, IGroup) and np.isscalar(group.key):
+                    group = IGroup([group.key], axis=group.axis)
                 elif isinstance(group, LGroup):
                     key = _to_key(group.key)
                     assert not isinstance(key, Group)
@@ -2761,7 +2761,7 @@ def to_labelgroup(key, stack_depth=1):
                 # a tuple is supposed to be several groups on the same axis
                 # TODO: it would be better to use self._translate_axis_key directly (so that we do not need to do the
                 # label -> position translation twice) but this fails because the groups are also used as ticks on the
-                # new axis, and pgroups are not the same that LGroups in this regard (I wonder if ideally it shouldn't
+                # new axis, and igroups are not the same that LGroups in this regard (I wonder if ideally it shouldn't
                 # be the same???)
                 # groups = tuple(self._translate_axis_key(k) for k in key)
                 groups = tuple(self._guess_axis(_to_key(k, stack_depth + 1)) for k in key)
@@ -6420,7 +6420,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
 
         transposed_axes = self.axes[:]
         for axes_to_combine, name in axes.items():
-            # transpose all axes next to each other, using position of first axis
+            # transpose all axes next to each other, using index of first axis
             axes_to_combine = self.axes[axes_to_combine]
             axes_indices = [transposed_axes.index(axis) for axis in axes_to_combine]
             min_axis_index = min(axes_indices)
@@ -7169,7 +7169,7 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     start : int or float, optional
         Start value
     label_start : int, optional
-        Label position for each axis is `label_start + position`. `label_start` defaults to 0.
+        Label index for each axis is `label_start + position`. `label_start` defaults to 0.
     title : str, optional
         Title.
     dtype : type or np.dtype, optional
@@ -7659,7 +7659,7 @@ def _equal_modulo_len1(shape1, shape2):
 
 
 # assigning a temporary name to anonymous axes before broadcasting and removing it afterwards is not a good idea after
-# all because it copies the axes/change the object, and thus "flatten" wouldn't work with position axes:
+# all because it copies the axes/change the object, and thus "flatten" wouldn't work with index axes:
 # a[ones(a.axes[axes], dtype=bool)]
 # but if we had assigned axes names from the start (without dropping them) this wouldn't be a problem.
 def make_numpy_broadcastable(values):
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 0e1ffa0fa..b0b2ee91a 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -10,7 +10,7 @@
 
 from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
 from larray.core.expr import ExprNode
-from larray.core.group import (Group, LGroup, PGroup, PGroupMaker, _to_tick, _to_ticks, _to_key, _seq_summary,
+from larray.core.group import (Group, LGroup, IGroup, IGroupMaker, _to_tick, _to_ticks, _to_key, _seq_summary,
                                _contain_group_ticks, _seq_group_to_name)
 from larray.util.oset import *
 from larray.util.misc import (basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id,
@@ -166,7 +166,7 @@ def i(self):
                M     0     3
                F     4     7
         """
-        return PGroupMaker(self)
+        return IGroupMaker(self)
 
     @property
     def labels(self):
@@ -589,7 +589,7 @@ def isscalar(k):
 
         # the not all(np.isscalar) part is necessary to support axis[a, b, c] and axis[[a, b, c]]
         if isinstance(key, (tuple, list)) and not all(isscalar(k) for k in key):
-            # this creates a group for each key if it wasn't and retargets PGroup
+            # this creates a group for each key if it wasn't and retargets IGroup
             list_res = [self[k] for k in key]
             return list_res if isinstance(key, list) else tuple(list_res)
 
@@ -672,13 +672,13 @@ def translate(self, key, bool_passthrough=True):
             except (KeyError, TypeError, IndexError):
                 pass
 
-            # transform "specially formatted strings" for slices, lists, LGroup and PGroup to actual objects
+            # transform "specially formatted strings" for slices, lists, LGroup and IGroup to actual objects
             key = _to_key(key)
 
         if not PY2 and isinstance(key, range):
             key = list(key)
 
-        if isinstance(key, PGroup):
+        if isinstance(key, IGroup):
             assert key.axis is self
             return key.key
 
diff --git a/larray/core/group.py b/larray/core/group.py
index 18e8859f1..dd5f3a915 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -3,6 +3,7 @@
 
 import re
 import sys
+import warnings
 from itertools import product, chain
 
 import numpy as np
@@ -10,9 +11,9 @@
 
 from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
 from larray.util.oset import *
-from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary
+from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary, renamed_to
 
-__all__ = ['Group', 'LGroup', 'LSet', 'PGroup', 'union']
+__all__ = ['Group', 'LGroup', 'LSet', 'IGroup', 'union']
 
 
 def _slice_to_str(key, repr_func=str):
@@ -558,7 +559,7 @@ def _to_key(v, stack_depth=1, parse_single_int=False):
             assert key[-1] == ']'
             key = key[:-1]
         if name is not None or axis is not None:
-            cls = PGroup if positional else LGroup
+            cls = IGroup if positional else LGroup
             key = _to_key(key, stack_depth + 1, parse_single_int=positional)
             return cls(key, name=name, axis=axis)
         else:
@@ -676,9 +677,9 @@ def union(*args):
         return []
 
 
-class PGroupMaker(object):
+class IGroupMaker(object):
     """
-    Generates a new instance of PGroup for a given axis and key.
+    Generates a new instance of IGroup for a given axis and key.
 
     Attributes
     ----------
@@ -694,7 +695,7 @@ def __init__(self, axis):
         self.axis = axis
 
     def __getitem__(self, key):
-        return PGroup(key, None, self.axis)
+        return IGroup(key, None, self.axis)
 
 
 # We need a separate class for LGroup and cannot simply create a new Axis with a subset of values/ticks/labels:
@@ -837,7 +838,7 @@ def __len__(self):
         elif isinstance(value, slice):
             start, stop, key_step = value.start, value.stop, value.step
             # not using stop - start because that does not work for string bounds
-            # (and it is different for LGroup & PGroup)
+            # (and it is different for LGroup & IGroup)
             start_pos = self.translate(start)
             stop_pos = self.translate(stop)
             return stop_pos - start_pos
@@ -845,7 +846,7 @@ def __len__(self):
             raise TypeError('len() of unsized object ({})'.format(value))
 
     def __iter__(self):
-        # XXX: use translate/PGroup instead, so that it works even in the presence of duplicate labels
+        # XXX: use translate/IGroup instead, so that it works even in the presence of duplicate labels
         #      possibly, only if axis is set?
         return iter([LGroup(v, axis=self.axis) for v in self.eval()])
 
@@ -921,13 +922,13 @@ def by(self, length, step=None):
     # the group as if it was an axis).
     # >>> vla = geo['...']
     # >>> # first 10 regions of flanders (this could have some use)
-    # >>> vla.i[:10]  # => PGroup on geo
+    # >>> vla.i[:10]  # => IGroup on geo
     # >>> vla["antwerp", "gent"]  # => LGroup on geo
 
     # LGroup[] => LGroup
-    # PGroup[] => LGroup
-    # PGroup.i[] => PGroup
-    # LGroup.i[] => PGroup
+    # IGroup[] => LGroup
+    # IGroup.i[] => IGroup
+    # LGroup.i[] => IGroup
     def __getitem__(self, key):
         """
 
@@ -962,11 +963,11 @@ def __getitem__(self, key):
                 new_step = orig_step * key_step
                 if new_step == 1:
                     new_step = None
-                return PGroup(slice(new_start, new_stop, new_step), None, self.axis)
+                return IGroup(slice(new_start, new_stop, new_step), None, self.axis)
             elif isinstance(key, int):
-                return PGroup(orig_start_pos + key * orig_step, None, self.axis)
+                return IGroup(orig_start_pos + key * orig_step, None, self.axis)
             elif isinstance(key, (tuple, list)):
-                return PGroup([orig_start_pos + k * orig_step for k in key], None, self.axis)
+                return IGroup([orig_start_pos + k * orig_step for k in key], None, self.axis)
         elif isinstance(orig_key, ABCLArray):
             # XXX: why .i ?
             return cls(orig_key.i[key], None, self.axis)
@@ -1350,7 +1351,7 @@ def __init__(self, key, name=None, axis=None):
         key = _to_key(key)
         Group.__init__(self, key, name, axis)
 
-    # XXX: return PGroup instead?
+    # XXX: return IGroup instead?
     def translate(self, bound=None, stop=False):
         """
         compute position(s) of group
@@ -1450,8 +1451,8 @@ def opmethod(self, other):
     __sub__ = difference
 
 
-class PGroup(Group):
-    """Positional Group.
+class IGroup(Group):
+    """Index Group.
 
     Represents a subset of indices of an axis.
 
@@ -1483,7 +1484,7 @@ def to_label(self):
             if isinstance(key, slice):
                 start = labels[key.start] if key.start is not None else None
                 # FIXME: this probably breaks for reverse slices
-                # - 1 because PGroup slice stop is excluded while LGroup slice stop is included
+                # - 1 because IGroup slice stop is excluded while LGroup slice stop is included
                 stop = labels[key.stop - 1] if key.stop is not None else None
                 return slice(start, stop, key.step)
             else:
@@ -1499,5 +1500,6 @@ def eval(self):
             raise ValueError("Cannot evaluate a positional group without axis")
 
     def __hash__(self):
-        return hash(('PGroup', _to_tick(self.key)))
+        return hash(('IGroup', _to_tick(self.key)))
 
+PGroup = renamed_to(IGroup, 'PGroup')
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 75bce76e8..48dc1b714 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -514,7 +514,7 @@ def test_getitem_bool_anonymous_axes(self):
         self.assertEqual(res.ndim, 3)
         self.assertEqual(res.shape, (2, 12, 5))
 
-    def test_getitem_pgroup_on_int_axis(self):
+    def test_getitem_igroup_on_int_axis(self):
         a = Axis('a=1..3')
         arr = ndrange(a)
         self.assertEqual(arr[a.i[1]], 1)
@@ -543,11 +543,11 @@ def test_getitem_structured_key_with_groups(self):
         # a.2) LGroup.axis not from array.axes
         assert_array_equal((arr[alt_a['a1']:alt_a['a2']]), expected)
 
-        # b) slice with pgroup
-        # b.1) PGroup.axis from array.axes
+        # b) slice with igroup
+        # b.1) IGroup.axis from array.axes
         assert_array_equal((arr[a.i[1]:a.i[2]]), expected)
 
-        # b.2) PGroup.axis not from array.axes
+        # b.2) IGroup.axis not from array.axes
         assert_array_equal((arr[alt_a.i[0]:alt_a.i[1]]), expected)
 
         # c) list with LGroup
@@ -557,11 +557,11 @@ def test_getitem_structured_key_with_groups(self):
         # c.2) LGroup.axis not from array.axes
         assert_array_equal((arr[[alt_a['a1'], alt_a['a2']]]), expected)
 
-        # d) list with PGroup
-        # d.1) PGroup.axis from array.axes
+        # d) list with IGroup
+        # d.1) IGroup.axis from array.axes
         assert_array_equal((arr[[a.i[1], a.i[2]]]), expected)
 
-        # d.2) PGroup.axis not from array.axes
+        # d.2) IGroup.axis not from array.axes
         assert_array_equal((arr[[alt_a.i[0], alt_a.i[1]]]), expected)
 
     def test_getitem_single_larray_key_guess(self):
@@ -1957,7 +1957,7 @@ def test_agg_by(self):
         self.assertEqual(res2.shape, (4,))
         assert_array_equal(res2, res.sum(sex, geo=(vla, wal, bru, belgium)))
 
-    def test_agg_pgroup(self):
+    def test_agg_igroup(self):
         arr = ndtest(3)
         res = arr.sum((X.a.i[:2], X.a.i[1:]))
         assert_array_equal(res.a.labels, [':a1', 'a1:'])
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index d4f3f05fd..9f8da9162 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -6,7 +6,7 @@
 import numpy as np
 
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
-from larray import Axis, AxisCollection, LGroup, PGroup
+from larray import Axis, AxisCollection, LGroup, IGroup
 
 
 class TestAxis(TestCase):
@@ -173,7 +173,7 @@ def test_getitem_group_keys(self):
         self.assertEqual(g.key, ['a1', 'a2'])
         self.assertIs(g.axis, alt_a)
 
-        # b) key is a single PGroup
+        # b) key is a single IGroup
         # -------------------------
 
         # b.1) containing a scalar
@@ -232,7 +232,7 @@ def test_getitem_group_keys(self):
         self.assertEqual(g.key, slice('a1', 'a2'))
         self.assertIs(g.axis, alt_a)
 
-        # c.2) with PGroup bounds
+        # c.2) with IGroup bounds
         pg_a1 = a.i[1]
         pg_a2 = a.i[2]
         # use it on the same axis
@@ -262,7 +262,7 @@ def test_getitem_group_keys(self):
         self.assertEqual(g.key, ['a1', 'a2'])
         self.assertIs(g.axis, alt_a)
 
-        # d.2) with PGroup
+        # d.2) with IGroup
         key = [a.i[1], a.i[2]]
         # use it on the same axis
         g = a[key]
@@ -299,7 +299,7 @@ def test_getitem_group_keys(self):
         self.assertIs(g[0].axis, alt_a)
         self.assertIs(g[1].axis, alt_a)
 
-        # e.2) with PGroup
+        # e.2) with IGroup
         key = (a.i[1, 2], a.i[2, 1])
         # use it on the same axis => change to LGroup
         g = a[key]
@@ -336,7 +336,7 @@ def test_getitem_group_keys(self):
         self.assertEqual(g.key, ['a1', 'a2'])
         self.assertIs(g.axis, alt_a)
 
-        # f.2) with PGroup
+        # f.2) with IGroup
         key = (a.i[1], a.i[2])
         # use it on the same axis
         g = a[key]
@@ -373,7 +373,7 @@ def test_getitem_group_keys(self):
         self.assertIs(g[0].axis, alt_a)
         self.assertIs(g[1].axis, alt_a)
 
-        # g.2) with PGroup
+        # g.2) with IGroup
         key = (a.i[1, 2], a.i[2, 1])
         # use it on the same axis
         g = a[key]
@@ -408,7 +408,7 @@ def test_matching(self):
 
     def test_iter(self):
         sex = Axis('sex=M,F')
-        self.assertEqual(list(sex), [PGroup(0, axis=sex), PGroup(1, axis=sex)])
+        self.assertEqual(list(sex), [IGroup(0, axis=sex), IGroup(1, axis=sex)])
 
     def test_positional(self):
         age = Axis('age=0..115')
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index fd81bb13d..ce2c4987f 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -197,7 +197,7 @@ def test_sub(self):
         self.assertEqual(LSet([1, 2, 3]) - 2, LSet([1, 3]))
 
 
-class TestPGroup(TestCase):
+class TestIGroup(TestCase):
     def _assert_array_equal_is_true_array(self, a, b):
         res = a == b
         self.assertIsInstance(res, np.ndarray)

From a5df71830cd1eabc8d2430415dded59a69192c87 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 12 Apr 2017 11:49:43 +0200
Subject: [PATCH 781/899] * replaced sort_axis by sort_axes * replaced argmax,
 argmin, argsort by labelofmax, labelofmin, labelsofsorted * replaced
 posargmax, posargmin, posargsort by indexofmax, indexofmin, indicesofsorted

---
 doc/source/api.rst                      | 14 ++---
 doc/source/changes/version_0_26.rst.inc |  5 ++
 doc/source/tutorial.rst                 |  8 +--
 larray/core/array.py                    | 73 +++++++++++++++----------
 4 files changed, 59 insertions(+), 41 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 6bd70dfb4..4a7ce7315 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -351,10 +351,10 @@ Sorting
 .. autosummary::
    :toctree: _generated/
 
-   LArray.sort_axis
+   LArray.sort_axes
    LArray.sort_values
-   LArray.argsort
-   LArray.posargsort
+   LArray.labelsofsorted
+   LArray.indicesofsorted
 
 .. _la_reshaping:
 
@@ -393,10 +393,10 @@ Testing/Searching
    LArray.min_by
    LArray.max
    LArray.max_by
-   LArray.argmin
-   LArray.posargmin
-   LArray.argmax
-   LArray.posargmax
+   LArray.labelofmin
+   LArray.indexofmin
+   LArray.labelofmax
+   LArray.indexofmax
 
 .. _la_op:
 
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 9ddc2d99e..284ffa137 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -12,6 +12,11 @@
 
 * renamed `split_axis` to `split_axes` to reflect the fact that it can now split several axes at once (see below).
 
+* renamed several methods (closes :issue:`50`):
+
+    - `sort_axis` to `sort_axes`
+    - `argmax`, `argmin`, `argsort` to `labelofmax`, `labelofmin`, `labelsofsorted`
+    - `posargmax`, `posargmin`, `posargsort` to `indexofmax`, `indexofmin`, `indicesofsorted`
 
 New features
 ------------
diff --git a/doc/source/tutorial.rst b/doc/source/tutorial.rst
index ebd14d789..f68774021 100644
--- a/doc/source/tutorial.rst
+++ b/doc/source/tutorial.rst
@@ -861,9 +861,9 @@ There are many other :ref:`aggregate functions built-in <la_agg>`:
 
 -  mean, min, max, median, percentile, var (variance), std (standard
    deviation)
--  argmin, argmax (label indirect minimum/maxium -- labels where the
+-  labelofmin, labelofmax (label indirect minimum/maxium -- labels where the
    value is minimum/maximum)
--  posargmin, posargmax (positional indirect minimum/maxium -- position
+-  indexofmin, indexofmax (positional indirect minimum/maxium -- position
    along axis where the value is minimum/maximum)
 -  cumsum, cumprod (cumulative sum, cumulative product)
 
@@ -1150,14 +1150,14 @@ Sort an axis (alphabetically if labels are strings)
 
 .. ipython:: python
 
-    pop_sorted = pop.sort_axis(x.nat)
+    pop_sorted = pop.sort_axes(x.nat)
     pop_sorted
 
 Give labels which would sort the axis
 
 .. ipython:: python
 
-    pop_sorted.argsort(x.sex)
+    pop_sorted.labelsofsorted(x.sex)
 
 Sort according to values
 
diff --git a/larray/core/array.py b/larray/core/array.py
index cefc545f3..354215992 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1644,7 +1644,7 @@ def sort_values(self, key, reverse=False):
             raise NotImplementedError("sort_values key must have one dimension less than array.ndim")
         assert subset.ndim == 1
         axis = subset.axes[0]
-        posargsort = subset.posargsort()
+        indexofsorted = subset.indicesofsorted()
 
         # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
         # IGroup(nat  EU  FO  BE
@@ -1655,12 +1655,11 @@ def sort_values(self, key, reverse=False):
         # change this. Probably in IGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
         # that I have now?
         # FWIW, using .data, I get IGroup([1, 2, 0], axis='nat'), which works.
-        sorter = axis.i[posargsort.data]
+        sorter = axis.i[indexofsorted.data]
         res = self[sorter]
         return res[axis[::-1]] if reverse else res
 
-    # XXX: rename to sort_axes?
-    def sort_axis(self, axes=None, reverse=False):
+    def sort_axes(self, axes=None, reverse=False):
         """Sorts axes of the array.
 
         Parameters
@@ -1685,22 +1684,22 @@ def sort_axis(self, axes=None, reverse=False):
              EU  0  1
              FO  2  3
              BE  4  5
-        >>> a.sort_axis(X.sex)
+        >>> a.sort_axes(X.sex)
         nat\\sex  F  M
              EU  1  0
              FO  3  2
              BE  5  4
-        >>> a.sort_axis()
+        >>> a.sort_axes()
         nat\\sex  F  M
              BE  5  4
              EU  1  0
              FO  3  2
-        >>> a.sort_axis((X.sex, X.nat))
+        >>> a.sort_axes((X.sex, X.nat))
         nat\\sex  F  M
              BE  5  4
              EU  1  0
              FO  3  2
-        >>> a.sort_axis(reverse=True)
+        >>> a.sort_axes(reverse=True)
         nat\\sex  M  F
              FO  2  3
              EU  0  1
@@ -1722,6 +1721,8 @@ def sort_key(axis):
 
         return self[tuple(sort_key(axis) for axis in axes)]
 
+    sort_axis = renamed_to(sort_axes, 'sort_axis')
+
     def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         """
         Translates axis(es) key into axis(es) position(s).
@@ -2901,17 +2902,17 @@ def with_total(self, *args, **kwargs):
         return res
 
     # TODO: make sure we can do
-    # arr[x.sex.i[arr.posargmin(x.sex)]] <- fails
+    # arr[x.sex.i[arr.indexofmin(x.sex)]] <- fails
     # and
-    # arr[arr.argmin(x.sex)] <- fails
+    # arr[arr.labelofmin(x.sex)] <- fails
     # should both be equal to arr.min(x.sex)
     # the versions where axis is None already work as expected in the simple
     # case (no ambiguous labels):
-    # arr.i[arr.posargmin()]
-    # arr[arr.argmin()]
+    # arr.i[arr.indexofmin()]
+    # arr[arr.labelofmin()]
     # for the case where axis is None, we should return an NDGroup
-    # so that arr[arr.argmin()] works even if the minimum is on ambiguous labels
-    def argmin(self, axis=None):
+    # so that arr[arr.labelofmin()] works even if the minimum is on ambiguous labels
+    def labelofmin(self, axis=None):
         """Returns labels of the minimum values along a given axis.
 
         Parameters
@@ -2938,10 +2939,10 @@ def argmin(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argmin(X.sex)
+        >>> arr.labelofmin(X.sex)
         nat  BE  FR  IT
               M   F   M
-        >>> arr.argmin()
+        >>> arr.labelofmin()
         ('BE', 'M')
         """
         if axis is not None:
@@ -2952,7 +2953,9 @@ def argmin(self, axis=None):
             indices = np.unravel_index(self.data.argmin(), self.shape)
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
-    def posargmin(self, axis=None):
+    argmin = renamed_to(labelofmin, 'argmin')
+
+    def indexofmin(self, axis=None):
         """Returns indices of the minimum values along a given axis.
 
         Parameters
@@ -2979,10 +2982,10 @@ def posargmin(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.posargmin(X.sex)
+        >>> arr.indexofmin(X.sex)
         nat  BE  FR  IT
               0   1   0
-        >>> arr.posargmin()
+        >>> arr.indexofmin()
         (0, 0)
         """
         if axis is not None:
@@ -2991,7 +2994,9 @@ def posargmin(self, axis=None):
         else:
             return np.unravel_index(self.data.argmin(), self.shape)
 
-    def argmax(self, axis=None):
+    posargmin = renamed_to(indexofmin, 'posargmin')
+
+    def labelofmax(self, axis=None):
         """Returns labels of the maximum values along a given axis.
 
         Parameters
@@ -3018,10 +3023,10 @@ def argmax(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argmax(X.sex)
+        >>> arr.labelofmax(X.sex)
         nat  BE  FR  IT
               F   M   F
-        >>> arr.argmax()
+        >>> arr.labelofmax()
         ('IT', 'F')
         """
         if axis is not None:
@@ -3032,7 +3037,9 @@ def argmax(self, axis=None):
             indices = np.unravel_index(self.data.argmax(), self.shape)
             return tuple(axis.labels[i] for i, axis in zip(indices, self.axes))
 
-    def posargmax(self, axis=None):
+    argmax = renamed_to(labelofmax, 'argmax')
+
+    def indexofmax(self, axis=None):
         """Returns indices of the maximum values along a given axis.
 
         Parameters
@@ -3059,10 +3066,10 @@ def posargmax(self, axis=None):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.posargmax(X.sex)
+        >>> arr.indexofmax(X.sex)
         nat  BE  FR  IT
               1   0   1
-        >>> arr.posargmax()
+        >>> arr.indexofmax()
         (2, 1)
         """
         if axis is not None:
@@ -3071,7 +3078,9 @@ def posargmax(self, axis=None):
         else:
             return np.unravel_index(self.data.argmax(), self.shape)
 
-    def argsort(self, axis=None, kind='quicksort'):
+    posargmax = renamed_to(indexofmax, 'posargmax')
+
+    def labelsofsorted(self, axis=None, kind='quicksort'):
         """Returns the labels that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3098,7 +3107,7 @@ def argsort(self, axis=None, kind='quicksort'):
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.argsort(X.sex)
+        >>> arr.labelsofsorted(X.sex)
         nat\\sex  0  1
              BE  M  F
              FR  F  M
@@ -3109,10 +3118,12 @@ def argsort(self, axis=None, kind='quicksort'):
                 raise ValueError("array has ndim > 1 and no axis specified for argsort")
             axis = self.axes[0]
         axis = self.axes[axis]
-        pos = self.posargsort(axis, kind=kind)
+        pos = self.indicesofsorted(axis, kind=kind)
         return LArray(axis.labels[pos.data], pos.axes)
 
-    def posargsort(self, axis=None, kind='quicksort'):
+    argsort = renamed_to(labelsofsorted, 'argsort')
+
+    def indicesofsorted(self, axis=None, kind='quicksort'):
         """Returns the indices that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3139,7 +3150,7 @@ def posargsort(self, axis=None, kind='quicksort'):
              BE  1  5
              FR  3  2
              IT  0  4
-        >>> arr.posargsort(X.nat)
+        >>> arr.indicesofsorted(X.nat)
         nat\\sex  M  F
               0  2  1
               1  0  2
@@ -3154,6 +3165,8 @@ def posargsort(self, axis=None, kind='quicksort'):
         new_axis = Axis(np.arange(len(axis)), axis.name)
         return LArray(data, self.axes.replace(axis, new_axis))
 
+    posargsort = renamed_to(indicesofsorted, 'posargsort')
+
     def copy(self):
         """Returns a copy of the array.
         """

From 20090caff1d2f89712f3a55d4982a7fc862c1d39 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 28 Sep 2017 13:25:55 +0200
Subject: [PATCH 782/899] updated changelog 0.26 (issue 50)

---
 doc/source/changes/version_0_26.rst.inc | 4 +++-
 larray/core/array.py                    | 4 ++--
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 284ffa137..17d567c7a 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -12,7 +12,9 @@
 
 * renamed `split_axis` to `split_axes` to reflect the fact that it can now split several axes at once (see below).
 
-* renamed several methods (closes :issue:`50`):
+* renamed PGroup as IGroup (I for Index).
+
+* renamed several methods with more explicit names (closes :issue:`50`):
 
     - `sort_axis` to `sort_axes`
     - `argmax`, `argmin`, `argsort` to `labelofmax`, `labelofmin`, `labelsofsorted`
diff --git a/larray/core/array.py b/larray/core/array.py
index 354215992..9ee890e56 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1644,7 +1644,7 @@ def sort_values(self, key, reverse=False):
             raise NotImplementedError("sort_values key must have one dimension less than array.ndim")
         assert subset.ndim == 1
         axis = subset.axes[0]
-        indexofsorted = subset.indicesofsorted()
+        indicesofsorted = subset.indicesofsorted()
 
         # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
         # IGroup(nat  EU  FO  BE
@@ -1655,7 +1655,7 @@ def sort_values(self, key, reverse=False):
         # change this. Probably in IGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
         # that I have now?
         # FWIW, using .data, I get IGroup([1, 2, 0], axis='nat'), which works.
-        sorter = axis.i[indexofsorted.data]
+        sorter = axis.i[indicesofsorted.data]
         res = self[sorter]
         return res[axis[::-1]] if reverse else res
 

From 386d582ac88470a42fed9a1f93515be5dcaffc9c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 9 Oct 2017 12:34:20 +0200
Subject: [PATCH 783/899] changed next_release.py to include "current" release
 changes in the changelog (backported from LIAM2 corresponding script)

---
 doc/source/changes.rst |  8 ++++++++
 next_release.py        | 40 +++++++++++++++++++++++++++++++++-------
 2 files changed, 41 insertions(+), 7 deletions(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index be1b6ab05..19bc7ebb1 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.26
+============
+
+In development.
+
+.. include:: ./changes/version_0_26.rst.inc
+
+
 Version 0.25.2
 ==============
 
diff --git a/next_release.py b/next_release.py
index 695c40fce..231437190 100644
--- a/next_release.py
+++ b/next_release.py
@@ -1,18 +1,44 @@
 #!/usr/bin/python
-# coding=utf-8
+# encoding: utf-8
 # script to start a new release cycle
 # Licence: GPLv3
 from os.path import join
-from make_release import relname2fname
+from make_release import relname2fname, short
+from shutil import copy
 
 
 def add_release(release_name):
-    # create "empty" change file for that release
     fname = relname2fname(release_name)
-    with open(r'doc\source\changes\template.rst.inc') as f:
-        changes_template = f.read()
-    with open(join(r'doc\source\changes', fname), 'w') as f:
-        f.write(changes_template)
+
+    # create "empty" changelog for that release
+    changes_dir = r'doc\source\changes'
+    copy(join(changes_dir, 'template.rst.inc'),
+         join(changes_dir, fname))
+
+    # include release changelog in changes.rst
+    fpath = r'doc\source\changes.rst'
+    changelog_index_template = """{title}
+{underline}
+
+In development.
+
+.. include:: {fpath}
+
+
+"""
+
+    with open(fpath) as f:
+        lines = f.readlines()
+        title = "Version %s" % short(release_name)
+        if lines[3] == title + '\n':
+            print("changes.rst not modified (it already contains %s)" % title)
+            return
+        this_version = changelog_index_template.format(title=title,
+                                                       underline="=" * len(title),
+                                                       fpath='./changes/' + fname)
+        lines[3:3] = this_version.splitlines(True)
+    with open(fpath, 'w') as f:
+        f.writelines(lines)
 
 
 if __name__ == '__main__':

From 6499c6fb2b2df40b35003af256937979f305393a Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 10 Oct 2017 16:08:50 +0200
Subject: [PATCH 784/899] fix #460 and fix #427 : implemented from_frame
 (fully) and from_series (partially) + made df_aslarray a private function to
 be called by IO functions + updated unit tests

---
 doc/source/api.rst                      |   1 +
 doc/source/changes/version_0_26.rst.inc |  47 ++++++
 larray/core/array.py                    |  63 ++++----
 larray/io/array.py                      | 204 +++++++++++++++++++-----
 larray/tests/test_array.py              | 171 +++++++++++---------
 5 files changed, 340 insertions(+), 146 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 4a7ce7315..a2ae7e276 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -500,6 +500,7 @@ Miscellaneous
    :toctree: _generated/
 
    aslarray
+   from_frame
    labels_array
    larray_equal
    larray_nan_equal
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 17d567c7a..3af6ffc09 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -63,6 +63,23 @@ New features
     a    a0    a1    a2
        True  True  True
 
+* implemented from_frame() to convert a Pandas DataFrame to an array:
+
+    >>> df = ndtest((2, 2, 2)).to_frame()
+    >>> df
+    c      c0  c1
+    a  b
+    a0 b0   0   1
+       b1   2   3
+    a1 b0   4   5
+       b1   6   7
+    >>> from_frame(df)
+     a  b\\c  c0  c1
+    a0   b0   0   1
+    a0   b1   2   3
+    a1   b0   4   5
+    a1   b1   6   7
+
 
 Miscellaneous improvements
 --------------------------
@@ -289,6 +306,15 @@ Miscellaneous improvements
      b [2]: 'b0' 'b1'
     dtype: float64
 
+* To create a 1D array using from_string() and the default separator ' ', a tabulation character `\t`
+  (instead of - previously) must be added in front of the data line:
+
+    >>> from_string('''sex  M  F
+    ...                \t   0  1''')
+    sex  M  F
+         0  1
+
+
 Fixes
 -----
 
@@ -311,6 +337,27 @@ Fixes
 
   Closes :issue:`372`.
 
+* fixed converting a 1xN Pandas DataFrame to an array using `aslarray` (closes :issue:`427`):
+
+    >>> df = pd.DataFrame([[1, 2, 3]], index=['a0'], columns=['b0', 'b1', 'b2'])
+    >>> df
+        b0  b1  b2
+    a0   1   2   3
+    >>> aslarray(df)
+    {0}\{1}  b0  b1  b2
+         a0   1   2   3
+
+    >>> # setting name to index and columns
+    >>> df.index.name = 'a'
+    >>> df.columns.name = 'b'
+    >>> df
+    b   b0  b1  b2
+    a
+    a0   1   2   3
+    >>> aslarray(df)
+    a\b  b0  b1  b2
+     a0   1   2   3
+
 * fixed original file being deleted when trying to overwrite a file via `Session.save` or `open_excel` failed
   (closes :issue:`441`)
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 9ee890e56..7babd342e 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -3,9 +3,9 @@
 
 __all__ = [
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like', 'full', 'full_like', 'sequence',
-    'create_sequential', 'ndrange', 'labels_array', 'ndtest', 'aslarray', 'identity', 'diag', 'eye', 'larray_equal',
-    'larray_nan_equal', 'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean', 'ptp', 'var', 'std',
-    'median', 'percentile', 'stack', 'nan', 'nan_equal'
+    'create_sequential', 'ndrange', 'labels_array', 'ndtest', 'aslarray', 'identity', 'diag', 'eye',
+    'larray_equal', 'larray_nan_equal', 'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean', 'ptp',
+    'var', 'std', 'median', 'percentile', 'stack', 'nan', 'nan_equal'
 ]
 
 """
@@ -40,7 +40,6 @@
 from itertools import product, chain, groupby, islice
 import os
 import sys
-import warnings
 import functools
 
 try:
@@ -690,7 +689,7 @@ class LArray(ABCLArray):
     """
     A LArray object represents a multidimensional, homogeneous array of fixed-size items with labeled axes.
 
-    The function :func:`aslarray` can be used to convert a NumPy array or PandaS DataFrame into a LArray.
+    The function :func:`aslarray` can be used to convert a NumPy array or Pandas DataFrame into a LArray.
 
     Parameters
     ----------
@@ -1012,9 +1011,9 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
 
         Parameters
         ----------
-        fold_last_axis_name : bool, optional.
-            False by default.
-        dropna : {'any', 'all', None}, optional.
+        fold_last_axis_name : bool, optional
+            Defaults to False.
+        dropna : {'any', 'all', None}, optional
             * any : if any NA values are present, drop that label
             * all : if all values are NA, drop that label
             * None by default.
@@ -1025,31 +1024,27 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
 
         Examples
         --------
-        >>> arr = ndtest((3, 3, 3))
+        >>> arr = ndtest((2, 2, 2))
+        >>> arr
+         a  b\\c  c0  c1
+        a0   b0   0   1
+        a0   b1   2   3
+        a1   b0   4   5
+        a1   b1   6   7
         >>> arr.to_frame() # doctest: +NORMALIZE_WHITESPACE
-        c      c0  c1  c2
-        a  b
-        a0 b0   0   1   2
-           b1   3   4   5
-           b2   6   7   8
-        a1 b0   9  10  11
-           b1  12  13  14
-           b2  15  16  17
-        a2 b0  18  19  20
-           b1  21  22  23
-           b2  24  25  26
-        >>> arr.to_frame(True) # doctest: +NORMALIZE_WHITESPACE
-                c0  c1  c2
-        a  b\\c
-        a0 b0    0   1   2
-           b1    3   4   5
-           b2    6   7   8
-        a1 b0    9  10  11
-           b1   12  13  14
-           b2   15  16  17
-        a2 b0   18  19  20
-           b1   21  22  23
-           b2   24  25  26
+        c      c0  c1
+        a  b         
+        a0 b0   0   1
+           b1   2   3
+        a1 b0   4   5
+           b1   6   7
+        >>> arr.to_frame(fold_last_axis_name=True) # doctest: +NORMALIZE_WHITESPACE
+                c0  c1
+        a  b\\c        
+        a0 b0    0   1
+           b1    2   3
+        a1 b0    4   5
+           b1    6   7
         """
         columns = pd.Index(self.axes[-1].labels)
         if not fold_last_axis_name:
@@ -6566,8 +6561,8 @@ def aslarray(a):
     elif hasattr(a, '__larray__'):
         return a.__larray__()
     elif isinstance(a, pd.DataFrame):
-        from larray.io.array import df_aslarray
-        return df_aslarray(a)
+        from larray.io.array import from_frame
+        return from_frame(a)
     else:
         return LArray(a)
 
diff --git a/larray/io/array.py b/larray/io/array.py
index 07cfb77f1..cb6b622b2 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -3,19 +3,22 @@
 import csv
 import numpy as np
 import pandas as pd
-from itertools import product
 import warnings
+from itertools import product
 
 from larray.core.axis import Axis
-from larray.core.array import LArray
+from larray.core.array import LArray, ndtest
 from larray.core.group import _translate_sheet_name, _translate_key_hdf
-from larray.util.misc import basestring, unique, decode, skip_comment_cells, strip_rows, csv_open, StringIO
+from larray.util.misc import basestring, skip_comment_cells, strip_rows, csv_open, StringIO, decode, unique
 
 try:
     import xlwings as xw
 except ImportError:
     xw = None
 
+__all__ = ['from_frame', 'read_csv', 'read_tsv', 'read_eurostat', 'read_hdf', 'read_excel', 'read_sas',
+           'from_lists', 'from_string']
+
 
 def parse(s):
     """
@@ -70,58 +73,180 @@ def cartesian_product_df(df, sort_rows=False, sort_columns=False, **kwargs):
     return df.reindex(new_index, columns, **kwargs), labels
 
 
+def from_series(s, sort_rows=False):
+    """
+    Converts Pandas Series into 1D LArray.
+
+    Parameters
+    ----------
+    s : Pandas Series
+        Input Pandas Series.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). 
+        Defaults to False.
+
+    Returns
+    -------
+    LArray
+    """
+    name = s.name if s.name is not None else s.index.name
+    if name is not None:
+        name = str(name)
+    labels = sorted(s.index.values) if sort_rows else list(s.index.values)
+    axis = Axis(labels, name)
+    return LArray(s.values, axis)
+
+
+def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfold_last_axis_name=False, **kwargs):
+    """
+    Converts Pandas DataFrame into LArray.
+
+    Parameters
+    ----------
+    df : Pandas DataFrame
+        Input dataframe. By default, name and labels of the last axis are defined by the name and labels of the 
+        columns Index of the dataframe unless argument unfold_last_axis_name is set to True.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
+    parse_header : bool, optional
+        Whether or not to parse columns labels. Pandas treats column labels as strings. 
+        If True, column labels are converted into int, float or boolean whenever it is possible. 
+        Defaults to True. 
+    unfold_last_axis_name : bool, optional
+        Whether or not to extract name of the last axis from last column of index of the dataframe. 
+        If True, extract the names of the two last axes by spliting the name of the last column of index 
+         of the dataframe using '\'. Defaults to False.
+
+    Returns
+    -------
+    LArray
+
+    See Also
+    --------
+    LArray.to_frame
+
+    Examples
+    --------
+    >>> df = ndtest((2, 2, 2)).to_frame()
+    >>> df
+    c      c0  c1
+    a  b         
+    a0 b0   0   1
+       b1   2   3
+    a1 b0   4   5
+       b1   6   7
+    >>> from_frame(df)
+     a  b\\c  c0  c1
+    a0   b0   0   1
+    a0   b1   2   3
+    a1   b0   4   5
+    a1   b1   6   7
+
+    Names of the two last axes written as 'before_last_axis_name\last_axis_name' 
+
+    >>> df = ndtest((2, 2, 2)).to_frame(fold_last_axis_name=True)
+    >>> df
+            c0  c1
+    a  b\\c        
+    a0 b0    0   1
+       b1    2   3
+    a1 b0    4   5
+       b1    6   7
+    >>> from_frame(df, unfold_last_axis_name=True)
+     a  b\\c  c0  c1
+    a0   b0   0   1
+    a0   b1   2   3
+    a1   b0   4   5
+    a1   b1   6   7
+    """
+    axes_names = [decode(name, 'utf8') for name in df.index.names]
+
+    # handle 2 or more dimensions with the last axis name given using \
+    if unfold_last_axis_name:
+        if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
+            last_axes = [name.strip() for name in axes_names[-1].split('\\')]
+            axes_names = axes_names[:-1] + last_axes
+        else:
+            axes_names += [None]
+    else:
+        axes_names += [df.columns.name]
+
+    df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
+
+    # Pandas treats column labels as column names (strings) so we need to convert them to values
+    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
+    axes_labels.append(last_axis_labels)
+    axes_names = [str(name) if name is not None else name
+                  for name in axes_names]
+
+    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
+    data = df.values.reshape([len(axis) for axis in axes])
+    return LArray(data, axes)
+
+
 def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
-    # the dataframe was read without index at all (ie 2D dataframe), irrespective of the actual data dimensionality
+    """
+    Prepare Pandas DataFrame and then convert it into LArray.
+    
+    Parameters
+    ----------
+    df : Pandas DataFrame
+        Input dataframe.
+    sort_rows : bool, optional
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
+    sort_columns : bool, optional
+        Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
+        Defaults to False.
+    raw : bool, optional
+        Whether or not to consider the input dataframe as a raw dataframe, i.e. read without index at all. 
+        If True, build the first N-1 axes of the output array from the first N-1 dataframe columns. 
+        Defaults to False.
+    parse_header : bool, optional
+        Whether or not to parse columns labels. Pandas treats column labels as strings. 
+        If True, column labels are converted into int, float or boolean whenever it is possible. 
+        Defaults to True. 
+
+    Returns
+    -------
+    LArray
+    """
+    # we could inline df_aslarray into the functions that use it, so that the
+    # original (non-cartesian) df is freed from memory at this point, but it
+    # would be much uglier and would not lower the peak memory usage which
+    # happens during cartesian_product_df.reindex
+
+    # raw = True: the dataframe was read without index at all (ie 2D dataframe),
+    # irrespective of the actual data dimensionality
     if raw:
         columns = df.columns.values.tolist()
         try:
             # take the first column which contains '\'
-            # pos_last = next(i for i, v in enumerate(columns) if '\\' in str(v))
             pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
         except StopIteration:
             # we assume first column will not contain data
             pos_last = 0
 
-        axes_names = columns[:pos_last + 1]
         # This is required to handle int column names (otherwise we can simply use column positions in set_index).
         # This is NOT the same as df.columns[list(range(...))] !
         index_columns = [df.columns[i] for i in range(pos_last + 1)]
         # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
         # df.set_index(index_columns, inplace=True)
         df = df.set_index(index_columns)
-    else:
-        axes_names = [decode(name, 'utf8') for name in df.index.names]
 
-    # handle 2 or more dimensions with the last axis name given using \
-    if isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]:
-        last_axes = [name.strip() for name in axes_names[-1].split('\\')]
-        axes_names = axes_names[:-1] + last_axes
     # handle 1D
-    elif len(df) == 1 and axes_names == [None]:
-        axes_names = [df.columns.name]
-    # handle 2 or more dimensions with the last axis name given as the columns index name
-    elif len(df) > 1:
-        axes_names += [df.columns.name]
-
-    if len(axes_names) > 1:
-        df, axes_labels = cartesian_product_df(df, sort_rows=sort_rows, sort_columns=sort_columns, **kwargs)
+    if len(df) == 1 and (pd.isnull(df.index.values[0]) or
+                             (isinstance(df.index.values[0], basestring) and df.index.values[0].strip() == '')):
+        series = df.iloc[0]
+        series.name = df.index.name
+        return from_series(series, sort_rows=sort_rows)
     else:
-        axes_labels = []
-
-    # we could inline df_aslarray into the functions that use it, so that the
-    # original (non-cartesian) df is freed from memory at this point, but it
-    # would be much uglier and would not lower the peak memory usage which
-    # happens during cartesian_product_df.reindex
-
-    # Pandas treats column labels as column names (strings) so we need to convert them to values
-    last_axis_labels = [parse(cell) for cell in df.columns.values] if parse_header else list(df.columns.values)
-    axes_labels.append(last_axis_labels)
-    axes_names = [str(name) if name is not None else name
-                  for name in axes_names]
-
-    axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
-    data = df.values.reshape([len(axis) for axis in axes])
-    return LArray(data, axes)
+        axes_names = [decode(name, 'utf8') for name in df.index.names]
+        unfold_last_axis_name = isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]
+        return from_frame(df, sort_rows=sort_rows, sort_columns=sort_columns, parse_header=parse_header,
+                          unfold_last_axis_name=unfold_last_axis_name, **kwargs)
 
 
 def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, fill_value=np.nan,
@@ -225,6 +350,8 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
 
     df = pd.read_csv(filepath_or_buffer, index_col=index_col, sep=sep, **kwargs)
     if dialect == 'liam2':
+        if len(df) == 1:
+            df.set_index([[np.nan]], inplace=True)
         if len(axes_names) > 1:
             df.index.names = axes_names[:-1]
         df.columns.name = axes_names[-1]
@@ -484,8 +611,9 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
 
     Examples
     --------
-    >>> # if one dimension array and default separator ' ', a - must be added in front of the data line
-    >>> from_string("sex  M  F\\n-  0  1")
+    >>> # to create a 1D array using the default separator ' ', a tabulation character \t must be added in front 
+    >>> # of the data line
+    >>> from_string("sex  M  F\\n\\t  0  1")
     sex  M  F
          0  1
     >>> from_string("nat\\sex  M  F\\nBE  0  1\\nFO  2  3")
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 48dc1b714..d8ae86b68 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -16,7 +16,7 @@
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
-                    from_lists, from_string, open_excel, df_aslarray, sequence)
+                    from_lists, from_string, open_excel, from_frame, sequence)
 from larray.core.axis import _to_ticks, _to_key
 
 
@@ -1630,8 +1630,8 @@ def test_group_agg_on_bool_array(self):
         # issue 194
         a = ndtest((2, 3))
         b = a > 1
-        expected = from_string("""a  a0  a1
-                                  -   1   2""")
+        expected = from_string("""a,a0,a1
+                                   , 1, 2""", sep=',')
         assert_array_equal(b.sum('b1:'), expected)
 
     # TODO: fix this (and add other tests for references (x.) to anonymous axes
@@ -2436,6 +2436,21 @@ def test_hdf_roundtrip(self):
         s = Session(fpath)
         assert s.names == sorted(['a0', 'a1', 'a2', 'a3', 'c0,c2', 'c0::2', 'even', ':name?with*special__[characters]'])
 
+    def test_from_string(self):
+        expected = ndrange("sex=M,F")
+
+        res = from_string('''sex  M  F
+                             \t   0  1''')
+        assert_array_equal(res, expected)
+
+        res = from_string('''sex  M  F
+                             nan  0  1''')
+        assert_array_equal(res, expected)
+
+        res = from_string('''sex  M  F
+                             NaN  0  1''')
+        assert_array_equal(res, expected)
+
     def test_read_csv(self):
         la = read_csv(abspath('test1d.csv'))
         self.assertEqual(la.ndim, 1)
@@ -2656,11 +2671,11 @@ def test_from_lists(self):
                                  ['F', 'FO', 0, 0, 2]], sort_columns=True)
         assert_array_equal(sorted_arr, arr)
 
-    def test_df_aslarray(self):
+    def test_from_frame(self):
         # 1) data = scalar
         # ================
         # Dataframe becomes 1D LArray
-        data = [10]
+        data = np.array([10])
         index = ['i0']
         columns = ['c0']
         axis_index, axis_columns = Axis(index), Axis(columns)
@@ -2678,14 +2693,15 @@ def test_df_aslarray(self):
         # i0  10
         # output LArray:
         # --------------
-        # {0}  c0
-        #      10
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (1,)
-        assert la.axes.names == [None]
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns)
+        # {0}\{1}  c0
+        #      i0  10
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, 1)
+        assert la.axes.names == [None, None]
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, 1)), [axis_index, axis_columns])
         assert_array_equal(la, expected_la)
 
         # anonymous columns
@@ -2696,15 +2712,16 @@ def test_df_aslarray(self):
         # i0     10
         # output LArray:
         # --------------
-        # index  c0
-        #        10
+        # index\{1}  c0
+        #        i0  10
         df.index.name, df.columns.name = 'index', None
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (1,)
-        assert la.axes.names == ['index']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('index'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, 1)
+        assert la.axes.names == ['index', None]
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, 1)), [axis_index.rename('index'), axis_columns])
         assert_array_equal(la, expected_la)
 
         # anonymous index
@@ -2714,15 +2731,16 @@ def test_df_aslarray(self):
         # i0       10
         # output LArray:
         # --------------
-        # columns  c0
-        #          10
+        # {0}\columns  c0
+        #          i0  10
         df.index.name, df.columns.name = None, 'columns'
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (1,)
-        assert la.axes.names == ['columns']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('columns'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, 1)
+        assert la.axes.names == [None, 'columns']
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, 1)), [axis_index, axis_columns.rename('columns')])
         assert_array_equal(la, expected_la)
 
         # index and columns with name
@@ -2733,15 +2751,16 @@ def test_df_aslarray(self):
         # i0       10
         # output LArray:
         # --------------
-        # index  c0
-        #        10
+        # index\columns  c0
+        #            i0  10
         df.index.name, df.columns.name = 'index', 'columns'
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (1,)
-        assert la.axes.names == ['index']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('index'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, 1)
+        assert la.axes.names == ['index', 'columns']
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, 1)), [axis_index.rename('index'), axis_columns.rename('columns')])
         assert_array_equal(la, expected_la)
 
         # 2) data = vector
@@ -2769,14 +2788,15 @@ def test_df_aslarray(self):
         # i0   0   1   2
         # output LArray:
         # --------------
-        # {0}  c0  c1  c2
-        #       0   1   2
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (size,)
-        assert la.axes.names == [None]
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns)
+        # {0}\{1}  c0  c1  c2
+        #      i0   0   1   2
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, size)
+        assert la.axes.names == [None, None]
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, size)),[axis_index, axis_columns])
         assert_array_equal(la, expected_la)
 
         # anonymous columns
@@ -2787,15 +2807,16 @@ def test_df_aslarray(self):
         # i0      0   1   2
         # output LArray:
         # --------------
-        # index  c0  c1  c2
-        #         0   1   2
+        # index\{1}  c0  c1  c2
+        #        i0   0   1   2
         df.index.name, df.columns.name = 'index', None
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (size,)
-        assert la.axes.names == ['index']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('index'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, size)
+        assert la.axes.names == ['index', None]
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, size)),[axis_index.rename('index'), axis_columns])
         assert_array_equal(la, expected_la)
 
         # anonymous index
@@ -2805,15 +2826,16 @@ def test_df_aslarray(self):
         # i0        0   1   2
         # output LArray:
         # --------------
-        # columns  c0  c1  c2
-        #           0   1   2
+        # {0}\columns  c0  c1  c2
+        #          i0   0   1   2
         df.index.name, df.columns.name = None, 'columns'
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (size,)
-        assert la.axes.names == ['columns']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('columns'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, size)
+        assert la.axes.names == [None, 'columns']
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, size)),[axis_index, axis_columns.rename('columns')])
         assert_array_equal(la, expected_la)
 
         # index and columns with name
@@ -2824,15 +2846,16 @@ def test_df_aslarray(self):
         # i0        0   1   2
         # output LArray:
         # --------------
-        # index  c0  c1  c2
-        #         0   1   2
+        # index\columns  c0  c1  c2
+        #            i0   0   1   2
         df.index.name, df.columns.name = 'index', 'columns'
-        la = df_aslarray(df)
-        assert la.ndim == 1
-        assert la.shape == (size,)
-        assert la.axes.names == ['index']
-        assert list(la.axes.labels[0]) == columns
-        expected_la = LArray(data, axis_columns.rename('index'))
+        la = from_frame(df)
+        assert la.ndim == 2
+        assert la.shape == (1, size)
+        assert la.axes.names == ['index', 'columns']
+        assert list(la.axes.labels[0]) == index
+        assert list(la.axes.labels[1]) == columns
+        expected_la = LArray(data.reshape((1, size)),[axis_index.rename('index'), axis_columns.rename('columns')])
         assert_array_equal(la, expected_la)
 
         # 2B) data = vertical vector (N x 1)
@@ -2862,7 +2885,7 @@ def test_df_aslarray(self):
         #      i0   0
         #      i1   1
         #      i2   2
-        la = df_aslarray(df)
+        la = from_frame(df)
         assert la.ndim == 2
         assert la.shape == (size, 1)
         assert la.axes.names == [None, None]
@@ -2886,7 +2909,7 @@ def test_df_aslarray(self):
         #        i1   1
         #        i2   2
         df.index.name, df.columns.name = 'index', None
-        la = df_aslarray(df)
+        la = from_frame(df)
         assert la.ndim == 2
         assert la.shape == (size, 1)
         assert la.axes.names == ['index', None]
@@ -2909,7 +2932,7 @@ def test_df_aslarray(self):
         #          i1   1
         #          i2   2
         df.index.name, df.columns.name = None, 'columns'
-        la = df_aslarray(df)
+        la = from_frame(df)
         assert la.ndim == 2
         assert la.shape == (size, 1)
         assert la.axes.names == [None, 'columns']
@@ -2962,7 +2985,7 @@ def test_df_aslarray(self):
         df.set_index(['age', 'sex'], inplace=True)
         df.columns.name = 'time'
 
-        la = df_aslarray(df)
+        la = from_frame(df)
         assert la.ndim == 3
         assert la.shape == (4, 2, 3)
         assert la.axes.names == ['age', 'sex', 'time']
@@ -2985,7 +3008,7 @@ def test_df_aslarray(self):
         df = pd.DataFrame(data)
         df.set_index(['age', 'sex\\time'], inplace=True)
 
-        la = df_aslarray(df)
+        la = from_frame(df, unfold_last_axis_name=True)
         assert la.ndim == 3
         assert la.shape == (4, 2, 3)
         assert la.axes.names == ['age', 'sex', 'time']

From af3bcbddf2701422d6d1586b977e5ed815506704 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Wed, 11 Oct 2017 11:53:36 +0200
Subject: [PATCH 785/899] updated changelog 0.26 --> issues 18, 21, 43, 66, 71,
 75, 84 and 85 of larray-editor

---
 doc/source/changes/version_0_26.rst.inc | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 3af6ffc09..1baae5eb8 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -31,6 +31,8 @@ New features
   local_arrays() will return only arrays local to the function, global_arrays() will return only arrays defined
   globally and arrays() will return arrays defined either locally or globally. Closes :issue:`416`.
 
+* a `*` symbol is appended to the window title when unsaved changes are detected in the viewer (closes :editor_issue:`21`).
+
 * implemented Axis.containing to create a Group with all labels of an axis containing some substring (closes
   :issue:`402`).
 
@@ -86,6 +88,8 @@ Miscellaneous improvements
 
 * view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
+* inverted background colors in the viewer (red for low values and blue for high values). Closes :editor_issue:`18`.
+
 * allowed to pass an array of labels as `new_axis` argument to `reindex` method (closes :issue:`384`):
 
     >>> arr = ndrange('a=v0..v1;b=v0..v2')
@@ -314,6 +318,8 @@ Miscellaneous improvements
     sex  M  F
          0  1
 
+* title in the viewer also includes the dtype of the current displayed array (closes :editor_issue:`85`)
+
 
 Fixes
 -----
@@ -368,3 +374,13 @@ Fixes
   the array. Now the result will be nan for that array but the operation will carry on for other arrays.
 
 * fixed stacking arrays with anonymous axes.
+
+* fixed background color in the viewer when using filters in the `compare()` dialog (closes :editor_issue:`66`)
+
+* fixed autoresize of columns by double clicking between column headers (closes :editor_issue:`43`)
+
+* fixed representing a 0D array (scalar) in the viewer (closes :editor_issue:`71`)
+
+* fixed viewer not displaying an error message when saving or loading a file failed (closes :editor_issue:`75`)
+
+* fixed viewer showing array with empty axes names and labels when starting a new session (closes :editor_issue:`84`)

From c31d8e226a8e296ccab4ccf27e5e73aac27e20be Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 12 Oct 2017 09:55:45 +0200
Subject: [PATCH 786/899] fix #376 : make split/combine_axes and boolean
 selection use all underscore as separetor

---
 doc/source/changes/version_0_26.rst.inc | 17 +++++++++++++++++
 larray/core/array.py                    | 16 ++++++++--------
 larray/tests/test_array.py              |  4 ++--
 larray/tests/test_ipfp.py               |  2 +-
 4 files changed, 28 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 1baae5eb8..100e19850 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -20,6 +20,23 @@
     - `argmax`, `argmin`, `argsort` to `labelofmax`, `labelofmin`, `labelsofsorted`
     - `posargmax`, `posargmin`, `posargsort` to `indexofmax`, `indexofmin`, `indicesofsorted`
 
+
+Backward incompatible changes
+-----------------------------
+
+* getting a subset using a boolean selection returns an array with labels combined with underscore by defaults
+  (for consistency with `split_axes` and `combine_axes`). Closes :issue:`376`:
+
+    >>> arr = ndtest((2, 2))
+    >>> arr
+    a\b  b0  b1
+     a0   0   1
+     a1   2   3
+    >>> arr[arr < 3]
+    a_b  a0_b0  a0_b1  a1_b0
+             0      1      2
+
+
 New features
 ------------
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 7babd342e..26929cdac 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -960,7 +960,7 @@ def points(self):
         [a0, b0, c0] and [a1, b2, c2], you must do:
 
         >>> arr.points['a0,a1', 'b0,b2', 'c0,c2']
-        a,b,c  a0,b0,c0  a1,b2,c2
+        a_b_c  a0_b0_c0  a1_b2_c2
                       0        22
 
         The number of label(s) on each dimension must be equal:
@@ -993,7 +993,7 @@ def ipoints(self):
         [0, 0, 0] and [1, 2, 2], you must do:
 
         >>> arr.ipoints[[0,1], [0,2], [0,2]]
-        a,b,c  a0,b0,c0  a1,b2,c2
+        a_b_c  a0_b0_c0  a1_b2_c2
                       0        22
 
         The number of index(es) on each dimension must be equal:
@@ -2169,7 +2169,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         if all(axis.name is None for axis in combined_axes):
             combined_name = None
         else:
-            combined_name = ','.join(str(self.axes.axis_id(axis)) for axis in combined_axes)
+            combined_name = '_'.join(str(self.axes.axis_id(axis)) for axis in combined_axes)
         new_axes = other_axes
         if combined_axis_pos is not None:
             if wildcard_allowed:
@@ -2193,7 +2193,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                     #    wildcard axis (and axes_labels discarded?)
                     combined_labels = axes_labels[0]
                 else:
-                    combined_labels = list(zip(*axes_labels))
+                    combined_labels = ['_'.join([str(l) for l in labels]) for labels in zip(*axes_labels)]
 
                 # CRAP, this can lead to duplicate labels (especially using .points)
                 combined_axis = Axis(combined_labels, combined_name)
@@ -7261,7 +7261,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
          FO  3  4
     >>> d = diag(a)
     >>> d
-    nat,sex  BE,M  FO,F
+    nat_sex  BE_M  FO_F
                 1     4
     >>> diag(d)
     nat\\sex  M  F
@@ -7281,9 +7281,9 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
         axis_name = axis.name
         if k != 0:
             raise NotImplementedError("k != 0 not supported for 1D arrays")
-        if split and isinstance(axis_name, str) and ',' in axis_name:
-            axes_names = axis_name.split(',')
-            axes_labels = list(zip(*np.char.split(axis.labels, ',')))
+        if split and isinstance(axis_name, str) and '_' in axis_name:
+            axes_names = axis_name.split('_')
+            axes_labels = list(zip(*np.char.split(axis.labels, '_')))
             axes = [Axis(labels, name) for labels, name in zip(axes_labels, axes_names)]
         else:
             axes = [axis] + [axis.copy() for _ in range(ndim - 1)]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index d8ae86b68..e3e0c76ef 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3569,8 +3569,8 @@ def test_diag(self):
         a = eye(sex)
         d = diag(a)
         self.assertEqual(d.ndim, 1)
-        self.assertEqual(d.axes.names, ['sex,sex'])
-        assert_array_equal(d.axes.labels, [['M,M', 'F,F']])
+        self.assertEqual(d.axes.names, ['sex_sex'])
+        assert_array_equal(d.axes.labels, [['M_M', 'F_F']])
         self.assertEqual(d.i[0], 1.0)
         self.assertEqual(d.i[1], 1.0)
 
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index 0711c5f39..7822007c0 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -62,7 +62,7 @@ def test_ipfp(self):
 
         # negative initial values
         initial = LArray([[2, -1], [1, 2]], [a, b])
-        with self.assertRaisesRegexp(ValueError, "negative value\(s\) found:\na0,b1: -1"):
+        with self.assertRaisesRegexp(ValueError, "negative value\(s\) found:\na0_b1: -1"):
             ipfp([along_a, along_b], initial)
 
     # def test_ipfp_big(self):

From b47682e3796542283633c31090211f39e08cd2db Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:29:58 +0200
Subject: [PATCH 787/899] * various fixes to changelog and docstrings to make
 the doc build correctly * minor wording changes in from_frame docstring *
 strip trailing whitespaces

---
 doc/source/changes/version_0_26.rst.inc | 12 +++----
 larray/core/array.py                    |  8 ++---
 larray/io/array.py                      | 47 +++++++++++--------------
 3 files changed, 31 insertions(+), 36 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 100e19850..45f59a5e9 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -327,8 +327,8 @@ Miscellaneous improvements
      b [2]: 'b0' 'b1'
     dtype: float64
 
-* To create a 1D array using from_string() and the default separator ' ', a tabulation character `\t`
-  (instead of - previously) must be added in front of the data line:
+* To create a 1D array using from_string() and the default separator " ", a tabulation character ``\t``
+  (instead of ``-`` previously) must be added in front of the data line:
 
     >>> from_string('''sex  M  F
     ...                \t   0  1''')
@@ -343,12 +343,12 @@ Fixes
 
 * fixed array creation with axis(es) given as string containing only one label (axis name and label were inverted).
 
-* fixed reading an array from a CSV or Excel file when the columns axis is not explicitly named (via `\`).
+* fixed reading an array from a CSV or Excel file when the columns axis is not explicitly named (via ``\``).
   For example, let's say we want to read a CSV file 'pop.csv' with the following content (indented for clarity) ::
 
-  sex, 2015, 2016
-    F,   11,   13
-    M,   12,   10
+    sex, 2015, 2016
+      F,   11,   13
+      M,   12,   10
 
   The result of function `read_csv` is:
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 26929cdac..b0f3462e7 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1031,16 +1031,16 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
         a0   b1   2   3
         a1   b0   4   5
         a1   b1   6   7
-        >>> arr.to_frame() # doctest: +NORMALIZE_WHITESPACE
+        >>> arr.to_frame()                                                             # doctest: +NORMALIZE_WHITESPACE
         c      c0  c1
-        a  b         
+        a  b
         a0 b0   0   1
            b1   2   3
         a1 b0   4   5
            b1   6   7
-        >>> arr.to_frame(fold_last_axis_name=True) # doctest: +NORMALIZE_WHITESPACE
+        >>> arr.to_frame(fold_last_axis_name=True)                                     # doctest: +NORMALIZE_WHITESPACE
                 c0  c1
-        a  b\\c        
+        a  b\\c
         a0 b0    0   1
            b1    2   3
         a1 b0    4   5
diff --git a/larray/io/array.py b/larray/io/array.py
index cb6b622b2..3326597e5 100644
--- a/larray/io/array.py
+++ b/larray/io/array.py
@@ -82,7 +82,7 @@ def from_series(s, sort_rows=False):
     s : Pandas Series
         Input Pandas Series.
     sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). 
+        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
 
     Returns
@@ -103,8 +103,8 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
 
     Parameters
     ----------
-    df : Pandas DataFrame
-        Input dataframe. By default, name and labels of the last axis are defined by the name and labels of the 
+    df : pandas.DataFrame
+        Input dataframe. By default, name and labels of the last axis are defined by the name and labels of the
         columns Index of the dataframe unless argument unfold_last_axis_name is set to True.
     sort_rows : bool, optional
         Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting). Defaults to False.
@@ -112,13 +112,11 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
     parse_header : bool, optional
-        Whether or not to parse columns labels. Pandas treats column labels as strings. 
-        If True, column labels are converted into int, float or boolean whenever it is possible. 
-        Defaults to True. 
+        Whether or not to parse columns labels. Pandas treats column labels as strings.
+        If True, column labels are converted into int, float or boolean when possible. Defaults to True.
     unfold_last_axis_name : bool, optional
-        Whether or not to extract name of the last axis from last column of index of the dataframe. 
-        If True, extract the names of the two last axes by spliting the name of the last column of index 
-         of the dataframe using '\'. Defaults to False.
+        Whether or not to extract the names of the last two axes by splitting the name of the last index column of the
+        dataframe using ``\\``. Defaults to False.
 
     Returns
     -------
@@ -131,9 +129,9 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
     Examples
     --------
     >>> df = ndtest((2, 2, 2)).to_frame()
-    >>> df
+    >>> df                                                                             # doctest: +NORMALIZE_WHITESPACE
     c      c0  c1
-    a  b         
+    a  b
     a0 b0   0   1
        b1   2   3
     a1 b0   4   5
@@ -145,12 +143,12 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
     a1   b0   4   5
     a1   b1   6   7
 
-    Names of the two last axes written as 'before_last_axis_name\last_axis_name' 
+    Names of the last two axes written as ``before_last_axis_name\\last_axis_name``
 
     >>> df = ndtest((2, 2, 2)).to_frame(fold_last_axis_name=True)
-    >>> df
+    >>> df                                                                             # doctest: +NORMALIZE_WHITESPACE
             c0  c1
-    a  b\\c        
+    a  b\\c
     a0 b0    0   1
        b1    2   3
     a1 b0    4   5
@@ -190,7 +188,7 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
 def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
     """
     Prepare Pandas DataFrame and then convert it into LArray.
-    
+
     Parameters
     ----------
     df : Pandas DataFrame
@@ -201,22 +199,19 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
     raw : bool, optional
-        Whether or not to consider the input dataframe as a raw dataframe, i.e. read without index at all. 
-        If True, build the first N-1 axes of the output array from the first N-1 dataframe columns. 
-        Defaults to False.
+        Whether or not to consider the input dataframe as a raw dataframe, i.e. read without index at all.
+        If True, build the first N-1 axes of the output array from the first N-1 dataframe columns. Defaults to False.
     parse_header : bool, optional
-        Whether or not to parse columns labels. Pandas treats column labels as strings. 
-        If True, column labels are converted into int, float or boolean whenever it is possible. 
-        Defaults to True. 
+        Whether or not to parse columns labels. Pandas treats column labels as strings.
+        If True, column labels are converted into int, float or boolean when possible. Defaults to True.
 
     Returns
     -------
     LArray
     """
-    # we could inline df_aslarray into the functions that use it, so that the
-    # original (non-cartesian) df is freed from memory at this point, but it
-    # would be much uglier and would not lower the peak memory usage which
-    # happens during cartesian_product_df.reindex
+    # we could inline df_aslarray into the functions that use it, so that the original (non-cartesian) df is freed from
+    # memory at this point, but it would be much uglier and would not lower the peak memory usage which happens during
+    # cartesian_product_df.reindex
 
     # raw = True: the dataframe was read without index at all (ie 2D dataframe),
     # irrespective of the actual data dimensionality
@@ -611,7 +606,7 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
 
     Examples
     --------
-    >>> # to create a 1D array using the default separator ' ', a tabulation character \t must be added in front 
+    >>> # to create a 1D array using the default separator ' ', a tabulation character \t must be added in front
     >>> # of the data line
     >>> from_string("sex  M  F\\n\\t  0  1")
     sex  M  F

From 8c4852cccdefc43ca1576ec5768f7391040cb398 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:30:35 +0200
Subject: [PATCH 788/899] bump version to 0.26

---
 condarecipe/larray/meta.yaml | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 50a15e76b..79d6de4b4 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.25.2
+  version: 0.26
 
 source:
-  git_tag: 0.25.2
+  git_tag: 0.26
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/larray/__init__.py b/larray/__init__.py
index ffd15ce48..9e745658b 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.25.2"
+__version__ = "0.26"
diff --git a/setup.py b/setup.py
index c59c7f525..b7a53fc62 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.25.2'
+VERSION = '0.26'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 5464da0303d2d927343a06c0c72a9676b9a01f6f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:34:52 +0200
Subject: [PATCH 789/899] added missing AxisCollection.split_axis

---
 larray/core/axis.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index b0b2ee91a..c2c90d6ad 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2358,6 +2358,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
             split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, _names)]
             new_axes = new_axes[:axis_index] + split_axes + new_axes[axis_index + 1:]
         return new_axes
+    split_axis = renamed_to(split_axes, 'split_axis')
 
     def align(self, other, join='outer', axes=None):
         """Align this axis collection with another.

From 96adb9b7ec59198b02b34f20c10fae4454cd46cf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:35:48 +0200
Subject: [PATCH 790/899] updated open_excel docstring with "app" changes from
 0.25 (closes #417)

---
 larray/io/excel.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/io/excel.py b/larray/io/excel.py
index c99949531..c819f3e62 100644
--- a/larray/io/excel.py
+++ b/larray/io/excel.py
@@ -519,7 +519,7 @@ def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, a
 app : None, "new", "active", "global" or xlwings.App, optional
     use "new" for opening a new Excel instance, "active" for the last active instance (including ones opened by the
     user) and "global" to (re)use the same instance for all workbooks of a program. None is equivalent to "active" if
-    filepath is -1 and "global" otherwise. Defaults to None.
+    filepath is -1, "new" if visible is True and "global" otherwise. Defaults to None.
 
     The "global" instance is a specific Excel instance for all input from/output to Excel from within a single Python
     program (and should not interact with instances manually opened by the user or another program).

From 5f1930bf91c1ee584883fb11c912f0d3ae6d1431 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:37:36 +0200
Subject: [PATCH 791/899] fixed repr(LArray) when it contains an "empty" column
 (with only '')

---
 larray/core/array.py       |  4 ++--
 larray/tests/test_array.py |  3 +++
 larray/util/misc.py        | 29 +++++++++++++++++++++++++++--
 3 files changed, 32 insertions(+), 4 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index b0f3462e7..0c6f56029 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2438,8 +2438,8 @@ def __str__(self):
         elif not len(self):
             return 'LArray([])'
         else:
-            return table2str(list(self.as_table(maxlines=200, edgeitems=5)), 'nan', fullinfo=True, maxwidth=200,
-                             keepcols=self.ndim - 1)
+            table = list(self.as_table(maxlines=200, edgeitems=5))
+            return table2str(table, 'nan', fullinfo=True, maxwidth=200, keepcols=self.ndim - 1)
     __repr__ = __str__
 
     def __iter__(self):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index e3e0c76ef..074deec65 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -209,6 +209,9 @@ def test_str(self):
      0.0  1320.0  2640.0  3960.0  5280.0  6600.0  7920.0  9240.0  10560.0  ...  \
 139920.0  141240.0  142560.0  143880.0  145200.0  146520.0  147840.0  149160.0  150480.0  151800.0""")
 
+        arr = LArray([0, ''], Axis(['a0', ''], 'a'))
+        self.assertEqual(str(arr), "a  a0  \n    0  ")
+
     def test_getitem(self):
         raw = self.array
         la = self.larray
diff --git a/larray/util/misc.py b/larray/util/misc.py
index a1993dcf7..c72d0d975 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -94,7 +94,31 @@ def get_col_width(table, index):
 
 
 def longest_word(s):
-    return max(len(w) for w in s.split()) if s else 0
+    """Return length of the longest word in the given string
+
+    Parameters
+    ----------
+    s : str
+        string to check
+    Returns
+    -------
+    int
+        length of longest word
+
+    Examples
+    --------
+    >>> longest_word('12 123 1234')
+    4
+    >>> longest_word('12 1234 123')
+    4
+    >>> longest_word('123 12 123')
+    3
+    >>> longest_word('')
+    0
+    >>> longest_word(' ')
+    0
+    """
+    return max(len(w) for w in s.split()) if s and not s.isspace() else 0
 
 
 def get_min_width(table, index):
@@ -158,7 +182,8 @@ def table2str(table, missing, fullinfo=False, summarize=True, maxwidth=80, numed
 
     lines = []
     for row in formatted:
-        wrapped_row = [wrap(value, width) for value, width in zip(row, colwidths)]
+        wrapped_row = [wrap(value, width) if width > 0 else value
+                       for value, width in zip(row, colwidths)]
         maxlines = max(len(value) for value in wrapped_row)
         newlines = [[] for _ in range(maxlines)]
         for value, width in zip(wrapped_row, colwidths):

From cbb13236c5ebab65fa34933441068d9bae19cdee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 14:43:13 +0200
Subject: [PATCH 792/899] made stack(sessions) ignore all exceptions, like
 binary ops on sessions

---
 doc/source/changes/version_0_26.rst.inc |  7 +++++--
 larray/core/array.py                    | 11 +++++++++--
 2 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 45f59a5e9..1a0a93478 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -387,8 +387,11 @@ Fixes
 * fixed loading arrays from Excel sheets containing blank cells below or right of the array to read
   (closes :issue:`443`)
 
-* fixed unary and binary operations between sessions failing entirely when the operation failed/was invalid on any of
-  the array. Now the result will be nan for that array but the operation will carry on for other arrays.
+* fixed unary and binary operations between sessions failing entirely when the operation failed/was invalid on any
+  array. Now the result will be nan for that array but the operation will carry on for other arrays.
+
+* fixed stacking sessions failing entirely when the stacking failed on any array.  Now the result will be nan for that
+  array but the operation will carry on for other arrays.
 
 * fixed stacking arrays with anonymous axes.
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 0c6f56029..c98079d9c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -7643,8 +7643,15 @@ def stack(elements=None, axis=None, title='', **kwargs):
         all_keys = []
         for s in sessions:
             unique_list(s.keys(), all_keys, seen)
-        return Session([(k, stack([s.get(k, np.nan) for s in sessions], axis=axis))
-                        for k in all_keys])
+        res = []
+        for name in all_keys:
+            try:
+                stacked = stack([s.get(name, np.nan) for s in sessions], axis=axis)
+            # TypeError for str arrays, ValueError for incompatible axes, ...
+            except Exception:
+                stacked = np.nan
+            res.append((name, stacked))
+        return Session(res)
     else:
         result_axes = AxisCollection.union(*[get_axes(v) for v in values])
         result_axes.append(axis)

From 73a98fd00ddca69552bc96565bab17f0d6d01410 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 15:41:08 +0200
Subject: [PATCH 793/899] fixed nan_equal on arrays with object dtype and
 different axes

---
 larray/core/array.py       | 2 +-
 larray/tests/test_array.py | 7 ++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index c98079d9c..1350925df 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -630,7 +630,7 @@ def general_isnan(a):
         if np.issubclass_(a.dtype.type, np.inexact):
             return isnan(a)
         elif a.dtype.type is np.object_:
-            return obj_isnan(a)
+            return LArray(obj_isnan(a), a.axes)
         else:
             return False
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 074deec65..11e9466a8 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -16,7 +16,7 @@
 from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
-                    from_lists, from_string, open_excel, from_frame, sequence)
+                    from_lists, from_string, open_excel, from_frame, sequence, nan_equal)
 from larray.core.axis import _to_ticks, _to_key
 
 
@@ -3980,6 +3980,11 @@ def test_deprecated_methods(self):
         assert caught_warnings[0].message.args[0] == "split_axis() is deprecated. Use split_axes() instead."
         assert caught_warnings[0].filename == __file__
 
+    def test_nan_equal(self):
+        a = ndtest((2, 3, 4))
+        ao = a.astype(object)
+        assert_array_equal(nan_equal(ao, ao['c0']), a == a['c0'])
+
 
 if __name__ == "__main__":
     # import doctest

From 86c093b98779c9c42ff4f5a8a6e8bf1f7f3dcd83 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 15:52:02 +0200
Subject: [PATCH 794/899] renamed larray.core.abc to abstractbases and
 larray.io to larray.inout

I was fed up with pytest/pycharm being confused by those and having to fiddle with settings to run tests
---
 larray/__init__.py                       | 2 +-
 larray/core/{abc.py => abstractbases.py} | 0
 larray/core/array.py                     | 6 +++---
 larray/core/axis.py                      | 2 +-
 larray/core/group.py                     | 2 +-
 larray/core/session.py                   | 2 +-
 larray/inout/__init__.py                 | 5 +++++
 larray/{io => inout}/array.py            | 2 +-
 larray/{io => inout}/excel.py            | 2 +-
 larray/{io => inout}/session.py          | 6 +++---
 larray/io/__init__.py                    | 5 -----
 larray/tests/test_excel.py               | 6 +++---
 12 files changed, 20 insertions(+), 20 deletions(-)
 rename larray/core/{abc.py => abstractbases.py} (100%)
 create mode 100644 larray/inout/__init__.py
 rename larray/{io => inout}/array.py (99%)
 rename larray/{io => inout}/excel.py (99%)
 rename larray/{io => inout}/session.py (98%)
 delete mode 100644 larray/io/__init__.py

diff --git a/larray/__init__.py b/larray/__init__.py
index 9e745658b..d8024970d 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -1,7 +1,7 @@
 from __future__ import absolute_import, division, print_function
 
 from larray.core import *
-from larray.io import *
+from larray.inout import *
 from larray.util import *
 from larray.example import *
 from larray.extra import *
diff --git a/larray/core/abc.py b/larray/core/abstractbases.py
similarity index 100%
rename from larray/core/abc.py
rename to larray/core/abstractbases.py
diff --git a/larray/core/array.py b/larray/core/array.py
index 1350925df..ff6469b81 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -60,7 +60,7 @@
 except ImportError:
     np_nanprod = None
 
-from larray.core.abc import ABCLArray
+from larray.core.abstractbases import ABCLArray
 from larray.core.expr import ExprNode
 from larray.core.group import (Group, IGroup, LGroup, remove_nested_groups, _to_key, _to_keys,
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
@@ -5709,7 +5709,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
             engine = 'xlwings' if xw is not None else None
 
         if engine == 'xlwings':
-            from larray.io.excel import open_excel
+            from larray.inout.excel import open_excel
 
             close = False
             new_workbook = False
@@ -6561,7 +6561,7 @@ def aslarray(a):
     elif hasattr(a, '__larray__'):
         return a.__larray__()
     elif isinstance(a, pd.DataFrame):
-        from larray.io.array import from_frame
+        from larray.inout.array import from_frame
         return from_frame(a)
     else:
         return LArray(a)
diff --git a/larray/core/axis.py b/larray/core/axis.py
index c2c90d6ad..f6a9e38de 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -8,7 +8,7 @@
 
 import numpy as np
 
-from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
+from larray.core.abstractbases import ABCAxis, ABCAxisReference, ABCLArray
 from larray.core.expr import ExprNode
 from larray.core.group import (Group, LGroup, IGroup, IGroupMaker, _to_tick, _to_ticks, _to_key, _seq_summary,
                                _contain_group_ticks, _seq_group_to_name)
diff --git a/larray/core/group.py b/larray/core/group.py
index dd5f3a915..689bbc8da 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -9,7 +9,7 @@
 import numpy as np
 import pandas as pd
 
-from larray.core.abc import ABCAxis, ABCAxisReference, ABCLArray
+from larray.core.abstractbases import ABCAxis, ABCAxisReference, ABCLArray
 from larray.util.oset import *
 from larray.util.misc import basestring, PY2, unique, find_closing_chr, _parse_bound, _seq_summary, renamed_to
 
diff --git a/larray/core/session.py b/larray/core/session.py
index d84b29892..49dad79ea 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -11,7 +11,7 @@
 from larray.core.axis import Axis
 from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, sequence
 from larray.util.misc import float_error_handler_factory, is_interactive_interpreter, renamed_to
-from larray.io.session import check_pattern, handler_classes, ext_default_engine
+from larray.inout.session import check_pattern, handler_classes, ext_default_engine
 
 
 # XXX: inherit from OrderedDict or LArray?
diff --git a/larray/inout/__init__.py b/larray/inout/__init__.py
new file mode 100644
index 000000000..f640129a6
--- /dev/null
+++ b/larray/inout/__init__.py
@@ -0,0 +1,5 @@
+from __future__ import absolute_import, division, print_function
+
+from larray.inout.excel import open_excel
+from larray.inout.array import *
+from larray.inout.session import *
diff --git a/larray/io/array.py b/larray/inout/array.py
similarity index 99%
rename from larray/io/array.py
rename to larray/inout/array.py
index 3326597e5..71f3cdfb9 100644
--- a/larray/io/array.py
+++ b/larray/inout/array.py
@@ -468,7 +468,7 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
         if kwargs:
             raise TypeError("'{}' is an invalid keyword argument for this function when using the xlwings backend"
                             .format(list(kwargs.keys())[0]))
-        from larray.io.excel import open_excel
+        from larray.inout.excel import open_excel
         with open_excel(filepath) as wb:
             return wb[sheetname].load(index_col=index_col, fill_value=fill_value, sort_rows=sort_rows,
                                       sort_columns=sort_columns)
diff --git a/larray/io/excel.py b/larray/inout/excel.py
similarity index 99%
rename from larray/io/excel.py
rename to larray/inout/excel.py
index c819f3e62..dd2c46ac3 100644
--- a/larray/io/excel.py
+++ b/larray/inout/excel.py
@@ -10,7 +10,7 @@
 from larray.core.group import _translate_sheet_name
 from larray.core.axis import Axis
 from larray.core.array import LArray
-from larray.io.array import df_aslarray, from_lists
+from larray.inout.array import df_aslarray, from_lists
 
 string_types = (str,)
 
diff --git a/larray/io/session.py b/larray/inout/session.py
similarity index 98%
rename from larray/io/session.py
rename to larray/inout/session.py
index 70ba62b6d..d799af343 100644
--- a/larray/io/session.py
+++ b/larray/inout/session.py
@@ -5,10 +5,10 @@
 from collections import OrderedDict
 from pandas import ExcelWriter, ExcelFile, HDFStore
 
-from larray.core.abc import ABCLArray
+from larray.core.abstractbases import ABCLArray
 from larray.util.misc import pickle
-from larray.io.excel import open_excel
-from larray.io.array import df_aslarray, read_csv, read_hdf
+from larray.inout.excel import open_excel
+from larray.inout.array import df_aslarray, read_csv, read_hdf
 
 try:
     import xlwings as xw
diff --git a/larray/io/__init__.py b/larray/io/__init__.py
deleted file mode 100644
index 9d3031184..000000000
--- a/larray/io/__init__.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from __future__ import absolute_import, division, print_function
-
-from larray.io.excel import open_excel
-from larray.io.array import *
-from larray.io.session import *
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index faad05e62..12ad57f56 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -11,7 +11,7 @@
     xw = None
 
 from larray import ndtest, ndrange, larray_equal, open_excel, aslarray
-from larray.io import excel
+from larray.inout import excel
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")
@@ -40,7 +40,7 @@ def test_open_excel(self):
 
     def test_repr(self):
         with open_excel(visible=False) as wb:
-            assert re.match('<larray.io.excel.Workbook \[Book\d+\]>', repr(wb))
+            assert re.match('<larray.inout.excel.Workbook \[Book\d+\]>', repr(wb))
 
     def test_getitem(self):
         with open_excel(visible=False) as wb:
@@ -166,7 +166,7 @@ def test_array_method(self):
     def test_repr(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
-            assert re.match('<larray.io.excel.Sheet \[Book\d+\]Sheet1>', repr(sheet))
+            assert re.match('<larray.inout.excel.Sheet \[Book\d+\]Sheet1>', repr(sheet))
 
 
 @pytest.mark.skipif(xw is None, reason="xlwings is not available")

From 0caf4115c56a1544043edf523b5883f66bd5d614 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 11 Oct 2017 15:53:57 +0200
Subject: [PATCH 795/899] removed changelog for issue #84 because it was not
 present in 0.25.2

---
 doc/source/changes/version_0_26.rst.inc | 2 --
 1 file changed, 2 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 1a0a93478..e32ee9a1b 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -402,5 +402,3 @@ Fixes
 * fixed representing a 0D array (scalar) in the viewer (closes :editor_issue:`71`)
 
 * fixed viewer not displaying an error message when saving or loading a file failed (closes :editor_issue:`75`)
-
-* fixed viewer showing array with empty axes names and labels when starting a new session (closes :editor_issue:`84`)

From 8d046cf05b64e485322fa371b271d8f93a6846cf Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 12 Oct 2017 13:47:07 +0200
Subject: [PATCH 796/899] fixed split_axes on array with labels of type object

---
 doc/source/changes/version_0_26.rst.inc |  2 ++
 larray/core/axis.py                     |  4 +++-
 larray/tests/test_array.py              | 12 ++++++++++++
 3 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index e32ee9a1b..600a09d42 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -395,6 +395,8 @@ Fixes
 
 * fixed stacking arrays with anonymous axes.
 
+* fixed applying `split_axes` on an array with labels of type 'Object' (could happen when an array is read from a file).
+
 * fixed background color in the viewer when using filters in the `compare()` dialog (closes :editor_issue:`66`)
 
 * fixed autoresize of columns by double clicking between column headers (closes :editor_issue:`43`)
diff --git a/larray/core/axis.py b/larray/core/axis.py
index f6a9e38de..0656c0639 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2329,7 +2329,9 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         # axes should be a dict at this time
         assert isinstance(axes, dict)
 
-        new_axes = self[:]
+        new_axes = AxisCollection([axis if axis.labels.dtype != np.dtype('O')
+                                   else Axis([str(label) for label in axis.labels], axis.name)
+                                   for axis in self])
         for axis, names in axes.items():
             axis = new_axes[axis]
             axis_index = new_axes.index(axis)
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 11e9466a8..56575532c 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3911,6 +3911,18 @@ def test_split_axes(self):
         assert list(res.axes.f.labels) == ['f0', 'f1']
         assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0b1', 'c2', 'd3', 'e2f1']
 
+        # labels with type 'object'
+        # =========================
+        arr = ndtest((2, 2, 2)).combine_axes(('a', 'b'))
+        arr = arr.set_axes([Axis(a.labels.astype(object), a.name) for a in arr.axes])
+
+        res = arr.split_axes()
+        dtype = np.dtype('U2') if sys.version_info[0] >= 3 else np.dtype('S2')
+        assert res.a.labels.dtype == dtype
+        assert res.b.labels.dtype == dtype
+        assert res.c.labels.dtype == dtype
+        assert_array_equal(res, ndtest((2, 2, 2)))
+
     def test_stack(self):
         # simple
         arr0 = ndtest(3)

From 743038b4d731323a5d6c95dcec2b75e723ee4f69 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 15:58:08 +0200
Subject: [PATCH 797/899] fixed warnings in tests by doubling/quadrupling \
 where necessary

---
 larray/core/array.py  |  2 +-
 larray/core/axis.py   |  2 +-
 larray/inout/array.py | 14 +++++++-------
 3 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index ff6469b81..25c6b56f2 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6483,7 +6483,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         >>> combined
         a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
                 0     1     2     3     4     5
-        >>> combined.split_axes('a_b', regex='(\w{2})(\w{2})')
+        >>> combined.split_axes('a_b', regex='(\\\\w{2})(\\\\w{2})')
         a\\b  b0  b1  b2
          a0   0   1   2
          a1   3   4   5
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 0656c0639..e5f30bf87 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2286,7 +2286,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         AxisCollection([
             Axis(['a0b0', 'a0b1', 'a0b2', 'a1b0', 'a1b1', 'a1b2'], 'a_b')
         ])
-        >>> combined.split_axes('a_b', regex='(\w{2})(\w{2})')
+        >>> combined.split_axes('a_b', regex='(\\\\w{2})(\\\\w{2})')
         AxisCollection([
             Axis(['a0', 'a1'], 'a'),
             Axis(['b0', 'b1', 'b2'], 'b')
diff --git a/larray/inout/array.py b/larray/inout/array.py
index 71f3cdfb9..b03d76a8c 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -534,13 +534,13 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
     ...             ['',      0,   1]])
     sex  M  F
          0  1
-    >>> from_lists([['sex\\year', 1991, 1992, 1993],
+    >>> from_lists([['sex\\\\year', 1991, 1992, 1993],
     ...             [ 'M',           0,    1,    2],
     ...             [ 'F',           3,    4,    5]])
     sex\\year  1991  1992  1993
            M     0     1     2
            F     3     4     5
-    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    >>> from_lists([['sex', 'nat\\\\year', 1991, 1992, 1993],
     ...             [  'M', 'BE',           1,    0,    0],
     ...             [  'M', 'FO',           2,    0,    0],
     ...             [  'F', 'BE',           0,    0,    1]])
@@ -558,7 +558,7 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
       M       FO   2.0   0.0   0.0
       F       BE   0.0   0.0   1.0
       F       FO   nan   nan   nan
-    >>> from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+    >>> from_lists([['sex', 'nat\\\\year', 1991, 1992, 1993],
     ...             [  'M', 'BE',           1,    0,    0],
     ...             [  'M', 'FO',           2,    0,    0],
     ...             [  'F', 'BE',           0,    0,    1]], fill_value=42)
@@ -611,7 +611,7 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
     >>> from_string("sex  M  F\\n\\t  0  1")
     sex  M  F
          0  1
-    >>> from_string("nat\\sex  M  F\\nBE  0  1\\nFO  2  3")
+    >>> from_string("nat\\\\sex  M  F\\nBE  0  1\\nFO  2  3")
     nat\sex  M  F
          BE  0  1
          FO  2  3
@@ -622,13 +622,13 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
 
     Each label is stripped of leading and trailing whitespace, so this is valid too:
 
-    >>> from_string('''nat\\sex  M  F
+    >>> from_string('''nat\\\\sex  M  F
     ...                BE        0  1
     ...                FO        2  3''')
     nat\sex  M  F
          BE  0  1
          FO  2  3
-    >>> from_string('''age  nat\\sex  M  F
+    >>> from_string('''age  nat\\\\sex  M  F
     ...                0    BE        0  1
     ...                0    FO        2  3
     ...                1    BE        4  5
@@ -642,7 +642,7 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
     Empty lines at the beginning or end are ignored, so one can also format the string like this:
 
     >>> from_string('''
-    ... nat\\sex  M  F
+    ... nat\\\\sex  M  F
     ... BE        0  1
     ... FO        2  3
     ... ''')

From d3340e9fe41aa21211dcb21b2418036d25f8771f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:00:23 +0200
Subject: [PATCH 798/899] implemented Axis.split to split an axis into several

---
 doc/source/api.rst                      |  1 +
 doc/source/changes/version_0_26.rst.inc |  8 +++-
 larray/core/axis.py                     | 57 +++++++++++++++++++++++++
 3 files changed, 65 insertions(+), 1 deletion(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index a2ae7e276..f12ff7483 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -65,6 +65,7 @@ Modifying/Selecting/Searching
    Axis.intersection
    Axis.difference
    Axis.align
+   Axis.split
 
 Testing
 -------
diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 600a09d42..a7380258a 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -1,4 +1,4 @@
-Syntax changes
+Syntax changes
 --------------
 
 * renamed special variable `x` to `X` to let users define an `x` variable in their code without breaking all
@@ -99,6 +99,12 @@ New features
     a1   b0   4   5
     a1   b1   6   7
 
+* implemented Axis.split to split an axis into several.
+
+    >>> a_b = Axis('a_b=a0_b0,a0_b1,a0_b2,a1_b0,a1_b1,a1_b2')
+    >>> a_b.split()
+    [Axis(['a0', 'a1'], 'a'), Axis(['b0', 'b1', 'b2'], 'b')]
+
 
 Miscellaneous improvements
 --------------------------
diff --git a/larray/core/axis.py b/larray/core/axis.py
index e5f30bf87..c3078ed1e 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -274,6 +274,63 @@ def extend(self, labels):
         labels = self._length + other._length if self.iswildcard else np.append(self.labels, other.labels)
         return Axis(labels, self.name)
 
+    def split(self, sep='_', names=None, regex=None, return_labels=False):
+        """Split axis and returns a list of Axis.
+
+        Parameters
+        ----------
+        sep : str, optional
+            Delimiter to use for splitting. Defaults to '_'.
+            When `regex` is provided, the delimiter is only used on `names` if given as one string or on axis name if
+            `names` is None.
+        names : str or list of str, optional
+            Names of resulting axes. Defaults to None.
+        regex : str, optional
+            Use regex instead of delimiter to split labels. Defaults to None.
+        labels : bool, optional
+            Whether or not split labels must be returned (as a tuple of tuples). These labels are suitable for indexing
+            via array.points[labels]. Defaults to False.
+
+        Returns
+        -------
+        list of Axis or (list of Axis, array-like)
+
+        Examples
+        --------
+        >>> a_b = Axis('a_b=a0_b0,a0_b1,a0_b2,a1_b0,a1_b1,a1_b2')
+        >>> a_b.split()
+        [Axis(['a0', 'a1'], 'a'), Axis(['b0', 'b1', 'b2'], 'b')]
+        """
+        if names is None:
+            if sep not in self.name:
+                raise ValueError('{} not found in self name ({})'.format(sep, self.name))
+            else:
+                names = self.name.split(sep)
+        elif isinstance(names, str):
+            if sep not in names:
+                raise ValueError('{} not found in names ({})'.format(sep, names))
+            else:
+                names = names.split(sep)
+        else:
+            assert all(isinstance(name, str) for name in names)
+        if not regex:
+            # np.char.split does not work on arrays with object dtype
+            labels = self.labels if self.labels.dtype.kind != 'O' else self.labels.astype(str)
+            # gives us an array of lists
+            split_labels = np.char.split(labels, sep)
+        else:
+            match = re.compile(regex).match
+            split_labels = [match(l).groups() for l in self.labels]
+        indexing_labels = zip(*split_labels)
+        if return_labels:
+            indexing_labels = tuple(indexing_labels)
+        # not using np.unique because we want to keep the original order
+        split_axes = [Axis(unique_list(ax_labels), name) for ax_labels, name in zip(indexing_labels, names)]
+        if return_labels:
+            return split_axes, indexing_labels
+        else:
+            return split_axes
+
     @property
     def iswildcard(self):
         return self._iswildcard

From 19f3db50cfdf1045797f982696e5df9c9165c00f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:01:47 +0200
Subject: [PATCH 799/899] made separator in _bool_key_new_axes configurable

---
 larray/core/array.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 25c6b56f2..de4e50219 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2125,7 +2125,7 @@ def __setitem__(self, key, value, collapse_slices=True):
 
         data[cross_key] = value
 
-    def _bool_key_new_axes(self, key, wildcard_allowed=False):
+    def _bool_key_new_axes(self, key, wildcard_allowed=False, sep='_'):
         """
         Returns an AxisCollection containing combined axes.
         Axes corresponding to scalar key are dropped.
@@ -2146,7 +2146,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         -----
         See examples of properties `points` and `ipoints`.
         """
-        # TODO: use AxisCollection.combine_axes. The problem is that combine_axes use product(*axes_labels)
+        # TODO: use AxisCollection.combine_axes. The problem is that it uses product(*axes_labels)
         #       while here we need zip(*axes_labels)
         combined_axes = [axis for axis_key, axis in zip(key, self.axes)
                          if not _isnoneslice(axis_key) and
@@ -2169,7 +2169,7 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
         if all(axis.name is None for axis in combined_axes):
             combined_name = None
         else:
-            combined_name = '_'.join(str(self.axes.axis_id(axis)) for axis in combined_axes)
+            combined_name = sep.join(str(self.axes.axis_id(axis)) for axis in combined_axes)
         new_axes = other_axes
         if combined_axis_pos is not None:
             if wildcard_allowed:
@@ -2193,7 +2193,8 @@ def _bool_key_new_axes(self, key, wildcard_allowed=False):
                     #    wildcard axis (and axes_labels discarded?)
                     combined_labels = axes_labels[0]
                 else:
-                    combined_labels = ['_'.join([str(l) for l in labels]) for labels in zip(*axes_labels)]
+                    combined_labels = [sep.join(str(l) for l in comb)
+                                       for comb in zip(*axes_labels)]
 
                 # CRAP, this can lead to duplicate labels (especially using .points)
                 combined_axis = Axis(combined_labels, combined_name)

From a639708457ba5a6e174df936f7ea3e88c4a80da3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:02:28 +0200
Subject: [PATCH 800/899] rewrap some code to 120 chars

---
 larray/core/array.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index de4e50219..51490bc09 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6498,8 +6498,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
           a0_b1      4      5      6      7
           a1_b0      8      9     10     11
           a1_b1     12     13     14     15
-        >>> # equivalent to combined.split_axes() which split all axes
-        >>> # whose name contains the `sep` delimiter.
+        >>> # equivalent to combined.split_axes() which split all axes whose name contains the `sep` delimiter.
         >>> combined.split_axes(['a_b', 'c_d'])
          a   b  c\\d  d0  d1
         a0  b0   c0   0   1
@@ -7061,8 +7060,7 @@ def array_or_full(a, axis, initial):
             inc = full_like(initial, inc)
 
         # inc only (integer scalar)
-        if np.isscalar(mult) and mult == 1 and np.isscalar(inc) and \
-                res_dtype.kind == 'i':
+        if np.isscalar(mult) and mult == 1 and np.isscalar(inc) and res_dtype.kind == 'i':
             # stop is not included
             stop = initial + inc * len(axis)
             data = np.arange(initial, stop, inc)
@@ -7085,8 +7083,7 @@ def array_or_full(a, axis, initial):
         else:
             mult_array = array_or_full(mult, axis, 1.0)
             cum_mult = mult_array.cumprod(axis)[axis.i[1:]]
-            res[axis.i[1:]] = \
-                ((1 - cum_mult) / (1 - mult)) * inc + initial * cum_mult
+            res[axis.i[1:]] = ((1 - cum_mult) / (1 - mult)) * inc + initial * cum_mult
     return res
 
 create_sequential = renamed_to(sequence, 'create_sequential')

From 704fee09813fd58760e33e010a65a873958a753e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:05:29 +0200
Subject: [PATCH 801/899] rewrite AxisColleciton.split_axis by using Axis.split

this also means only the axes being split are converted to str dtype
---
 larray/core/axis.py        | 35 +++++++++--------------------------
 larray/tests/test_array.py | 17 ++++++++---------
 2 files changed, 17 insertions(+), 35 deletions(-)

diff --git a/larray/core/axis.py b/larray/core/axis.py
index c3078ed1e..b7a63a585 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -2299,6 +2299,8 @@ def combine_axes(self, axes=None, sep='_', wildcard=False, front_if_spread=False
     def split_axes(self, axes=None, sep='_', names=None, regex=None):
         """Split axes and returns a new collection
 
+        The split axes are inserted where the combined axis was.
+
         Parameters
         ----------
         axes : int, str, Axis or any combination of those, optional
@@ -2313,6 +2315,11 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         regex : str, optional
             use regex instead of delimiter to split labels. Defaults to None.
 
+        See Also
+        --------
+        Axis.split
+        LArray.split_axes
+
         Returns
         -------
         AxisCollection
@@ -2386,35 +2393,11 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         # axes should be a dict at this time
         assert isinstance(axes, dict)
 
-        new_axes = AxisCollection([axis if axis.labels.dtype != np.dtype('O')
-                                   else Axis([str(label) for label in axis.labels], axis.name)
-                                   for axis in self])
+        new_axes = self[:]
         for axis, names in axes.items():
             axis = new_axes[axis]
             axis_index = new_axes.index(axis)
-            if names is None:
-                if sep not in axis.name:
-                    raise ValueError('{} not found in axis name ({})'.format(sep, axis.name))
-                else:
-                    _names = axis.name.split(sep)
-            elif isinstance(names, str):
-                if sep not in names:
-                    raise ValueError('{} not found in names ({})'.format(sep, names))
-                else:
-                    _names = names.split(sep)
-            else:
-                assert all(isinstance(name, str) for name in names)
-                _names = names
-
-            if not regex:
-                # gives us an array of lists
-                split_labels = np.char.split(axis.labels, sep)
-            else:
-                rx = re.compile(regex)
-                split_labels = [rx.match(l).groups() for l in axis.labels]
-            # not using np.unique because we want to keep the original order
-            axes_labels = [unique_list(ax_labels) for ax_labels in zip(*split_labels)]
-            split_axes = [Axis(axis_labels, name) for axis_labels, name in zip(axes_labels, _names)]
+            split_axes = axis.split(sep, names, regex)
             new_axes = new_axes[:axis_index] + split_axes + new_axes[axis_index + 1:]
         return new_axes
     split_axis = renamed_to(split_axes, 'split_axis')
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 56575532c..ec5fb96a8 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3840,14 +3840,14 @@ def test_split_axes(self):
         # split one axis
         # ==============
         arr = ndtest((2, 3, 4, 5))
-        comb = arr.combine_axes((X.b, X.d))
+        comb = arr.combine_axes(('b', 'd'))
         self.assertEqual(comb.axes.names, ['a', 'b_d', 'c'])
         # default delimiter '_'
         res = comb.split_axes('b_d')
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
-        assert_array_equal(res.transpose(X.a, X.b, X.c, X.d), arr)
+        assert_array_equal(res.transpose('a', 'b', 'c', 'd'), arr)
         # regex
         names = ['b', 'd']
         regex = '(\w+)_(\w+)'
@@ -3855,7 +3855,7 @@ def test_split_axes(self):
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
         self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
-        assert_array_equal(res.transpose(X.a, X.b, X.c, X.d), arr)
+        assert_array_equal(res.transpose('a', 'b', 'c', 'd'), arr)
 
         # split several axes at once
         # ==========================
@@ -3911,16 +3911,15 @@ def test_split_axes(self):
         assert list(res.axes.f.labels) == ['f0', 'f1']
         assert res['a0', 'b1', 'c2', 'd3', 'e2', 'f1'] == arr['a0b1', 'c2', 'd3', 'e2f1']
 
-        # labels with type 'object'
-        # =========================
+        # labels with object dtype
         arr = ndtest((2, 2, 2)).combine_axes(('a', 'b'))
         arr = arr.set_axes([Axis(a.labels.astype(object), a.name) for a in arr.axes])
 
         res = arr.split_axes()
-        dtype = np.dtype('U2') if sys.version_info[0] >= 3 else np.dtype('S2')
-        assert res.a.labels.dtype == dtype
-        assert res.b.labels.dtype == dtype
-        assert res.c.labels.dtype == dtype
+        expected_kind = 'U' if sys.version_info[0] >= 3 else 'S'
+        assert res.a.labels.dtype.kind == expected_kind
+        assert res.b.labels.dtype.kind == expected_kind
+        assert res.c.labels.dtype.kind == 'O'
         assert_array_equal(res, ndtest((2, 2, 2)))
 
     def test_stack(self):

From 38470f40127f3b51c8d894b1306dd20b29a4bf9c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:07:45 +0200
Subject: [PATCH 802/899] fixed array.split_axis when the combined axis does
 not contain all the combination of labels resulting from the split (closes
 #369)

also fixes when combined labels are not sorted by the first part then second part (closes #364)
---
 doc/source/changes/version_0_26.rst.inc |  5 +++
 larray/core/array.py                    | 50 ++++++++++++++++++++++---
 larray/tests/test_array.py              | 15 ++++++++
 3 files changed, 65 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index a7380258a..15c960ce5 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -410,3 +410,8 @@ Fixes
 * fixed representing a 0D array (scalar) in the viewer (closes :editor_issue:`71`)
 
 * fixed viewer not displaying an error message when saving or loading a file failed (closes :editor_issue:`75`)
+
+* fixed array.split_axis when the combined axis does not contain all the combination of labels resulting
+  from the split (closes :issue:`369`).
+
+* fixed array.split_axis when combined labels are not sorted by the first part then second part (closes :issue:`364`).
diff --git a/larray/core/array.py b/larray/core/array.py
index 51490bc09..be401620a 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6440,7 +6440,7 @@ def combine_axes(self, axes=None, sep='_', wildcard=False):
         new_axes = transposed.axes.combine_axes(axes, sep=sep, wildcard=wildcard)
         return transposed.reshape(new_axes)
 
-    def split_axes(self, axes=None, sep='_', names=None, regex=None):
+    def split_axes(self, axes=None, sep='_', names=None, regex=None, sort=False, fill_value=nan):
         """Split axes and returns a new array
 
         Parameters
@@ -6457,6 +6457,12 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
             names of resulting axes. Defaults to None.
         regex : str, optional
             use regex instead of delimiter to split labels. Defaults to None.
+        sort : bool, optional
+            Whether or not to sort the combined axis before splitting it. When all combinations of labels are present in
+            the combined axis, sorting is faster than not sorting. Defaults to False.
+        fill_value : scalar or LArray, optional
+            Value to use for missing values when the combined axis does not contain all combination of labels.
+            Defaults to NaN.
 
         Returns
         -------
@@ -6480,7 +6486,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
 
         Split labels using regex
 
-        >>> combined = ndrange('a_b = a0b0..a1b2')
+        >>> combined = ndrange('a_b=a0b0..a1b2')
         >>> combined
         a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
                 0     1     2     3     4     5
@@ -6491,7 +6497,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
 
         Split several axes at once
 
-        >>> combined = ndrange('a_b = a0_b0..a1_b1; c_d = c0_d0..c1_d1')
+        >>> combined = ndrange('a_b=a0_b0..a1_b1; c_d=c0_d0..c1_d1')
         >>> combined
         a_b\\c_d  c0_d0  c0_d1  c1_d0  c1_d1
           a0_b0      0      1      2      3
@@ -6520,8 +6526,42 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None):
         a1  b1   c0  12  13
         a1  b1   c1  14  15
         """
-        return self.reshape(self.axes.split_axes(axes, sep, names, regex))
-
+        array = self.sort_axes(axes) if sort else self
+        # TODO:
+        # * do multiple axes split in one go
+        # * somehow factorize this code with AxisCollection.split_axes
+        if axes is None:
+            axes = {axis: None for axis in array.axes if sep in axis.name}
+        elif isinstance(axes, (int, basestring, Axis)):
+            axes = {axes: None}
+        elif isinstance(axes, (list, tuple)):
+            if all(isinstance(axis, (int, basestring, Axis)) for axis in axes):
+                axes = {axis: None for axis in axes}
+            else:
+                raise ValueError("Expected tuple or list of int, string or Axis instances")
+        # axes should be a dict at this time
+        assert isinstance(axes, dict)
+        for axis, names in axes.items():
+            axis = array.axes[axis]
+            split_axes, split_labels = axis.split(sep, names, regex, return_labels=True)
+
+            axis_index = array.axes.index(axis)
+            new_axes = array.axes[:axis_index] + split_axes + array.axes[axis_index + 1:]
+            # fast path when all combinations of labels are present in the combined axis
+            all_combinations_present = AxisCollection(split_axes).size == len(np.unique(axis.labels))
+            if all_combinations_present and sort:
+                array = array.reshape(new_axes)
+            else:
+                if all_combinations_present:
+                    res = empty(new_axes, dtype=array.dtype)
+                else:
+                    res = full(new_axes, fill_value=fill_value, dtype=common_type((array, fill_value)))
+                if names is not None:
+                    # make sure we broadcast correctly
+                    array = array.rename(axis, sep.join(names))
+                res.points[split_labels] = array
+                array = res
+        return array
     split_axis = renamed_to(split_axes, 'split_axis')
 
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index ec5fb96a8..6e872467d 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3922,6 +3922,21 @@ def test_split_axes(self):
         assert res.c.labels.dtype.kind == 'O'
         assert_array_equal(res, ndtest((2, 2, 2)))
 
+        # not sorted by first part then second part (issue #364)
+        arr = ndtest((2, 3))
+        combined = arr.combine_axes()['a0_b0, a1_b0, a0_b1, a1_b1, a0_b2, a1_b2']
+        assert_array_equal(combined.split_axes('a_b'), arr)
+
+        # another weirdly sorted test
+        combined = arr.combine_axes()['a0_b1, a0_b0, a0_b2, a1_b1, a1_b0, a1_b2']
+        assert_array_equal(combined.split_axes('a_b'), arr['b1,b0,b2'])
+
+        # combined does not contain all combinations of labels (issue #369)
+        combined_partial = combined[['a0_b0', 'a0_b1', 'a1_b1', 'a0_b2', 'a1_b2']]
+        expected = arr.astype(float)
+        expected['a1', 'b0'] = np.nan
+        assert_array_nan_equal(combined_partial.split_axes('a_b'), expected)
+
     def test_stack(self):
         # simple
         arr0 = ndtest(3)

From 42930d6c93dc782491d0904be86bb9e77b0df397 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:08:30 +0200
Subject: [PATCH 803/899] fixed the test for Session.items() on Windows

---
 larray/core/session.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/larray/core/session.py b/larray/core/session.py
index 49dad79ea..10b27ab35 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -619,6 +619,8 @@ def items(self):
         Examples
         --------
         >>> arr1, arr2, arr3 = ndtest((2, 2)), ndtest(4), ndtest((3, 2))
+        >>> # make the test pass on both Windows and Linux
+        >>> arr1, arr2, arr3 = arr1.astype(np.int64), arr2.astype(np.int64), arr3.astype(np.int64)
         >>> s = Session([('arr2', arr2), ('arr1', arr1), ('arr3', arr3)])
         >>> for k, v in s.items():
         ...     print("{}: {}".format(k, v.info))

From 193937879a94997c81e6c9d9e238935858ccd6ec Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 12 Oct 2017 16:09:15 +0200
Subject: [PATCH 804/899] fixed Session()[int] on Python3

---
 larray/core/session.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index 10b27ab35..2648d4745 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -97,7 +97,8 @@ def _ipython_key_completions_(self):
 
     def __getitem__(self, key):
         if isinstance(key, int):
-            return self._objects[self.keys()[key]]
+            keys = list(self.keys())
+            return self._objects[keys[key]]
         elif isinstance(key, LArray):
             assert np.issubdtype(key.dtype, np.bool_)
             assert key.ndim == 1

From 70abae8b438a0e9fd7005338979fdf2735529f02 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 13 Oct 2017 15:11:22 +0200
Subject: [PATCH 805/899] update larray changelog with all changes in
 larray-editor

---
 doc/source/changes/version_0_26.rst.inc | 47 +++++++++++++++++++++++--
 1 file changed, 44 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index 15c960ce5..a25a0211b 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -12,14 +12,17 @@ Syntax changes
 
 * renamed `split_axis` to `split_axes` to reflect the fact that it can now split several axes at once (see below).
 
-* renamed PGroup as IGroup (I for Index).
+* renamed `sort_axis` to `sort_axes` to reflect the fact that it can sort multiple axes at once (and does so by
+  default).
 
 * renamed several methods with more explicit names (closes :issue:`50`):
 
-    - `sort_axis` to `sort_axes`
     - `argmax`, `argmin`, `argsort` to `labelofmax`, `labelofmin`, `labelsofsorted`
     - `posargmax`, `posargmin`, `posargsort` to `indexofmax`, `indexofmin`, `indicesofsorted`
 
+* renamed PGroup to IGroup to be consistent with other methods, especially the .i methods on axes and arrays
+  (I is for Index -- P was for Position).
+
 
 Backward incompatible changes
 -----------------------------
@@ -111,6 +114,10 @@ Miscellaneous improvements
 
 * view() and edit() without argument now display global arrays in addition to local ones (closes :editor_issue:`54`).
 
+* using the mouse scrollwheel on filter combo boxes will switch to the previous/next label.
+
+* implemented a combobox to choose which color gradient to use and provide a few gradients.
+
 * inverted background colors in the viewer (red for low values and blue for high values). Closes :editor_issue:`18`.
 
 * allowed to pass an array of labels as `new_axis` argument to `reindex` method (closes :issue:`384`):
@@ -341,7 +348,26 @@ Miscellaneous improvements
     sex  M  F
          0  1
 
-* title in the viewer also includes the dtype of the current displayed array (closes :editor_issue:`85`)
+* viewer window title also includes the dtype of the current displayed array (closes :editor_issue:`85`)
+
+* viewer window title uses only the file name instead of the entire file path as it made titles too long in some cases.
+
+* when editing .csv files, the viewer window title will be "directory\fname.csv - axes_info" instead of having the
+  file name repeated as before ("dir\fname.csv - fname: axes_info").
+
+* the viewer will not update digits/scientific notation nor colors when the filter changes, so that numbers are
+  more easily comparable when quickly changing the filter, especially using the scrollwheel on filter boxes.
+
+* NaN values display as grey in the viewer so that they stand out more.
+
+* compare() will color values depending on relative difference instead of absolute difference as this is usually more
+  useful.
+
+* compare(sessions) uses nan_equal to compare arrays so that identical arrays are not marked different when they
+  contain NaN values.
+
+* changed compare() "stacked axis" names: arrays -> array and sessions -> session because that reads a bit more
+  naturally.
 
 
 Fixes
@@ -415,3 +441,18 @@ Fixes
   from the split (closes :issue:`369`).
 
 * fixed array.split_axis when combined labels are not sorted by the first part then second part (closes :issue:`364`).
+
+* fixed opening .csv files in the editor will create variables named using only the filename without extension (instead
+  of being named using the full path of the file -- making it almost useless). Closes :editor_issue:`90`.
+
+* fixed deleting a variable (using the del key in the list) not marking the session/file as being modified.
+
+* fixed the link to the tutorial (Help->Online Tutorial) (closes :editor_issue:`92`).
+
+* fixed inplace modifications of arrays in the console (via array[xxx] = value) not updating the view (closes
+  :editor_issue:`94`).
+
+* fixed background color in compare() being wrong after changing axes order by drag-and-dropping them (closes
+  :editor_issue:`89`).
+
+* fixed the whole array/compare being the same color in the presence of -inf or +inf in the array.

From 8ebb42779d6ef62d7a117db0ec99eac1c94393c7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 13 Oct 2017 15:37:38 +0200
Subject: [PATCH 806/899] use latest eurostat package for meta package

---
 make_meta_package.bat | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_meta_package.bat b/make_meta_package.bat
index 8f22b8b79..7ac0cc5ef 100644
--- a/make_meta_package.bat
+++ b/make_meta_package.bat
@@ -1 +1 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==%1" "larray_eurostat ==0.1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
+conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==%1" "larray_eurostat ==%1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings

From 655be46e9267218dff0024dce456ff580f1b8167 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 13 Oct 2017 15:32:11 +0200
Subject: [PATCH 807/899] updated changelog 0.26 --> load example menu in
 viewer

---
 doc/source/changes/version_0_26.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_26.rst.inc b/doc/source/changes/version_0_26.rst.inc
index a25a0211b..5d2670069 100644
--- a/doc/source/changes/version_0_26.rst.inc
+++ b/doc/source/changes/version_0_26.rst.inc
@@ -108,6 +108,8 @@ New features
     >>> a_b.split()
     [Axis(['a0', 'a1'], 'a'), Axis(['b0', 'b1', 'b2'], 'b')]
 
+* added the possibility to load the example dataset used in the tutorial via the menu ``File > Load Example``
+  in the viewer
 
 Miscellaneous improvements
 --------------------------

From 2d0aa2d9e4a2ba13efdab999475563e32372c5bf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=83=C2=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 20 Oct 2017 15:26:00 +0200
Subject: [PATCH 808/899] fixed release date for 0.26

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 19bc7ebb1..5c4880225 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.26
 ============
 
-In development.
+Released on 2017-10-13.
 
 .. include:: ./changes/version_0_26.rst.inc
 

From be8f9031432160320c0b8474f3ed7be4d8b4847d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 20 Oct 2017 15:33:43 +0200
Subject: [PATCH 809/899] bump version to 0.26.1 (hopefully for the last time
 by hand)

---
 condarecipe/larray/meta.yaml              |  4 ++--
 doc/source/changes.rst                    |  8 ++++++++
 doc/source/changes/version_0_26_1.rst.inc | 18 ++++++++++++++++++
 larray/__init__.py                        |  2 +-
 setup.py                                  |  2 +-
 5 files changed, 30 insertions(+), 4 deletions(-)
 create mode 100644 doc/source/changes/version_0_26_1.rst.inc

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 79d6de4b4..d869eafe3 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.26
+  version: 0.26.1
 
 source:
-  git_tag: 0.26
+  git_tag: 0.26.1
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5c4880225..32f274f2c 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.26.1
+==============
+
+In development.
+
+.. include:: ./changes/version_0_26_1.rst.inc
+
+
 Version 0.26
 ============
 
diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file
diff --git a/larray/__init__.py b/larray/__init__.py
index d8024970d..5afcd2a57 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.26"
+__version__ = "0.26.1"
diff --git a/setup.py b/setup.py
index b7a53fc62..275b19b86 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.26'
+VERSION = '0.26.1'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 114c20b7dacb023d5fd9f4868b180e9fc865d5bd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 20 Oct 2017 16:14:04 +0200
Subject: [PATCH 810/899] fixed reading from and writing to Excel sheets with
 16384 columns or 1048576 rows (Excel's maximum).

---
 doc/source/changes/version_0_26_1.rst.inc |  11 +---
 larray/inout/excel.py                     |  69 ++++++++++++++++++----
 larray/tests/test_array.py                |  57 +++++++++++-------
 larray/tests/test_blank_cells.xlsx        | Bin 11693 -> 13921 bytes
 4 files changed, 92 insertions(+), 45 deletions(-)

diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
index 40d5a3454..050307767 100644
--- a/doc/source/changes/version_0_26_1.rst.inc
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -1,12 +1,3 @@
-New features
-------------
-
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
-
-* added another feature.
-
-.. _misc:
-
 Miscellaneous improvements
 --------------------------
 
@@ -15,4 +6,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed reading from and writing to Excel sheets with 16384 columns or 1048576 rows (Excel's maximum).
diff --git a/larray/inout/excel.py b/larray/inout/excel.py
index dd2c46ac3..b1b7a57c2 100644
--- a/larray/inout/excel.py
+++ b/larray/inout/excel.py
@@ -320,20 +320,63 @@ def __setitem__(self, key, value):
 
         @property
         def shape(self):
-            # include top-left empty rows/columns
+            """
+            shape of sheet including top-left empty rows/columns but excluding bottom-right ones.
+            """
             from xlwings.constants import Direction as xldir
-            used = self.xw_sheet.api.UsedRange
-            last_row = used.Row + used.Rows.Count
-            last_col = used.Column + used.Columns.Count
-            for last_used_row in range(last_row, 0, -1):
-                left_cell = used.Cells(last_used_row, last_col + 1).End(xldir.xlToLeft)
-                if left_cell.Column > 1 or left_cell.Value is not None:
-                    break
-            for last_used_col in range(last_col, 0, -1):
-                up_cell = used.Cells(last_row + 1, last_used_col).End(xldir.xlUp)
-                if up_cell.Row > 1 or up_cell.Value is not None:
-                    break
-            return (last_used_row, last_used_col)
+
+            sheet = self.xw_sheet.api
+            used = sheet.UsedRange
+            first_row = used.Row
+            first_col = used.Column
+            last_row = first_row + used.Rows.Count - 1
+            last_col = first_col + used.Columns.Count - 1
+            last_cell = sheet.Cells(last_row, last_col)
+
+            # fast path for sheets with a non blank bottom-right value
+            if last_cell.Value is not None:
+                return last_row, last_col
+
+            last_row_used = last_cell.End(xldir.xlToLeft).Value is not None
+            last_col_used = last_cell.End(xldir.xlUp).Value is not None
+
+            # fast path for sheets where last row and last col are not entirely blank
+            if last_row_used and last_col_used:
+                return last_row, last_col
+            else:
+                LEFT, UP = xldir.xlToLeft, xldir.xlUp
+
+                def line_length(row, col, direction):
+                    last_cell = sheet.Cells(row, col)
+                    if last_cell.Value is not None:
+                        return col if direction is LEFT else row
+                    first_cell = last_cell.End(direction)
+                    pos = first_cell.Column if direction is LEFT else first_cell.Row
+                    return pos - 1 if first_cell.Value is None else pos
+
+                if last_row < last_col:
+                    if last_row_used or last_row == 1:
+                        max_row = last_row
+                    else:
+                        for max_row in range(last_row - 1, first_row - 1, -1):
+                            if line_length(max_row, last_col, LEFT) > 0:
+                                break
+                    if last_col_used or last_col == 1:
+                        max_col = last_col
+                    else:
+                        max_col = max(line_length(row, last_col, LEFT) for row in range(first_row, max_row + 1))
+                else:
+                    if last_col_used or last_col == 1:
+                        max_col = last_col
+                    else:
+                        for max_col in range(last_col - 1, first_col - 1, -1):
+                            if line_length(last_row, max_col, UP) > 0:
+                                break
+                    if last_row_used or last_row == 1:
+                        max_row = last_row
+                    else:
+                        max_row = max(line_length(last_row, col, UP) for col in range(first_col, max_col + 1))
+                return max_row, max_col
 
         @property
         def ndim(self):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 6e872467d..81a90942f 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2565,15 +2565,19 @@ def test_read_excel_xlwings(self):
 
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = abspath('test_blank_cells.xlsx')
-        good_la = read_excel(fpath, 'good')
-        bad_la = read_excel(fpath, 'bad')
-        assert_array_equal(good_la, bad_la)
+        good = read_excel(fpath, 'good')
+        bad1 = read_excel(fpath, 'blanksafter_morerowsthancols')
+        bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows')
+        assert_array_equal(bad1, good)
+        assert_array_equal(bad2, good)
         # with additional empty column in the middle of the array to read
-        good_la2 = ndrange('a=a0,a1;b=2003..2006').astype(object)
-        good_la2[2005] = None
-        good_la2 = good_la2.set_axes('b', Axis([2003, 2004, None, 2006], 'b'))
-        bad_la2 = read_excel(fpath, 'bad2')
-        assert_array_equal(good_la2, bad_la2)
+        good2 = ndrange('a=a0,a1;b=2003..2006').astype(object)
+        good2[2005] = None
+        good2 = good2.set_axes('b', Axis([2003, 2004, None, 2006], 'b'))
+        bad3 = read_excel(fpath, 'middleblankcol')
+        bad4 = read_excel(fpath, '16384col')
+        assert_array_equal(bad3, good2)
+        assert_array_equal(bad4, good2)
 
     def test_read_excel_pandas(self):
         la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
@@ -2637,15 +2641,20 @@ def test_read_excel_pandas(self):
 
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = abspath('test_blank_cells.xlsx')
-        good_la = read_excel(fpath, 'good', engine='xlrd')
-        bad_la = read_excel(fpath, 'bad', engine='xlrd')
-        assert_array_equal(good_la, bad_la)
+        good1 = read_excel(fpath, 'good', engine='xlrd')
+        bad1 = read_excel(fpath, 'blanksafter_morerowsthancols', engine='xlrd')
+        bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows', engine='xlrd')
+        assert_array_equal(bad1, good1)
+        assert_array_equal(bad2, good1)
+
         # with additional empty column in the middle of the array to read
-        good_la2 = ndrange('a=a0,a1;b=2003..2006').astype(float)
-        good_la2[2005] = np.nan
-        good_la2 = good_la2.set_axes('b', Axis([2003, 2004, 'Unnamed: 3', 2006], 'b'))
-        bad_la2 = read_excel(fpath, 'bad2', engine='xlrd')
-        assert_array_nan_equal(good_la2, bad_la2)
+        good2 = ndrange('a=a0,a1;b=2003..2006').astype(float)
+        good2[2005] = np.nan
+        good2 = good2.set_axes('b', Axis([2003, 2004, 'Unnamed: 3', 2006], 'b'))
+        bad3 = read_excel(fpath, 'middleblankcol', engine='xlrd')
+        bad4 = read_excel(fpath, '16384col', engine='xlrd')
+        assert_array_nan_equal(bad3, good2)
+        assert_array_nan_equal(bad4, good2)
 
     def test_from_lists(self):
         # sort_rows
@@ -3421,13 +3430,17 @@ def test_open_excel(self):
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = abspath('test_blank_cells.xlsx')
         with open_excel(fpath) as wb:
-            good_la = wb['good'].load()
-            bad_la = wb['bad'].load()
+            good = wb['good'].load()
+            bad1 = wb['blanksafter_morerowsthancols'].load()
+            bad2 = wb['blanksafter_morecolsthanrows'].load()
             # with additional empty column in the middle of the array to read
-            good_la2 = wb['bad2']['A1:E3'].load()
-            bad_la2 = wb['bad2'].load()
-        assert_array_equal(good_la, bad_la)
-        assert_array_equal(good_la2, bad_la2)
+            good2 = wb['middleblankcol']['A1:E3'].load()
+            bad3 = wb['middleblankcol'].load()
+            bad4 = wb['16384col'].load()
+        assert_array_equal(bad1, good)
+        assert_array_equal(bad2, good)
+        assert_array_equal(bad3, good2)
+        assert_array_equal(bad4, good2)
 
         # 5) crash test
         # =============
diff --git a/larray/tests/test_blank_cells.xlsx b/larray/tests/test_blank_cells.xlsx
index 6ca6fb9a6125b422f3d5ec54214bb974850dd70a..04c9900de96742013a45434f91783edc6446bb6d 100644
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From eaa3874128be883dae529d5805e7221b41aa66bb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 20 Oct 2017 16:18:30 +0200
Subject: [PATCH 811/899] Made writing to or reading from a "bounded" subset of
 a sheet with many blank columns/rows after the data much faster by computing
 the shape only when necessary

Computing the shape can be expensive when there are blank cells involved.
---
 doc/source/changes/version_0_26_1.rst.inc |  5 ++--
 larray/inout/excel.py                     | 33 ++++++++++++++++++-----
 2 files changed, 29 insertions(+), 9 deletions(-)

diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
index 050307767..26ae8f6f7 100644
--- a/doc/source/changes/version_0_26_1.rst.inc
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -1,7 +1,8 @@
-Miscellaneous improvements
+Miscellaneous improvements
 --------------------------
 
-* improved something.
+* Made handling Excel sheets with many blank columns/rows after the data much faster (but still slower than sheets
+  without such blank cells).
 
 Fixes
 -----
diff --git a/larray/inout/excel.py b/larray/inout/excel.py
index b1b7a57c2..0cd27d03f 100644
--- a/larray/inout/excel.py
+++ b/larray/inout/excel.py
@@ -280,15 +280,34 @@ def _fill_slice(s, length):
         return slice(s.start if s.start is not None else 0, s.stop if s.stop is not None else length, s.step)
 
 
-    def _concrete_key(key, shape):
+    def _concrete_key(key, obj, ndim=2):
+        """Expand key to ndim and replace None in slices start/stop bounds by 0 or obj.shape[corresponding_dim]
+        respectively.
+
+        Parameters
+        ----------
+        key : scalar, slice or tuple
+            input key
+        obj : object
+            any object with a 'shape' attribute.
+        ndim : int
+            number of dimensions to expand to. We could use len(obj.shape) instead but we avoid it to not trigger
+            obj.shape, which can be expensive in the case of a sheet with blank cells after the data.
+        """
         if not isinstance(key, tuple):
             key = (key,)
 
-        if len(key) < len(shape):
-            key = key + (slice(None),) * (len(shape) - len(key))
+        if len(key) < ndim:
+            key = key + (slice(None),) * (ndim - len(key))
+
+        # only compute shape if necessary because it can be expensive in some cases
+        if any(isinstance(k, slice) and k.stop is None for k in key):
+            shape = obj.shape
+        else:
+            shape = (None, None)
 
-        # We do not use slice(*k.indices(length)) because it also clips bounds which exceed the length, which we do not
-        # want in this case (see issue #273).
+        # We use _fill_slice instead of slice(*k.indices(length)) because the later also clips bounds which exceed
+        # the length and we do NOT want to do that in this case (see issue #273).
         return [_fill_slice(k, length) if isinstance(k, slice) else k
                 for k, length in zip(key, shape)]
 
@@ -305,7 +324,7 @@ def __getitem__(self, key):
             if isinstance(key, string_types):
                 return Range(self, key)
 
-            row, col = _concrete_key(key, self.shape)
+            row, col = _concrete_key(key, self)
             if isinstance(row, slice) or isinstance(col, slice):
                 row1, row2 = (row.start, row.stop) if isinstance(row, slice) else (row, row + 1)
                 col1, col2 = (col.start, col.stop) if isinstance(col, slice) else (col, col + 1)
@@ -447,7 +466,7 @@ def _range_key_to_sheet_key(self, key):
             assert not isinstance(key, string_types)
             row_offset = self.xw_range.row1 - 1
             col_offset = self.xw_range.col1 - 1
-            row, col = _concrete_key(key, self.xw_range.shape)
+            row, col = _concrete_key(key, self.xw_range)
             row = slice(row.start + row_offset, row.stop + row_offset) if isinstance(row, slice) else row + row_offset
             col = slice(col.start + col_offset, col.stop + col_offset) if isinstance(col, slice) else col + col_offset
             return row, col

From aa16e40667707f2311c29494904396b12dd082b4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 23 Oct 2017 17:17:36 +0200
Subject: [PATCH 812/899] fix #485: fixed LArray.split_axes with sep != '_' or
 when split labels are ambiguous

---
 doc/source/changes/version_0_26_1.rst.inc |  3 +++
 larray/core/array.py                      | 10 ++++++---
 larray/core/axis.py                       |  1 +
 larray/tests/test_array.py                | 26 +++++++++++++++--------
 4 files changed, 28 insertions(+), 12 deletions(-)

diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
index 26ae8f6f7..5c4248973 100644
--- a/doc/source/changes/version_0_26_1.rst.inc
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -8,3 +8,6 @@ Fixes
 -----
 
 * fixed reading from and writing to Excel sheets with 16384 columns or 1048576 rows (Excel's maximum).
+
+* fixed LArray.split_axes using a custom separator and not using sort=True or when the split labels are
+  ambiguous with labels from other axes (closes :issue:`485`).
diff --git a/larray/core/array.py b/larray/core/array.py
index be401620a..ffb1e8e0f 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6556,9 +6556,13 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None, sort=False, fil
                     res = empty(new_axes, dtype=array.dtype)
                 else:
                     res = full(new_axes, fill_value=fill_value, dtype=common_type((array, fill_value)))
-                if names is not None:
-                    # make sure we broadcast correctly
-                    array = array.rename(axis, sep.join(names))
+                if names is None:
+                    names = axis.name.split(sep)
+                # Rename axis to make sure we broadcast correctly. We should NOT use sep here, but rather '_' must be
+                # kept in sync with the default sep of _bool_key_new_axes
+                new_axis_name = '_'.join(names)
+                if new_axis_name != axis.name:
+                    array = array.rename(axis, new_axis_name)
                 res.points[split_labels] = array
                 array = res
         return array
diff --git a/larray/core/axis.py b/larray/core/axis.py
index b7a63a585..d830b2462 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -327,6 +327,7 @@ def split(self, sep='_', names=None, regex=None, return_labels=False):
         # not using np.unique because we want to keep the original order
         split_axes = [Axis(unique_list(ax_labels), name) for ax_labels, name in zip(indexing_labels, names)]
         if return_labels:
+            indexing_labels = tuple(axis[labels] for axis, labels in zip(split_axes, indexing_labels))
             return split_axes, indexing_labels
         else:
             return split_axes
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 81a90942f..c8bce0b63 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3852,24 +3852,27 @@ def test_combine_axes(self):
     def test_split_axes(self):
         # split one axis
         # ==============
+
+        # default sep
         arr = ndtest((2, 3, 4, 5))
-        comb = arr.combine_axes(('b', 'd'))
-        self.assertEqual(comb.axes.names, ['a', 'b_d', 'c'])
-        # default delimiter '_'
-        res = comb.split_axes('b_d')
+        combined = arr.combine_axes(('b', 'd'))
+        self.assertEqual(combined.axes.names, ['a', 'b_d', 'c'])
+        res = combined.split_axes('b_d')
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
-        self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
         assert_array_equal(res.transpose('a', 'b', 'c', 'd'), arr)
+
         # regex
-        names = ['b', 'd']
-        regex = '(\w+)_(\w+)'
-        res = comb.split_axes('b_d', names=names, regex=regex)
+        res = combined.split_axes('b_d', names=['b', 'd'], regex='(\w+)_(\w+)')
         self.assertEqual(res.axes.names, ['a', 'b', 'd', 'c'])
-        self.assertEqual(res.size, arr.size)
         self.assertEqual(res.shape, (2, 3, 5, 4))
         assert_array_equal(res.transpose('a', 'b', 'c', 'd'), arr)
 
+        # custom sep
+        combined = ndrange('a|b=a0|b0,a0|b1')
+        res = combined.split_axes(sep='|')
+        assert_array_equal(res, ndrange('a=a0;b=b0,b1'))
+
         # split several axes at once
         # ==========================
         arr = ndrange('a_b=a0_b0..a1_b2; c=c0..c3; d=d0..d3; e_f=e0_f0..e2_f1')
@@ -3950,6 +3953,11 @@ def test_split_axes(self):
         expected['a1', 'b0'] = np.nan
         assert_array_nan_equal(combined_partial.split_axes('a_b'), expected)
 
+        # split labels are ambiguous (issue #485)
+        combined = ndrange('a_b=a0_b0..a1_b1;c_d=a0_b0..a1_b1')
+        expected = ndrange('a=a0,a1;b=b0,b1;c=a0,a1;d=b0,b1')
+        assert_array_equal(combined.split_axes(('a_b', 'c_d')), expected)
+
     def test_stack(self):
         # simple
         arr0 = ndtest(3)

From 4535125724426369e8bb4e60cf91dc4c2cee8b9e Mon Sep 17 00:00:00 2001
From: siddhugolu <siddhugolu@gmail.com>
Date: Mon, 23 Oct 2017 19:50:55 +0530
Subject: [PATCH 813/899] fix #481 renamed data.h5 to demography.h5 and updated
 example.py

---
 larray/example.py                            |   2 +-
 larray/tests/data/{data.h5 => demography.h5} | Bin
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename larray/tests/data/{data.h5 => demography.h5} (100%)

diff --git a/larray/example.py b/larray/example.py
index 7289d81b3..cf533f4df 100644
--- a/larray/example.py
+++ b/larray/example.py
@@ -5,7 +5,7 @@
 
 EXAMPLE_FILES_DIR = os.path.dirname(__file__) + '/tests/data/'
 AVAILABLE_EXAMPLE_DATA = {
-    'demography' : EXAMPLE_FILES_DIR + 'data.h5'
+    'demography' : os.path.join(EXAMPLE_FILES_DIR, 'demography.h5')
 }
 
 
diff --git a/larray/tests/data/data.h5 b/larray/tests/data/demography.h5
similarity index 100%
rename from larray/tests/data/data.h5
rename to larray/tests/data/demography.h5

From 26aa305a0d14e64c80a4ed68059a82451247c611 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Oct 2017 14:48:16 +0200
Subject: [PATCH 814/899] fix #495: fixed reading 1D arrays with non-string
 labels

* added test for reading a csv file from a StringIO object
* simplified some test files: test1d.csv, test2d.csv and test3d.csv
---
 doc/source/changes/version_0_26_1.rst.inc |  2 ++
 larray/inout/array.py                     |  2 ++
 larray/tests/test1d.csv                   |  2 +-
 larray/tests/test2d.csv                   |  9 +++-----
 larray/tests/test3d.csv                   | 20 ++++++++---------
 larray/tests/test_array.py                | 27 ++++++++++-------------
 6 files changed, 29 insertions(+), 33 deletions(-)

diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
index 5c4248973..14e6cc50c 100644
--- a/doc/source/changes/version_0_26_1.rst.inc
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -11,3 +11,5 @@ Fixes
 
 * fixed LArray.split_axes using a custom separator and not using sort=True or when the split labels are
   ambiguous with labels from other axes (closes :issue:`485`).
+
+* fixed reading 1D arrays with non-string labels (closes :issue:`495`).
diff --git a/larray/inout/array.py b/larray/inout/array.py
index b03d76a8c..735d6ef07 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -234,6 +234,8 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
     # handle 1D
     if len(df) == 1 and (pd.isnull(df.index.values[0]) or
                              (isinstance(df.index.values[0], basestring) and df.index.values[0].strip() == '')):
+        if parse_header:
+            df.columns = pd.Index([parse(cell) for cell in df.columns.values], name=df.columns.name)
         series = df.iloc[0]
         series.name = df.index.name
         return from_series(series, sort_rows=sort_rows)
diff --git a/larray/tests/test1d.csv b/larray/tests/test1d.csv
index f711ce0f9..b7f741243 100644
--- a/larray/tests/test1d.csv
+++ b/larray/tests/test1d.csv
@@ -1,2 +1,2 @@
 time,2007,2010,2013
-,3722,3395,3347
\ No newline at end of file
+,0,1,2
diff --git a/larray/tests/test2d.csv b/larray/tests/test2d.csv
index 7e83b7465..99fb4a754 100644
--- a/larray/tests/test2d.csv
+++ b/larray/tests/test2d.csv
@@ -1,6 +1,3 @@
-age\time,2007,2010,2013
-0,3722,3395,3347
-1,338,316,323
-2,2878,2791,2822
-3,1121,1037,976
-4,4073,4161,4429
+a\b,0,1,2
+0,0,1,2
+1,3,4,5
diff --git a/larray/tests/test3d.csv b/larray/tests/test3d.csv
index 8242ad069..993846f6d 100644
--- a/larray/tests/test3d.csv
+++ b/larray/tests/test3d.csv
@@ -1,11 +1,9 @@
-age,sex\time,2007,2010,2013
-0,F,3722,3395,3347
-0,H,338,316,323
-1,F,2878,2791,2822
-1,H,1121,1037,976
-2,F,4073,4161,4429
-2,H,1561,1463,1467
-3,F,3507,3741,3366
-3,H,2052,2052,2118
-4,F,4807,4868,4852
-4,H,3785,3508,3172
+age,sex\time,2015,2016,2017
+0,F,0.5,1.5,2.5
+0,M,3.5,4.5,5.5
+1,F,6.5,7.5,8.5
+1,M,9.5,10.5,11.5
+2,F,12.5,13.5,14.5
+2,M,15.5,16.5,17.5
+3,F,18.5,19.5,20.5
+3,M,21.5,22.5,23.5
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index c8bce0b63..7b61af3e2 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -18,6 +18,7 @@
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, from_frame, sequence, nan_equal)
 from larray.core.axis import _to_ticks, _to_key
+from larray.util.misc import StringIO
 
 
 class TestValueStrings(TestCase):
@@ -2455,23 +2456,15 @@ def test_from_string(self):
         assert_array_equal(res, expected)
 
     def test_read_csv(self):
-        la = read_csv(abspath('test1d.csv'))
-        self.assertEqual(la.ndim, 1)
-        self.assertEqual(la.shape, (3,))
-        self.assertEqual(la.axes.names, ['time'])
-        assert_array_equal(la, [3722, 3395, 3347])
+        res = read_csv(abspath('test1d.csv'))
+        assert_array_equal(res, ndrange('time=2007,2010,2013'))
 
-        la = read_csv(abspath('test2d.csv'))
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', 'time'])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
+        res = read_csv(abspath('test2d.csv'))
+        assert_array_equal(res, ndrange('a=0,1;b=0,1,2'))
 
-        la = read_csv(abspath('test3d.csv'))
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (5, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+        res = read_csv(abspath('test3d.csv'))
+        expected = ndrange('age=0..3;sex=F,M;time=2015..2017') + 0.5
+        assert_array_equal(res, expected)
 
         la = read_csv(abspath('test5d.csv'))
         self.assertEqual(la.ndim, 5)
@@ -2499,6 +2492,10 @@ def test_read_csv(self):
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
+        # test StringIO
+        res = read_csv(StringIO('a,1,2\n,0,1\n'))
+        assert_array_equal(res, ndrange('a=1,2'))
+
     def test_read_eurostat(self):
         la = read_eurostat(abspath('test5d_eurostat.csv'))
         self.assertEqual(la.ndim, 5)

From 31272f27d9ad0f519ef7af04856e79ecb41da998 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Oct 2017 15:47:12 +0200
Subject: [PATCH 815/899] fixed from_series(sort_rows=False)

added test for from_series
---
 larray/inout/array.py      |  9 ++++-----
 larray/tests/test_array.py | 12 ++++++++++++
 2 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/larray/inout/array.py b/larray/inout/array.py
index 735d6ef07..683dbb1d6 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -82,8 +82,7 @@ def from_series(s, sort_rows=False):
     s : Pandas Series
         Input Pandas Series.
     sort_rows : bool, optional
-        Whether or not to sort the rows alphabetically (sorting is more efficient than not sorting).
-        Defaults to False.
+        Whether or not to sort the rows alphabetically. Defaults to False.
 
     Returns
     -------
@@ -92,9 +91,9 @@ def from_series(s, sort_rows=False):
     name = s.name if s.name is not None else s.index.name
     if name is not None:
         name = str(name)
-    labels = sorted(s.index.values) if sort_rows else list(s.index.values)
-    axis = Axis(labels, name)
-    return LArray(s.values, axis)
+    if sort_rows:
+        s = s.sort_index()
+    return LArray(s.values, Axis(s.index.values, name))
 
 
 def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfold_last_axis_name=False, **kwargs):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 7b61af3e2..bec122bed 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -17,6 +17,7 @@
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, from_frame, sequence, nan_equal)
+from larray.inout.array import from_series
 from larray.core.axis import _to_ticks, _to_key
 from larray.util.misc import StringIO
 
@@ -2680,6 +2681,17 @@ def test_from_lists(self):
                                  ['F', 'FO', 0, 0, 2]], sort_columns=True)
         assert_array_equal(sorted_arr, arr)
 
+    def test_from_series(self):
+        expected = ndtest(3)
+        s = pd.Series([0, 1, 2], index=pd.Index(['a0', 'a1', 'a2'], name='a'))
+        assert_array_equal(from_series(s), expected)
+
+        s = pd.Series([2, 0, 1], index=pd.Index(['a2', 'a0', 'a1'], name='a'))
+        assert_array_equal(from_series(s, sort_rows=True), expected)
+
+        expected = ndtest(3)[['a2', 'a0', 'a1']]
+        assert_array_equal(from_series(s), expected)
+
     def test_from_frame(self):
         # 1) data = scalar
         # ================

From 63e7c1f0ea084cd34c28839c2056d45197abb9ea Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 24 Oct 2017 16:02:46 +0200
Subject: [PATCH 816/899] fix #497: fixed read_csv(sort_columns=True) for 1D
 arrays

---
 doc/source/changes/version_0_26_1.rst.inc | 2 ++
 larray/inout/array.py                     | 4 +++-
 larray/tests/test_array.py                | 4 ++++
 3 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_26_1.rst.inc b/doc/source/changes/version_0_26_1.rst.inc
index 14e6cc50c..b56152683 100644
--- a/doc/source/changes/version_0_26_1.rst.inc
+++ b/doc/source/changes/version_0_26_1.rst.inc
@@ -13,3 +13,5 @@ Fixes
   ambiguous with labels from other axes (closes :issue:`485`).
 
 * fixed reading 1D arrays with non-string labels (closes :issue:`495`).
+
+* fixed read_csv(sort_columns=True) for 1D arrays (closes :issue:`497`).
diff --git a/larray/inout/array.py b/larray/inout/array.py
index 683dbb1d6..5fa1114a4 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -237,7 +237,9 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
             df.columns = pd.Index([parse(cell) for cell in df.columns.values], name=df.columns.name)
         series = df.iloc[0]
         series.name = df.index.name
-        return from_series(series, sort_rows=sort_rows)
+        if sort_rows:
+            raise ValueError('sort_rows=True is not valid for 1D arrays. Please use sort_columns instead.')
+        return from_series(series, sort_rows=sort_columns)
     else:
         axes_names = [decode(name, 'utf8') for name in df.index.names]
         unfold_last_axis_name = isinstance(axes_names[-1], basestring) and '\\' in axes_names[-1]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index bec122bed..48d31f6f5 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2497,6 +2497,10 @@ def test_read_csv(self):
         res = read_csv(StringIO('a,1,2\n,0,1\n'))
         assert_array_equal(res, ndrange('a=1,2'))
 
+        # sort_columns=True
+        res = read_csv(StringIO('a,a2,a0,a1\n,2,0,1\n'), sort_columns=True)
+        assert_array_equal(res, ndtest(3))
+
     def test_read_eurostat(self):
         la = read_eurostat(abspath('test5d_eurostat.csv'))
         self.assertEqual(la.ndim, 5)

From 93c4b5a8b5387e8ad0b17450ba16c3288b06ba5e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Oct 2017 10:46:01 +0200
Subject: [PATCH 817/899] lets release today

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 32f274f2c..6ba7a8623 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.26.1
 ==============
 
-In development.
+Released on 2017-10-25.
 
 .. include:: ./changes/version_0_26_1.rst.inc
 

From 83fcffc9130ecfe090ece16e57866c8e5cbb43de Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 23 Oct 2017 11:49:03 +0200
Subject: [PATCH 818/899] added changelog file for version 0.27

---
 doc/source/changes.rst                  |  8 ++++++++
 doc/source/changes/version_0_27.rst.inc | 18 ++++++++++++++++++
 2 files changed, 26 insertions(+)
 create mode 100644 doc/source/changes/version_0_27.rst.inc

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 6ba7a8623..5bcd82c3c 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.27
+============
+
+In development.
+
+.. include:: ./changes/version_0_27.rst.inc
+
+
 Version 0.26.1
 ==============
 
diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file

From d3e7180ee1acc4f89e03114ba5e0a840f512f334 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 23 Oct 2017 12:15:27 +0200
Subject: [PATCH 819/899] fix #490 : added argument reverse to methods
 labelsofsorted and indicesofsorted

---
 doc/source/changes/version_0_27.rst.inc | 24 ++++++++++++++++++---
 larray/core/array.py                    | 28 ++++++++++++++++++++-----
 2 files changed, 44 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 40d5a3454..1b83c13c9 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -3,9 +3,27 @@
 
 * added a feature (see the :ref:`miscellaneous section <misc>` for details).
 
-* added another feature.
+* added `reverse` argument to methods `indicesofsorted` and `labelsofsorted` to sort values in descending order
+  instead of ascending (default behavior):
 
-.. _misc:
+    >>> arr = LArray([[1, 5], [3, 2], [0, 4]], "nat=BE,FR,IT; sex=M,F")
+    >>> arr
+    nat\sex  M  F
+         BE  1  5
+         FR  3  2
+         IT  0  4
+    >>> arr.indicesofsorted("nat", reverse=True)
+    nat\sex  M  F
+          0  1  0
+          1  0  2
+          2  2  1
+    >>> arr.labelsofsorted("nat", reverse=True)
+    nat\sex   M   F
+          0  FR  BE
+          1  BE  IT
+          2  IT  FR
+
+  Closes :issue:`490`.
 
 Miscellaneous improvements
 --------------------------
@@ -15,4 +33,4 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed something (closes :issue:`1`).
diff --git a/larray/core/array.py b/larray/core/array.py
index ffb1e8e0f..e264c1f8f 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -3076,7 +3076,7 @@ def indexofmax(self, axis=None):
 
     posargmax = renamed_to(indexofmax, 'posargmax')
 
-    def labelsofsorted(self, axis=None, kind='quicksort'):
+    def labelsofsorted(self, axis=None, reverse=False, kind='quicksort'):
         """Returns the labels that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3086,6 +3086,8 @@ def labelsofsorted(self, axis=None, kind='quicksort'):
         ----------
         axis : int or str or Axis, optional
             Axis along which to sort. This can be omitted if array has only one axis.
+        reverse : bool, optional
+            Sort values in descending order. Defaults to False (ascending order).
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3108,18 +3110,23 @@ def labelsofsorted(self, axis=None, kind='quicksort'):
              BE  M  F
              FR  F  M
              IT  M  F
+        >>> arr.labelsofsorted(X.sex, reverse=True)
+        nat\\sex  0  1
+             BE  F  M
+             FR  M  F
+             IT  F  M
         """
         if axis is None:
             if self.ndim > 1:
-                raise ValueError("array has ndim > 1 and no axis specified for argsort")
+                raise ValueError("array has ndim > 1 and no axis specified for labelsofsorted")
             axis = self.axes[0]
         axis = self.axes[axis]
-        pos = self.indicesofsorted(axis, kind=kind)
+        pos = self.indicesofsorted(axis, reverse=reverse, kind=kind)
         return LArray(axis.labels[pos.data], pos.axes)
 
     argsort = renamed_to(labelsofsorted, 'argsort')
 
-    def indicesofsorted(self, axis=None, kind='quicksort'):
+    def indicesofsorted(self, axis=None, reverse=False, kind='quicksort'):
         """Returns the indices that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3129,6 +3136,8 @@ def indicesofsorted(self, axis=None, kind='quicksort'):
         ----------
         axis : int or str or Axis, optional
             Axis along which to sort. This can be omitted if array has only one axis.
+        reverse : bool, optional
+            Sort values in descending order. Defaults to False (ascending order).
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3151,13 +3160,22 @@ def indicesofsorted(self, axis=None, kind='quicksort'):
               0  2  1
               1  0  2
               2  1  0
+        >>> arr.indicesofsorted(X.nat, reverse=True)
+        nat\\sex  M  F
+              0  1  0
+              1  0  2
+              2  2  1
         """
         if axis is None:
             if self.ndim > 1:
-                raise ValueError("array has ndim > 1 and no axis specified for posargsort")
+                raise ValueError("array has ndim > 1 and no axis specified for indicesofsorted")
             axis = self.axes[0]
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
         data = self.data.argsort(axis_idx, kind=kind)
+        if reverse:
+            reverser = tuple(slice(None, None, -1) if i == axis_idx else slice(None)
+                             for i in range(self.ndim))
+            data = data[reverser]
         new_axis = Axis(np.arange(len(axis)), axis.name)
         return LArray(data, self.axes.replace(axis, new_axis))
 

From 009a8ac1aa8d39326cef5312922dd3c3c45e6467 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Thu, 26 Oct 2017 11:54:09 +0200
Subject: [PATCH 820/899] fix #269 : labels are checked in LArray.setitem when
 passed value is an LArray

---
 doc/source/changes/version_0_27.rst.inc | 24 +++++++++++++++++++++++-
 larray/core/array.py                    |  3 ++-
 larray/core/axis.py                     |  2 +-
 larray/tests/test_array.py              |  6 ++++++
 4 files changed, 32 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 1b83c13c9..efade2f1a 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -1,4 +1,26 @@
-New features
+Backward incompatible changes
+-----------------------------
+
+* labels are checked during array subset assignement (closes :issue:`269`):
+
+    >>> arr = ndtest(4)
+    >>> arr
+    a  a0  a1  a2  a3
+        0   1   2   3
+    >>> arr['a0,a1'] = arr['a2,a3']
+    ValueError: incompatible axes:
+    Axis(['a0', 'a1'], 'a')
+    vs
+    Axis(['a2', 'a3'], 'a')
+
+  previous behavior can be recovered through `drop_labels` or by changing labels via
+  `set_labels` or `set_axes`:
+
+    >>> arr['a0,a1'] = arr['a2,a3'].drop_labels('a')
+    >>> arr['a0,a1'] = arr['a2,a3'].set_labels('a', {'a2': 'a0', 'a3': 'a1'})
+
+
+New features
 ------------
 
 * added a feature (see the :ref:`miscellaneous section <misc>` for details).
diff --git a/larray/core/array.py b/larray/core/array.py
index e264c1f8f..7b9f3681c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -2109,6 +2109,7 @@ def __setitem__(self, key, value, collapse_slices=True):
             else:
                 axes = self._get_axes_from_translated_key(translated_key)
             value = value.broadcast_with(axes)
+            value.axes.check_compatible(axes)
 
             # replace incomprehensible error message "could not broadcast input array from shape XX into shape YY"
             # for users by "incompatible axes"
@@ -2227,7 +2228,7 @@ def set(self, value, **kwargs):
          a0   0   1   2
          a1   3  10  10
          a2   6  10  10
-        >>> arr['a1:', 'b1:'].set(ndtest((2, 2)))
+        >>> arr['a1:', 'b1:'].set(ndrange("a=a1,a2;b=b1,b2"))
         >>> arr
         a\\b  b0  b1  b2
          a0   0   1   2
diff --git a/larray/core/axis.py b/larray/core/axis.py
index d830b2462..4017c4bcd 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1644,7 +1644,7 @@ def check_compatible(self, axes):
         for i, axis in enumerate(axes):
             local_axis = self.get_by_pos(axis, i)
             if not local_axis.iscompatible(axis):
-                raise ValueError("incompatible axes:\n%r\nvs\n%r" % (axis, local_axis))
+                raise ValueError("incompatible axes:\n{!r}\nvs\n{!r}".format(axis, local_axis))
 
     def extend(self, axes, validate=True, replace_wildcards=False):
         """
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 48d31f6f5..99a1122b7 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -927,6 +927,12 @@ def test_setitem_larray(self):
                                              "being targeted".format(la2['P01'].axes - la['P01'].axes, la['P01'].axes)):
            la['P01'] = la2['P01']
 
+        # 7) incompatible labels
+        sex2 = Axis('sex=F,M')
+        la2 = LArray(self.small_data, axes=(sex2, self.lipro))
+        with pytest.raises(ValueError, match="incompatible axes:"):
+            la[:] = la2
+
     def test_setitem_ndarray(self):
         """
         tests LArray.__setitem__(key, value) where value is a raw ndarray.

From a358cec65995d226b45a7758cfb827b183608354 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 16 Oct 2017 14:42:12 +0200
Subject: [PATCH 821/899] updated release script: make_relase.py and
 next_release.py (see issue 177 for more details)

---
 make_meta_package.bat |   1 -
 make_release.py       | 638 +++++++++++++++++++++++++++++++++---------
 next_release.py       |  26 +-
 pypi.bat              |   1 -
 4 files changed, 527 insertions(+), 139 deletions(-)
 delete mode 100644 make_meta_package.bat
 delete mode 100644 pypi.bat

diff --git a/make_meta_package.bat b/make_meta_package.bat
deleted file mode 100644
index 7ac0cc5ef..000000000
--- a/make_meta_package.bat
+++ /dev/null
@@ -1 +0,0 @@
-conda metapackage larrayenv %1 --dependencies "larray ==%1" "larray-editor ==%1" "larray_eurostat ==%1" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings
diff --git a/make_release.py b/make_release.py
index 49c53ed32..49977e1b3 100644
--- a/make_release.py
+++ b/make_release.py
@@ -1,6 +1,9 @@
 #!/usr/bin/python
 # coding=utf-8
+# Release script for LArray
 # Licence: GPLv3
+# Requires:
+# * git
 from __future__ import print_function, unicode_literals
 
 import errno
@@ -11,20 +14,31 @@
 import subprocess
 import sys
 import zipfile
+import hashlib
+import urllib.request as request
 
 from datetime import date
 from os import chdir, makedirs
-from os.path import exists, getsize, abspath, dirname
+from os.path import exists, abspath, dirname
 from shutil import copytree, copy2, rmtree as _rmtree
 from subprocess import check_output, STDOUT, CalledProcessError
 
 
+PY2 = sys.version_info[0] < 3
+TMP_PATH = r"c:\tmp\larray_new_release"
+TMP_PATH_CONDA = r"c:\tmp\larray_conda_new_release"
+LARRAY_REP = 'https://github.com/liam2/larray'
+LARRAY_READTHEDOCS = "http://larray.readthedocs.io/en/stable/"
+CONDA_LARRAY_FEEDSTOCK_REP = 'https://github.com/larray-project/larray-feedstock.git'
+LARRAY_ANNOUNCE_MAILING_LIST = "larray-announce@googlegroups.com"
+LARRAY_USERS_GROUP = "larray-users@googlegroups.com"
+
 try:
     input = raw_input
 except NameError:
     pass
 
-if sys.version < '3':
+if PY2:
     import io
     # add support for encoding. Slow on Python2, but that is not a problem given what we do with it.
     open = io.open
@@ -42,13 +56,13 @@ def size2str(value):
         if value > 1024.0:
             value /= 1024.0
             unit = "Mb"
-        return "%.2f %s" % (value, unit)
+        return "{:.2f} {}".format(value, unit)
     else:
-        return "%d %s" % (value, unit)
+        return "{:d} {}".format(value, unit)
 
 
 def generate(fname, **kwargs):
-    with open('%s.tmpl' % fname) as in_f, open(fname, 'w') as out_f:
+    with open('{}.tmpl'.format(fname)) as in_f, open(fname, 'w') as out_f:
         out_f.write(in_f.read().format(**kwargs))
 
 
@@ -59,7 +73,7 @@ def _remove_readonly(function, path, excinfo):
         # retry removing
         function(path)
     else:
-        raise
+        raise Exception("Cannot remove {}".format(path))
 
 
 def rmtree(path):
@@ -69,7 +83,7 @@ def rmtree(path):
 def call(*args, **kwargs):
     try:
         res = check_output(*args, stderr=STDOUT, **kwargs)
-        if sys.version >= '3' and 'universal_newlines' not in kwargs:
+        if not PY2 and 'universal_newlines' not in kwargs:
             res = res.decode('utf8')
         return res
     except CalledProcessError as e:
@@ -90,16 +104,26 @@ def git_remote_last_rev(url, branch=None):
     """
     if branch is None:
         branch = 'refs/heads/master'
-    output = call('git ls-remote %s %s' % (url, branch))
+    output = call('git ls-remote {} {}'.format(url, branch))
     for line in output.splitlines():
         if line.endswith(branch):
             return line.split()[0]
     raise Exception("Could not determine revision number")
 
 
+def branchname(statusline):
+    """
+    computes the branch name from a "git status -b -s" line
+    ## master...origin/master
+    """
+    statusline = statusline.replace('#', '').strip()
+    pos = statusline.find('...')
+    return statusline[:pos] if pos != -1 else statusline
+
+
 def yes(msg, default='y'):
-    choices = ' (%s/%s) ' % tuple(c.capitalize() if c == default else c
-                                  for c in ('y', 'n'))
+    choices = ' ({}/{}) '.format(*tuple(c.capitalize() if c == default else c
+                                  for c in ('y', 'n')))
     answer = None
     while answer not in ('', 'y', 'n'):
         if answer is not None:
@@ -142,27 +166,62 @@ def short(rel_name):
     return rel_name[:-2] if rel_name.endswith('.0') else rel_name
 
 
+def long_release_name(release_name):
+    """
+    transforms a short release name such as 0.8 to a long one such as 0.8.0
+    >>> long_release_name('0.8')
+    '0.8.0'
+    >>> long_release_name('0.8.0')
+    '0.8.0'
+    >>> long_release_name('0.8rc1')
+    '0.8.0rc1'
+    >>> long_release_name('0.8.0rc1')
+    '0.8.0rc1'
+    """
+    dotcount = release_name.count('.')
+    if dotcount >= 2:
+        return release_name
+    assert dotcount == 1, "{} contains {} dots".format(release_name, dotcount)
+    pos = pretag_pos(release_name)
+    if pos is not None:
+        return release_name[:pos] + '.0' + release_name[pos:]
+    return release_name + '.0'
+
+
+def pretag_pos(release_name):
+    """
+    gives the position of any pre-release tag
+    >>> pretag_pos('0.8')
+    >>> pretag_pos('0.8alpha25')
+    3
+    >>> pretag_pos('0.8.1rc1')
+    5
+    """
+    # 'a' needs to be searched for after 'beta'
+    for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'):
+        match = re.search(tag + '\d+', release_name)
+        if match is not None:
+            return match.start()
+    return None
+
+
 def strip_pretags(release_name):
     """
     removes pre-release tags from a version string
-
-    >>> str(strip_pretags('0.8'))
+    >>> strip_pretags('0.8')
     '0.8'
-    >>> str(strip_pretags('0.8alpha25'))
+    >>> strip_pretags('0.8alpha25')
     '0.8'
-    >>> str(strip_pretags('0.8.1rc1'))
+    >>> strip_pretags('0.8.1rc1')
     '0.8.1'
     """
-    # 'a' needs to be searched for after 'beta'
-    for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'):
-        release_name = re.sub(tag + '\d+', '', release_name)
-    return release_name
+    pos = pretag_pos(release_name)
+    return release_name[:pos] if pos is not None else release_name
 
 
 def isprerelease(release_name):
     """
     tests whether the release name contains any pre-release tag
-
     >>> isprerelease('0.8')
     False
     >>> isprerelease('0.8alpha25')
@@ -170,121 +229,122 @@ def isprerelease(release_name):
     >>> isprerelease('0.8.1rc1')
     True
     """
-    return any(tag in release_name for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'))
+    return pretag_pos(release_name) is not None
 
 
 # -------------------- #
 # end of generic tools #
 # -------------------- #
 
+# ------------------------- #
+# specific helper functions #
+# ------------------------- #
+
+
 def relname2fname(release_name):
     short_version = short(strip_pretags(release_name))
-    return r"version_%s.rst.inc" % short_version.replace('.', '_')
+    return r"version_{}.rst.inc".format(short_version.replace('.', '_'))
 
 
-def release_changes(release_name):
-    fpath = r"doc\source\changes\\" + relname2fname(release_name)
-    with open(fpath, encoding='utf-8-sig') as f:
+def release_changes(context):
+    directory = r"doc\source\changes"
+    fname = relname2fname(context['release_name'])
+    with open(os.path.join(context['build_dir'], directory, fname), encoding='utf-8-sig') as f:
         return f.read()
 
 
-def build_doc():
-    chdir('doc')
-    call('buildall.bat')
-    chdir('..')
-
-
-def update_changelog(release_name):
-    fname = relname2fname(release_name)
+def replace_lines(fpath, changes, end="\n"):
+    """
+    Parameters
+    ----------
+    changes : list of pairs
+        List of pairs (substring_to_find, new_line).
+    """
+    with open(fpath) as f:
+        lines = f.readlines()
+        for i, line in enumerate(lines[:]):
+            for substring_to_find, new_line in changes:
+                if substring_to_find in line and not line.strip().startswith('#'):
+                    lines[i] = new_line + end
+    with open(fpath, 'w') as f:
+        f.writelines(lines)
 
-    # include version changelog in changes.rst
-    fpath = r'doc\source\changes.rst'
-    changelog_template = """{title}
-{underline}
 
-Released on {date}.
+def create_source_archive(release_name, rev):
+    call(r'git archive --format zip --output ..\larray-{}-src.zip {}'.format(release_name, rev))
 
-.. include:: {fpath}
 
+def copy_release(release_name):
+    pass
 
-"""
 
-    with open(fpath) as f:
-        lines = f.readlines()
-        title = "Version %s" % short(release_name)
-        if lines[5] == title + '\n':
-            print("changes.rst not modified (it already contains %s)" % title)
-            return
-        variables = dict(title=title,
-                         underline="=" * len(title),
-                         date=date.today().isoformat(),
-                         fpath='changes/' + fname)
-        this_version = changelog_template.format(**variables)
-        lines[5:5] = this_version.splitlines(True)
-    with open(fpath, 'w') as f:
-        f.writelines(lines)
-    with open(fpath, encoding='utf-8-sig') as f:
-        print()
-        print('\n'.join(f.read().splitlines()[:20]))
-    if no('Does the full changelog look right?'):
-        exit(1)
-    call('git commit -m "include release changes (%s) in changes.rst" %s' % (fname, fpath))
+def create_bundle_archives(release_name):
+    pass
 
 
-def run_tests():
+def check_bundle_archives(release_name):
     """
-    assumes to be in build
+    checks the bundles unpack correctly
     """
-    call('nosetests -v --with-doctest')
-
-
-def make_release(release_name=None, branch='master'):
-    if release_name is not None:
-        if 'pre' in release_name:
-            raise ValueError("'pre' is not supported anymore, use 'alpha' or 'beta' instead")
-        if '-' in release_name:
-            raise ValueError("- is not supported anymore")
-
-    # releasing from the local clone has the advantage I can prepare the
-    # release offline and only push and upload it when I get back online
-    repository = abspath(dirname(__file__))
-    s = "Using local repository at: %s !" % repository
+    makedirs('test')
+    zip_unpack('larray-{}-src.zip'.format(release_name), r'test\src')
+    rmtree('test')
+
+# -------------------------------- #
+# end of specific helper functions #
+# -------------------------------- #
+
+# ----- #
+# steps #
+# ----- #
+
+def check_local_repo(context):
+    # releasing from the local clone has the advantage we can prepare the
+    # release offline and only push and upload it when we get back online
+    s = "Using local repository at: {repository} !".format(**context)
     print("\n", s, "\n", "=" * len(s), "\n", sep='')
 
-    status = call('git status -s')
+    status = call('git status -s -b')
     lines = status.splitlines()
+    statusline, lines = lines[0], lines[1:]
+    curbranch = branchname(statusline)
+    if curbranch != context['branch']:
+        print("{branch} is not the current branch ({curbranch}). "
+              "Please use 'git checkout {branch}'.".format(**context, curbranch=curbranch))
+        exit(1)
+
     if lines:
-        uncommited = sum(1 for line in lines if line.startswith(' M'))
+        uncommited = sum(1 for line in lines if line[1] in 'MDAU')
         untracked = sum(1 for line in lines if line.startswith('??'))
-        print('Warning: there are %d files with uncommitted changes and %d untracked files:' % (uncommited, untracked))
-        print(status)
+        print('Warning: there are {:d} files with uncommitted changes and '
+              '{:d} untracked files:'.format(uncommited, untracked))
+        print('\n'.join(lines))
         if no('Do you want to continue?'):
             exit(1)
 
-    ahead = call('git log --format=format:%%H origin/%s..%s' % (branch, branch))
+    ahead = call('git log --format=format:%%H origin/{branch}..{branch}'.format(**context))
     num_ahead = len(ahead.splitlines())
-    print("Branch '%s' is %d commits ahead of 'origin/%s'" % (branch, num_ahead, branch), end='')
+    print("Branch '{branch}' is {num_ahead:d} commits ahead of 'origin/{branch}'"
+          .format(**context, num_ahead=num_ahead), end='')
     if num_ahead:
         if yes(', do you want to push?'):
             do('Pushing changes', call, 'git push')
     else:
         print()
 
-    rev = git_remote_last_rev(repository, 'refs/heads/%s' % branch)
+    if no('Release version {release_name} ({rev})?'.format(**context)):
+        exit(1)
 
-    public_release = release_name is not None
-    if release_name is None:
-        # take first 7 digits of commit hash
-        release_name = rev[:7]
 
-    if no('Release version %s (%s)?' % (release_name, rev)):
-        exit(1)
+def create_tmp_directory(context):
+    tmp_dir = context['tmp_dir']
+    if exists(tmp_dir):
+        rmtree(tmp_dir)
+    makedirs(tmp_dir)
 
-    chdir(r'c:\tmp')
-    if exists('larray_new_release'):
-        rmtree('larray_new_release')
-    makedirs('larray_new_release')
-    chdir('larray_new_release')
+
+def clone_repository(context):
+    chdir(context['tmp_dir'])
 
     # make a temporary clone in /tmp. The goal is to make sure we do not include extra/unversioned files. For the -src
     # archive, I don't think there is a risk given that we do it via git, but the risk is there for the bundles
@@ -294,12 +354,13 @@ def make_release(release_name=None, branch='master'):
     # by updating the temporary clone then push twice: first from the temporary clone to the "working copy clone" (eg
     # ~/devel/project) then to GitHub from there. The alternative to modify the "working copy clone" directly is worse
     # because it needs more complicated path handling that the 2 push approach.
-    do('Cloning', call, 'git clone -b %s %s build' % (branch, repository))
+    do('Cloning repository', call, 'git clone -b {branch} {repository} build'.format(**context))
+
 
-    # ---------- #
-    chdir('build')
-    # ---------- #
+def check_clone(context):
+    chdir(context['build_dir'])
 
+    # check last commit
     print()
     print(call('git log -1'))
     print()
@@ -307,56 +368,369 @@ def make_release(release_name=None, branch='master'):
     if no('Does that last commit look right?'):
         exit(1)
 
-    if public_release:
-        print(release_changes(release_name))
+    if context['public_release']:
+        # check release changes
+        print(release_changes(context))
         if no('Does the release changelog look right?'):
             exit(1)
 
-    if public_release:
-        test_release = True
-    else:
-        test_release = yes('Do you want to test the executables after they are created?')
 
-    if test_release:
-        do('Testing release', run_tests)
+def build_exe(context):
+    pass
+
 
-    if public_release:
-        do('Updating changelog', update_changelog, release_name)
+def test_executables(context):
+    pass
 
-    do('Building doc', build_doc)
 
-    do('Creating source archive', call,
-       r'git archive --format zip --output ..\LARRAY-%s-src.zip %s' % (release_name, rev))
+def create_archives(context):
+    chdir(context['build_dir'])
 
-    # ------- #
-    chdir('..')
-    # ------- #
+    release_name = context['release_name']
+    create_source_archive(release_name, context['rev'])
 
-    if public_release:
-        if no('Is the release looking good? If so, the tag will be created and pushed.'):
-            exit(1)
+    chdir(context['tmp_dir'])
+
+    # copy_release(release_name)
+    # create_bundle_archives(release_name)
+    # check_bundle_archives(release_name)
+
+
+def run_tests():
+    """
+    assumes to be in build
+    """
+    echocall('pytest')
+
+
+def update_version(context):
+    chdir(context['build_dir'])
+    version = short(context['release_name'])
+
+    # meta.yaml
+    meta_file = r'condarecipe\larray\meta.yaml'
+    changes = [('version: ', "  version: {}".format(version)),
+               ('git_tag: ', "  git_tag: {}".format(version))]
+    replace_lines(meta_file, changes)
+
+    # __init__.py
+    init_file = r'larray\__init__.py'
+    changes = [('__version__ =', "__version__ = '{}'".format(version))]
+    replace_lines(init_file, changes)
+
+    # setup.py
+    setup_file = r'setup.py'
+    changes = [('VERSION =', "VERSION = '{}'".format(version))]
+    replace_lines(setup_file, changes)
+
+    # check, commit and push
+    print(call('git status -s'))
+    print(call('git diff {} {} {}'.format(meta_file, init_file, setup_file)))
+    if no('Does that last changes look right?'):
+        exit(1)
+    do('Adding', call, 'git add {} {} {}'.format(meta_file, init_file, setup_file))
+    do('Commiting', call, 'git commit -m "bump to version {}"'.format(version))
+    print(call('git log -1'))
+    do('Pushing to GitHub', call, 'git push origin {branch}'.format(**context))
+
+
+def update_changelog(context):
+    """
+    Update release date in changes.rst
+    """
+    chdir(context['build_dir'])
+
+    if not context['public_release']:
+        return
+
+    release_name = context['release_name']
+    fpath = r'doc\source\changes.rst'
+    with open(fpath) as f:
+        lines = f.readlines()
+        title = "Version {}".format(short(release_name))
+        if lines[5] != title + '\n':
+            print("changes.rst not modified (the last release is not {})".format(title))
+            return
+        release_date = lines[8]
+        if release_date != "In development.\n":
+            print('changes.rst not modified (the last release date is "{}" '
+                  'instead of "In development.", was it already released?)'.format(release_date))
+            return
+        lines[8] = "Released on {}.\n".format(date.today().isoformat())
+    with open(fpath, 'w') as f:
+        f.writelines(lines)
+    with open(fpath, encoding='utf-8-sig') as f:
+        print('\n'.join(f.read().splitlines()[:20]))
+    if no('Does the full changelog look right?'):
+        exit(1)
+    call('git commit -m "update release date in changes.rst" {}'.format(fpath))
+
+
+def update_version_conda_forge_package(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['build_dir'])
+
+    # compute sha256 of archive of current release
+    version = short(context['release_name'])
+    url = LARRAY_REP + '/archive/{version}.tar.gz'.format(version=version)
+    print('Computing SHA256 from archive {url}'.format(url=url), end=' ')
+    with request.urlopen(url) as response:
+        sha256 = hashlib.sha256(response.read()).hexdigest()
+        print('done.')
+        print('SHA256: ', sha256)
+
+    # set version and sha256 in meta.yml file
+    meta_file = r'recipe\meta.yaml'
+    changes = [('set version', '{{% set version = "{version}" %}}'.format(version=version)),
+               ('set sha256', '{{% set sha256 = "{sha256}" %}}'.format(sha256=sha256))]
+    replace_lines(meta_file, changes)
+
+    # add, commit and push
+    print(call('git status -s'))
+    print(call('git diff {meta_file}'.format(meta_file=meta_file)))
+    if no('Does that last changes look right?'):
+        exit(1)
+    do('Adding', call, 'git add {meta_file}'.format(meta_file=meta_file))
+    do('Commiting', call, 'git commit -m "bump to version {version}"'.format(version=version))
+
+
+def update_metapackage(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['repository'])
+    version = short(context['release_name'])
+    do('Updating larrayenv metapackage to version {version}'.format(version=version), call,
+       'conda metapackage larrayenv {version} --dependencies "larray =={version}" "larray-editor =={version}" '
+       '"larray_eurostat =={version}" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings'
+        .format(version=version))
+
+
+def build_doc(context):
+    chdir(context['build_dir'])
+    chdir('doc')
+    call('buildall.bat')
+
+
+def final_confirmation(context):
+    if not context['public_release']:
+        return
+
+    msg = """Is the release looking good? If so, the tag will be created and pushed, everything will be uploaded to 
+the production server. Stuff to watch out for:
+* version numbers (executable & changelog)
+* changelog
+* doc on readthedocs
+"""
+    if no(msg):
+        exit(1)
+
+
+def tag_release(context):
+    chdir(context['build_dir'])
 
-        # ---------- #
-        chdir('build')
-        # ---------- #
+    if not context['public_release']:
+        return
 
-        do('Tagging release', call, 'git tag -a v%(name)s -m "tag release %(name)s"' % {'name': release_name})
-        # push the changelog commits to the branch (usually master)
-        # and the release tag (which refers to the last commit)
-        do('Pushing to %s' % repository, call, 'git push origin %s --follow-tags' % branch)
+    call('git tag -a {release_name} -m "tag release {release_name}"'.format(**context))
 
-        # ------- #
-        chdir('..')
-        # ------- #
 
-    if public_release:
-        chdir(repository)
-        do('Pushing to GitHub', call, 'git push origin %s --follow-tags' % branch)
+def push_on_pypi(context):
+    chdir(context['build_dir'])
+
+    if not context['public_release']:
+        return
+
+    msg = """Ready to push on pypi? If so, command line 
+'python setup.py clean register sdist bdist_wheel --universal upload -r pypi' 
+will now be executed.
+"""
+    if no(msg):
+        exit(1)
+    call('python setup.py clean register sdist bdist_wheel --universal upload -r pypi')
+
+
+def pull(context):
+    if not context['public_release']:
+        return
+
+    # pull the changelog commits to the branch (usually master)
+    # and the release tag (which refers to the last commit)
+    chdir(context['repository'])
+    do('Pulling changes in {repository}'.format(**context),
+       call, 'git pull --ff-only --tags {build_dir} {branch}'.format(**context))
+
+def push(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['repository'])
+    do('Pushing main repository changes to GitHub',
+       call, 'git push origin {branch} --follow-tags'.format(**context))
+
+
+def pull_conda_forge(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['build_dir'])
+    branch = context['branch']
+    repository = context['repository'].replace('larray-project', 'conda-forge')
+    do('Rebasing from upstream {branch}'.format(**context),
+       call, "git pull --rebase {repository} {branch}".format(repository=repository, branch=branch))
+
+
+def push_conda_forge(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['build_dir'])
+    do('Pushing changes to GitHub', call, 'git push origin {branch}'.format(**context))
+
+
+def cleanup(context):
+    chdir(context['tmp_dir'])
+    rmtree('build')
+
+
+def set_context_for_conda_forge(context):
+    context['repository'] = CONDA_LARRAY_FEEDSTOCK_REP
+    context['tmp_dir'] = TMP_PATH_CONDA
+    context['build_dir'] = os.path.join(TMP_PATH_CONDA, 'build')
+
+
+def announce_new_release(context):
+    import win32com.client as win32
+    version = short(context['release_name'])
+    outlook = win32.Dispatch('outlook.application')
+    mail = outlook.CreateItem(0)
+    mail.To = LARRAY_ANNOUNCE_MAILING_LIST
+    mail.Subject = "LArray {} released".format(version)
+    mail.Body  = """\
+Hello all, 
+
+We are pleased to announce that version {version} of LArray is now available. 
+The complete description of changes including examples can be found at:
+
+{readthedocs}changes.html#version-{version_doc}
+
+
+
+As always, *any* feedback is very welcome, preferably on the larray-users 
+mailing list: {larray_users_group} (you need to register to be able to post).
+""".format(version=version, readthedocs=LARRAY_READTHEDOCS, version_doc=version.replace('.', '-'),
+           larray_users_group=LARRAY_USERS_GROUP)
+    mail.Display(True)
+
+# ------------ #
+# end of steps #
+# ------------ #
+
+steps_funcs = [
+    #########################
+    # CREATE LARRAY PACKAGE #
+    #########################
+    (check_local_repo, ''),
+    (create_tmp_directory, ''),
+    (clone_repository, ''),
+    (check_clone, ''),
+    (update_version, ''),
+    (build_exe, 'Building executables'),
+    (test_executables, 'Testing executables'),
+    (update_changelog, 'Updating changelog'),
+    (create_archives, 'Creating archives'),
+    (final_confirmation, ''),
+    (tag_release, 'Tagging release'),
+    # We used to push from /tmp to the local repository but you cannot push
+    # to the currently checked out branch of a repository, so we need to
+    # pull changes instead. However pull (or merge) add changes to the
+    # current branch, hence we make sure at the beginning of the script
+    # that the current git branch is the branch to release. It would be
+    # possible to do so without a checkout by using:
+    # git fetch {tmp_path} {branch}:{branch}
+    # instead but then it only works for fast-forward and non-conflicting
+    # changes. So if the working copy is dirty, you are out of luck.
+    (pull, ''),
+    # >>> need internet from here
+    (push, ''),
+    (push_on_pypi, 'Pushing on Pypi'),
+    # assume the tar archive for the new release exists
+    (cleanup, 'Cleaning up'),
+    #############################
+    # CREATE LARRAY METAPACKAGE #
+    #############################
+    # assume the tar archive for the new release exists
+    (update_metapackage, ''),
+    ########################################
+    # UPDATE LARRAY PACKAGE ON CONDA-FORGE #
+    ########################################
+    (set_context_for_conda_forge, 'Setting context in order to update packages on conda-forge'),
+    (create_tmp_directory, ''),
+    (clone_repository, ''),
+    (update_version_conda_forge_package, ''),
+    (pull_conda_forge, ''),
+    (push_conda_forge, ''),
+    (cleanup, 'Cleaning up'),
+    ############################################
+    # UPDATE LARRAY METAPACKAGE ON CONDA-FORGE #
+    ############################################
+    # assume larray package on conda-forge has been updated
+
+    ####################
+    # ANNOUNCE RELEASE #
+    ####################
+    (announce_new_release, 'Sending release announce email')
+]
+
+
+def make_release(release_name='dev', steps=':', branch='master'):
+    func_names = [f.__name__ for f, desc in steps_funcs]
+    if ':' in steps:
+        start, stop = steps.split(':')
+        start = func_names.index(start) if start else 0
+        # + 1 so that stop bound is inclusive
+        stop = func_names.index(stop) + 1 if stop else len(func_names)
+    else:
+        # assuming a single step
+        start = func_names.index(steps)
+        stop = start + 1
+
+    if release_name != 'dev':
+        if 'pre' in release_name:
+            raise ValueError("'pre' is not supported anymore, use 'alpha' or 'beta' instead")
+        if '-' in release_name:
+            raise ValueError("- is not supported anymore")
+
+        release_name = long_release_name(release_name)
+
+    repository = abspath(dirname(__file__))
+    rev = git_remote_last_rev(repository, 'refs/heads/{}'.format(branch))
+    public_release = release_name != 'dev'
+    if not public_release:
+        # take first 7 digits of commit hash
+        release_name = rev[:7]
+
+    context = {'branch': branch,
+               'release_name': release_name,
+               'rev': rev,
+               'repository': repository,
+               'tmp_dir': TMP_PATH,
+               'build_dir': os.path.join(TMP_PATH, 'build'),
+               'public_release': public_release}
+    for step_func, step_desc in steps_funcs[start:stop]:
+        if step_desc:
+            do(step_desc, step_func, context)
+        else:
+            step_func(context)
 
 
 if __name__ == '__main__':
-    from sys import argv
+    argv = sys.argv
+    if len(argv) < 2:
+        print("Usage: {} release_name|dev [step|startstep:stopstep] [branch]".format(argv[0]))
+        print("steps:", ', '.join(f.__name__ for f, _ in steps_funcs))
+        sys.exit()
 
-    # chdir(r'c:\tmp')
-    # chdir('larray_new_release')
     make_release(*argv[1:])
diff --git a/next_release.py b/next_release.py
index 231437190..e280c2ec3 100644
--- a/next_release.py
+++ b/next_release.py
@@ -2,12 +2,12 @@
 # encoding: utf-8
 # script to start a new release cycle
 # Licence: GPLv3
-from os.path import join
-from make_release import relname2fname, short
+from os.path import join, abspath, dirname
+from make_release import relname2fname, short, call, do, no, push, update_version
 from shutil import copy
 
 
-def add_release(release_name):
+def update_changelog(release_name):
     fname = relname2fname(release_name)
 
     # create "empty" changelog for that release
@@ -29,9 +29,9 @@ def add_release(release_name):
 
     with open(fpath) as f:
         lines = f.readlines()
-        title = "Version %s" % short(release_name)
+        title = "Version {}".format(short(release_name))
         if lines[3] == title + '\n':
-            print("changes.rst not modified (it already contains %s)" % title)
+            print("changes.rst not modified (it already contains {})".format(title))
             return
         this_version = changelog_index_template.format(title=title,
                                                        underline="=" * len(title),
@@ -39,6 +39,22 @@ def add_release(release_name):
         lines[3:3] = this_version.splitlines(True)
     with open(fpath, 'w') as f:
         f.writelines(lines)
+    with open(fpath, encoding='utf-8-sig') as f:
+        print('\n'.join(f.read().splitlines()[:20]))
+    if no('Does the full changelog look right?'):
+        exit(1)
+    call('git add {}'.format(fpath))
+
+
+def add_release(release_name, branch='master'):
+    update_changelog(release_name)
+    context = {'branch': branch,
+               'release_name': release_name+'-dev',
+               'repository': abspath(dirname(__file__)),
+               'build_dir': abspath(dirname(__file__)),
+               'public_release': True}
+    update_version(context)
+    push(context)
 
 
 if __name__ == '__main__':
diff --git a/pypi.bat b/pypi.bat
deleted file mode 100644
index 6379b33e1..000000000
--- a/pypi.bat
+++ /dev/null
@@ -1 +0,0 @@
-python setup.py clean register sdist bdist_wheel --universal upload -r pypi
\ No newline at end of file

From 80f572ad50d45c347a94f9c2617f974ad0e6f518 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 6 Nov 2017 12:51:33 +0100
Subject: [PATCH 822/899] specified pandas<0.21 in travis.yml file to avoid
 crash of Travis with version 0.21 of pandas.

---
 .travis.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.travis.yml b/.travis.yml
index 0d5c50adf..befb58011 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -46,7 +46,7 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy pandas pytables pyqt qtpy matplotlib xlrd openpyxl
+            numpy "pandas<0.21" pytables pyqt qtpy matplotlib xlrd openpyxl
             xlsxwriter pytest pytest-qt
     - source activate travisci
 

From c0b09dcf1144a73c8040a27e9f5a64e268a04455 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Sun, 5 Nov 2017 13:41:37 +0100
Subject: [PATCH 823/899] fix #479 : renamed Axis.translate to Axis.index

---
 doc/source/api.rst                      |  2 +-
 doc/source/changes/version_0_27.rst.inc |  8 +++++++-
 larray/core/array.py                    |  8 ++++----
 larray/core/axis.py                     | 16 +++++++++-------
 larray/tests/test_axis.py               |  4 ++--
 5 files changed, 23 insertions(+), 15 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index f12ff7483..ecbc790bb 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -42,7 +42,7 @@ Searching
 .. autosummary::
    :toctree: _generated/
 
-   Axis.translate
+   Axis.index
    Axis.containing
    Axis.startingwith
    Axis.endingwith
diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index efade2f1a..82dfff88a 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -1,4 +1,10 @@
-Backward incompatible changes
+Syntax changes
+--------------
+
+* renamed `Axis.translate` to `Axis.index` (closes :issue:`479`).
+
+
+Backward incompatible changes
 -----------------------------
 
 * labels are checked during array subset assignement (closes :issue:`269`):
diff --git a/larray/core/array.py b/larray/core/array.py
index 7b9f3681c..d482a8945 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1754,7 +1754,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         if isinstance(axis_key, LGroup) and axis_key.axis is not None:
             real_axis = self.axes[axis_key.axis]
             try:
-                axis_pos_key = real_axis.translate(axis_key, bool_passthrough)
+                axis_pos_key = real_axis.index(axis_key, bool_passthrough)
             except KeyError:
                 raise ValueError("%r is not a valid label for any axis" % axis_key)
             return real_axis.i[axis_pos_key]
@@ -1768,7 +1768,7 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         # TODO: use axis_key dtype to only check compatible axes
         for axis in self.axes:
             try:
-                axis_pos_key = axis.translate(axis_key, bool_passthrough)
+                axis_pos_key = axis.index(axis_key, bool_passthrough)
                 valid_axes.append(axis)
             except KeyError:
                 continue
@@ -1856,7 +1856,7 @@ def _guess_axis(self, axis_key):
         valid_axes = []
         for axis in self.axes:
             try:
-                axis.translate(axis_key)
+                axis.index(axis_key)
                 valid_axes.append(axis)
             except KeyError:
                 continue
@@ -1954,7 +1954,7 @@ def _translated_key(self, key, bool_stuff=False):
                for axis in self.axes]
 
         # IGroup -> raw positional
-        return tuple(axis.translate(axis_key, bool_passthrough=not bool_stuff)
+        return tuple(axis.index(axis_key, bool_passthrough=not bool_stuff)
                      for axis, axis_key in zip(self.axes, key))
 
     # TODO: we only need axes length => move this to AxisCollection
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 4017c4bcd..47f949ddd 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -675,7 +675,7 @@ def _is_key_type_compatible(self, key):
         # object kind can match anything
         return key_kind == label_kind or key_kind == 'O' or label_kind == 'O' or py2_str_match
 
-    def translate(self, key, bool_passthrough=True):
+    def index(self, key, bool_passthrough=True):
         """
         Translates a label key to its numerical index counterpart.
 
@@ -698,9 +698,9 @@ def translate(self, key, bool_passthrough=True):
         Examples
         --------
         >>> people = Axis(['John Doe', 'Bruce Wayne', 'Bruce Willis', 'Waldo', 'Arthur Dent', 'Harvey Dent'], 'people')
-        >>> people.translate('Waldo')
+        >>> people.index('Waldo')
         3
-        >>> people.translate(people.matching('Bruce'))
+        >>> people.index(people.matching('Bruce'))
         array([1, 2])
         """
         mapping = self._mapping
@@ -784,7 +784,7 @@ def translate(self, key, bool_passthrough=True):
                 return array_lookup2(key, self._sorted_keys, self._sorted_values)
         elif isinstance(key, ABCLArray):
             from .array import LArray
-            return LArray(self.translate(key.data), key.axes)
+            return LArray(self.index(key.data), key.axes)
         else:
             # the first mapping[key] above will cover most cases.
             # This code path is only used if the key was given in "non normalized form"
@@ -796,6 +796,8 @@ def translate(self, key, bool_passthrough=True):
                 # print("diff dtype", )
                 raise KeyError(key)
 
+    translate = renamed_to(index, 'translate')
+
     # FIXME: remove id
     @property
     def id(self):
@@ -946,7 +948,7 @@ def replace(self, old, new=None):
             assert len(old) == len(new)
         # using object dtype because new labels length can be larger than the fixed str length in the self.labels array
         labels = self.labels.astype(object)
-        indices = self.translate(old)
+        indices = self.index(old)
         labels[indices] = new
         return Axis(labels, self.name)
 
@@ -1993,7 +1995,7 @@ def translate_full_key(self, key):
         (slice(None, None, None), 1, 2)
         """
         assert len(key) == len(self)
-        return tuple(axis.translate(axis_key) for axis_key, axis in zip(key, self))
+        return tuple(axis.index(axis_key) for axis_key, axis in zip(key, self))
 
     @property
     def labels(self):
@@ -2515,7 +2517,7 @@ def __init__(self, name):
         self._labels = None
         self._iswildcard = False
 
-    def translate(self, key):
+    def index(self, key):
         raise NotImplementedError("an AxisReference (X.) cannot translate labels")
 
     def __repr__(self):
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 9f8da9162..5f66013bf 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -106,8 +106,8 @@ def test_translate(self):
         # an axis with labels having the object dtype
         a = Axis(np.array(["a0", "a1"], dtype=object), 'a')
 
-        self.assertEqual(a.translate('a1'), 1)
-        self.assertEqual(a.translate('a1 >> A1'), 1)
+        self.assertEqual(a.index('a1'), 1)
+        self.assertEqual(a.index('a1 >> A1'), 1)
 
     def test_getitem_lgroup_keys(self):
         def group_equal(g1, g2):

From 1eefc9da46bd288ecb7b256050344781eb3701b2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 10 Nov 2017 16:50:32 +0100
Subject: [PATCH 824/899] fixed an obscure bug in Session.binops

session1 binop session2 returned NotImplemented instead of nan for
   arrays present in session2 but not session1
This should become more relevant when we implement #514 and #515

Note that this is too obscure IMO to mention in the changelog.
---
 larray/core/session.py |  9 ++++++++-
 larray/util/misc.py    | 15 +++++++++++++++
 2 files changed, 23 insertions(+), 1 deletion(-)

diff --git a/larray/core/session.py b/larray/core/session.py
index 2648d4745..ec866ae95 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -10,7 +10,7 @@
 
 from larray.core.axis import Axis
 from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, sequence
-from larray.util.misc import float_error_handler_factory, is_interactive_interpreter, renamed_to
+from larray.util.misc import float_error_handler_factory, is_interactive_interpreter, renamed_to, inverseop
 from larray.inout.session import check_pattern, handler_classes, ext_default_engine
 
 
@@ -662,6 +662,13 @@ def opmethod(self, other):
                     # TypeError for str arrays, ValueError for incompatible axes, ...
                     except Exception:
                         res_array = np.nan
+                    # this should only ever happen when self_array is a non Array (eg. nan)
+                    if res_array is NotImplemented:
+                        try:
+                            res_array = getattr(other_array, '__%s__' % inverseop(opname))(self_array)
+                        # TypeError for str arrays, ValueError for incompatible axes, ...
+                        except Exception:
+                            res_array = np.nan
                     res.append((name, res_array))
             return Session(res)
         opmethod.__name__ = opfullname
diff --git a/larray/util/misc.py b/larray/util/misc.py
index c72d0d975..9e6774c07 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -625,3 +625,18 @@ def wrapper(*args, **kwargs):
         warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
         return newfunc(*args, **kwargs)
     return wrapper
+
+
+def inverseop(opname):
+    comparison_ops = {
+        'lt': 'gt',
+        'gt': 'lt',
+        'le': 'ge',
+        'ge': 'le',
+        'eq': 'eq',
+        'ne': 'ne'
+    }
+    if opname in comparison_ops:
+        return comparison_ops[opname]
+    else:
+        return 'r' + opname

From 3ebcd92ca0228446d6399bc04e8a002912cc9203 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 10 Nov 2017 14:15:52 +0100
Subject: [PATCH 825/899] added changelog for editor changes
 (larray-project/larray-editor#116)

---
 doc/source/changes/version_0_27.rst.inc | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 82dfff88a..e00195fe5 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -53,12 +53,16 @@ New features
 
   Closes :issue:`490`.
 
+
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* made the editor more responsive when switching to or changing the filter of large arrays (closes :issue:`93`).
+
+* added support for coloring numeric values for object arrays (e.g. arrays containing both strings and numbers).
+
 
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
+* fixed array values being editable in view() (instead of only in edit()).

From 19a366cef89ccbc5acf80f269aaeb5266ad013b2 Mon Sep 17 00:00:00 2001
From: alixdamman <ald@plan.be>
Date: Tue, 14 Nov 2017 15:23:24 +0100
Subject: [PATCH 826/899] fix #174 and fix #500 : updated links in "Get In
 Touch" section of README (Google groups) + added subscribe form

---
 README.rst           | 10 ++++++----
 doc/source/index.rst | 27 +++++++++++++++++++++------
 doc/source/intro.rst |  6 ------
 3 files changed, 27 insertions(+), 16 deletions(-)
 delete mode 100644 doc/source/intro.rst

diff --git a/README.rst b/README.rst
index f6a1e555a..b9beae556 100644
--- a/README.rst
+++ b/README.rst
@@ -136,11 +136,13 @@ The official documentation is hosted on ReadTheDocs at http://larray.readthedocs
 Get in touch
 ============
 
-- Report bugs, suggest features or view the source code `on GitHub`_.
-- For questions, ideas or general discussion, use the `mailing list`_.
+- To be informed of each new release, please subscribe to the announce `mailing list`_.
+- For questions, ideas or general discussion, please use the `Google Users Group`_.
+- To report bugs, suggest features or view the source code, please go to our `GitHub website`_.
 
-.. _on GitHub: http://github.com/liam2/larray
-.. _mailing list: https://groups.google.com/forum/#!forum/larray
+.. _mailing list: https://groups.google.com/d/forum/larray-announce
+.. _Google Users Group: https://groups.google.com/d/forum/larray-users
+.. _GitHub website: http://github.com/liam2/larray
 
 .. end-readme-file
 
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 6d59405b1..6c341486a 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -6,16 +6,31 @@
 N-dimensional labelled arrays
 =============================
 
-.. include:: intro.rst
+.. include:: ../../README.rst
+   :start-after: start-intro:
+   :end-before: start-install:
 
-Documentation
-=============
+.. image:: _static/editor.png
+    :align: center
+
+.. include:: ../../README.rst
+   :start-after: start-documentation:
+   :end-before: end-readme-file
 
-For answers you do not find in the documentation, use the `mailing list`_.
+.. raw:: html
 
-.. _mailing list: https://groups.google.com/forum/#!forum/larray
+   <p>
+   You can subscribe to the announce mailing list by entering your email address here
+   (if you are connected to your Google account but you want to subscribe using another address,
+    please log out first):
+   </p>
+   <form action="https://groups.google.com/group/larray-announce/boxsubscribe">
+   <input type="text" name="email:" id="subscribe-email"/>
+   <input type="submit" name="sub" value="Subscribe">
+   </form>
 
-Contents:
+Contents
+========
 
 .. toctree::
    :maxdepth: 2
diff --git a/doc/source/intro.rst b/doc/source/intro.rst
deleted file mode 100644
index 21ffc6cc1..000000000
--- a/doc/source/intro.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-.. include:: ../../README.rst
-   :start-after: start-intro:
-   :end-before: start-install:
-
-.. image:: _static/editor.png
-    :align: center

From 1e3eecb5668775a2d00b4274ad3a888ee6af949b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 16 Nov 2017 14:16:23 +0100
Subject: [PATCH 827/899] "bump to version 0.28-dev"

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/changes.rst       | 8 ++++++++
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 4 files changed, 12 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index d869eafe3..93d89f830 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.26.1
+  version: 0.28-dev
 
 source:
-  git_tag: 0.26.1
+  git_tag: 0.28-dev
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5bcd82c3c..24aa5c573 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.28
+============
+
+In development.
+
+.. include:: ./changes/version_0_28.rst.inc
+
+
 Version 0.27
 ============
 
diff --git a/larray/__init__.py b/larray/__init__.py
index 5afcd2a57..5f8ebb149 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = "0.26.1"
+__version__ = '0.28-dev'
diff --git a/setup.py b/setup.py
index 275b19b86..2598c6b79 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.26.1'
+VERSION = '0.28-dev'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 6bdd8bee72441686ad4bf027b25dabf2247dca17 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Sun, 5 Nov 2017 14:03:29 +0100
Subject: [PATCH 828/899] updated docstring of LArray.sort_axes

---
 larray/core/array.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index d482a8945..ec1ede61f 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1660,7 +1660,7 @@ def sort_axes(self, axes=None, reverse=False):
         Parameters
         ----------
         axes : axis reference (Axis, str, int) or list of them
-            Axis to sort. If None, sorts all axes.
+            Axis to sort. Defaults to all axes.
         reverse : bool
             Descending sort (default: False -- ascending)
 

From ddc42b2fc4eacacf5728bea29623a60ffda78f48 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Sun, 5 Nov 2017 14:02:43 +0100
Subject: [PATCH 829/899] * fix #225 : added axis argument to
 LArray.sort_values. * fix #478 : implemented LArray.sort_values() (i.e. no
 argument passed).

---
 doc/source/changes/version_0_27.rst.inc |  36 ++++++
 larray/core/array.py                    | 151 ++++++++++++++++--------
 larray/tests/test_array.py              |  15 +++
 3 files changed, 153 insertions(+), 49 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index e00195fe5..90d9e526f 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -57,6 +57,42 @@ New features
 Miscellaneous improvements
 --------------------------
 
+* allowed to sort values of an array along an axis (closes :issue:`225`):
+    >>> a = LArray([[10, 2, 4], [3, 7, 1]], "sex=M,F; nat=EU,FO,BE")
+    >>> a
+    sex\nat  EU  FO  BE
+          M  10   2   4
+          F   3   7   1
+    >>> a.sort_values(axis='sex')
+    sex*\nat  EU  FO  BE
+           0   3   2   1
+           1  10   7   4
+    >>> a.sort_values(axis='nat')
+    sex\nat*  0  1   2
+           M  2  4  10
+           F  1  3   7
+
+* method `LArray.sort_values` can be called without argument (closes :issue:`478`):
+
+    >>> arr = LArray([0, 1, 6, 3, -1], "a=a0..a4")
+    >>> arr
+    a  a0  a1  a2  a3  a4
+        0   1   6   3  -1
+    >>> arr.sort_values()
+    a  a4  a0  a1  a3  a2
+       -1   0   1   3   6
+
+  If the array has more than one dimension, axes are combined together:
+
+    >>> a = LArray([[10, 2, 4], [3, 7, 1]], "sex=M,F; nat=EU,FO,BE")
+    >>> a
+    sex\nat  EU  FO  BE
+          M  10   2   4
+          F   3   7   1
+    >>> a.sort_values()
+    sex_nat  F_BE  M_FO  F_EU  M_BE  F_FO  M_EU
+                1     2     3     4     7    10
+
 * made the editor more responsive when switching to or changing the filter of large arrays (closes :issue:`93`).
 
 * added support for coloring numeric values for object arrays (e.g. arrays containing both strings and numbers).
diff --git a/larray/core/array.py b/larray/core/array.py
index ec1ede61f..2521ef646 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1586,13 +1586,19 @@ def align(self, other, join='outer', fill_value=nan, axes=None):
         left_axes, right_axes = self.axes.align(other.axes, join=join, axes=axes)
         return self.reindex(left_axes, fill_value=fill_value), other.reindex(right_axes, fill_value=fill_value)
 
-    def sort_values(self, key, reverse=False):
+    def sort_values(self, key=None, axis=None, reverse=False):
         """Sorts values of the array.
 
         Parameters
         ----------
         key : scalar or tuple or Group
             Key along which to sort. Must have exactly one dimension less than ndim.
+            Cannot be used in combination with `axis` argument.
+            If both `key` and `axis` are None, sort array with all axes combined. 
+            Defaults to None.
+        axis : int or str or Axis
+            Axis along which to sort. Cannot be used in combination with `key` argument.
+            Defaults to None.
         reverse : bool, optional
             Sort values in descending order. Defaults to False (ascending order).
 
@@ -1603,55 +1609,102 @@ def sort_values(self, key, reverse=False):
 
         Examples
         --------
-        >>> sex = Axis('sex=M,F')
-        >>> nat = Axis('nat=EU,FO,BE')
-        >>> xtype = Axis('type=type1,type2')
-        >>> a = LArray([[10, 2, 4], [3, 7, 1]], [sex, nat])
-        >>> a
-        sex\\nat  EU  FO  BE
-              M  10   2   4
-              F   3   7   1
-        >>> a.sort_values('F')
-        sex\\nat  BE  EU  FO
-              M   4  10   2
-              F   1   3   7
-        >>> a.sort_values('F', reverse=True)
-        sex\\nat  FO  EU  BE
-              M   2  10   4
-              F   7   3   1
-        >>> b = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
-        ...            [sex, xtype, nat])
-        >>> b
-        sex  type\\nat  EU  FO  BE
-          M     type1  10   2   4
-          M     type2   3   7   1
-          F     type1   5   1   6
-          F     type2   2   8   9
-        >>> b.sort_values(('M', 'type2'))
-        sex  type\\nat  BE  EU  FO
-          M     type1   4  10   2
-          M     type2   1   3   7
-          F     type1   6   5   1
-          F     type2   9   2   8
+        sort the whole array (no key or axis given)
+        
+        >>> arr_1D = LArray([10, 2, 4], 'a=a0..a2')
+        >>> arr_1D
+        a  a0  a1  a2
+           10   2   4
+        >>> arr_1D.sort_values()
+        a  a1  a2  a0
+            2   4  10
+        >>> arr_2D = LArray([[10, 2, 4], [3, 7, 1]], 'a=a0,a1; b=b0..b2')
+        >>> arr_2D
+        a\\b  b0  b1  b2
+         a0  10   2   4
+         a1   3   7   1
+        >>> # if the array has more than one dimension, sort array with all axes combined
+        >>> arr_2D.sort_values()
+        a_b  a1_b2  a0_b1  a1_b0  a0_b2  a1_b1  a0_b0
+                 1      2      3      4      7     10
+                    
+        Sort along a given key
+                    
+        >>> # sort columns according to the values of the row associated with the label 'a1'
+        >>> arr_2D.sort_values('a1')
+        a\\b  b2  b0  b1
+         a0   4  10   2
+         a1   1   3   7
+        >>> arr_2D.sort_values('a1', reverse=True)
+        a\\b  b1  b0  b2
+         a0   2  10   4
+         a1   7   3   1
+        >>> arr_3D = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
+        ...            'a=a0,a1; b=b0,b1; c=c0..c2')
+        >>> arr_3D
+         a  b\\c  c0  c1  c2
+        a0   b0  10   2   4
+        a0   b1   3   7   1
+        a1   b0   5   1   6
+        a1   b1   2   8   9
+        >>> # sort columns according to the values of the row associated with the labels 'a0' and 'b1'
+        >>> arr_3D.sort_values(('a0', 'b1'))
+         a  b\\c  c2  c0  c1
+        a0   b0   4  10   2
+        a0   b1   1   3   7
+        a1   b0   6   5   1
+        a1   b1   9   2   8
+                   
+        Sort along an axis
+        
+        >>> arr_2D
+        a\\b  b0  b1  b2
+         a0  10   2   4
+         a1   3   7   1
+        >>> # sort values along axis 'a'
+        >>> # equivalent to sorting the values of each column of the array
+        >>> arr_2D.sort_values(axis='a')
+        a*\\b  b0  b1  b2
+           0   3   2   1
+           1  10   7   4
+        >>> # sort values along axis 'b'
+        >>> # equivalent to sorting the values of each row of the array
+        >>> arr_2D.sort_values(axis='b')
+        a\\b*  0  1   2
+          a0  2  4  10
+          a1  1  3   7
         """
-        subset = self[key]
-        if subset.ndim > 1:
-            raise NotImplementedError("sort_values key must have one dimension less than array.ndim")
-        assert subset.ndim == 1
-        axis = subset.axes[0]
-        indicesofsorted = subset.indicesofsorted()
-
-        # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
-        # IGroup(nat  EU  FO  BE
-        #              1   2   0, axis='nat')
-        # which sorts the *data* correctly, but the labels on the nat axis are not sorted (because the __getitem__ in
-        # that case reuse the key axis as-is -- like it should).
-        # Both use cases have value, but I think reordering the ticks should be the default. Now, I am unsure where to
-        # change this. Probably in IGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
-        # that I have now?
-        # FWIW, using .data, I get IGroup([1, 2, 0], axis='nat'), which works.
-        sorter = axis.i[indicesofsorted.data]
-        res = self[sorter]
+        if key is not None and axis is not None:
+            raise ValueError("Arguments key and axis are exclusive and cannot be used in combination")
+        if axis is not None:
+            axis = self.axes[axis]
+            axis_idx = self.axes.index(axis)
+            data = np.sort(self.data, axis_idx)
+            new_axes = self.axes.replace(axis_idx, Axis(len(axis), axis.name))
+            res = LArray(data, new_axes)
+        elif key is not None:
+            subset = self[key]
+            if subset.ndim > 1:
+                raise NotImplementedError("sort_values key must have one dimension less than array.ndim")
+            assert subset.ndim == 1
+            axis = subset.axes[0]
+            indicesofsorted = subset.indicesofsorted()
+
+            # FIXME: .data shouldn't be necessary, but currently, if we do not do it, we get
+            # IGroup(nat  EU  FO  BE
+            #              1   2   0, axis='nat')
+            # which sorts the *data* correctly, but the labels on the nat axis are not sorted (because the __getitem__ in
+            # that case reuse the key axis as-is -- like it should).
+            # Both use cases have value, but I think reordering the ticks should be the default. Now, I am unsure where to
+            # change this. Probably in IGroupMaker.__getitem__, but then how do I get the "not reordering labels" behavior
+            # that I have now?
+            # FWIW, using .data, I get IGroup([1, 2, 0], axis='nat'), which works.
+            sorter = axis.i[indicesofsorted.data]
+            res = self[sorter]
+        else:
+            res = self.combine_axes()
+            indicesofsorted = np.argsort(res.data)
+            res = res.i[indicesofsorted]
         return res[axis[::-1]] if reverse else res
 
     def sort_axes(self, axes=None, reverse=False):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 99a1122b7..f7e353d8c 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2285,6 +2285,21 @@ def test_sequence(self):
         res = sequence('b=b0..b2', ndtest(3) * 3, 1.0)
         assert_array_equal(ndtest((3, 3), dtype=float), res)
 
+    def test_sort_values(self):
+        # 1D arrays
+        arr = LArray([0, 1, 6, 3, -1], "a=a0..a4")
+        res = arr.sort_values()
+        expected = LArray([-1, 0, 1, 3, 6], "a=a4,a0,a1,a3,a2")
+        assert_array_equal(res, expected)
+
+        # 3D arrays
+        arr = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],
+                     'a=a0,a1; b=b0,b1; c=c0..c2')
+        res = arr.sort_values(axis='c')
+        expected = LArray([[[2, 4, 10], [1, 3, 7]], [[1, 5, 6], [2, 8, 9]]],
+                          [Axis('a=a0,a1'), Axis('b=b0,b1'), Axis(3, 'c')])
+        assert_array_equal(res, expected)
+
     def test_set_labels(self):
         la = self.small.copy()
         la.set_labels(X.sex, ['Man', 'Woman'], inplace=True)

From e1a88ffc1fd7bdd22f5ccb6add50de1c66e7e50c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 17 Nov 2017 15:48:19 +0100
Subject: [PATCH 830/899] fix #525 : updated Load/Dump from files section of
 the tutorial + renamed data.xlsx to demography.xlsx

---
 doc/source/tutorial.rst                          |  10 +++++-----
 larray/tests/data/{data.xlsx => demography.xlsx} | Bin
 2 files changed, 5 insertions(+), 5 deletions(-)
 rename larray/tests/data/{data.xlsx => demography.xlsx} (100%)

diff --git a/doc/source/tutorial.rst b/doc/source/tutorial.rst
index f68774021..ec18e6ebd 100644
--- a/doc/source/tutorial.rst
+++ b/doc/source/tutorial.rst
@@ -192,7 +192,7 @@ or Excel sheets (see documentation of :py:func:`read_excel` for more details)
 
     # loads array from the first sheet if no sheetname is given
     @verbatim
-    pop = read_excel(example_dir + 'data.xlsx', 'pop')
+    pop = read_excel(example_dir + 'demography.xlsx', 'pop')
 
     @suppress
     pop = read_csv(example_dir + 'pop.csv')
@@ -205,7 +205,7 @@ documentation of :py:func:`read_hdf` for more details)
 
 .. ipython:: python
 
-    mortality = read_hdf(example_dir + 'data.h5','qx')
+    mortality = read_hdf(example_dir + 'demography.h5','qx')
     mortality.info
 
 Dump in files
@@ -225,15 +225,15 @@ or in Excel files (see documentation of :py:meth:`~LArray.to_excel` for more det
 
     # if the file does not already exist, it is created with a single sheet, 
     # otherwise a new sheet is added to it
-    household.to_excel('data2.xlsx', overwrite_file=True)
+    household.to_excel('demography_2.xlsx', overwrite_file=True)
     # it is usually better to specify the sheet explicitly (by name or position) though
-    household.to_excel('data2.xlsx', 'hh')
+    household.to_excel('demography_2.xlsx', 'hh')
 
 or in HDF5 files (see documentation of :py:meth:`~LArray.to_hdf` for more details)
 
 .. ipython:: python
 
-    household.to_hdf('data2.h5', 'hh')
+    household.to_hdf('demography_2.h5', 'hh')
 
 more Excel IO
 ~~~~~~~~~~~~~
diff --git a/larray/tests/data/data.xlsx b/larray/tests/data/demography.xlsx
similarity index 100%
rename from larray/tests/data/data.xlsx
rename to larray/tests/data/demography.xlsx

From c678c0fa0436bbce8431c4fbd9db19bcc23d9fd7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 25 Oct 2017 10:54:20 +0200
Subject: [PATCH 831/899] changed from_frame parse_header default value to
 False

the spirit of from_frame is to modify the data as little as possible
---
 larray/inout/array.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/inout/array.py b/larray/inout/array.py
index 5fa1114a4..83d514b12 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -96,7 +96,7 @@ def from_series(s, sort_rows=False):
     return LArray(s.values, Axis(s.index.values, name))
 
 
-def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfold_last_axis_name=False, **kwargs):
+def from_frame(df, sort_rows=False, sort_columns=False, parse_header=False, unfold_last_axis_name=False, **kwargs):
     """
     Converts Pandas DataFrame into LArray.
 
@@ -112,7 +112,7 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=True, unfol
         Defaults to False.
     parse_header : bool, optional
         Whether or not to parse columns labels. Pandas treats column labels as strings.
-        If True, column labels are converted into int, float or boolean when possible. Defaults to True.
+        If True, column labels are converted into int, float or boolean when possible. Defaults to False.
     unfold_last_axis_name : bool, optional
         Whether or not to extract the names of the last two axes by splitting the name of the last index column of the
         dataframe using ``\\``. Defaults to False.

From 365d210a53a2b030c2fecbaa3e80e8e139b5ea33 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 10 Nov 2017 13:16:07 +0100
Subject: [PATCH 832/899] updated changelog

---
 doc/source/changes/version_0_27.rst.inc | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 90d9e526f..bbe79ae54 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -19,12 +19,13 @@ Backward incompatible changes
     vs
     Axis(['a2', 'a3'], 'a')
 
-  previous behavior can be recovered through `drop_labels` or by changing labels via
-  `set_labels` or `set_axes`:
+  previous behavior can be recovered through `drop_labels` or by changing labels via `set_labels` or `set_axes`:
 
     >>> arr['a0,a1'] = arr['a2,a3'].drop_labels('a')
     >>> arr['a0,a1'] = arr['a2,a3'].set_labels('a', {'a2': 'a0', 'a3': 'a1'})
 
+* from_frame `parse_header` argument defaults to `False` instead of `True`.
+
 
 New features
 ------------

From 24ec5896760f21fb3f6d4d2b1fbc310ab72ff3b8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 2 Nov 2017 11:14:38 +0100
Subject: [PATCH 833/899] updated changelog 0.27 --> issue 102 of larray-editor

---
 doc/source/changes/version_0_27.rst.inc | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index bbe79ae54..330c502d7 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -30,7 +30,8 @@ Backward incompatible changes
 New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+* added possibility to show only rows with differences when comparing arrays or sessions through the `compare`
+  function in the viewer (closes :editor_issue:`102`).
 
 * added `reverse` argument to methods `indicesofsorted` and `labelsofsorted` to sort values in descending order
   instead of ascending (default behavior):

From 7c8076713b0929e1b9aee8a62ea4a6818cf47893 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 7 Nov 2017 11:11:05 +0100
Subject: [PATCH 834/899] updated changelog 0.27 --> issue 88 of larray-editor

---
 doc/source/changes/version_0_27.rst.inc | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 330c502d7..b72dff61c 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -30,6 +30,13 @@ Backward incompatible changes
 New features
 ------------
 
+* added new items in Help menu:
+  - `Report Issue...`: to report an issue on the Github project website.
+  - `Users Discussion...`: redirect to the LArray Users Google Group (you need to be registered to participate).
+  - `New Releases And Announces Mailing List...`: redirect to the LArray Announce mailing list.
+  - `About`: give information about the editor and the versions of packages currently installed on your computer.
+  (closes :editor_issue:`88`)
+
 * added possibility to show only rows with differences when comparing arrays or sessions through the `compare`
   function in the viewer (closes :editor_issue:`102`).
 

From 8dca9d05ed2e5e2cf5f8da913f7abf5d947e429b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 27 Oct 2017 17:00:18 +0200
Subject: [PATCH 835/899] fixed typo in append docstring

---
 larray/core/array.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 2521ef646..b8255824e 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5395,8 +5395,8 @@ def append(self, axis, value, label=None):
         Parameters
         ----------
         axis : axis reference
-            Axis along with to append input array (`value`).
-        value : LArray
+            Axis along which to append input array (`value`).
+        value : scalar or LArray
             Array with compatible axes.
         label : str, optional
             Label for the new item in axis

From 8fc57c3375ea04004c7437379895085ba4d3a663 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Fri, 27 Oct 2017 17:05:45 +0200
Subject: [PATCH 836/899] simplified code for LArray.expand

---
 larray/core/array.py | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index b8255824e..868759cfc 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5369,21 +5369,22 @@ def expand(self, target_axes=None, out=None, readonly=False):
             if not isinstance(target_axes, AxisCollection):
                 target_axes = AxisCollection(target_axes)
             target_axes = (self.axes - target_axes) | target_axes
-        if out is None and self.axes == target_axes:
-            return self
-
-        # TODO: this is not necessary if out is not None ([:] already broadcast)
-        broadcasted = self.broadcast_with(target_axes)
-        # this can only happen if only the order of axes differed
-        if out is None and broadcasted.axes == target_axes:
-            return broadcasted
 
         if out is None:
+            # this is not strictly necessary but avoids doing this test twice if it is True
+            if self.axes == target_axes:
+                return self
+
+            broadcasted = self.broadcast_with(target_axes)
+            # this can only happen if only the order of axes differed and/or all extra axes have length 1
+            if broadcasted.axes == target_axes:
+                return broadcasted
+
             if readonly:
                 # requires numpy 1.10
                 return LArray(np.broadcast_to(broadcasted, target_axes.shape), target_axes)
             else:
-                out = LArray(np.empty(target_axes.shape, dtype=self.dtype), target_axes)
+                out = empty(target_axes, dtype=self.dtype)
         out[:] = broadcasted
         return out
 

From 353f22e508afdba02a2b7978af88f008e7a07bc7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 2 Oct 2017 08:32:34 +0200
Subject: [PATCH 837/899] implemented concat()

---
 larray/core/array.py | 67 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 67 insertions(+)

diff --git a/larray/core/array.py b/larray/core/array.py
index 868759cfc..5b250036d 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -312,6 +312,73 @@ def concat_empty(axis, arrays_axes, dtype):
                     for start, stop in zip(start_bounds, stop_bounds)]
 
 
+def concat(arrays, axis=0, dtype=None):
+    """Concatenate arrays along axis
+
+    Parameters
+    ----------
+    arrays : tuple of LArray
+        Arrays to concatenate.
+    axis : AxisReference, optional
+        Axis along which to concatenate. Defaults to the first axis.
+    dtype : dtype, optional
+        Result data type. Defaults to the "closest" type which can hold all arrays types without loss of information.
+
+    Returns
+    -------
+    LArray
+
+    Examples
+    --------
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> arr2 = ndrange('a=a0,a1;b=b3')
+    >>> arr2
+    a\\b  b3
+     a0   0
+     a1   1
+    >>> arr3 = ndrange('b=b4,b5')
+    >>> arr3
+    b  b4  b5
+        0   1
+    >>> concat((arr1, arr2, arr3), 'b')
+    a\\b  b0  b1  b2  b3  b4  b5
+     a0   0   1   2   0   0   1
+     a1   3   4   5   1   0   1
+    """
+    # Get axis by name, so that we do *NOT* check they are "compatible", because it makes sense to append axes of
+    # different length
+    name = arrays[0].axes[axis].name
+    arrays_labels = [array.axes[axis].labels for array in arrays]
+
+    # switch to object dtype if labels are of incompatible types, so that we do not implicitly convert numeric types to
+    # strings (numpy should not do this in the first place but that is another story). This can happen for example when
+    # we want to add a "total" tick to a numeric axis (eg age).
+    labels_type = common_type(arrays_labels)
+    if labels_type is object:
+        # astype always copies, while asarray only copies if necessary
+        arrays_labels = [np.asarray(labels, dtype=object) for labels in arrays_labels]
+
+    combined_axis = Axis(np.concatenate(arrays_labels), name)
+
+    # combine all axes (using labels from any side if any)
+    result_axes = arrays[0].axes.replace(axis, combined_axis).union(*[array.axes - axis for array in arrays[1:]])
+
+    if dtype is None:
+        dtype = common_type(arrays)
+
+    result = empty(result_axes, dtype=dtype)
+    start = 0
+    for labels, array in zip(arrays_labels, arrays):
+        stop = start + len(labels)
+        result[combined_axis.i[start:stop]] = array
+        start = stop
+    return result
+
+
 class LArrayIterator(object):
     def __init__(self, array):
         self.array = array

From e2d4d09b8c00ef98a52e29ccd7176965e224273a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 2 Oct 2017 14:27:08 +0200
Subject: [PATCH 838/899] implemented LArray.insert and Axis.insert (closes
 #54)

---
 doc/source/api.rst                      |   2 +
 doc/source/changes/version_0_27.rst.inc |  35 ++++
 larray/core/array.py                    | 249 ++++++++++++++++++++----
 larray/core/axis.py                     |  68 ++++++-
 larray/tests/test_array.py              |  80 ++++++++
 larray/util/misc.py                     |  33 ++++
 6 files changed, 424 insertions(+), 43 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index ecbc790bb..d9d65679a 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -60,6 +60,7 @@ Modifying/Selecting/Searching
    Axis.rename
    Axis.subaxis
    Axis.extend
+   Axis.insert
    Axis.replace
    Axis.union
    Axis.intersection
@@ -374,6 +375,7 @@ Reshaping/Extending/Reordering
    LArray.prepend
    LArray.append
    LArray.extend
+   LArray.insert
    LArray.broadcast_with
    LArray.align
 
diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index b72dff61c..9d4fa8af1 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -30,6 +30,41 @@ Backward incompatible changes
 New features
 ------------
 
+* implemented Axis.insert and LArray.insert to add values at a given position of an axis (closes :issue:`54`).
+
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> arr1.insert(42, before='b1', label='b0.5')
+    a\\b  b0  b0.5  b1  b2
+     a0   0    42   1   2
+     a1   3    42   4   5
+
+  insert an array
+
+    >>> arr2 = ndtest(2)
+    >>> arr2
+    a  a0  a1
+        0   1
+    >>> arr1.insert(arr2, after='b0', label='b0.5')
+    a\\b  b0  b0.5  b1  b2
+     a0   0     0   1   2
+     a1   3     1   4   5
+
+  insert an array which already has the axis
+
+    >>> arr3 = ndrange('a=a0,a1;b=b0.1,b0.2') + 42
+    >>> arr3
+    a\\b  b0.1  b0.2
+     a0    42    43
+     a1    44    45
+    >>> arr1.insert(arr3, before='b1')
+    a\\b  b0  b0.1  b0.2  b1  b2
+     a0   0    42    43   1   2
+     a1   3    44    45   4   5
+
 * added new items in Help menu:
   - `Report Issue...`: to report an issue on the Github project website.
   - `Users Discussion...`: redirect to the LArray Users Google Group (you need to be registered to participate).
diff --git a/larray/core/array.py b/larray/core/array.py
index 5b250036d..979cb8c0c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -15,7 +15,8 @@
 # ? implement multi group in one axis getitem: lipro['P01,P02;P05'] <=> (lipro['P01,P02'], lipro['P05'])
 
 # * we need an API to get to the "next" label. Sometimes, we want to use label+1, but that is problematic when labels
-#   are not numeric, or have not a step of 1. x.agegroup[x.agegroup.after(25):]
+#   are not numeric, or have not a step of 1. X.agegroup[X.agegroup.after(25):]
+#                                             X.agegroup[X.agegroup[25].next():]
 
 # * implement keepaxes=True for _group_aggregate instead of/in addition to group tuples
 
@@ -66,7 +67,9 @@
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, _isnoneslice, light_product, unique_list, renamed_to)
+                              float_error_handler_factory, _isnoneslice, light_product, unique_list, renamed_to,
+                              common_type)
+
 
 nan = np.nan
 
@@ -246,39 +249,6 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-_numeric_kinds = 'buifc'    # Boolean, Unsigned integer, Integer, Float, Complex
-_string_kinds = 'SU'        # String, Unicode
-_meta_kind = {k: 'str' for k in _string_kinds}
-_meta_kind.update({k: 'numeric' for k in _numeric_kinds})
-
-
-def common_type(arrays):
-    """
-    Returns a type which is common to the input arrays.
-    All input arrays can be safely cast to the returned dtype without loss of information.
-
-    Notes
-    -----
-    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object' as common type.
-    """
-    arrays = [np.asarray(a) for a in arrays]
-    dtypes = [a.dtype for a in arrays]
-    meta_kinds = [_meta_kind.get(dt.kind, 'other') for dt in dtypes]
-    # mixing string and numeric => object
-    if any(mk != meta_kinds[0] for mk in meta_kinds[1:]):
-        return object
-    elif meta_kinds[0] == 'numeric':
-        return np.find_common_type(dtypes, [])
-    elif meta_kinds[0] == 'str':
-        need_unicode = any(dt.kind == 'U' for dt in dtypes)
-        # unicode are coded with 4 bytes
-        max_size = max(dt.itemsize // 4 if dt.kind == 'U' else dt.itemsize
-                       for dt in dtypes)
-        return np.dtype(('U' if need_unicode else 'S', max_size))
-    else:
-        return object
-
-
 def concat_empty(axis, arrays_axes, dtype):
     # Get axis by name, so that we do *NOT* check they are "compatible", because it makes sense to append axes of
     # different length
@@ -319,7 +289,7 @@ def concat(arrays, axis=0, dtype=None):
     ----------
     arrays : tuple of LArray
         Arrays to concatenate.
-    axis : AxisReference, optional
+    axis : axis reference (int, str or Axis), optional
         Axis along which to concatenate. Defaults to the first axis.
     dtype : dtype, optional
         Result data type. Defaults to the "closest" type which can hold all arrays types without loss of information.
@@ -1661,7 +1631,7 @@ def sort_values(self, key=None, axis=None, reverse=False):
         key : scalar or tuple or Group
             Key along which to sort. Must have exactly one dimension less than ndim.
             Cannot be used in combination with `axis` argument.
-            If both `key` and `axis` are None, sort array with all axes combined. 
+            If both `key` and `axis` are None, sort array with all axes combined.
             Defaults to None.
         axis : int or str or Axis
             Axis along which to sort. Cannot be used in combination with `key` argument.
@@ -1677,7 +1647,7 @@ def sort_values(self, key=None, axis=None, reverse=False):
         Examples
         --------
         sort the whole array (no key or axis given)
-        
+
         >>> arr_1D = LArray([10, 2, 4], 'a=a0..a2')
         >>> arr_1D
         a  a0  a1  a2
@@ -1694,9 +1664,9 @@ def sort_values(self, key=None, axis=None, reverse=False):
         >>> arr_2D.sort_values()
         a_b  a1_b2  a0_b1  a1_b0  a0_b2  a1_b1  a0_b0
                  1      2      3      4      7     10
-                    
+
         Sort along a given key
-                    
+
         >>> # sort columns according to the values of the row associated with the label 'a1'
         >>> arr_2D.sort_values('a1')
         a\\b  b2  b0  b1
@@ -1721,9 +1691,9 @@ def sort_values(self, key=None, axis=None, reverse=False):
         a0   b1   1   3   7
         a1   b0   6   5   1
         a1   b1   9   2   8
-                   
+
         Sort along an axis
-        
+
         >>> arr_2D
         a\\b  b0  b1  b2
          a0  10   2   4
@@ -5625,6 +5595,201 @@ def extend(self, axis, other):
         other_target[:] = other
         return result
 
+    def insert(self, value, before=None, after=None, pos=None, axis=None, label=None):
+        """Inserts value in array along an axis.
+
+        Parameters
+        ----------
+        value : scalar or LArray
+            Value to insert. If an LArray, it must have compatible axes. If value already has the axis along which it
+            is inserted, `label` should not be used.
+        before : scalar or Group
+            Label or group before which to insert `value`.
+        after : scalar or Group
+            Label or group after which to insert `value`.
+        pos : int
+            Index before which to insert `value`.
+        axis : axis reference (int, str or Axis), optional
+            Axis in which to insert `value`. This is only required when using `pos` or when before or after are
+            ambiguous labels.
+        label : str, optional
+            Label for the new item in axis.
+
+        Returns
+        -------
+        LArray
+            Array with `value` inserted along `axis`. The dtype of the returned array will be the "closest" type
+            which can hold both the array values and the inserted values without loss of information. For example,
+            when mixing numeric and string types, the dtype will be object.
+
+        Examples
+        --------
+        >>> arr1 = ndtest((2, 3))
+        >>> arr1
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+        >>> arr1.insert(42, before='b1', label='b0.5')
+        a\\b  b0  b0.5  b1  b2
+         a0   0    42   1   2
+         a1   3    42   4   5
+        >>> arr2 = ndtest(2)
+        >>> arr2
+        a  a0  a1
+            0   1
+        >>> arr1.insert(arr2, after='b0', label='b0.5')
+        a\\b  b0  b0.5  b1  b2
+         a0   0     0   1   2
+         a1   3     1   4   5
+        >>> arr1.insert(42, axis='b', pos=1, label='b0.5')
+        a\\b  b0  b0.5  b1  b2
+         a0   0    42   1   2
+         a1   3    42   4   5
+        >>> arr1.insert(42, before=X.b.i[1], label='b0.5')
+        a\\b  b0  b0.5  b1  b2
+         a0   0    42   1   2
+         a1   3    42   4   5
+
+        insert an array which already has the axis
+
+        >>> arr3 = ndrange('a=a0,a1;b=b0.1,b0.2') + 42
+        >>> arr3
+        a\\b  b0.1  b0.2
+         a0    42    43
+         a1    44    45
+        >>> arr1.insert(arr3, before='b1')
+        a\\b  b0  b0.1  b0.2  b1  b2
+         a0   0    42    43   1   2
+         a1   3    44    45   4   5
+        """
+
+        # XXX: unsure we should have arr1.insert(arr3, before='b1,b2') result in (see unit tests):
+
+        # a\\b  b0  b0.1  b1  b0.2  b2
+        #  a0   0    42   1    43   2
+        #  a1   3    44   4    45   5
+
+        # we might to implement the following instead:
+
+        # a\\b  b0  b0.1  b0.2  b1  b0.1  b0.2  b2
+        #  a0   0    42    43   1    42    43   2
+        #  a1   3    44    45   4    44    45   5
+
+        # The later looks less useful and could be emulated easily via:
+        # arr1.insert([arr3, arr3], before='b1,b2')
+        # while the above is a bit harder to achieve manually:
+        # arr1.insert([arr3[[b]] for b in arr3.b], before=['b1', 'b2'])
+        # but the later is *probably* more intuitive (and wouldn't suffer from the inefficiency we currently have).
+
+        # XXX: when we have several lists, we implicitly match them by position, which we should avoid for the usual
+        # reason, but I am unsure what the best syntax for that would be.
+
+        # the goal is to get this result
+
+        # a\b  b0  b0.5  b1  b1.5  b2
+        #  a0   0     8   1     9   2
+        #  a1   3     8   4     9   5
+
+        # When the inserted arrays already contain a label, this seems reasonably readable:
+
+        # >>> arr1 = ndtest((2, 3))
+        # >>> arr1
+        # a\\b  b0  b1  b2
+        #  a0   0   1   2
+        #  a1   3   4   5
+        # >>> arr2 = full('b=b0.5', 8)
+        # >>> arr2
+        # b  b0.5
+        #       8
+        # >>> arr3 = full('b=b1.5', 9)
+        # >>> arr3
+        # b  b1.5
+        #       9
+        # >>> arr1.insert(before={'b1': arr2, 'b2': arr3})
+        # a\\b  b0  b0.5  b1  b1.5  b2
+        #  a0   0     8   1     9   2
+        #  a1   3     8   4     9   5
+
+        # When the inserted arrays/values have no label, this does not really convince me and it prevents using after
+        # or pos.
+
+        # >>> arr1.insert(value={'b0.5': ('b1', 8), 'b1.5': ('b2', 9)})
+        # a\b  b0  b0.5  b1  b1.5  b2
+        #  a0   0     8   1     9   2
+        #  a1   3     8   4     9   5
+
+        # This works with both after and pos and we could support it along with the above syntax when no label is
+        # needed. Problem: label, value is arbitrary and as such potentially hard to remember.
+
+        # >>> arr1.insert(before={'b1': ('b0.5', 8), 'b2': ('b1.5', 9)})
+        # a\b  b0  b0.5  b1  b1.5  b2
+        #  a0   0     8   1     9   2
+        #  a1   3     8   4     9   5
+
+        # This is shorter but not readable enough/even more arbitrary than the previous option.
+
+        # >>> arr1.insert([(8, 'b1', 'b0.5'), (9, 'b2', 'b1.5')])
+        # a\b  b0  b0.5  b1  b1.5  b2
+        #  a0   0     8   1     9   2
+        #  a1   3     8   4     9   5
+
+        # This is readable but odd and not much gained (except efficiency) compared with multiple insert calls
+
+        # >>> arr1.insert([(8, 'before', 'b1', 'label', 'b0.5'),
+        #                  (9, 'before', 'b2', 'label', 'b1.5')])
+        # >>> arr1.insert(8, before='b1', label='b0.5') \
+        #         .insert(9, before='b2', label='b1.5')
+        if sum([before is not None, after is not None, pos is not None]) != 1:
+            raise ValueError("must specify exactly one of before, after or pos")
+
+        axis = self.axes[axis] if axis is not None else None
+        if before is not None:
+            before = self._translate_axis_key(before) if axis is None else axis[before]
+            axis = before.axis
+            before_pos = axis.index(before)
+        elif after is not None:
+            after = self._translate_axis_key(after) if axis is None else axis[after]
+            axis = after.axis
+            before_pos = axis.index(after) + 1
+        else:
+            assert pos is not None
+            if axis is None:
+                raise ValueError("axis argument must be provided when using insert(pos=)")
+            before_pos = pos
+
+        def length(v):
+            if isinstance(v, LArray) and axis in v.axes:
+                return len(v.axes[axis])
+            else:
+                return len(v) if isinstance(v, (tuple, list, np.ndarray)) else 1
+
+        def expand(v, length):
+            return v if isinstance(v, (tuple, list, np.ndarray)) else [v] * length
+
+        num_inserts = max(length(before_pos), length(label), length(value))
+        stops = expand(before_pos, num_inserts)
+
+        if isinstance(value, LArray) and axis in value.axes:
+            # FIXME: when length(before_pos) == 1 and length(label) == 1, this is inefficient
+            values = [value[[k]] for k in value.axes[axis]]
+        else:
+            values = expand(value, num_inserts)
+        values = [aslarray(v) if not isinstance(v, LArray) else v
+                  for v in values]
+
+        if label is not None:
+            labels = expand(label, num_inserts)
+            values = [v.expand(Axis([l], axis.name), readonly=True) for v, l in zip(values, labels)]
+
+        start = 0
+        chunks = []
+        for stop, value in zip(stops, values):
+            chunks.append(self[axis.i[start:stop]])
+            chunks.append(value)
+            start = stop
+        chunks.append(self[axis.i[start:]])
+        return concat(chunks, axis)
+
     def transpose(self, *args):
         """Reorder axes.
 
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 47f949ddd..5ebfb28cc 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -14,7 +14,7 @@
                                _contain_group_ticks, _seq_group_to_name)
 from larray.util.oset import *
 from larray.util.misc import (basestring, PY2, unicode, long, duplicates, array_lookup2, ReprString, index_by_id,
-                              renamed_to)
+                              renamed_to, common_type)
 
 __all__ = ['Axis', 'AxisCollection', 'X', 'x']
 
@@ -332,6 +332,72 @@ def split(self, sep='_', names=None, regex=None, return_labels=False):
         else:
             return split_axes
 
+    def insert(self, new_labels, before=None, after=None):
+        """
+        Return a new axis with `new_labels` inserted before `before` or after `after`.
+
+        Parameters
+        ----------
+        new_labels : scalar, tuple/list/array of scalars, Group or Axis
+            New label(s) to append to the axis.
+        before : scalar or Group, optional
+            Label or group before which to insert `new_labels`.
+        after : scalar or Group, optional
+            Label or group after which to insert `new_labels`.
+
+        Returns
+        -------
+        Axis
+            A copy of the axis with the new labels inserted.
+
+        Examples
+        --------
+        >>> time = Axis([2007, 2009], 'time')
+        >>> time.insert(2008, before=2009)
+        Axis([2007, 2008, 2009], 'time')
+        >>> time.insert(2008, after=2007)
+        Axis([2007, 2008, 2009], 'time')
+        >>> time.insert(2008, before=time.i[1])
+        Axis([2007, 2008, 2009], 'time')
+        >>> time.insert(2008, after=time.i[0])
+        Axis([2007, 2008, 2009], 'time')
+        >>> b = Axis(['b1', 'b2'], 'b')
+        >>> b.insert('b1.5', before='b2')
+        Axis(['b1', 'b1.5', 'b2'], 'b')
+        >>> b.insert(['b1.1', 'b1.2'], before='b2')
+        Axis(['b1', 'b1.1', 'b1.2', 'b2'], 'b')
+        >>> c = Axis(['c1', 'c2'], 'c')
+        >>> b.insert(c, before='b2')
+        Axis(['b1', 'c1', 'c2', 'b2'], 'b')
+        """
+        if sum([before is not None, after is not None]) != 1:
+            raise ValueError("must specify exactly one of before or after")
+        if before is not None:
+            before = self.index(before)
+        else:
+            assert after is not None
+            before = self.index(after) + 1
+
+        if isinstance(new_labels, Axis):
+            new_labels = new_labels.labels
+        elif isinstance(new_labels, Group):
+            new_labels = new_labels.eval()
+        else:
+            if np.isscalar(new_labels):
+                new_labels = [new_labels]
+            new_labels = np.asarray(new_labels)
+
+        current_labels = self.labels
+        labels_type = common_type((current_labels, new_labels))
+        if labels_type is object:
+            # astype always copies, while asarray only copies if necessary
+            current_labels = np.asarray(current_labels, dtype=object)
+            new_labels = np.asarray(new_labels, dtype=object)
+
+        # not using np.insert to avoid inserted string labels being truncated (because of current_labels.dtype)
+        res_labels = np.concatenate((current_labels[:before], new_labels, current_labels[before:]))
+        return Axis(res_labels, self.name)
+
     @property
     def iswildcard(self):
         return self._iswildcard
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index f7e353d8c..d97b4c2f7 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2384,6 +2384,86 @@ def test_append(self):
         # la = la.append(lipro=la.sum(lipro), label='sum')
         # self.assertEqual(la.shape, (117, 44, 2, 15))
 
+    def test_insert(self):
+        # simple tests are in the docstring
+        arr1 = ndtest((2, 3))
+
+        # insert at multiple places at once
+
+        # we cannot use from_string in these tests because it deduplicates ambiguous (column) labels automatically
+        res = arr1.insert([42, 43], before='b1', label='new')
+        assert_array_equal(res, from_lists([
+        ['a\\b', 'b0', 'new', 'new', 'b1', 'b2'],
+        ['a0',      0,    42,    43,    1,    2],
+        ['a1',      3,    42,    43,    4,    5]]))
+
+        res = arr1.insert(42, before=['b1', 'b2'], label='new')
+        assert_array_equal(res, from_lists([
+        ['a\\b', 'b0', 'new', 'b1', 'new', 'b2'],
+        ['a0',      0,    42,    1,    42,    2],
+        ['a1',      3,    42,    4,    42,    5]]))
+
+        res = arr1.insert(42, before='b1', label=['b0.1', 'b0.2'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.1  b0.2  b1  b2
+         a0   0    42    42   1   2
+         a1   3    42    42   4   5"""))
+
+        res = arr1.insert(42, before=['b1', 'b2'], label=['b0.5', 'b1.5'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.5  b1  b1.5  b2
+         a0   0    42   1    42   2
+         a1   3    42   4    42   5"""))
+
+        res = arr1.insert([42, 43], before='b1', label=['b0.1', 'b0.2'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.1  b0.2  b1  b2
+         a0   0    42    43   1   2
+         a1   3    42    43   4   5"""))
+        res = arr1.insert([42, 43], before=['b1', 'b2'], label='new')
+        assert_array_equal(res, from_lists([
+        ['a\\b',  'b0',  'new',  'b1',  'new',  'b2'],
+        [  'a0',     0,     42,     1,     43,     2],
+        [  'a1',     3,     42,     4,     43,     5]]))
+
+        res = arr1.insert([42, 43], before=['b1', 'b2'], label=['b0.5', 'b1.5'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.5  b1  b1.5  b2
+         a0   0    42   1    43   2
+         a1   3    42   4    43   5"""))
+        res = arr1.insert([42, 43], before='b1,b2', label=['b0.5', 'b1.5'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.5  b1  b1.5  b2
+         a0   0    42   1    43   2
+         a1   3    42   4    43   5"""))
+
+        arr2 = ndtest(2)
+        res = arr1.insert([arr2 + 42, arr2 + 43], before=['b1', 'b2'], label=['b0.5', 'b1.5'])
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.5  b1  b1.5  b2
+         a0   0    42   1    43   2
+         a1   3    43   4    44   5"""))
+
+        arr3 = ndrange('a=a0,a1;b=b0.1,b0.2') + 42
+        res = arr1.insert(arr3, before='b1,b2')
+        assert_array_equal(res, from_string("""
+        a\\b  b0  b0.1  b1  b0.2  b2
+         a0   0    42   1    43   2
+         a1   3    44   4    45   5"""))
+
+        # with ambiguous labels
+        arr4 = ndrange('a=v0,v1;b=v0,v1')
+        res = arr4.insert(42, before='v1', axis='b', label='v0.5')
+        assert_array_equal(res, from_string("""
+        a\\b  v0  v0.5  v1
+         v0   0    42   1
+         v1   2    42   3"""))
+        res = arr4.insert(42, before=arr4.b['v1'], label='v0.5')
+        assert_array_equal(res, from_string("""
+        a\\b  v0  v0.5  v1
+         v0   0    42   1
+         v1   2    42   3"""))
+
     # the aim of this test is to drop the last value of an axis, but instead
     # of dropping the last axis tick/label, drop the first one.
     def test_shift_axis(self):
diff --git a/larray/util/misc.py b/larray/util/misc.py
index 9e6774c07..891fd50a6 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -640,3 +640,36 @@ def inverseop(opname):
         return comparison_ops[opname]
     else:
         return 'r' + opname
+
+
+_numeric_kinds = 'buifc'    # Boolean, Unsigned integer, Integer, Float, Complex
+_string_kinds = 'SU'        # String, Unicode
+_meta_kind = {k: 'str' for k in _string_kinds}
+_meta_kind.update({k: 'numeric' for k in _numeric_kinds})
+
+
+def common_type(arrays):
+    """
+    Returns a type which is common to the input arrays.
+    All input arrays can be safely cast to the returned dtype without loss of information.
+
+    Notes
+    -----
+    If list of arrays mixes 'numeric' and 'string' types, the function returns 'object' as common type.
+    """
+    arrays = [np.asarray(a) for a in arrays]
+    dtypes = [a.dtype for a in arrays]
+    meta_kinds = [_meta_kind.get(dt.kind, 'other') for dt in dtypes]
+    # mixing string and numeric => object
+    if any(mk != meta_kinds[0] for mk in meta_kinds[1:]):
+        return object
+    elif meta_kinds[0] == 'numeric':
+        return np.find_common_type(dtypes, [])
+    elif meta_kinds[0] == 'str':
+        need_unicode = any(dt.kind == 'U' for dt in dtypes)
+        # unicode are coded with 4 bytes
+        max_size = max(dt.itemsize // 4 if dt.kind == 'U' else dt.itemsize
+                       for dt in dtypes)
+        return np.dtype(('U' if need_unicode else 'S', max_size))
+    else:
+        return object

From b97b72beddb68d11fe8cf99190aca0420ab9c8a0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Mon, 2 Oct 2017 14:30:23 +0200
Subject: [PATCH 839/899] reimplemented LArray.append and prepend using
 LArray.insert and LArray.extend using concat

also changed the result type for those (use common_type)

(and remove concat_empty which is now useless)
---
 doc/source/changes/version_0_27.rst.inc | 22 +++++++-
 larray/core/array.py                    | 73 ++++---------------------
 2 files changed, 33 insertions(+), 62 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 9d4fa8af1..d64e2814c 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -7,7 +7,7 @@
 Backward incompatible changes
 -----------------------------
 
-* labels are checked during array subset assignement (closes :issue:`269`):
+* labels are checked during array subset assignment (closes :issue:`269`):
 
     >>> arr = ndtest(4)
     >>> arr
@@ -141,6 +141,26 @@ Miscellaneous improvements
 
 * added support for coloring numeric values for object arrays (e.g. arrays containing both strings and numbers).
 
+* when appending/prepending/extending an array, both the original array and the added values will be converted to a
+  data type which can hold both without loss of information. It used to convert the added values to the type of the
+  original array. For example, given an array of integers like:
+
+    >>> arr = ndtest(3)
+    a  a0  a1  a2
+        0   1   2
+
+  Trying to add a floating point number to that array used to result in:
+
+    >>> arr.append('a', 2.5, 'a3')
+    a  a0  a1  a2  a3
+        0   1   2   2
+
+  Now it will result in:
+
+    >>> arr.append('a', 2.5, 'a3')
+    a   a0   a1   a2   a3
+       0.0  1.0  2.0  2.5
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 979cb8c0c..c92852b0b 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -249,39 +249,6 @@ def std(array, *args, **kwargs):
     return array.std(*args, **kwargs)
 
 
-def concat_empty(axis, arrays_axes, dtype):
-    # Get axis by name, so that we do *NOT* check they are "compatible", because it makes sense to append axes of
-    # different length
-    arrays_axis = [axes[axis] for axes in arrays_axes]
-    arrays_labels = [axis.labels for axis in arrays_axis]
-
-    # switch to object dtype if labels are of incompatible types, so that we do not implicitly convert numeric types to
-    # strings (numpy should not do this in the first place but that is another story). This can happen for example when
-    # we want to add a "total" tick to a numeric axis (eg age).
-    labels_type = common_type(arrays_labels)
-    if labels_type is object:
-        # astype always copies, while asarray only copies if necessary
-        arrays_labels = [np.asarray(labels, dtype=object) for labels in arrays_labels]
-    new_labels = np.concatenate(arrays_labels)
-    combined_axis = Axis(new_labels, arrays_axis[0].name)
-
-    new_axes = [axes.replace(axis, combined_axis) for axes, axis in zip(arrays_axes, arrays_axis)]
-
-    # combine all axes (using labels from any side if any)
-    result_axes = AxisCollection.union(*new_axes)
-
-    result = empty(result_axes, dtype=dtype)
-    lengths = [len(axis) for axis in arrays_axis]
-    cumlen = np.cumsum(lengths)
-    start_bounds = np.concatenate(([0], cumlen[:-1]))
-    stop_bounds = cumlen
-    # XXX: wouldn't it be nice to be able to say that? ie translation from index to label on the original axis then
-    # translation to index on the actual result axis?
-    # result[:axis.i[-1]]
-    return result, [result[combined_axis.i[start:stop]]
-                    for start, stop in zip(start_bounds, stop_bounds)]
-
-
 def concat(arrays, axis=0, dtype=None):
     """Concatenate arrays along axis
 
@@ -5474,13 +5441,7 @@ def append(self, axis, value, label=None):
         Other         F    0.0    0.0
         """
         axis = self.axes[axis]
-        if np.isscalar(value):
-            value = LArray(np.asarray(value, self.dtype))
-        # This does not prevent value to have more axes than self.
-        # We do not use .expand(..., readonly=True) so that the code is more similar to .prepend().
-        target_axes = self.axes.replace(axis, Axis([label], axis.name))
-        value = value.broadcast_with(target_axes)
-        return self.extend(axis, value)
+        return self.insert(value, pos=len(axis), axis=axis, label=label)
 
     def prepend(self, axis, value, label=None):
         """Adds an array before self along an axis.
@@ -5521,24 +5482,16 @@ def prepend(self, axis, value, label=None):
         >>> b
         type  type1  type2
                 0.0    0.0
-        >>> a.prepend(X.nat, b, 'Other')
-         type  nat\sex    M    F
-        type1    Other  0.0  0.0
-        type1       BE  1.0  1.0
-        type1       FO  1.0  1.0
-        type2    Other  0.0  0.0
-        type2       BE  1.0  1.0
-        type2       FO  1.0  1.0
+        >>> a.prepend(X.sex, b, 'Other')
+        nat  sex\\type  type1  type2
+         BE     Other    0.0    0.0
+         BE         M    1.0    1.0
+         BE         F    1.0    1.0
+         FO     Other    0.0    0.0
+         FO         M    1.0    1.0
+         FO         F    1.0    1.0
         """
-        axis = self.axes[axis]
-        if np.isscalar(value):
-            value = LArray(np.asarray(value, self.dtype))
-        # This does not prevent value to have more axes than self
-        target_axes = self.axes.replace(axis, Axis([label], axis.name))
-        # We cannot simply add the "new" axis to value (e.g. using expand) because the resulting axes would not be in
-        # the correct order.
-        value = value.broadcast_with(target_axes)
-        return value.extend(axis, self)
+        return self.insert(value, pos=0, axis=axis, label=label)
 
     def extend(self, axis, other):
         """Adds an array to self along an axis.
@@ -5590,10 +5543,7 @@ def extend(self, axis, other):
           U     type1  0.0  0.0
           U     type2  0.0  0.0
         """
-        result, (self_target, other_target) = concat_empty(axis, (self.axes, other.axes), self.dtype)
-        self_target[:] = self
-        other_target[:] = other
-        return result
+        return concat((self, other), axis)
 
     def insert(self, value, before=None, after=None, pos=None, axis=None, label=None):
         """Inserts value in array along an axis.
@@ -8000,6 +7950,7 @@ def stack(elements=None, axis=None, title='', **kwargs):
             res.append((name, stacked))
         return Session(res)
     else:
+        # XXX : use concat?
         result_axes = AxisCollection.union(*[get_axes(v) for v in values])
         result_axes.append(axis)
         result = empty(result_axes, title=title, dtype=common_type(values))

From 36ddafe09c3e0e16407758bda656ec02be1dbce2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 21 Nov 2017 11:49:43 +0100
Subject: [PATCH 840/899] fixed translate -> index warning

---
 larray/core/group.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/larray/core/group.py b/larray/core/group.py
index 689bbc8da..af909d5e7 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -1359,7 +1359,7 @@ def translate(self, bound=None, stop=False):
         if bound is None:
             bound = self.key
         if isinstance(self.axis, ABCAxis):
-            pos = self.axis.translate(bound)
+            pos = self.axis.index(bound)
             return pos + int(stop) if np.isscalar(pos) else pos
         else:
             raise ValueError("Cannot translate an LGroup without axis")

From cdd419467779e9f9c218d39282ac6887773a2e85 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 21 Nov 2017 17:43:57 +0100
Subject: [PATCH 841/899] added changelog (0.27) --> issue 96 of larray-editor
 project

---
 doc/source/changes/version_0_27.rst.inc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index d64e2814c..39dcd5e50 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -72,6 +72,9 @@ New features
   - `About`: give information about the editor and the versions of packages currently installed on your computer.
   (closes :editor_issue:`88`)
 
+* added item `Save Command History To Script` in File menu allowing to save executed commands in a new or existing
+  Python file.
+
 * added possibility to show only rows with differences when comparing arrays or sessions through the `compare`
   function in the viewer (closes :editor_issue:`102`).
 

From dff871a39853f988cf93a36fc834f39ff080b3a6 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 24 Nov 2017 09:19:37 +0100
Subject: [PATCH 842/899] added changelog (0.27) for issue 105 of larray-editor
 project

---
 doc/source/changes/version_0_27.rst.inc | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 39dcd5e50..77f132c91 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -164,6 +164,8 @@ Miscellaneous improvements
     a   a0   a1   a2   a3
        0.0  1.0  2.0  2.5
 
+* documentation links in the Help menu of the editor point to the version of the documentation corresponding to
+  the installed version of larray (closes :editor_issue:`105`).
 
 Fixes
 -----

From 58ce597951f38ae027ddbe9cdbc616627e4721bc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Nov 2017 16:02:22 +0100
Subject: [PATCH 843/899] fixed bad version numbers

---
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/changes.rst       | 8 --------
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 4 files changed, 4 insertions(+), 12 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 93d89f830..e72bd9471 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.28-dev
+  version: 0.27-dev
 
 source:
-  git_tag: 0.28-dev
+  git_tag: 0.27-dev
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 24aa5c573..5bcd82c3c 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,14 +1,6 @@
 Change log
 ##########
 
-Version 0.28
-============
-
-In development.
-
-.. include:: ./changes/version_0_28.rst.inc
-
-
 Version 0.27
 ============
 
diff --git a/larray/__init__.py b/larray/__init__.py
index 5f8ebb149..5b620a64a 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = '0.28-dev'
+__version__ = '0.27-dev'
diff --git a/setup.py b/setup.py
index 2598c6b79..23c610865 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.28-dev'
+VERSION = '0.27-dev'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 2b0e1c917cfd13f739154280538f3bc14b2fd109 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Tue, 28 Nov 2017 16:16:17 +0100
Subject: [PATCH 844/899] fixed _remove_readonly in some cases (Python3?)

---
 make_release.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_release.py b/make_release.py
index 49977e1b3..c7b8144c5 100644
--- a/make_release.py
+++ b/make_release.py
@@ -67,7 +67,7 @@ def generate(fname, **kwargs):
 
 
 def _remove_readonly(function, path, excinfo):
-    if function in (os.rmdir, os.remove) and excinfo[1].errno == errno.EACCES:
+    if function in {os.rmdir, os.remove, os.unlink} and excinfo[1].errno == errno.EACCES:
         # add write permission to owner
         os.chmod(path, stat.S_IWUSR)
         # retry removing

From 9b06cc6085e3343fdc9c7d37102655d099d0a2e1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 27 Nov 2017 12:05:08 +0100
Subject: [PATCH 845/899] fix #537 : updated next_release.py and
 make_release.py scripts using the releaser lib

---
 make_release.py | 735 ++----------------------------------------------
 next_release.py |  66 +----
 2 files changed, 32 insertions(+), 769 deletions(-)

diff --git a/make_release.py b/make_release.py
index c7b8144c5..0e991e446 100644
--- a/make_release.py
+++ b/make_release.py
@@ -6,731 +6,38 @@
 # * git
 from __future__ import print_function, unicode_literals
 
-import errno
-import fnmatch
-import os
-import re
-import stat
-import subprocess
 import sys
-import zipfile
-import hashlib
-import urllib.request as request
+from os.path import abspath, dirname, join
+from releaser import make_release
+from releaser import update_feedstock
+from releaser.make_release import steps_funcs as make_release_steps
+from releaser.update_feedstock import steps_funcs as update_feedstock_steps
 
-from datetime import date
-from os import chdir, makedirs
-from os.path import exists, abspath, dirname
-from shutil import copytree, copy2, rmtree as _rmtree
-from subprocess import check_output, STDOUT, CalledProcessError
 
-
-PY2 = sys.version_info[0] < 3
 TMP_PATH = r"c:\tmp\larray_new_release"
 TMP_PATH_CONDA = r"c:\tmp\larray_conda_new_release"
-LARRAY_REP = 'https://github.com/liam2/larray'
-LARRAY_READTHEDOCS = "http://larray.readthedocs.io/en/stable/"
-CONDA_LARRAY_FEEDSTOCK_REP = 'https://github.com/larray-project/larray-feedstock.git'
+PACKAGE_NAME = "larray"
+SRC_CODE = "larray"
+SRC_DOC = join('doc', 'source')
+
+GITHUB_REP = "https://github.com/liam2/larray"
+CONDA_FEEDSTOCK_REP = "https://github.com/larray-project/larray-feedstock.git"
+ONLINE_DOC = "http://larray.readthedocs.io/en/stable/"
 LARRAY_ANNOUNCE_MAILING_LIST = "larray-announce@googlegroups.com"
 LARRAY_USERS_GROUP = "larray-users@googlegroups.com"
 
-try:
-    input = raw_input
-except NameError:
-    pass
-
-if PY2:
-    import io
-    # add support for encoding. Slow on Python2, but that is not a problem given what we do with it.
-    open = io.open
-
-
-# ------------- #
-# generic tools #
-# ------------- #
-
-def size2str(value):
-    unit = "bytes"
-    if value > 1024.0:
-        value /= 1024.0
-        unit = "Kb"
-        if value > 1024.0:
-            value /= 1024.0
-            unit = "Mb"
-        return "{:.2f} {}".format(value, unit)
-    else:
-        return "{:d} {}".format(value, unit)
-
-
-def generate(fname, **kwargs):
-    with open('{}.tmpl'.format(fname)) as in_f, open(fname, 'w') as out_f:
-        out_f.write(in_f.read().format(**kwargs))
-
-
-def _remove_readonly(function, path, excinfo):
-    if function in {os.rmdir, os.remove, os.unlink} and excinfo[1].errno == errno.EACCES:
-        # add write permission to owner
-        os.chmod(path, stat.S_IWUSR)
-        # retry removing
-        function(path)
-    else:
-        raise Exception("Cannot remove {}".format(path))
-
-
-def rmtree(path):
-    _rmtree(path, onerror=_remove_readonly)
-
-
-def call(*args, **kwargs):
-    try:
-        res = check_output(*args, stderr=STDOUT, **kwargs)
-        if not PY2 and 'universal_newlines' not in kwargs:
-            res = res.decode('utf8')
-        return res
-    except CalledProcessError as e:
-        print(e.output)
-        raise e
-
-
-def echocall(*args, **kwargs):
-    print(' '.join(args))
-    return call(*args, **kwargs)
-
-
-def git_remote_last_rev(url, branch=None):
-    """
-    :param url: url of the remote repository
-    :param branch: an optional branch (defaults to 'refs/heads/master')
-    :return: name/hash of the last revision
-    """
-    if branch is None:
-        branch = 'refs/heads/master'
-    output = call('git ls-remote {} {}'.format(url, branch))
-    for line in output.splitlines():
-        if line.endswith(branch):
-            return line.split()[0]
-    raise Exception("Could not determine revision number")
-
-
-def branchname(statusline):
-    """
-    computes the branch name from a "git status -b -s" line
-    ## master...origin/master
-    """
-    statusline = statusline.replace('#', '').strip()
-    pos = statusline.find('...')
-    return statusline[:pos] if pos != -1 else statusline
-
-
-def yes(msg, default='y'):
-    choices = ' ({}/{}) '.format(*tuple(c.capitalize() if c == default else c
-                                  for c in ('y', 'n')))
-    answer = None
-    while answer not in ('', 'y', 'n'):
-        if answer is not None:
-            print("answer should be 'y', 'n', or <return>")
-        answer = input(msg + choices).lower()
-    return (default if answer == '' else answer) == 'y'
-
-
-def no(msg, default='n'):
-    return not yes(msg, default)
-
-
-def do(description, func, *args, **kwargs):
-    print(description + '...', end=' ')
-    func(*args, **kwargs)
-    print("done.")
-
-
-def allfiles(pattern, path='.'):
-    """
-    like glob.glob(pattern) but also include files in subdirectories
-    """
-    return (os.path.join(dirpath, f)
-            for dirpath, dirnames, files in os.walk(path)
-            for f in fnmatch.filter(files, pattern))
-
-
-def zip_pack(archivefname, filepattern):
-    with zipfile.ZipFile(archivefname, 'w', zipfile.ZIP_DEFLATED) as f:
-        for fname in allfiles(filepattern):
-            f.write(fname)
-
-
-def zip_unpack(archivefname, dest=None):
-    with zipfile.ZipFile(archivefname) as f:
-        f.extractall(dest)
-
-
-def short(rel_name):
-    return rel_name[:-2] if rel_name.endswith('.0') else rel_name
-
-
-def long_release_name(release_name):
-    """
-    transforms a short release name such as 0.8 to a long one such as 0.8.0
-    >>> long_release_name('0.8')
-    '0.8.0'
-    >>> long_release_name('0.8.0')
-    '0.8.0'
-    >>> long_release_name('0.8rc1')
-    '0.8.0rc1'
-    >>> long_release_name('0.8.0rc1')
-    '0.8.0rc1'
-    """
-    dotcount = release_name.count('.')
-    if dotcount >= 2:
-        return release_name
-    assert dotcount == 1, "{} contains {} dots".format(release_name, dotcount)
-    pos = pretag_pos(release_name)
-    if pos is not None:
-        return release_name[:pos] + '.0' + release_name[pos:]
-    return release_name + '.0'
-
-
-def pretag_pos(release_name):
-    """
-    gives the position of any pre-release tag
-    >>> pretag_pos('0.8')
-    >>> pretag_pos('0.8alpha25')
-    3
-    >>> pretag_pos('0.8.1rc1')
-    5
-    """
-    # 'a' needs to be searched for after 'beta'
-    for tag in ('rc', 'c', 'beta', 'b', 'alpha', 'a'):
-        match = re.search(tag + '\d+', release_name)
-        if match is not None:
-            return match.start()
-    return None
-
-
-def strip_pretags(release_name):
-    """
-    removes pre-release tags from a version string
-    >>> strip_pretags('0.8')
-    '0.8'
-    >>> strip_pretags('0.8alpha25')
-    '0.8'
-    >>> strip_pretags('0.8.1rc1')
-    '0.8.1'
-    """
-    pos = pretag_pos(release_name)
-    return release_name[:pos] if pos is not None else release_name
-
-
-def isprerelease(release_name):
-    """
-    tests whether the release name contains any pre-release tag
-    >>> isprerelease('0.8')
-    False
-    >>> isprerelease('0.8alpha25')
-    True
-    >>> isprerelease('0.8.1rc1')
-    True
-    """
-    return pretag_pos(release_name) is not None
-
-
-# -------------------- #
-# end of generic tools #
-# -------------------- #
-
-# ------------------------- #
-# specific helper functions #
-# ------------------------- #
-
-
-def relname2fname(release_name):
-    short_version = short(strip_pretags(release_name))
-    return r"version_{}.rst.inc".format(short_version.replace('.', '_'))
-
-
-def release_changes(context):
-    directory = r"doc\source\changes"
-    fname = relname2fname(context['release_name'])
-    with open(os.path.join(context['build_dir'], directory, fname), encoding='utf-8-sig') as f:
-        return f.read()
-
-
-def replace_lines(fpath, changes, end="\n"):
-    """
-    Parameters
-    ----------
-    changes : list of pairs
-        List of pairs (substring_to_find, new_line).
-    """
-    with open(fpath) as f:
-        lines = f.readlines()
-        for i, line in enumerate(lines[:]):
-            for substring_to_find, new_line in changes:
-                if substring_to_find in line and not line.strip().startswith('#'):
-                    lines[i] = new_line + end
-    with open(fpath, 'w') as f:
-        f.writelines(lines)
-
-
-def create_source_archive(release_name, rev):
-    call(r'git archive --format zip --output ..\larray-{}-src.zip {}'.format(release_name, rev))
-
-
-def copy_release(release_name):
-    pass
-
-
-def create_bundle_archives(release_name):
-    pass
-
-
-def check_bundle_archives(release_name):
-    """
-    checks the bundles unpack correctly
-    """
-    makedirs('test')
-    zip_unpack('larray-{}-src.zip'.format(release_name), r'test\src')
-    rmtree('test')
-
-# -------------------------------- #
-# end of specific helper functions #
-# -------------------------------- #
-
-# ----- #
-# steps #
-# ----- #
-
-def check_local_repo(context):
-    # releasing from the local clone has the advantage we can prepare the
-    # release offline and only push and upload it when we get back online
-    s = "Using local repository at: {repository} !".format(**context)
-    print("\n", s, "\n", "=" * len(s), "\n", sep='')
-
-    status = call('git status -s -b')
-    lines = status.splitlines()
-    statusline, lines = lines[0], lines[1:]
-    curbranch = branchname(statusline)
-    if curbranch != context['branch']:
-        print("{branch} is not the current branch ({curbranch}). "
-              "Please use 'git checkout {branch}'.".format(**context, curbranch=curbranch))
-        exit(1)
-
-    if lines:
-        uncommited = sum(1 for line in lines if line[1] in 'MDAU')
-        untracked = sum(1 for line in lines if line.startswith('??'))
-        print('Warning: there are {:d} files with uncommitted changes and '
-              '{:d} untracked files:'.format(uncommited, untracked))
-        print('\n'.join(lines))
-        if no('Do you want to continue?'):
-            exit(1)
-
-    ahead = call('git log --format=format:%%H origin/{branch}..{branch}'.format(**context))
-    num_ahead = len(ahead.splitlines())
-    print("Branch '{branch}' is {num_ahead:d} commits ahead of 'origin/{branch}'"
-          .format(**context, num_ahead=num_ahead), end='')
-    if num_ahead:
-        if yes(', do you want to push?'):
-            do('Pushing changes', call, 'git push')
-    else:
-        print()
-
-    if no('Release version {release_name} ({rev})?'.format(**context)):
-        exit(1)
-
-
-def create_tmp_directory(context):
-    tmp_dir = context['tmp_dir']
-    if exists(tmp_dir):
-        rmtree(tmp_dir)
-    makedirs(tmp_dir)
-
-
-def clone_repository(context):
-    chdir(context['tmp_dir'])
-
-    # make a temporary clone in /tmp. The goal is to make sure we do not include extra/unversioned files. For the -src
-    # archive, I don't think there is a risk given that we do it via git, but the risk is there for the bundles
-    # (src/build is not always clean, examples, editor, ...)
-
-    # Since this script updates files (update_changelog), we need to get those changes propagated to GitHub. I do that
-    # by updating the temporary clone then push twice: first from the temporary clone to the "working copy clone" (eg
-    # ~/devel/project) then to GitHub from there. The alternative to modify the "working copy clone" directly is worse
-    # because it needs more complicated path handling that the 2 push approach.
-    do('Cloning repository', call, 'git clone -b {branch} {repository} build'.format(**context))
-
-
-def check_clone(context):
-    chdir(context['build_dir'])
-
-    # check last commit
-    print()
-    print(call('git log -1'))
-    print()
-
-    if no('Does that last commit look right?'):
-        exit(1)
-
-    if context['public_release']:
-        # check release changes
-        print(release_changes(context))
-        if no('Does the release changelog look right?'):
-            exit(1)
-
-
-def build_exe(context):
-    pass
-
-
-def test_executables(context):
-    pass
-
-
-def create_archives(context):
-    chdir(context['build_dir'])
-
-    release_name = context['release_name']
-    create_source_archive(release_name, context['rev'])
-
-    chdir(context['tmp_dir'])
-
-    # copy_release(release_name)
-    # create_bundle_archives(release_name)
-    # check_bundle_archives(release_name)
-
-
-def run_tests():
-    """
-    assumes to be in build
-    """
-    echocall('pytest')
-
-
-def update_version(context):
-    chdir(context['build_dir'])
-    version = short(context['release_name'])
-
-    # meta.yaml
-    meta_file = r'condarecipe\larray\meta.yaml'
-    changes = [('version: ', "  version: {}".format(version)),
-               ('git_tag: ', "  git_tag: {}".format(version))]
-    replace_lines(meta_file, changes)
-
-    # __init__.py
-    init_file = r'larray\__init__.py'
-    changes = [('__version__ =', "__version__ = '{}'".format(version))]
-    replace_lines(init_file, changes)
-
-    # setup.py
-    setup_file = r'setup.py'
-    changes = [('VERSION =', "VERSION = '{}'".format(version))]
-    replace_lines(setup_file, changes)
-
-    # check, commit and push
-    print(call('git status -s'))
-    print(call('git diff {} {} {}'.format(meta_file, init_file, setup_file)))
-    if no('Does that last changes look right?'):
-        exit(1)
-    do('Adding', call, 'git add {} {} {}'.format(meta_file, init_file, setup_file))
-    do('Commiting', call, 'git commit -m "bump to version {}"'.format(version))
-    print(call('git log -1'))
-    do('Pushing to GitHub', call, 'git push origin {branch}'.format(**context))
-
-
-def update_changelog(context):
-    """
-    Update release date in changes.rst
-    """
-    chdir(context['build_dir'])
-
-    if not context['public_release']:
-        return
-
-    release_name = context['release_name']
-    fpath = r'doc\source\changes.rst'
-    with open(fpath) as f:
-        lines = f.readlines()
-        title = "Version {}".format(short(release_name))
-        if lines[5] != title + '\n':
-            print("changes.rst not modified (the last release is not {})".format(title))
-            return
-        release_date = lines[8]
-        if release_date != "In development.\n":
-            print('changes.rst not modified (the last release date is "{}" '
-                  'instead of "In development.", was it already released?)'.format(release_date))
-            return
-        lines[8] = "Released on {}.\n".format(date.today().isoformat())
-    with open(fpath, 'w') as f:
-        f.writelines(lines)
-    with open(fpath, encoding='utf-8-sig') as f:
-        print('\n'.join(f.read().splitlines()[:20]))
-    if no('Does the full changelog look right?'):
-        exit(1)
-    call('git commit -m "update release date in changes.rst" {}'.format(fpath))
-
-
-def update_version_conda_forge_package(context):
-    if not context['public_release']:
-        return
-
-    chdir(context['build_dir'])
-
-    # compute sha256 of archive of current release
-    version = short(context['release_name'])
-    url = LARRAY_REP + '/archive/{version}.tar.gz'.format(version=version)
-    print('Computing SHA256 from archive {url}'.format(url=url), end=' ')
-    with request.urlopen(url) as response:
-        sha256 = hashlib.sha256(response.read()).hexdigest()
-        print('done.')
-        print('SHA256: ', sha256)
-
-    # set version and sha256 in meta.yml file
-    meta_file = r'recipe\meta.yaml'
-    changes = [('set version', '{{% set version = "{version}" %}}'.format(version=version)),
-               ('set sha256', '{{% set sha256 = "{sha256}" %}}'.format(sha256=sha256))]
-    replace_lines(meta_file, changes)
-
-    # add, commit and push
-    print(call('git status -s'))
-    print(call('git diff {meta_file}'.format(meta_file=meta_file)))
-    if no('Does that last changes look right?'):
-        exit(1)
-    do('Adding', call, 'git add {meta_file}'.format(meta_file=meta_file))
-    do('Commiting', call, 'git commit -m "bump to version {version}"'.format(version=version))
-
-
-def update_metapackage(context):
-    if not context['public_release']:
-        return
-
-    chdir(context['repository'])
-    version = short(context['release_name'])
-    do('Updating larrayenv metapackage to version {version}'.format(version=version), call,
-       'conda metapackage larrayenv {version} --dependencies "larray =={version}" "larray-editor =={version}" '
-       '"larray_eurostat =={version}" qtconsole matplotlib pyqt qtpy pytables xlsxwriter xlrd openpyxl xlwings'
-        .format(version=version))
-
-
-def build_doc(context):
-    chdir(context['build_dir'])
-    chdir('doc')
-    call('buildall.bat')
-
-
-def final_confirmation(context):
-    if not context['public_release']:
-        return
-
-    msg = """Is the release looking good? If so, the tag will be created and pushed, everything will be uploaded to 
-the production server. Stuff to watch out for:
-* version numbers (executable & changelog)
-* changelog
-* doc on readthedocs
-"""
-    if no(msg):
-        exit(1)
-
-
-def tag_release(context):
-    chdir(context['build_dir'])
-
-    if not context['public_release']:
-        return
-
-    call('git tag -a {release_name} -m "tag release {release_name}"'.format(**context))
-
-
-def push_on_pypi(context):
-    chdir(context['build_dir'])
-
-    if not context['public_release']:
-        return
-
-    msg = """Ready to push on pypi? If so, command line 
-'python setup.py clean register sdist bdist_wheel --universal upload -r pypi' 
-will now be executed.
-"""
-    if no(msg):
-        exit(1)
-    call('python setup.py clean register sdist bdist_wheel --universal upload -r pypi')
-
-
-def pull(context):
-    if not context['public_release']:
-        return
-
-    # pull the changelog commits to the branch (usually master)
-    # and the release tag (which refers to the last commit)
-    chdir(context['repository'])
-    do('Pulling changes in {repository}'.format(**context),
-       call, 'git pull --ff-only --tags {build_dir} {branch}'.format(**context))
-
-def push(context):
-    if not context['public_release']:
-        return
-
-    chdir(context['repository'])
-    do('Pushing main repository changes to GitHub',
-       call, 'git push origin {branch} --follow-tags'.format(**context))
-
-
-def pull_conda_forge(context):
-    if not context['public_release']:
-        return
-
-    chdir(context['build_dir'])
-    branch = context['branch']
-    repository = context['repository'].replace('larray-project', 'conda-forge')
-    do('Rebasing from upstream {branch}'.format(**context),
-       call, "git pull --rebase {repository} {branch}".format(repository=repository, branch=branch))
-
-
-def push_conda_forge(context):
-    if not context['public_release']:
-        return
-
-    chdir(context['build_dir'])
-    do('Pushing changes to GitHub', call, 'git push origin {branch}'.format(**context))
-
-
-def cleanup(context):
-    chdir(context['tmp_dir'])
-    rmtree('build')
-
-
-def set_context_for_conda_forge(context):
-    context['repository'] = CONDA_LARRAY_FEEDSTOCK_REP
-    context['tmp_dir'] = TMP_PATH_CONDA
-    context['build_dir'] = os.path.join(TMP_PATH_CONDA, 'build')
-
-
-def announce_new_release(context):
-    import win32com.client as win32
-    version = short(context['release_name'])
-    outlook = win32.Dispatch('outlook.application')
-    mail = outlook.CreateItem(0)
-    mail.To = LARRAY_ANNOUNCE_MAILING_LIST
-    mail.Subject = "LArray {} released".format(version)
-    mail.Body  = """\
-Hello all, 
-
-We are pleased to announce that version {version} of LArray is now available. 
-The complete description of changes including examples can be found at:
-
-{readthedocs}changes.html#version-{version_doc}
-
-
-
-As always, *any* feedback is very welcome, preferably on the larray-users 
-mailing list: {larray_users_group} (you need to register to be able to post).
-""".format(version=version, readthedocs=LARRAY_READTHEDOCS, version_doc=version.replace('.', '-'),
-           larray_users_group=LARRAY_USERS_GROUP)
-    mail.Display(True)
-
-# ------------ #
-# end of steps #
-# ------------ #
-
-steps_funcs = [
-    #########################
-    # CREATE LARRAY PACKAGE #
-    #########################
-    (check_local_repo, ''),
-    (create_tmp_directory, ''),
-    (clone_repository, ''),
-    (check_clone, ''),
-    (update_version, ''),
-    (build_exe, 'Building executables'),
-    (test_executables, 'Testing executables'),
-    (update_changelog, 'Updating changelog'),
-    (create_archives, 'Creating archives'),
-    (final_confirmation, ''),
-    (tag_release, 'Tagging release'),
-    # We used to push from /tmp to the local repository but you cannot push
-    # to the currently checked out branch of a repository, so we need to
-    # pull changes instead. However pull (or merge) add changes to the
-    # current branch, hence we make sure at the beginning of the script
-    # that the current git branch is the branch to release. It would be
-    # possible to do so without a checkout by using:
-    # git fetch {tmp_path} {branch}:{branch}
-    # instead but then it only works for fast-forward and non-conflicting
-    # changes. So if the working copy is dirty, you are out of luck.
-    (pull, ''),
-    # >>> need internet from here
-    (push, ''),
-    (push_on_pypi, 'Pushing on Pypi'),
-    # assume the tar archive for the new release exists
-    (cleanup, 'Cleaning up'),
-    #############################
-    # CREATE LARRAY METAPACKAGE #
-    #############################
-    # assume the tar archive for the new release exists
-    (update_metapackage, ''),
-    ########################################
-    # UPDATE LARRAY PACKAGE ON CONDA-FORGE #
-    ########################################
-    (set_context_for_conda_forge, 'Setting context in order to update packages on conda-forge'),
-    (create_tmp_directory, ''),
-    (clone_repository, ''),
-    (update_version_conda_forge_package, ''),
-    (pull_conda_forge, ''),
-    (push_conda_forge, ''),
-    (cleanup, 'Cleaning up'),
-    ############################################
-    # UPDATE LARRAY METAPACKAGE ON CONDA-FORGE #
-    ############################################
-    # assume larray package on conda-forge has been updated
-
-    ####################
-    # ANNOUNCE RELEASE #
-    ####################
-    (announce_new_release, 'Sending release announce email')
-]
-
-
-def make_release(release_name='dev', steps=':', branch='master'):
-    func_names = [f.__name__ for f, desc in steps_funcs]
-    if ':' in steps:
-        start, stop = steps.split(':')
-        start = func_names.index(start) if start else 0
-        # + 1 so that stop bound is inclusive
-        stop = func_names.index(stop) + 1 if stop else len(func_names)
-    else:
-        # assuming a single step
-        start = func_names.index(steps)
-        stop = start + 1
-
-    if release_name != 'dev':
-        if 'pre' in release_name:
-            raise ValueError("'pre' is not supported anymore, use 'alpha' or 'beta' instead")
-        if '-' in release_name:
-            raise ValueError("- is not supported anymore")
-
-        release_name = long_release_name(release_name)
-
-    repository = abspath(dirname(__file__))
-    rev = git_remote_last_rev(repository, 'refs/heads/{}'.format(branch))
-    public_release = release_name != 'dev'
-    if not public_release:
-        # take first 7 digits of commit hash
-        release_name = rev[:7]
-
-    context = {'branch': branch,
-               'release_name': release_name,
-               'rev': rev,
-               'repository': repository,
-               'tmp_dir': TMP_PATH,
-               'build_dir': os.path.join(TMP_PATH, 'build'),
-               'public_release': public_release}
-    for step_func, step_desc in steps_funcs[start:stop]:
-        if step_desc:
-            do(step_desc, step_func, context)
-        else:
-            step_func(context)
-
 
 if __name__ == '__main__':
     argv = sys.argv
     if len(argv) < 2:
-        print("Usage: {} release_name|dev [step|startstep:stopstep] [branch]".format(argv[0]))
-        print("steps:", ', '.join(f.__name__ for f, _ in steps_funcs))
+        print("Usage: {} [-c|--conda] release_name|dev [step|startstep:stopstep] [branch]".format(argv[0]))
+        print("make release steps:", ', '.join(f.__name__ for f, _ in make_release_steps))
+        print("update conda-forge feedstock steps:", ', '.join(f.__name__ for f, _ in update_feedstock_steps))
         sys.exit()
 
-    make_release(*argv[1:])
+    if argv[1] == '-c' or argv[1] == '--conda':
+        argv = argv[2:]
+        update_feedstock(GITHUB_REP, CONDA_FEEDSTOCK_REP, SRC_CODE, *argv, tmp_dir=TMP_PATH_CONDA)
+    else:
+        local_repository = abspath(dirname(__file__))
+        make_release(local_repository, PACKAGE_NAME, SRC_CODE, *argv[1:], src_documentation=SRC_DOC, tmp_dir=TMP_PATH)
diff --git a/next_release.py b/next_release.py
index e280c2ec3..53c9cc83c 100644
--- a/next_release.py
+++ b/next_release.py
@@ -2,62 +2,18 @@
 # encoding: utf-8
 # script to start a new release cycle
 # Licence: GPLv3
-from os.path import join, abspath, dirname
-from make_release import relname2fname, short, call, do, no, push, update_version
-from shutil import copy
-
-
-def update_changelog(release_name):
-    fname = relname2fname(release_name)
-
-    # create "empty" changelog for that release
-    changes_dir = r'doc\source\changes'
-    copy(join(changes_dir, 'template.rst.inc'),
-         join(changes_dir, fname))
-
-    # include release changelog in changes.rst
-    fpath = r'doc\source\changes.rst'
-    changelog_index_template = """{title}
-{underline}
-
-In development.
-
-.. include:: {fpath}
-
-
-"""
-
-    with open(fpath) as f:
-        lines = f.readlines()
-        title = "Version {}".format(short(release_name))
-        if lines[3] == title + '\n':
-            print("changes.rst not modified (it already contains {})".format(title))
-            return
-        this_version = changelog_index_template.format(title=title,
-                                                       underline="=" * len(title),
-                                                       fpath='./changes/' + fname)
-        lines[3:3] = this_version.splitlines(True)
-    with open(fpath, 'w') as f:
-        f.writelines(lines)
-    with open(fpath, encoding='utf-8-sig') as f:
-        print('\n'.join(f.read().splitlines()[:20]))
-    if no('Does the full changelog look right?'):
-        exit(1)
-    call('git add {}'.format(fpath))
-
-
-def add_release(release_name, branch='master'):
-    update_changelog(release_name)
-    context = {'branch': branch,
-               'release_name': release_name+'-dev',
-               'repository': abspath(dirname(__file__)),
-               'build_dir': abspath(dirname(__file__)),
-               'public_release': True}
-    update_version(context)
-    push(context)
+from os.path import abspath, dirname
+from make_release import PACKAGE_NAME, SRC_CODE, SRC_DOC
+from releaser import add_release
 
 
 if __name__ == '__main__':
-    from sys import argv
+    import sys
+
+    argv = sys.argv
+    if len(argv) < 2:
+        print("Usage: {} release_name [branch]".format(argv[0]))
+        sys.exit()
 
-    add_release(*argv[1:])
+    local_repository = abspath(dirname(__file__))
+    add_release(local_repository, PACKAGE_NAME, SRC_CODE, *argv[1:], src_documentation=SRC_DOC)

From 151a7cdddf05e02dee9474cc1835cfb13c68e1b3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 28 Nov 2017 17:07:32 +0100
Subject: [PATCH 846/899] added announce_new_release function to
 make_release.py script

---
 make_release.py | 40 ++++++++++++++++++++++++++++++++++------
 1 file changed, 34 insertions(+), 6 deletions(-)

diff --git a/make_release.py b/make_release.py
index 0e991e446..bf8c4d970 100644
--- a/make_release.py
+++ b/make_release.py
@@ -8,8 +8,7 @@
 
 import sys
 from os.path import abspath, dirname, join
-from releaser import make_release
-from releaser import update_feedstock
+from releaser import make_release, update_feedstock, short, no
 from releaser.make_release import steps_funcs as make_release_steps
 from releaser.update_feedstock import steps_funcs as update_feedstock_steps
 
@@ -19,25 +18,54 @@
 PACKAGE_NAME = "larray"
 SRC_CODE = "larray"
 SRC_DOC = join('doc', 'source')
-
 GITHUB_REP = "https://github.com/liam2/larray"
 CONDA_FEEDSTOCK_REP = "https://github.com/larray-project/larray-feedstock.git"
-ONLINE_DOC = "http://larray.readthedocs.io/en/stable/"
+
+LARRAY_READTHEDOCS = "http://larray.readthedocs.io/en/stable/"
 LARRAY_ANNOUNCE_MAILING_LIST = "larray-announce@googlegroups.com"
 LARRAY_USERS_GROUP = "larray-users@googlegroups.com"
 
 
+# TODO : move to larrayenv project
+def announce_new_release(release_name):
+    import win32com.client as win32
+    version = short(release_name)
+    outlook = win32.Dispatch('outlook.application')
+    mail = outlook.CreateItem(0)
+    mail.To = LARRAY_ANNOUNCE_MAILING_LIST
+    mail.Subject = "LArray {} released".format(version)
+    mail.Body  = """\
+Hello all, 
+
+We are pleased to announce that version {version} of LArray is now available. 
+The complete description of changes including examples can be found at:
+
+{readthedocs}changes.html#version-{version_doc}
+
+
+
+As always, *any* feedback is very welcome, preferably on the larray-users 
+mailing list: {larray_users_group} (you need to register to be able to post).
+""".format(version=version, readthedocs=LARRAY_READTHEDOCS, version_doc=version.replace('.', '-'),
+           larray_users_group=LARRAY_USERS_GROUP)
+    mail.Display(True)
+
+
 if __name__ == '__main__':
     argv = sys.argv
     if len(argv) < 2:
         print("Usage: {} [-c|--conda] release_name|dev [step|startstep:stopstep] [branch]".format(argv[0]))
         print("make release steps:", ', '.join(f.__name__ for f, _ in make_release_steps))
         print("update conda-forge feedstock steps:", ', '.join(f.__name__ for f, _ in update_feedstock_steps))
+        print("or")
+        print("Usage: {} -a|--announce release_name")
         sys.exit()
 
+    if argv[1] == '-a' or argv[1] == '--announce':
+        no("Is metapackage larrayenv updated?")
+        announce_new_release(argv[2])
     if argv[1] == '-c' or argv[1] == '--conda':
-        argv = argv[2:]
-        update_feedstock(GITHUB_REP, CONDA_FEEDSTOCK_REP, SRC_CODE, *argv, tmp_dir=TMP_PATH_CONDA)
+        update_feedstock(GITHUB_REP, CONDA_FEEDSTOCK_REP, SRC_CODE, *argv[2:], tmp_dir=TMP_PATH_CONDA)
     else:
         local_repository = abspath(dirname(__file__))
         make_release(local_repository, PACKAGE_NAME, SRC_CODE, *argv[1:], src_documentation=SRC_DOC, tmp_dir=TMP_PATH)

From e7d2940fb67f2bd1c51837e558d8a12b6c4d3655 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Nov 2017 11:25:26 +0100
Subject: [PATCH 847/899] made .gitignore more generic

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 00b769da6..589230564 100644
--- a/.gitignore
+++ b/.gitignore
@@ -10,4 +10,4 @@ dist/
 .idea/
 *.pyc
 *.pyd
-larray.egg-info
+*.egg-info

From e0699455c4d55831add444d29105a522ded34d51 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Nov 2017 11:57:43 +0100
Subject: [PATCH 848/899] fixed changelog to render correctly

---
 doc/source/changes/version_0_27.rst.inc | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 77f132c91..37eac15de 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -66,11 +66,12 @@ New features
      a1   3    44    45   4   5
 
 * added new items in Help menu:
+
   - `Report Issue...`: to report an issue on the Github project website.
   - `Users Discussion...`: redirect to the LArray Users Google Group (you need to be registered to participate).
   - `New Releases And Announces Mailing List...`: redirect to the LArray Announce mailing list.
-  - `About`: give information about the editor and the versions of packages currently installed on your computer.
-  (closes :editor_issue:`88`)
+  - `About`: give information about the editor and the versions of packages currently installed on your computer
+    (closes :editor_issue:`88`).
 
 * added item `Save Command History To Script` in File menu allowing to save executed commands in a new or existing
   Python file.

From f029e7171914db7a7d3465898fb6671121e0580b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 29 Nov 2017 14:46:40 +0100
Subject: [PATCH 849/899] fix #542 : sort_values does no longer fail when
 reverse arg is used without setting other args key and axis

---
 larray/core/array.py       | 1 +
 larray/tests/test_array.py | 4 ++++
 2 files changed, 5 insertions(+)

diff --git a/larray/core/array.py b/larray/core/array.py
index c92852b0b..7014820b7 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1709,6 +1709,7 @@ def sort_values(self, key=None, axis=None, reverse=False):
             res = self.combine_axes()
             indicesofsorted = np.argsort(res.data)
             res = res.i[indicesofsorted]
+            axis = res.axes[0]
         return res[axis[::-1]] if reverse else res
 
     def sort_axes(self, axes=None, reverse=False):
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index d97b4c2f7..25d46adf9 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2291,6 +2291,10 @@ def test_sort_values(self):
         res = arr.sort_values()
         expected = LArray([-1, 0, 1, 3, 6], "a=a4,a0,a1,a3,a2")
         assert_array_equal(res, expected)
+        # reverse arg
+        res = arr.sort_values(reverse=True)
+        expected = LArray([6, 3, 1, 0, -1], "a=a2,a3,a1,a0,a4")
+        assert_array_equal(res, expected)
 
         # 3D arrays
         arr = LArray([[[10, 2, 4], [3, 7, 1]], [[5, 1, 6], [2, 8, 9]]],

From a8b853cb1d77a4ecdb29fe8b746ed520b2c6d6df Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 29 Nov 2017 13:53:01 +0100
Subject: [PATCH 850/899] added deprecate_kwarg decorator in util/misc.py

---
 larray/util/misc.py | 32 +++++++++++++++++++++++++++++++-
 1 file changed, 31 insertions(+), 1 deletion(-)

diff --git a/larray/util/misc.py b/larray/util/misc.py
index 891fd50a6..a28fced93 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -10,7 +10,7 @@
 import operator
 import warnings
 from textwrap import wrap
-from functools import reduce
+from functools import reduce, wraps
 from itertools import product
 from collections import defaultdict
 
@@ -626,6 +626,36 @@ def wrapper(*args, **kwargs):
         return newfunc(*args, **kwargs)
     return wrapper
 
+# deprecate_kwarg is derived from pandas.util._decorators (0.21)
+def deprecate_kwarg(old_arg_name, new_arg_name, mapping=None, stacklevel=2):
+    if not isinstance(mapping, dict):
+        raise TypeError("mapping from old to new argument values must be dict!")
+    def _deprecate_kwarg(func):
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            old_arg_value = kwargs.pop(old_arg_name, None)
+            if old_arg_value is not None:
+                if mapping is not None:
+                    new_arg_value = mapping.get(old_arg_value, old_arg_value)
+                    msg = "The {old_name}={old_val!r} keyword is deprecated, use {new_name}={new_val!r} instead"\
+                        .format(old_name=old_arg_name, old_val=old_arg_value, new_name=new_arg_name,
+                                new_val=new_arg_value)
+                else:
+                    new_arg_value = old_arg_value
+                    msg = "The '{old_name}' keyword is deprecated, use '{new_name}' instead"\
+                        .format(old_name=old_arg_name, new_name=new_arg_name)
+
+                warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
+                if new_arg_name in kwargs:
+                    msg = "Can only specify '{old_name}' or '{new_name}', not both"\
+                        .format(old_name=old_arg_name, new_name=new_arg_name)
+                    raise ValueError(msg)
+                else:
+                    kwargs[new_arg_name] = new_arg_value
+            return func(*args, **kwargs)
+        return wrapper
+    return _deprecate_kwarg
+
 
 def inverseop(opname):
     comparison_ops = {

From d2291c763082428ad63bb4250d71a16b4116bf9d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 29 Nov 2017 14:44:58 +0100
Subject: [PATCH 851/899] fix #540 : renamed arg reverse as ascending in
 sorting methods

---
 larray/core/array.py       | 70 ++++++++++++++++++--------------------
 larray/tests/test_array.py |  4 +--
 2 files changed, 35 insertions(+), 39 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 7014820b7..183686e71 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -67,8 +67,8 @@
                                _range_to_slice, _translate_sheet_name, _translate_key_hdf)
 from larray.core.axis import Axis, AxisReference, AxisCollection, X, _make_axis
 from larray.util.misc import (table2str, size2str, basestring, izip, rproduct, ReprString, duplicates,
-                              float_error_handler_factory, _isnoneslice, light_product, unique_list, renamed_to,
-                              common_type)
+                              float_error_handler_factory, _isnoneslice, light_product, unique_list, common_type,
+                              renamed_to, deprecate_kwarg)
 
 
 nan = np.nan
@@ -1590,7 +1590,8 @@ def align(self, other, join='outer', fill_value=nan, axes=None):
         left_axes, right_axes = self.axes.align(other.axes, join=join, axes=axes)
         return self.reindex(left_axes, fill_value=fill_value), other.reindex(right_axes, fill_value=fill_value)
 
-    def sort_values(self, key=None, axis=None, reverse=False):
+    @deprecate_kwarg('reverse', 'ascending', {True: False, False: True})
+    def sort_values(self, key=None, axis=None, ascending=True):
         """Sorts values of the array.
 
         Parameters
@@ -1603,8 +1604,8 @@ def sort_values(self, key=None, axis=None, reverse=False):
         axis : int or str or Axis
             Axis along which to sort. Cannot be used in combination with `key` argument.
             Defaults to None.
-        reverse : bool, optional
-            Sort values in descending order. Defaults to False (ascending order).
+        ascending : bool, optional
+            Sort values in ascending order. Defaults to True.
 
         Returns
         -------
@@ -1639,7 +1640,7 @@ def sort_values(self, key=None, axis=None, reverse=False):
         a\\b  b2  b0  b1
          a0   4  10   2
          a1   1   3   7
-        >>> arr_2D.sort_values('a1', reverse=True)
+        >>> arr_2D.sort_values('a1', ascending=False)
         a\\b  b1  b0  b2
          a0   2  10   4
          a1   7   3   1
@@ -1710,17 +1711,18 @@ def sort_values(self, key=None, axis=None, reverse=False):
             indicesofsorted = np.argsort(res.data)
             res = res.i[indicesofsorted]
             axis = res.axes[0]
-        return res[axis[::-1]] if reverse else res
+        return res[axis[::-1]] if not ascending else res
 
-    def sort_axes(self, axes=None, reverse=False):
+    @deprecate_kwarg('reverse', 'ascending', {True: False, False: True})
+    def sort_axes(self, axes=None, ascending=True):
         """Sorts axes of the array.
 
         Parameters
         ----------
-        axes : axis reference (Axis, str, int) or list of them
-            Axis to sort. Defaults to all axes.
-        reverse : bool
-            Descending sort (default: False -- ascending)
+        axes : axis reference (Axis, str, int) or list of them, optional
+            Axes to sort. Defaults to all axes.
+        ascending : bool, optional
+            Sort axes in ascending order. Defaults to True.
 
         Returns
         -------
@@ -1729,15 +1731,13 @@ def sort_axes(self, axes=None, reverse=False):
 
         Examples
         --------
-        >>> nat = Axis('nat=EU,FO,BE')
-        >>> sex = Axis('sex=M,F')
-        >>> a = ndrange([nat, sex])
+        >>> a = ndrange("nat=EU,FO,BE; sex=M,F")
         >>> a
         nat\\sex  M  F
              EU  0  1
              FO  2  3
              BE  4  5
-        >>> a.sort_axes(X.sex)
+        >>> a.sort_axes('sex')
         nat\\sex  F  M
              EU  1  0
              FO  3  2
@@ -1747,12 +1747,12 @@ def sort_axes(self, axes=None, reverse=False):
              BE  5  4
              EU  1  0
              FO  3  2
-        >>> a.sort_axes((X.sex, X.nat))
+        >>> a.sort_axes(('sex', 'nat'))
         nat\\sex  F  M
              BE  5  4
              EU  1  0
              FO  3  2
-        >>> a.sort_axes(reverse=True)
+        >>> a.sort_axes(ascending=False)
         nat\\sex  M  F
              FO  2  3
              EU  0  1
@@ -1768,7 +1768,7 @@ def sort_axes(self, axes=None, reverse=False):
 
         def sort_key(axis):
             key = np.argsort(axis.labels)
-            if reverse:
+            if not ascending:
                 key = key[::-1]
             return axis.i[key]
 
@@ -3135,7 +3135,7 @@ def indexofmax(self, axis=None):
 
     posargmax = renamed_to(indexofmax, 'posargmax')
 
-    def labelsofsorted(self, axis=None, reverse=False, kind='quicksort'):
+    def labelsofsorted(self, axis=None, ascending=True, kind='quicksort'):
         """Returns the labels that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3145,8 +3145,8 @@ def labelsofsorted(self, axis=None, reverse=False, kind='quicksort'):
         ----------
         axis : int or str or Axis, optional
             Axis along which to sort. This can be omitted if array has only one axis.
-        reverse : bool, optional
-            Sort values in descending order. Defaults to False (ascending order).
+        ascending : bool, optional
+            Sort values in ascending order. Defaults to True.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3156,20 +3156,18 @@ def labelsofsorted(self, axis=None, reverse=False, kind='quicksort'):
 
         Examples
         --------
-        >>> nat = Axis('nat=BE,FR,IT')
-        >>> sex = Axis('sex=M,F')
-        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], [nat, sex])
+        >>> arr = LArray([[0, 1], [3, 2], [2, 5]], "nat=BE,FR,IT; sex=M,F")
         >>> arr
         nat\\sex  M  F
              BE  0  1
              FR  3  2
              IT  2  5
-        >>> arr.labelsofsorted(X.sex)
+        >>> arr.labelsofsorted('sex')
         nat\\sex  0  1
              BE  M  F
              FR  F  M
              IT  M  F
-        >>> arr.labelsofsorted(X.sex, reverse=True)
+        >>> arr.labelsofsorted('sex', ascending=False)
         nat\\sex  0  1
              BE  F  M
              FR  M  F
@@ -3180,12 +3178,12 @@ def labelsofsorted(self, axis=None, reverse=False, kind='quicksort'):
                 raise ValueError("array has ndim > 1 and no axis specified for labelsofsorted")
             axis = self.axes[0]
         axis = self.axes[axis]
-        pos = self.indicesofsorted(axis, reverse=reverse, kind=kind)
+        pos = self.indicesofsorted(axis, ascending=ascending, kind=kind)
         return LArray(axis.labels[pos.data], pos.axes)
 
     argsort = renamed_to(labelsofsorted, 'argsort')
 
-    def indicesofsorted(self, axis=None, reverse=False, kind='quicksort'):
+    def indicesofsorted(self, axis=None, ascending=True, kind='quicksort'):
         """Returns the indices that would sort this array.
 
         Performs an indirect sort along the given axis using the algorithm specified by the `kind` keyword. It returns
@@ -3195,8 +3193,8 @@ def indicesofsorted(self, axis=None, reverse=False, kind='quicksort'):
         ----------
         axis : int or str or Axis, optional
             Axis along which to sort. This can be omitted if array has only one axis.
-        reverse : bool, optional
-            Sort values in descending order. Defaults to False (ascending order).
+        ascending : bool, optional
+            Sort values in ascending order. Defaults to True.
         kind : {'quicksort', 'mergesort', 'heapsort'}, optional
             Sorting algorithm. Defaults to 'quicksort'.
 
@@ -3206,20 +3204,18 @@ def indicesofsorted(self, axis=None, reverse=False, kind='quicksort'):
 
         Examples
         --------
-        >>> nat = Axis('nat=BE,FR,IT')
-        >>> sex = Axis('sex=M,F')
-        >>> arr = LArray([[1, 5], [3, 2], [0, 4]], [nat, sex])
+        >>> arr = LArray([[1, 5], [3, 2], [0, 4]], "nat=BE,FR,IT; sex=M,F")
         >>> arr
         nat\\sex  M  F
              BE  1  5
              FR  3  2
              IT  0  4
-        >>> arr.indicesofsorted(X.nat)
+        >>> arr.indicesofsorted('nat')
         nat\\sex  M  F
               0  2  1
               1  0  2
               2  1  0
-        >>> arr.indicesofsorted(X.nat, reverse=True)
+        >>> arr.indicesofsorted('nat', ascending=False)
         nat\\sex  M  F
               0  1  0
               1  0  2
@@ -3231,7 +3227,7 @@ def indicesofsorted(self, axis=None, reverse=False, kind='quicksort'):
             axis = self.axes[0]
         axis, axis_idx = self.axes[axis], self.axes.index(axis)
         data = self.data.argsort(axis_idx, kind=kind)
-        if reverse:
+        if not ascending:
             reverser = tuple(slice(None, None, -1) if i == axis_idx else slice(None)
                              for i in range(self.ndim))
             data = data[reverser]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 25d46adf9..23eef03e9 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2291,8 +2291,8 @@ def test_sort_values(self):
         res = arr.sort_values()
         expected = LArray([-1, 0, 1, 3, 6], "a=a4,a0,a1,a3,a2")
         assert_array_equal(res, expected)
-        # reverse arg
-        res = arr.sort_values(reverse=True)
+        # ascending arg
+        res = arr.sort_values(ascending=False)
         expected = LArray([6, 3, 1, 0, -1], "a=a2,a3,a1,a0,a4")
         assert_array_equal(res, expected)
 

From 23aaf3dd7b6f5ca0a7270b0ad1362beabdd0aedd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 29 Nov 2017 15:57:49 +0100
Subject: [PATCH 852/899] updated changelog 0.27 --> added issue 540 + updated
 issue 490

---
 doc/source/changes/version_0_27.rst.inc | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 37eac15de..390cdc96d 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -3,6 +3,9 @@
 
 * renamed `Axis.translate` to `Axis.index` (closes :issue:`479`).
 
+* deprecated `reverse` argument of `sort_values` and `sort_axes` methods in favor of `ascending` argument
+  (defaults to True). Closes :issue:`540`.
+
 
 Backward incompatible changes
 -----------------------------
@@ -79,8 +82,8 @@ New features
 * added possibility to show only rows with differences when comparing arrays or sessions through the `compare`
   function in the viewer (closes :editor_issue:`102`).
 
-* added `reverse` argument to methods `indicesofsorted` and `labelsofsorted` to sort values in descending order
-  instead of ascending (default behavior):
+* added `ascending` argument to methods `indicesofsorted` and `labelsofsorted`.
+  Values are sorted in ascending order by default. Set to False to sort values in descending order:
 
     >>> arr = LArray([[1, 5], [3, 2], [0, 4]], "nat=BE,FR,IT; sex=M,F")
     >>> arr
@@ -88,12 +91,12 @@ New features
          BE  1  5
          FR  3  2
          IT  0  4
-    >>> arr.indicesofsorted("nat", reverse=True)
+    >>> arr.indicesofsorted("nat", ascending=False)
     nat\sex  M  F
           0  1  0
           1  0  2
           2  2  1
-    >>> arr.labelsofsorted("nat", reverse=True)
+    >>> arr.labelsofsorted("nat", ascending=False)
     nat\sex   M   F
           0  FR  BE
           1  BE  IT

From 6fef3a47a4e80cb4015e261e368deb96a11d717c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Wed, 29 Nov 2017 14:09:08 +0100
Subject: [PATCH 853/899] fixed usage of make_release.py

---
 make_release.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/make_release.py b/make_release.py
index bf8c4d970..51055b472 100644
--- a/make_release.py
+++ b/make_release.py
@@ -58,7 +58,7 @@ def announce_new_release(release_name):
         print("make release steps:", ', '.join(f.__name__ for f, _ in make_release_steps))
         print("update conda-forge feedstock steps:", ', '.join(f.__name__ for f, _ in update_feedstock_steps))
         print("or")
-        print("Usage: {} -a|--announce release_name")
+        print("Usage: {} -a|--announce release_name".format(argv[0]))
         sys.exit()
 
     if argv[1] == '-a' or argv[1] == '--announce':

From 0fed0e4c5a49b27747592a1c0f39ed66fc0e415d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 30 Nov 2017 10:34:34 +0100
Subject: [PATCH 854/899] a few last minute improvements to the changelog

---
 doc/source/changes/version_0_27.rst.inc | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_27.rst.inc b/doc/source/changes/version_0_27.rst.inc
index 390cdc96d..3d5f0eeff 100644
--- a/doc/source/changes/version_0_27.rst.inc
+++ b/doc/source/changes/version_0_27.rst.inc
@@ -68,7 +68,7 @@ New features
      a0   0    42    43   1   2
      a1   3    44    45   4   5
 
-* added new items in Help menu:
+* added new items in the Help menu of the editor:
 
   - `Report Issue...`: to report an issue on the Github project website.
   - `Users Discussion...`: redirect to the LArray Users Google Group (you need to be registered to participate).
@@ -76,11 +76,11 @@ New features
   - `About`: give information about the editor and the versions of packages currently installed on your computer
     (closes :editor_issue:`88`).
 
-* added item `Save Command History To Script` in File menu allowing to save executed commands in a new or existing
-  Python file.
+* added `Save Command History To Script` in the File menu of the editor allowing to save executed commands in a new or
+  existing Python file.
 
 * added possibility to show only rows with differences when comparing arrays or sessions through the `compare`
-  function in the viewer (closes :editor_issue:`102`).
+  function in the editor (closes :editor_issue:`102`).
 
 * added `ascending` argument to methods `indicesofsorted` and `labelsofsorted`.
   Values are sorted in ascending order by default. Set to False to sort values in descending order:
@@ -109,6 +109,7 @@ Miscellaneous improvements
 --------------------------
 
 * allowed to sort values of an array along an axis (closes :issue:`225`):
+
     >>> a = LArray([[10, 2, 4], [3, 7, 1]], "sex=M,F; nat=EU,FO,BE")
     >>> a
     sex\nat  EU  FO  BE
@@ -144,10 +145,6 @@ Miscellaneous improvements
     sex_nat  F_BE  M_FO  F_EU  M_BE  F_FO  M_EU
                 1     2     3     4     7    10
 
-* made the editor more responsive when switching to or changing the filter of large arrays (closes :issue:`93`).
-
-* added support for coloring numeric values for object arrays (e.g. arrays containing both strings and numbers).
-
 * when appending/prepending/extending an array, both the original array and the added values will be converted to a
   data type which can hold both without loss of information. It used to convert the added values to the type of the
   original array. For example, given an array of integers like:
@@ -168,6 +165,10 @@ Miscellaneous improvements
     a   a0   a1   a2   a3
        0.0  1.0  2.0  2.5
 
+* made the editor more responsive when switching to or changing the filter of large arrays (closes :issue:`93`).
+
+* added support for coloring numeric values for object arrays (e.g. arrays containing both strings and numbers).
+
 * documentation links in the Help menu of the editor point to the version of the documentation corresponding to
   the installed version of larray (closes :editor_issue:`105`).
 

From 1ea333f4115b803186f2dee72507b2467e8f1d68 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 30 Nov 2017 11:39:57 +0100
Subject: [PATCH 855/899] bump version to 0.27

---
 condarecipe/larray/meta.yaml | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index e72bd9471..b3da66c5b 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.27-dev
+  version: 0.27
 
 source:
-  git_tag: 0.27-dev
+  git_tag: 0.27
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/larray/__init__.py b/larray/__init__.py
index 5b620a64a..59e0e4b74 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = '0.27-dev'
+__version__ = '0.27'
diff --git a/setup.py b/setup.py
index 23c610865..b84226edd 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.27-dev'
+VERSION = '0.27'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 307f5cfa560cf136e662d29b5a15e6714fa9d2c4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=C3=ABtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 30 Nov 2017 11:40:04 +0100
Subject: [PATCH 856/899] update release date for 0.27

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 5bcd82c3c..e7b7905ea 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.27
 ============
 
-In development.
+Released on 2017-11-30.
 
 .. include:: ./changes/version_0_27.rst.inc
 

From e7dda973c06822703890c8777de88755b621ee6d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 30 Nov 2017 13:53:36 +0100
Subject: [PATCH 857/899] fix #546: require pandas version <0.21 is setup.py
 and meta.yaml

---
 condarecipe/larray/meta.yaml | 4 ++--
 setup.py                     | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index b3da66c5b..17e031bd0 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -18,13 +18,13 @@ requirements:
     - python
     - setuptools
     - numpy >=1.10
-    - pandas
+    - pandas >=0.13.1,<0.21
     - pytest-runner
 
   run:
     - python
     - numpy >=1.10
-    - pandas
+    - pandas >=0.13.1,<0.21
     - pytest-runner
 
 test:
diff --git a/setup.py b/setup.py
index b84226edd..26b1b1df3 100644
--- a/setup.py
+++ b/setup.py
@@ -14,7 +14,7 @@ def readlocal(fname):
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")
-INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1']
+INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1, <0.21']
 TESTS_REQUIRE = ['pytest']
 SETUP_REQUIRES = ['pytest-runner']
 

From 8263e56307dd458da2a8f08b1875f77e83a22bec Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 1 Dec 2017 14:32:54 +0100
Subject: [PATCH 858/899] bump version to 0.28-dev

---
 condarecipe/larray/meta.yaml            |  4 ++--
 doc/source/changes.rst                  |  8 ++++++++
 doc/source/changes/version_0_28.rst.inc | 18 ++++++++++++++++++
 larray/__init__.py                      |  2 +-
 setup.py                                |  2 +-
 5 files changed, 30 insertions(+), 4 deletions(-)
 create mode 100644 doc/source/changes/version_0_28.rst.inc

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 17e031bd0..3fb959416 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.27
+  version: 0.28-dev
 
 source:
-  git_tag: 0.27
+  git_tag: 0.28-dev
   git_url: https://github.com/liam2/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index e7b7905ea..4e465e827 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -1,6 +1,14 @@
 Change log
 ##########
 
+Version 0.28
+============
+
+In development.
+
+.. include:: ./changes/version_0_28.rst.inc
+
+
 Version 0.27
 ============
 
diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
new file mode 100644
index 000000000..40d5a3454
--- /dev/null
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -0,0 +1,18 @@
+New features
+------------
+
+* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+
+* added another feature.
+
+.. _misc:
+
+Miscellaneous improvements
+--------------------------
+
+* improved something.
+
+Fixes
+-----
+
+* fixed something (closes :issue:`1`).
\ No newline at end of file
diff --git a/larray/__init__.py b/larray/__init__.py
index 59e0e4b74..5f8ebb149 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = '0.27'
+__version__ = '0.28-dev'
diff --git a/setup.py b/setup.py
index 26b1b1df3..7fb5c8280 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.27'
+VERSION = '0.28-dev'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From f4981f0d7b32a9d1115a6b5a9715b90421fdfd6d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 5 Dec 2017 15:19:32 +0100
Subject: [PATCH 859/899] fix #532 : made growth_rate and diff methods to
 accepts a group as axis arg

---
 doc/source/changes/version_0_28.rst.inc | 18 ++++++-
 larray/core/array.py                    | 70 ++++++++++++++++---------
 2 files changed, 62 insertions(+), 26 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 40d5a3454..4adc90126 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -10,7 +10,23 @@
 Miscellaneous improvements
 --------------------------
 
-* improved something.
+* added possibility to call the methods `diff` and `growth_rate` with a group (closes :issue:`532`):
+
+    >>> data = [[2, 4, 5, 4, 6], [4, 6, 3, 6, 9]]
+    >>> a = LArray(data, "sex=M,F; year=2016..2020")
+    >>> a
+    sex\year  2016  2017  2018  2019  2020
+           M     2     4     5     4     6
+           F     4     6     3     6     9
+    >>> a.diff(a.year[2017:])
+    sex\year  2018  2019  2020
+           M     1    -1     2
+           F    -3     3     3
+    >>> a.growth_rate(a.year[2017:])
+    sex\year  2018  2019  2020
+           M  0.25  -0.2   0.5
+           F  -0.5   1.0   0.5
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 183686e71..01bab0559 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6466,8 +6466,8 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
 
         Parameters
         ----------
-        axis : int, str or Axis, optional
-            Axis along which the difference is taken. Defaults to the last axis.
+        axis : int, str, Group or Axis, optional
+            Axis or group along which the difference is taken. Defaults to the last axis.
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
         n : int, optional
@@ -6484,7 +6484,7 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum(X.type)
+        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum('type')
         >>> a
         sex\\type  type1  type2  type3
                M      0      1      3
@@ -6497,11 +6497,19 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
         sex\\type  type3
                M      1
                F      1
-        >>> a.diff(X.sex)
+        >>> a.diff('sex')
         sex\\type  type1  type2  type3
                F      3      6      9
+        >>> a.diff(a.type['type2':])
+        sex\\type  type3
+               M      2
+               F      5
         """
-        array = self
+        if isinstance(axis, Group):
+            array = self[axis]
+            axis = array.axes[axis.axis]
+        else:
+            array = self
         for _ in range(n):
             axis_obj = array.axes[axis]
             left = array[axis_obj.i[d:]]
@@ -6515,8 +6523,6 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
 
     # XXX: this is called pct_change in Pandas (but returns the same results, not results * 100, which I find silly).
     # Maybe change_rate would be better (because growth is not always positive)?
-    # TODO: add support for groups as axis (like aggregates)
-    # eg a.growth_rate(x.year[2018:]) instead of a[2018:].growth_rate(x.year)
     def growth_rate(self, axis=-1, d=1, label='upper'):
         """Calculates the growth along a given axis.
 
@@ -6524,8 +6530,8 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
 
         Parameters
         ----------
-        axis : int, str or Axis, optional
-            Axis along which the difference is taken. Defaults to the last axis.
+        axis : int, str, Group or Axis, optional
+            Axis or group along which the difference is taken. Defaults to the last axis.
         d : int, optional
             Periods to shift for forming difference. Defaults to 1.
         label : {'lower', 'upper'}, optional
@@ -6539,26 +6545,40 @@ def growth_rate(self, axis=-1, d=1, label='upper'):
 
         Examples
         --------
-        >>> sex = Axis('sex=M,F')
-        >>> year = Axis(range(2016, 2020), 'year')
-        >>> a = LArray([[1.0, 2.0, 3.0, 3.0], [2.0, 3.0, 1.5, 3.0]],
-        ...            [sex, year])
+        >>> data = [[2, 4, 5, 4, 6], [4, 6, 3, 6, 9]]
+        >>> a = LArray(data, "sex=M,F; year=2016..2020")
         >>> a
-        sex\\year  2016  2017  2018  2019
-               M   1.0   2.0   3.0   3.0
-               F   2.0   3.0   1.5   3.0
+        sex\\year  2016  2017  2018  2019  2020
+               M     2     4     5     4     6
+               F     4     6     3     6     9
         >>> a.growth_rate()
-        sex\\year  2017  2018  2019
-               M   1.0   0.5   0.0
-               F   0.5  -0.5   1.0
+        sex\\year  2017  2018  2019  2020
+               M   1.0  0.25  -0.2   0.5
+               F   0.5  -0.5   1.0   0.5
+        >>> a.growth_rate(label='lower')
+        sex\\year  2016  2017  2018  2019
+               M   1.0  0.25  -0.2   0.5
+               F   0.5  -0.5   1.0   0.5
         >>> a.growth_rate(d=2)
-        sex\\year   2018  2019
-               M    2.0   0.5
-               F  -0.25   0.0
+        sex\\year   2018  2019  2020
+               M    1.5   0.0   0.2
+               F  -0.25   0.0   2.0
+        >>> a.growth_rate('sex')
+        sex\\year  2016  2017  2018  2019  2020
+               F   1.0   0.5  -0.4   0.5   0.5
+        >>> a.growth_rate(a.year[2017:])
+        sex\\year  2018  2019  2020
+               M  0.25  -0.2   0.5
+               F  -0.5   1.0   0.5
         """
-        diff = self.diff(axis=axis, d=d, label=label)
-        axis_obj = self.axes[axis]
-        return diff / self[axis_obj.i[:-d]].drop_labels(axis)
+        if isinstance(axis, Group):
+            array = self[axis]
+            axis = array.axes[axis.axis]
+        else:
+            array = self
+            axis = array.axes[axis]
+        diff = array.diff(axis=axis, d=d, label=label)
+        return diff / array[axis.i[:-d]].drop_labels(axis)
 
     def compact(self):
         """Detects and removes "useless" axes (ie axes for which values are constant over the whole axis)

From 0b2a11cb1fad0b10014abf5f6ad8bb0467d5d4f7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 5 Dec 2017 15:59:33 +0100
Subject: [PATCH 860/899] fix #531 : added support for using groups in reindex

* AxisCollection.setitem also accept a group as value argument.
---
 doc/source/changes/version_0_28.rst.inc | 13 ++++
 larray/core/array.py                    | 91 ++++++++++++++-----------
 larray/core/axis.py                     |  3 +-
 larray/tests/test_array.py              |  9 +++
 4 files changed, 74 insertions(+), 42 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 4adc90126..04a87c57c 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -10,6 +10,19 @@
 Miscellaneous improvements
 --------------------------
 
+* added possibility to call the method `reindex` with a group (closes :issue:`531`):
+
+    >>> arr = ndtest((2, 2))
+    >>> arr
+    a\b  b0  b1
+     a0   0   1
+     a1   2   3
+    >>> b = Axis("b=b2..b0")
+    >>> arr.reindex('b', b['b1':])
+    a\b  b1  b0
+     a0   1   0
+     a1   3   2
+
 * added possibility to call the methods `diff` and `growth_rate` with a group (closes :issue:`532`):
 
     >>> data = [[2, 4, 5, 4, 6], [4, 6, 3, 6, 9]]
diff --git a/larray/core/array.py b/larray/core/array.py
index 01bab0559..1575be64f 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1312,9 +1312,8 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         axes_to_reindex : axis ref or dict {axis ref: axis} or list of tuple (axis ref, axis) \
                           or list of Axis or AxisCollection
             Axes to reindex. If a single axis reference is given, the `new_axis` argument must be provided.
-            If a list of Axis or an AxisCollection is given, all axes will be reindexed by the new ones.
-            In that case, the number of new axes must match the number of the old ones.
-        new_axis : int, str, list/tuple/array of str or Axis, optional
+            If a list of Axis or an AxisCollection is given, existing axes are reindexed while missing ones are added.
+        new_axis : int, str, list/tuple/array of str, Group or Axis, optional
             List of new labels or new axis if `axes_to_replace` contains a single axis reference.
         fill_value : scalar or LArray, optional
             Value used to fill cells corresponding to label combinations which were not present before reindexing.
@@ -1342,58 +1341,70 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         a\\b  b0  b1
          a0   0   1
          a1   2   3
+        >>> arr2 = ndrange('a=a1,a2;c=c0;b=b2..b0')
+        >>> arr2
+         a  c\\b  b2  b1  b0
+        a1   c0   0   1   2
+        a2   c0   3   4   5
 
-        Reindex one axis
+        Reindex an axis by passing labels (list or string)
 
-        >>> arr.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=-1)
-        a\\b  b1  b2  b0
-         a0   1  -1   0
-         a1   3  -1   2
-        >>> arr.reindex(X.b, 'b0..b2', fill_value=-1)
+        >>> arr.reindex('b', ['b1', 'b2', 'b0'])
+        a\\b   b1   b2   b0
+         a0  1.0  nan  0.0
+         a1  3.0  nan  2.0
+        >>> arr.reindex('b', 'b0..b2', fill_value=-1)
         a\\b  b0  b1  b2
          a0   0   1  -1
          a1   2   3  -1
 
-        Reindex several axes
+        Reindex using an axis from another array
 
-        >>> a = Axis(['a1', 'a2', 'a0'], 'a')
-        >>> b = Axis(['b2', 'b1', 'b0'], 'b')
-        >>> arr.reindex({'a': a, 'b': b}, fill_value=-1)
+        >>> arr.reindex('b', arr2.b, fill_value=-1)
         a\\b  b2  b1  b0
-         a1  -1   3   2
-         a2  -1  -1  -1
          a0  -1   1   0
-        >>> arr.reindex({X.a: a, X.b: b})
-        a\\b   b2   b1   b0
-         a1  nan  3.0  2.0
-         a2  nan  nan  nan
-         a0  nan  1.0  0.0
+         a1  -1   3   2
 
-        Reindex using axes from another array
+        Reindex using a subset of an axis
 
-        >>> arr2 = ndrange('a=a0,a1;c=c0..c0;b=b0..b2')
-        >>> arr2
-         a  c\\b  b0  b1  b2
-        a0   c0   0   1   2
-        a1   c0   3   4   5
-        >>> arr.reindex(arr2.axes)
-         a  b\\c   c0
-        a0   b0  0.0
-        a0   b1  1.0
-        a0   b2  nan
-        a1   b0  2.0
-        a1   b1  3.0
-        a1   b2  nan
-        >>> arr2.reindex(arr.axes)
-         a  c\\b   b0   b1
-        a0   c0  0.0  1.0
-        a1   c0  3.0  4.0
+       >>> arr.reindex('b', arr2.b['b1':], fill_value=-1)
+       a\\b  b1  b0
+        a0   1   0
+        a1   3   2
+
+        Reindex several axes
+
+        >>> arr.reindex({'a': arr2.a, 'b': arr2.b}, fill_value=-1)
+        a\\b  b2  b1  b0
+         a1  -1   3   2
+         a2  -1  -1  -1
+        >>> arr.reindex({'a': arr2.a, 'b': arr2.b['b1':]}, fill_value=-1)
+        a\\b  b1  b0
+         a1   3   2
+         a2  -1  -1
+
+        Reindex by passing a collection of axes
+
+        >>> arr.reindex(arr2.axes, fill_value=-1)
+         a  b\\c  c0
+        a1   b2  -1
+        a1   b1   3
+        a1   b0   2
+        a2   b2  -1
+        a2   b1  -1
+        a2   b0  -1
+        >>> arr2.reindex(arr.axes, fill_value=-1)
+         a  c\\b  b0  b1
+        a0   c0  -1  -1
+        a1   c0   2   1
         """
         # XXX: can't we move this to AxisCollection.replace?
-        if isinstance(new_axis, (int, basestring, list, tuple, np.ndarray)):
+        if new_axis is not None and not isinstance(new_axis, Axis):
             new_axis = Axis(new_axis, self.axes[axes_to_reindex].name)
-        if isinstance(new_axis, Axis):
+        elif isinstance(new_axis, Axis):
             new_axis = new_axis.rename(self.axes[axes_to_reindex].name)
+        if isinstance(axes_to_reindex, (list, tuple)) and all([isinstance(axis, Axis) for axis in axes_to_reindex]):
+            axes_to_reindex = AxisCollection(axes_to_reindex)
         if isinstance(axes_to_reindex, AxisCollection):
             assert new_axis is None
             # add extra axes if needed
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 5ebfb28cc..a123b6848 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1411,9 +1411,8 @@ def slice_bound(bound):
             for k, v in zip(key, value):
                 self[k] = v
         else:
-            if isinstance(value, (int, basestring, list, tuple)):
+            if not isinstance(value, Axis):
                 value = Axis(value)
-            assert isinstance(value, Axis)
             idx = self.index(key)
             step = 1 if idx >= 0 else -1
             self[idx:idx + step:step] = [value]
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 23eef03e9..e29493199 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2370,6 +2370,15 @@ def test_reindex(self):
                                                  v1   4   5   6   7
                                                  v3  -1  -1  -1  -1"""))
 
+        # passing a list of Axis
+        arr = ndtest((2, 2))
+        res = arr.reindex([Axis("a=a0,a1"), Axis("c=c0"), Axis("b=b1,b2")], fill_value=-1)
+        assert_array_equal(res, from_string(""" a  b\\c  c0
+                                               a0   b1   1
+                                               a0   b2  -1
+                                               a1   b1   3
+                                               a1   b2  -1"""))
+
     def test_append(self):
         la = self.small
         sex, lipro = la.axes

From 13a9f7c77abfe39dbe488985adcf3637d79d24f4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 5 Dec 2017 16:21:06 +0100
Subject: [PATCH 861/899] fix #504 : added memory used to LArray.info

---
 larray/core/array.py       | 19 +++++++++----------
 larray/core/session.py     |  3 +++
 larray/tests/test_array.py |  3 ++-
 3 files changed, 14 insertions(+), 11 deletions(-)

diff --git a/larray/core/array.py b/larray/core/array.py
index 1575be64f..c489f0f65 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -3263,26 +3263,25 @@ def info(self):
 
         Examples
         --------
-        >>> nat = Axis('nat=BE,FO')
-        >>> sex = Axis('sex=M,F')
-        >>> mat0 = ones([nat, sex])
+        >>> mat0 = LArray([[2.0, 5.0], [8.0, 6.0]], "nat=BE,FO; sex=F,M")
         >>> mat0.info
         2 x 2
          nat [2]: 'BE' 'FO'
-         sex [2]: 'M' 'F'
+         sex [2]: 'F' 'M'
         dtype: float64
-        >>> mat1 = LArray(np.ones((2, 2)), [nat, sex], 'test matrix')
+        memory used: 32 bytes
+        >>> mat1 = LArray([[2.0, 5.0], [8.0, 6.0]], "nat=BE,FO; sex=F,M", 'test matrix')
         >>> mat1.info
         test matrix
         2 x 2
          nat [2]: 'BE' 'FO'
-         sex [2]: 'M' 'F'
+         sex [2]: 'F' 'M'
         dtype: float64
+        memory used: 32 bytes
         """
-        if self.title:
-            return ReprString(self.title + '\n' + self.axes.info + '\ndtype: ' + self.dtype.name)
-        else:
-            return ReprString(self.axes.info + '\ndtype: ' + self.dtype.name)
+        str_info = '{}\n'.format(self.title) if self.title else ''
+        str_info += '{}\ndtype: {}\nmemory used: {}'.format(self.axes.info, self.dtype.name, self.memory_used)
+        return ReprString(str_info)
 
     def ratio(self, *axes):
         """Returns an array with all values divided by the sum of values along given axes.
diff --git a/larray/core/session.py b/larray/core/session.py
index ec866ae95..11742f2a9 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -628,14 +628,17 @@ def items(self):
         arr2: 4
          a [4]: 'a0' 'a1' 'a2' 'a3'
         dtype: int64
+        memory used: 32 bytes
         arr1: 2 x 2
          a [2]: 'a0' 'a1'
          b [2]: 'b0' 'b1'
         dtype: int64
+        memory used: 32 bytes
         arr3: 3 x 2
          a [3]: 'a0' 'a1' 'a2'
          b [2]: 'b0' 'b1'
         dtype: int64
+        memory used: 48 bytes
         """
         return self._objects.items()
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index e29493199..ac74feec9 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -167,7 +167,8 @@ def test_info(self):
  geo [44]: 'A11' 'A12' 'A13' ... 'A92' 'A93' 'A21'
  sex [2]: 'M' 'F'
  lipro [15]: 'P01' 'P02' 'P03' ... 'P13' 'P14' 'P15'
-dtype: float64"""
+dtype: float64
+memory used: 1.17 Mb"""
         self.assertEqual(self.larray.info, expected)
 
     def test_str(self):

From 948285b0aee8260f46fa5b7a43d62d544fdbf231 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ga=EBtan=20de=20Menten?= <gdementen@gmail.com>
Date: Thu, 7 Dec 2017 15:30:38 +0100
Subject: [PATCH 862/899] resurrect make_release.update_metapackage

---
 make_release.py | 34 +++++++++++++++++++++++++++++-----
 1 file changed, 29 insertions(+), 5 deletions(-)

diff --git a/make_release.py b/make_release.py
index 51055b472..ded571283 100644
--- a/make_release.py
+++ b/make_release.py
@@ -8,7 +8,9 @@
 
 import sys
 from os.path import abspath, dirname, join
-from releaser import make_release, update_feedstock, short, no
+
+from subprocess import check_call
+from releaser import make_release, update_feedstock, short, no, chdir, doechocall, set_config
 from releaser.make_release import steps_funcs as make_release_steps
 from releaser.update_feedstock import steps_funcs as update_feedstock_steps
 
@@ -26,6 +28,23 @@
 LARRAY_USERS_GROUP = "larray-users@googlegroups.com"
 
 
+def update_metapackage(context):
+    if not context['public_release']:
+        return
+
+    chdir(context['repository'])
+    version = short(context['release_name'])
+
+    def fill(s):
+        return s.format(version=version)
+
+    # TODO: this should be echocall(redirect_stdout=False)
+    print(fill('Updating larrayenv metapackage to version {version}'))
+    check_call(['conda', 'metapackage', 'larrayenv', version, '--dependencies', fill('larray =={version}'),
+                fill('larray-editor =={version}'), fill('larray_eurostat =={version}'),
+                'qtconsole', 'matplotlib', 'pyqt', 'qtpy', 'pytables', 'xlsxwriter', 'xlrd', 'openpyxl', 'xlwings'])
+
+
 # TODO : move to larrayenv project
 def announce_new_release(release_name):
     import win32com.client as win32
@@ -34,7 +53,7 @@ def announce_new_release(release_name):
     mail = outlook.CreateItem(0)
     mail.To = LARRAY_ANNOUNCE_MAILING_LIST
     mail.Subject = "LArray {} released".format(version)
-    mail.Body  = """\
+    mail.Body = """\
 Hello all, 
 
 We are pleased to announce that version {version} of LArray is now available. 
@@ -59,13 +78,18 @@ def announce_new_release(release_name):
         print("update conda-forge feedstock steps:", ', '.join(f.__name__ for f, _ in update_feedstock_steps))
         print("or")
         print("Usage: {} -a|--announce release_name".format(argv[0]))
+        print("Usage: {} -m release_name".format(argv[0]))
         sys.exit()
 
-    if argv[1] == '-a' or argv[1] == '--announce':
+    local_repository = abspath(dirname(__file__))
+    if argv[1] == '-m':
+        config = set_config(local_repository, PACKAGE_NAME, SRC_CODE, argv[2], branch='master',
+                            src_documentation=SRC_DOC, tmp_dir=TMP_PATH)
+        update_metapackage(config)
+    elif argv[1] == '-a' or argv[1] == '--announce':
         no("Is metapackage larrayenv updated?")
         announce_new_release(argv[2])
-    if argv[1] == '-c' or argv[1] == '--conda':
+    elif argv[1] == '-c' or argv[1] == '--conda':
         update_feedstock(GITHUB_REP, CONDA_FEEDSTOCK_REP, SRC_CODE, *argv[2:], tmp_dir=TMP_PATH_CONDA)
     else:
-        local_repository = abspath(dirname(__file__))
         make_release(local_repository, PACKAGE_NAME, SRC_CODE, *argv[1:], src_documentation=SRC_DOC, tmp_dir=TMP_PATH)

From e67ddea7d0bd68cc5f4946f2724a64a6a70696cd Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 18 Dec 2017 21:52:21 +0100
Subject: [PATCH 863/899] fix #557 : cleaned input & ouptut files in unittests

* moved input files required by unittests to /test/data

* all output files created during unittests are automatically deleted after finishing to run tests
---
 larray/core/array.py                          |  16 +--
 larray/inout/array.py                         |  17 +--
 larray/tests/common.py                        |  16 ++-
 larray/tests/{ => data}/test.xlsx             | Bin
 larray/tests/{ => data}/test1d.csv            |   0
 larray/tests/{ => data}/test1d_liam2.csv      |   0
 larray/tests/{ => data}/test2d.csv            |   0
 larray/tests/{ => data}/test2d_classic.csv    |   0
 larray/tests/{ => data}/test3d.csv            |   0
 larray/tests/{ => data}/test5d.csv            |   0
 larray/tests/{ => data}/test5d_eurostat.csv   |   0
 larray/tests/{ => data}/test5d_liam2.csv      |   0
 larray/tests/{ => data}/test_blank_cells.xlsx | Bin
 larray/tests/data/test_session.h5             | Bin 0 -> 14152 bytes
 larray/tests/test_array.py                    | 101 ++++++++++--------
 larray/tests/test_axis.py                     |   2 +-
 larray/tests/test_group.py                    |   3 +-
 larray/tests/test_session.py                  |  25 +++--
 setup.py                                      |  11 +-
 19 files changed, 102 insertions(+), 89 deletions(-)
 rename larray/tests/{ => data}/test.xlsx (100%)
 rename larray/tests/{ => data}/test1d.csv (100%)
 rename larray/tests/{ => data}/test1d_liam2.csv (100%)
 rename larray/tests/{ => data}/test2d.csv (100%)
 rename larray/tests/{ => data}/test2d_classic.csv (100%)
 rename larray/tests/{ => data}/test3d.csv (100%)
 rename larray/tests/{ => data}/test5d.csv (100%)
 rename larray/tests/{ => data}/test5d_eurostat.csv (100%)
 rename larray/tests/{ => data}/test5d_liam2.csv (100%)
 rename larray/tests/{ => data}/test_blank_cells.xlsx (100%)
 create mode 100644 larray/tests/data/test_session.h5

diff --git a/larray/core/array.py b/larray/core/array.py
index c489f0f65..4c30ec596 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5863,29 +5863,29 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dial
 
         Examples
         --------
-        >>> from larray.tests.common import abspath
-        >>> fpath = abspath('test.csv')
+        >>> tmpdir = getfixture('tmpdir')
+        >>> fname = os.path.join(tmpdir.strpath, 'test.csv')
         >>> a = ndrange('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex  M  F
              BE  0  1
              FO  2  3
-        >>> a.to_csv(fpath)
-        >>> with open(fpath) as f:
+        >>> a.to_csv(fname)
+        >>> with open(fname) as f:
         ...     print(f.read().strip())
         nat\\sex,M,F
         BE,0,1
         FO,2,3
-        >>> a.to_csv(fpath, sep=';', transpose=False)
-        >>> with open(fpath) as f:
+        >>> a.to_csv(fname, sep=';', transpose=False)
+        >>> with open(fname) as f:
         ...     print(f.read().strip())
         nat;sex;0
         BE;M;0
         BE;F;1
         FO;M;2
         FO;F;3
-        >>> a.to_csv(fpath, dialect='classic')
-        >>> with open(fpath) as f:
+        >>> a.to_csv(fname, dialect='classic')
+        >>> with open(fname) as f:
         ...     print(f.read().strip())
         nat,M,F
         BE,0,1
diff --git a/larray/inout/array.py b/larray/inout/array.py
index 83d514b12..cef9aaa5d 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -1,5 +1,6 @@
 from __future__ import absolute_import, print_function
 
+import os
 import csv
 import numpy as np
 import pandas as pd
@@ -292,23 +293,23 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
 
     Examples
     --------
-    >>> from larray.tests.common import abspath
     >>> from larray import ndrange
-    >>> fpath = abspath('test.csv')
+    >>> tmpdir = getfixture('tmpdir')
+    >>> fname = os.path.join(tmpdir.strpath, 'test.csv')
     >>> a = ndrange('nat=BE,FO;sex=M,F')
 
-    >>> a.to_csv(fpath)
-    >>> read_csv(fpath)
+    >>> a.to_csv(fname)
+    >>> read_csv(fname)
     nat\\sex  M  F
          BE  0  1
          FO  2  3
-    >>> read_csv(fpath, sort_columns=True)
+    >>> read_csv(fname, sort_columns=True)
     nat\\sex  F  M
          BE  1  0
          FO  3  2
-    >>> fpath = abspath('no_axis_name.csv')
-    >>> a.to_csv(fpath, dialect='classic')
-    >>> read_csv(fpath, nb_index=1)
+    >>> fname = 'no_axis_name.csv'
+    >>> a.to_csv(fname, dialect='classic')
+    >>> read_csv(fname, nb_index=1)
     nat\\{1}  M  F
          BE  0  1
          FO  2  3
diff --git a/larray/tests/common.py b/larray/tests/common.py
index 4e028a995..bb55900d4 100644
--- a/larray/tests/common.py
+++ b/larray/tests/common.py
@@ -7,13 +7,19 @@
 
 TESTDATADIR = os.path.dirname(__file__)
 
-
-def abspath(relpath):
+def inputpath(relpath):
     """
-    :param relpath: path relative to current module
-    :return: absolute path
+    Parameters
+    ----------
+    relpath: str
+        path relative to current module
+
+    Returns
+    -------
+    absolute path to input data file
     """
-    return os.path.join(TESTDATADIR, relpath)
+    return os.path.join(TESTDATADIR, 'data', relpath)
+
 
 # XXX: maybe we should force value groups to use tuple and families (group of groups to use lists, or vice versa, so
 # that we know which is which) or use a class, just for that? group(a, b, c) vs family(group(a), b, c)
diff --git a/larray/tests/test.xlsx b/larray/tests/data/test.xlsx
similarity index 100%
rename from larray/tests/test.xlsx
rename to larray/tests/data/test.xlsx
diff --git a/larray/tests/test1d.csv b/larray/tests/data/test1d.csv
similarity index 100%
rename from larray/tests/test1d.csv
rename to larray/tests/data/test1d.csv
diff --git a/larray/tests/test1d_liam2.csv b/larray/tests/data/test1d_liam2.csv
similarity index 100%
rename from larray/tests/test1d_liam2.csv
rename to larray/tests/data/test1d_liam2.csv
diff --git a/larray/tests/test2d.csv b/larray/tests/data/test2d.csv
similarity index 100%
rename from larray/tests/test2d.csv
rename to larray/tests/data/test2d.csv
diff --git a/larray/tests/test2d_classic.csv b/larray/tests/data/test2d_classic.csv
similarity index 100%
rename from larray/tests/test2d_classic.csv
rename to larray/tests/data/test2d_classic.csv
diff --git a/larray/tests/test3d.csv b/larray/tests/data/test3d.csv
similarity index 100%
rename from larray/tests/test3d.csv
rename to larray/tests/data/test3d.csv
diff --git a/larray/tests/test5d.csv b/larray/tests/data/test5d.csv
similarity index 100%
rename from larray/tests/test5d.csv
rename to larray/tests/data/test5d.csv
diff --git a/larray/tests/test5d_eurostat.csv b/larray/tests/data/test5d_eurostat.csv
similarity index 100%
rename from larray/tests/test5d_eurostat.csv
rename to larray/tests/data/test5d_eurostat.csv
diff --git a/larray/tests/test5d_liam2.csv b/larray/tests/data/test5d_liam2.csv
similarity index 100%
rename from larray/tests/test5d_liam2.csv
rename to larray/tests/data/test5d_liam2.csv
diff --git a/larray/tests/test_blank_cells.xlsx b/larray/tests/data/test_blank_cells.xlsx
similarity index 100%
rename from larray/tests/test_blank_cells.xlsx
rename to larray/tests/data/test_blank_cells.xlsx
diff --git a/larray/tests/data/test_session.h5 b/larray/tests/data/test_session.h5
new file mode 100644
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diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index ac74feec9..d482c2e44 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -13,7 +13,7 @@
 except ImportError:
     xw = None
 
-from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
+from larray.tests.common import inputpath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
 from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, from_frame, sequence, nan_equal)
@@ -88,6 +88,13 @@ def setUp(self):
         self.small_data = np.arange(30).reshape(2, 15)
         self.small = LArray(self.small_data, axes=(self.sex, self.lipro), title=self.small_title)
 
+    @pytest.fixture(autouse=True)
+    def setup(self, tmpdir):
+        self.tmpdir = tmpdir.strpath
+
+    def tmp_path(self, fname):
+        return os.path.join(self.tmpdir, fname)
+
     def test_ndrange(self):
         arr = ndrange('a=a0..a2')
         self.assertEqual(arr.shape, (3,))
@@ -2508,8 +2515,9 @@ def test_extend(self):
 
     def test_hdf_roundtrip(self):
         a = ndtest((2, 3))
-        a.to_hdf(abspath('test.h5'), 'a')
-        res = read_hdf(abspath('test.h5'), 'a')
+        fpath = self.tmp_path('test.h5')
+        a.to_hdf(fpath, 'a')
+        res = read_hdf(fpath, 'a')
 
         self.assertEqual(a.ndim, 2)
         self.assertEqual(a.shape, (2, 3))
@@ -2517,10 +2525,11 @@ def test_hdf_roundtrip(self):
         assert_array_equal(res, a)
 
         # issue 72: int-like strings should not be parsed (should round-trip correctly)
+        fpath = self.tmp_path('issue72.h5')
         a = from_lists([['axis', '10', '20'],
                         ['',        0,    1]])
-        a.to_hdf(abspath('issue72.h5'), 'a')
-        res = read_hdf(abspath('issue72.h5'), 'a')
+        a.to_hdf(fpath, 'a')
+        res = read_hdf(fpath, 'a')
         self.assertEqual(res.ndim, 1)
         axis = res.axes[0]
         self.assertEqual(axis.name, 'axis')
@@ -2528,7 +2537,7 @@ def test_hdf_roundtrip(self):
 
         # passing group as key to to_hdf
         a3 = ndtest((4, 3, 4))
-        fpath = abspath('test.h5')
+        fpath = self.tmp_path('test.h5')
         os.remove(fpath)
         # single element group
         for label in a3.a:
@@ -2572,36 +2581,36 @@ def test_from_string(self):
         assert_array_equal(res, expected)
 
     def test_read_csv(self):
-        res = read_csv(abspath('test1d.csv'))
+        res = read_csv(inputpath('test1d.csv'))
         assert_array_equal(res, ndrange('time=2007,2010,2013'))
 
-        res = read_csv(abspath('test2d.csv'))
+        res = read_csv(inputpath('test2d.csv'))
         assert_array_equal(res, ndrange('a=0,1;b=0,1,2'))
 
-        res = read_csv(abspath('test3d.csv'))
+        res = read_csv(inputpath('test3d.csv'))
         expected = ndrange('age=0..3;sex=F,M;time=2015..2017') + 0.5
         assert_array_equal(res, expected)
 
-        la = read_csv(abspath('test5d.csv'))
+        la = read_csv(inputpath('test5d.csv'))
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
-        la = read_csv(abspath('test2d_classic.csv'))
+        la = read_csv(inputpath('test2d_classic.csv'))
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', None])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_csv(abspath('test1d_liam2.csv'), dialect='liam2')
+        la = read_csv(inputpath('test1d_liam2.csv'), dialect='liam2')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
-        la = read_csv(abspath('test5d_liam2.csv'), dialect='liam2')
+        la = read_csv(inputpath('test5d_liam2.csv'), dialect='liam2')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
@@ -2617,7 +2626,7 @@ def test_read_csv(self):
         assert_array_equal(res, ndtest(3))
 
     def test_read_eurostat(self):
-        la = read_eurostat(abspath('test5d_eurostat.csv'))
+        la = read_eurostat(inputpath('test5d_eurostat.csv'))
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
@@ -2627,32 +2636,32 @@ def test_read_eurostat(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_read_excel_xlwings(self):
-        la = read_excel(abspath('test.xlsx'), '1d')
+        la = read_excel(inputpath('test.xlsx'), '1d')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d')
+        la = read_excel(inputpath('test.xlsx'), '2d')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '3d')
+        la = read_excel(inputpath('test.xlsx'), '3d')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '5d')
+        la = read_excel(inputpath('test.xlsx'), '5d')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d_classic')
+        la = read_excel(inputpath('test.xlsx'), '2d_classic')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', None])
@@ -2661,14 +2670,14 @@ def test_read_excel_xlwings(self):
         # passing a Group as sheetname arg
         axis = Axis('dim=1d,2d,3d,5d')
 
-        la = read_excel(abspath('test.xlsx'), axis['1d'])
+        la = read_excel(inputpath('test.xlsx'), axis['1d'])
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
         # fill_value argument
-        la = read_excel(abspath('test.xlsx'), 'missing_values', fill_value=42)
+        la = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42)
         assert la.ndim == 3
         assert la.shape == (5, 2, 3)
         assert la.axes.names == ['age', 'sex', 'time']
@@ -2678,10 +2687,10 @@ def test_read_excel_xlwings(self):
         # invalid keyword argument
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
                                                 "the xlwings backend"):
-            read_excel(abspath('test.xlsx'), engine='xlwings', dtype=float)
+            read_excel(inputpath('test.xlsx'), engine='xlwings', dtype=float)
 
         # Excel sheet with blank cells on right/bottom border of the array to read
-        fpath = abspath('test_blank_cells.xlsx')
+        fpath = inputpath('test_blank_cells.xlsx')
         good = read_excel(fpath, 'good')
         bad1 = read_excel(fpath, 'blanksafter_morerowsthancols')
         bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows')
@@ -2697,51 +2706,51 @@ def test_read_excel_xlwings(self):
         assert_array_equal(bad4, good2)
 
     def test_read_excel_pandas(self):
-        la = read_excel(abspath('test.xlsx'), '1d', engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '1d', engine='xlrd')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d', nb_index=1, engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '2d', nb_index=1, engine='xlrd')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d', engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '2d', engine='xlrd')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', 'time'])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '3d', engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '3d', engine='xlrd')
         self.assertEqual(la.ndim, 3)
         self.assertEqual(la.shape, (5, 2, 3))
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '5d', engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '5d', engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
-        la = read_excel(abspath('test.xlsx'), '2d_classic', engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '2d_classic', engine='xlrd')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', None])
@@ -2750,14 +2759,14 @@ def test_read_excel_pandas(self):
         # passing a Group as sheetname arg
         axis = Axis('dim=1d,2d,3d,5d')
 
-        la = read_excel(abspath('test.xlsx'), axis['1d'], engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')
         self.assertEqual(la.ndim, 1)
         self.assertEqual(la.shape, (3,))
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
         # Excel sheet with blank cells on right/bottom border of the array to read
-        fpath = abspath('test_blank_cells.xlsx')
+        fpath = inputpath('test_blank_cells.xlsx')
         good1 = read_excel(fpath, 'good', engine='xlrd')
         bad1 = read_excel(fpath, 'blanksafter_morerowsthancols', engine='xlrd')
         bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows', engine='xlrd')
@@ -3156,36 +3165,36 @@ def test_from_frame(self):
 
 
     def test_to_csv(self):
-        la = read_csv(abspath('test5d.csv'))
+        la = read_csv(inputpath('test5d.csv'))
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
         assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
                            [3722, 3395, 3347])
 
-        la.to_csv(abspath('out.csv'))
+        la.to_csv(self.tmp_path('out.csv'))
         result = ['arr,age,sex,nat\\time,2007,2010,2013\n',
                   '1,0,F,1,3722,3395,3347\n',
                   '1,0,F,2,338,316,323\n']
-        with open(abspath('out.csv')) as f:
+        with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la.to_csv(abspath('out.csv'), transpose=False)
+        la.to_csv(self.tmp_path('out.csv'), transpose=False)
         result = ['arr,age,sex,nat,time,0\n',
                   '1,0,F,1,2007,3722\n',
                   '1,0,F,1,2010,3395\n']
-        with open(abspath('out.csv')) as f:
+        with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
         la = ndrange([Axis('time=2015..2017')])
-        la.to_csv(abspath('test_out1d.csv'))
+        la.to_csv(self.tmp_path('test_out1d.csv'))
         result = ['time,2015,2016,2017\n',
                   ',0,1,2\n']
-        with open(abspath('test_out1d.csv')) as f:
+        with open(self.tmp_path('test_out1d.csv')) as f:
             self.assertEqual(f.readlines(), result)
 
     def test_to_excel_xlsxwriter(self):
-        fpath = abspath('test_to_excel_xlsxwriter.xlsx')
+        fpath = self.tmp_path('test_to_excel_xlsxwriter.xlsx')
 
         # 1D
         a1 = ndtest(3)
@@ -3314,7 +3323,7 @@ def test_to_excel_xlsxwriter(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_to_excel_xlwings(self):
-        fpath = abspath('test_to_excel_xlwings.xlsx')
+        fpath = self.tmp_path('test_to_excel_xlwings.xlsx')
 
         # 1D
         a1 = ndtest(3)
@@ -3398,7 +3407,7 @@ def test_to_excel_xlwings(self):
     def test_open_excel(self):
         # 1) Create new file
         # ==================
-        fpath = abspath('should_not_extist.xlsx')
+        fpath = inputpath('should_not_extist.xlsx')
         # overwrite_file must be set to True to create a new file
         with pytest.raises(ValueError):
             open_excel(fpath)
@@ -3483,7 +3492,7 @@ def test_open_excel(self):
             # the third axis should have the same labels (but not the same name obviously)
             assert_array_equal(res.axes[2].labels, a3.axes[2].labels)
 
-        with open_excel(abspath('test.xlsx')) as wb:
+        with open_excel(inputpath('test.xlsx')) as wb:
             res = wb['2d_classic'].load()
             assert res.ndim == 2
             assert res.shape == (5, 3)
@@ -3556,7 +3565,7 @@ def test_open_excel(self):
         # 4) Blank cells
         # ========================
         # Excel sheet with blank cells on right/bottom border of the array to read
-        fpath = abspath('test_blank_cells.xlsx')
+        fpath = inputpath('test_blank_cells.xlsx')
         with open_excel(fpath) as wb:
             good = wb['good'].load()
             bad1 = wb['blanksafter_morerowsthancols'].load()
@@ -3573,7 +3582,7 @@ def test_open_excel(self):
         # 5) crash test
         # =============
         arr = ndtest((2, 2))
-        fpath = abspath('temporary_test_file.xlsx')
+        fpath = self.tmp_path('temporary_test_file.xlsx')
         # create and save a test file
         with open_excel(fpath, overwrite_file=True) as wb:
             wb['arr'] = arr.dump()
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index 5f66013bf..b1299b322 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -5,7 +5,7 @@
 import pytest
 import numpy as np
 
-from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray.tests.common import assert_array_equal
 from larray import Axis, AxisCollection, LGroup, IGroup
 
 
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index ce2c4987f..3d37e3d0a 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -5,9 +5,8 @@
 import pytest
 import numpy as np
 
-from larray.tests.common import abspath, assert_array_equal, assert_array_nan_equal
+from larray.tests.common import assert_array_equal
 from larray import Axis, LGroup, LSet
-from larray.core.group import Group
 
 
 class TestLGroup(TestCase):
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 54d7cc84a..96701e021 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -8,7 +8,7 @@
 import pandas as pd
 import pytest
 
-from larray.tests.common import assert_array_nan_equal, abspath
+from larray.tests.common import assert_array_nan_equal, inputpath
 from larray import Session, Axis, LArray, ndrange, isnan, larray_equal, zeros_like
 from larray.util.misc import pickle
 
@@ -43,6 +43,13 @@ def setUp(self):
             ('e', self.e), ('g', self.g), ('f', self.f),
         ])
 
+    @pytest.fixture(autouse=True)
+    def output_dir(self, tmpdir_factory):
+        self.tmpdir = tmpdir_factory.mktemp('tmp_session').strpath
+
+    def get_path(self, fname):
+        return os.path.join(self.tmpdir, fname)
+
     def assertObjListEqual(self, got, expected):
         self.assertEqual(len(got), len(expected))
         for e1, e2 in zip(got, expected):
@@ -53,7 +60,7 @@ def test_init(self):
                     e=self.e, f=self.f, g=self.g)
         self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g'])
 
-        s = Session(abspath('test_session.h5'))
+        s = Session(inputpath('test_session.h5'))
         self.assertEqual(s.names, ['e', 'f', 'g'])
 
         # this needs xlwings installed
@@ -137,7 +144,7 @@ def test_names(self):
         self.assertEqual(s.names, ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'])
 
     def test_h5_io(self):
-        fpath = abspath('test_session.h5')
+        fpath = self.get_path('test_session.h5')
         self.session.save(fpath)
 
         s = Session()
@@ -156,7 +163,7 @@ def test_h5_io(self):
         self.assertEqual(list(s.keys()), ['e', 'f'])
 
     def test_xlsx_pandas_io(self):
-        fpath = abspath('test_session.xlsx')
+        fpath = self.get_path('test_session.xlsx')
         self.session.save(fpath, engine='pandas_excel')
 
         s = Session()
@@ -169,7 +176,7 @@ def test_xlsx_pandas_io(self):
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
         assert_array_nan_equal(s['e'], self.e2)
 
-        fpath = abspath('test_session_ef.xlsx')
+        fpath = self.get_path('test_session_ef.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='pandas_excel')
         s = Session()
         s.load(fpath, engine='pandas_excel')
@@ -177,7 +184,7 @@ def test_xlsx_pandas_io(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_xlsx_xlwings_io(self):
-        fpath = abspath('test_session_xw.xlsx')
+        fpath = self.get_path('test_session_xw.xlsx')
         # test save when Excel file does not exist
         self.session.save(fpath, engine='xlwings_excel')
 
@@ -192,7 +199,7 @@ def test_xlsx_xlwings_io(self):
         self.assertEqual(list(s.keys()), ['e', 'g', 'f'])
         assert_array_nan_equal(s['e'], self.e2)
 
-        fpath = abspath('test_session_ef_xw.xlsx')
+        fpath = self.get_path('test_session_ef_xw.xlsx')
         self.session.save(fpath, ['e', 'f'], engine='xlwings_excel')
         s = Session()
         s.load(fpath, engine='xlwings_excel')
@@ -200,7 +207,7 @@ def test_xlsx_xlwings_io(self):
 
     def test_csv_io(self):
         try:
-            fpath = abspath('test_session_csv')
+            fpath = self.get_path('test_session_csv')
             self.session.to_csv(fpath)
 
             # test loading a directory
@@ -233,7 +240,7 @@ def test_csv_io(self):
             shutil.rmtree(fpath)
 
     def test_pickle_io(self):
-        fpath = abspath('test_session.pkl')
+        fpath = self.get_path('test_session.pkl')
         self.session.save(fpath)
 
         s = Session()
diff --git a/setup.py b/setup.py
index 7fb5c8280..5aa2226db 100644
--- a/setup.py
+++ b/setup.py
@@ -20,16 +20,7 @@ def readlocal(fname):
 
 LICENSE = 'GPLv3'
 URL = 'https://github.com/liam2/larray'
-PACKAGE_DATA = {'larray': ['tests/test.xlsx',
-                           'tests/test_blank_cells.xlsx',
-                           'tests/test1d.csv',
-                           'tests/test1d_liam2.csv',
-                           'tests/test2d.csv',
-                           'tests/test3d.csv',
-                           'tests/test5d.csv',
-                           'tests/test5d_eurostat.csv',
-                           'tests/test5d_liam2.csv',
-                           'tests/data/*']}
+PACKAGE_DATA = {'larray': ['tests/data/*']}
 
 CLASSIFIERS = [
     'Development Status :: 4 - Beta',

From fde42f2a1c03622e3ccf74c8aa1d02a9b05b2b4c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 18 Dec 2017 21:55:15 +0100
Subject: [PATCH 864/899] fix #409 : added documentation for Workbook class

---
 doc/source/api.rst       |  8 ++++
 larray/inout/__init__.py |  2 +-
 larray/inout/excel.py    | 98 ++++++++++++++++++++++++++++++++++++----
 3 files changed, 99 insertions(+), 9 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index d9d65679a..7b232d0d1 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -494,6 +494,14 @@ Excel
 
    open_excel
 
+.. autosummary::
+   :toctree: _generated/
+
+   Workbook
+   Workbook.sheet_names
+   Workbook.save
+   Workbook.close
+
 .. _api-misc:
 
 Miscellaneous
diff --git a/larray/inout/__init__.py b/larray/inout/__init__.py
index f640129a6..ad1239606 100644
--- a/larray/inout/__init__.py
+++ b/larray/inout/__init__.py
@@ -1,5 +1,5 @@
 from __future__ import absolute_import, division, print_function
 
-from larray.inout.excel import open_excel
+from larray.inout.excel import *
 from larray.inout.array import *
 from larray.inout.session import *
diff --git a/larray/inout/excel.py b/larray/inout/excel.py
index 0cd27d03f..63418b8f6 100644
--- a/larray/inout/excel.py
+++ b/larray/inout/excel.py
@@ -1,3 +1,9 @@
+# -*- coding: utf8 -*-
+from __future__ import absolute_import, print_function
+
+__all__ = ['open_excel', 'Workbook']
+
+
 import os
 import atexit
 
@@ -9,8 +15,9 @@
 
 from larray.core.group import _translate_sheet_name
 from larray.core.axis import Axis
-from larray.core.array import LArray
+from larray.core.array import LArray, ndtest
 from larray.inout.array import df_aslarray, from_lists
+from larray.util.misc import PY2
 
 string_types = (str,)
 
@@ -59,7 +66,6 @@ def write_value(cls, value, options):
     # TODO: replace overwrite_file by mode='r'|'w'|'a' the day xlwings will support a read-only mode
     class Workbook(object):
         def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
-            """See open_excel doc for parameters"""
             global global_app
 
             xw_wkb = None
@@ -226,10 +232,8 @@ def save(self, path=None):
             self.xw_wkb.save(path=path)
 
         def close(self):
-            """
-            Close the workbook in Excel. This will not quit the Excel instance, even if this was the last workbook of
-            that Excel instance.
-            """
+            # Close the workbook in Excel.
+            # This will not quit the Excel instance, even if this was the last workbook of that Excel instance.
             if self.filepath is not None and os.path.isfile(self.xw_wkb.fullname):
                 tmp_file = self.xw_wkb.fullname
                 self.xw_wkb.close()
@@ -555,13 +559,92 @@ def load(self, header=True, convert_float=True, nb_index=None, index_col=None, f
             else:
                 return LArray(list_data)
 
-    # XXX: remove this function?
+    # XXX: deprecate this function?
     def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
         return Workbook(filepath, overwrite_file, visible, silent, app)
 else:
+    class Workbook(object):
+        def __init__(self, filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
+            raise Exception("Workbook class cannot be instanciated because xlwings is not installed")
+
+        def sheet_names(self):
+            raise Exception()
+
+        def save(self, path=None):
+            raise Exception()
+
+        def close(self):
+            raise Exception()
+
     def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, app=None):
         raise Exception("open_excel() is not available because xlwings is not installed")
 
+
+# We define Workbook and open_excel documentation here since Readthedocs runs on Linux
+if not PY2:
+    Workbook.__doc__ = """
+Excel Workbook.
+
+See Also
+--------
+open_excel
+"""
+
+    Workbook.sheet_names.__doc__ = """
+Returns the names of the Excel sheets.
+
+Examples
+--------
+>>> arr, arr2, arr3 = ndtest((3, 3)), ndtest((2, 2)), ndtest(4)
+>>> with open_excel('excel_file.xlsx', overwrite_file=True) as wb:   # doctest: +SKIP
+...     wb['arr'] = arr.dump()
+...     wb['arr2'] = arr2.dump()
+...     wb['arr3'] = arr3.dump()
+...     wb.save()
+... 
+...     wb.sheet_names()
+['arr', 'arr2', 'arr3']
+"""
+
+    Workbook.save.__doc__ = """
+Saves the Workbook. 
+
+If a path is being provided, this works like SaveAs() in Excel. 
+If no path is specified and if the file hasn’t been saved previously, 
+it’s being saved in the current working directory with the current filename. 
+Existing files are overwritten without prompting.
+
+Parameters
+----------
+path : str, optional
+    Full path to the workbook. Defaults to None.
+    
+Examples
+--------
+>>> arr, arr2, arr3 = ndtest((3, 3)), ndtest((2, 2)), ndtest(4)
+>>> with open_excel('excel_file.xlsx', overwrite_file=True) as wb:   # doctest: +SKIP
+...     wb['arr'] = arr.dump()
+...     wb['arr2'] = arr2.dump()
+...     wb['arr3'] = arr3.dump()
+...     wb.save()
+"""
+
+    Workbook.close.__doc__ = """
+Close the workbook in Excel.
+
+Need to be called if the workbook has been opened without the `with` statement.
+
+Examples
+--------
+>>> arr, arr2, arr3 = ndtest((3, 3)), ndtest((2, 2)), ndtest(4)   # doctest: +SKIP
+>>> wb = open_excel('excel_file.xlsx', overwrite_file=True)       # doctest: +SKIP
+>>> wb['arr'] = arr.dump()                                        # doctest: +SKIP
+>>> wb['arr2'] = arr2.dump()                                      # doctest: +SKIP
+>>> wb['arr3'] = arr3.dump()                                      # doctest: +SKIP
+>>> wb.save()                                                     # doctest: +SKIP
+>>> wb.close()                                                    # doctest: +SKIP
+"""
+
 open_excel.__doc__ = """
 Open an Excel workbook
 
@@ -592,7 +675,6 @@ def open_excel(filepath=None, overwrite_file=False, visible=None, silent=None, a
 
 Examples
 --------
->>> from larray import *
 >>> arr = ndtest((3, 3))
 >>> arr
 a\\b  b0  b1  b2

From 410a11859d3e2acfca22b4205da6433859fc436b Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 1 Dec 2017 17:19:25 +0100
Subject: [PATCH 865/899] fix #534 : deprecated ndrange in favor of sequence +
 allowed to pass a collection of axes to ndtest

---
 doc/source/api.rst                      |   1 -
 doc/source/changes/version_0_28.rst.inc |   7 +
 doc/source/getting_started.rst          |   7 +-
 doc/source/tutorial.rst                 |  10 +-
 larray/core/array.py                    | 229 ++++++++++--------------
 larray/core/axis.py                     |   8 +-
 larray/extra/ipfp.py                    |   2 +-
 larray/inout/array.py                   |   2 +-
 larray/tests/test_array.py              | 168 ++++++++---------
 larray/tests/test_excel.py              |  10 +-
 larray/tests/test_ipfp.py               |   6 +-
 larray/tests/test_session.py            |  10 +-
 12 files changed, 219 insertions(+), 241 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 7b232d0d1..a7c8d2377 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -239,7 +239,6 @@ Array Creation Functions
    :toctree: _generated/
 
    sequence
-   ndrange
    ndtest
    zeros
    zeros_like
diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 04a87c57c..6d3d064c1 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -40,6 +40,13 @@ Miscellaneous improvements
            M  0.25  -0.2   0.5
            F  -0.5   1.0   0.5
 
+* function `ndrange` has been deprecated in favor of `sequence` or `ndtest`.
+  Also, an Axis or a list/tuple/collection of axes can be passed to the `ndtest` function (closes:issue:`534`):
+
+    >>> ndtest("nat=BE,FO;sex=M,F")
+    nat\sex  M  F
+         BE  0  1
+         FO  2  3
 
 Fixes
 -----
diff --git a/doc/source/getting_started.rst b/doc/source/getting_started.rst
index e14edfc53..4c13440a4 100644
--- a/doc/source/getting_started.rst
+++ b/doc/source/getting_started.rst
@@ -81,8 +81,7 @@ Arrays can be generated through dedicated functions:
 * :py:func:`ones` : fills an array with 1
 * :py:func:`full` : fills an array with a given
 * :py:func:`eye` : identity matrix
-* :py:func:`ndrange` : fills an array with increasing numbers (mostly for testing)
-* :py:func:`ndtest` : same as ndrange but with axes generated automatically (for testing)
+* :py:func:`ndtest` : creates a test array with increasing numbers as data
 * :py:func:`sequence` : creates an array by sequentially applying modifications to the array along axis.
 
 .. ipython:: python
@@ -167,8 +166,8 @@ Let's continue with subsets:
 
 .. ipython:: python
 
-    # equivalent to: arr2 = ndrange("a=label0,label1;b=label1,label2")
-    arr2 = ndrange([Axis(["label0", "label1"], "a"), Axis(["label1", "label2"], "b")])
+    # equivalent to: arr2 = ndtest("a=label0,label1;b=label1,label2")
+    arr2 = ndtest([Axis(["label0", "label1"], "a"), Axis(["label1", "label2"], "b")])
     arr2
 
     # equivalent to: arr2["label0", "b[label1]"]
diff --git a/doc/source/tutorial.rst b/doc/source/tutorial.rst
index ec18e6ebd..e858fffa0 100644
--- a/doc/source/tutorial.rst
+++ b/doc/source/tutorial.rst
@@ -70,9 +70,7 @@ Array creation functions
 
 Arrays can also be generated in an easier way through creation functions:
 
--  :py:func:`ndrange` : fills an array with increasing numbers
--  :py:func:`ndtest` : same as ndrange but with axes generated automatically
-   (for testing)
+-  :py:func:`ndtest` : creates a test array with increasing numbers as data
 -  :py:func:`empty` : creates an array but leaves its allocated memory
    unchanged (i.e., it contains "garbage". Be careful !)
 -  :py:func:`zeros` : fills an array with 0
@@ -92,7 +90,7 @@ Optionally, the type of data stored by the array can be specified using argument
 .. ipython:: python
 
     # start defines the starting value of data
-    ndrange(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
+    ndtest(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
 
 .. ipython:: python
 
@@ -242,7 +240,7 @@ more Excel IO
 
     # create a 3 x 2 x 3 array 
     age, sex, time = Axis('age=0..2'), Axis('sex=M,F'), Axis('time=2007..2009')
-    arr = ndrange([age, sex, time])
+    arr = ndtest([age, sex, time])
     arr
 
 Write Arrays
@@ -494,7 +492,7 @@ It only matters for output.
     # let us now create an array with the same labels on several axes
     age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')
 
-    arr_ws = ndrange([age, weight, size])
+    arr_ws = ndtest([age, weight, size])
 
 .. ipython::
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 4c30ec596..1a3049011 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -272,12 +272,12 @@ def concat(arrays, axis=0, dtype=None):
     a\\b  b0  b1  b2
      a0   0   1   2
      a1   3   4   5
-    >>> arr2 = ndrange('a=a0,a1;b=b3')
+    >>> arr2 = ndtest('a=a0,a1;b=b3')
     >>> arr2
     a\\b  b3
      a0   0
      a1   1
-    >>> arr3 = ndrange('b=b4,b5')
+    >>> arr3 = ndtest('b=b4,b5')
     >>> arr3
     b  b4  b5
         0   1
@@ -716,7 +716,7 @@ class LArray(ABCLArray):
     See Also
     --------
     sequence : Create a LArray by sequentially applying modifications to the array along axis.
-    ndrange : Create a LArray with increasing elements.
+    ndtest : Create a test LArray with increasing elements.
     zeros : Create a LArray, each element of which is zero.
     ones : Create a LArray, each element of which is 1.
     full : Create a LArray filled with a given value.
@@ -875,7 +875,7 @@ def set_axes(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs)
         row\\column  c0  c1  c2
                 r0   0   1   2
                 r1   3   4   5
-        >>> arr2 = ndrange([row, column])
+        >>> arr2 = ndtest([row, column])
         >>> arr.set_axes(arr2.axes)
         row\\column  c0  c1  c2
                 r0   0   1   2
@@ -1262,7 +1262,7 @@ def rename(self, renames=None, to=None, inplace=False, **kwargs):
         --------
         >>> nat = Axis('nat=BE,FO')
         >>> sex = Axis('sex=M,F')
-        >>> arr = ndrange([nat, sex])
+        >>> arr = ndtest([nat, sex])
         >>> arr
         nat\\sex  M  F
              BE  0  1
@@ -1742,7 +1742,7 @@ def sort_axes(self, axes=None, ascending=True):
 
         Examples
         --------
-        >>> a = ndrange("nat=EU,FO,BE; sex=M,F")
+        >>> a = ndtest("nat=EU,FO,BE; sex=M,F")
         >>> a
         nat\\sex  M  F
              EU  0  1
@@ -1966,7 +1966,7 @@ def _translated_key(self, key, bool_stuff=False):
 
                 # do I want to allow key_axis.name to match against axis.num? does not seem like a good idea.
                 # but this should work
-                # >>> a = ndrange((3, 4))
+                # >>> a = ndtest((3, 4))
                 # >>> x1, x2 = a.axes
                 # >>> a[x2 > 2]
 
@@ -2297,7 +2297,7 @@ def set(self, value, **kwargs):
          a0   0   1   2
          a1   3  10  10
          a2   6  10  10
-        >>> arr['a1:', 'b1:'].set(ndrange("a=a1,a2;b=b1,b2"))
+        >>> arr['a1:', 'b1:'].set(ndtest("a=a1,a2;b=b1,b2"))
         >>> arr
         a\\b  b0  b1  b2
          a0   0   1   2
@@ -2455,7 +2455,7 @@ def drop_labels(self, axes=None):
         >>> a = Axis('a=a1,a2')
         >>> b = Axis('b=b1,b2')
         >>> b2 = Axis('b=b2,b3')
-        >>> arr1 = ndrange([a, b])
+        >>> arr1 = ndtest([a, b])
         >>> arr1
         a\\b  b1  b2
          a1   0   1
@@ -2468,7 +2468,7 @@ def drop_labels(self, axes=None):
         a*\\b*  0  1
             0  0  1
             1  2  3
-        >>> arr2 = ndrange([a, b2])
+        >>> arr2 = ndtest([a, b2])
         >>> arr2
         a\\b  b2  b3
          a1   0   1
@@ -5189,7 +5189,7 @@ def __matmul__(self, other):
         >>> arr2d @ arr1d # doctest: +SKIP
         a  a0  a1  a2
             5  14  23
-        >>> arr3d = ndrange('c=c0..c2;d=d0..d2;e=e0..e2')
+        >>> arr3d = ndtest('c=c0..c2;d=d0..d2;e=e0..e2')
         >>> arr1d @ arr3d # doctest: +SKIP
         c\\e  e0  e1  e2
          c0  15  18  21
@@ -5296,12 +5296,12 @@ def divnot0(self, other):
         --------
         >>> nat = Axis('nat=BE,FO')
         >>> sex = Axis('sex=M,F')
-        >>> a = ndrange((nat, sex))
+        >>> a = ndtest((nat, sex))
         >>> a
         nat\\sex  M  F
              BE  0  1
              FO  2  3
-        >>> b = ndrange(sex)
+        >>> b = ndtest(sex)
         >>> b
         sex  M  F
              0  1
@@ -5353,7 +5353,7 @@ def expand(self, target_axes=None, out=None, readonly=False):
         --------
         >>> a = Axis('a=a1,a2')
         >>> b = Axis('b=b1,b2')
-        >>> arr = ndrange([a, b])
+        >>> arr = ndtest([a, b])
         >>> arr
         a\\b  b1  b2
          a1   0   1
@@ -5609,7 +5609,7 @@ def insert(self, value, before=None, after=None, pos=None, axis=None, label=None
 
         insert an array which already has the axis
 
-        >>> arr3 = ndrange('a=a0,a1;b=b0.1,b0.2') + 42
+        >>> arr3 = ndtest('a=a0,a1;b=b0.1,b0.2') + 42
         >>> arr3
         a\\b  b0.1  b0.2
          a0    42    43
@@ -5865,7 +5865,7 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dial
         --------
         >>> tmpdir = getfixture('tmpdir')
         >>> fname = os.path.join(tmpdir.strpath, 'test.csv')
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a = ndtest('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex  M  F
              BE  0  1
@@ -5957,7 +5957,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
 
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a = ndtest('nat=BE,FO;sex=M,F')
         >>> # write to a new (unnamed) sheet
         >>> a.to_excel('test.xlsx')  # doctest: +SKIP
         >>> # write to top-left corner of an existing sheet
@@ -6021,7 +6021,7 @@ def to_clipboard(self, *args, **kwargs):
 
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a = ndtest('nat=BE,FO;sex=M,F')
         >>> a.to_clipboard()  # doctest: +SKIP
         """
         self.to_frame().to_clipboard(*args, **kwargs)
@@ -6151,7 +6151,7 @@ def plot(self):
         Examples
         --------
         >>> import matplotlib.pyplot as plt # doctest: +SKIP
-        >>> a = ndrange('sex=M,F;age=0..20')
+        >>> a = ndtest('sex=M,F;age=0..20')
 
         Simple line plot
 
@@ -6201,7 +6201,7 @@ def shape(self):
 
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F;type=type1,type2,type3')
+        >>> a = ndtest('nat=BE,FO;sex=M,F;type=type1,type2,type3')
         >>> a.shape  # doctest: +SKIP
         (2, 2, 3)
         """
@@ -6218,7 +6218,7 @@ def ndim(self):
 
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a = ndtest('nat=BE,FO;sex=M,F')
         >>> a.ndim
         2
         """
@@ -6235,7 +6235,7 @@ def size(self):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3')
+        >>> a = ndtest('sex=M,F;type=type1,type2,type3')
         >>> a.size
         6
         """
@@ -6252,7 +6252,7 @@ def nbytes(self):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
+        >>> a = ndtest('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.nbytes
         48
         """
@@ -6269,7 +6269,7 @@ def memory_used(self):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3', dtype=float)
+        >>> a = ndtest('sex=M,F;type=type1,type2,type3', dtype=float)
         >>> a.memory_used
         '48 bytes'
         """
@@ -6350,7 +6350,7 @@ def set_labels(self, axis=None, labels=None, inplace=False, **kwargs):
 
         Examples
         --------
-        >>> a = ndrange('nat=BE,FO;sex=M,F')
+        >>> a = ndtest('nat=BE,FO;sex=M,F')
         >>> a
         nat\\sex  M  F
              BE  0  1
@@ -6444,7 +6444,7 @@ def shift(self, axis, n=1):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3')
+        >>> a = ndtest('sex=M,F;type=type1,type2,type3')
         >>> a
         sex\\type  type1  type2  type3
                M      0      1      2
@@ -6494,7 +6494,7 @@ def diff(self, axis=-1, d=1, n=1, label='upper'):
 
         Examples
         --------
-        >>> a = ndrange('sex=M,F;type=type1,type2,type3').cumsum('type')
+        >>> a = ndtest('sex=M,F;type=type1,type2,type3').cumsum('type')
         >>> a
         sex\\type  type1  type2  type3
                M      0      1      3
@@ -6768,7 +6768,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None, sort=False, fil
 
         Split labels using regex
 
-        >>> combined = ndrange('a_b=a0b0..a1b2')
+        >>> combined = ndtest('a_b=a0b0..a1b2')
         >>> combined
         a_b  a0b0  a0b1  a0b2  a1b0  a1b1  a1b2
                 0     1     2     3     4     5
@@ -6779,7 +6779,7 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None, sort=False, fil
 
         Split several axes at once
 
-        >>> combined = ndrange('a_b=a0_b0..a1_b1; c_d=c0_d0..c1_d1')
+        >>> combined = ndtest('a_b=a0_b0..a1_b1; c_d=c0_d0..c1_d1')
         >>> combined
         a_b\\c_d  c0_d0  c0_d1  c1_d0  c1_d1
           a0_b0      0      1      2      3
@@ -6967,11 +6967,11 @@ def zeros_like(array, title='', dtype=None, order='K'):
 
     Examples
     --------
-    >>> a = ndrange((2, 3))
+    >>> a = ndtest((2, 3))
     >>> zeros_like(a)
-    {0}*\\{1}*  0  1  2
-            0  0  0  0
-            1  0  0  0
+    a\\b  b0  b1  b2
+     a0   0   0   0
+     a1   0   0   0
     """
     if not title:
         title = array.title
@@ -7033,11 +7033,11 @@ def ones_like(array, title='', dtype=None, order='K'):
 
     Examples
     --------
-    >>> a = ndrange((2, 3))
+    >>> a = ndtest((2, 3))
     >>> ones_like(a)
-    {0}*\\{1}*  0  1  2
-            0  1  1  1
-            1  1  1  1
+    a\\b  b0  b1  b2
+     a0   1   1   1
+     a1   1   1   1
     """
     axes = array.axes
     if not title:
@@ -7100,12 +7100,12 @@ def empty_like(array, title='', dtype=None, order='K'):
 
     Examples
     --------
-    >>> a = ndrange((3, 2))
+    >>> a = ndtest((3, 2))
     >>> empty_like(a)   # doctest: +SKIP
-    -\-                   0                   1
-      0  2.12199579097e-314  6.36598737388e-314
-      1  1.06099789568e-313  1.48539705397e-313
-      2  1.90979621226e-313  2.33419537056e-313
+    a\\b                  b0                  b1
+     a0  2.12199579097e-314  6.36598737388e-314
+     a1  1.06099789568e-313  1.48539705397e-313
+     a2  1.90979621226e-313  2.33419537056e-313
     """
     if not title:
         title = array.title
@@ -7143,7 +7143,7 @@ def full(axes, fill_value, title='', dtype=None, order='C'):
     nat\\sex     M     F
          BE  42.0  42.0
          FO  42.0  42.0
-    >>> initial_value = ndrange([sex])
+    >>> initial_value = ndtest([sex])
     >>> initial_value
     sex  M  F
          0  1
@@ -7186,11 +7186,11 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
 
     Examples
     --------
-    >>> a = ndrange((2, 3))
+    >>> a = ndtest((2, 3))
     >>> full_like(a, 5)
-    {0}*\\{1}*  0  1  2
-            0  5  5  5
-            1  5  5  5
+    a\\b  b0  b1  b2
+     a0   5   5   5
+     a1   5   5   5
     """
     if not title:
         title = array.title
@@ -7201,8 +7201,7 @@ def full_like(array, fill_value, title='', dtype=None, order='K'):
     return res
 
 
-# XXX: would it be possible to generalize to multiple axes and deprecate ndrange?
-# ndrange is only ever used to create test data (except for 1d). See https://github.com/pydata/pandas/issues/4567
+# XXX: would it be possible to generalize to multiple axes?
 def sequence(axis, initial=0, inc=None, mult=1, func=None, axes=None, title=''):
     """
     Creates an array by sequentially applying modifications to the array along axis.
@@ -7414,80 +7413,15 @@ def array_or_full(a, axis, initial):
 
 create_sequential = renamed_to(sequence, 'create_sequential')
 
-
 @_check_axes_argument
 def ndrange(axes, start=0, title='', dtype=int):
-    """Returns an array with the specified axes and filled with increasing int.
-
-    Parameters
-    ----------
-    axes : single axis or tuple/list/AxisCollection of axes
-        Axes of the array to create. Each axis can be given as either:
-
-        * Axis object: actual axis object to use.
-        * single int: length of axis. will create a wildcard axis of that length.
-        * str: coma separated list of labels, with optional leading '=' to set the name of the axis.
-               eg. "a,b,c" or "sex=F,M"
-        * (labels, name) pair: name and labels of axis
-    start : number, optional
-    title : str, optional
-        Title.
-    dtype : dtype, optional
-        The type of the output array.  Defaults to int.
-
-    Returns
-    -------
-    LArray
-
-    Examples
-    --------
-    >>> nat = Axis('nat=BE,FO')
-    >>> sex = Axis('sex=M,F')
-    >>> ndrange([nat, sex])
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> ndrange(['nat=BE,FO', 'sex=M,F'])
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> ndrange([(['BE', 'FO'], 'nat'),
-    ...          (['M', 'F'], 'sex')])
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> ndrange([('BE,FO', 'nat'),
-    ...          ('M,F', 'sex')])
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> ndrange('nat=BE,FO;sex=M,F')
-    nat\\sex  M  F
-         BE  0  1
-         FO  2  3
-    >>> ndrange([2, 3], dtype=float)
-    {0}*\\{1}*    0    1    2
-            0  0.0  1.0  2.0
-            1  3.0  4.0  5.0
-    >>> ndrange(3, start=2)
-    {0}*  0  1  2
-          2  3  4
-    >>> ndrange('a,b,c')
-    {0}  a  b  c
-         0  1  2
-    """
-    # XXX: implement something like:
-    # >>> mat = ndrange([['BE', 'FO'], ['M', 'F']], axes=['nat', 'sex'])
-    # >>> mat = ndrange(['BE,FO', 'M,F'], axes=['nat', 'sex'])
-    # XXX: try to come up with a syntax where start is before "end". For ndim
-    #  > 1, I cannot think of anything nice.
-    axes = AxisCollection(axes)
-    data = np.arange(start, start + axes.size, dtype=dtype)
-    return LArray(data.reshape(axes.shape), axes, title)
+    import warnings
+    warnings.warn("ndrange() is deprecated. Use sequence() or ndtest() instead.", FutureWarning, stacklevel=2)
+    return ndtest(axes, start=start, title=title, dtype=dtype)
 
 
 @_check_axes_argument
-def ndtest(shape, start=0, label_start=0, title='', dtype=int):
+def ndtest(shape_or_axes, start=0, label_start=0, title='', dtype=int):
     """Returns test array with given shape.
 
     Axes are named by single letters starting from 'a'.
@@ -7496,8 +7430,10 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
 
     Parameters
     ----------
-    shape : int, tuple/list of int
-        Shape of the array to create. An int can be used directly for one dimensional arrays.
+    shape_or_axes : int, tuple/list of int, str, single axis or tuple/list/AxisCollection of axes
+        If int or tuple/list of int, represents the shape of the array to create.
+        In that case, default axes are generated.
+        If string, it is used to generate axes (see :py:class:`AxisCollection` constructor).
     start : int or float, optional
         Start value
     label_start : int, optional
@@ -7513,6 +7449,8 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
 
     Examples
     --------
+    Create test array by passing a shape
+
     >>> ndtest(6)
     a  a0  a1  a2  a3  a4  a5
         0   1   2   3   4   5
@@ -7524,16 +7462,45 @@ def ndtest(shape, start=0, label_start=0, title='', dtype=int):
     a\\b  b1  b2  b3
      a1   0   1   2
      a2   3   4   5
+    >>> ndtest((2, 3), start=2)
+    a\\b  b0  b1  b2
+     a0   2   3   4
+     a1   5   6   7
+    >>> ndtest((2, 3), dtype=float)
+    a\\b   b0   b1   b2
+     a0  0.0  1.0  2.0
+     a1  3.0  4.0  5.0
+
+    Create test array by passing axes
+
+    >>> ndtest("nat=BE,FO;sex=M,F")
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
+    >>> nat = Axis("nat=BE,FO")
+    >>> sex = Axis("sex=M,F")
+    >>> ndtest([nat, sex])
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     """
-    a = ndrange(shape, start=start, dtype=dtype, title=title)
-    # TODO: move this to a class method on AxisCollection
-    assert a.ndim <= 26
-    axes_names = [chr(ord('a') + i) for i in range(a.ndim)]
-    label_ranges = [range(label_start, label_start + length)
-                    for length in a.shape]
-    new_axes = [Axis([name + str(i) for i in label_range], name)
-                for name, label_range in zip(axes_names, label_ranges)]
-    return a.set_axes(new_axes)
+    # XXX: try to come up with a syntax where start is before "end".
+    # For ndim > 1, I cannot think of anything nice.
+    if isinstance(shape_or_axes, int):
+        shape_or_axes = (shape_or_axes,)
+    if isinstance(shape_or_axes, (list, tuple)) and all([isinstance(i, int) for i in shape_or_axes]):
+        # TODO: move this to a class method on AxisCollection
+        assert len(shape_or_axes) <= 26
+        axes_names = [chr(ord('a') + i) for i in range(len(shape_or_axes))]
+        label_ranges = [range(label_start, label_start + length) for length in shape_or_axes]
+        shape_or_axes = [Axis(['{}{}'.format(name, i) for i in label_range], name)
+                         for name, label_range in zip(axes_names, label_ranges)]
+    if isinstance(shape_or_axes, AxisCollection):
+        axes = shape_or_axes
+    else:
+        axes = AxisCollection(shape_or_axes)
+    data = np.arange(start, start + axes.size, dtype=dtype).reshape(axes.shape)
+    return LArray(data, axes, title=title)
 
 
 def kth_diag_indices(shape, k):
@@ -7578,7 +7545,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     --------
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
-    >>> a = ndrange([nat, sex], start=1)
+    >>> a = ndtest([nat, sex], start=1)
     >>> a
     nat\\sex  M  F
          BE  1  2
@@ -7591,7 +7558,7 @@ def diag(a, k=0, axes=(0, 1), ndim=2, split=True):
     nat\\sex  M  F
          BE  1  0
          FO  0  4
-    >>> a = ndrange(sex, start=1)
+    >>> a = ndtest(sex, start=1)
     >>> a
     sex  M  F
          1  2
diff --git a/larray/core/axis.py b/larray/core/axis.py
index a123b6848..2f404bd09 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -153,10 +153,10 @@ def i(self):
 
         Examples
         --------
-        >>> from larray import ndrange
+        >>> from larray import ndtest
         >>> sex = Axis('sex=M,F')
         >>> time = Axis([2007, 2008, 2009, 2010], 'time')
-        >>> arr = ndrange([sex, time])
+        >>> arr = ndtest([sex, time])
         >>> arr
         sex\\time  2007  2008  2009  2010
                M     0     1     2     3
@@ -1899,7 +1899,7 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
 
         Examples
         --------
-        >>> from larray import ndtest, ndrange
+        >>> from larray import ndtest
         >>> axes = ndtest((2, 3)).axes
         >>> axes
         AxisCollection([
@@ -1940,7 +1940,7 @@ def replace(self, axes_to_replace=None, new_axis=None, inplace=False, **kwargs):
             Axis(['r0', 'r1'], 'row'),
             Axis(['c0', 'c1', 'c2'], 'column')
         ])
-        >>> arr = ndrange([row, column])
+        >>> arr = ndtest([row, column])
         >>> axes.replace(arr.axes)
         AxisCollection([
             Axis(['r0', 'r1'], 'row'),
diff --git a/larray/extra/ipfp.py b/larray/extra/ipfp.py
index e81235003..446f1abfd 100644
--- a/larray/extra/ipfp.py
+++ b/larray/extra/ipfp.py
@@ -113,7 +113,7 @@ def ipfp(target_sums, a=None, axes=None, maxiter=1000, threshold=0.5, stepstoabo
     Now let us assume you have a 3D array like this:
 
     >>> year = Axis('year=2014..2016')
-    >>> initial = ndrange([a, b, year])
+    >>> initial = ndtest([a, b, year])
     >>> initial
      a  b\year  2014  2015  2016
     a0      b0     0     1     2
diff --git a/larray/inout/array.py b/larray/inout/array.py
index cef9aaa5d..45898cf54 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -296,7 +296,7 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
     >>> from larray import ndrange
     >>> tmpdir = getfixture('tmpdir')
     >>> fname = os.path.join(tmpdir.strpath, 'test.csv')
-    >>> a = ndrange('nat=BE,FO;sex=M,F')
+    >>> a = ndtest('nat=BE,FO;sex=M,F')
 
     >>> a.to_csv(fname)
     >>> read_csv(fname)
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index d482c2e44..1a8aff932 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -14,7 +14,7 @@
     xw = None
 
 from larray.tests.common import inputpath, assert_array_equal, assert_array_nan_equal, assert_larray_equiv
-from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndrange, ndtest, ones, eye, diag, stack,
+from larray import (LArray, Axis, LGroup, union, zeros, zeros_like, ndtest, ones, eye, diag, stack,
                     clip, exp, where, X, mean, isnan, round, read_hdf, read_csv, read_eurostat, read_excel,
                     from_lists, from_string, open_excel, from_frame, sequence, nan_equal)
 from larray.inout.array import from_series
@@ -96,20 +96,20 @@ def tmp_path(self, fname):
         return os.path.join(self.tmpdir, fname)
 
     def test_ndrange(self):
-        arr = ndrange('a=a0..a2')
+        arr = ndtest('a=a0..a2')
         self.assertEqual(arr.shape, (3,))
         self.assertEqual(arr.axes.names, ['a'])
         assert_array_equal(arr.data, np.arange(3))
 
         # using an explicit Axis object
         a = Axis('a=a0..a2')
-        arr = ndrange(a)
+        arr = ndtest(a)
         self.assertEqual(arr.shape, (3,))
         self.assertEqual(arr.axes.names, ['a'])
         assert_array_equal(arr.data, np.arange(3))
 
         # using a group as an axis
-        arr = ndrange(a[:'a1'])
+        arr = ndtest(a[:'a1'])
         self.assertEqual(arr.shape, (2,))
         self.assertEqual(arr.axes.names, ['a'])
         assert_array_equal(arr.data, np.arange(2))
@@ -266,7 +266,7 @@ def test_getitem(self):
         assert_array_equal(la['8, 10..13, 15'], la['8,10,11,12,13,15'])
 
         # ambiguous label
-        arr = ndrange("a=l0,l1;b=l1,l2")
+        arr = ndtest("a=l0,l1;b=l1,l2")
         res = arr[arr.b['l1']]
         assert_array_equal(res, arr.data[:, 0])
 
@@ -319,7 +319,7 @@ def test_getitem_abstract_axes(self):
             la[X.bad[1, 2], X.age[3, 4]]
 
     def test_getitem_anonymous_axes(self):
-        la = ndrange((3, 4))
+        la = ndtest([Axis(3), Axis(4)])
         raw = la.data
         assert_array_equal(la[X[0][1:]], raw[1:])
         assert_array_equal(la[X[1][2:]], raw[:, 2:])
@@ -386,7 +386,7 @@ def test_getitem_guess_axis(self):
             la[[1, 2], [999, 4]]
 
         # ambiguous key
-        arr = ndrange("a=l0,l1;b=l1,l2")
+        arr = ndtest("a=l0,l1;b=l1,l2")
         with self.assertRaisesRegexp(ValueError, "l1 is ambiguous \(valid in a, b\)"):
             arr['l1']
 
@@ -514,29 +514,29 @@ def test_getitem_bool_ndarray_key(self):
         assert_array_equal(res, raw[raw < 5])
 
     def test_getitem_bool_anonymous_axes(self):
-        a = ndrange((2, 3, 4, 5))
+        a = ndtest([Axis(2), Axis(3), Axis(4), Axis(5)])
         mask = ones(a.axes[1, 3], dtype=bool)
         res = a[mask]
-        self.assertEqual(res.ndim, 3)
-        self.assertEqual(res.shape, (15, 2, 4))
+        assert res.ndim == 3
+        assert res.shape == (15, 2, 4)
 
         # XXX: we might want to transpose the result to always move combined axes to the front
-        a = ndrange((2, 3, 4, 5))
+        a = ndtest([Axis(2), Axis(3), Axis(4), Axis(5)])
         mask = ones(a.axes[1, 2], dtype=bool)
         res = a[mask]
-        self.assertEqual(res.ndim, 3)
-        self.assertEqual(res.shape, (2, 12, 5))
+        assert res.ndim == 3
+        assert res.shape == (2, 12, 5)
 
     def test_getitem_igroup_on_int_axis(self):
         a = Axis('a=1..3')
-        arr = ndrange(a)
+        arr = ndtest(a)
         self.assertEqual(arr[a.i[1]], 1)
 
     def test_getitem_int_larray_lgroup_key(self):
         # e axis go from 0 to 3
-        arr = ndrange((2, 2, 4)).rename(0, 'c').rename(1, 'd').rename(2, 'e')
+        arr = ndtest("c=0,1; d=0,1; e=0..3")
         # key values go from 0 to 3
-        key = ndrange((2, 2)).rename(0, 'a').rename(1, 'b')
+        key = ndtest("a=0,1; b=0,1")
         # this replaces 'e' axis by 'a' and 'b' axes
         res = arr[X.e[key]]
         self.assertEqual(res.shape, (2, 2, 2, 2))
@@ -583,25 +583,25 @@ def test_getitem_single_larray_key_guess(self):
         c = Axis(['c1', 'c2', 'c3', 'c4'], 'c')
 
         # 1) key with extra axis
-        arr = ndrange([a, b])
+        arr = ndtest([a, b])
         # replace the values_axis by the extra axis
         key = LArray(['a1', 'a2', 'a2', 'a1'], [c])
         self.assertEqual(arr[key].axes, [c, b])
 
         # 2) key with the values axis (the one being replaced)
-        arr = ndrange([a, b])
+        arr = ndtest([a, b])
         key = LArray(['b2', 'b1', 'b3'], [b])
         # axis stays the same but data should be flipped/shuffled
         self.assertEqual(arr[key].axes, [a, b])
 
         # 2bis) key with part of the values axis (the one being replaced)
-        arr = ndrange([a, b])
+        arr = ndtest([a, b])
         b_bis = Axis(['b1', 'b2'], 'b')
         key = LArray(['b3', 'b2'], [b_bis])
         self.assertEqual(arr[key].axes, [a, b_bis])
 
         # 3) key with another existing axis (not the values axis)
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     key = LArray(['a1', 'a2', 'a1'], [b])
     #     # we need points indexing
     #     # equivalent to
@@ -611,7 +611,7 @@ def test_getitem_single_larray_key_guess(self):
     #     self.assertEqual(arr[key].axes, [b])
     #
     #     # 3bis) key with part of another existing axis (not the values axis)
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     b_bis = Axis('b', ['b1', 'b2'])
     #     key = LArray(['a2', 'a1'], [b_bis])
     #     # we need points indexing
@@ -624,7 +624,7 @@ def test_getitem_single_larray_key_guess(self):
     #     # a\b b1 b2 b3
     #     #  a1  0  1  2
     #     #  a2  3  4  5
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     # a\b b1 b2 b3
     #     #  a1 a1 a2 a1
     #     #  a2 a2 a1 a2
@@ -656,19 +656,19 @@ def test_getitem_single_larray_key_guess(self):
     #                              [3, 1, 5]])
     #
     #     # 5) key has both the values axis and an extra axis
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     key = LArray([['a1', 'a2', 'a2', 'a1'], ['a2', 'a1', 'a1', 'a2']],
     #                  [a, c])
     #     self.assertEqual(arr[key].axes, [a, c])
     #
     #     # 6) key has both another existing axis (not values) and an extra axis
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     key = LArray([['b1', 'b2', 'b1', 'b2'], ['b3', 'b4', 'b3', 'b4']],
     #                  [a, c])
     #     self.assertEqual(arr[key].axes, [a, c])
     #
     #     # 7) key has the values axis, another existing axis and an extra axis
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     key = LArray([[['a1', 'a2', 'a1', 'a2'],
     #                    ['a2', 'a1', 'a2', 'a1'],
     #                    ['a1', 'a2', 'a1', 'a2']],
@@ -687,13 +687,13 @@ def test_getitem_single_larray_key_guess(self):
     #     e = Axis('e', ['e1', 'e2', 'e3', 'e4', 'e5', 'e6'])
     #
     #     # 1) key with extra disjoint axes
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     k1 = LArray(['a1', 'a2', 'a2', 'a1'], [c])
     #     k2 = LArray(['b1', 'b2', 'b3', 'b1'], [d])
     #     self.assertEqual(arr[k1, k2].axes, [c, d])
     #
     #     # 2) key with common extra axes
-    #     arr = ndrange([a, b])
+    #     arr = ndtest([a, b])
     #     k1 = LArray(['a1', 'a2', 'a2', 'a1'], [c, d])
     #     k2 = LArray(['b1', 'b2', 'b3', 'b1'], [c, e])
     #     # TODO: not sure what *should* happen in this case!
@@ -716,7 +716,7 @@ def test_getitem_int_larray_key_guess(self):
         d = Axis([6, 7], 'd')
         e = Axis([8, 9, 10, 11], 'e')
 
-        arr = ndrange([c, d, e])
+        arr = ndtest([c, d, e])
         key = LArray([[8, 9], [10, 11]], [a, b])
         self.assertEqual(arr[key].axes, [c, d, a, b])
 
@@ -725,7 +725,7 @@ def test_getitem_int_ndarray_key_guess(self):
         d = Axis([6, 7], 'd')
         e = Axis([8, 9, 10, 11], 'e')
 
-        arr = ndrange([c, d, e])
+        arr = ndtest([c, d, e])
         # ND keys do not work yet
         # key = np.array([[8, 11], [10, 9]])
         key = np.array([8, 11, 10])
@@ -1173,7 +1173,7 @@ def test_filter_multiple_axes(self):
         self.assertEqual(la.filter(geo='A57', lipro='P01,P05').shape, (116, 2, 2))
 
     def test_contains(self):
-        arr = ndrange('a=0..2;b=b0..b2;c=2..4')
+        arr = ndtest('a=0..2;b=b0..b2;c=2..4')
         # string label
         assert 'b1' in arr
         assert not 'b4' in arr
@@ -1624,20 +1624,20 @@ def test_group_agg_axis_ref_label_group(self):
 
     def test_group_agg_one_axis(self):
         a = Axis(range(3), 'a')
-        la = ndrange(a)
+        la = ndtest(a)
         raw = np.asarray(la)
 
         assert_array_equal(la.sum(a[0, 2]), raw[[0, 2]].sum())
 
     def test_group_agg_anonymous_axis(self):
-        la = ndrange((2, 3))
+        la = ndtest([Axis(2), Axis(3)])
         a1, a2 = la.axes
         raw = np.asarray(la)
         assert_array_equal(la.sum(a2[0, 2]), raw[:, [0, 2]].sum(1))
 
     def test_group_agg_on_int_array(self):
         # issue 193
-        arr = ndrange('year=2014..2018')
+        arr = ndtest('year=2014..2018')
         group = arr.year[:2016]
         self.assertEqual(arr.mean(group), 1.0)
         self.assertEqual(arr.median(group), 1.0)
@@ -1655,7 +1655,7 @@ def test_group_agg_on_bool_array(self):
 
     # TODO: fix this (and add other tests for references (x.) to anonymous axes
     # def test_group_agg_anonymous_axis_ref(self):
-    #     la = ndrange((2, 3))
+    #     la = ndtest([Axis(2), Axis(3)])
     #     raw = np.asarray(la)
     #     # this does not work because x[1] refers to an axis with name 1,
     #     # which does not exist. We might want to change this.
@@ -2091,7 +2091,7 @@ def test_transpose(self):
         self.assertEqual(res.axes, [c, b, a])
 
     def test_transpose_anonymous(self):
-        a = ndrange((2, 3, 4))
+        a = ndtest([Axis(2), Axis(3), Axis(4)])
 
         # reordered = a.transpose(0, 2, 1)
         # self.assertEqual(reordered.shape, (2, 4, 3))
@@ -2183,8 +2183,8 @@ def test_binary_ops(self):
     def test_binary_ops_no_name_axes(self):
         raw = self.small_data
         raw2 = self.small_data + 1
-        la = ndrange(self.small.shape)
-        la2 = ndrange(self.small.shape) + 1
+        la = ndtest([Axis(l) for l in self.small.shape])
+        la2 = ndtest([Axis(l) for l in self.small.shape]) + 1
 
         assert_array_equal(la + la2, raw + raw2)
         assert_array_equal(la + 1, raw + 1)
@@ -2223,24 +2223,24 @@ def test_binary_ops_no_name_axes(self):
         # mixed operations
         raw2 = raw / 2
         la_raw2 = la - raw2
-        self.assertEqual(la_raw2.axes, la.axes)
+        assert la_raw2.axes == la.axes
         assert_array_equal(la_raw2, raw - raw2)
         raw2_la = raw2 - la
-        self.assertEqual(raw2_la.axes, la.axes)
+        assert raw2_la.axes == la.axes
         assert_array_equal(raw2_la, raw2 - raw)
 
         la_ge_raw2 = la >= raw2
-        self.assertEqual(la_ge_raw2.axes, la.axes)
+        assert la_ge_raw2.axes == la.axes
         assert_array_equal(la_ge_raw2, raw >= raw2)
 
         raw2_ge_la = raw2 >= la
-        self.assertEqual(raw2_ge_la.axes, la.axes)
+        assert raw2_ge_la.axes == la.axes
         assert_array_equal(raw2_ge_la, raw2 >= raw)
 
     def test_broadcasting_no_name(self):
-        a = ndrange((2, 3))
-        b = ndrange(3)
-        c = ndrange(2)
+        a = ndtest([Axis(2), Axis(3)])
+        b = ndtest(Axis(3))
+        c = ndtest(Axis(2))
 
         with self.assertRaises(ValueError):
             # ValueError: incompatible axes:
@@ -2357,14 +2357,14 @@ def test_reindex(self):
                                                   a1   3  -1   2"""))
 
         # LArray fill value
-        filler = ndrange(arr.a)
+        filler = ndtest(arr.a)
         res = arr.reindex(X.b, ['b1', 'b2', 'b0'], fill_value=filler)
         assert_array_equal(res, from_string("""a\\b  b1  b2  b0
                                                  a0   1   0   0
                                                  a1   3   1   2"""))
 
         # using labels from another array
-        arr = ndrange('a=v0..v2;b=v0,v2,v1,v3')
+        arr = ndtest('a=v0..v2;b=v0,v2,v1,v3')
         res = arr.reindex('a', arr.b.labels, fill_value=-1)
         assert_array_equal(res, from_string("""a\\b  v0  v2  v1  v3
                                                  v0   0   1   2   3
@@ -2465,7 +2465,7 @@ def test_insert(self):
          a0   0    42   1    43   2
          a1   3    43   4    44   5"""))
 
-        arr3 = ndrange('a=a0,a1;b=b0.1,b0.2') + 42
+        arr3 = ndtest('a=a0,a1;b=b0.1,b0.2') + 42
         res = arr1.insert(arr3, before='b1,b2')
         assert_array_equal(res, from_string("""
         a\\b  b0  b0.1  b1  b0.2  b2
@@ -2473,7 +2473,7 @@ def test_insert(self):
          a1   3    44   4    45   5"""))
 
         # with ambiguous labels
-        arr4 = ndrange('a=v0,v1;b=v0,v1')
+        arr4 = ndtest('a=v0,v1;b=v0,v1')
         res = arr4.insert(42, before='v1', axis='b', label='v0.5')
         assert_array_equal(res, from_string("""
         a\\b  v0  v0.5  v1
@@ -2566,7 +2566,7 @@ def test_hdf_roundtrip(self):
         assert s.names == sorted(['a0', 'a1', 'a2', 'a3', 'c0,c2', 'c0::2', 'even', ':name?with*special__[characters]'])
 
     def test_from_string(self):
-        expected = ndrange("sex=M,F")
+        expected = ndtest("sex=M,F")
 
         res = from_string('''sex  M  F
                              \t   0  1''')
@@ -2582,13 +2582,13 @@ def test_from_string(self):
 
     def test_read_csv(self):
         res = read_csv(inputpath('test1d.csv'))
-        assert_array_equal(res, ndrange('time=2007,2010,2013'))
+        assert_array_equal(res, ndtest('time=2007,2010,2013'))
 
         res = read_csv(inputpath('test2d.csv'))
-        assert_array_equal(res, ndrange('a=0,1;b=0,1,2'))
+        assert_array_equal(res, ndtest('a=0,1;b=0,1,2'))
 
         res = read_csv(inputpath('test3d.csv'))
-        expected = ndrange('age=0..3;sex=F,M;time=2015..2017') + 0.5
+        expected = ndtest('age=0..3;sex=F,M;time=2015..2017') + 0.5
         assert_array_equal(res, expected)
 
         la = read_csv(inputpath('test5d.csv'))
@@ -2619,7 +2619,7 @@ def test_read_csv(self):
 
         # test StringIO
         res = read_csv(StringIO('a,1,2\n,0,1\n'))
-        assert_array_equal(res, ndrange('a=1,2'))
+        assert_array_equal(res, ndtest('a=1,2'))
 
         # sort_columns=True
         res = read_csv(StringIO('a,a2,a0,a1\n,2,0,1\n'), sort_columns=True)
@@ -2697,7 +2697,7 @@ def test_read_excel_xlwings(self):
         assert_array_equal(bad1, good)
         assert_array_equal(bad2, good)
         # with additional empty column in the middle of the array to read
-        good2 = ndrange('a=a0,a1;b=2003..2006').astype(object)
+        good2 = ndtest('a=a0,a1;b=2003..2006').astype(object)
         good2[2005] = None
         good2 = good2.set_axes('b', Axis([2003, 2004, None, 2006], 'b'))
         bad3 = read_excel(fpath, 'middleblankcol')
@@ -2774,7 +2774,7 @@ def test_read_excel_pandas(self):
         assert_array_equal(bad2, good1)
 
         # with additional empty column in the middle of the array to read
-        good2 = ndrange('a=a0,a1;b=2003..2006').astype(float)
+        good2 = ndtest('a=a0,a1;b=2003..2006').astype(float)
         good2[2005] = np.nan
         good2 = good2.set_axes('b', Axis([2003, 2004, 'Unnamed: 3', 2006], 'b'))
         bad3 = read_excel(fpath, 'middleblankcol', engine='xlrd')
@@ -3186,7 +3186,7 @@ def test_to_csv(self):
         with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la = ndrange([Axis('time=2015..2017')])
+        la = ndtest([Axis('time=2015..2017')])
         la.to_csv(self.tmp_path('test_out1d.csv'))
         result = ['time,2015,2016,2017\n',
                   ',0,1,2\n']
@@ -3676,7 +3676,7 @@ def test_ufuncs(self):
 
     def test_diag(self):
         # 2D -> 1D
-        a = ndrange((3, 3))
+        a = ndtest((3, 3))
         d = diag(a)
         self.assertEqual(d.ndim, 1)
         self.assertEqual(d.i[0], a.i[0, 0])
@@ -3691,7 +3691,7 @@ def test_diag(self):
         self.assertEqual(a2.i[2, 2], a.i[2, 2])
 
         # 3D -> 2D
-        a = ndrange((3, 3, 3))
+        a = ndtest((3, 3, 3))
         d = diag(a)
         self.assertEqual(d.ndim, 2)
         self.assertEqual(d.i[0, 0], a.i[0, 0, 0])
@@ -3730,14 +3730,14 @@ def test_diag(self):
     @pytest.mark.skipif(sys.version_info < (3, 5), reason="@ unavailable (Python < 3.5)")
     def test_matmul(self):
         # 2D / anonymous axes
-        a1 = eye(3) * 2
-        a2 = ndrange((3, 3))
+        a1 = ndtest([Axis(3), Axis(3)])
+        a2 = eye(3, 3) * 2
         # cannot use @ in the tests because that is an invalid syntax in Python 2
         # LArray value
-        assert_array_equal(a1.__matmul__(a2), ndrange((3, 3)) * 2)
+        assert_array_equal(a1.__matmul__(a2), ndtest([Axis(3), Axis(3)]) * 2)
 
         # ndarray value
-        assert_array_equal(a1.__matmul__(a2.data), ndrange((3, 3)) * 2)
+        assert_array_equal(a1.__matmul__(a2.data), ndtest([Axis(3), Axis(3)]) * 2)
 
         # non anonymous axes (N <= 2)
         arr1d = ndtest(3)
@@ -3776,7 +3776,7 @@ def test_matmul(self):
 
         # different axes
         a1 = ndtest('a=a0..a1;b=b0..b2')
-        a2 = ndrange('b=b0..b2;c=c0..c3')
+        a2 = ndtest('b=b0..b2;c=c0..c3')
         res = from_lists([['a\c', 'c0', 'c1', 'c2', 'c3'],
                           ['a0', 20, 23, 26, 29],
                           ['a1', 56, 68, 80, 92]])
@@ -3884,31 +3884,39 @@ def test_matmul(self):
     @pytest.mark.skipif(sys.version_info < (3, 5), reason="@ unavailable (Python < 3.5)")
     def test_rmatmul(self):
         a1 = eye(3) * 2
-        a2 = ndrange((3, 3))
+        a2 = ndtest([Axis(3), Axis(3)])
 
         # equivalent to a1.data @ a2
         res = a2.__rmatmul__(a1.data)
         self.assertIsInstance(res, LArray)
-        assert_array_equal(res, ndrange((3, 3)) * 2)
+        assert_array_equal(res, ndtest([Axis(3), Axis(3)]) * 2)
 
     def test_broadcast_with(self):
-        a1 = ndrange((3, 2))
-        a2 = ndrange(3)
+        a1 = ndtest((3, 2))
+        a2 = ndtest(3)
+        b = a2.broadcast_with(a1)
+        self.assertEqual(b.ndim, a1.ndim)
+        self.assertEqual(b.shape, (3, 1))
+        assert_array_equal(b.i[:, 0], a2)
+
+        # anonymous axes
+        a1 = ndtest([Axis(3), Axis(2)])
+        a2 = ndtest(Axis(3))
         b = a2.broadcast_with(a1)
         self.assertEqual(b.ndim, a1.ndim)
         self.assertEqual(b.shape, (3, 1))
         assert_array_equal(b.i[:, 0], a2)
 
-        a1 = ndrange((1, 3))
-        a2 = ndrange((3, 1))
+        a1 = ndtest([Axis(1), Axis(3)])
+        a2 = ndtest([Axis(3), Axis(1)])
         b = a2.broadcast_with(a1)
         self.assertEqual(b.ndim, 2)
         # common axes are reordered according to target (a1 in this case)
         self.assertEqual(b.shape, (1, 3))
         assert_larray_equiv(b, a2)
 
-        a1 = ndrange((2, 3))
-        a2 = ndrange((3, 2))
+        a1 = ndtest([Axis(2), Axis(3)])
+        a2 = ndtest([Axis(3), Axis(2)])
         b = a2.broadcast_with(a1)
         self.assertEqual(b.ndim, 2)
         self.assertEqual(b.shape, (2, 3))
@@ -4006,13 +4014,13 @@ def test_split_axes(self):
         assert_array_equal(res.transpose('a', 'b', 'c', 'd'), arr)
 
         # custom sep
-        combined = ndrange('a|b=a0|b0,a0|b1')
+        combined = ndtest('a|b=a0|b0,a0|b1')
         res = combined.split_axes(sep='|')
-        assert_array_equal(res, ndrange('a=a0;b=b0,b1'))
+        assert_array_equal(res, ndtest('a=a0;b=b0,b1'))
 
         # split several axes at once
         # ==========================
-        arr = ndrange('a_b=a0_b0..a1_b2; c=c0..c3; d=d0..d3; e_f=e0_f0..e2_f1')
+        arr = ndtest('a_b=a0_b0..a1_b2; c=c0..c3; d=d0..d3; e_f=e0_f0..e2_f1')
 
         # using a list of tuples
         res = arr.split_axes(['a_b', 'e_f'])
@@ -4035,7 +4043,7 @@ def test_split_axes(self):
         assert res.shape == (2, 3, 4, 4, 3, 2)
 
         # split an axis in more than 2 axes
-        arr = ndrange('a_b_c=a0_b0_c0..a1_b2_c3; d=d0..d3; e_f=e0_f0..e2_f1')
+        arr = ndtest('a_b_c=a0_b0_c0..a1_b2_c3; d=d0..d3; e_f=e0_f0..e2_f1')
         res = arr.split_axes(['a_b_c', 'e_f'])
         assert res.axes.names == ['a', 'b', 'c', 'd', 'e', 'f']
         assert res.size == arr.size
@@ -4053,7 +4061,7 @@ def test_split_axes(self):
         assert res.shape == (2, 3, 4, 4, 3, 2)
 
         # using regex
-        arr = ndrange('ab=a0b0..a1b2; c=c0..c3; d=d0..d3; ef=e0f0..e2f1')
+        arr = ndtest('ab=a0b0..a1b2; c=c0..c3; d=d0..d3; ef=e0f0..e2f1')
         res = arr.split_axes({'ab': ('a', 'b'), 'ef': ('e', 'f')}, regex='(\w{2})(\w{2})')
         assert res.axes.names == ['a', 'b', 'c', 'd', 'e', 'f']
         assert res.size == arr.size
@@ -4091,8 +4099,8 @@ def test_split_axes(self):
         assert_array_nan_equal(combined_partial.split_axes('a_b'), expected)
 
         # split labels are ambiguous (issue #485)
-        combined = ndrange('a_b=a0_b0..a1_b1;c_d=a0_b0..a1_b1')
-        expected = ndrange('a=a0,a1;b=b0,b1;c=a0,a1;d=b0,b1')
+        combined = ndtest('a_b=a0_b0..a1_b1;c_d=a0_b0..a1_b1')
+        expected = ndtest('a=a0,a1;b=b0,b1;c=a0,a1;d=b0,b1')
         assert_array_equal(combined.split_axes(('a_b', 'c_d')), expected)
 
     def test_stack(self):
@@ -4108,8 +4116,8 @@ def test_stack(self):
         assert_array_equal(res, expected)
 
         # simple with anonymous axis
-        arr0 = ndrange(3)
-        arr1 = ndrange(3, start=-1)
+        arr0 = ndtest(Axis(3))
+        arr1 = ndtest(Axis(3), start=-1)
         a = arr0.axes[0]
         b = Axis('b=b0,b1')
         expected = LArray([[0, -1],
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 12ad57f56..2869f8d39 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -10,7 +10,7 @@
 except ImportError:
     xw = None
 
-from larray import ndtest, ndrange, larray_equal, open_excel, aslarray
+from larray import ndtest, larray_equal, open_excel, aslarray, Axis
 from larray.inout import excel
 
 
@@ -154,7 +154,7 @@ def test_array_method(self):
             assert larray_equal(res1, arr1)
 
             # array with int labels
-            arr2 = ndrange('0..1;0..2')
+            arr2 = ndtest('0..1;0..2')
             sheet['A1'] = arr2.dump()
             res2 = sheet.array('B2:D3', 'A2:A3', 'B1:D1')
             # larray_equal passes even if the labels are floats...
@@ -211,7 +211,7 @@ def test_aslarray(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
 
-            arr1 = ndrange((2, 3))
+            arr1 = ndtest([Axis(2), Axis(3)])
             # no header so that we have an uniform dtype for the whole sheet
             sheet['A1'] = arr1
             res1 = aslarray(sheet['A1:C2'])
@@ -223,7 +223,7 @@ def test_aggregate(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
 
-            arr1 = ndrange((2, 3))
+            arr1 = ndtest((2, 3))
             # no header so that we have an uniform dtype for the whole sheet
             sheet['A1'] = arr1
             res = sheet['A1:C2'].sum()
@@ -233,7 +233,7 @@ def test_repr(self):
         with open_excel(visible=False) as wb:
             sheet = wb[0]
 
-            arr1 = ndrange((2, 3))
+            arr1 = ndtest((2, 3))
             sheet['A1'] = arr1
             res = repr(sheet['A1:C2'])
             assert res == """\
diff --git a/larray/tests/test_ipfp.py b/larray/tests/test_ipfp.py
index 7822007c0..fd7961a81 100644
--- a/larray/tests/test_ipfp.py
+++ b/larray/tests/test_ipfp.py
@@ -5,7 +5,7 @@
 import pytest
 
 from larray.tests.common import assert_array_equal
-from larray import Axis, LArray, ndrange, ndtest, ipfp, X
+from larray import Axis, LArray, ndtest, ipfp, X
 
 
 class TestIPFP(TestCase):
@@ -143,9 +143,9 @@ def test_ipfp_3d_with_axes(self):
 
     def test_ipfp_no_values(self):
         # 6, 12, 18
-        along_a = ndrange([(3, 'b')], start=1) * 6
+        along_a = ndtest([(3, 'b')], start=1) * 6
         # 6, 12, 18
-        along_b = ndrange([(3, 'a')], start=1) * 6
+        along_b = ndtest([(3, 'a')], start=1) * 6
         r = ipfp([along_a, along_b])
         assert_array_equal(r, [[1.0, 2.0, 3.0],
                                [2.0, 4.0, 6.0],
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 96701e021..82e8f25e8 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -9,7 +9,7 @@
 import pytest
 
 from larray.tests.common import assert_array_nan_equal, inputpath
-from larray import Session, Axis, LArray, ndrange, isnan, larray_equal, zeros_like
+from larray import Session, Axis, LArray, isnan, larray_equal, zeros_like, ndtest
 from larray.util.misc import pickle
 
 try:
@@ -33,10 +33,10 @@ def setUp(self):
         self.b = Axis([], 'b')
         self.c = 'c'
         self.d = {}
-        self.e = ndrange([(2, 'a0'), (3, 'a1')])
-        self.e2 = ndrange(('a=a0..a2', 'b=b0..b2'))
-        self.f = ndrange([(3, 'a0'), (2, 'a1')])
-        self.g = ndrange([(2, 'a0'), (4, 'a1')])
+        self.e = ndtest([(2, 'a0'), (3, 'a1')])
+        self.e2 = ndtest(('a=a0..a2', 'b=b0..b2'))
+        self.f = ndtest([(3, 'a0'), (2, 'a1')])
+        self.g = ndtest([(2, 'a0'), (4, 'a1')])
         self.session = Session([
             ('b', self.b), ('a', self.a),
             ('c', self.c), ('d', self.d),

From ad67ae698b710bf67148508e8e7c2bee0c5f6419 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 4 Dec 2017 18:12:26 +0100
Subject: [PATCH 866/899] updated template.rst.inc: added sections syntax
 changes and backward incompatible changes

---
 doc/source/changes/template.rst.inc | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/template.rst.inc b/doc/source/changes/template.rst.inc
index 40d5a3454..101969eb7 100644
--- a/doc/source/changes/template.rst.inc
+++ b/doc/source/changes/template.rst.inc
@@ -1,10 +1,23 @@
-New features
+Syntax changes
+--------------
+
+* new syntax
+
+
+Backward incompatible changes
+-----------------------------
+
+* backward incompatible changes
+
+
+New features
 ------------
 
 * added a feature (see the :ref:`miscellaneous section <misc>` for details).
 
 * added another feature.
 
+
 .. _misc:
 
 Miscellaneous improvements
@@ -12,6 +25,7 @@ Miscellaneous improvements
 
 * improved something.
 
+
 Fixes
 -----
 

From b3becd40763e67f248ce1049d337a188a005d1ff Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 4 Dec 2017 16:51:27 +0100
Subject: [PATCH 867/899] * fix #516 : made Session.__eq__ and __ne__ use
 _binop

* fix #517 : implemented Session.equals

* fix #518 : implemented LArray.equals
---
 doc/source/api.rst                      |  12 +-
 doc/source/changes/version_0_28.rst.inc |  99 ++++++++++++-
 larray/core/array.py                    | 185 +++++++++++-------------
 larray/core/session.py                  | 105 +++++++++++++-
 larray/tests/test_excel.py              |  10 +-
 larray/tests/test_session.py            |  64 ++++----
 6 files changed, 336 insertions(+), 139 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index a7c8d2377..6378ad6e3 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -386,6 +386,7 @@ Testing/Searching
 .. autosummary::
    :toctree: _generated/
 
+   LArray.equals
    LArray.nonzero
    LArray.all
    LArray.all_by
@@ -512,8 +513,6 @@ Miscellaneous
    aslarray
    from_frame
    labels_array
-   larray_equal
-   larray_nan_equal
    nan_equal
    union
    stack
@@ -556,6 +555,15 @@ Copying
 
    Session.copy
 
+Testing
+-------
+
+.. autosummary::
+   :toctree: _generated/
+
+   Session.array_equals
+   Session.equals
+
 Selecting
 ---------
 
diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 6d3d064c1..7f0eee3c7 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -1,7 +1,102 @@
-New features
+Backward incompatible changes
+-----------------------------
+
+* changed behavior of operators `session1 == session2` and `session1 != session2`: returns a session
+  of boolean arrays (closes:issue:`516`):
+
+    >>> s1 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+    >>> s2 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+    >>> (s1 == s2).arr1
+    a    a0    a1
+       True  True
+    >>> s2.arr1['a1'] = 0
+    >>> (s1 == s2).arr1
+    a    a0     a1
+       True  False
+    >>> (s1 != s2).arr1
+    a     a0    a1
+       False  True
+
+
+New features
 ------------
 
-* added a feature (see the :ref:`miscellaneous section <misc>` for details).
+* added methods `array_equals` and `equals` to `Session` object to compare arrays from two sessions.
+  The method `array_equals` return a boolean value for each array while the method `equals` returns a unique
+  boolean value (True if all arrays of both sessions are equal, False otherwise):
+
+    >>> s1 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+    >>> s2 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+    >>> s1.array_equals(s2)
+    name  arr1  arr2
+          True  True
+    >>> s1.equals(s2)
+    True
+
+    Different value(s)
+
+    >>> s2.arr1['a1'] = 0
+    >>> s1.array_equals(s2)
+    name   arr1  arr2
+          False  True
+    >>> s1.equals(s2)
+    False
+
+    Different label(s)
+
+    >>> from larray import ndrange
+    >>> s2.arr2 = ndrange("b=b0,b1; a=a0,a1")
+    >>> s1.array_equals(s2)
+    name   arr1   arr2
+          False  False
+    >>> s1.equals(s2)
+    False
+
+    Extra/missing array(s)
+
+    >>> s2.arr3 = ndtest((3, 3))
+    >>> s1.array_equals(s2)
+    name   arr1   arr2   arr3
+          False  False  False
+    >>> s1.equals(s2)
+    False
+
+  Closes:issue:`517`.
+
+* added method `equals` to `LArray` object to compare two arrays (closes :issue:`518`):
+
+    >>> arr1 = ndtest((2, 3))
+    >>> arr1
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+    >>> arr2 = arr1.copy()
+    >>> arr1.equals(arr2)
+    True
+    >>> arr2['b1'] += 1
+    >>> arr1.equals(arr2)
+    False
+    >>> arr3 = arr1.set_labels('a', ['x0', 'x1'])
+    >>> arr1.equals(arr3)
+    False
+
+    Arrays with nan values
+
+    >>> arr1 = ndtest((2, 3), dtype=float)
+    >>> arr1['a1', 'b1'] = nan
+    >>> arr1
+    a\b   b0   b1   b2
+     a0  0.0  1.0  2.0
+     a1  3.0  nan  5.0
+    >>> arr2 = arr1.copy()
+    >>> # By default, an array containing nan values is never equal to another array,
+    >>> # even if that other array also contains nan values at the same positions.
+    >>> # The reason is that a nan value is different from *anything*, including itself.
+    >>> arr1.equals(arr2)
+    False
+    >>> # set flag nan_equal to True to override this behavior
+    >>> arr1.equals(arr2, nan_equal=True)
+    True
 
 * added another feature.
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 1a3049011..a3b50fb87 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -545,57 +545,6 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='perform', extra_a
 _always_return_float = {np.mean, np.nanmean, np.median, np.nanmedian, np.percentile, np.nanpercentile,
                         np.std, np.nanstd, np.var, np.nanvar}
 
-
-def larray_equal(a1, a2):
-    """
-    Compares two arrays and returns True if they have the same axes and elements (and do not contain nan values,
-    see note below), False otherwise.
-
-    Parameters
-    ----------
-    a1, a2 : LArray-like
-        Input arrays. aslarray() is used on non-LArray inputs.
-
-    Returns
-    -------
-    bool
-        Returns True if the arrays are equal (and do not contain nan values).
-
-    Notes
-    -----
-    An array containing nan values is never equal to another array, even if that other array also contains nan values at
-    the same positions. The reason is that a nan value is different from *anything*, including itself. One might want
-    to use larray_nan_equal to avoid this behavior.
-
-    See Also
-    --------
-    larray_nan_equal
-
-    Examples
-    --------
-    >>> arr1 = ndtest((2, 3))
-    >>> arr1
-    a\\b  b0  b1  b2
-     a0   0   1   2
-     a1   3   4   5
-    >>> arr2 = arr1.copy()
-    >>> larray_equal(arr1, arr2)
-    True
-    >>> arr2['b1'] += 1
-    >>> larray_equal(arr1, arr2)
-    False
-    >>> arr3 = arr1.set_labels(X.a, ['x0', 'x1'])
-    >>> larray_equal(arr1, arr3)
-    False
-    """
-    try:
-        a1, a2 = aslarray(a1), aslarray(a2)
-    except Exception:
-        return False
-    return (a1.axes == a2.axes and
-            np.array_equal(np.asarray(a1), np.asarray(a2)))
-
-
 obj_isnan = np.vectorize(lambda x: x != x, otypes=[bool])
 
 def nan_equal(a1, a2):
@@ -642,53 +591,6 @@ def general_isnan(a):
     return (a1 == a2) | (general_isnan(a1) & general_isnan(a2))
 
 
-def larray_nan_equal(a1, a2):
-    """
-    Compares two arrays and returns True if they have the same axes and elements, False otherwise.
-
-    Parameters
-    ----------
-    a1, a2 : LArray-like
-        Input arrays. aslarray() is used on non-LArray inputs.
-
-    Returns
-    -------
-    bool
-        Returns True if the arrays are equal, even in the presence of nan values (if they are at the same positions).
-
-    See Also
-    --------
-    larray_equal
-
-    Examples
-    --------
-    >>> arr1 = ndtest((2, 3), dtype=float)
-    >>> arr1['a1', 'b1'] = nan
-    >>> arr1
-    a\\b   b0   b1   b2
-     a0  0.0  1.0  2.0
-     a1  3.0  nan  5.0
-    >>> arr2 = arr1.copy()
-    >>> larray_equal(arr1, arr2)
-    False
-    >>> larray_nan_equal(arr1, arr2)
-    True
-    >>> arr2['b1'] = 0.0
-    >>> larray_nan_equal(arr1, arr2)
-    False
-    >>> arr3 = arr1.set_labels(X.a, ['x0', 'x1'])
-    >>> larray_nan_equal(arr1, arr3)
-    False
-    >>> larray_nan_equal([0], [0])
-    True
-    """
-    try:
-        a1, a2 = aslarray(a1), aslarray(a2)
-    except Exception:
-        return False
-    return a1.axes == a2.axes and all(nan_equal(a1, a2))
-
-
 class LArray(ABCLArray):
     """
     A LArray object represents a multidimensional, homogeneous array of fixed-size items with labeled axes.
@@ -1341,7 +1243,7 @@ def reindex(self, axes_to_reindex=None, new_axis=None, fill_value=np.nan, inplac
         a\\b  b0  b1
          a0   0   1
          a1   2   3
-        >>> arr2 = ndrange('a=a1,a2;c=c0;b=b2..b0')
+        >>> arr2 = ndtest('a=a1,a2;c=c0;b=b2..b0')
         >>> arr2
          a  c\\b  b2  b1  b0
         a1   c0   0   1   2
@@ -5279,6 +5181,69 @@ def __int__(self):
     def __float__(self):
         return self.data.__float__()
 
+    def equals(self, other, nan_equals=False):
+        """
+        Compares self with another array and returns True if they have the same axes and elements, False otherwise.
+
+        Parameters
+        ----------
+        other: LArray-like
+            Input array. aslarray() is used on a non-LArray input.
+        nan_equals: boolean, optional
+            Whether or not to consider nan values at the same positions in the two arrays as equal.
+            By default, an array containing nan values is never equal to another array, even if that other array
+            also contains nan values at the same positions. The reason is that a nan value is different from
+            *anything*, including itself. Defaults to False.
+
+        Returns
+        -------
+        bool
+            Returns True if self is equal to other.
+
+        Examples
+        --------
+        >>> arr1 = ndtest((2, 3))
+        >>> arr1
+        a\\b  b0  b1  b2
+         a0   0   1   2
+         a1   3   4   5
+        >>> arr2 = arr1.copy()
+        >>> arr1.equals(arr2)
+        True
+        >>> arr2['b1'] += 1
+        >>> arr1.equals(arr2)
+        False
+        >>> arr3 = arr1.set_labels('a', ['x0', 'x1'])
+        >>> arr1.equals(arr3)
+        False
+
+        Arrays with nan values
+
+        >>> arr1 = ndtest((2, 3), dtype=float)
+        >>> arr1['a1', 'b1'] = nan
+        >>> arr1
+        a\\b   b0   b1   b2
+         a0  0.0  1.0  2.0
+         a1  3.0  nan  5.0
+        >>> arr2 = arr1.copy()
+        >>> # By default, an array containing nan values is never equal to another array,
+        >>> # even if that other array also contains nan values at the same positions.
+        >>> # The reason is that a nan value is different from *anything*, including itself.
+        >>> arr1.equals(arr2)
+        False
+        >>> # set flag nan_equals to True to overwrite this behavior
+        >>> arr1.equals(arr2, nan_equals=True)
+        True
+        """
+        try:
+            other = aslarray(other)
+        except Exception:
+            return False
+        if nan_equals:
+            return self.axes == other.axes and all(nan_equal(self, other))
+        else:
+            return self.axes == other.axes and np.array_equal(np.asarray(self), np.asarray(other))
+
     def divnot0(self, other):
         """Divides array by other, but returns 0.0 where other is 0.
 
@@ -6851,6 +6816,28 @@ def split_axes(self, axes=None, sep='_', names=None, regex=None, sort=False, fil
     split_axis = renamed_to(split_axes, 'split_axis')
 
 
+def larray_equal(a1, a2):
+    import warnings
+    msg = "larray_equal() is deprecated. Use LArray.equals() instead."
+    warnings.warn(msg, FutureWarning, stacklevel=2)
+    try:
+        a1 = aslarray(a1)
+    except Exception:
+        return False
+    return a1.equals(a2)
+
+
+def larray_nan_equal(a1, a2):
+    import warnings
+    msg = "larray_nan_equal() is deprecated. Use LArray.equals() instead."
+    warnings.warn(msg, FutureWarning, stacklevel=2)
+    try:
+        a1 = aslarray(a1)
+    except Exception:
+        return False
+    return a1.equals(a2, nan_equals=True)
+
+
 def aslarray(a):
     """
     Converts input as LArray if possible.
diff --git a/larray/core/session.py b/larray/core/session.py
index 11742f2a9..77d2c8a34 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -9,7 +9,7 @@
 import numpy as np
 
 from larray.core.axis import Axis
-from larray.core.array import LArray, larray_nan_equal, get_axes, ndtest, zeros, zeros_like, sequence
+from larray.core.array import LArray, get_axes, ndtest, zeros, zeros_like, sequence, aslarray
 from larray.util.misc import float_error_handler_factory, is_interactive_interpreter, renamed_to, inverseop
 from larray.inout.session import check_pattern, handler_classes, ext_default_engine
 
@@ -681,6 +681,8 @@ def opmethod(self, other):
     __sub__ = _binop('sub')
     __mul__ = _binop('mul')
     __truediv__ = _binop('truediv')
+    __eq__ = _binop('eq')
+    __ne__ = _binop('ne')
 
     # element-wise method factory
     # unary operations are (also) dispatched element-wise to all arrays
@@ -705,15 +707,108 @@ def opmethod(self):
     __abs__ = _unaryop('abs')
     __invert__ = _unaryop('invert')
 
-    # XXX: use _binop (ie elementwise comparison instead of aggregating directly?)
-    def __eq__(self, other):
+    def array_equals(self, other):
+        """Test if arrays of the current session are equal to those of another session.
+
+        Equivalent to apply :py:meth:`LArray.equals` with flag nan_equals=True to all arrays from two sessions.
+
+        Parameters
+        ----------
+        other : Session
+            Session to compare with.
+
+        Returns
+        -------
+        Boolean LArray
+
+        See Also
+        --------
+        Session.equals
+
+        Examples
+        --------
+        >>> s1 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+        >>> s2 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+        >>> s1.array_equals(s2)
+        name  arr1  arr2
+              True  True
+
+        Different value(s)
+
+        >>> s2.arr1['a1'] = 0
+        >>> s1.array_equals(s2)
+        name   arr1  arr2
+              False  True
+
+        Different label(s)
+
+        >>> s2.arr2 = ndtest("b=b0,b1; a=a0,a1")
+        >>> s1.array_equals(s2)
+        name   arr1   arr2
+              False  False
+
+        Extra/missing array(s)
+
+        >>> s2.arr3 = ndtest((3, 3))
+        >>> s1.array_equals(s2)
+        name   arr1   arr2   arr3
+              False  False  False
+        """
         self_keys = set(self.keys())
         all_keys = list(self.keys()) + [n for n in other.keys() if n not in self_keys]
+        def larray_nan_equal(a1, a2):
+            try:
+                a1 = aslarray(a1)
+            except Exception:
+                return False
+            return a1.equals(a2, nan_equals=True)
         res = [larray_nan_equal(self.get(key), other.get(key)) for key in all_keys]
         return LArray(res, [Axis(all_keys, 'name')])
 
-    def __ne__(self, other):
-        return ~(self == other)
+    def equals(self, other):
+        """Test if all arrays of the current session are equal to those of another session.
+
+        Parameters
+        ----------
+        other : Session
+            Session to compare with.
+
+        Returns
+        -------
+        True if arrays of both sessions are all equal, False otherwise.
+
+        See Also
+        --------
+        Session.array_equals
+
+        Examples
+        --------
+        >>> s1 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+        >>> s2 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
+        >>> s1.equals(s2)
+        True
+
+        Different value(s)
+
+        >>> s2.arr1['a1'] = 0
+        >>> s1.equals(s2)
+        False
+
+        Different label(s)
+
+        >>> s2 = s1.copy()
+        >>> s2.arr2 = ndtest("b=b0,b1; a=a0,a1")
+        >>> s1.equals(s2)
+        False
+
+        Extra/missing array(s)
+
+        >>> s2 = s1.copy()
+        >>> s2.arr3 = ndtest((3, 3))
+        >>> s1.equals(s2)
+        False
+        """
+        return all(self.array_equals(other))
 
     def transpose(self, *args):
         """Reorder axes of arrays in session, ignoring missing axes for each array.
diff --git a/larray/tests/test_excel.py b/larray/tests/test_excel.py
index 2869f8d39..0f04eeafa 100644
--- a/larray/tests/test_excel.py
+++ b/larray/tests/test_excel.py
@@ -89,7 +89,7 @@ def test_setitem(self):
             arr = ndtest((3, 3))
             for label in arr.b:
                 wb[label] = arr[label].dump()
-                assert larray_equal(wb[label].load(), arr[label])
+                assert arr[label].equals(wb[label].load())
 
     def test_delitem(self):
         with open_excel(visible=False) as wb:
@@ -130,7 +130,7 @@ def test_get_and_set_item(self):
             # array without header
             assert np.array_equal(sheet['A5:C6'].value, arr.data)
             # array with header
-            assert larray_equal(sheet['A8:D10'].load(), arr)
+            assert arr.equals(sheet['A8:D10'].load())
 
     def test_asarray(self):
         with open_excel(visible=False) as wb:
@@ -151,14 +151,14 @@ def test_array_method(self):
             arr1 = ndtest((2, 3))
             sheet['A1'] = arr1.dump()
             res1 = sheet.array('B2:D3', 'A2:A3', 'B1:D1', names=['a', 'b'])
-            assert larray_equal(res1, arr1)
+            assert arr1.equals(res1)
 
             # array with int labels
             arr2 = ndtest('0..1;0..2')
             sheet['A1'] = arr2.dump()
             res2 = sheet.array('B2:D3', 'A2:A3', 'B1:D1')
             # larray_equal passes even if the labels are floats...
-            assert larray_equal(res2, arr2)
+            assert arr2.equals(res2)
             # so we check the dtype explicitly
             assert res2.axes[0].labels.dtype == arr2.axes[0].labels.dtype
             assert res2.axes[1].labels.dtype == arr2.axes[1].labels.dtype
@@ -215,7 +215,7 @@ def test_aslarray(self):
             # no header so that we have an uniform dtype for the whole sheet
             sheet['A1'] = arr1
             res1 = aslarray(sheet['A1:C2'])
-            assert larray_equal(res1, arr1)
+            assert res1.equals(arr1)
             assert res1.dtype == arr1.dtype
 
     # this tests Range.__getattr__ with an LArray attribute
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index 82e8f25e8..aa1dedbb3 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -20,7 +20,7 @@
 
 def equal(o1, o2):
     if isinstance(o1, LArray) or isinstance(o2, LArray):
-        return larray_equal(o1, o2)
+        return o1.equals(o2)
     elif isinstance(o1, Axis) or isinstance(o2, Axis):
         return o1.equals(o2)
     else:
@@ -89,10 +89,10 @@ def test_getitem_list(self):
     def test_getitem_larray(self):
         s1 = self.session.filter(kind=LArray)
         s2 = Session({'e': self.e + 1, 'f': self.f})
-        res_eq = s1[s1 == s2]
-        res_neq = s1[s1 != s2]
-        self.assertEqual(list(res_eq), [self.f])
-        self.assertEqual(list(res_neq), [self.e, self.g])
+        res_eq = s1[s1.array_equals(s2)]
+        res_neq = s1[~(s1.array_equals(s2))]
+        assert list(res_eq) == [self.f]
+        assert list(res_neq) == [self.e, self.g]
 
     def test_setitem(self):
         s = self.session
@@ -280,46 +280,58 @@ def test_to_globals(self):
         self.assertIsNot(e, self.session.e)
         # check the content has changed
         assert_array_nan_equal(e, self.session.e)
-        self.assertFalse(larray_equal(e, backup_value))
+        self.assertFalse(e.equals(backup_value))
 
-    def test_eq(self):
+    def test_array_equals(self):
         sess = self.session.filter(kind=LArray)
         expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])
-        self.assertTrue(all(sess == expected))
+        assert all(sess.array_equals(expected))
 
         other = Session({'e': self.e, 'f': self.f})
-        res = sess == other
-        self.assertEqual(res.ndim, 1)
-        self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
-        self.assertEqual(list(res), [True, False, True])
+        res = sess.array_equals(other)
+        assert res.ndim == 1
+        assert res.axes.names == ['name']
+        assert np.array_equal(res.axes.labels[0], ['e', 'g', 'f'])
+        assert list(res) == [True, False, True]
 
         e2 = self.e.copy()
         e2.i[1, 1] = 42
         other = Session({'e': e2, 'f': self.f})
+        res = sess.array_equals(other)
+        assert res.axes.names == ['name']
+        assert np.array_equal(res.axes.labels[0], ['e', 'g', 'f'])
+        assert list(res) == [False, False, True]
+
+    def test_eq(self):
+        sess = self.session.filter(kind=LArray)
+        expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])
+        assert all([array.all() for array in (sess == expected).values()])
+
+        other = Session([('e', self.e), ('f', self.f)])
         res = sess == other
-        self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
-        self.assertEqual(list(res), [False, False, True])
+        assert list(res.keys()) == ['e', 'g', 'f']
+        assert [arr.all() for arr in res.values()] == [True, False, True]
+
+        e2 = self.e.copy()
+        e2.i[1, 1] = 42
+        other = Session([('e', e2), ('f', self.f)])
+        res = sess == other
+        assert [arr.all() for arr in res.values()] == [False, False, True]
 
     def test_ne(self):
         sess = self.session.filter(kind=LArray)
         expected = Session([('e', self.e), ('f', self.f), ('g', self.g)])
-        self.assertFalse(any(sess != expected))
+        assert ([(~array).all() for array in (sess != expected).values()])
 
-        other = Session({'e': self.e, 'f': self.f})
+        other = Session([('e', self.e), ('f', self.f)])
         res = sess != other
-        self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
-        self.assertEqual(list(res), [False, True, False])
+        assert [(~arr).all() for arr in res.values()] == [True, False, True]
 
         e2 = self.e.copy()
         e2.i[1, 1] = 42
-        other = Session({'e': e2, 'f': self.f})
+        other = Session([('e', e2), ('f', self.f)])
         res = sess != other
-        self.assertEqual(res.axes.names, ['name'])
-        self.assertTrue(np.array_equal(res.axes.labels[0], ['e', 'g', 'f']))
-        self.assertEqual(list(res), [True, True, False])
+        assert [(~arr).all() for arr in res.values()] == [False, False, True]
 
     def test_sub(self):
         sess = self.session.filter(kind=LArray)
@@ -358,7 +370,7 @@ def test_pickle_roundtrip(self):
         original = self.session
         s = pickle.dumps(original)
         res = pickle.loads(s)
-        self.assertTrue(all(res == original))
+        assert res.equals(original)
 
 
 if __name__ == "__main__":

From 5621c9a9a5dd3e656b74077173e871a63b21f1de Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 18 Dec 2017 09:49:28 +0100
Subject: [PATCH 868/899] issue 437 : added more tests

---
 doc/source/changes/version_0_28.rst.inc |  6 +++++-
 larray/core/group.py                    |  2 +-
 larray/tests/test_group.py              | 25 ++++++++++++++++++++++++-
 3 files changed, 30 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 7f0eee3c7..a4d79f5c2 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -146,4 +146,8 @@ Miscellaneous improvements
 Fixes
 -----
 
-* fixed something (closes :issue:`1`).
\ No newline at end of file
+* fixed subscript a string LGroup key (closes :issue:`437`):
+
+    >>> axis = Axis("a=a0,a1")
+    >>> axis['a0'][0]
+    'a'
\ No newline at end of file
diff --git a/larray/core/group.py b/larray/core/group.py
index af909d5e7..deb61b2e5 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -971,7 +971,7 @@ def __getitem__(self, key):
         elif isinstance(orig_key, ABCLArray):
             # XXX: why .i ?
             return cls(orig_key.i[key], None, self.axis)
-        elif isinstance(orig_key, int):
+        elif np.isscalar(orig_key):
             # give the opportunity to subset the label/key itself (for example for string keys)
             value = self.eval()
             return value[key]
diff --git a/larray/tests/test_group.py b/larray/tests/test_group.py
index 3d37e3d0a..bbf6f2f14 100644
--- a/larray/tests/test_group.py
+++ b/larray/tests/test_group.py
@@ -6,7 +6,7 @@
 import numpy as np
 
 from larray.tests.common import assert_array_equal
-from larray import Axis, LGroup, LSet
+from larray import Axis, LGroup, LSet, ndtest
 
 
 class TestLGroup(TestCase):
@@ -98,6 +98,18 @@ def test_eq(self):
         self.assertEqual(self.list, ['P01', 'P03', 'P04'])
         self.assertEqual(self.list_named, ['P01', 'P03', 'P04'])
 
+    def test_getitem(self):
+        axis = Axis("a=a0,a1")
+        assert axis['a0'][0] == 'a'
+        assert axis['a0'][1] == '0'
+        assert axis['a0':'a1'][1] == 'a1'
+        assert axis[:][1] == 'a1'
+        assert list(axis[:][0:2]) == ['a0', 'a1']
+        assert list((axis[:][[1, 0]])) == ['a1', 'a0']
+        assert axis[['a0', 'a1', 'a0']][2] == 'a0'
+        assert axis[('a0', 'a1', 'a0')][2] == 'a0'
+        assert axis[ndtest("a=a0,a1,a0")][2] == 2
+
     def test_sorted(self):
         self.assertEqual(sorted(LGroup(['c', 'd', 'a', 'b'])),
                          [LGroup('a'), LGroup('b'), LGroup('c'), LGroup('d')])
@@ -235,6 +247,17 @@ def test_eq(self):
         self._assert_array_equal_is_true_array(self.list, ['a0', 'a1', 'a3', 'a4'])
         self._assert_array_equal_is_true_array(self.tuple, ['a0', 'a1', 'a3', 'a4'])
 
+    def test_getitem(self):
+        axis = Axis("a=a0,a1")
+        assert axis.i[0][0] == 'a'
+        assert axis.i[0][1] == '0'
+        assert axis.i[0:1][1] == 'a1'
+        assert axis.i[:][1] == 'a1'
+        assert list(axis.i[:][0:2]) == ['a0', 'a1']
+        assert list((axis.i[:][[1, 0]])) == ['a1', 'a0']
+        assert axis.i[[0, 1, 0]][2] == 'a0'
+        assert axis.i[(0, 1, 0)][2] == 'a0'
+
     def test_getattr(self):
         agg = Axis(['a1:a2', ':a2', 'a1:'], 'agg')
         self.assertEqual(agg.i[0].split(':'), ['a1', 'a2'])

From f47917fb7419b90b0e14ebb394adb9d6727b78f4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 11 Dec 2017 11:43:27 +0100
Subject: [PATCH 869/899] fix #489 : made
 Axis.union/intersection/difference(single_string) to return the correct Axis
 (single string were treated as sequence and split character by character)

---
 doc/source/changes/version_0_28.rst.inc | 17 ++++++-
 larray/core/axis.py                     | 59 ++++++++++++++++++-------
 larray/core/group.py                    | 36 ++++++++-------
 3 files changed, 80 insertions(+), 32 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index a4d79f5c2..e0e72ca8d 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -150,4 +150,19 @@ Fixes
 
     >>> axis = Axis("a=a0,a1")
     >>> axis['a0'][0]
-    'a'
\ No newline at end of file
+    'a'
+
+* fixed `Axis.union`, `Axis.intersection` and `Axis.difference` when passed value is a single string
+  (closes :issue:`489`):
+
+    >>> a = Axis('a=a0..a2')
+    >>> a.union('a1')
+    Axis(['a0', 'a1', 'a2'], 'a')
+    >>> a.union('a3')
+    Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+    >>> a.union('a1..a3')
+    Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+    >>> a.intersection('a1..a3')
+    Axis(['a1', 'a2'], 'a')
+    >>> a.difference('a1..a3')
+    Axis(['a0'], 'a')
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 2f404bd09..974d024e4 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -1067,12 +1067,21 @@ def union(self, other):
 
         Examples
         --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.union(Axis('letters=b,c'))
-        Axis(['a', 'b', 'c'], 'letters')
-        >>> letters.union(['b', 'c'])
-        Axis(['a', 'b', 'c'], 'letters')
+        >>> a = Axis('a=a0..a2')
+        >>> a.union('a1')
+        Axis(['a0', 'a1', 'a2'], 'a')
+        >>> a.union('a3')
+        Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+        >>> a.union(Axis('a=a1..a3'))
+        Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+        >>> a.union('a1..a3')
+        Axis(['a0', 'a1', 'a2', 'a3'], 'a')
+        >>> a.union(['a1', 'a2', 'a3'])
+        Axis(['a0', 'a1', 'a2', 'a3'], 'a')
         """
+        if isinstance(other, basestring):
+            # TODO : remove [other] if ... when FuturWarning raised in Axis.init will be removed
+            other = _to_ticks(other, parse_single_int=True) if '..' in other or ',' in other else [other]
         if isinstance(other, Axis):
             other = other.labels
         unique_labels = []
@@ -1098,12 +1107,21 @@ def intersection(self, other):
 
         Examples
         --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.intersection(Axis('letters=b,c'))
-        Axis(['b'], 'letters')
-        >>> letters.intersection(['b', 'c'])
-        Axis(['b'], 'letters')
+        >>> a = Axis('a=a0..a2')
+        >>> a.intersection('a1')
+        Axis(['a1'], 'a')
+        >>> a.intersection('a3')
+        Axis([], 'a')
+        >>> a.intersection(Axis('a=a1..a3'))
+        Axis(['a1', 'a2'], 'a')
+        >>> a.intersection('a1..a3')
+        Axis(['a1', 'a2'], 'a')
+        >>> a.intersection(['a1', 'a2', 'a3'])
+        Axis(['a1', 'a2'], 'a')
         """
+        if isinstance(other, basestring):
+            # TODO : remove [other] if ... when FuturWarning raised in Axis.init will be removed
+            other = _to_ticks(other, parse_single_int=True) if '..' in other or ',' in other else [other]
         if isinstance(other, Axis):
             other = other.labels
         to_keep = set(other)
@@ -1126,12 +1144,21 @@ def difference(self, other):
 
         Examples
         --------
-        >>> letters = Axis('letters=a,b')
-        >>> letters.difference(Axis('letters=b,c'))
-        Axis(['a'], 'letters')
-        >>> letters.difference(['b', 'c'])
-        Axis(['a'], 'letters')
-        """
+        >>> a = Axis('a=a0..a2')
+        >>> a.difference('a1')
+        Axis(['a0', 'a2'], 'a')
+        >>> a.difference('a3')
+        Axis(['a0', 'a1', 'a2'], 'a')
+        >>> a.difference(Axis('a=a1..a3'))
+        Axis(['a0'], 'a')
+        >>> a.difference('a1..a3')
+        Axis(['a0'], 'a')
+        >>> a.difference(['a1', 'a2', 'a3'])
+        Axis(['a0'], 'a')
+        """
+        if isinstance(other, basestring):
+            # TODO : remove [other] if ... when FuturWarning raised in Axis.init will be removed
+            other = _to_ticks(other, parse_single_int=True) if '..' in other or ',' in other else [other]
         if isinstance(other, Axis):
             other = other.labels
         to_drop = set(other)
diff --git a/larray/core/group.py b/larray/core/group.py
index deb61b2e5..e76183187 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -1075,11 +1075,13 @@ def union(self, other):
         Examples
         --------
         >>> from larray import Axis
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].union(letters['b', 'c'])
-        letters['a', 'b', 'c'].set()
-        >>> letters['a', 'b'].union(['b', 'c'])
-        letters['a', 'b', 'c'].set()
+        >>> a = Axis('a=a0..a2')
+        >>> a['a0', 'a1'].union(a['a1', 'a2'])
+        a['a0', 'a1', 'a2'].set()
+        >>> a['a0', 'a1'].union('a1,a2')
+        a['a0', 'a1', 'a2'].set()
+        >>> a['a0', 'a1'].union(['a1', 'a2'])
+        a['a0', 'a1', 'a2'].set()
         """
         return self.set().union(other)
 
@@ -1101,11 +1103,13 @@ def intersection(self, other):
         Examples
         --------
         >>> from larray import Axis
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].intersection(letters['b', 'c'])
-        letters['b'].set()
-        >>> letters['a', 'b'].intersection(['b', 'c'])
-        letters['b'].set()
+        >>> a = Axis('a=a0..a2')
+        >>> a['a0', 'a1'].intersection(a['a1', 'a2'])
+        a['a1'].set()
+        >>> a['a0', 'a1'].intersection('a1,a2')
+        a['a1'].set()
+        >>> a['a0', 'a1'].intersection(['a1', 'a2'])
+        a['a1'].set()
         """
         return self.set().intersection(other)
 
@@ -1127,11 +1131,13 @@ def difference(self, other):
         Examples
         --------
         >>> from larray import Axis
-        >>> letters = Axis('letters=a..d')
-        >>> letters['a', 'b'].difference(letters['b', 'c'])
-        letters['a'].set()
-        >>> letters['a', 'b'].difference(['b', 'c'])
-        letters['a'].set()
+        >>> a = Axis('a=a0..a2')
+        >>> a['a0', 'a1'].difference(a['a1', 'a2'])
+        a['a0'].set()
+        >>> a['a0', 'a1'].difference('a1,a2')
+        a['a0'].set()
+        >>> a['a0', 'a1'].difference(['a1', 'a2'])
+        a['a0'].set()
         """
         return self.set().difference(other)
 

From a742e208048dfb4d57b2f2d18cc7f5fc8bfd79da Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 25 Jan 2018 15:42:55 +0100
Subject: [PATCH 870/899] added np.set_printoptions(legacy='1.13') in
 util/misc.py module to not break doctests if numpy version > 1.13

---
 larray/util/misc.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/larray/util/misc.py b/larray/util/misc.py
index a28fced93..76ec38332 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -20,6 +20,10 @@
     izip = zip
 
 import numpy as np
+try:
+    np.set_printoptions(legacy='1.13')
+except TypeError:
+    pass
 
 if sys.version_info[0] < 3:
     basestring = basestring

From 3819a97bcfb9e41d54af53f6dd6736d8289a48dc Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 8 Dec 2017 15:21:16 +0100
Subject: [PATCH 871/899] fix #513 : add parameter exclude_private to
 local/globals/_arrays in Session to exclude private vars.

---
 doc/source/changes/version_0_28.rst.inc | 20 +++++++++++
 larray/core/session.py                  | 24 +++++++++++--
 larray/tests/test_session.py            | 46 ++++++++++++++++++++++++-
 3 files changed, 86 insertions(+), 4 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index e0e72ca8d..b2ee7a749 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -105,6 +105,26 @@ New features
 Miscellaneous improvements
 --------------------------
 
+* functions `local_arrays`, `global_arrays` and `arrays` returns a session excluding arrays starting by `_`
+  by default. To include them, set the flag `include_private` to True (closes :issue:`513`):
+
+    >>> global_arr1 = ndtest((2, 2))
+    >>> _global_arr2 = ndtest((3, 3))
+    >>> def foo():
+    ...     local_arr1 = ndtest(2)
+    ...     _local_arr2 = ndtest(3)
+    ...
+    ...     # exclude arrays starting with '_' by default
+    ...     s = arrays()
+    ...     print(s.names)
+    ...
+    ...     # use flag 'include_private' to include arrays starting with '_'
+    ...     s = arrays(include_private=True)
+    ...     print(s.names)
+    >>> foo()
+    ['global_arr1', 'local_arr1']
+    ['_global_arr2', '_local_arr2', 'global_arr1', 'local_arr1']
+
 * added possibility to call the method `reindex` with a group (closes :issue:`531`):
 
     >>> arr = ndtest((2, 2))
diff --git a/larray/core/session.py b/larray/core/session.py
index 77d2c8a34..0bd0e14a6 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -1003,7 +1003,11 @@ def summary(self, template=None):
         return '\n'.join(template.format(**kwargs) for kwargs in templ_kwargs)
 
 
-def local_arrays(depth=0):
+def _exclude_private_vars(vars_dict):
+    return {k: v for k, v in vars_dict.items() if not k.startswith('_')}
+
+
+def local_arrays(depth=0, include_private=False):
     """
     Returns a session containing all local arrays sorted in alphabetical order.
 
@@ -1011,6 +1015,8 @@ def local_arrays(depth=0):
     ----------
     depth: int
         depth of call frame to inspect. 0 is where `local_arrays` was called, 1 the caller of `local_arrays`, etc.
+    include_private: boolean, optional
+        Whether or not to include private local arrays (i.e. arrays starting with `_`). Defaults to False.
 
     Returns
     -------
@@ -1018,10 +1024,12 @@ def local_arrays(depth=0):
     """
     # noinspection PyProtectedMember
     d = sys._getframe(depth + 1).f_locals
+    if not include_private:
+        d = _exclude_private_vars(d)
     return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
 
 
-def global_arrays(depth=0):
+def global_arrays(depth=0, include_private=False):
     """
     Returns a session containing all global arrays sorted in alphabetical order.
 
@@ -1029,6 +1037,8 @@ def global_arrays(depth=0):
     ----------
     depth: int
         depth of call frame to inspect. 0 is where `global_arrays` was called, 1 the caller of `global_arrays`, etc.
+    include_private: boolean, optional
+        Whether or not to include private globals arrays (i.e. arrays starting with `_`). Defaults to False.
 
     Returns
     -------
@@ -1036,10 +1046,12 @@ def global_arrays(depth=0):
     """
     # noinspection PyProtectedMember
     d = sys._getframe(depth + 1).f_globals
+    if not include_private:
+        d = _exclude_private_vars(d)
     return Session((k, d[k]) for k in sorted(d.keys()) if isinstance(d[k], LArray))
 
 
-def arrays(depth=0):
+def arrays(depth=0, include_private=False):
     """
     Returns a session containing all available arrays (whether they are defined in local or global variables) sorted in
     alphabetical order. Local arrays take precedence over global ones (if a name corresponds to both a local
@@ -1049,6 +1061,8 @@ def arrays(depth=0):
     ----------
     depth: int
         depth of call frame to inspect. 0 is where `arrays` was called, 1 the caller of `arrays`, etc.
+    include_private: boolean, optional
+        Whether or not to include private arrays (i.e. arrays starting with `_`). Defaults to False.
 
     Returns
     -------
@@ -1059,6 +1073,10 @@ def arrays(depth=0):
     global_vars = caller_frame.f_globals
     local_vars = caller_frame.f_locals
 
+    if not include_private:
+        global_vars = _exclude_private_vars(global_vars)
+        local_vars = _exclude_private_vars(local_vars)
+
     # We must first get all variables *then* filter by type, otherwise we could return a global array which is not
     # currently available because it is shadowed by a local non-array variable.
     all_keys = sorted(set(global_vars.keys()) | set(local_vars.keys()))
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index aa1dedbb3..ae1fb2766 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -9,7 +9,8 @@
 import pytest
 
 from larray.tests.common import assert_array_nan_equal, inputpath
-from larray import Session, Axis, LArray, isnan, larray_equal, zeros_like, ndtest
+from larray import (Session, Axis, LArray, isnan, larray_equal, zeros_like, ndtest,
+                    local_arrays, global_arrays, arrays)
 from larray.util.misc import pickle
 
 try:
@@ -26,6 +27,9 @@ def equal(o1, o2):
     else:
         return o1 == o2
 
+global_arr1 = ndtest((2, 2))
+_global_arr2 = ndtest((3, 3))
+
 
 class TestSession(TestCase):
     def setUp(self):
@@ -372,6 +376,46 @@ def test_pickle_roundtrip(self):
         res = pickle.loads(s)
         assert res.equals(original)
 
+    def test_local_arrays(self):
+        local_arr1 = ndtest(2)
+        _local_arr2 = ndtest(3)
+
+        # exclude private local arrays
+        s = local_arrays()
+        s_expected = Session([('local_arr1', local_arr1)])
+        assert s.equals(s_expected)
+
+        # all local arrays
+        s = local_arrays(include_private=True)
+        s_expected = Session([('local_arr1', local_arr1), ('_local_arr2', _local_arr2)])
+        assert s.equals(s_expected)
+
+    def test_global_arrays(self):
+        # exclude private global arrays
+        s = global_arrays()
+        s_expected = Session([('global_arr1', global_arr1)])
+        assert s.equals(s_expected)
+
+        # all global arrays
+        s = global_arrays(include_private=True)
+        s_expected = Session([('global_arr1', global_arr1), ('_global_arr2', _global_arr2)])
+        assert s.equals(s_expected)
+
+    def test_arrays(self):
+        local_arr1 = ndtest(2)
+        _local_arr2 = ndtest(3)
+
+        # exclude private arrays
+        s = arrays()
+        s_expected = Session([('local_arr1', local_arr1), ('global_arr1', global_arr1)])
+        assert s.equals(s_expected)
+
+        # all arrays
+        s = arrays(include_private=True)
+        s_expected = Session([('local_arr1', local_arr1), ('_local_arr2', _local_arr2),
+                              ('global_arr1', global_arr1), ('_global_arr2', _global_arr2)])
+        assert s.equals(s_expected)
+
 
 if __name__ == "__main__":
     pytest.main()

From 1d14bbddc3e083bcc24294a4c6e590575a0f02a8 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 8 Dec 2017 11:47:38 +0100
Subject: [PATCH 872/899] fix #514 : implemented sessions binary ops with non
 Sessions

---
 doc/source/changes/version_0_28.rst.inc | 40 +++++++++++++++++++++++++
 larray/core/session.py                  | 10 ++++---
 larray/tests/test_session.py            | 23 +++++++++++---
 3 files changed, 65 insertions(+), 8 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index b2ee7a749..f1a7e4923 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -125,6 +125,46 @@ Miscellaneous improvements
     ['global_arr1', 'local_arr1']
     ['_global_arr2', '_local_arr2', 'global_arr1', 'local_arr1']
 
+* implemented sessions binary operations with non sessions objects (closes :issue:`514`):
+
+    >>> s = Session(arr1=ndtest((2, 2)), arr2=ndtest((3, 3)))
+    >>> s.arr1
+    a\b  b0  b1
+     a0   0   1
+     a1   2   3
+    >>> s.arr2
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+     a2   6   7   8
+
+    Add a scalar to all arrays
+
+    >>> # equivalent to s2 = 3 + s
+    >>> s2 = s + 3
+    >>> s2.arr1
+    a\b  b0  b1
+     a0   3   4
+     a1   5   6
+    >>> s2.arr2
+    a\b  b0  b1  b2
+     a0   3   4   5
+     a1   6   7   8
+     a2   9  10  11
+
+    Apply binary operations between two sessions
+
+    >>> sdiff = (s2 - s) / s
+    >>> sdiff.arr1
+    a\b   b0   b1
+     a0  inf  3.0
+     a1  1.5  1.0
+    >>> sdiff.arr2
+    a\b   b0    b1     b2
+     a0  inf   3.0    1.5
+     a1  1.0  0.75    0.6
+     a2  0.5  0.43  0.375
+
 * added possibility to call the method `reindex` with a group (closes :issue:`531`):
 
     >>> arr = ndtest((2, 2))
diff --git a/larray/core/session.py b/larray/core/session.py
index 0bd0e14a6..13297a1f2 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -654,21 +654,23 @@ def _binop(opname):
 
         def opmethod(self, other):
             self_keys = set(self.keys())
-            all_keys = list(self.keys()) + [n for n in other.keys() if n not in self_keys]
+            all_keys = list(self.keys())
+            if hasattr(other, 'keys'):
+                all_keys += [n for n in other.keys() if n not in self_keys]
             with np.errstate(call=_session_float_error_handler):
                 res = []
                 for name in all_keys:
                     self_array = self.get(name, np.nan)
-                    other_array = other.get(name, np.nan)
+                    other_operand = other.get(name, np.nan) if hasattr(other, 'get') else other
                     try:
-                        res_array = getattr(self_array, opfullname)(other_array)
+                        res_array = getattr(self_array, opfullname)(other_operand)
                     # TypeError for str arrays, ValueError for incompatible axes, ...
                     except Exception:
                         res_array = np.nan
                     # this should only ever happen when self_array is a non Array (eg. nan)
                     if res_array is NotImplemented:
                         try:
-                            res_array = getattr(other_array, '__%s__' % inverseop(opname))(self_array)
+                            res_array = getattr(other_operand, '__%s__' % inverseop(opname))(self_array)
                         # TypeError for str arrays, ValueError for incompatible axes, ...
                         except Exception:
                             res_array = np.nan
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index ae1fb2766..c203d8b37 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -9,7 +9,7 @@
 import pytest
 
 from larray.tests.common import assert_array_nan_equal, inputpath
-from larray import (Session, Axis, LArray, isnan, larray_equal, zeros_like, ndtest,
+from larray import (Session, Axis, LArray, isnan, larray_equal, zeros_like, ndtest, ones_like,
                     local_arrays, global_arrays, arrays)
 from larray.util.misc import pickle
 
@@ -339,11 +339,26 @@ def test_ne(self):
 
     def test_sub(self):
         sess = self.session.filter(kind=LArray)
-        other = Session({'e': self.e - 1, 'f': 1})
+
+        # session - session
+        other = Session({'e': self.e - 1, 'f': ones_like(self.f)})
         diff = sess - other
         assert_array_nan_equal(diff['e'], np.full((2, 3), 1, dtype=np.int32))
-        assert_array_nan_equal(diff['f'], np.arange(-1, 5).reshape(3, 2))
-        self.assertTrue(isnan(diff['g']).all())
+        assert_array_nan_equal(diff['f'], self.f - ones_like(self.f))
+        assert isnan(diff['g']).all()
+
+        # session - scalar
+        diff = sess - 2
+        assert_array_nan_equal(diff['e'], self.e - 2)
+        assert_array_nan_equal(diff['f'], self.f - 2)
+        assert_array_nan_equal(diff['g'], self.g - 2)
+
+        # session - dict(LArray and scalar)
+        other = {'e': ones_like(self.e), 'f': 1}
+        diff = sess - other
+        assert_array_nan_equal(diff['e'], self.e - ones_like(self.e))
+        assert_array_nan_equal(diff['f'], self.f - 1)
+        assert isnan(diff['g']).all()
 
     def test_div(self):
         sess = self.session.filter(kind=LArray)

From 114eac470de59cd13752a33d3b528c559520ef78 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 8 Dec 2017 17:31:00 +0100
Subject: [PATCH 873/899] fix #515 : implemented rXXX binary ops on sessions

---
 doc/source/changes/version_0_28.rst.inc |  4 ++--
 larray/core/session.py                  |  5 ++++
 larray/tests/test_session.py            | 31 +++++++++++++++++++++++++
 3 files changed, 38 insertions(+), 2 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index f1a7e4923..f52090067 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -125,7 +125,7 @@ Miscellaneous improvements
     ['global_arr1', 'local_arr1']
     ['_global_arr2', '_local_arr2', 'global_arr1', 'local_arr1']
 
-* implemented sessions binary operations with non sessions objects (closes :issue:`514`):
+* implemented sessions binary operations with non sessions objects (closes :issue:`514` and :issue:`515`):
 
     >>> s = Session(arr1=ndtest((2, 2)), arr2=ndtest((3, 3)))
     >>> s.arr1
@@ -151,7 +151,7 @@ Miscellaneous improvements
      a0   3   4   5
      a1   6   7   8
      a2   9  10  11
-
+     
     Apply binary operations between two sessions
 
     >>> sdiff = (s2 - s) / s
diff --git a/larray/core/session.py b/larray/core/session.py
index 13297a1f2..23fde4913 100644
--- a/larray/core/session.py
+++ b/larray/core/session.py
@@ -680,9 +680,14 @@ def opmethod(self, other):
         return opmethod
 
     __add__ = _binop('add')
+    __radd__ = _binop('radd')
     __sub__ = _binop('sub')
+    __rsub__ = _binop('rsub')
     __mul__ = _binop('mul')
+    __rmul__ = _binop('rmul')
     __truediv__ = _binop('truediv')
+    __rtruediv__ = _binop('rtruediv')
+
     __eq__ = _binop('eq')
     __ne__ = _binop('ne')
 
diff --git a/larray/tests/test_session.py b/larray/tests/test_session.py
index c203d8b37..ebeb62e14 100644
--- a/larray/tests/test_session.py
+++ b/larray/tests/test_session.py
@@ -360,6 +360,22 @@ def test_sub(self):
         assert_array_nan_equal(diff['f'], self.f - 1)
         assert isnan(diff['g']).all()
 
+    def test_rsub(self):
+        sess = self.session.filter(kind=LArray)
+
+        # scalar - session
+        diff = 2 - sess
+        assert_array_nan_equal(diff['e'], 2 - self.e)
+        assert_array_nan_equal(diff['f'], 2 - self.f)
+        assert_array_nan_equal(diff['g'], 2 - self.g)
+
+        # dict(LArray and scalar) - session
+        other = {'e': ones_like(self.e), 'f': 1}
+        diff = other - sess
+        assert_array_nan_equal(diff['e'], ones_like(self.e) - self.e)
+        assert_array_nan_equal(diff['f'], 1 - self.f)
+        assert isnan(diff['g']).all()
+
     def test_div(self):
         sess = self.session.filter(kind=LArray)
         other = Session({'e': self.e - 1, 'f': self.f + 1})
@@ -378,6 +394,21 @@ def test_div(self):
         assert_array_nan_equal(res['f'], flat_f.reshape(3, 2))
         self.assertTrue(isnan(res['g']).all())
 
+    def test_rdiv(self):
+        sess = self.session.filter(kind=LArray)
+
+        # scalar / session
+        res = 2 / sess
+        assert_array_nan_equal(res['e'], 2 / self.e)
+        assert_array_nan_equal(res['f'], 2 / self.f)
+        assert_array_nan_equal(res['g'], 2 / self.g)
+
+        # dict(LArray and scalar) - session
+        other = {'e': self.e, 'f': self.f}
+        res = other / sess
+        assert_array_nan_equal(res['e'], self.e / self.e)
+        assert_array_nan_equal(res['f'], self.f / self.f)
+
     def test_summary(self):
         sess = self.session.filter(kind=LArray)
         self.assertEqual(sess.summary(),

From d3e22e2f8a728c9560c8f868151f51e6040215e1 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 26 Jan 2018 12:40:13 +0100
Subject: [PATCH 874/899] fix #178 : fixed passing a scalar group from an
 external axis to get subset of an array

---
 doc/source/changes/version_0_28.rst.inc | 16 +++++++++++++++-
 larray/core/array.py                    | 25 ++++++++++++++++++-------
 larray/tests/test_array.py              | 14 +++++++++++---
 3 files changed, 44 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index f52090067..7409aed64 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -151,7 +151,7 @@ Miscellaneous improvements
      a0   3   4   5
      a1   6   7   8
      a2   9  10  11
-     
+
     Apply binary operations between two sessions
 
     >>> sdiff = (s2 - s) / s
@@ -206,6 +206,20 @@ Miscellaneous improvements
 Fixes
 -----
 
+* fixed passing a scalar group from an external axis to get a subset of an array (closes :issue:`178`):
+
+    >>> arr = ndtest((3, 2))
+    >>> arr['a1']
+    b  b0  b1
+        2   3
+    >>> alt_a = Axis("alt_a=a1..a2")
+    >>> arr[alt_a['a1']]
+    b  b0  b1
+        2   3
+    >>> arr[alt_a.i[0]]
+    b  b0  b1
+        2   3
+
 * fixed subscript a string LGroup key (closes :issue:`437`):
 
     >>> axis = Axis("a=a0,a1")
diff --git a/larray/core/array.py b/larray/core/array.py
index a3b50fb87..3ba76543d 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1705,15 +1705,20 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
         IGroup
             Positional group with valid axes (from self.axes)
         """
+        axis_key = remove_nested_groups(axis_key)
 
         if isinstance(axis_key, Group) and axis_key.axis is not None:
             # retarget to real axis, if needed
             # only retarget IGroup and not LGroup to give the opportunity for axis.translate to try the "ticks"
             # version of the group ONLY if key.axis is not real_axis (for performance reasons)
             if isinstance(axis_key, IGroup):
-                axis_key = axis_key.retarget_to(self.axes[axis_key.axis])
-
-        axis_key = remove_nested_groups(axis_key)
+                if axis_key.axis in self.axes:
+                    axis_key = axis_key.retarget_to(self.axes[axis_key.axis])
+                else:
+                    # axis associated with axis_key may not belong to self.
+                    # In that case, we translate IGroup to labels and search for a compatible axis
+                    # (see end of this method)
+                    axis_key = axis_key.to_label()
 
         # already positional
         if isinstance(axis_key, IGroup):
@@ -1723,12 +1728,18 @@ def _translate_axis_key_chunk(self, axis_key, bool_passthrough=True):
 
         # labels but known axis
         if isinstance(axis_key, LGroup) and axis_key.axis is not None:
-            real_axis = self.axes[axis_key.axis]
             try:
-                axis_pos_key = real_axis.index(axis_key, bool_passthrough)
+                real_axis = self.axes[axis_key.axis]
+                try:
+                    axis_pos_key = real_axis.index(axis_key, bool_passthrough)
+                except KeyError:
+                    raise ValueError("%r is not a valid label for any axis" % axis_key)
+                return real_axis.i[axis_pos_key]
             except KeyError:
-                raise ValueError("%r is not a valid label for any axis" % axis_key)
-            return real_axis.i[axis_pos_key]
+                # axis associated with axis_key may not belong to self.
+                # In that case, we translate LGroup to labels and search for a compatible axis
+                # (see end of this method)
+                axis_key = axis_key.to_label()
 
         # otherwise we need to guess the axis
         # TODO: instead of checking all axes, we should have a big mapping
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 1a8aff932..ff6042955 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -270,13 +270,21 @@ def test_getitem(self):
         res = arr[arr.b['l1']]
         assert_array_equal(res, arr.data[:, 0])
 
+        # scalar group on another axis
+        arr = ndtest((3, 2))
+        alt_a = Axis("alt_a=a1..a2")
+        lgroup = alt_a['a1']
+        assert_array_equal(arr[lgroup], arr['a1'])
+        pgroup = alt_a.i[0]
+        assert_array_equal(arr[pgroup], arr['a1'])
+
         # key with duplicate axes
         with self.assertRaises(ValueError):
             la[age[1, 2], age[3, 4]]
 
-        # key with invalid axis
+        # key with lgroup from another axis leading to duplicate axis
         bad = Axis(3, 'bad')
-        with self.assertRaises(KeyError):
+        with self.assertRaises(ValueError):
             la[bad[1, 2], age[3, 4]]
 
     def test_getitem_abstract_axes(self):
@@ -315,7 +323,7 @@ def test_getitem_abstract_axes(self):
             la[X.age[1, 2], X.age[3]]
 
         # key with invalid axis
-        with self.assertRaises(KeyError):
+        with self.assertRaises(ValueError):
             la[X.bad[1, 2], X.age[3, 4]]
 
     def test_getitem_anonymous_axes(self):

From c24dd498cffb7ff6d4992e26685d0d54725fe66d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 1 Feb 2018 10:04:51 +0100
Subject: [PATCH 875/899] (documentation) : replaced 'x.' by 'X.' in
 getting_started.rst

---
 doc/source/getting_started.rst | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/doc/source/getting_started.rst b/doc/source/getting_started.rst
index 4c13440a4..7c6662f7f 100644
--- a/doc/source/getting_started.rst
+++ b/doc/source/getting_started.rst
@@ -161,7 +161,7 @@ Let's continue with subsets:
     When several axes have common labels and you do not specify explicitly
     on which axis to work, it fails with an error
     (ValueError: ... is ambiguous (valid in a, b)).
-    Specifying the axis can be done using the special notation ``x.axis_name``.
+    Specifying the axis can be done using the special notation ``X.axis_name``.
     The axis name must not contain whitespaces and special characters.
 
 .. ipython:: python
@@ -171,7 +171,7 @@ Let's continue with subsets:
     arr2
 
     # equivalent to: arr2["label0", "b[label1]"]
-    arr2["label0", x.b["label1"]]
+    arr2["label0", X.b["label1"]]
 
 You can also define slices (defined by 'start:stop' or 'start:stop:step').
 A slice will select all labels between `start` and `stop` (stop included).
@@ -200,7 +200,7 @@ For example, to calculate the sum along an axis, write:
     arr_3D
 
     # equivalent to: arr_3D.sum("a")
-    arr_3D.sum(x.a)
+    arr_3D.sum(X.a)
 
 To aggregate along all axes except one, you simply have to append `_by`
 to the aggregation method you want to use:
@@ -208,7 +208,7 @@ to the aggregation method you want to use:
 .. ipython:: python
 
     # equivalent to: arr_3D.sum_by("a")
-    arr_3D.sum_by(x.a)
+    arr_3D.sum_by(X.a)
 
 See :ref:`here <la_agg>` to get the list of all available aggregation methods.
 
@@ -221,10 +221,10 @@ A :ref:`Group <api-group>` represents a subset of labels or positions of an axis
 
     arr
 
-    even = x.a["a0", "a2"]
+    even = X.a["a0", "a2"]
     even
 
-    odd = x.a["a1", "a3"]
+    odd = X.a["a1", "a3"]
     odd
 
 They can be used in selections:

From 83e7409dd38f5642311a891cb354b1beaf0d46e2 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 29 Jan 2018 17:21:52 +0100
Subject: [PATCH 876/899] fix #73 : translated tutorial from reST file to
 Jupyter notebook prepare repository to use mybinder

* updated /doc/source/conf.py and /doc/environment.yml to allow to include jupyter notebooks in documentation using nbsphinx

* translated file tutorial.rst to jupyter notebook tutorial.ipyml/ipynb

* updated /doc/source/index.rst to point to the notebook tutorial.ipynb

* added environment.yml to new /binder directory so as to use mybinder

* updated config.py to add a binder badge to all html pages generated from a jupyter notebook
---
 binder/environment.yml             |   10 +
 doc/environment.yml                |    2 +
 doc/source/conf.py                 |   31 +
 doc/source/getting_started.rst     |    2 +
 doc/source/tutorial.rst            | 1401 +---------------
 doc/source/tutorial/tutorial.ipyml | 1504 +++++++++++++++++
 doc/source/tutorial/tutorial.ipynb | 2479 ++++++++++++++++++++++++++++
 7 files changed, 4036 insertions(+), 1393 deletions(-)
 create mode 100644 binder/environment.yml
 create mode 100644 doc/source/tutorial/tutorial.ipyml
 create mode 100644 doc/source/tutorial/tutorial.ipynb

diff --git a/binder/environment.yml b/binder/environment.yml
new file mode 100644
index 000000000..b69eda049
--- /dev/null
+++ b/binder/environment.yml
@@ -0,0 +1,10 @@
+name: larray-binder
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - numpy
+  - pandas
+  - matplotlib
+  - pytables
+  - larray
diff --git a/doc/environment.yml b/doc/environment.yml
index 7e2eebe21..22bb73a8c 100644
--- a/doc/environment.yml
+++ b/doc/environment.yml
@@ -12,3 +12,5 @@ dependencies:
   - numpydoc
   - pandoc
   - ipython
+  - ipykernel
+  - nbsphinx
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 350f00ad6..e0c865b6a 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -41,6 +41,7 @@
     'sphinx.ext.viewcode',
     'sphinx.ext.extlinks',
     'numpydoc',
+    'nbsphinx',
     'sphinx.ext.mathjax',
     'IPython.sphinxext.ipython_directive',
     'IPython.sphinxext.ipython_console_highlighting'
@@ -61,6 +62,36 @@
 
 # ==============================================================
 
+# There are three possible settings, "always", "auto" and "never".
+# By default (= "auto"), notebooks with no outputs are executed and notebooks with
+# at least one output are not.
+# nbsphinx_execute = 'auto'
+
+# Normally, if an exception is raised while executing a notebook,
+# the Sphinx build process is stopped immediately.
+# However, it is possible to allow errors in all notebooks using option bellow
+nbsphinx_allow_errors = True
+
+# This is processed by Jinja2 and inserted before each notebook
+nbsphinx_prolog = r"""
+{% set docname = env.doc2path(env.docname, base='doc') %}
+
+.. only:: html
+
+    .. role:: raw-html(raw)
+        :format: html
+        
+    .. nbinfo::
+        Interactive online version:
+        :raw-html:`<a href="https://mybinder.org/v2/gh/liam2/larray/{{ env.config.release }}?
+        filepath={{ docname }}"><img alt="Binder badge" src="https://mybinder.org/badge.svg" 
+        style="vertical-align:text-bottom"></a>`
+
+    __ https://github.com/liam2/larray/blob/{{ env.config.release }}/{{ docname }}
+"""
+
+# ==============================================================
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']
 
diff --git a/doc/source/getting_started.rst b/doc/source/getting_started.rst
index 7c6662f7f..8d4390b57 100644
--- a/doc/source/getting_started.rst
+++ b/doc/source/getting_started.rst
@@ -1,5 +1,7 @@
 .. currentmodule:: larray
 
+.. _start_getting_started:
+
 Getting Started
 ===============
 
diff --git a/doc/source/tutorial.rst b/doc/source/tutorial.rst
index e858fffa0..d643900a0 100644
--- a/doc/source/tutorial.rst
+++ b/doc/source/tutorial.rst
@@ -5,1399 +5,14 @@
 Tutorial
 ========
 
-This is an introduction to LArray. It is not intended to be a fully
-comprehensive manual. It is mainly dedicated to help new users to
-familiarize with it and others to remind essentials.
+This is an overview of the LArray library.
+It is not intended to be a fully comprehensive manual.
+It is mainly dedicated to help new users to familiarize with it and others to remind essentials.
 
-The first step to use the LArray library is to import it:
+If this is your first time with LArray, please read the :ref:`Getting Started <start_getting_started>`
+page first.
 
-.. ipython:: python
+.. toctree::
+   :maxdepth: 2
 
-    from larray import *
-
-.. ipython:: python
-   :suppress:
-
-    import warnings
-    warnings.filterwarnings('ignore')
-
-Axis creation
--------------
-
-An :py:class:`axis <Axis>` represents a dimension of an LArray object.
-It consists of a name and a list of labels. They are several ways to create an axis:
-
-.. ipython:: python
-
-    # create a wildcard axis 
-    age = Axis(3, 'age')
-    # labels given as a list 
-    time = Axis([2007, 2008, 2009], 'time')
-    # create an axis using one string
-    sex = Axis('sex=M,F')
-    # labels generated using a special syntax  
-    other = Axis('other=A01..C03')
-    
-    age, sex, time, other
-
-Array creation
---------------
-
-A :py:class:`LArray` object represents a multidimensional array with labeled axes.
-
-From scratch
-~~~~~~~~~~~~
-
-To create an array from scratch, you need to provide the data and a list
-of axes. Optionally, a title can be defined.
-
-.. ipython:: python
-
-    import numpy as np
-
-    # list of the axes
-    axes = [age, sex, time, other]
-    # data (the shape of data array must match axes lengths)
-    data = np.random.randint(100, size=[len(axis) for axis in axes])
-    # title (optional)
-    title = 'random data'
-    
-    arr = LArray(data, axes, title)
-    arr
-
-Array creation functions
-~~~~~~~~~~~~~~~~~~~~~~~~
-
-Arrays can also be generated in an easier way through creation functions:
-
--  :py:func:`ndtest` : creates a test array with increasing numbers as data
--  :py:func:`empty` : creates an array but leaves its allocated memory
-   unchanged (i.e., it contains "garbage". Be careful !)
--  :py:func:`zeros` : fills an array with 0
--  :py:func:`ones` : fills an array with 1
--  :py:func:`full` : fills an array with a given value
-
-Except for ndtest, a list of axes must be provided.
-Axes can be passed in different ways:
-
--  as Axis objects
--  as integers defining the lengths of auto-generated wildcard axes
--  as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)
--  as pairs (name, labels)
-
-Optionally, the type of data stored by the array can be specified using argument dtype.
-
-.. ipython:: python
-
-    # start defines the starting value of data
-    ndtest(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
-
-.. ipython:: python
-
-    # start defines the starting value of data
-    # label_start defines the starting index of labels
-    ndtest((3, 3), start=-1, label_start=2)
-
-.. ipython:: python
-
-    # empty generates uninitialised array with correct axes (much faster but use with care!).
-    # This not really random either, it just reuses a portion of memory that is available, with whatever content is there. 
-    # Use it only if performance matters and make sure all data will be overridden. 
-    empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])
-
-.. ipython:: python
-
-    # example with anonymous axes
-    zeros(['0..2', 'M,F', '2007..2009'])
-
-.. ipython:: python
-
-    # dtype=int forces to store int data instead of default float
-    ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)
-
-.. ipython:: python
-
-    full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)
-
-All the above functions exist in *{func}_like* variants which take
-axes from another array
-
-.. ipython:: python
-
-    ones_like(arr)
-
-Sequence
-~~~~~~~~
-
-The special :py:func:`sequence` function allows you to create an array from an
-axis by iteratively applying a function to a given initial value. You
-can choose between **inc** and **mult** functions or define your own.
-
-.. ipython:: python
-
-    # With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... 
-    sequence('sex=M,F', initial=1.0, inc=0.5)
-
-.. ipython:: python
-
-    # With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... 
-    sequence('age=0..2', initial=1.0, mult=2.0) 
-
-.. ipython:: python
-
-    # Using your own function
-    sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)
-
-You can also create N-dimensional array by passing (N-1)-dimensional
-array to initial, inc or mult argument
-
-.. ipython:: python
-
-    birth = LArray([1.05, 1.15], 'sex=M,F')
-    cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)
-    cumulate_newborns
-
-.. ipython:: python
-
-    initial = LArray([90, 100], 'sex=M,F') 
-    survival = LArray([0.96, 0.98], 'sex=M,F')
-    pop = sequence('age=80..83', initial=initial, mult=survival)
-    pop
-
-Load/Dump from files
---------------------
-
-Load from files
-~~~~~~~~~~~~~~~
-
-.. ipython:: python
-
-    example_dir = EXAMPLE_FILES_DIR
-
-Arrays can be loaded from CSV files (see documentation of :py:func:`read_csv`
-for more details)
-
-.. ipython:: python
-
-    # read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)
-    # read_eurostat is a shortcut to read EUROSTAT TSV files  
-    household = read_csv(example_dir + 'hh.csv')
-    household.info
-
-or Excel sheets (see documentation of :py:func:`read_excel` for more details)
-
-.. ipython:: python
-
-    # loads array from the first sheet if no sheetname is given
-    @verbatim
-    pop = read_excel(example_dir + 'demography.xlsx', 'pop')
-
-    @suppress
-    pop = read_csv(example_dir + 'pop.csv')
-
-    pop.info
-
-or HDF5 files (HDF5 is file format designed to store and organize large
-amounts of data. An HDF5 file can contain multiple arrays. See
-documentation of :py:func:`read_hdf` for more details)
-
-.. ipython:: python
-
-    mortality = read_hdf(example_dir + 'demography.h5','qx')
-    mortality.info
-
-Dump in files
-~~~~~~~~~~~~~
-
-Arrays can be dumped in CSV files (see documentation of :py:meth:`~LArray.to_csv` for
-more details)
-
-.. ipython:: python
-
-    household.to_csv('hh2.csv')
-
-or in Excel files (see documentation of :py:meth:`~LArray.to_excel` for more details)
-
-.. ipython:: python
-   :verbatim:
-
-    # if the file does not already exist, it is created with a single sheet, 
-    # otherwise a new sheet is added to it
-    household.to_excel('demography_2.xlsx', overwrite_file=True)
-    # it is usually better to specify the sheet explicitly (by name or position) though
-    household.to_excel('demography_2.xlsx', 'hh')
-
-or in HDF5 files (see documentation of :py:meth:`~LArray.to_hdf` for more details)
-
-.. ipython:: python
-
-    household.to_hdf('demography_2.h5', 'hh')
-
-more Excel IO
-~~~~~~~~~~~~~
-
-.. ipython:: python
-
-    # create a 3 x 2 x 3 array 
-    age, sex, time = Axis('age=0..2'), Axis('sex=M,F'), Axis('time=2007..2009')
-    arr = ndtest([age, sex, time])
-    arr
-
-Write Arrays
-^^^^^^^^^^^^
-
-Open an Excel file
-
-.. ipython:: python
-   :verbatim:
-
-    wb = open_excel('test.xlsx', overwrite_file=True)
-
-Put an array in an Excel Sheet, **excluding** headers (labels)
-
-.. ipython:: python
-   :verbatim:
-
-    # put arr at A1 in Sheet1, excluding headers (labels)
-    wb['Sheet1'] = arr
-    # same but starting at A9
-    # note that Sheet1 must exist
-    wb['Sheet1']['A9'] = arr
-
-Put an array in an Excel Sheet, **including** headers (labels)
-
-.. ipython:: python
-   :verbatim:
-
-    # dump arr at A1 in Sheet2, including headers (labels)
-    wb['Sheet2'] = arr.dump()
-    # same but starting at A10
-    wb['Sheet2']['A10'] = arr.dump()
-
-Save file to disk
-
-.. ipython:: python
-   :verbatim:
-
-    wb.save()
-
-Close file
-
-.. ipython:: python
-   :verbatim:
-
-    wb.close()
-
-Read Arrays
-^^^^^^^^^^^
-
-Open an Excel file
-
-.. ipython:: python
-   :verbatim:
-
-    wb = open_excel('test.xlsx')
-
-Load an array from a sheet (assuming the presence of (correctly formatted)
-headers and only one array in sheet)
-
-.. ipython:: python
-
-    # save one array in Sheet3 (including headers)
-    @verbatim
-    wb['Sheet3'] = arr.dump()
-    
-    # load array from the data starting at A1 in Sheet3
-    @verbatim
-    arr = wb['Sheet3'].load()
-
-    arr
-
-Load an array with its axes information from a range
-
-.. ipython:: python
-
-    # if you need to use the same sheet several times,
-    # you can create a sheet variable
-    @verbatim
-    sheet2 = wb['Sheet2']
-    
-    # load array contained in the 4 x 4 table defined by cells A10 and D14
-    @verbatim
-    arr2 = sheet2['A10:D14'].load()
-
-    @suppress
-    arr2 = arr[[0, 1], ['M', 'F'], [2007, 2008]]
-
-    arr2
-
-Read Ranges (experimental)
-^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Load an array (raw data) with no axis information from a range
-
-.. ipython:: python
-
-    @verbatim
-    arr3 = wb['Sheet1']['A1:B4']
-
-    @suppress
-    arr3 = LArray([[3*i, 3*i+1] for i in range(4)])
-
-    arr3
-
-in fact, this is not really an LArray ...
-
-.. ipython::
-
-    @verbatim
-    In [1]: type(arr3)
-    larray.io.excel.Range
-
-... but it can be used as such
-
-.. ipython:: python
-
-    arr3.sum(axis=0)
-
-... and it can be used for other stuff, like setting the formula instead
-of the value:
-
-.. ipython:: python
-   :verbatim:
-
-    arr3.formula = '=D10+1'
-
-In the future, we should also be able to set font name, size, style,
-etc.
-
-.. ipython:: python
-   :verbatim:
-
-    wb.close()
-
-Inspecting
-----------
-
-.. ipython:: python
-
-    # load population array
-    pop = load_example_data('demography').pop
-
-Get array summary : dimensions + description of axes
-
-.. ipython:: python
-
-    pop.info
-
-Get axes
-
-.. ipython:: python
-
-    time, geo, age, sex, nat = pop.axes
-
-Get array dimensions
-
-.. ipython:: python
-
-    pop.shape
-
-Get number of elements
-
-.. ipython:: python
-
-    pop.size
-
-Get size in memory
-
-.. ipython:: python
-
-    pop.nbytes
-
-Start viewer (graphical user interface) in read-only mode.
-This will open a new window and block execution of the rest
-of code until the windows is closed! Required PyQt installed.
-
-.. ipython::
-
-    @verbatim
-    In [1]: view(pop)
-
-Load array in an Excel sheet
-
-.. ipython::
-
-    @verbatim
-    In [1]: pop.to_excel()
-
-Selection (Subsets)
--------------------
-
-LArray allows to select a subset of an array either by labels or positions
-
-Selection by Labels
-~~~~~~~~~~~~~~~~~~~
-
-To take a subset of an array using labels, use brackets [ ].
-Let's start by selecting a single element:
-
-.. ipython:: python
-
-    # here we select the value associated with Belgian women of age 50 from Brussels region for the year 2015
-    pop[2015, 'BruCap', 50, 'F', 'BE']
-
-Continue with selecting a subset using slices and lists of labels
-
-.. ipython:: python
-
-    # here we select the subset associated with Belgian women of age 50, 51 and 52 
-    # from Brussels region for the years 2010 to 2016
-    pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']
-
-.. ipython:: python
-
-    # slices bounds are optional: 
-    # if not given start is assumed to be the first label and stop is the last one.
-    # Here we select all years starting from 2010
-    pop[2010:, 'BruCap', 50:52, 'F', 'BE']
-
-.. ipython:: python
-
-    # Slices can also have a step (defaults to 1), to take every Nth labels
-    # Here we select all even years starting from 2010
-    pop[2010::2, 'BruCap', 50:52, 'F', 'BE']
-
-.. ipython:: python
-
-    # one can also use list of labels to take non-contiguous labels.
-    # Here we select years 2008, 2010, 2013 and 2015
-    pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']
-
-The order of indexing does not matter either, so you usually do not
-care/have to remember about axes positions during computation.
-It only matters for output.
-
-.. ipython:: python
-
-    # order of index doesn't matter
-    pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]
-
-.. warning::
-   Selecting by labels as above works well as long as there is no ambiguity.
-   When two or more axes have common labels, it may lead to a crash.
-   The solution is then to precise to which axis belong the labels.
-
-.. ipython:: python
-
-    # let us now create an array with the same labels on several axes
-    age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')
-
-    arr_ws = ndtest([age, weight, size])
-
-.. ipython::
-
-    # let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.
-    # In this case the subset is ambiguous and this results in an error:
-    @verbatim
-    In [1]: arr_ws[10:18, :80, 160:165]
-    <class 'ValueError'> slice(10, 18, None) is ambiguous (valid in age, weight, size)
-
-.. ipython:: python
-
-    # the solution is simple. You need to precise the axes on which you make a selection
-    arr_ws[age[10:18], weight[:80], size[160:165]]
-
-Special variable x
-~~~~~~~~~~~~~~~~~~
-
-When selecting, assiging or using aggregate functions, an axis can be
-refered via the special variable ``x``:
-
--  pop[x.age[:20]]
--  pop.sum(x.age)
-
-This gives you acces to axes of the array you are manipulating. The main
-drawback of using **x** is that you lose the autocompletion available from
-many editors. It only works with non-wildcard axes.
-
-.. ipython:: python
-
-    # the previous example could have been also written as  
-    arr_ws[x.age[10:18], x.weight[:80], x.size[160:165]]
-
-Selection by Positions
-~~~~~~~~~~~~~~~~~~~~~~
-
-Sometimes it is more practical to use positions along the axis, instead
-of labels. You need to add the character ``i`` before the brackets:
-``.i[positions]``. As for selection with labels, you can use single
-position or slice or list of positions. Positions can be also negative
-(-1 represent the last element of an axis).
-
-.. note::
-   Remember that positions (indices) are always **0-based** in Python.
-   So the first element is at position 0, the second is at position 1, etc.
-
-.. ipython:: python
-
-    # here we select the subset associated with Belgian women of age 50, 51 and 52 
-    # from Brussels region for the first 3 years
-    pop[x.time.i[:3], 'BruCap', 50:52, 'F', 'BE']
-
-.. ipython:: python
-
-    # same but for the last 3 years
-    pop[x.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']
-
-.. ipython:: python
-
-    # using list of positions
-    pop[x.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']
-
-.. warning::
-   The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.
-
-.. ipython:: python
-
-    # with labels (3 is included)
-    pop[2015, 'BruCap', x.age[:3], 'F', 'BE']
-
-.. ipython:: python
-
-    # with position (3 is out)
-    pop[2015, 'BruCap', x.age.i[:3], 'F', 'BE']
-
-You can use *.i[]* selection directly on array instead of axes. In this
-context, if you want to select a subset of the first and third axes for
-example, you must use a full slice ``:`` for the second one.
-
-.. ipython:: python
-
-    # here we select the last year and first 3 ages
-    # equivalent to: pop.i[-1, :, :3, :, :]
-    pop.i[-1, :, :3]
-
-Assigning subsets
-~~~~~~~~~~~~~~~~~
-
-Assigning value
-^^^^^^^^^^^^^^^
-
-Assign a value to a subset
-
-.. ipython:: python
-
-    # let's take a smaller array
-    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
-    pop2 = pop
-    pop2
-
-.. ipython:: python
-
-    # set all data corresponding to age >= 102 to 0
-    pop2[102:] = 0
-    pop2
-
-One very important gotcha though...
-
-.. warning::
-   Modifying a slice of an array in-place like we did above should be done with
-   care otherwise you could have **unexpected effects**.
-   The reason is that taking a **slice** subset of an array does not return a copy
-   of that array, but rather a view on that array.
-   To avoid such behavior, use ``.copy()`` method.
-
-Remember:
-
--  taking a slice subset of an array is extremely fast (no data is
-   copied)
--  if one modifies that subset in-place, one also **modifies the
-   original array**
--  **.copy()** returns a copy of the subset (takes speed and memory) but
-   allows you to change the subset without modifying the original array
-   in the same time
-
-.. ipython:: python
-
-    # indeed, data from the original array have also changed
-    pop
-
-.. ipython:: python
-
-    # the right way
-    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
-    
-    pop2 = pop.copy()
-    pop2[102:] = 0
-    pop2
-
-.. ipython:: python
-
-    # now, data from the original array have not changed this time
-    pop
-
-Assigning Arrays & Broadcasting
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-Instead of a value, we can also assign an array to a subset. In that
-case, that array can have less axes than the target but those which are
-present must be compatible with the subset being targeted.
-
-.. ipython:: python
-
-    sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')
-    new_value = LArray([[1, -1], [2, -2]],[sex, nat])
-    new_value
-
-.. ipython:: python
-
-    # this assigns 1, -1 to Belgian, Foreigner men 
-    # and 2, -2 to Belgian, Foreigner women for all 
-    # people older than 100
-    pop[102:] = new_value
-    pop
-
-.. warning::
-   The array being assigned must have compatible axes with the target subset.
-
-.. ipython:: python
-
-    # assume we define the following array with shape 3 x 2 x 2
-    new_value = zeros(['age=0..2', sex, nat]) 
-    new_value
-
-.. ipython::
-
-    # now let's try to assign the previous array in a subset with shape 7 x 2 x 2
-    @verbatim
-    In [1]: pop[102:] = new_value
-    <class 'ValueError'> could not broadcast input array from shape (3,2,2) into shape (4,2,2)
-
-.. ipython:: python
-
-    # but this works
-    pop[102:104] = new_value
-    pop
-
-Boolean filtering
-~~~~~~~~~~~~~~~~~
-
-Boolean filtering can be use to extract subsets.
-
-.. ipython:: python
-
-    #Let's focus on population living in Brussels during the year 2016
-    pop = load_example_data('demography').pop[2016, 'BruCap']
-    
-    # here we select all males and females with age less than 5 and 10 respectively
-    subset = pop[((x.sex == 'H') & (x.age <= 5)) | ((x.sex == 'F') & (x.age <= 10))]
-    subset
-
-.. note::
-   Be aware that after boolean filtering, several axes may have merged.
-
-.. ipython:: python
-
-    # 'age' and 'sex' axes have been merged together
-    subset.info
-
-This may be not what you because previous selections on merged axes are
-no longer valid
-
-.. ipython::
-
-    # now let's try to calculate the proportion of females with age less than 10
-    @verbatim
-    In [1]: subset['F'].sum() / pop['F'].sum()
-    <class 'ValueError'> F is not a valid label for any axis
-
-Therefore, it is sometimes more useful to not select, but rather set to 0
-(or another value) non matching elements
-
-.. ipython:: python
-
-    subset = pop.copy()
-    subset[((x.sex == 'F') & (x.age > 10))] = 0
-    subset['F', :20]
-
-.. ipython:: python
-
-    # now we can calculate the proportion of females with age less than 10
-    subset['F'].sum() / pop['F'].sum()
-
-Boolean filtering can also mix axes and arrays. Example above could also
-have been written as
-
-.. ipython:: python
-
-    age_limit = sequence('sex=M,F', initial=5, inc=5)
-    age_limit
-
-.. ipython:: python
-
-    age = pop.axes['age']
-    (age <= age_limit)[:20]
-
-.. ipython:: python
-
-    subset = pop.copy()
-    subset[x.age > age_limit] = 0
-    subset['F'].sum() / pop['F'].sum()
-
-Finally, you can choose to filter on data instead of axes
-
-.. ipython:: python
-
-    # let's focus on females older than 90
-    subset = pop['F', 90:110].copy()
-    subset
-
-.. ipython:: python
-
-    # here we set to 0 all data < 10
-    subset[subset < 10] = 0
-    subset
-
-Manipulates axes from arrays
-----------------------------
-
-.. ipython:: python
-
-    # let's start with
-    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
-    pop
-
-Relabeling
-~~~~~~~~~~
-
-Replace all labels of one axis
-
-.. ipython:: python
-
-    # returns a copy by default
-    pop_new_labels = pop.set_labels(x.sex, ['Men', 'Women'])
-    pop_new_labels
-
-.. ipython:: python
-
-    # inplace flag avoids to create a copy
-    pop.set_labels(x.sex, ['M', 'F'], inplace=True)
-
-Renaming axes
-~~~~~~~~~~~~~
-
-Rename one axis
-
-.. ipython:: python
-
-    pop.info
-
-.. ipython:: python
-
-    # 'rename' returns a copy of the array
-    pop2 = pop.rename(x.sex, 'gender')
-    pop2
-
-Rename several axes at once
-
-.. ipython:: python
-
-    # No x. here because sex and nat are keywords and not actual axes
-    pop2 = pop.rename(sex='gender', nat='nationality')
-    pop2
-
-Reordering axes
-~~~~~~~~~~~~~~~
-
-Axes can be reordered using :py:meth:`~LArray.transpose` method. By default, *transpose*
-reverse axes, otherwise it permutes the axes according to the list given as argument.
-Axes not mentioned come after those which are mentioned(and keep their relative order).
-Finally, *transpose* returns a copy of the array.
-
-.. ipython:: python
-
-    # starting order : age, sex, nat
-    pop
-
-.. ipython:: python
-
-    # no argument --> reverse axes
-    pop.transpose()
-    
-    # .T is a shortcut for .transpose()
-    pop.T
-
-.. ipython:: python
-
-    # reorder according to list
-    pop.transpose(x.age, x.nat, x.sex)
-
-.. ipython:: python
-
-    # axes not mentioned come after those which are mentioned (and keep their relative order)
-    pop.transpose(x.sex)
-
-Aggregates
-----------
-
-Calculate the sum along an axis
-
-.. ipython:: python
-
-    pop = load_example_data('demography').pop[2016, 'BruCap']
-    pop.sum(x.age)
-
-or along all axes except one by appending *_by* to the aggregation function
-
-.. ipython:: python
-
-    pop[90:95].sum_by(x.age)
-    # is equivalent to 
-    pop[90:95].sum(x.sex, x.nat)
-
-There are many other :ref:`aggregate functions built-in <la_agg>`:
-
--  mean, min, max, median, percentile, var (variance), std (standard
-   deviation)
--  labelofmin, labelofmax (label indirect minimum/maxium -- labels where the
-   value is minimum/maximum)
--  indexofmin, indexofmax (positional indirect minimum/maxium -- position
-   along axis where the value is minimum/maximum)
--  cumsum, cumprod (cumulative sum, cumulative product)
-
-Groups
-------
-
-One can define groups of labels (or indices)
-
-.. ipython:: python
-
-    age = pop.axes['age']
-    
-    # using indices (remember: 20 will not be included)
-    teens = age.i[10:20]
-    # using labels
-    pensioners = age[67:]
-    strange = age[[30, 55, 52, 25, 99]]
-    
-    strange
-
-or rename them
-
-.. ipython:: python
-
-    # method 'named' returns a new group with the given name
-    teens = teens.named('children')
-    
-    # operator >> is a shortcut for 'named'
-    pensioners = pensioners >> 'pensioners'
-    
-    pensioners
-
-Then, use them in selections
-
-.. ipython:: python
-
-    pop[strange]
-
-or aggregations
-
-.. ipython:: python
-
-    pop.sum(pensioners)
-
-.. ipython:: python
-
-    # several groups (here you see the interest of groups renaming)
-    pop.sum((teens, pensioners, strange))
-
-.. ipython:: python
-
-    # combined with other axes
-    pop.sum((teens, pensioners, strange), x.nat)
-
-Arithmetic operations
----------------------
-
-.. ipython:: python
-
-    # go back to our 6 x 2 x 2 example array
-    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
-    pop
-
-Usual Operations
-~~~~~~~~~~~~~~~~
-
-One can do all usual arithmetic operations on an array, it will apply
-the operation to all elements individually
-
-.. ipython:: python
-
-    # addition
-    pop + 200
-
-.. ipython:: python
-
-    # multiplication
-    pop * 2
-
-.. ipython:: python
-
-    # ** means raising to the power (squaring in this case)
-    pop ** 2
-
-.. ipython:: python
-
-    # % means modulo (aka remainder of division)
-    pop % 10
-
-More interestingly, it also works between two arrays
-
-.. ipython:: python
-
-    # load mortality equivalent array
-    mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] 
-    
-    # compute number of deaths
-    death = pop * mortality
-    death
-
-.. note::
-   Be careful when mixing different data types.
-   See **type promotion** in programming.
-   You can use the method :py:meth:`~LArray.astype` to change the data type of an array.
-
-.. ipython:: python
-
-    # to be sure to get number of deaths as integers
-    # one can use .astype() method
-    death = (pop * mortality).astype(int)
-    death
-
-But operations between two arrays only works when they have compatible axes (i.e. same labels)
-
-.. ipython::
-
-    @verbatim
-    In [1]: pop[90:92] * mortality[93:95]
-    <class 'ValueError'> incompatible axes:
-    Axis([93, 94, 95], 'age')
-    vs
-    Axis([90, 91, 92], 'age')
-
-You can override that but at your own risk. In that case only the
-position on the axis is used and not the labels.
-
-.. ipython:: python
-
-    pop[90:92] * mortality[93:95].drop_labels(x.age)
-
-Boolean Operations
-~~~~~~~~~~~~~~~~~~
-
-.. ipython:: python
-
-    pop2 = pop.copy()
-    pop2['F'] = -pop2['F']
-    pop2
-
-.. ipython:: python
-
-    # testing for equality is done using == (a single = assigns the value)
-    pop == pop2
-
-.. ipython:: python
-
-    # testing for inequality
-    pop != pop2
-
-.. ipython:: python
-
-    # what was our original array like again?
-    pop
-
-.. ipython:: python
-
-    # & means (boolean array) and
-    (pop >= 500) & (pop <= 1000)
-
-.. ipython:: python
-
-    # | means (boolean array) or
-    (pop < 500) | (pop > 1000)
-
-Arithmetic operations with missing axes
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-.. ipython:: python
-
-    pop.sum(x.age)
-
-.. ipython:: python
-
-    # arr has 3 dimensions
-    pop.info
-
-.. ipython:: python
-
-    # and arr.sum(age) has two
-    pop.sum(x.age).info
-
-.. ipython:: python
-
-    # you can do operation with missing axes so this works
-    pop / pop.sum(x.age)
-
-Axis order does not matter much (except for output)
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-You can do operations between arrays having different axes order.
-The axis order of the result is the same as the left array
-
-.. ipython:: python
-
-    pop
-
-.. ipython:: python
-
-    # let us change the order of axes
-    pop_transposed = pop.T
-    pop_transposed
-
-.. ipython:: python
-
-    # mind blowing
-    pop_transposed + pop
-
-Combining arrays
-----------------
-
-Append/Prepend
-~~~~~~~~~~~~~~
-
-Append/prepend one element to an axis of an array
-
-.. ipython:: python
-
-    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] 
-    
-    # imagine that you have now acces to the number of non-EU foreigners
-    data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]
-    pop_non_eu = LArray(data, pop['FO'].axes)
-    
-    # you can do something like this
-    pop = pop.append(nat, pop_non_eu, 'NEU')
-    pop
-
-.. ipython:: python
-
-    # you can also add something at the start of an axis
-    pop = pop.prepend(x.sex, pop.sum(x.sex), 'B')
-    pop
-
-The value being appended/prepended can have missing (or even extra) axes
-as long as common axes are compatible
-
-.. ipython:: python
-
-    aliens = zeros(pop.axes['sex'])
-    aliens
-
-.. ipython:: python
-
-    pop = pop.append(x.nat, aliens, 'AL')
-    pop
-
-Extend
-~~~~~~
-
-Extend an array along an axis with another array *with* that axis (but other labels)
-
-.. ipython:: python
-
-    _pop = load_example_data('demography').pop
-    pop = _pop[2016, 'BruCap', 90:95] 
-    pop_next = _pop[2016, 'BruCap', 96:100]
-    
-    # concatenate along age axis
-    pop.extend(x.age, pop_next)
-
-Stack
-~~~~~
-
-Stack several arrays together to create an entirely new dimension
-
-.. ipython:: python
-
-    # imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)
-    pop_be, pop_fo = pop['BE'], pop['FO']
-    
-    # first way to stack them
-    nat = Axis('nat=BE,FO,NEU')
-    pop = stack([pop_be, pop_fo, pop_non_eu], nat)
-    
-    # second way
-    pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')
-    
-    pop
-
-Sorting
--------
-
-Sort an axis (alphabetically if labels are strings)
-
-.. ipython:: python
-
-    pop_sorted = pop.sort_axes(x.nat)
-    pop_sorted
-
-Give labels which would sort the axis
-
-.. ipython:: python
-
-    pop_sorted.labelsofsorted(x.sex)
-
-Sort according to values
-
-.. ipython:: python
-
-    pop_sorted.sort_values((90, 'F'))
-
-Plotting
---------
-
-Create a plot (last axis define the different curves to draw)
-
-.. ipython:: python
-
-    @savefig plot_tutorial_0.png height=10in
-    pop.plot()
-
-.. ipython:: python
-
-    # plot total of both sex
-    @savefig plot_tutorial_1.png height=10in
-    pop.sum(x.sex).plot()
-
-Interesting methods
--------------------
-
-.. ipython:: python
-
-    # starting array
-    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
-    pop
-
-with total
-~~~~~~~~~~
-
-Add totals to one axis
-
-.. ipython:: python
-
-    pop.with_total(x.sex, label='B')
-
-Add totals to all axes at once
-
-.. ipython:: python
-
-    # by default label is 'total'
-    pop.with_total()
-
-where
-~~~~~
-
-where can be used to apply some computation depending on a condition
-
-.. ipython:: python
-
-    # where(condition, value if true, value if false)
-    where(pop < 10, 0, -pop)
-
-clip
-~~~~
-
-Set all data between a certain range
-
-.. ipython:: python
-
-    # clip(min, max)
-    # values below 10 are set to 10 and values above 50 are set to 50
-    pop.clip(10, 50)
-
-divnot0
-~~~~~~~
-
-Replace division by 0 to 0
-
-.. ipython:: python
-
-    pop['BE'] / pop['FO']
-
-.. ipython:: python
-
-    # divnot0 replaces results of division by 0 by 0. 
-    # Using it should be done with care though
-    # because it can hide a real error in your data.
-    pop['BE'].divnot0(pop['FO'])
-
-diff
-~~~~
-
-:py:meth:`~LArray.diff` calculates the n-th order discrete difference along given axis.
-The first order difference is given by out[n+1] = in[n + 1] - in[n]
-along the given axis.
-
-.. ipython:: python
-
-    pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]
-    pop
-
-.. ipython:: python
-
-    # calculates 'pop[year+1] - pop[year]'
-    pop.diff(x.time)
-
-.. ipython:: python
-
-    # calculates 'pop[year+2] - pop[year]'
-    pop.diff(x.time, d=2)
-
-ratio
-~~~~~
-
-.. ipython:: python
-
-    pop.ratio(x.nat)
-    
-    # which is equivalent to
-    pop / pop.sum(x.nat)
-
-percents
-~~~~~~~~
-
-.. ipython:: python
-
-    # or, if you want the previous ratios in percents
-    pop.percent(x.nat)
-
-growth\_rate
-~~~~~~~~~~~~
-
-using the same principle than diff...
-
-.. ipython:: python
-
-    pop.growth_rate(x.time)
-
-shift
-~~~~~
-
-The :py:meth:`~LArray.shift` method drops first label of an axis and shifts all
-subsequent labels
-
-.. ipython:: python
-
-    pop.shift(x.time)
-
-.. ipython:: python
-
-    # when shift is applied on an (increasing) time axis, it effectively brings "past" data into the future
-    pop.shift(x.time).drop_labels(x.time) == pop[2005:2014].drop_labels(x.time)
-
-.. ipython:: python
-
-    # this is mostly useful when you want to do operations between the past and now
-    # as an example, here is an alternative implementation of the .diff method seen above:
-    pop.i[1:] - pop.shift(x.time)
-
-Misc other interesting functions
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-There are a lot more :ref:`functions <la_misc>` available:
-
-- round, floor, ceil, trunc,
-- exp, log, log10,
-- sqrt, absolute, nan_to_num, isnan, isinf, inverse,
-- sin, cos, tan, arcsin, arccos, arctan
-- and many many more...
-
-Sessions
---------
-
-You can group several arrays in a :py:class:`Session`
-
-.. ipython:: python
-
-    # load several arrays
-    arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))
-    
-    # create and populate a 'session'
-    s1 = Session()
-    s1.arr1 = arr1
-    s1.arr2 = arr2
-    s1.arr3 = arr3
-    
-    s1
-
-The advantage of sessions is that you can manipulate all of the arrays in them in one shot
-
-.. ipython:: python
-
-    # this saves all the arrays in a single excel file (each array on a different sheet)
-    @verbatim
-    s1.save('test.xlsx')
-
-.. ipython:: python
-
-    # this saves all the arrays in a single HDF5 file (which is a very fast format)
-    s1.save('test.h5')
-
-.. ipython:: python
-
-    # this creates a session out of all arrays in the .h5 file
-    s2 = Session('test.h5')
-    s2
-
-.. ipython:: python
-
-    # this creates a session out of all arrays in the .xlsx file
-    @verbatim
-    s3 = Session('test.xlsx')
-
-    @suppress
-    s3 = Session('test.h5')
-
-    s3
-
-You can compare two sessions
-
-.. ipython:: python
-
-    s1 == s2
-
-.. ipython:: python
-
-    # let us introduce a difference (a variant, or a mistake perhaps)
-    s2.arr1['a0', 'b1':] = 0
-
-.. ipython:: python
-
-    s1 == s2
-
-.. ipython:: python
-
-    s1_diff = s1[s1 != s2]
-    s1_diff
-
-.. ipython:: python
-
-    s2_diff = s2[s1 != s2]
-    s2_diff
-
-This a bit experimental but can be useful nonetheless (Open a graphical interface)
-
-.. ipython::
-
-    @verbatim
-    In [1]: compare(s1_diff.arr1, s2_diff.arr1)
+   ./tutorial/tutorial.ipynb
diff --git a/doc/source/tutorial/tutorial.ipyml b/doc/source/tutorial/tutorial.ipyml
new file mode 100644
index 000000000..d90765974
--- /dev/null
+++ b/doc/source/tutorial/tutorial.ipyml
@@ -0,0 +1,1504 @@
+cells:
+
+- code: |
+    # @tutorial writers: You can remove cells from the HTML/LaTeX output by adding this to the cell metadata:
+    # "nbsphinx": "hidden"
+    
+    # ignore warnings
+    import warnings
+    warnings.filterwarnings('ignore')
+    
+    # simplify exception output
+    %xmode Plain
+
+  metadata:
+    nbsphinx: hidden
+
+- markdown: |
+    To import the LArray library, run:
+
+
+- code: |
+    from larray import *
+
+
+- markdown: |
+    ## Axis creation
+    
+    An [Axis](api.rst#Axis) represents a dimension of an LArray object.
+    It consists of a name and a list of labels. They are several ways to create an axis:
+
+
+- code: |
+    # create a wildcard axis 
+    age = Axis(3, 'age')
+    # labels given as a list 
+    time = Axis([2007, 2008, 2009], 'time')
+    # create an axis using one string
+    sex = Axis('sex=M,F')
+    # labels generated using a special syntax  
+    other = Axis('other=A01..C03')
+    
+    age, sex, time, other
+
+
+- markdown: |
+    ## Array creation
+    
+    A [LArray](api.rst#LArray) object represents a multidimensional array with labeled axes.
+    
+    ### From scratch
+    
+    To create an array from scratch, you need to provide the data and a list
+    of axes. Optionally, a title can be defined.
+
+
+- code: |
+    import numpy as np
+    
+    # list of the axes
+    axes = [age, sex, time, other]
+    # data (the shape of data array must match axes lengths)
+    data = np.random.randint(100, size=[len(axis) for axis in axes])
+    # title (optional)
+    title = 'random data'
+    
+    arr = LArray(data, axes, title)
+    arr
+
+
+- markdown: |
+    ### Array creation functions
+    
+    Arrays can also be generated in an easier way through [creation functions](api.rst#array-creation-functions):
+    
+    -  `ndtest` : creates a test array with increasing numbers as data
+    -  `empty` : creates an array but leaves its allocated memory
+       unchanged (i.e., it contains "garbage". Be careful !)
+    -  `zeros`: fills an array with 0
+    -  `ones` : fills an array with 1
+    -  `full` : fills an array with a given value
+    -  `sequence` : creates an array from an axis by iteratively applying a function to a given initial value.
+    
+    Except for ndtest, a list of axes must be provided.
+    Axes can be passed in different ways:
+    
+    -  as Axis objects
+    -  as integers defining the lengths of auto-generated wildcard axes
+    -  as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)
+    -  as pairs (name, labels)
+    
+    Optionally, the type of data stored by the array can be specified using argument dtype.
+
+
+- code: |
+    # start defines the starting value of data
+    ndtest(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
+
+
+- code: |
+    # start defines the starting value of data
+    # label_start defines the starting index of labels
+    ndtest((3, 3), start=-1, label_start=2)
+
+
+- code: |
+    # empty generates uninitialised array with correct axes 
+    # (much faster but use with care!).
+    # This not really random either, it just reuses a portion 
+    # of memory that is available, with whatever content is there. 
+    # Use it only if performance matters and make sure all data 
+    # will be overridden. 
+    empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])
+
+
+- code: |
+    # example with anonymous axes
+    zeros(['0..2', 'M,F', '2007..2009'])
+
+
+- code: |
+    # dtype=int forces to store int data instead of default float
+    ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)
+
+
+- code: |
+    full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)
+
+
+- markdown: |
+    All the above functions exist in *(func)_like* variants which take axes from another array
+
+
+- code: |
+    ones_like(arr)
+
+
+- markdown: |
+    ### Sequence
+
+
+- code: |
+    # With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... 
+    sequence('sex=M,F', initial=1.0, inc=0.5)
+
+
+- code: |
+    # With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... 
+    sequence('age=0..2', initial=1.0, mult=2.0) 
+
+
+- code: |
+    # Using your own function
+    sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)
+
+
+- markdown: |
+    You can also create N-dimensional array by passing (N-1)-dimensional
+    array to initial, inc or mult argument
+
+
+- code: |
+    birth = LArray([1.05, 1.15], 'sex=M,F')
+    cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)
+    cumulate_newborns
+
+
+- code: |
+    initial = LArray([90, 100], 'sex=M,F') 
+    survival = LArray([0.96, 0.98], 'sex=M,F')
+    pop = sequence('age=80..83', initial=initial, mult=survival)
+    pop
+
+
+- markdown: |
+    ## Load/Dump from files
+
+
+- code: |
+    demography = load_example_data('demography')
+    household = demography.hh
+    pop = demography.pop
+    mortality = demography.qx
+
+  metadata:
+    nbsphinx: hidden
+
+- markdown: |
+    ### Load from files
+    
+    Arrays can be loaded from CSV files
+    
+    ```python
+    # read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)
+    # read_eurostat is a shortcut to read EUROSTAT TSV files  
+    household = read_csv('hh.csv')
+    ```
+
+
+- markdown: |
+    or Excel sheets
+    
+    ```python
+    # loads array from the first sheet if no sheetname is given
+    pop = read_excel('demography.xlsx', 'pop')
+    ```
+
+
+- markdown: |
+    or HDF5 files (HDF5 is file format designed to store and organize large amounts of data. 
+    An HDF5 file can contain multiple arrays. 
+    
+    ```python
+    mortality = read_hdf('demography.h5','qx')
+    ```
+
+
+- markdown: |
+    See documentation of [reading functions](api.rst#read) for more details
+
+
+- markdown: |
+    ### Dump in files
+    
+    Arrays can be dumped in CSV files  
+    
+    ```python
+    household.to_csv('hh2.csv')
+    ```
+
+
+- markdown: |
+    or in Excel files
+    
+    ```python
+    # if the file does not already exist, it is created with a single sheet, 
+    # otherwise a new sheet is added to it
+    household.to_excel('demography_2.xlsx', overwrite_file=True)
+    # it is usually better to specify the sheet explicitly (by name or position) though
+    household.to_excel('demography_2.xlsx', 'hh')
+    ```
+
+
+- markdown: |
+    or in HDF5 files
+    
+    ```python
+    household.to_hdf('demography_2.h5', 'hh')
+    ```
+
+
+- markdown: |
+    See documentation of [writing methods](api.rst#write) for more details
+
+
+- markdown: |
+    ### more Excel IO
+
+
+- markdown: |
+    #### Write Arrays
+    
+    Open an Excel file
+    
+    ```python
+    wb = open_excel('test.xlsx', overwrite_file=True)
+    ```
+
+
+- markdown: |
+    Put an array in an Excel Sheet, **excluding** headers (labels)
+    
+    ```python
+    # put arr at A1 in Sheet1, excluding headers (labels)
+    wb['Sheet1'] = arr
+    # same but starting at A9
+    # note that Sheet1 must exist
+    wb['Sheet1']['A9'] = arr
+    ```
+
+
+- markdown: |
+    Put an array in an Excel Sheet, **including** headers (labels)
+    
+    ```python
+    # dump arr at A1 in Sheet2, including headers (labels)
+    wb['Sheet2'] = arr.dump()
+    # same but starting at A10
+    wb['Sheet2']['A10'] = arr.dump()
+    ```
+
+
+- markdown: |
+    Save file to disk   
+    
+    ```python
+    wb.save()
+    ```
+
+
+- markdown: |
+    Close file    
+    
+    ```python
+    wb.close()
+    ```
+
+
+- markdown: |
+    #### Read Arrays
+    
+    Open an Excel file   
+    
+    ```python
+    wb = open_excel('test.xlsx')
+    ```
+
+
+- markdown: |
+    Load an array from a sheet (assuming the presence of (correctly formatted) headers and only one array in sheet)
+    
+    ```python
+    # save one array in Sheet3 (including headers)
+    wb['Sheet3'] = arr.dump()
+    
+    # load array from the data starting at A1 in Sheet3
+    arr = wb['Sheet3'].load()
+    ```
+
+
+- markdown: |
+    Load an array with its axes information from a range
+    
+    ```python
+    # if you need to use the same sheet several times,
+    # you can create a sheet variable
+    sheet2 = wb['Sheet2']
+    
+    # load array contained in the 4 x 4 table defined by cells A10 and D14
+    arr2 = sheet2['A10:D14'].load()
+    ```
+
+
+- markdown: |
+    #### Read Ranges (experimental)
+    
+    Load an array (raw data) with no axis information from a range
+    
+    ```python
+    arr3 = wb['Sheet1']['A1:B4']
+    ```
+
+
+- markdown: |
+    in fact, this is not really an LArray ...
+    
+    ```python
+    type(arr3)
+    
+    larray.io.excel.Range
+    ```
+
+
+- markdown: |
+    ... but it can be used as such  
+    
+    ```python
+    arr3.sum(axis=0)
+    ```
+
+
+- markdown: |
+    ... and it can be used for other stuff, like setting the formula instead of the value:   
+    
+    ```python
+    arr3.formula = '=D10+1'
+    ```
+
+
+- markdown: |
+    In the future, we should also be able to set font name, size, style, etc.   
+
+
+- markdown: |
+    ## Inspecting
+
+
+- code: |
+    # load population array
+    pop = load_example_data('demography').pop
+
+
+- markdown: |
+    Get array summary : dimensions + description of axes
+
+
+- code: |
+    pop.info
+
+
+- markdown: |
+    Get axes  
+
+
+- code: |
+    time, geo, age, sex, nat = pop.axes
+
+
+- markdown: |
+    Get array dimensions 
+
+
+- code: |
+    pop.shape
+
+
+- markdown: |
+    Get number of elements  
+
+
+- code: |
+    pop.size
+
+
+- markdown: |
+    Get size in memory
+
+
+- code: |
+    pop.memory_used
+
+
+- markdown: |
+    Start viewer (graphical user interface) in read-only mode.
+    This will open a new window and block execution of the rest of code until the windows is closed! Required PyQt installed.
+    
+    ```python
+    view(pop)
+    ```
+
+
+- markdown: |
+    Load array in an Excel sheet
+    
+    ```python
+    pop.to_excel()
+    ```
+
+
+- markdown: |
+    ## Selection (Subsets)
+    
+    LArray allows to select a subset of an array either by labels or positions
+
+
+- markdown: |
+    ### Selection by Labels
+    
+    To take a subset of an array using labels, use brackets [ ].
+    
+    Let's start by selecting a single element:
+
+
+- code: |
+    # here we select the value associated with Belgian women 
+    # of age 50 from Brussels region for the year 2015
+    pop[2015, 'BruCap', 50, 'F', 'BE']
+
+
+- markdown: |
+    Continue with selecting a subset using slices and lists of labels
+
+
+- code: |
+    # here we select the subset associated with Belgian women of age 50, 51 and 52 
+    # from Brussels region for the years 2010 to 2016
+    pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']
+
+
+- code: |
+    # slices bounds are optional: 
+    # if not given start is assumed to be the first label and stop is the last one.
+    # Here we select all years starting from 2010
+    pop[2010:, 'BruCap', 50:52, 'F', 'BE']
+
+
+- code: |
+    # Slices can also have a step (defaults to 1), to take every Nth labels
+    # Here we select all even years starting from 2010
+    pop[2010::2, 'BruCap', 50:52, 'F', 'BE']
+
+
+- code: |
+    # one can also use list of labels to take non-contiguous labels.
+    # Here we select years 2008, 2010, 2013 and 2015
+    pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']
+
+
+- markdown: |
+    The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. It only matters for output.
+
+
+- code: |
+    # order of index doesn't matter
+    pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]
+
+
+- markdown: |
+    <div class="alert alert-warning">
+    **Warning:** Selecting by labels as above works well as long as there is no ambiguity.
+       When two or more axes have common labels, it may lead to a crash.
+       The solution is then to precise to which axis belong the labels.
+    </div>
+
+
+- code: |
+    # let us now create an array with the same labels on several axes
+    age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')
+    
+    arr_ws = ndtest([age, weight, size])
+
+
+- code: |
+    # let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.
+    # In this case the subset is ambiguous and this results in an error:
+    arr_ws[10:18, :80, 160:165]
+
+
+- code: |
+    # the solution is simple. You need to precise the axes on which you make a selection
+    arr_ws[age[10:18], weight[:80], size[160:165]]
+
+
+- markdown: |
+    ### Special variable X
+    
+    When selecting, assiging or using aggregate functions, an axis can be
+    refered via the special variable ``X``:
+    
+    -  pop[X.age[:20]]
+    -  pop.sum(X.age)
+    
+    This gives you acces to axes of the array you are manipulating. The main
+    drawback of using **X** is that you lose the autocompletion available from
+    many editors. It only works with non-wildcard axes.
+
+
+- code: |
+    # the previous example could have been also written as  
+    arr_ws[X.age[10:18], X.weight[:80], X.size[160:165]]
+
+
+- markdown: |
+    ### Selection by Positions
+    
+    Sometimes it is more practical to use positions along the axis, instead of labels. 
+    You need to add the character ``i`` before the brackets: ``.i[positions]``. 
+    As for selection with labels, you can use single position or slice or list of positions. 
+    Positions can be also negative (-1 represent the last element of an axis).
+
+
+- markdown: |
+    <div class="alert alert-info">
+    **Note:** Remember that positions (indices) are always **0-based** in Python.
+    So the first element is at position 0, the second is at position 1, etc.
+    </div>
+
+
+- code: |
+    # here we select the subset associated with Belgian women of age 50, 51 and 52 
+    # from Brussels region for the first 3 years
+    pop[X.time.i[:3], 'BruCap', 50:52, 'F', 'BE']
+
+
+- code: |
+    # same but for the last 3 years
+    pop[X.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']
+
+
+- code: |
+    # using list of positions
+    pop[X.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']
+
+
+- markdown: |
+    <div class="alert alert-warning">
+    **Warning:** The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.
+    </div>
+
+
+- code: |
+    # with labels (3 is included)
+    pop[2015, 'BruCap', X.age[:3], 'F', 'BE']
+
+
+- code: |
+    # with position (3 is out)
+    pop[2015, 'BruCap', X.age.i[:3], 'F', 'BE']
+
+
+- markdown: |
+    You can use ``.i[]`` selection directly on array instead of axes. 
+    In this context, if you want to select a subset of the first and third axes for example, you must use a full slice ``:`` for the second one.
+
+
+- code: |
+    # here we select the last year and first 3 ages
+    # equivalent to: pop.i[-1, :, :3, :, :]
+    pop.i[-1, :, :3]
+
+
+- markdown: |
+    ### Assigning subsets
+    
+    #### Assigning value
+    
+    Assign a value to a subset
+
+
+- code: |
+    # let's take a smaller array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    pop2 = pop
+    pop2
+
+
+- code: |
+    # set all data corresponding to age >= 102 to 0
+    pop2[102:] = 0
+    pop2
+
+
+- markdown: |
+    One very important gotcha though...
+    
+    <div class="alert alert-warning">
+    **Warning:** Modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**. The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. To avoid such behavior, use ``.copy()`` method.
+    </div>
+       
+    Remember:
+    
+    -  taking a slice subset of an array is extremely fast (no data is
+       copied)
+    -  if one modifies that subset in-place, one also **modifies the
+       original array**
+    -  **.copy()** returns a copy of the subset (takes speed and memory) but
+       allows you to change the subset without modifying the original array
+       in the same time
+
+
+- code: |
+    # indeed, data from the original array have also changed
+    pop
+
+
+- code: |
+    # the right way
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    
+    pop2 = pop.copy()
+    pop2[102:] = 0
+    pop2
+
+
+- code: |
+    # now, data from the original array have not changed this time
+    pop
+
+
+- markdown: |
+    #### Assigning Arrays & Broadcasting
+    
+    Instead of a value, we can also assign an array to a subset. In that
+    case, that array can have less axes than the target but those which are
+    present must be compatible with the subset being targeted.
+
+
+- code: |
+    sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')
+    new_value = LArray([[1, -1], [2, -2]],[sex, nat])
+    new_value
+
+
+- code: |
+    # this assigns 1, -1 to Belgian, Foreigner men 
+    # and 2, -2 to Belgian, Foreigner women for all 
+    # people older than 100
+    pop[102:] = new_value
+    pop
+
+
+- markdown: |
+    <div class="alert alert-warning">
+    **Warning:** The array being assigned must have compatible axes with the target subset.
+    </div>
+
+
+- code: |
+    # assume we define the following array with shape 3 x 2 x 2
+    new_value = zeros(['age=0..2', sex, nat]) 
+    new_value
+
+
+- code: |
+    # now let's try to assign the previous array in a subset with shape 7 x 2 x 2
+    pop[102:] = new_value
+
+
+- code: |
+    # but this works
+    pop[102:104] = new_value
+    pop
+
+
+- markdown: |
+    ### Boolean filtering
+    
+    Boolean filtering can be use to extract subsets.
+
+
+- code: |
+    #Let's focus on population living in Brussels during the year 2016
+    pop = load_example_data('demography').pop[2016, 'BruCap']
+    
+    # here we select all males and females with age less than 5 and 10 respectively
+    subset = pop[((X.sex == 'H') & (X.age <= 5)) | ((X.sex == 'F') & (X.age <= 10))]
+    subset
+
+
+- markdown: |
+    <div class="alert alert-info">
+    **Note:** Be aware that after boolean filtering, several axes may have merged.
+    </div>
+
+
+- code: |
+    # 'age' and 'sex' axes have been merged together
+    subset.info
+
+
+- markdown: |
+    This may be not what you because previous selections on merged axes are no longer valid
+
+
+- code: |
+    # now let's try to calculate the proportion of females with age less than 10
+    subset['F'].sum() / pop['F'].sum()
+
+
+- markdown: |
+    Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements
+
+
+- code: |
+    subset = pop.copy()
+    subset[((X.sex == 'F') & (X.age > 10))] = 0
+    subset['F', :20]
+
+
+- code: |
+    # now we can calculate the proportion of females with age less than 10
+    subset['F'].sum() / pop['F'].sum()
+
+
+- markdown: |
+    Boolean filtering can also mix axes and arrays. Example above could also have been written as
+
+
+- code: |
+    age_limit = sequence('sex=M,F', initial=5, inc=5)
+    age_limit
+
+
+- code: |
+    age = pop.axes['age']
+    (age <= age_limit)[:20]
+
+
+- code: |
+    subset = pop.copy()
+    subset[X.age > age_limit] = 0
+    subset['F'].sum() / pop['F'].sum()
+
+
+- markdown: |
+    Finally, you can choose to filter on data instead of axes
+
+
+- code: |
+    # let's focus on females older than 90
+    subset = pop['F', 90:110].copy()
+    subset
+
+
+- code: |
+    # here we set to 0 all data < 10
+    subset[subset < 10] = 0
+    subset
+
+
+- markdown: |
+    ## Manipulates axes from arrays
+
+
+- code: |
+    # let's start with
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
+    pop
+
+
+- markdown: |
+    ### Relabeling
+    
+    Replace all labels of one axis
+
+
+- code: |
+    # returns a copy by default
+    pop_new_labels = pop.set_labels('sex', ['Men', 'Women'])
+    pop_new_labels
+
+
+- code: |
+    # inplace flag avoids to create a copy
+    pop.set_labels('sex', ['M', 'F'], inplace=True)
+
+
+- markdown: |
+    ### Renaming axes
+    
+    Rename one axis
+
+
+- code: |
+    pop.info
+
+
+- code: |
+    # 'rename' returns a copy of the array
+    pop2 = pop.rename('sex', 'gender')
+    pop2
+
+
+- markdown: |
+    Rename several axes at once
+
+
+- code: |
+    # No x. here because sex and nat are keywords and not actual axes
+    pop2 = pop.rename(sex='gender', nat='nationality')
+    pop2
+
+
+- markdown: |
+    ### Reordering axes
+    
+    Axes can be reordered using ``transpose`` method. 
+    By default, *transpose* reverse axes, otherwise it permutes the axes according to the list given as argument.
+    Axes not mentioned come after those which are mentioned(and keep their relative order).
+    Finally, *transpose* returns a copy of the array.
+
+
+- code: |
+    # starting order : age, sex, nat
+    pop
+
+
+- code: |
+    # no argument --> reverse axes
+    pop.transpose()
+    
+    # .T is a shortcut for .transpose()
+    pop.T
+
+
+- code: |
+    # reorder according to list
+    pop.transpose('age', 'nat', 'sex')
+
+
+- code: |
+    # axes not mentioned come after those which are mentioned (and keep their relative order)
+    pop.transpose('sex')
+
+
+- markdown: |
+    ## Aggregates
+    
+    Calculate the sum along an axis
+
+
+- code: |
+    pop = load_example_data('demography').pop[2016, 'BruCap']
+    pop.sum('age')
+
+
+- markdown: |
+    or along all axes except one by appending `_by` to the aggregation function
+
+
+- code: |
+    pop[90:95].sum_by('age')
+    # is equivalent to 
+    pop[90:95].sum('sex', 'nat')
+
+
+- markdown: |
+    There are many other [aggregation functions](api.rst#aggregation-functions):
+    
+    -  mean, min, max, median, percentile, var (variance), std (standard
+       deviation)
+    -  labelofmin, labelofmax (label indirect minimum/maxium -- labels where the
+       value is minimum/maximum)
+    -  indexofmin, indexofmax (positional indirect minimum/maxium -- position
+       along axis where the value is minimum/maximum)
+    -  cumsum, cumprod (cumulative sum, cumulative product)
+
+
+- markdown: |
+    ## Groups
+    
+    One can define groups of labels (or indices)
+
+
+- code: |
+    age = pop.axes['age']
+    
+    # using indices (remember: 20 will not be included)
+    teens = age.i[10:20]
+    # using labels
+    pensioners = age[67:]
+    strange = age[[30, 55, 52, 25, 99]]
+    
+    strange
+
+
+- markdown: |
+    or rename them
+
+
+- code: |
+    # method 'named' returns a new group with the given name
+    teens = teens.named('children')
+    
+    # operator >> is a shortcut for 'named'
+    pensioners = pensioners >> 'pensioners'
+    
+    pensioners 
+
+
+- markdown: |
+    Then, use them in selections
+
+
+- code: |
+    pop[strange]
+
+
+- markdown: |
+    or aggregations
+
+
+- code: |
+    pop.sum(pensioners)
+
+
+- code: |
+    # several groups (here you see the interest of groups renaming)
+    pop.sum((teens, pensioners, strange))
+
+
+- code: |
+    # combined with other axes
+    pop.sum((teens, pensioners, strange), 'nat')
+
+
+- markdown: |
+    ## Arithmetic operations
+
+
+- code: |
+    # go back to our 6 x 2 x 2 example array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
+    pop
+
+
+- markdown: |
+    One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually
+
+
+- code: |
+    # addition
+    pop + 200
+
+
+- code: |
+    # multiplication
+    pop * 2
+
+
+- code: |
+    # ** means raising to the power (squaring in this case)
+    pop ** 2
+
+
+- code: |
+    # % means modulo (aka remainder of division)
+    pop % 10
+
+
+- markdown: |
+    More interestingly, it also works between two arrays
+
+
+- code: |
+    # load mortality equivalent array
+    mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] 
+    
+    # compute number of deaths
+    death = pop * mortality
+    death
+
+
+- markdown: |
+    <div class="alert alert-info">
+    **Note:** Be careful when mixing different data types.
+    You can use the method ``astype`` to change the data type of an array.
+    </div>
+
+
+- code: |
+    # to be sure to get number of deaths as integers
+    # one can use .astype() method
+    death = (pop * mortality).astype(int)
+    death
+
+
+- markdown: |
+    But operations between two arrays only works when they have compatible axes (i.e. same labels)
+
+
+- code: |
+    pop[90:92] * mortality[93:95]
+
+
+- markdown: |
+    You can override that but at your own risk. 
+    In that case only the position on the axis is used and not the labels.
+
+
+- code: |
+    pop[90:92] * mortality[93:95].drop_labels('age')
+
+
+- markdown: |
+    ### Boolean Operations
+
+
+- code: |
+    pop2 = pop.copy()
+    pop2['F'] = -pop2['F']
+    pop2
+
+
+- code: |
+    # testing for equality is done using == (a single = assigns the value)
+    pop == pop2
+
+
+- code: |
+    # testing for inequality
+    pop != pop2
+
+
+- code: |
+    # what was our original array like again?
+    pop
+
+
+- code: |
+    # & means (boolean array) and
+    (pop >= 500) & (pop <= 1000)
+
+
+- code: |
+    # | means (boolean array) or
+    (pop < 500) | (pop > 1000)
+
+
+- markdown: |
+    ### Arithmetic operations with missing axes
+
+
+- code: |
+    pop.sum('age')
+
+
+- code: |
+    # arr has 3 dimensions
+    pop.info
+
+
+- code: |
+    # and arr.sum(age) has two
+    pop.sum('age').info
+
+
+- code: |
+    # you can do operation with missing axes so this works
+    pop / pop.sum('age')
+
+
+- markdown: |
+    ### Axis order does not matter much (except for output)
+    
+    You can do operations between arrays having different axes order.
+    The axis order of the result is the same as the left array
+
+
+- code: |
+    pop
+
+
+- code: |
+    # let us change the order of axes
+    pop_transposed = pop.T
+    pop_transposed
+
+
+- code: |
+    # mind blowing
+    pop_transposed + pop
+
+
+- markdown: |
+    ## Combining arrays
+    
+    ### Append/Prepend
+    
+    Append/prepend one element to an axis of an array
+
+
+- code: |
+    pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] 
+    
+    # imagine that you have now acces to the number of non-EU foreigners
+    data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]
+    pop_non_eu = LArray(data, pop['FO'].axes)
+    
+    # you can do something like this
+    pop = pop.append(nat, pop_non_eu, 'NEU')
+    pop
+
+
+- code: |
+    # you can also add something at the start of an axis
+    pop = pop.prepend('sex', pop.sum('sex'), 'B')
+    pop
+
+
+- markdown: |
+    The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible
+
+
+- code: |
+    aliens = zeros(pop.axes['sex'])
+    aliens
+
+
+- code: |
+    pop = pop.append('nat', aliens, 'AL')
+    pop
+
+
+- markdown: |
+    ### Extend
+    
+    Extend an array along an axis with another array *with* that axis (but other labels)
+
+
+- code: |
+    _pop = load_example_data('demography').pop
+    pop = _pop[2016, 'BruCap', 90:95] 
+    pop_next = _pop[2016, 'BruCap', 96:100]
+    
+    # concatenate along age axis
+    pop.extend('age', pop_next)
+
+
+- markdown: |
+    ### Stack
+    
+    Stack several arrays together to create an entirely new dimension
+
+
+- code: |
+    # imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)
+    pop_be, pop_fo = pop['BE'], pop['FO']
+    
+    # first way to stack them
+    nat = Axis('nat=BE,FO,NEU')
+    pop = stack([pop_be, pop_fo, pop_non_eu], nat)
+    
+    # second way
+    pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')
+    
+    pop
+
+
+- markdown: |
+    ## Sorting
+    
+    Sort an axis (alphabetically if labels are strings)
+
+
+- code: |
+    pop_sorted = pop.sort_axes('nat')
+    pop_sorted
+
+
+- markdown: |
+    Give labels which would sort the axis   
+
+
+- code: |
+    pop_sorted.labelsofsorted('sex')
+
+
+- markdown: |
+    Sort according to values   
+
+
+- code: |
+    pop_sorted.sort_values((90, 'F'))
+
+
+- markdown: |
+    ## Plotting
+    
+    Create a plot (last axis define the different curves to draw)
+
+
+- code: |
+    pop.plot()
+
+
+- code: |
+    # plot total of both sex
+    pop.sum('sex').plot()
+
+
+- markdown: |
+    ## Interesting methods
+
+
+- code: |
+    # starting array
+    pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
+    pop
+
+
+- markdown: |
+    ### with total
+    
+    Add totals to one axis
+
+
+- code: |
+    pop.with_total('sex', label='B')
+
+
+- markdown: |
+    Add totals to all axes at once
+
+
+- code: |
+    # by default label is 'total'
+    pop.with_total()
+
+
+- markdown: |
+    ### where
+    
+    where can be used to apply some computation depending on a condition
+
+
+- code: |
+    # where(condition, value if true, value if false)
+    where(pop < 10, 0, -pop)
+
+
+- markdown: |
+    ### clip
+    
+    Set all data between a certain range
+
+
+- code: |
+    # clip(min, max)
+    # values below 10 are set to 10 and values above 50 are set to 50
+    pop.clip(10, 50)
+
+
+- markdown: |
+    ### divnot0
+    
+    Replace division by 0 to 0
+
+
+- code: |
+    pop['BE'] / pop['FO']
+
+
+- code: |
+    # divnot0 replaces results of division by 0 by 0. 
+    # Using it should be done with care though
+    # because it can hide a real error in your data.
+    pop['BE'].divnot0(pop['FO'])
+
+
+- markdown: |
+    ### diff
+    
+    The ``diff`` method calculates the n-th order discrete difference along a given axis.
+    The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis.
+
+
+- code: |
+    pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]
+    pop
+
+
+- code: |
+    # calculates 'pop[year+1] - pop[year]'
+    pop.diff('time')
+
+
+- code: |
+    # calculates 'pop[year+2] - pop[year]'
+    pop.diff('time', d=2)
+
+
+- markdown: |
+    ### ratio
+
+
+- code: |
+    pop.ratio('nat')
+    
+    # which is equivalent to
+    pop / pop.sum('nat')
+
+
+- markdown: |
+    ### percents
+
+
+- code: |
+    # or, if you want the previous ratios in percents
+    pop.percent('nat')
+
+
+- markdown: |
+    ### growth\_rate
+    
+    using the same principle than `diff`   
+
+
+- code: |
+    pop.growth_rate('time')
+
+
+- markdown: |
+    ### shift
+    
+    The ``shift`` method drops first label of an axis and shifts all subsequent labels
+
+
+- code: |
+    pop.shift('time')
+
+
+- code: |
+    # when shift is applied on an (increasing) time axis, 
+    # it effectively brings "past" data into the future
+    pop.shift('time').drop_labels('time') == pop[2005:2014].drop_labels('time')
+
+
+- code: |
+    # this is mostly useful when you want to do operations between the past and now
+    # as an example, here is an alternative implementation of the .diff method seen above:
+    pop.i[1:] - pop.shift('time')
+
+
+- markdown: |
+    ### Misc other interesting functions
+    
+    There are a lot more [interesting functions](api.rst#miscellaneous) available:
+    
+    - round, floor, ceil, trunc,
+    - exp, log, log10,
+    - sqrt, absolute, nan_to_num, isnan, isinf, inverse,
+    - sin, cos, tan, arcsin, arccos, arctan
+    - and many many more...
+
+
+- markdown: |
+    ## Sessions
+    
+    You can group several arrays in a [Session](api.rst#session)
+
+
+- code: |
+    # load several arrays
+    arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))
+    
+    # create and populate a 'session'
+    s1 = Session()
+    s1.arr1 = arr1
+    s1.arr2 = arr2
+    s1.arr3 = arr3
+    
+    s1
+
+
+- code: |
+    s2 = s1.copy()
+    s3 = s1.copy()
+
+  metadata:
+    nbsphinx: hidden
+
+- markdown: |
+    The advantage of sessions is that you can manipulate all of the arrays in them in one shot
+    
+    ```python
+    # this saves all the arrays in a single excel file (each array on a different sheet)
+    s1.save('test.xlsx')
+    
+    # this saves all the arrays in a single HDF5 file (which is a very fast format)
+    s1.save('test.h5')
+    
+    # this creates a session out of all arrays in the .h5 file
+    s2 = Session('test.h5')
+    ```
+
+
+- markdown: |
+    ```python
+    # this creates a session out of all arrays in the .xlsx file
+    s3 = Session('test.xlsx')
+    ```
+
+
+- markdown: |
+    You can compare two sessions
+
+
+- code: |
+    s1.equals(s2)
+
+
+- code: |
+    # let us introduce a difference (a variant, or a mistake perhaps)
+    s2.arr1['a0', 'b1':] = 0
+
+
+- code: |
+    s1.equals(s2)
+
+
+- code: |
+    s_diff = s1 != s2
+    s_diff
+
+
+- markdown: |
+    This a bit experimental but can be useful nonetheless (open a graphical interface)
+    
+    ```python
+    compare(s1_diff.arr1, s2_diff.arr1)
+    ```
+
+
+# The lines below here may be deleted if you do not need them.
+# ---------------------------------------------------------------------------
+metadata:
+  celltoolbar: Edit Metadata
+  kernelspec:
+    display_name: Python 3
+    language: python
+    name: python3
+  language_info:
+    codemirror_mode:
+      name: ipython
+      version: 3
+    file_extension: .py
+    mimetype: text/x-python
+    name: python
+    nbconvert_exporter: python
+    pygments_lexer: ipython3
+    version: 3.6.3
+nbformat: 4
+nbformat_minor: 2
+
diff --git a/doc/source/tutorial/tutorial.ipynb b/doc/source/tutorial/tutorial.ipynb
new file mode 100644
index 000000000..c6eb918df
--- /dev/null
+++ b/doc/source/tutorial/tutorial.ipynb
@@ -0,0 +1,2479 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "# @tutorial writers: You can remove cells from the HTML/LaTeX output by adding this to the cell metadata:\n",
+    "# \"nbsphinx\": \"hidden\"\n",
+    "\n",
+    "# ignore warnings\n",
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "\n",
+    "# simplify exception output\n",
+    "%xmode Plain"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To import the LArray library, run:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from larray import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Axis creation\n",
+    "\n",
+    "An [Axis](api.rst#Axis) represents a dimension of an LArray object.\n",
+    "It consists of a name and a list of labels. They are several ways to create an axis:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create a wildcard axis \n",
+    "age = Axis(3, 'age')\n",
+    "# labels given as a list \n",
+    "time = Axis([2007, 2008, 2009], 'time')\n",
+    "# create an axis using one string\n",
+    "sex = Axis('sex=M,F')\n",
+    "# labels generated using a special syntax  \n",
+    "other = Axis('other=A01..C03')\n",
+    "\n",
+    "age, sex, time, other"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Array creation\n",
+    "\n",
+    "A [LArray](api.rst#LArray) object represents a multidimensional array with labeled axes.\n",
+    "\n",
+    "### From scratch\n",
+    "\n",
+    "To create an array from scratch, you need to provide the data and a list\n",
+    "of axes. Optionally, a title can be defined."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# list of the axes\n",
+    "axes = [age, sex, time, other]\n",
+    "# data (the shape of data array must match axes lengths)\n",
+    "data = np.random.randint(100, size=[len(axis) for axis in axes])\n",
+    "# title (optional)\n",
+    "title = 'random data'\n",
+    "\n",
+    "arr = LArray(data, axes, title)\n",
+    "arr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Array creation functions\n",
+    "\n",
+    "Arrays can also be generated in an easier way through [creation functions](api.rst#array-creation-functions):\n",
+    "\n",
+    "-  `ndtest` : creates a test array with increasing numbers as data\n",
+    "-  `empty` : creates an array but leaves its allocated memory\n",
+    "   unchanged (i.e., it contains \"garbage\". Be careful !)\n",
+    "-  `zeros`: fills an array with 0\n",
+    "-  `ones` : fills an array with 1\n",
+    "-  `full` : fills an array with a given value\n",
+    "-  `sequence` : creates an array from an axis by iteratively applying a function to a given initial value.\n",
+    "\n",
+    "Except for ndtest, a list of axes must be provided.\n",
+    "Axes can be passed in different ways:\n",
+    "\n",
+    "-  as Axis objects\n",
+    "-  as integers defining the lengths of auto-generated wildcard axes\n",
+    "-  as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)\n",
+    "-  as pairs (name, labels)\n",
+    "\n",
+    "Optionally, the type of data stored by the array can be specified using argument dtype."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# start defines the starting value of data\n",
+    "ndtest(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# start defines the starting value of data\n",
+    "# label_start defines the starting index of labels\n",
+    "ndtest((3, 3), start=-1, label_start=2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# empty generates uninitialised array with correct axes \n",
+    "# (much faster but use with care!).\n",
+    "# This not really random either, it just reuses a portion \n",
+    "# of memory that is available, with whatever content is there. \n",
+    "# Use it only if performance matters and make sure all data \n",
+    "# will be overridden. \n",
+    "empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# example with anonymous axes\n",
+    "zeros(['0..2', 'M,F', '2007..2009'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# dtype=int forces to store int data instead of default float\n",
+    "ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All the above functions exist in *(func)_like* variants which take axes from another array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ones_like(arr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Sequence"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... \n",
+    "sequence('sex=M,F', initial=1.0, inc=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... \n",
+    "sequence('age=0..2', initial=1.0, mult=2.0) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Using your own function\n",
+    "sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also create N-dimensional array by passing (N-1)-dimensional\n",
+    "array to initial, inc or mult argument"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "birth = LArray([1.05, 1.15], 'sex=M,F')\n",
+    "cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)\n",
+    "cumulate_newborns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "initial = LArray([90, 100], 'sex=M,F') \n",
+    "survival = LArray([0.96, 0.98], 'sex=M,F')\n",
+    "pop = sequence('age=80..83', initial=initial, mult=survival)\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load/Dump from files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "demography = load_example_data('demography')\n",
+    "household = demography.hh\n",
+    "pop = demography.pop\n",
+    "mortality = demography.qx"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load from files\n",
+    "\n",
+    "Arrays can be loaded from CSV files\n",
+    "\n",
+    "```python\n",
+    "# read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)\n",
+    "# read_eurostat is a shortcut to read EUROSTAT TSV files  \n",
+    "household = read_csv('hh.csv')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or Excel sheets\n",
+    "\n",
+    "```python\n",
+    "# loads array from the first sheet if no sheetname is given\n",
+    "pop = read_excel('demography.xlsx', 'pop')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or HDF5 files (HDF5 is file format designed to store and organize large amounts of data. \n",
+    "An HDF5 file can contain multiple arrays. \n",
+    "\n",
+    "```python\n",
+    "mortality = read_hdf('demography.h5','qx')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "See documentation of [reading functions](api.rst#read) for more details"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Dump in files\n",
+    "\n",
+    "Arrays can be dumped in CSV files  \n",
+    "\n",
+    "```python\n",
+    "household.to_csv('hh2.csv')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or in Excel files\n",
+    "\n",
+    "```python\n",
+    "# if the file does not already exist, it is created with a single sheet, \n",
+    "# otherwise a new sheet is added to it\n",
+    "household.to_excel('demography_2.xlsx', overwrite_file=True)\n",
+    "# it is usually better to specify the sheet explicitly (by name or position) though\n",
+    "household.to_excel('demography_2.xlsx', 'hh')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or in HDF5 files\n",
+    "\n",
+    "```python\n",
+    "household.to_hdf('demography_2.h5', 'hh')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "See documentation of [writing methods](api.rst#write) for more details"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### more Excel IO"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Write Arrays\n",
+    "\n",
+    "Open an Excel file\n",
+    "\n",
+    "```python\n",
+    "wb = open_excel('test.xlsx', overwrite_file=True)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Put an array in an Excel Sheet, **excluding** headers (labels)\n",
+    "\n",
+    "```python\n",
+    "# put arr at A1 in Sheet1, excluding headers (labels)\n",
+    "wb['Sheet1'] = arr\n",
+    "# same but starting at A9\n",
+    "# note that Sheet1 must exist\n",
+    "wb['Sheet1']['A9'] = arr\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Put an array in an Excel Sheet, **including** headers (labels)\n",
+    "\n",
+    "```python\n",
+    "# dump arr at A1 in Sheet2, including headers (labels)\n",
+    "wb['Sheet2'] = arr.dump()\n",
+    "# same but starting at A10\n",
+    "wb['Sheet2']['A10'] = arr.dump()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Save file to disk   \n",
+    "\n",
+    "```python\n",
+    "wb.save()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Close file    \n",
+    "\n",
+    "```python\n",
+    "wb.close()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read Arrays\n",
+    "\n",
+    "Open an Excel file   \n",
+    "\n",
+    "```python\n",
+    "wb = open_excel('test.xlsx')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load an array from a sheet (assuming the presence of (correctly formatted) headers and only one array in sheet)\n",
+    "\n",
+    "```python\n",
+    "# save one array in Sheet3 (including headers)\n",
+    "wb['Sheet3'] = arr.dump()\n",
+    "\n",
+    "# load array from the data starting at A1 in Sheet3\n",
+    "arr = wb['Sheet3'].load()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load an array with its axes information from a range\n",
+    "\n",
+    "```python\n",
+    "# if you need to use the same sheet several times,\n",
+    "# you can create a sheet variable\n",
+    "sheet2 = wb['Sheet2']\n",
+    "\n",
+    "# load array contained in the 4 x 4 table defined by cells A10 and D14\n",
+    "arr2 = sheet2['A10:D14'].load()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read Ranges (experimental)\n",
+    "\n",
+    "Load an array (raw data) with no axis information from a range\n",
+    "\n",
+    "```python\n",
+    "arr3 = wb['Sheet1']['A1:B4']\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "in fact, this is not really an LArray ...\n",
+    "\n",
+    "```python\n",
+    "type(arr3)\n",
+    "\n",
+    "larray.io.excel.Range\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "... but it can be used as such  \n",
+    "\n",
+    "```python\n",
+    "arr3.sum(axis=0)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "... and it can be used for other stuff, like setting the formula instead of the value:   \n",
+    "\n",
+    "```python\n",
+    "arr3.formula = '=D10+1'\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the future, we should also be able to set font name, size, style, etc.   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Inspecting"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load population array\n",
+    "pop = load_example_data('demography').pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get array summary : dimensions + description of axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get axes  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "time, geo, age, sex, nat = pop.axes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get array dimensions "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get number of elements  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.size"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Get size in memory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.memory_used"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Start viewer (graphical user interface) in read-only mode.\n",
+    "This will open a new window and block execution of the rest of code until the windows is closed! Required PyQt installed.\n",
+    "\n",
+    "```python\n",
+    "view(pop)\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load array in an Excel sheet\n",
+    "\n",
+    "```python\n",
+    "pop.to_excel()\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Selection (Subsets)\n",
+    "\n",
+    "LArray allows to select a subset of an array either by labels or positions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selection by Labels\n",
+    "\n",
+    "To take a subset of an array using labels, use brackets [ ].\n",
+    "\n",
+    "Let's start by selecting a single element:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we select the value associated with Belgian women \n",
+    "# of age 50 from Brussels region for the year 2015\n",
+    "pop[2015, 'BruCap', 50, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Continue with selecting a subset using slices and lists of labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
+    "# from Brussels region for the years 2010 to 2016\n",
+    "pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# slices bounds are optional: \n",
+    "# if not given start is assumed to be the first label and stop is the last one.\n",
+    "# Here we select all years starting from 2010\n",
+    "pop[2010:, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Slices can also have a step (defaults to 1), to take every Nth labels\n",
+    "# Here we select all even years starting from 2010\n",
+    "pop[2010::2, 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# one can also use list of labels to take non-contiguous labels.\n",
+    "# Here we select years 2008, 2010, 2013 and 2015\n",
+    "pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. It only matters for output."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# order of index doesn't matter\n",
+    "pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "**Warning:** Selecting by labels as above works well as long as there is no ambiguity.\n",
+    "   When two or more axes have common labels, it may lead to a crash.\n",
+    "   The solution is then to precise to which axis belong the labels.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let us now create an array with the same labels on several axes\n",
+    "age, weight, size = Axis('age=0..80'), Axis('weight=0..120'), Axis('size=0..200')\n",
+    "\n",
+    "arr_ws = ndtest([age, weight, size])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.\n",
+    "# In this case the subset is ambiguous and this results in an error:\n",
+    "arr_ws[10:18, :80, 160:165]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# the solution is simple. You need to precise the axes on which you make a selection\n",
+    "arr_ws[age[10:18], weight[:80], size[160:165]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Special variable X\n",
+    "\n",
+    "When selecting, assiging or using aggregate functions, an axis can be\n",
+    "refered via the special variable ``X``:\n",
+    "\n",
+    "-  pop[X.age[:20]]\n",
+    "-  pop.sum(X.age)\n",
+    "\n",
+    "This gives you acces to axes of the array you are manipulating. The main\n",
+    "drawback of using **X** is that you lose the autocompletion available from\n",
+    "many editors. It only works with non-wildcard axes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# the previous example could have been also written as  \n",
+    "arr_ws[X.age[10:18], X.weight[:80], X.size[160:165]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selection by Positions\n",
+    "\n",
+    "Sometimes it is more practical to use positions along the axis, instead of labels. \n",
+    "You need to add the character ``i`` before the brackets: ``.i[positions]``. \n",
+    "As for selection with labels, you can use single position or slice or list of positions. \n",
+    "Positions can be also negative (-1 represent the last element of an axis)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "**Note:** Remember that positions (indices) are always **0-based** in Python.\n",
+    "So the first element is at position 0, the second is at position 1, etc.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we select the subset associated with Belgian women of age 50, 51 and 52 \n",
+    "# from Brussels region for the first 3 years\n",
+    "pop[X.time.i[:3], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# same but for the last 3 years\n",
+    "pop[X.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# using list of positions\n",
+    "pop[X.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "**Warning:** The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# with labels (3 is included)\n",
+    "pop[2015, 'BruCap', X.age[:3], 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# with position (3 is out)\n",
+    "pop[2015, 'BruCap', X.age.i[:3], 'F', 'BE']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can use ``.i[]`` selection directly on array instead of axes. \n",
+    "In this context, if you want to select a subset of the first and third axes for example, you must use a full slice ``:`` for the second one."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we select the last year and first 3 ages\n",
+    "# equivalent to: pop.i[-1, :, :3, :, :]\n",
+    "pop.i[-1, :, :3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Assigning subsets\n",
+    "\n",
+    "#### Assigning value\n",
+    "\n",
+    "Assign a value to a subset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let's take a smaller array\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
+    "pop2 = pop\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# set all data corresponding to age >= 102 to 0\n",
+    "pop2[102:] = 0\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One very important gotcha though...\n",
+    "\n",
+    "<div class=\"alert alert-warning\">\n",
+    "**Warning:** Modifying a slice of an array in-place like we did above should be done with care otherwise you could have **unexpected effects**. The reason is that taking a **slice** subset of an array does not return a copy of that array, but rather a view on that array. To avoid such behavior, use ``.copy()`` method.\n",
+    "</div>\n",
+    "   \n",
+    "Remember:\n",
+    "\n",
+    "-  taking a slice subset of an array is extremely fast (no data is\n",
+    "   copied)\n",
+    "-  if one modifies that subset in-place, one also **modifies the\n",
+    "   original array**\n",
+    "-  **.copy()** returns a copy of the subset (takes speed and memory) but\n",
+    "   allows you to change the subset without modifying the original array\n",
+    "   in the same time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# indeed, data from the original array have also changed\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# the right way\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
+    "\n",
+    "pop2 = pop.copy()\n",
+    "pop2[102:] = 0\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# now, data from the original array have not changed this time\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Assigning Arrays & Broadcasting\n",
+    "\n",
+    "Instead of a value, we can also assign an array to a subset. In that\n",
+    "case, that array can have less axes than the target but those which are\n",
+    "present must be compatible with the subset being targeted."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sex, nat = Axis('sex=M,F'), Axis('nat=BE,FO')\n",
+    "new_value = LArray([[1, -1], [2, -2]],[sex, nat])\n",
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this assigns 1, -1 to Belgian, Foreigner men \n",
+    "# and 2, -2 to Belgian, Foreigner women for all \n",
+    "# people older than 100\n",
+    "pop[102:] = new_value\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-warning\">\n",
+    "**Warning:** The array being assigned must have compatible axes with the target subset.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assume we define the following array with shape 3 x 2 x 2\n",
+    "new_value = zeros(['age=0..2', sex, nat]) \n",
+    "new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# now let's try to assign the previous array in a subset with shape 7 x 2 x 2\n",
+    "pop[102:] = new_value"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# but this works\n",
+    "pop[102:104] = new_value\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Boolean filtering\n",
+    "\n",
+    "Boolean filtering can be use to extract subsets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Let's focus on population living in Brussels during the year 2016\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
+    "\n",
+    "# here we select all males and females with age less than 5 and 10 respectively\n",
+    "subset = pop[((X.sex == 'H') & (X.age <= 5)) | ((X.sex == 'F') & (X.age <= 10))]\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "**Note:** Be aware that after boolean filtering, several axes may have merged.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 'age' and 'sex' axes have been merged together\n",
+    "subset.info"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This may be not what you because previous selections on merged axes are no longer valid"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# now let's try to calculate the proportion of females with age less than 10\n",
+    "subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subset = pop.copy()\n",
+    "subset[((X.sex == 'F') & (X.age > 10))] = 0\n",
+    "subset['F', :20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# now we can calculate the proportion of females with age less than 10\n",
+    "subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Boolean filtering can also mix axes and arrays. Example above could also have been written as"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "age_limit = sequence('sex=M,F', initial=5, inc=5)\n",
+    "age_limit"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "age = pop.axes['age']\n",
+    "(age <= age_limit)[:20]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "subset = pop.copy()\n",
+    "subset[X.age > age_limit] = 0\n",
+    "subset['F'].sum() / pop['F'].sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, you can choose to filter on data instead of axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let's focus on females older than 90\n",
+    "subset = pop['F', 90:110].copy()\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# here we set to 0 all data < 10\n",
+    "subset[subset < 10] = 0\n",
+    "subset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Manipulates axes from arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let's start with\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Relabeling\n",
+    "\n",
+    "Replace all labels of one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# returns a copy by default\n",
+    "pop_new_labels = pop.set_labels('sex', ['Men', 'Women'])\n",
+    "pop_new_labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# inplace flag avoids to create a copy\n",
+    "pop.set_labels('sex', ['M', 'F'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Renaming axes\n",
+    "\n",
+    "Rename one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 'rename' returns a copy of the array\n",
+    "pop2 = pop.rename('sex', 'gender')\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Rename several axes at once"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# No x. here because sex and nat are keywords and not actual axes\n",
+    "pop2 = pop.rename(sex='gender', nat='nationality')\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Reordering axes\n",
+    "\n",
+    "Axes can be reordered using ``transpose`` method. \n",
+    "By default, *transpose* reverse axes, otherwise it permutes the axes according to the list given as argument.\n",
+    "Axes not mentioned come after those which are mentioned(and keep their relative order).\n",
+    "Finally, *transpose* returns a copy of the array."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# starting order : age, sex, nat\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# no argument --> reverse axes\n",
+    "pop.transpose()\n",
+    "\n",
+    "# .T is a shortcut for .transpose()\n",
+    "pop.T"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# reorder according to list\n",
+    "pop.transpose('age', 'nat', 'sex')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# axes not mentioned come after those which are mentioned (and keep their relative order)\n",
+    "pop.transpose('sex')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Aggregates\n",
+    "\n",
+    "Calculate the sum along an axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop = load_example_data('demography').pop[2016, 'BruCap']\n",
+    "pop.sum('age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or along all axes except one by appending `_by` to the aggregation function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop[90:95].sum_by('age')\n",
+    "# is equivalent to \n",
+    "pop[90:95].sum('sex', 'nat')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There are many other [aggregation functions](api.rst#aggregation-functions):\n",
+    "\n",
+    "-  mean, min, max, median, percentile, var (variance), std (standard\n",
+    "   deviation)\n",
+    "-  labelofmin, labelofmax (label indirect minimum/maxium -- labels where the\n",
+    "   value is minimum/maximum)\n",
+    "-  indexofmin, indexofmax (positional indirect minimum/maxium -- position\n",
+    "   along axis where the value is minimum/maximum)\n",
+    "-  cumsum, cumprod (cumulative sum, cumulative product)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Groups\n",
+    "\n",
+    "One can define groups of labels (or indices)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "age = pop.axes['age']\n",
+    "\n",
+    "# using indices (remember: 20 will not be included)\n",
+    "teens = age.i[10:20]\n",
+    "# using labels\n",
+    "pensioners = age[67:]\n",
+    "strange = age[[30, 55, 52, 25, 99]]\n",
+    "\n",
+    "strange"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or rename them"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# method 'named' returns a new group with the given name\n",
+    "teens = teens.named('children')\n",
+    "\n",
+    "# operator >> is a shortcut for 'named'\n",
+    "pensioners = pensioners >> 'pensioners'\n",
+    "\n",
+    "pensioners "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Then, use them in selections"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop[strange]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "or aggregations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.sum(pensioners)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# several groups (here you see the interest of groups renaming)\n",
+    "pop.sum((teens, pensioners, strange))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# combined with other axes\n",
+    "pop.sum((teens, pensioners, strange), 'nat')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Arithmetic operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# go back to our 6 x 2 x 2 example array\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# addition\n",
+    "pop + 200"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# multiplication\n",
+    "pop * 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ** means raising to the power (squaring in this case)\n",
+    "pop ** 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# % means modulo (aka remainder of division)\n",
+    "pop % 10"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "More interestingly, it also works between two arrays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load mortality equivalent array\n",
+    "mortality = load_example_data('demography').qx[2016, 'BruCap', 90:95] \n",
+    "\n",
+    "# compute number of deaths\n",
+    "death = pop * mortality\n",
+    "death"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-info\">\n",
+    "**Note:** Be careful when mixing different data types.\n",
+    "You can use the method ``astype`` to change the data type of an array.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# to be sure to get number of deaths as integers\n",
+    "# one can use .astype() method\n",
+    "death = (pop * mortality).astype(int)\n",
+    "death"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But operations between two arrays only works when they have compatible axes (i.e. same labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop[90:92] * mortality[93:95]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can override that but at your own risk. \n",
+    "In that case only the position on the axis is used and not the labels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop[90:92] * mortality[93:95].drop_labels('age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Boolean Operations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop2 = pop.copy()\n",
+    "pop2['F'] = -pop2['F']\n",
+    "pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# testing for equality is done using == (a single = assigns the value)\n",
+    "pop == pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# testing for inequality\n",
+    "pop != pop2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# what was our original array like again?\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# & means (boolean array) and\n",
+    "(pop >= 500) & (pop <= 1000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# | means (boolean array) or\n",
+    "(pop < 500) | (pop > 1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Arithmetic operations with missing axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.sum('age')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# arr has 3 dimensions\n",
+    "pop.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# and arr.sum(age) has two\n",
+    "pop.sum('age').info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# you can do operation with missing axes so this works\n",
+    "pop / pop.sum('age')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Axis order does not matter much (except for output)\n",
+    "\n",
+    "You can do operations between arrays having different axes order.\n",
+    "The axis order of the result is the same as the left array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let us change the order of axes\n",
+    "pop_transposed = pop.T\n",
+    "pop_transposed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# mind blowing\n",
+    "pop_transposed + pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Combining arrays\n",
+    "\n",
+    "### Append/Prepend\n",
+    "\n",
+    "Append/prepend one element to an axis of an array"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 90:95] \n",
+    "\n",
+    "# imagine that you have now acces to the number of non-EU foreigners\n",
+    "data = [[25, 54], [15, 33], [12, 28], [11, 37], [5, 21], [7, 19]]\n",
+    "pop_non_eu = LArray(data, pop['FO'].axes)\n",
+    "\n",
+    "# you can do something like this\n",
+    "pop = pop.append(nat, pop_non_eu, 'NEU')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# you can also add something at the start of an axis\n",
+    "pop = pop.prepend('sex', pop.sum('sex'), 'B')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "aliens = zeros(pop.axes['sex'])\n",
+    "aliens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop = pop.append('nat', aliens, 'AL')\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extend\n",
+    "\n",
+    "Extend an array along an axis with another array *with* that axis (but other labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_pop = load_example_data('demography').pop\n",
+    "pop = _pop[2016, 'BruCap', 90:95] \n",
+    "pop_next = _pop[2016, 'BruCap', 96:100]\n",
+    "\n",
+    "# concatenate along age axis\n",
+    "pop.extend('age', pop_next)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Stack\n",
+    "\n",
+    "Stack several arrays together to create an entirely new dimension"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imagine you have loaded data for each nationality in different arrays (e.g. loaded from different Excel sheets)\n",
+    "pop_be, pop_fo = pop['BE'], pop['FO']\n",
+    "\n",
+    "# first way to stack them\n",
+    "nat = Axis('nat=BE,FO,NEU')\n",
+    "pop = stack([pop_be, pop_fo, pop_non_eu], nat)\n",
+    "\n",
+    "# second way\n",
+    "pop = stack([('BE', pop_be), ('FO', pop_fo), ('NEU', pop_non_eu)], 'nat')\n",
+    "\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sorting\n",
+    "\n",
+    "Sort an axis (alphabetically if labels are strings)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop_sorted = pop.sort_axes('nat')\n",
+    "pop_sorted"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Give labels which would sort the axis   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop_sorted.labelsofsorted('sex')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Sort according to values   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop_sorted.sort_values((90, 'F'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotting\n",
+    "\n",
+    "Create a plot (last axis define the different curves to draw)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot total of both sex\n",
+    "pop.sum('sex').plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Interesting methods"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# starting array\n",
+    "pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### with total\n",
+    "\n",
+    "Add totals to one axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.with_total('sex', label='B')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Add totals to all axes at once"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# by default label is 'total'\n",
+    "pop.with_total()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### where\n",
+    "\n",
+    "where can be used to apply some computation depending on a condition"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# where(condition, value if true, value if false)\n",
+    "where(pop < 10, 0, -pop)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### clip\n",
+    "\n",
+    "Set all data between a certain range"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# clip(min, max)\n",
+    "# values below 10 are set to 10 and values above 50 are set to 50\n",
+    "pop.clip(10, 50)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### divnot0\n",
+    "\n",
+    "Replace division by 0 to 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop['BE'] / pop['FO']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# divnot0 replaces results of division by 0 by 0. \n",
+    "# Using it should be done with care though\n",
+    "# because it can hide a real error in your data.\n",
+    "pop['BE'].divnot0(pop['FO'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### diff\n",
+    "\n",
+    "The ``diff`` method calculates the n-th order discrete difference along a given axis.\n",
+    "The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]\n",
+    "pop"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# calculates 'pop[year+1] - pop[year]'\n",
+    "pop.diff('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# calculates 'pop[year+2] - pop[year]'\n",
+    "pop.diff('time', d=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ratio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.ratio('nat')\n",
+    "\n",
+    "# which is equivalent to\n",
+    "pop / pop.sum('nat')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### percents"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# or, if you want the previous ratios in percents\n",
+    "pop.percent('nat')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### growth\\_rate\n",
+    "\n",
+    "using the same principle than `diff`   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.growth_rate('time')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### shift\n",
+    "\n",
+    "The ``shift`` method drops first label of an axis and shifts all subsequent labels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pop.shift('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# when shift is applied on an (increasing) time axis, \n",
+    "# it effectively brings \"past\" data into the future\n",
+    "pop.shift('time').drop_labels('time') == pop[2005:2014].drop_labels('time')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# this is mostly useful when you want to do operations between the past and now\n",
+    "# as an example, here is an alternative implementation of the .diff method seen above:\n",
+    "pop.i[1:] - pop.shift('time')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Misc other interesting functions\n",
+    "\n",
+    "There are a lot more [interesting functions](api.rst#miscellaneous) available:\n",
+    "\n",
+    "- round, floor, ceil, trunc,\n",
+    "- exp, log, log10,\n",
+    "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
+    "- sin, cos, tan, arcsin, arccos, arctan\n",
+    "- and many many more..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sessions\n",
+    "\n",
+    "You can group several arrays in a [Session](api.rst#session)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# load several arrays\n",
+    "arr1, arr2, arr3 = ndtest((3, 3)), ndtest((4, 2)), ndtest((2, 4))\n",
+    "\n",
+    "# create and populate a 'session'\n",
+    "s1 = Session()\n",
+    "s1.arr1 = arr1\n",
+    "s1.arr2 = arr2\n",
+    "s1.arr3 = arr3\n",
+    "\n",
+    "s1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "nbsphinx": "hidden"
+   },
+   "outputs": [],
+   "source": [
+    "s2 = s1.copy()\n",
+    "s3 = s1.copy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The advantage of sessions is that you can manipulate all of the arrays in them in one shot\n",
+    "\n",
+    "```python\n",
+    "# this saves all the arrays in a single excel file (each array on a different sheet)\n",
+    "s1.save('test.xlsx')\n",
+    "\n",
+    "# this saves all the arrays in a single HDF5 file (which is a very fast format)\n",
+    "s1.save('test.h5')\n",
+    "\n",
+    "# this creates a session out of all arrays in the .h5 file\n",
+    "s2 = Session('test.h5')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "```python\n",
+    "# this creates a session out of all arrays in the .xlsx file\n",
+    "s3 = Session('test.xlsx')\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can compare two sessions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1.equals(s2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# let us introduce a difference (a variant, or a mistake perhaps)\n",
+    "s2.arr1['a0', 'b1':] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1.equals(s2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s_diff = s1 != s2\n",
+    "s_diff"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This a bit experimental but can be useful nonetheless (open a graphical interface)\n",
+    "\n",
+    "```python\n",
+    "compare(s1_diff.arr1, s2_diff.arr1)\n",
+    "```"
+   ]
+  }
+ ],
+ "metadata": {
+  "celltoolbar": "Edit Metadata",
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 79c3695923f31f4125f2bdbbf8d16b0aa9be4737 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 2 Feb 2018 15:47:08 +0100
Subject: [PATCH 877/899] edited tutorial notebook metadata to prepare it to be
 run as interactive slideshow using RISE (see
 https://github.com/binder-examples/jupyter-rise)

---
 binder/environment.yml             | 3 +++
 doc/source/tutorial/tutorial.ipyml | 3 +++
 doc/source/tutorial/tutorial.ipynb | 4 ++++
 3 files changed, 10 insertions(+)

diff --git a/binder/environment.yml b/binder/environment.yml
index b69eda049..b15f592c8 100644
--- a/binder/environment.yml
+++ b/binder/environment.yml
@@ -1,5 +1,6 @@
 name: larray-binder
 channels:
+  - damianavila82    # rise
   - conda-forge
   - defaults
 dependencies:
@@ -7,4 +8,6 @@ dependencies:
   - pandas
   - matplotlib
   - pytables
+  - bokeh
+  - rise
   - larray
diff --git a/doc/source/tutorial/tutorial.ipyml b/doc/source/tutorial/tutorial.ipyml
index d90765974..ac718f925 100644
--- a/doc/source/tutorial/tutorial.ipyml
+++ b/doc/source/tutorial/tutorial.ipyml
@@ -1499,6 +1499,9 @@ metadata:
     nbconvert_exporter: python
     pygments_lexer: ipython3
     version: 3.6.3
+  livereveal:
+    autolaunch: true
+    scroll: true
 nbformat: 4
 nbformat_minor: 2
 
diff --git a/doc/source/tutorial/tutorial.ipynb b/doc/source/tutorial/tutorial.ipynb
index c6eb918df..fd9d644df 100644
--- a/doc/source/tutorial/tutorial.ipynb
+++ b/doc/source/tutorial/tutorial.ipynb
@@ -2472,6 +2472,10 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.6.3"
+  },
+  "livereveal": {
+   "autolaunch": true,
+   "scroll": true
   }
  },
  "nbformat": 4,

From 77cfda4f7ab38ca1cf7b09cdf828ab521ca877be Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 11:26:09 +0100
Subject: [PATCH 878/899] fix #535 : allowed stack function to accept a Group
 as axis argument

---
 doc/source/changes/version_0_28.rst.inc | 11 ++-
 larray/core/array.py                    | 93 +++++++++++++------------
 2 files changed, 60 insertions(+), 44 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 7409aed64..2176ac7ff 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -196,13 +196,22 @@ Miscellaneous improvements
            F  -0.5   1.0   0.5
 
 * function `ndrange` has been deprecated in favor of `sequence` or `ndtest`.
-  Also, an Axis or a list/tuple/collection of axes can be passed to the `ndtest` function (closes:issue:`534`):
+  Also, an Axis or a list/tuple/collection of axes can be passed to the `ndtest` function (closes :issue:`534`):
 
     >>> ndtest("nat=BE,FO;sex=M,F")
     nat\sex  M  F
          BE  0  1
          FO  2  3
 
+* allowed to pass a group for argument `axis` of `stack` function (closes :issue:`535`):
+
+    >>> b = Axis('b=b0..b2')
+    >>> stack(b0=ndtest(2), b1=ndtest(2), axis=b[:'b1'])
+    a\b  b0  b1
+     a0   0   0
+     a1   1   1
+
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 3ba76543d..ee08ef270 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -7778,7 +7778,7 @@ def stack(elements=None, axis=None, title='', **kwargs):
 
         Stacking sessions will return a new session containing the arrays of all sessions stacked together. An array
         missing in a session will be replaced by NaN.
-    axis : str or Axis, optional
+    axis : str or Axis or Group, optional
         Axis to create. If None, defaults to a range() axis.
     title : str, optional
         Title.
@@ -7792,67 +7792,72 @@ def stack(elements=None, axis=None, title='', **kwargs):
     --------
     >>> nat = Axis('nat=BE,FO')
     >>> sex = Axis('sex=M,F')
-    >>> arr1 = ones(nat)
+    >>> arr1 = ones(sex)
     >>> arr1
-    nat   BE   FO
+    sex    M    F
          1.0  1.0
-    >>> arr2 = zeros(nat)
+    >>> arr2 = zeros(sex)
     >>> arr2
-    nat   BE   FO
+    sex    M    F
          0.0  0.0
 
-    In the case the axis to create has already been defined in a variable
+    In the case the axis to create has already been defined in a variable (Axis or Group)
 
-    >>> stack({'M': arr1, 'F': arr2}, sex)
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
+    >>> stack({'BE': arr1, 'FO': arr2}, nat)
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
+    >>> all_nat = Axis('nat=BE,DE,FR,NL,UK')
+    >>> stack({'BE': arr1, 'DE': arr2}, all_nat[:'DE'])
+    sex\\nat   BE   DE
+          M  1.0  0.0
+          F  1.0  0.0
 
     Otherwise (when one wants to create an axis from scratch), any of these syntaxes works:
 
-    >>> stack([arr1, arr2], 'sex=M,F')
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
-    >>> stack({'M': arr1, 'F': arr2}, 'sex=M,F')
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
-    >>> stack([('M', arr1), ('F', arr2)], 'sex')
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
+    >>> stack([arr1, arr2], 'nat=BE,FO')
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
+    >>> stack({'BE': arr1, 'FO': arr2}, 'nat=BE,FO')
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
+    >>> stack([('BE', arr1), ('FO', arr2)], 'nat=BE,FO')
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
 
     When stacking arrays with different axes, the result has the union of all axes present:
 
-    >>> stack({'M': arr1, 'F': 0}, sex)
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
+    >>> stack({'BE': arr1, 'FO': 0}, nat)
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
 
     Creating an axis without name nor labels can be done using:
 
     >>> stack((arr1, arr2))
-    nat\\{1}*    0    1
-          BE  1.0  0.0
-          FO  1.0  0.0
+    sex\\{1}*    0    1
+           M  1.0  0.0
+           F  1.0  0.0
 
     When labels are "simple" strings (ie no integers, no string starting with integers, etc.), using keyword
     arguments can be an attractive alternative.
 
-    >>> stack(F=arr2, M=arr1, axis=sex)
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
+    >>> stack(FO=arr2, BE=arr1, axis=nat)
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
 
     Without passing an explicit order for labels (or an axis object like above), it should only be used on Python 3.6
     or later because keyword arguments are NOT ordered on earlier Python versions.
 
     >>> # use this only on Python 3.6 and later
-    >>> stack(M=arr1, F=arr2, axis='sex')   # doctest: +SKIP
-    nat\\sex    M    F
-         BE  1.0  0.0
-         FO  1.0  0.0
+    >>> stack(BE=arr1, FO=arr2, axis='nat')   # doctest: +SKIP
+    sex\\nat   BE   FO
+          M  1.0  0.0
+          F  1.0  0.0
 
     To stack sessions, let us first create two test sessions. For example suppose we have a session storing the results
     of a baseline simulation:
@@ -7870,18 +7875,20 @@ def stack(elements=None, axis=None, title='', **kwargs):
     >>> stacked
     Session(arr1, arr2)
     >>> stacked.arr1
-    nat\sessions  baseline  variant
-              BE       1.0      1.5
-              FO       1.0      1.5
+    sex\sessions  baseline  variant
+               M       1.0      1.5
+               F       1.0      1.5
     >>> stacked.arr2
-    nat\sessions  baseline  variant
-              BE       0.0      0.5
-              FO       0.0      0.5
+    sex\sessions  baseline  variant
+               M       0.0      0.5
+               F       0.0      0.5
     """
     from larray import Session
 
     if isinstance(axis, str) and '=' in axis:
         axis = Axis(axis)
+    if isinstance(axis, Group):
+        axis = Axis(axis)
     if elements is None:
         if not isinstance(axis, Axis) and sys.version_info[:2] < (3, 6):
             raise TypeError("axis argument should provide label order when using keyword arguments on Python < 3.6")

From 23da810133679524e976080761744a694586a50f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 12:10:58 +0100
Subject: [PATCH 879/899] added argument 'arg_converter' to decorator
 deprecate_kwarg

---
 larray/util/misc.py | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/larray/util/misc.py b/larray/util/misc.py
index 76ec38332..c9af0feec 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -631,8 +631,8 @@ def wrapper(*args, **kwargs):
     return wrapper
 
 # deprecate_kwarg is derived from pandas.util._decorators (0.21)
-def deprecate_kwarg(old_arg_name, new_arg_name, mapping=None, stacklevel=2):
-    if not isinstance(mapping, dict):
+def deprecate_kwarg(old_arg_name, new_arg_name, mapping=None, arg_converter=None, stacklevel=2):
+    if mapping is not None and not isinstance(mapping, dict):
         raise TypeError("mapping from old to new argument values must be dict!")
     def _deprecate_kwarg(func):
         @wraps(func)
@@ -641,13 +641,13 @@ def wrapper(*args, **kwargs):
             if old_arg_value is not None:
                 if mapping is not None:
                     new_arg_value = mapping.get(old_arg_value, old_arg_value)
-                    msg = "The {old_name}={old_val!r} keyword is deprecated, use {new_name}={new_val!r} instead"\
-                        .format(old_name=old_arg_name, old_val=old_arg_value, new_name=new_arg_name,
-                                new_val=new_arg_value)
+                elif arg_converter is not None:
+                    new_arg_value = arg_converter(old_arg_value)
                 else:
                     new_arg_value = old_arg_value
-                    msg = "The '{old_name}' keyword is deprecated, use '{new_name}' instead"\
-                        .format(old_name=old_arg_name, new_name=new_arg_name)
+                msg = "The {old_name}={old_val!r} keyword is deprecated, use {new_name}={new_val!r} instead"\
+                    .format(old_name=old_arg_name, old_val=old_arg_value, new_name=new_arg_name,
+                            new_val=new_arg_value)
 
                 warnings.warn(msg, FutureWarning, stacklevel=stacklevel)
                 if new_arg_name in kwargs:

From 4ea5f3b167d1166747b34690733e1d991d9aa33d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 11:33:31 +0100
Subject: [PATCH 880/899] fix #548 : renamed 'nb_index' arg of read_XXX +
 from_lists + from_string functions as 'nb_axes'

note: nb_axes = nb_index + 1
---
 doc/source/changes/version_0_28.rst.inc |  23 ++++++
 larray/inout/array.py                   | 104 ++++++++++++++----------
 larray/tests/test_array.py              |   4 +-
 3 files changed, 85 insertions(+), 46 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 2176ac7ff..a5ecea095 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -212,6 +212,29 @@ Miscellaneous improvements
      a1   1   1
 
 
+* renamed argument `nb_index` of `read_csv`, `read_excel`, `read_sas`, `from_lists` and `from_string` functions
+  as `nb_axes`. The relation between `nb_index` and `nb_axes` is given by `nb_axes = nb_index + 1`:
+
+  For a given file 'arr.csv' with content ::
+
+  a,b\c,c0,c1
+  a0,b0,0,1
+  a0,b1,2,3
+  a1,b0,4,5
+  a1,b1,6,7
+
+  previous code to read this array such as :
+
+    >>> # deprecated
+    >>> arr = read_csv('arr.csv', nb_index=2)
+
+  must be updated as follow :
+
+    >>> arr = read_csv('arr.csv', nb_axes=3)
+
+  Closes :issue:`548`:
+
+
 Fixes
 -----
 
diff --git a/larray/inout/array.py b/larray/inout/array.py
index 45898cf54..a20e67c74 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -10,7 +10,8 @@
 from larray.core.axis import Axis
 from larray.core.array import LArray, ndtest
 from larray.core.group import _translate_sheet_name, _translate_key_hdf
-from larray.util.misc import basestring, skip_comment_cells, strip_rows, csv_open, StringIO, decode, unique
+from larray.util.misc import (basestring, skip_comment_cells, strip_rows, csv_open, StringIO, decode, unique,
+                              deprecate_kwarg)
 
 try:
     import xlwings as xw
@@ -248,7 +249,8 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
                           unfold_last_axis_name=unfold_last_axis_name, **kwargs)
 
 
-def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headersep=None, fill_value=np.nan,
+@deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
+def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headersep=None, fill_value=np.nan,
              na=np.nan, sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
     """
     Reads csv file and returns an array with the contents.
@@ -267,10 +269,13 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
     ----------
     filepath_or_buffer : str or any file-like object
         Path where the csv file has to be read or a file handle.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4).
+    nb_axes : int, optional
+        Number of axes of output array. The first `nb_axes` - 1 columns and the header of the CSV file will be used
+        to set the axes of the output array. If not specified, the number of axes is given by the position of the
+        column header including the character `\` plus one. If no column header includes the character `\`, the array
+        is assumed to have one axis. Defaults to None.
     index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]).
+        Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3]). Defaults to None (see nb_axes above).
     sep : str, optional
         Separator.
     headersep : str or None, optional
@@ -309,7 +314,7 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
          FO  3  2
     >>> fname = 'no_axis_name.csv'
     >>> a.to_csv(fname, dialect='classic')
-    >>> read_csv(fname, nb_index=1)
+    >>> read_csv(fname, nb_axes=2)
     nat\\{1}  M  F
          BE  0  1
          FO  2  3
@@ -328,18 +333,18 @@ def read_csv(filepath_or_buffer, nb_index=None, index_col=None, sep=',', headers
             line_stream = skip_comment_cells(strip_rows(reader))
             axes_names = next(line_stream)
 
-        if nb_index is not None or index_col is not None:
-            raise ValueError("nb_index and index_col are not compatible with dialect='liam2'")
+        if nb_axes is not None or index_col is not None:
+            raise ValueError("nb_axes and index_col are not compatible with dialect='liam2'")
         if len(axes_names) > 1:
-            nb_index = len(axes_names) - 1
+            nb_axes = len(axes_names)
         # use the second data line for column headers (excludes comments and blank lines before counting)
         kwargs['header'] = 1
         kwargs['comment'] = '#'
 
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
+    if nb_axes is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_axes and index_col")
+    elif nb_axes is not None:
+        index_col = list(range(nb_axes - 1))
     elif isinstance(index_col, int):
         index_col = [index_col]
 
@@ -422,7 +427,8 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, parse_header=False)
 
 
-def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan,
+@deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
+def read_excel(filepath, sheetname=0, nb_axes=None, index_col=None, fill_value=np.nan, na=np.nan,
                sort_rows=False, sort_columns=False, engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
@@ -434,10 +440,13 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
     sheetname : str, Group or int, optional
         Name or index of the Excel sheet containing the array to be read.
         By default the array is read from the first sheet.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to 1.
+    nb_axes : int, optional
+        Number of axes of output array. The first `nb_axes` - 1 columns and the header of the Excel sheet will be used
+        to set the axes of the output array. If not specified, the number of axes is given by the position of the
+        column header including the character `\` plus one. If no column header includes the character `\`, the array
+        is assumed to have one axis. Defaults to None.
     index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Default to [0].
+        Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3]). Defaults to None (see nb_axes above).
     fill_value : scalar or LArray, optional
         Value used to fill cells corresponding to label combinations which are not present in the input.
         Defaults to NaN.
@@ -461,10 +470,10 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
     if engine is None:
         engine = 'xlwings' if xw is not None else None
 
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
+    if nb_axes is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_axes and index_col")
+    elif nb_axes is not None:
+        index_col = list(range(nb_axes - 1))
     elif isinstance(index_col, int):
         index_col = [index_col]
 
@@ -482,23 +491,24 @@ def read_excel(filepath, sheetname=0, nb_index=None, index_col=None, fill_value=
                            fill_value=fill_value)
 
 
-def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.nan, sort_rows=False, sort_columns=False,
+@deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
+def read_sas(filepath, nb_axes=None, index_col=None, fill_value=np.nan, na=np.nan, sort_rows=False, sort_columns=False,
              **kwargs):
     """
     Reads sas file and returns an LArray with the contents
-        nb_index: number of leading index columns (e.g. 4)
+        nb_axes: number of axes of the output array
     or
-        index_col: list of columns for the index (e.g. [0, 1, 3])
+        index_col: Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3])
     """
     if not np.isnan(na):
         fill_value = na
         warnings.warn("read_sas `na` argument has been renamed to `fill_value`. Please use that instead.",
                       FutureWarning, stacklevel=2)
 
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
+    if nb_axes is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_axes and index_col")
+    elif nb_axes is not None:
+        index_col = list(range(nb_axes - 1))
     elif isinstance(index_col, int):
         index_col = [index_col]
 
@@ -506,7 +516,8 @@ def read_sas(filepath, nb_index=None, index_col=None, fill_value=np.nan, na=np.n
     return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value)
 
 
-def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows=False, sort_columns=False):
+@deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
+def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=False, sort_columns=False):
     """
     initialize array from a list of lists (lines)
 
@@ -514,11 +525,13 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
     ----------
     data : sequence (tuple, list, ...)
         Input data. All data is supposed to already have the correct type (e.g. strings are not parsed).
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
+    nb_axes : int, optional
+        Number of axes of output array. The first `nb_axes` - 1 columns and the header will be used
+        to set the axes of the output array. If not specified, the number of axes is given by the position of the
+        column header including the character `\` plus one. If no column header includes the character `\`, the array
+        is assumed to have one axis. Defaults to None.
     index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+        Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3]). Defaults to None (see nb_axes above).
     fill_value : scalar or LArray, optional
         Value used to fill cells corresponding to label combinations which are not present in the input.
         Defaults to NaN.
@@ -556,7 +569,7 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
     >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
     ...             [  'M', 'BE',     1,    0,    0],
     ...             [  'M', 'FO',     2,    0,    0],
-    ...             [  'F', 'BE',     0,    0,    1]], nb_index=2)
+    ...             [  'F', 'BE',     0,    0,    1]], nb_axes=3)
     sex  nat\\{2}  1991  1992  1993
       M       BE   1.0   0.0   0.0
       M       FO   2.0   0.0   0.0
@@ -572,10 +585,10 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
       F        BE     0     0     1
       F        FO    42    42    42
     """
-    if nb_index is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_index and index_col")
-    elif nb_index is not None:
-        index_col = list(range(nb_index))
+    if nb_axes is not None and index_col is not None:
+        raise ValueError("cannot specify both nb_axes and index_col")
+    elif nb_axes is not None:
+        index_col = list(range(nb_axes - 1))
     elif isinstance(index_col, int):
         index_col = [index_col]
 
@@ -587,18 +600,21 @@ def from_lists(data, nb_index=None, index_col=None, fill_value=np.nan, sort_rows
                        fill_value=fill_value)
 
 
-def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
+@deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
+def from_string(s, nb_axes=None, index_col=None, sep=' ', **kwargs):
     """Create an array from a multi-line string.
 
     Parameters
     ----------
     s : str
         input string.
-    nb_index : int, optional
-        Number of leading index columns (ex. 4). Defaults to None, in which case it guesses the number of index columns
-        by using the position of the first '\' in the first line.
+    nb_axes : int, optional
+        Number of axes of output array. The first `nb_axes` - 1 columns and the header will be used
+        to set the axes of the output array. If not specified, the number of axes is given by the position of the
+        column header including the character `\` plus one. If no column header includes the character `\`, the array
+        is assumed to have one axis. Defaults to None.
     index_col : list, optional
-        List of columns for the index (ex. [0, 1, 2, 3]). Defaults to None (see nb_index above).
+        Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3]). Defaults to None (see nb_axes above).
     sep : str
         delimiter used to split each line into cells.
     \**kwargs
@@ -654,4 +670,4 @@ def from_string(s, nb_index=None, index_col=None, sep=' ', **kwargs):
          BE  0  1
          FO  2  3
     """
-    return read_csv(StringIO(s), nb_index=nb_index, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
+    return read_csv(StringIO(s), nb_axes=nb_axes, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index ff6042955..c6a218c89 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2720,7 +2720,7 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['time'])
         assert_array_equal(la, [3722, 3395, 3347])
 
-        la = read_excel(inputpath('test.xlsx'), '2d', nb_index=1, engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '2d', nb_axes=2, engine='xlrd')
         self.assertEqual(la.ndim, 2)
         self.assertEqual(la.shape, (5, 3))
         self.assertEqual(la.axes.names, ['age', 'time'])
@@ -2744,7 +2744,7 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-        la = read_excel(inputpath('test.xlsx'), '5d', nb_index=4, engine='xlrd')
+        la = read_excel(inputpath('test.xlsx'), '5d', nb_axes=5, engine='xlrd')
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])

From f6504dd322df0b2d252264458698a04bffe1a50f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 17:12:18 +0100
Subject: [PATCH 881/899] fix #575 and fix #371 : renamed argument 'transpose'
 of to_csv as 'wide' + added argument 'wide' to to_excel

---
 doc/source/changes/version_0_28.rst.inc | 35 ++++++++++++++++++-
 larray/core/array.py                    | 46 +++++++++++++++----------
 larray/tests/test_array.py              | 23 ++++++++++++-
 3 files changed, 84 insertions(+), 20 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index a5ecea095..4671da090 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -211,7 +211,6 @@ Miscellaneous improvements
      a0   0   0
      a1   1   1
 
-
 * renamed argument `nb_index` of `read_csv`, `read_excel`, `read_sas`, `from_lists` and `from_string` functions
   as `nb_axes`. The relation between `nb_index` and `nb_axes` is given by `nb_axes = nb_index + 1`:
 
@@ -234,6 +233,40 @@ Miscellaneous improvements
 
   Closes :issue:`548`:
 
+* renamed argument `transpose` by `wide` in `to_csv` method.
+
+* added argument `wide` in `to_excel` method. When argument `wide` is set to False, the array is exported
+  in "narrow" format, i.e. one column per axis plus one value column:
+
+    >>> arr = ndtest((2, 3))
+    >>> arr
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+
+  Default behavior (`wide=True`):
+
+    >>> arr.to_excel('my_file.xlsx')
+
+    a\b  b0  b1  b2
+    a0    0   1   2
+    a1    3   4   5
+
+  With `wide=False`:
+
+    >>> arr.to_excel('my_file.xlsx', wide=False)
+
+     a   b  value
+    a0  b0      0
+    a0  b1      1
+    a0  b2      2
+    a1  b0      3
+    a1  b1      4
+    a1  b2      5
+
+  Argument `transpose` has a different purpose than `wide` and is mainly useful to allow multiple axes as header
+  when exporting arrays with more than 2 dimensions. Closes :issue:`575` and :issue:`371`.
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index ee08ef270..a53d0902c 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5816,7 +5816,8 @@ def clip(self, a_min, a_max, out=None):
         from larray.core.ufuncs import clip
         return clip(self, a_min, a_max, out)
 
-    def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dialect='default', **kwargs):
+    @deprecate_kwarg('transpose', 'wide')
+    def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='default', **kwargs):
         """
         Writes array to a csv file.
 
@@ -5824,15 +5825,16 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dial
         ----------
         filepath : str
             path where the csv file has to be written.
-        sep : str
-            seperator for the csv file.
-        na_rep : str
-            replace NA values with na_rep.
-        transpose : boolean
-            transpose = True  => transpose over last axis.
-            transpose = False => no transpose.
-        dialect : 'default' | 'classic'
-            Whether or not to write the last axis name (using '\' )
+        sep : str, optional
+            separator for the csv file. Defaults to `,`.
+        na_rep : str, optional
+            replace NA values with na_rep. Defaults to ''.
+        wide : boolean, optional
+            Whether or not writing arrays in "wide" format. If True, arrays are exported with the last axis
+            represented horizontally. If False, arrays are exported in "narrow" format: one column per axis plus one
+            value column. Defaults to True.
+        dialect : 'default' | 'classic', optional
+            Whether or not to write the last axis name (using '\' ). Defaults to 'default'.
         dropna : None, 'all', 'any' or True, optional
             Drop lines if 'all' its values are NA, if 'any' value is NA or do not drop any line (default).
             True is equivalent to 'all'.
@@ -5852,7 +5854,7 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dial
         nat\\sex,M,F
         BE,0,1
         FO,2,3
-        >>> a.to_csv(fname, sep=';', transpose=False)
+        >>> a.to_csv(fname, sep=';', wide=False)
         >>> with open(fname) as f:
         ...     print(f.read().strip())
         nat;sex;0
@@ -5868,7 +5870,7 @@ def to_csv(self, filepath, sep=',', na_rep='', transpose=True, dropna=None, dial
         FO,2,3
         """
         fold = dialect == 'default'
-        if transpose:
+        if wide:
             frame = self.to_frame(fold, dropna)
             frame.to_csv(filepath, sep=sep, na_rep=na_rep, **kwargs)
         else:
@@ -5900,7 +5902,7 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
     def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file=False, clear_sheet=False,
-                 header=True, transpose=False, engine=None, *args, **kwargs):
+                 header=True, transpose=False, wide=True, engine=None, *args, **kwargs):
         """
         Writes array in the specified sheet of specified excel workbook.
 
@@ -5923,8 +5925,12 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
         header : bool, optional
             Whether or not to write a header (axes names and labels). Defaults to True.
         transpose : bool, optional
-            Whether or not to transpose the resulting array. This can be used, for example, for writing one dimensional
-            arrays vertically. Defaults to False.
+            Whether or not to transpose the array transpose over last axis.
+            This is equivalent to paste with option transpose in Excel. Defaults to False.
+        wide : boolean, optional
+            Whether or not writing arrays in "wide" format. If True, arrays are exported with the last axis
+            represented horizontally. If False, arrays are exported in "narrow" format: one column per axis plus one
+            value column. Defaults to True.
         engine : 'xlwings' | 'openpyxl' | 'xlsxwriter' | 'xlwt' | None, optional
             Engine to use to make the output. If None (default), it will use 'xlwings' by default if the module is
             installed and relies on Pandas default writer otherwise.
@@ -5943,7 +5949,11 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
         """
         sheet_name = _translate_sheet_name(sheet_name)
 
-        df = self.to_frame(fold_last_axis_name=True)
+        if wide:
+            pd_obj = self.to_frame(fold_last_axis_name=True)
+        else:
+            pd_obj = self.to_series()
+
         if engine is None:
             engine = 'xlwings' if xw is not None else None
 
@@ -5977,7 +5987,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
                 sheet = wb.sheets.add(sheet_name, after=wb.sheets[-1])
 
             options = dict(header=header, index=header, transpose=transpose)
-            sheet[position].options(**options).value = df
+            sheet[position].options(**options).value = pd_obj
             # TODO: implement transpose via/in dump
             # sheet[position] = self.dump(header=header, transpose=transpose)
             if close:
@@ -5988,7 +5998,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
                 sheet_name = 'Sheet1'
             # TODO: implement position in this case
             # startrow, startcol
-            df.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
+            pd_obj.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
 
     def to_clipboard(self, *args, **kwargs):
         """Sends the content of the array to clipboard.
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index c6a218c89..b1e399377 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3187,7 +3187,8 @@ def test_to_csv(self):
         with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la.to_csv(self.tmp_path('out.csv'), transpose=False)
+        # stacked data (one column containing all the values and another column listing the context of the value)
+        la.to_csv(self.tmp_path('out.csv'), wide=False)
         result = ['arr,age,sex,nat,time,0\n',
                   '1,0,F,1,2007,3722\n',
                   '1,0,F,1,2010,3395\n']
@@ -3217,6 +3218,13 @@ def test_to_excel_xlsxwriter(self):
         res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
+        # fpath/Sheet1/A1
+        # stacked data (one column containing all the values and another column listing the context of the value)
+        a1.to_excel(fpath, wide=False, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
+        stacked_a1 = a1.reshape([a1.a, Axis([0])])
+        assert_array_equal(res, stacked_a1)
+
         # 2D
         a2 = ndtest((2, 3))
 
@@ -3270,6 +3278,13 @@ def test_to_excel_xlsxwriter(self):
         res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
+        # fpath/Sheet1/A1
+        # stacked data (one column containing all the values and another column listing the context of the value)
+        a1.to_excel(fpath, wide=False, engine='xlsxwriter')
+        res = read_excel(fpath, engine='xlrd')
+        stacked_a1 = a1.reshape([a1.a, Axis([0])])
+        assert_array_equal(res, stacked_a1)
+
         # 2D
         a2 = ndtest((2, 3))
 
@@ -3352,6 +3367,12 @@ def test_to_excel_xlwings(self):
         res = read_excel(fpath, engine='xlrd')
         assert_array_equal(res, a1)
 
+        # fpath/Sheet1/A1
+        # stacked data (one column containing all the values and another column listing the context of the value)
+        a1.to_excel(fpath, wide=False, engine='xlwings')
+        res = read_excel(fpath, engine='xlrd')
+        assert_array_equal(res, a1)
+
         # 2D
         a2 = ndtest((2, 3))
 

From 93379fffd448c3897eea784e8ea98c6dced19b53 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 15:03:16 +0100
Subject: [PATCH 882/899] added argument 'name' to to_series

---
 doc/source/changes/version_0_28.rst.inc |  2 ++
 larray/core/array.py                    | 39 +++++++++++++++++++++++--
 2 files changed, 38 insertions(+), 3 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 4671da090..ddd5453e7 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -267,6 +267,8 @@ Miscellaneous improvements
   Argument `transpose` has a different purpose than `wide` and is mainly useful to allow multiple axes as header
   when exporting arrays with more than 2 dimensions. Closes :issue:`575` and :issue:`371`.
 
+* added argument `name` to `to_series` method allowing to set a name to the Pandas Series returned by the method.
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index a53d0902c..7e90bd45b 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -975,12 +975,14 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
         return df
     df = property(to_frame)
 
-    def to_series(self, dropna=False):
+    def to_series(self, name=None, dropna=False):
         """
         Converts LArray into Pandas Series.
 
         Parameters
         ----------
+        name : str, optional
+            Name of the series. Defaults to None.
         dropna : bool, optional.
             False by default.
 
@@ -991,6 +993,10 @@ def to_series(self, dropna=False):
         Examples
         --------
         >>> arr = ndtest((2, 3), dtype=float)
+        >>> arr
+        a\\b   b0   b1   b2
+         a0  0.0  1.0  2.0
+         a1  3.0  4.0  5.0
         >>> arr.to_series() # doctest: +NORMALIZE_WHITESPACE
         a   b
         a0  b0    0.0
@@ -1000,9 +1006,36 @@ def to_series(self, dropna=False):
             b1    4.0
             b2    5.0
         dtype: float64
+
+        Set a name
+
+        >>> arr.to_series('my_name') # doctest: +NORMALIZE_WHITESPACE
+                a   b
+        a0  b0    0.0
+            b1    1.0
+            b2    2.0
+        a1  b0    3.0
+            b1    4.0
+            b2    5.0
+        Name: my_name, dtype: float64
+
+        Drop nan values
+
+        >>> arr['b1'] = np.nan
+        >>> arr
+        a\\b   b0   b1   b2
+         a0  0.0  nan  2.0
+         a1  3.0  nan  5.0
+        >>> arr.to_series(dropna=True) # doctest: +NORMALIZE_WHITESPACE
+        a   b
+        a0  b0    0.0
+            b2    2.0
+        a1  b0    3.0
+            b2    5.0
+        dtype: float64
         """
         index = pd.MultiIndex.from_product([axis.labels for axis in self.axes], names=self.axes.names)
-        series = pd.Series(np.asarray(self).reshape(self.size), index)
+        series = pd.Series(np.asarray(self).reshape(self.size), index, name=name)
         if dropna:
             series.dropna(inplace=True)
         return series
@@ -5874,7 +5907,7 @@ def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='
             frame = self.to_frame(fold, dropna)
             frame.to_csv(filepath, sep=sep, na_rep=na_rep, **kwargs)
         else:
-            series = self.to_series(dropna is not None)
+            series = self.to_series(dropna=dropna is not None)
             series.to_csv(filepath, sep=sep, na_rep=na_rep, header=True, **kwargs)
 
     def to_hdf(self, filepath, key, *args, **kwargs):

From 21b7b8c6be128bcd3d248d41f50648adc8c6cc27 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Mon, 5 Feb 2018 14:41:52 +0100
Subject: [PATCH 883/899] fix #549 : added argument 'value_name' to
 to_csv/excel to set the name of the last column (i.e. the one containing the
 values) when exporting to csv/excel with wide=False

---
 doc/source/changes/version_0_28.rst.inc | 14 +++++++++++++
 larray/core/array.py                    | 28 ++++++++++++++++++-------
 larray/tests/test_array.py              |  7 +++----
 3 files changed, 38 insertions(+), 11 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index ddd5453e7..f789cf1a5 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -269,6 +269,20 @@ Miscellaneous improvements
 
 * added argument `name` to `to_series` method allowing to set a name to the Pandas Series returned by the method.
 
+* added argument `value_name` to `to_csv` and `to_excel` allowing to change the default name ('value') to
+  the column containg the values when the argument `wide` is set to False:
+
+    >>> arr.to_csv('my_file.csv', wide=False, value_name='data')
+    a,b,data
+    a0,b0,0
+    a0,b1,1
+    a0,b2,2
+    a1,b0,3
+    a1,b1,4
+    a1,b2,5
+
+  Closes :issue:`549`.
+
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 7e90bd45b..185927a3b 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5850,7 +5850,7 @@ def clip(self, a_min, a_max, out=None):
         return clip(self, a_min, a_max, out)
 
     @deprecate_kwarg('transpose', 'wide')
-    def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='default', **kwargs):
+    def to_csv(self, filepath, sep=',', na_rep='', wide=True, value_name='value', dropna=None, dialect='default', **kwargs):
         """
         Writes array to a csv file.
 
@@ -5866,6 +5866,9 @@ def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='
             Whether or not writing arrays in "wide" format. If True, arrays are exported with the last axis
             represented horizontally. If False, arrays are exported in "narrow" format: one column per axis plus one
             value column. Defaults to True.
+        value_name : str, optional
+            Name of the column containing the values (last column) in the csv file when `wide=False` (see above).
+            Defaults to 'value'.
         dialect : 'default' | 'classic', optional
             Whether or not to write the last axis name (using '\' ). Defaults to 'default'.
         dropna : None, 'all', 'any' or True, optional
@@ -5890,7 +5893,15 @@ def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='
         >>> a.to_csv(fname, sep=';', wide=False)
         >>> with open(fname) as f:
         ...     print(f.read().strip())
-        nat;sex;0
+        nat;sex;value
+        BE;M;0
+        BE;F;1
+        FO;M;2
+        FO;F;3
+        >>> a.to_csv(fname, sep=';', wide=False, value_name='population')
+        >>> with open(fname) as f:
+        ...     print(f.read().strip())
+        nat;sex;population
         BE;M;0
         BE;F;1
         FO;M;2
@@ -5907,7 +5918,7 @@ def to_csv(self, filepath, sep=',', na_rep='', wide=True, dropna=None, dialect='
             frame = self.to_frame(fold, dropna)
             frame.to_csv(filepath, sep=sep, na_rep=na_rep, **kwargs)
         else:
-            series = self.to_series(dropna=dropna is not None)
+            series = self.to_series(value_name, dropna is not None)
             series.to_csv(filepath, sep=sep, na_rep=na_rep, header=True, **kwargs)
 
     def to_hdf(self, filepath, key, *args, **kwargs):
@@ -5935,7 +5946,7 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
     def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file=False, clear_sheet=False,
-                 header=True, transpose=False, wide=True, engine=None, *args, **kwargs):
+                 header=True, transpose=False, wide=True, value_name='value', engine=None, *args, **kwargs):
         """
         Writes array in the specified sheet of specified excel workbook.
 
@@ -5964,6 +5975,9 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
             Whether or not writing arrays in "wide" format. If True, arrays are exported with the last axis
             represented horizontally. If False, arrays are exported in "narrow" format: one column per axis plus one
             value column. Defaults to True.
+        value_name : str, optional
+            Name of the column containing the values (last column) in the Excel sheet when `wide=False` (see above).
+            Defaults to 'value'.
         engine : 'xlwings' | 'openpyxl' | 'xlsxwriter' | 'xlwt' | None, optional
             Engine to use to make the output. If None (default), it will use 'xlwings' by default if the module is
             installed and relies on Pandas default writer otherwise.
@@ -5985,7 +5999,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
         if wide:
             pd_obj = self.to_frame(fold_last_axis_name=True)
         else:
-            pd_obj = self.to_series()
+            pd_obj = self.to_series(value_name)
 
         if engine is None:
             engine = 'xlwings' if xw is not None else None
@@ -6021,8 +6035,8 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
 
             options = dict(header=header, index=header, transpose=transpose)
             sheet[position].options(**options).value = pd_obj
-            # TODO: implement transpose via/in dump
-            # sheet[position] = self.dump(header=header, transpose=transpose)
+            # TODO: implement wide via/in dump
+            # sheet[position] = self.dump(header=header, wide=wide)
             if close:
                 wb.save()
                 wb.close()
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index b1e399377..beaf1e85b 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3171,7 +3171,6 @@ def test_from_frame(self):
         assert la.axes.names == ['age', 'sex', 'time']
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
-
     def test_to_csv(self):
         la = read_csv(inputpath('test5d.csv'))
         self.assertEqual(la.ndim, 5)
@@ -3189,7 +3188,7 @@ def test_to_csv(self):
 
         # stacked data (one column containing all the values and another column listing the context of the value)
         la.to_csv(self.tmp_path('out.csv'), wide=False)
-        result = ['arr,age,sex,nat,time,0\n',
+        result = ['arr,age,sex,nat,time,value\n',
                   '1,0,F,1,2007,3722\n',
                   '1,0,F,1,2010,3395\n']
         with open(self.tmp_path('out.csv')) as f:
@@ -3222,7 +3221,7 @@ def test_to_excel_xlsxwriter(self):
         # stacked data (one column containing all the values and another column listing the context of the value)
         a1.to_excel(fpath, wide=False, engine='xlsxwriter')
         res = read_excel(fpath, engine='xlrd')
-        stacked_a1 = a1.reshape([a1.a, Axis([0])])
+        stacked_a1 = a1.reshape([a1.a, Axis(['value'])])
         assert_array_equal(res, stacked_a1)
 
         # 2D
@@ -3282,7 +3281,7 @@ def test_to_excel_xlsxwriter(self):
         # stacked data (one column containing all the values and another column listing the context of the value)
         a1.to_excel(fpath, wide=False, engine='xlsxwriter')
         res = read_excel(fpath, engine='xlrd')
-        stacked_a1 = a1.reshape([a1.a, Axis([0])])
+        stacked_a1 = a1.reshape([a1.a, Axis(['value'])])
         assert_array_equal(res, stacked_a1)
 
         # 2D

From 607c76011b980c7735ca199910bca36aefeaa9b3 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 15 Feb 2018 14:23:28 +0100
Subject: [PATCH 884/899] fix #488 : added rtol and atol arguments to
 LArray.equals in order to test equality between two arrays within a relative
 or absolute tolerance

---
 doc/source/changes/version_0_28.rst.inc | 24 +++++++++++++-
 larray/core/array.py                    | 42 ++++++++++++++++++++++---
 2 files changed, 61 insertions(+), 5 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index f789cf1a5..d8c827108 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -231,7 +231,29 @@ Miscellaneous improvements
 
     >>> arr = read_csv('arr.csv', nb_axes=3)
 
-  Closes :issue:`548`:
+  Closes :issue:`548`.
+
+* added the relative tolerance `rtol` and the absolute tolerance `atol` arguments to the `LArray.equals` method.
+  These two arguments can be used to test the equality between two arrays within a given relative or
+  absolute tolerance:
+
+      >>> arr1 = LArray([6., 8.], "a=a0,a1")
+      >>> arr1
+      a   a0   a1
+         6.0  8.0
+      >>> arr2 = LArray([5.999, 8.001], "a=a0,a1")
+      >>> arr2
+      a     a0     a1
+         5.999  8.001
+      >>> arr1.equals(arr2)
+      False
+      >>> # equals returns True if abs(array1 - array2) <= (atol + rtol * abs(array2))
+      >>> arr1.equals(arr2, atol=0.01)
+      True
+      >>> arr1.equals(arr2, rtol=0.01)
+      True
+
+  Closes :issue:`488`.
 
 * renamed argument `transpose` by `wide` in `to_csv` method.
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 185927a3b..2aabc07f3 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5225,7 +5225,7 @@ def __int__(self):
     def __float__(self):
         return self.data.__float__()
 
-    def equals(self, other, nan_equals=False):
+    def equals(self, other, rtol=0, atol=0, nan_equals=False):
         """
         Compares self with another array and returns True if they have the same axes and elements, False otherwise.
 
@@ -5233,6 +5233,10 @@ def equals(self, other, nan_equals=False):
         ----------
         other: LArray-like
             Input array. aslarray() is used on a non-LArray input.
+        rtol : float or int, optional
+            The relative tolerance parameter (see Notes). Defaults to 0.
+        atol : float or int, optional
+            The absolute tolerance parameter (see Notes). Defaults to 0.
         nan_equals: boolean, optional
             Whether or not to consider nan values at the same positions in the two arrays as equal.
             By default, an array containing nan values is never equal to another array, even if that other array
@@ -5244,6 +5248,15 @@ def equals(self, other, nan_equals=False):
         bool
             Returns True if self is equal to other.
 
+        Notes
+        -----
+        For finite values, equals uses the following equation to test whether two values are equal:
+
+            absolute(array1 - array2) <= (atol + rtol * absolute(array2))
+
+        The above equation is not symmetric in array1 and array2, so that equals(array1, array2) might be different
+        from equals(array2, array1) in some rare cases.
+
         Examples
         --------
         >>> arr1 = ndtest((2, 3))
@@ -5261,6 +5274,24 @@ def equals(self, other, nan_equals=False):
         >>> arr1.equals(arr3)
         False
 
+        Test equality between two arrays within a given tolerance range.
+        Return True if absolute(array1 - array2) <= (atol + rtol * absolute(array2)).
+
+        >>> arr1 = LArray([6., 8.], "a=a0,a1")
+        >>> arr1
+        a   a0   a1
+           6.0  8.0
+        >>> arr2 = LArray([5.999, 8.001], "a=a0,a1")
+        >>> arr2
+        a     a0     a1
+           5.999  8.001
+        >>> arr1.equals(arr2)
+        False
+        >>> arr1.equals(arr2, atol=0.01)
+        True
+        >>> arr1.equals(arr2, rtol=0.01)
+        True
+
         Arrays with nan values
 
         >>> arr1 = ndtest((2, 3), dtype=float)
@@ -5283,10 +5314,13 @@ def equals(self, other, nan_equals=False):
             other = aslarray(other)
         except Exception:
             return False
-        if nan_equals:
-            return self.axes == other.axes and all(nan_equal(self, other))
+        if rtol == 0 and atol == 0:
+            if nan_equals:
+                return self.axes == other.axes and all(nan_equal(self, other))
+            else:
+                return self.axes == other.axes and np.array_equal(np.asarray(self), np.asarray(other))
         else:
-            return self.axes == other.axes and np.array_equal(np.asarray(self), np.asarray(other))
+            return self.axes == other.axes and np.allclose(np.asarray(self), np.asarray(other), rtol, atol, nan_equals)
 
     def divnot0(self, other):
         """Divides array by other, but returns 0.0 where other is 0.

From e710e7452c0ece98fee6c7d4401713f4847a12d5 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 21 Feb 2018 14:08:16 +0100
Subject: [PATCH 885/899] fix #587 : renamed argument 'sheetname' of read_excel
 function as 'sheet'

---
 doc/source/changes/version_0_28.rst.inc |  2 ++
 doc/source/tutorial/tutorial.ipyml      |  2 +-
 doc/source/tutorial/tutorial.ipynb      |  2 +-
 larray/inout/array.py                   | 13 +++++++------
 larray/tests/test_array.py              |  4 ++--
 5 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index d8c827108..bfa76bbf2 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -305,6 +305,8 @@ Miscellaneous improvements
 
   Closes :issue:`549`.
 
+* renamed argument `sheetname` of `read_excel` function as `sheet` (closes :issue:`587`).
+
 
 Fixes
 -----
diff --git a/doc/source/tutorial/tutorial.ipyml b/doc/source/tutorial/tutorial.ipyml
index ac718f925..e8023efc2 100644
--- a/doc/source/tutorial/tutorial.ipyml
+++ b/doc/source/tutorial/tutorial.ipyml
@@ -200,7 +200,7 @@ cells:
     or Excel sheets
     
     ```python
-    # loads array from the first sheet if no sheetname is given
+    # loads array from the first sheet if no sheet is given
     pop = read_excel('demography.xlsx', 'pop')
     ```
 
diff --git a/doc/source/tutorial/tutorial.ipynb b/doc/source/tutorial/tutorial.ipynb
index fd9d644df..b05b23a3c 100644
--- a/doc/source/tutorial/tutorial.ipynb
+++ b/doc/source/tutorial/tutorial.ipynb
@@ -315,7 +315,7 @@
     "or Excel sheets\n",
     "\n",
     "```python\n",
-    "# loads array from the first sheet if no sheetname is given\n",
+    "# loads array from the first sheet if no sheet is given\n",
     "pop = read_excel('demography.xlsx', 'pop')\n",
     "```"
    ]
diff --git a/larray/inout/array.py b/larray/inout/array.py
index a20e67c74..052370732 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -428,7 +428,8 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
 
 
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
-def read_excel(filepath, sheetname=0, nb_axes=None, index_col=None, fill_value=np.nan, na=np.nan,
+@deprecate_kwarg('sheetname', 'sheet')
+def read_excel(filepath, sheet=0, nb_axes=None, index_col=None, fill_value=np.nan, na=np.nan,
                sort_rows=False, sort_columns=False, engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
@@ -437,7 +438,7 @@ def read_excel(filepath, sheetname=0, nb_axes=None, index_col=None, fill_value=n
     ----------
     filepath : str
         Path where the Excel file has to be read.
-    sheetname : str, Group or int, optional
+    sheet : str, Group or int, optional
         Name or index of the Excel sheet containing the array to be read.
         By default the array is read from the first sheet.
     nb_axes : int, optional
@@ -465,7 +466,7 @@ def read_excel(filepath, sheetname=0, nb_axes=None, index_col=None, fill_value=n
         warnings.warn("read_excel `na` argument has been renamed to `fill_value`. Please use that instead.",
                       FutureWarning, stacklevel=2)
 
-    sheetname = _translate_sheet_name(sheetname)
+    sheet = _translate_sheet_name(sheet)
 
     if engine is None:
         engine = 'xlwings' if xw is not None else None
@@ -483,10 +484,10 @@ def read_excel(filepath, sheetname=0, nb_axes=None, index_col=None, fill_value=n
                             .format(list(kwargs.keys())[0]))
         from larray.inout.excel import open_excel
         with open_excel(filepath) as wb:
-            return wb[sheetname].load(index_col=index_col, fill_value=fill_value, sort_rows=sort_rows,
-                                      sort_columns=sort_columns)
+            return wb[sheet].load(index_col=index_col, fill_value=fill_value, sort_rows=sort_rows,
+                                  sort_columns=sort_columns)
     else:
-        df = pd.read_excel(filepath, sheetname, index_col=index_col, engine=engine, **kwargs)
+        df = pd.read_excel(filepath, sheet, index_col=index_col, engine=engine, **kwargs)
         return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None,
                            fill_value=fill_value)
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index beaf1e85b..c0199d9b8 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -2675,7 +2675,7 @@ def test_read_excel_xlwings(self):
         self.assertEqual(la.axes.names, ['age', None])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        # passing a Group as sheetname arg
+        # passing a Group as sheet arg
         axis = Axis('dim=1d,2d,3d,5d')
 
         la = read_excel(inputpath('test.xlsx'), axis['1d'])
@@ -2764,7 +2764,7 @@ def test_read_excel_pandas(self):
         self.assertEqual(la.axes.names, ['age', None])
         assert_array_equal(la[0, :], [3722, 3395, 3347])
 
-        # passing a Group as sheetname arg
+        # passing a Group as sheet arg
         axis = Axis('dim=1d,2d,3d,5d')
 
         la = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')

From 8681ff344b53c6271000e9e1969d97f9840dddd7 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 20 Feb 2018 14:24:45 +0100
Subject: [PATCH 886/899] updated read/write unittests --> use ndtest to
 generate data:

- updated CSV test files + test.xlsx

- updated unittests test_read_csv, test_read_excel_pandas, test_read_excel_xlwings and test_to_csv
---
 larray/tests/data/test.xlsx              | Bin 14243 -> 13436 bytes
 larray/tests/data/test1d.csv             |   2 +-
 larray/tests/data/test2d.csv             |   7 +-
 larray/tests/data/test2d_classic.csv     |  10 +-
 larray/tests/data/test3d.csv             |  16 +-
 larray/tests/data/test5d.csv             |  41 -----
 larray/tests/data/testint_labels.csv     |  10 ++
 larray/tests/data/testmissing_values.csv |   5 +
 larray/tests/test_array.py               | 200 +++++++++--------------
 9 files changed, 106 insertions(+), 185 deletions(-)
 delete mode 100644 larray/tests/data/test5d.csv
 create mode 100644 larray/tests/data/testint_labels.csv
 create mode 100644 larray/tests/data/testmissing_values.csv

diff --git a/larray/tests/data/test.xlsx b/larray/tests/data/test.xlsx
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GIT binary patch
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diff --git a/larray/tests/data/test1d.csv b/larray/tests/data/test1d.csv
index b7f741243..16be91619 100644
--- a/larray/tests/data/test1d.csv
+++ b/larray/tests/data/test1d.csv
@@ -1,2 +1,2 @@
-time,2007,2010,2013
+a,a0,a1,a2
 ,0,1,2
diff --git a/larray/tests/data/test2d.csv b/larray/tests/data/test2d.csv
index 99fb4a754..cd6ae8d37 100644
--- a/larray/tests/data/test2d.csv
+++ b/larray/tests/data/test2d.csv
@@ -1,3 +1,4 @@
-a\b,0,1,2
-0,0,1,2
-1,3,4,5
+a\b,b0,b1
+1,0,1
+2,2,3
+3,4,5
diff --git a/larray/tests/data/test2d_classic.csv b/larray/tests/data/test2d_classic.csv
index a007c19a8..a5b63f948 100644
--- a/larray/tests/data/test2d_classic.csv
+++ b/larray/tests/data/test2d_classic.csv
@@ -1,6 +1,4 @@
-age,2007,2010,2013
-0,3722,3395,3347
-1,338,316,323
-2,2878,2791,2822
-3,1121,1037,976
-4,4073,4161,4429
\ No newline at end of file
+a,b0,b1,b2
+a0,0,1,2
+a1,3,4,5
+a2,6,7,8
\ No newline at end of file
diff --git a/larray/tests/data/test3d.csv b/larray/tests/data/test3d.csv
index 993846f6d..7816f5a64 100644
--- a/larray/tests/data/test3d.csv
+++ b/larray/tests/data/test3d.csv
@@ -1,9 +1,7 @@
-age,sex\time,2015,2016,2017
-0,F,0.5,1.5,2.5
-0,M,3.5,4.5,5.5
-1,F,6.5,7.5,8.5
-1,M,9.5,10.5,11.5
-2,F,12.5,13.5,14.5
-2,M,15.5,16.5,17.5
-3,F,18.5,19.5,20.5
-3,M,21.5,22.5,23.5
+a,b\c,c0,c1,c2
+1,b0,0,1,2
+1,b1,3,4,5
+2,b0,6,7,8
+2,b1,9,10,11
+3,b0,12,13,14
+3,b1,15,16,17
diff --git a/larray/tests/data/test5d.csv b/larray/tests/data/test5d.csv
deleted file mode 100644
index 98777ae04..000000000
--- a/larray/tests/data/test5d.csv
+++ /dev/null
@@ -1,41 +0,0 @@
-arr,age,sex,nat\time,2007,2010,2013
-1,0,F,1,3722,3395,3347
-1,0,F,2,338,316,323
-1,0,H,1,2878,2791,2822
-1,0,H,2,1121,1037,976
-1,1,F,1,4073,4161,4429
-1,1,F,2,1561,1463,1467
-1,1,H,1,3507,3741,3366
-1,1,H,2,2052,2052,2118
-1,2,F,1,4807,4868,4852
-1,2,F,2,3785,3508,3172
-1,2,H,1,4464,4692,4839
-1,2,H,2,95,100,103
-1,3,F,1,1135,1023,928
-1,3,F,2,3121,3180,2900
-1,3,H,1,3850,4118,3716
-1,3,H,2,4174,4131,4290
-1,4,F,1,4072,3775,3781
-1,4,F,2,4392,4305,4215
-1,4,H,1,1657,1492,1360
-1,4,H,2,916,973,895
-2,0,F,1,141,135,141
-2,0,F,2,3713,3952,3895
-2,0,H,1,1616,1499,1556
-2,0,H,2,1895,2029,1946
-2,1,F,1,3272,3501,3584
-2,1,F,2,793,725,679
-2,1,H,1,4766,5007,5242
-2,1,H,2,2943,2670,2525
-2,2,F,1,3594,3922,4019
-2,2,F,2,4150,3813,3576
-2,2,H,1,1264,1244,1333
-2,2,H,2,1922,1970,1972
-2,3,F,1,380,400,387
-2,3,F,2,3860,3787,3431
-2,3,H,1,2962,3112,2962
-2,3,H,2,2679,2599,2490
-2,4,F,1,4159,4210,4461
-2,4,F,2,28,27,28
-2,4,H,1,2887,2972,2837
-2,4,H,2,2712,2827,2806
diff --git a/larray/tests/data/testint_labels.csv b/larray/tests/data/testint_labels.csv
new file mode 100644
index 000000000..56d877e39
--- /dev/null
+++ b/larray/tests/data/testint_labels.csv
@@ -0,0 +1,10 @@
+a,b\c,0,1,2
+0,0,0,1,2
+0,1,3,4,5
+0,2,6,7,8
+1,0,9,10,11
+1,1,12,13,14
+1,2,15,16,17
+2,0,18,19,20
+2,1,21,22,23
+2,2,24,25,26
diff --git a/larray/tests/data/testmissing_values.csv b/larray/tests/data/testmissing_values.csv
new file mode 100644
index 000000000..f05c14ea9
--- /dev/null
+++ b/larray/tests/data/testmissing_values.csv
@@ -0,0 +1,5 @@
+a,b\c,c0,c1,c2
+1,b0,0,1,2
+1,b1,3,4,5
+2,b1,9,10,11
+3,b0,12,13,14
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index c0199d9b8..92112aa3f 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -88,6 +88,15 @@ def setUp(self):
         self.small_data = np.arange(30).reshape(2, 15)
         self.small = LArray(self.small_data, axes=(self.sex, self.lipro), title=self.small_title)
 
+        self.io_1d = ndtest(3)
+        self.io_2d = ndtest("a=1..3; b=b0,b1")
+        self.io_3d = ndtest("a=1..3; b=b0,b1; c=c0..c2")
+        self.io_int_labels = ndtest("a=0..2; b=0..2; c=0..2")
+        self.io_unsorted = ndtest("a=3..1; b=b1,b0; c=c2..c0")
+        self.io_missing_values = ndtest("a=1..3; b=b0,b1; c=c0..c2", dtype=float)
+        self.io_missing_values[2, 'b0'] = np.nan
+        self.io_missing_values[3, 'b1'] = np.nan
+
     @pytest.fixture(autouse=True)
     def setup(self, tmpdir):
         self.tmpdir = tmpdir.strpath
@@ -2590,27 +2599,19 @@ def test_from_string(self):
 
     def test_read_csv(self):
         res = read_csv(inputpath('test1d.csv'))
-        assert_array_equal(res, ndtest('time=2007,2010,2013'))
+        assert_array_equal(res, self.io_1d)
 
         res = read_csv(inputpath('test2d.csv'))
-        assert_array_equal(res, ndtest('a=0,1;b=0,1,2'))
+        assert_array_equal(res, self.io_2d)
 
         res = read_csv(inputpath('test3d.csv'))
-        expected = ndtest('age=0..3;sex=F,M;time=2015..2017') + 0.5
-        assert_array_equal(res, expected)
+        assert_array_equal(res, self.io_3d)
 
-        la = read_csv(inputpath('test5d.csv'))
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        res = read_csv(inputpath('testint_labels.csv'))
+        assert_array_equal(res, self.io_int_labels)
 
-        la = read_csv(inputpath('test2d_classic.csv'))
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', None])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
+        res = read_csv(inputpath('test2d_classic.csv'))
+        assert_array_equal(res, ndtest("a=a0..a2; b0..b2"))
 
         la = read_csv(inputpath('test1d_liam2.csv'), dialect='liam2')
         self.assertEqual(la.ndim, 1)
@@ -2622,8 +2623,11 @@ def test_read_csv(self):
         self.assertEqual(la.ndim, 5)
         self.assertEqual(la.shape, (2, 5, 2, 2, 3))
         self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :], [3722, 3395, 3347])
+
+        # missing values
+        res = read_csv(inputpath('testmissing_values.csv'))
+        assert_array_nan_equal(res, self.io_missing_values)
 
         # test StringIO
         res = read_csv(StringIO('a,1,2\n,0,1\n'))
@@ -2644,53 +2648,32 @@ def test_read_eurostat(self):
 
     @pytest.mark.skipif(xw is None, reason="xlwings is not available")
     def test_read_excel_xlwings(self):
-        la = read_excel(inputpath('test.xlsx'), '1d')
-        self.assertEqual(la.ndim, 1)
-        self.assertEqual(la.shape, (3,))
-        self.assertEqual(la.axes.names, ['time'])
-        assert_array_equal(la, [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '1d')
+        assert_array_equal(arr, self.io_1d)
 
-        la = read_excel(inputpath('test.xlsx'), '2d')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', 'time'])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '2d')
+        assert_array_equal(arr, self.io_2d)
 
-        la = read_excel(inputpath('test.xlsx'), '3d')
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (5, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '3d')
+        assert_array_equal(arr, self.io_3d)
 
-        la = read_excel(inputpath('test.xlsx'), '5d')
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), 'int_labels')
+        assert_array_equal(arr, self.io_int_labels)
 
-        la = read_excel(inputpath('test.xlsx'), '2d_classic')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', None])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '2d_classic')
+        assert_array_equal(arr, ndtest("a=a0..a2; b0..b2"))
 
         # passing a Group as sheet arg
         axis = Axis('dim=1d,2d,3d,5d')
 
-        la = read_excel(inputpath('test.xlsx'), axis['1d'])
-        self.assertEqual(la.ndim, 1)
-        self.assertEqual(la.shape, (3,))
-        self.assertEqual(la.axes.names, ['time'])
-        assert_array_equal(la, [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), axis['1d'])
+        assert_array_equal(arr, ndtest(3))
 
-        # fill_value argument
-        la = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42)
-        assert la.ndim == 3
-        assert la.shape == (5, 2, 3)
-        assert la.axes.names == ['age', 'sex', 'time']
-        assert_array_equal(la[1, 'H', :], [42, 42, 42])
-        assert_array_equal(la[4, 'F', :], [42, 42, 42])
+        # missing rows + fill_value argument
+        arr = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42)
+        expected = self.io_missing_values.copy()
+        expected[isnan(expected)] = 42
+        assert_array_equal(arr, expected)
 
         # invalid keyword argument
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
@@ -2714,64 +2697,38 @@ def test_read_excel_xlwings(self):
         assert_array_equal(bad4, good2)
 
     def test_read_excel_pandas(self):
-        la = read_excel(inputpath('test.xlsx'), '1d', engine='xlrd')
-        self.assertEqual(la.ndim, 1)
-        self.assertEqual(la.shape, (3,))
-        self.assertEqual(la.axes.names, ['time'])
-        assert_array_equal(la, [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '1d', engine='xlrd')
+        assert_array_equal(arr, self.io_1d)
 
-        la = read_excel(inputpath('test.xlsx'), '2d', nb_axes=2, engine='xlrd')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', 'time'])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
-
-        la = read_excel(inputpath('test.xlsx'), '2d', engine='xlrd')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', 'time'])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
-
-        la = read_excel(inputpath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (5, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '2d', nb_axes=2, engine='xlrd')
+        assert_array_equal(arr, self.io_2d)
 
-        la = read_excel(inputpath('test.xlsx'), '3d', engine='xlrd')
-        self.assertEqual(la.ndim, 3)
-        self.assertEqual(la.shape, (5, 2, 3))
-        self.assertEqual(la.axes.names, ['age', 'sex', 'time'])
-        assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '2d', engine='xlrd')
+        assert_array_equal(arr, self.io_2d)
 
-        la = read_excel(inputpath('test.xlsx'), '5d', nb_axes=5, engine='xlrd')
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
+        assert_array_equal(arr, self.io_3d)
 
-        la = read_excel(inputpath('test.xlsx'), '5d', engine='xlrd')
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '3d', engine='xlrd')
+        assert_array_equal(arr, self.io_3d)
+
+        arr = read_excel(inputpath('test.xlsx'), 'int_labels', engine='xlrd')
+        assert_array_equal(arr, self.io_int_labels)
 
-        la = read_excel(inputpath('test.xlsx'), '2d_classic', engine='xlrd')
-        self.assertEqual(la.ndim, 2)
-        self.assertEqual(la.shape, (5, 3))
-        self.assertEqual(la.axes.names, ['age', None])
-        assert_array_equal(la[0, :], [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), '2d_classic', engine='xlrd')
+        assert_array_equal(arr, ndtest("a=a0..a2; b0..b2"))
 
         # passing a Group as sheet arg
         axis = Axis('dim=1d,2d,3d,5d')
 
-        la = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')
-        self.assertEqual(la.ndim, 1)
-        self.assertEqual(la.shape, (3,))
-        self.assertEqual(la.axes.names, ['time'])
-        assert_array_equal(la, [3722, 3395, 3347])
+        arr = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')
+        assert_array_equal(arr, ndtest(3))
+
+        # missing rows + fill_value argument
+        arr = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42, engine='xlrd')
+        expected = self.io_missing_values.copy()
+        expected[isnan(expected)] = 42
+        assert_array_equal(arr, expected)
 
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = inputpath('test_blank_cells.xlsx')
@@ -3172,31 +3129,26 @@ def test_from_frame(self):
         assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
 
     def test_to_csv(self):
-        la = read_csv(inputpath('test5d.csv'))
-        self.assertEqual(la.ndim, 5)
-        self.assertEqual(la.shape, (2, 5, 2, 2, 3))
-        self.assertEqual(la.axes.names, ['arr', 'age', 'sex', 'nat', 'time'])
-        assert_array_equal(la[X.arr[1], 0, 'F', X.nat[1], :],
-                           [3722, 3395, 3347])
+        arr = self.io_3d.copy()
 
-        la.to_csv(self.tmp_path('out.csv'))
-        result = ['arr,age,sex,nat\\time,2007,2010,2013\n',
-                  '1,0,F,1,3722,3395,3347\n',
-                  '1,0,F,2,338,316,323\n']
+        arr.to_csv(self.tmp_path('out.csv'))
+        result = ['a,b\\c,c0,c1,c2\n',
+                  '1,b0,0,1,2\n',
+                  '1,b1,3,4,5\n']
         with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
         # stacked data (one column containing all the values and another column listing the context of the value)
-        la.to_csv(self.tmp_path('out.csv'), wide=False)
-        result = ['arr,age,sex,nat,time,value\n',
-                  '1,0,F,1,2007,3722\n',
-                  '1,0,F,1,2010,3395\n']
+        arr.to_csv(self.tmp_path('out.csv'), wide=False)
+        result = ['a,b,c,value\n',
+                  '1,b0,c0,0\n',
+                  '1,b0,c1,1\n']
         with open(self.tmp_path('out.csv')) as f:
             self.assertEqual(f.readlines()[:3], result)
 
-        la = ndtest([Axis('time=2015..2017')])
-        la.to_csv(self.tmp_path('test_out1d.csv'))
-        result = ['time,2015,2016,2017\n',
+        arr = self.io_1d.copy()
+        arr.to_csv(self.tmp_path('test_out1d.csv'))
+        result = ['a,a0,a1,a2\n',
                   ',0,1,2\n']
         with open(self.tmp_path('test_out1d.csv')) as f:
             self.assertEqual(f.readlines(), result)
@@ -3521,11 +3473,9 @@ def test_open_excel(self):
             assert_array_equal(res.axes[2].labels, a3.axes[2].labels)
 
         with open_excel(inputpath('test.xlsx')) as wb:
+            expected = ndtest("a=a0..a2; b0..b2")
             res = wb['2d_classic'].load()
-            assert res.ndim == 2
-            assert res.shape == (5, 3)
-            assert res.axes.names == ['age', None]
-            assert_array_equal(res[0, :], [3722, 3395, 3347])
+            assert_array_equal(res, expected)
 
         # 3) without headers
         # ==================

From 2f5b0d3f9b613413b369e2c1f21070e24e934f9c Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 16 Feb 2018 15:37:29 +0100
Subject: [PATCH 887/899] fix #574 : added argument 'wide' to read_csv,
 read_excel, from_lists and from_strings functions + and updated df_aslarray
 so as to be able to load arrays stored in narrow format

---
 doc/source/changes/version_0_28.rst.inc       |  11 +
 larray/inout/array.py                         | 200 +++++++++++++-----
 larray/inout/excel.py                         |   8 +-
 larray/tests/data/test1d_narrow.csv           |   4 +
 larray/tests/data/test2d_narrow.csv           |   7 +
 larray/tests/data/test3d_narrow.csv           |  19 ++
 larray/tests/data/test_narrow.xlsx            | Bin 0 -> 12427 bytes
 .../tests/data/testmissing_values_narrow.csv  |  12 ++
 larray/tests/data/testunsorted_narrow.csv     |  19 ++
 larray/tests/test_array.py                    |  84 +++++++-
 10 files changed, 305 insertions(+), 59 deletions(-)
 create mode 100644 larray/tests/data/test1d_narrow.csv
 create mode 100644 larray/tests/data/test2d_narrow.csv
 create mode 100644 larray/tests/data/test3d_narrow.csv
 create mode 100644 larray/tests/data/test_narrow.xlsx
 create mode 100644 larray/tests/data/testmissing_values_narrow.csv
 create mode 100644 larray/tests/data/testunsorted_narrow.csv

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index bfa76bbf2..fa7907f49 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -289,6 +289,17 @@ Miscellaneous improvements
   Argument `transpose` has a different purpose than `wide` and is mainly useful to allow multiple axes as header
   when exporting arrays with more than 2 dimensions. Closes :issue:`575` and :issue:`371`.
 
+* added argument `wide` to `read_csv` and `read_excel` functions. If False, the array to be loaded is assumed to
+  be stored in "narrow" format:
+
+    >>> # assuming the array was saved using command: arr.to_excel('my_file.xlsx', wide=False)
+    >>> read_excel('my_file.xlsx', wide=False)
+    a\b  b0  b1  b2
+     a0   0   1   2
+     a1   3   4   5
+
+  Closes :issue:`574`.
+
 * added argument `name` to `to_series` method allowing to set a name to the Pandas Series returned by the method.
 
 * added argument `value_name` to `to_csv` and `to_excel` allowing to change the default name ('value') to
diff --git a/larray/inout/array.py b/larray/inout/array.py
index 052370732..a609fecdb 100644
--- a/larray/inout/array.py
+++ b/larray/inout/array.py
@@ -186,7 +186,7 @@ def from_frame(df, sort_rows=False, sort_columns=False, parse_header=False, unfo
     return LArray(data, axes)
 
 
-def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, **kwargs):
+def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header=True, wide=True, **kwargs):
     """
     Prepare Pandas DataFrame and then convert it into LArray.
 
@@ -205,6 +205,10 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
     parse_header : bool, optional
         Whether or not to parse columns labels. Pandas treats column labels as strings.
         If True, column labels are converted into int, float or boolean when possible. Defaults to True.
+    wide : bool, optional
+        Whether or not to assume the array is stored in "wide" format.
+        If False, the array is assumed to be stored in "narrow" format: one column per axis plus one value column.
+        Defaults to True.
 
     Returns
     -------
@@ -218,19 +222,37 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
     # irrespective of the actual data dimensionality
     if raw:
         columns = df.columns.values.tolist()
-        try:
-            # take the first column which contains '\'
-            pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
-        except StopIteration:
-            # we assume first column will not contain data
-            pos_last = 0
-
-        # This is required to handle int column names (otherwise we can simply use column positions in set_index).
-        # This is NOT the same as df.columns[list(range(...))] !
-        index_columns = [df.columns[i] for i in range(pos_last + 1)]
-        # TODO: we should pass a flag to df_aslarray so that we can use inplace=True here
-        # df.set_index(index_columns, inplace=True)
-        df = df.set_index(index_columns)
+        if wide:
+            try:
+                # take the first column which contains '\'
+                pos_last = next(i for i, v in enumerate(columns) if isinstance(v, basestring) and '\\' in v)
+            except StopIteration:
+                # we assume first column will not contain data
+                pos_last = 0
+
+            # This is required to handle int column names (otherwise we can simply use column positions in set_index).
+            # This is NOT the same as df.columns[list(range(...))] !
+            index_columns = [df.columns[i] for i in range(pos_last + 1)]
+            df.set_index(index_columns, inplace=True)
+        else:
+            index_columns = [df.columns[i] for i in range(len(df.columns) - 1)]
+            df.set_index(index_columns, inplace=True)
+            series = df[df.columns[-1]]
+            if isinstance(series.index, pd.core.index.MultiIndex):
+                fill_value = kwargs.get('fill_value', np.nan)
+                # TODO: use argument sort=False when it will be available
+                # (see https://github.com/pandas-dev/pandas/issues/15105)
+                df = series.unstack(level=-1, fill_value=fill_value)
+                # pandas (un)stack and pivot(_table) methods return a Dataframe/Series with sorted index and columns
+                labels = df_labels(series, sort=False)
+                index = pd.MultiIndex.from_tuples(list(product(*labels[:-1])), names=series.index.names[:-1])
+                columns = labels[-1]
+                df = df.reindex(index=index, columns=columns, fill_value=fill_value)
+            else:
+                series.name = series.index.name
+                if sort_rows:
+                    raise ValueError('sort_rows=True is not valid for 1D arrays. Please use sort_columns instead.')
+                return from_series(series, sort_rows=sort_columns)
 
     # handle 1D
     if len(df) == 1 and (pd.isnull(df.index.values[0]) or
@@ -249,9 +271,24 @@ def df_aslarray(df, sort_rows=False, sort_columns=False, raw=False, parse_header
                           unfold_last_axis_name=unfold_last_axis_name, **kwargs)
 
 
+def _get_index_col(nb_axes=None, index_col=None, wide=True):
+    if not wide:
+        if nb_axes is not None or index_col is not None:
+            raise ValueError("`nb_axes` or `index_col` argument cannot be used when `wide` argument is False")
+
+    if nb_axes is not None and index_col is not None:
+        raise ValueError("cannot specify both `nb_axes` and `index_col`")
+    elif nb_axes is not None:
+        index_col = list(range(nb_axes - 1))
+    elif isinstance(index_col, int):
+        index_col = [index_col]
+
+    return index_col
+
+
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
 def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headersep=None, fill_value=np.nan,
-             na=np.nan, sort_rows=False, sort_columns=False, dialect='larray', **kwargs):
+             na=np.nan, sort_rows=False, sort_columns=False, wide=True, dialect='larray', **kwargs):
     """
     Reads csv file and returns an array with the contents.
 
@@ -288,6 +325,10 @@ def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headerse
     sort_columns : bool, optional
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
+    wide : bool, optional
+        Whether or not to assume the array is stored in "wide" format.
+        If False, the array is assumed to be stored in "narrow" format: one column per axis plus one value column.
+        Defaults to True.
     dialect : 'classic' | 'larray' | 'liam2', optional
         Name of dialect. Defaults to 'larray'.
     **kwargs
@@ -298,22 +339,54 @@ def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headerse
 
     Examples
     --------
-    >>> from larray import ndrange
     >>> tmpdir = getfixture('tmpdir')
     >>> fname = os.path.join(tmpdir.strpath, 'test.csv')
     >>> a = ndtest('nat=BE,FO;sex=M,F')
-
+    >>> a
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
     >>> a.to_csv(fname)
+    >>> with open(fname) as f:
+    ...     print(f.read().strip())
+    nat\\sex,M,F
+    BE,0,1
+    FO,2,3
     >>> read_csv(fname)
     nat\\sex  M  F
          BE  0  1
          FO  2  3
+
+    Sort columns
+
     >>> read_csv(fname, sort_columns=True)
     nat\\sex  F  M
          BE  1  0
          FO  3  2
-    >>> fname = 'no_axis_name.csv'
+
+    Read array saved in "narrow" format (wide=False)
+
+    >>> a.to_csv(fname, wide=False)
+    >>> with open(fname) as f:
+    ...     print(f.read().strip())
+    nat,sex,value
+    BE,M,0
+    BE,F,1
+    FO,M,2
+    FO,F,3
+    >>> read_csv(fname, wide=False)
+    nat\\sex  M  F
+         BE  0  1
+         FO  2  3
+
+    Specify the number of axes of the output array (useful when the name of the last axis is implicit)
+
     >>> a.to_csv(fname, dialect='classic')
+    >>> with open(fname) as f:
+    ...     print(f.read().strip())
+    nat,M,F
+    BE,0,1
+    FO,2,3
     >>> read_csv(fname, nb_axes=2)
     nat\\{1}  M  F
          BE  0  1
@@ -341,12 +414,7 @@ def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headerse
         kwargs['header'] = 1
         kwargs['comment'] = '#'
 
-    if nb_axes is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_axes and index_col")
-    elif nb_axes is not None:
-        index_col = list(range(nb_axes - 1))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
+    index_col = _get_index_col(nb_axes, index_col, wide)
 
     if headersep is not None:
         if index_col is None:
@@ -369,7 +437,7 @@ def read_csv(filepath_or_buffer, nb_axes=None, index_col=None, sep=',', headerse
         df.index.names = combined_axes_names.split(headersep)
         raw = False
 
-    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, raw=raw)
+    return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value, raw=raw, wide=wide)
 
 
 def read_tsv(filepath_or_buffer, **kwargs):
@@ -430,7 +498,7 @@ def read_hdf(filepath_or_buffer, key, fill_value=np.nan, na=np.nan, sort_rows=Fa
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
 @deprecate_kwarg('sheetname', 'sheet')
 def read_excel(filepath, sheet=0, nb_axes=None, index_col=None, fill_value=np.nan, na=np.nan,
-               sort_rows=False, sort_columns=False, engine=None, **kwargs):
+               sort_rows=False, sort_columns=False, wide=True, engine=None, **kwargs):
     """
     Reads excel file from sheet name and returns an LArray with the contents
 
@@ -456,6 +524,10 @@ def read_excel(filepath, sheet=0, nb_axes=None, index_col=None, fill_value=np.na
     sort_columns : bool, optional
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
+    wide : bool, optional
+        Whether or not to assume the array is stored in "wide" format.
+        If False, the array is assumed to be stored in "narrow" format: one column per axis plus one value column.
+        Defaults to True.
     engine : {'xlrd', 'xlwings'}, optional
         Engine to use to read the Excel file. If None (default), it will use 'xlwings' by default if the module is
         installed and relies on Pandas default reader otherwise.
@@ -471,12 +543,7 @@ def read_excel(filepath, sheet=0, nb_axes=None, index_col=None, fill_value=np.na
     if engine is None:
         engine = 'xlwings' if xw is not None else None
 
-    if nb_axes is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_axes and index_col")
-    elif nb_axes is not None:
-        index_col = list(range(nb_axes - 1))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
+    index_col = _get_index_col(nb_axes, index_col, wide)
 
     if engine == 'xlwings':
         if kwargs:
@@ -485,11 +552,11 @@ def read_excel(filepath, sheet=0, nb_axes=None, index_col=None, fill_value=np.na
         from larray.inout.excel import open_excel
         with open_excel(filepath) as wb:
             return wb[sheet].load(index_col=index_col, fill_value=fill_value, sort_rows=sort_rows,
-                                  sort_columns=sort_columns)
+                                      sort_columns=sort_columns, wide=wide)
     else:
         df = pd.read_excel(filepath, sheet, index_col=index_col, engine=engine, **kwargs)
         return df_aslarray(df, sort_rows=sort_rows, sort_columns=sort_columns, raw=index_col is None,
-                           fill_value=fill_value)
+                           fill_value=fill_value, wide=wide)
 
 
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
@@ -518,7 +585,7 @@ def read_sas(filepath, nb_axes=None, index_col=None, fill_value=np.nan, na=np.na
 
 
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
-def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=False, sort_columns=False):
+def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=False, sort_columns=False, wide=True):
     """
     initialize array from a list of lists (lines)
 
@@ -541,6 +608,10 @@ def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=
     sort_columns : bool, optional
         Whether or not to sort the columns alphabetically (sorting is more efficient than not sorting).
         Defaults to False.
+    wide : bool, optional
+        Whether or not to assume the array is stored in "wide" format.
+        If False, the array is assumed to be stored in "narrow" format: one column per axis plus one value column.
+        Defaults to True.
 
     Returns
     -------
@@ -558,6 +629,9 @@ def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=
     sex\\year  1991  1992  1993
            M     0     1     2
            F     3     4     5
+
+    Read array with missing values + `fill_value` argument
+
     >>> from_lists([['sex', 'nat\\\\year', 1991, 1992, 1993],
     ...             [  'M', 'BE',           1,    0,    0],
     ...             [  'M', 'FO',           2,    0,    0],
@@ -567,6 +641,19 @@ def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=
       M        FO   2.0   0.0   0.0
       F        BE   0.0   0.0   1.0
       F        FO   nan   nan   nan
+
+    >>> from_lists([['sex', 'nat\\\\year', 1991, 1992, 1993],
+    ...             [  'M', 'BE',           1,    0,    0],
+    ...             [  'M', 'FO',           2,    0,    0],
+    ...             [  'F', 'BE',           0,    0,    1]], fill_value=42)
+    sex  nat\\year  1991  1992  1993
+      M        BE     1     0     0
+      M        FO     2     0     0
+      F        BE     0     0     1
+      F        FO    42    42    42
+
+    Specify the number of axes of the array to be read
+
     >>> from_lists([['sex', 'nat', 1991, 1992, 1993],
     ...             [  'M', 'BE',     1,    0,    0],
     ...             [  'M', 'FO',     2,    0,    0],
@@ -576,33 +663,37 @@ def from_lists(data, nb_axes=None, index_col=None, fill_value=np.nan, sort_rows=
       M       FO   2.0   0.0   0.0
       F       BE   0.0   0.0   1.0
       F       FO   nan   nan   nan
-    >>> from_lists([['sex', 'nat\\\\year', 1991, 1992, 1993],
-    ...             [  'M', 'BE',           1,    0,    0],
-    ...             [  'M', 'FO',           2,    0,    0],
-    ...             [  'F', 'BE',           0,    0,    1]], fill_value=42)
+
+    Read array saved in "narrow" format (wide=False)
+
+    >>> from_lists([['sex', 'nat', 'year', 'value'],
+    ...             [  'M', 'BE',  1991,    1     ],
+    ...             [  'M', 'BE',  1992,    0     ],
+    ...             [  'M', 'BE',  1993,    0     ],
+    ...             [  'M', 'FO',  1991,    2     ],
+    ...             [  'M', 'FO',  1992,    0     ],
+    ...             [  'M', 'FO',  1993,    0     ],
+    ...             [  'F', 'BE',  1991,    0     ],
+    ...             [  'F', 'BE',  1992,    0     ],
+    ...             [  'F', 'BE',  1993,    1     ]], wide=False)
     sex  nat\\year  1991  1992  1993
-      M        BE     1     0     0
-      M        FO     2     0     0
-      F        BE     0     0     1
-      F        FO    42    42    42
+      M        BE   1.0   0.0   0.0
+      M        FO   2.0   0.0   0.0
+      F        BE   0.0   0.0   1.0
+      F        FO   nan   nan   nan
     """
-    if nb_axes is not None and index_col is not None:
-        raise ValueError("cannot specify both nb_axes and index_col")
-    elif nb_axes is not None:
-        index_col = list(range(nb_axes - 1))
-    elif isinstance(index_col, int):
-        index_col = [index_col]
+    index_col = _get_index_col(nb_axes, index_col, wide)
 
     df = pd.DataFrame(data[1:], columns=data[0])
     if index_col is not None:
         df.set_index([df.columns[c] for c in index_col], inplace=True)
 
     return df_aslarray(df, raw=index_col is None, parse_header=False, sort_rows=sort_rows, sort_columns=sort_columns,
-                       fill_value=fill_value)
+                       fill_value=fill_value, wide=wide)
 
 
 @deprecate_kwarg('nb_index', 'nb_axes', arg_converter=lambda x: x + 1)
-def from_string(s, nb_axes=None, index_col=None, sep=' ', **kwargs):
+def from_string(s, nb_axes=None, index_col=None, sep=' ', wide=True, **kwargs):
     """Create an array from a multi-line string.
 
     Parameters
@@ -618,6 +709,10 @@ def from_string(s, nb_axes=None, index_col=None, sep=' ', **kwargs):
         Positions of columns for the n-1 first axes (ex. [0, 1, 2, 3]). Defaults to None (see nb_axes above).
     sep : str
         delimiter used to split each line into cells.
+    wide : bool, optional
+        Whether or not to assume the array is stored in "wide" format.
+        If False, the array is assumed to be stored in "narrow" format: one column per axis plus one value column.
+        Defaults to True.
     \**kwargs
         See arguments of Pandas read_csv function.
 
@@ -671,4 +766,5 @@ def from_string(s, nb_axes=None, index_col=None, sep=' ', **kwargs):
          BE  0  1
          FO  2  3
     """
-    return read_csv(StringIO(s), nb_axes=nb_axes, index_col=index_col, sep=sep, skipinitialspace=True, **kwargs)
+    return read_csv(StringIO(s), nb_axes=nb_axes, index_col=index_col, sep=sep, skipinitialspace=True,
+                    wide=wide, **kwargs)
diff --git a/larray/inout/excel.py b/larray/inout/excel.py
index 63418b8f6..7c69f4205 100644
--- a/larray/inout/excel.py
+++ b/larray/inout/excel.py
@@ -418,9 +418,9 @@ def __setattr__(self, key, value):
             setattr(self.xw_sheet, key, value)
 
         def load(self, header=True, convert_float=True, nb_index=None, index_col=None, fill_value=np.nan,
-                 sort_rows=False, sort_columns=False):
+                 sort_rows=False, sort_columns=False, wide=True):
             return self[:].load(header=header, convert_float=convert_float, nb_index=nb_index, index_col=index_col,
-                                sort_rows=sort_rows, sort_columns=sort_columns, fill_value=fill_value)
+                                fill_value=fill_value, sort_rows=sort_rows, sort_columns=sort_columns, wide=wide)
 
         # TODO: generalize to more than 2 dimensions or scrap it
         def array(self, data, row_labels=None, column_labels=None, names=None):
@@ -547,7 +547,7 @@ def __str__(self):
         __repr__ = __str__
 
         def load(self, header=True, convert_float=True, nb_index=None, index_col=None, fill_value=np.nan,
-                 sort_rows=False, sort_columns=False):
+                 sort_rows=False, sort_columns=False, wide=True):
             if not self.ndim:
                 return LArray([])
 
@@ -555,7 +555,7 @@ def load(self, header=True, convert_float=True, nb_index=None, index_col=None, f
 
             if header:
                 return from_lists(list_data, nb_index=nb_index, index_col=index_col, fill_value=fill_value,
-                                  sort_rows=sort_rows, sort_columns=sort_columns)
+                                  sort_rows=sort_rows, sort_columns=sort_columns, wide=wide)
             else:
                 return LArray(list_data)
 
diff --git a/larray/tests/data/test1d_narrow.csv b/larray/tests/data/test1d_narrow.csv
new file mode 100644
index 000000000..eff558a1e
--- /dev/null
+++ b/larray/tests/data/test1d_narrow.csv
@@ -0,0 +1,4 @@
+a,value
+a0,0
+a1,1
+a2,2
diff --git a/larray/tests/data/test2d_narrow.csv b/larray/tests/data/test2d_narrow.csv
new file mode 100644
index 000000000..2f726083e
--- /dev/null
+++ b/larray/tests/data/test2d_narrow.csv
@@ -0,0 +1,7 @@
+a,b,value
+1,b0,0
+1,b1,1
+2,b0,2
+2,b1,3
+3,b0,4
+3,b1,5
diff --git a/larray/tests/data/test3d_narrow.csv b/larray/tests/data/test3d_narrow.csv
new file mode 100644
index 000000000..9e3c75014
--- /dev/null
+++ b/larray/tests/data/test3d_narrow.csv
@@ -0,0 +1,19 @@
+a,b,c,value
+1,b0,c0,0
+1,b0,c1,1
+1,b0,c2,2
+1,b1,c0,3
+1,b1,c1,4
+1,b1,c2,5
+2,b0,c0,6
+2,b0,c1,7
+2,b0,c2,8
+2,b1,c0,9
+2,b1,c1,10
+2,b1,c2,11
+3,b0,c0,12
+3,b0,c1,13
+3,b0,c2,14
+3,b1,c0,15
+3,b1,c1,16
+3,b1,c2,17
diff --git a/larray/tests/data/test_narrow.xlsx b/larray/tests/data/test_narrow.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..010c47986912ff2450dd875db9019d992cc0719c
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HcmV?d00001

diff --git a/larray/tests/data/testmissing_values_narrow.csv b/larray/tests/data/testmissing_values_narrow.csv
new file mode 100644
index 000000000..1663c2a6a
--- /dev/null
+++ b/larray/tests/data/testmissing_values_narrow.csv
@@ -0,0 +1,12 @@
+a,b,c,value
+1,b0,c0,0
+1,b0,c1,1
+1,b0,c2,2
+1,b1,c0,3
+1,b1,c1,4
+1,b1,c2,5
+2,b1,c0,9
+2,b1,c2,11
+3,b0,c0,12
+3,b0,c1,13
+3,b0,c2,14
diff --git a/larray/tests/data/testunsorted_narrow.csv b/larray/tests/data/testunsorted_narrow.csv
new file mode 100644
index 000000000..295e82af8
--- /dev/null
+++ b/larray/tests/data/testunsorted_narrow.csv
@@ -0,0 +1,19 @@
+a,b,c,value
+3,b1,c2,0
+3,b1,c1,1
+3,b1,c0,2
+3,b0,c2,3
+3,b0,c1,4
+3,b0,c0,5
+2,b1,c2,6
+2,b1,c1,7
+2,b1,c0,8
+2,b0,c2,9
+2,b0,c1,10
+2,b0,c0,11
+1,b1,c2,12
+1,b1,c1,13
+1,b1,c0,14
+1,b0,c2,15
+1,b0,c1,16
+1,b0,c0,17
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 92112aa3f..985b9ffa3 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -96,6 +96,8 @@ def setUp(self):
         self.io_missing_values = ndtest("a=1..3; b=b0,b1; c=c0..c2", dtype=float)
         self.io_missing_values[2, 'b0'] = np.nan
         self.io_missing_values[3, 'b1'] = np.nan
+        self.io_narrow_missing_values = self.io_missing_values.copy()
+        self.io_narrow_missing_values[2, 'b1', 'c1'] = np.nan
 
     @pytest.fixture(autouse=True)
     def setup(self, tmpdir):
@@ -2637,6 +2639,26 @@ def test_read_csv(self):
         res = read_csv(StringIO('a,a2,a0,a1\n,2,0,1\n'), sort_columns=True)
         assert_array_equal(res, ndtest(3))
 
+        #################
+        # narrow format #
+        #################
+        res = read_csv(inputpath('test1d_narrow.csv'), wide=False)
+        assert_array_equal(res, self.io_1d)
+
+        res = read_csv(inputpath('test2d_narrow.csv'), wide=False)
+        assert_array_equal(res, self.io_2d)
+
+        res = read_csv(inputpath('test3d_narrow.csv'), wide=False)
+        assert_array_equal(res, self.io_3d)
+
+        # missing values
+        res = read_csv(inputpath('testmissing_values_narrow.csv'), wide=False)
+        assert_array_nan_equal(res, self.io_narrow_missing_values)
+
+        # unsorted values
+        res = read_csv(inputpath('testunsorted_narrow.csv'), wide=False)
+        assert_array_equal(res, self.io_unsorted)
+
     def test_read_eurostat(self):
         la = read_eurostat(inputpath('test5d_eurostat.csv'))
         self.assertEqual(la.ndim, 5)
@@ -2667,7 +2689,7 @@ def test_read_excel_xlwings(self):
         axis = Axis('dim=1d,2d,3d,5d')
 
         arr = read_excel(inputpath('test.xlsx'), axis['1d'])
-        assert_array_equal(arr, ndtest(3))
+        assert_array_equal(arr, self.io_1d)
 
         # missing rows + fill_value argument
         arr = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42)
@@ -2675,11 +2697,40 @@ def test_read_excel_xlwings(self):
         expected[isnan(expected)] = 42
         assert_array_equal(arr, expected)
 
-        # invalid keyword argument
+        #################
+        # narrow format #
+        #################
+        arr = read_excel(inputpath('test_narrow.xlsx'), '1d', wide=False)
+        assert_array_equal(arr, self.io_1d)
+
+        arr = read_excel(inputpath('test_narrow.xlsx'), '2d', wide=False)
+        assert_array_equal(arr, self.io_2d)
+
+        arr = read_excel(inputpath('test_narrow.xlsx'), '3d', wide=False)
+        assert_array_equal(arr, self.io_3d)
+
+        # missing rows + fill_value argument
+        arr = read_excel(inputpath('test_narrow.xlsx'), 'missing_values', fill_value=42, wide=False)
+        expected = self.io_narrow_missing_values.copy()
+        expected[isnan(expected)] = 42
+        assert_array_equal(arr, expected)
+
+        # unsorted values
+        arr = read_excel(inputpath('test_narrow.xlsx'), 'unsorted', wide=False)
+        assert_array_equal(arr, self.io_unsorted)
+
+        ##############################
+        #  invalid keyword argument  #
+        ##############################
+
         with self.assertRaisesRegexp(TypeError, "'dtype' is an invalid keyword argument for this function when using "
                                                 "the xlwings backend"):
             read_excel(inputpath('test.xlsx'), engine='xlwings', dtype=float)
 
+        #################
+        #  blank cells  #
+        #################
+
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = inputpath('test_blank_cells.xlsx')
         good = read_excel(fpath, 'good')
@@ -2722,7 +2773,7 @@ def test_read_excel_pandas(self):
         axis = Axis('dim=1d,2d,3d,5d')
 
         arr = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')
-        assert_array_equal(arr, ndtest(3))
+        assert_array_equal(arr, self.io_1d)
 
         # missing rows + fill_value argument
         arr = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42, engine='xlrd')
@@ -2730,6 +2781,33 @@ def test_read_excel_pandas(self):
         expected[isnan(expected)] = 42
         assert_array_equal(arr, expected)
 
+        #################
+        # narrow format #
+        #################
+        arr = read_excel(inputpath('test_narrow.xlsx'), '1d', wide=False, engine='xlrd')
+        assert_array_equal(arr, self.io_1d)
+
+        arr = read_excel(inputpath('test_narrow.xlsx'), '2d', wide=False, engine='xlrd')
+        assert_array_equal(arr, self.io_2d)
+
+        arr = read_excel(inputpath('test_narrow.xlsx'), '3d', wide=False, engine='xlrd')
+        assert_array_equal(arr, self.io_3d)
+
+        # missing rows + fill_value argument
+        arr = read_excel(inputpath('test_narrow.xlsx'), 'missing_values',
+                         fill_value=42, wide=False, engine='xlrd')
+        expected = self.io_narrow_missing_values
+        expected[isnan(expected)] = 42
+        assert_array_equal(arr, expected)
+
+        # unsorted values
+        arr = read_excel(inputpath('test_narrow.xlsx'), 'unsorted', wide=False, engine='xlrd')
+        assert_array_equal(arr, self.io_unsorted)
+
+        #################
+        #  blank cells  #
+        #################
+
         # Excel sheet with blank cells on right/bottom border of the array to read
         fpath = inputpath('test_blank_cells.xlsx')
         good1 = read_excel(fpath, 'good', engine='xlrd')

From de449aa82c1e9da7d0b55ac1697c3fed98fd2c3e Mon Sep 17 00:00:00 2001
From: Avasse <avasse@partner.auchan.fr>
Date: Fri, 23 Feb 2018 08:19:55 +0100
Subject: [PATCH 888/899] fix(#580): Renamed sheetname to sheet in to_excel

---
 doc/source/changes/version_0_28.rst.inc |  1 +
 larray/core/array.py                    | 31 +++++++++++++------------
 2 files changed, 17 insertions(+), 15 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index fa7907f49..cd193dc6e 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -318,6 +318,7 @@ Miscellaneous improvements
 
 * renamed argument `sheetname` of `read_excel` function as `sheet` (closes :issue:`587`).
 
+* Renamed sheet_name of LArray.to_excel to sheet since it can also be an index (closes :issue:580).
 
 Fixes
 -----
diff --git a/larray/core/array.py b/larray/core/array.py
index 2aabc07f3..a2d1b3829 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5979,7 +5979,8 @@ def to_hdf(self, filepath, key, *args, **kwargs):
         key = _translate_key_hdf(key)
         self.to_frame().to_hdf(filepath, key, *args, **kwargs)
 
-    def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file=False, clear_sheet=False,
+    @deprecate_kwarg('sheet_name', 'sheet') 
+    def to_excel(self, filepath=None, sheet=None, position='A1', overwrite_file=False, clear_sheet=False,
                  header=True, transpose=False, wide=True, value_name='value', engine=None, *args, **kwargs):
         """
         Writes array in the specified sheet of specified excel workbook.
@@ -5990,9 +5991,9 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
             Path where the excel file has to be written. If None (default), creates a new Excel Workbook in a live Excel
             instance (Windows only). Use -1 to use the currently active Excel Workbook. Use a name without extension
             (.xlsx) to use any unsaved* workbook.
-        sheet_name : str or Group or int or None, optional
+        sheet : str or Group or int or None, optional
             Sheet where the data has to be written. Defaults to None, Excel standard name if adding a sheet to an
-            existing file, "Sheet1" otherwise. sheet_name can also refer to the position of the sheet
+            existing file, "Sheet1" otherwise. sheet can also refer to the position of the sheet
             (e.g. 0 for the first sheet, -1 for the last one).
         position : str or tuple of integers, optional
             Integer position (row, column) must be 1-based. Defaults to 'A1'.
@@ -6028,7 +6029,7 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
         >>> # add to existing sheet starting at position A15
         >>> a.to_excel('test.xlsx', 'Sheet1', 'A15')  # doctest: +SKIP
         """
-        sheet_name = _translate_sheet_name(sheet_name)
+        sheet = _translate_sheet_name(sheet)
 
         if wide:
             pd_obj = self.to_frame(fold_last_axis_name=True)
@@ -6057,29 +6058,29 @@ def to_excel(self, filepath=None, sheet_name=None, position='A1', overwrite_file
             wb = open_excel(filepath, overwrite_file=overwrite_file)
 
             if new_workbook:
-                sheet = wb.sheets[0]
-                if sheet_name is not None:
-                    sheet.name = sheet_name
-            elif sheet_name is not None and sheet_name in wb:
-                sheet = wb.sheets[sheet_name]
+                sheetobj = wb.sheets[0]
+                if sheet is not None:
+                    sheetobj.name = sheet
+            elif sheet is not None and sheet in wb:
+                sheetobj = wb.sheets[sheet]
                 if clear_sheet:
-                    sheet.clear()
+                    sheetobj.clear()
             else:
-                sheet = wb.sheets.add(sheet_name, after=wb.sheets[-1])
+                sheetobj = wb.sheets.add(sheet, after=wb.sheets[-1])
 
             options = dict(header=header, index=header, transpose=transpose)
-            sheet[position].options(**options).value = pd_obj
+            sheetobj[position].options(**options).value = pd_obj
             # TODO: implement wide via/in dump
             # sheet[position] = self.dump(header=header, wide=wide)
             if close:
                 wb.save()
                 wb.close()
         else:
-            if sheet_name is None:
-                sheet_name = 'Sheet1'
+            if sheet is None:
+                sheet = 'Sheet1'
             # TODO: implement position in this case
             # startrow, startcol
-            pd_obj.to_excel(filepath, sheet_name, *args, engine=engine, **kwargs)
+            pd_obj.to_excel(filepath, sheet, *args, engine=engine, **kwargs)
 
     def to_clipboard(self, *args, **kwargs):
         """Sends the content of the array to clipboard.

From 98633edc30ea3c8397a1d0f22a70427d30e58c76 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 23 Feb 2018 09:18:53 +0100
Subject: [PATCH 889/899] fix #579 : fixed to_excel(transpose=True) on >= 2D
 arrays

---
 doc/source/changes/version_0_28.rst.inc | 10 ++++++++++
 larray/core/array.py                    |  5 ++++-
 larray/tests/test_array.py              |  5 +++++
 3 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index cd193dc6e..fa92e157a 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -357,3 +357,13 @@ Fixes
     Axis(['a1', 'a2'], 'a')
     >>> a.difference('a1..a3')
     Axis(['a0'], 'a')
+
+* fixed `to_excel` applied on >= 2D arrays using `transpose=True` (closes :issue:`579`)
+
+    >>> arr = ndtest((2, 3))
+    >>> arr.to_excel('my_file.xlsx', transpose=True)
+
+    b\a  a0  a1
+    b0    0   3
+    b1    1   4
+    b2    2   5
diff --git a/larray/core/array.py b/larray/core/array.py
index a2d1b3829..476c76380 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -6004,7 +6004,7 @@ def to_excel(self, filepath=None, sheet=None, position='A1', overwrite_file=Fals
         header : bool, optional
             Whether or not to write a header (axes names and labels). Defaults to True.
         transpose : bool, optional
-            Whether or not to transpose the array transpose over last axis.
+            Whether or not to transpose the array over last axis.
             This is equivalent to paste with option transpose in Excel. Defaults to False.
         wide : boolean, optional
             Whether or not writing arrays in "wide" format. If True, arrays are exported with the last axis
@@ -6033,6 +6033,9 @@ def to_excel(self, filepath=None, sheet=None, position='A1', overwrite_file=Fals
 
         if wide:
             pd_obj = self.to_frame(fold_last_axis_name=True)
+            if transpose and self.ndim >= 2:
+                names = pd_obj.index.names
+                pd_obj.index.names = names[:-2] + ['\\'.join(reversed(names[-1].split('\\')))]
         else:
             pd_obj = self.to_series(value_name)
 
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 985b9ffa3..c521dd233 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3420,6 +3420,11 @@ def test_to_excel_xlwings(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a2)
 
+        # transpose
+        a2.to_excel(fpath, 'transpose', transpose=True, engine='xlwings')
+        res = read_excel(fpath, 'transpose', engine='xlrd')
+        assert_array_equal(res, a2.T)
+
         # 3D
         a3 = ndtest((2, 3, 4))
 

From d4d57d6be7f5a2ba7a9cea61ab10a4eb7c80fd83 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 2 Mar 2018 15:53:47 +0100
Subject: [PATCH 890/899] fix #593 : added element_equal function including
 absolute and relative tolerance parameters

- deprecated nan_equal
- made LArray.equals method to use the element_equal function internally
---
 doc/source/api.rst                      |  2 +-
 doc/source/changes/version_0_28.rst.inc | 31 +++++++-
 larray/core/array.py                    | 96 ++++++++++++++++++-------
 3 files changed, 98 insertions(+), 31 deletions(-)

diff --git a/doc/source/api.rst b/doc/source/api.rst
index 6378ad6e3..05d2e8091 100644
--- a/doc/source/api.rst
+++ b/doc/source/api.rst
@@ -513,7 +513,7 @@ Miscellaneous
    aslarray
    from_frame
    labels_array
-   nan_equal
+   element_equal
    union
    stack
    identity
diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index fa92e157a..1abd598ad 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -98,9 +98,6 @@ New features
     >>> arr1.equals(arr2, nan_equal=True)
     True
 
-* added another feature.
-
-.. _misc:
 
 Miscellaneous improvements
 --------------------------
@@ -255,6 +252,33 @@ Miscellaneous improvements
 
   Closes :issue:`488`.
 
+* deprecated `nan_equal` function in favor of `element_equal` function. The `element_equal` function has the
+  same optional arguments as the `LArray.equals` method but compares two arrays element-wise and
+  returns an array of booleans:
+
+    >>> arr1 = LArray([6., np.nan, 8.], "a=a0..a2")
+    >>> arr1
+    a   a0   a1   a2
+       6.0  nan  8.0
+    >>> arr2 = LArray([5.999, np.nan, 8.001], "a=a0..a2")
+    >>> arr2
+    a     a0   a1     a2
+       5.999  nan  8.001
+    >>> element_equal(arr1, arr2)
+    a     a0     a1     a2
+       False  False  False
+    >>> element_equal(arr1, arr2, nan_equals=True)
+    a     a0    a1     a2
+       False  True  False
+    >>> element_equal(arr1, arr2, atol=0.01, nan_equals=True)
+    a    a0    a1    a2
+       True  True  True
+    >>> element_equal(arr1, arr2, rtol=0.01, nan_equals=True)
+    a    a0    a1    a2
+       True  True  True
+
+  Closes :issue:`593`.
+
 * renamed argument `transpose` by `wide` in `to_csv` method.
 
 * added argument `wide` in `to_excel` method. When argument `wide` is set to False, the array is exported
@@ -320,6 +344,7 @@ Miscellaneous improvements
 
 * Renamed sheet_name of LArray.to_excel to sheet since it can also be an index (closes :issue:580).
 
+
 Fixes
 -----
 
diff --git a/larray/core/array.py b/larray/core/array.py
index 476c76380..221289017 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -5,7 +5,7 @@
     'LArray', 'zeros', 'zeros_like', 'ones', 'ones_like', 'empty', 'empty_like', 'full', 'full_like', 'sequence',
     'create_sequential', 'ndrange', 'labels_array', 'ndtest', 'aslarray', 'identity', 'diag', 'eye',
     'larray_equal', 'larray_nan_equal', 'all', 'any', 'sum', 'prod', 'cumsum', 'cumprod', 'min', 'max', 'mean', 'ptp',
-    'var', 'std', 'median', 'percentile', 'stack', 'nan', 'nan_equal'
+    'var', 'std', 'median', 'percentile', 'stack', 'nan', 'nan_equal', 'element_equal'
 ]
 
 """
@@ -547,48 +547,96 @@ def _doc_agg_method(func, by=False, long_name='', action_verb='perform', extra_a
 
 obj_isnan = np.vectorize(lambda x: x != x, otypes=[bool])
 
-def nan_equal(a1, a2):
+
+def element_equal(a1, a2, rtol=0, atol=0, nan_equals=False):
     """
-    Compares two arrays element-wise and returns array of booleans. True for each cell where corresponding elements are
-    equal or are both NaN, False otherwise.
+    Compares two arrays element-wise and returns array of booleans.
 
     Parameters
     ----------
     a1, a2 : LArray-like
         Input arrays. aslarray() is used on non-LArray inputs.
+    rtol : float or int, optional
+        The relative tolerance parameter (see Notes). Defaults to 0.
+    atol : float or int, optional
+        The absolute tolerance parameter (see Notes). Defaults to 0.
+    nan_equals: boolean, optional
+        Whether or not to consider nan values at the same positions in the two arrays as equal.
+        By default, an array containing nan values is never equal to another array, even if that other array
+        also contains nan values at the same positions. The reason is that a nan value is different from
+        *anything*, including itself. Defaults to False.
 
     Returns
     -------
     LArray
-        Returns True if the arrays are equal (even in the presence of NaN).
+        Boolean array of where a1 and a2 are equal within a tolerance range if given.
+        If nan_equals=True, nan’s in a1 will be considered equal to nan’s in a2 in the output array.
+
+    Notes
+    -----
+    For finite values, element_equal uses the following equation to test whether two values are equal:
+
+        absolute(array1 - array2) <= (atol + rtol * absolute(array2))
+
+    The above equation is not symmetric in array1 and array2, so that element_equal(array1, array2)
+    might be different from element_equal(array2, array1) in some rare cases.
 
     Examples
     --------
-    >>> arr1 = ndtest(3, dtype=float)
-    >>> arr1['a1'] = nan
+    >>> arr1 = LArray([6., np.nan, 8.], "a=a0..a2")
     >>> arr1
     a   a0   a1   a2
-       0.0  nan  2.0
-    >>> arr2 = arr1.copy()
-    >>> arr1 == arr2
+       6.0  nan  8.0
+
+    Default behavior (same as == operator)
+
+    >>> element_equal(arr1, arr1)
     a    a0     a1    a2
        True  False  True
-    >>> nan_equal(arr1, arr2)
+
+    Test equality between two arrays within a given tolerance range.
+    Return True if absolute(array1 - array2) <= (atol + rtol * absolute(array2)).
+
+    >>> arr2 = LArray([5.999, np.nan, 8.001], "a=a0..a2")
+    >>> arr2
+    a     a0   a1     a2
+       5.999  nan  8.001
+    >>> element_equal(arr1, arr2, nan_equals=True)
+    a     a0    a1     a2
+       False  True  False
+    >>> element_equal(arr1, arr2, atol=0.01, nan_equals=True)
+    a    a0    a1    a2
+       True  True  True
+    >>> element_equal(arr1, arr2, rtol=0.01, nan_equals=True)
     a    a0    a1    a2
        True  True  True
     """
-    from larray.core.ufuncs import isnan
+    a1, a2 = aslarray(a1), aslarray(a2)
 
-    def general_isnan(a):
-        if np.issubclass_(a.dtype.type, np.inexact):
-            return isnan(a)
-        elif a.dtype.type is np.object_:
-            return LArray(obj_isnan(a), a.axes)
+    if rtol == 0 and atol == 0:
+        if not nan_equals:
+            return a1 == a2
         else:
-            return False
+            from larray.core.ufuncs import isnan
 
-    a1, a2 = aslarray(a1), aslarray(a2)
-    return (a1 == a2) | (general_isnan(a1) & general_isnan(a2))
+            def general_isnan(a):
+                if np.issubclass_(a.dtype.type, np.inexact):
+                    return isnan(a)
+                elif a.dtype.type is np.object_:
+                    return LArray(obj_isnan(a), a.axes)
+                else:
+                    return False
+
+            return (a1 == a2) | (general_isnan(a1) & general_isnan(a2))
+    else:
+        (a1, a2), res_axes = make_numpy_broadcastable([a1, a2])
+        return LArray(np.isclose(a1.data, a2.data, rtol=rtol, atol=atol, equal_nan=nan_equals), res_axes)
+
+
+def nan_equal(a1, a2):
+    import warnings
+    warnings.warn("nan_equal() is deprecated. Use equal() instead.", FutureWarning, stacklevel=2)
+    return element_equal(a1, a2, nan_equals=True)
 
 
 class LArray(ABCLArray):
@@ -5314,13 +5362,7 @@ def equals(self, other, rtol=0, atol=0, nan_equals=False):
             other = aslarray(other)
         except Exception:
             return False
-        if rtol == 0 and atol == 0:
-            if nan_equals:
-                return self.axes == other.axes and all(nan_equal(self, other))
-            else:
-                return self.axes == other.axes and np.array_equal(np.asarray(self), np.asarray(other))
-        else:
-            return self.axes == other.axes and np.allclose(np.asarray(self), np.asarray(other), rtol, atol, nan_equals)
+        return self.axes == other.axes and all(element_equal(self, other, rtol=rtol, atol=atol, nan_equals=nan_equals))
 
     def divnot0(self, other):
         """Divides array by other, but returns 0.0 where other is 0.

From 3f31f2abcf9c7f8f04e77fbb5003d71ce8c303ff Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 6 Mar 2018 09:09:59 +0100
Subject: [PATCH 891/899] fix #522 and fix #533:

* 533 --> allowed to use 0 padding in axis labels
* 522 --> fixed aggregation on arrays containing zero padded string labels (like '01', '02', ...)
---
 doc/source/changes/version_0_28.rst.inc | 15 +++++++++
 larray/core/axis.py                     | 15 +--------
 larray/core/group.py                    | 42 ++++++++++++++-----------
 larray/tests/test_array.py              | 13 +++++---
 larray/tests/test_axis.py               |  4 +++
 larray/util/misc.py                     | 27 +++++++++++++++-
 6 files changed, 79 insertions(+), 37 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 1abd598ad..0f043e7f2 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -344,6 +344,11 @@ Miscellaneous improvements
 
 * Renamed sheet_name of LArray.to_excel to sheet since it can also be an index (closes :issue:580).
 
+* allowed to create axes with zero padded string labels (closes :issue:`533`):
+
+    >>> Axis('zero_padding=01,02,03,10,11,12')
+    Axis(['01', '02', '03', '10', '11', '12'], 'zero_padding')
+
 
 Fixes
 -----
@@ -392,3 +397,13 @@ Fixes
     b0    0   3
     b1    1   4
     b2    2   5
+
+* fixed aggregation on arrays containing zero padded string labels (closes :issue:`522`):
+
+    >>> arr = ndtest('zero_padding=01,02,03,10,11,12')
+    >>> arr
+    zero_padding  01  02  03  10  11  12
+                   0   1   2   3   4   5
+    >>> arr.sum('01,02,03 >> 01_03; 10')
+    zero_padding  01_03  10
+                      3   3
diff --git a/larray/core/axis.py b/larray/core/axis.py
index 974d024e4..00587fd7f 100644
--- a/larray/core/axis.py
+++ b/larray/core/axis.py
@@ -184,20 +184,7 @@ def labels(self, labels):
             labels = np.arange(length)
             iswildcard = True
         else:
-            # TODO: move this to _to_ticks????
-            # we convert to an ndarray to save memory for scalar ticks (for
-            # LGroup ticks, it does not make a difference since a list of LGroup
-            # and an ndarray of LGroup are both arrays of pointers)
-            ticks = _to_ticks(labels, parse_single_int=True)
-            if _contain_group_ticks(ticks):
-                # avoid getting a 2d array if all LGroup have the same length
-                labels = np.empty(len(ticks), dtype=object)
-                # this does not work if some values have a length (with a valid __len__) and others not
-                # labels[:] = ticks
-                for i, tick in enumerate(ticks):
-                    labels[i] = tick
-            else:
-                labels = np.asarray(ticks)
+            labels = _to_ticks(labels, parse_single_int=True)
             length = len(labels)
             iswildcard = False
 
diff --git a/larray/core/group.py b/larray/core/group.py
index e76183187..fb48aeaac 100644
--- a/larray/core/group.py
+++ b/larray/core/group.py
@@ -223,6 +223,10 @@ def _range_str_to_range(s, stack_depth=1):
     >>> list(_range_str_to_range('2..6 step 2'))
     [2, 4, 6]
 
+    0 padding
+    >>> list(_range_str_to_range('01..12'))
+    ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']
+
     any special character except . and spaces should work
     >>> _range_str_to_range('a|+*@-b .. a|+*@-d')
     ['a|+*@-b', 'a|+*@-c', 'a|+*@-d']
@@ -236,6 +240,8 @@ def _range_str_to_range(s, stack_depth=1):
     if stop is None:
         raise ValueError("no stop bound provided in range: %r" % s)
     stop = _parse_bound(stop, stack_depth + 1)
+    if isinstance(start, basestring) or isinstance(stop, basestring):
+        start, stop = str(start), str(stop)
     # TODO: use parse_bound
     step = int(step) if step is not None else 1
     return generalized_range(start, stop, step)
@@ -365,6 +371,7 @@ def _to_tick(v):
         return str(v)
 
 
+# TODO: remove the conversion to list in doctests once Python 2 is dropped
 def _to_ticks(s, parse_single_int=False):
     """
     Makes a (list of) value(s) usable as the collection of labels for an Axis (ie hashable).
@@ -378,53 +385,52 @@ def _to_ticks(s, parse_single_int=False):
 
     Returns
     -------
-    collection of labels
-
-    Notes
-    -----
-    This function is only used in Axis.__init__ and union().
+    Numpy 1D array containing labels
 
     Examples
     --------
-    >>> _to_ticks('M , F')
+    >>> list(_to_ticks('M , F'))
     ['M', 'F']
-    >>> _to_ticks('A,C..E,F..G,Z')
+    >>> list(_to_ticks('A,C..E,F..G,Z'))
     ['A', 'C', 'D', 'E', 'F', 'G', 'Z']
-    >>> _to_ticks('U')
+    >>> list(_to_ticks('U'))
     ['U']
     >>> list(_to_ticks('..3'))
     [0, 1, 2, 3]
+    >>> list(_to_ticks('01..12'))
+    ['01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12']
+    >>> list(_to_ticks('01,02,03,10,11,12'))
+    ['01', '02', '03', '10', '11', '12']
     """
     if isinstance(s, ABCAxis):
         return s.labels
     if isinstance(s, Group):
         # a single LGroup used for all ticks of an Axis
         return _to_ticks(s.eval())
-    elif isinstance(s, pd.Index):
-        return s.values
     elif isinstance(s, np.ndarray):
         # we assume it has already been translated
         # XXX: Is it a safe assumption?
         return s
+
+    if isinstance(s, pd.Index):
+        ticks = s.values
     elif isinstance(s, (list, tuple)):
-        return [_to_tick(e) for e in s]
+        ticks = [_to_tick(e) for e in s]
     elif sys.version >= '3' and isinstance(s, range):
-        return list(s)
+        ticks = s
     elif isinstance(s, basestring):
         seq = _seq_str_to_seq(s, parse_single_int=parse_single_int)
         if isinstance(seq, slice):
             raise ValueError("using : to define axes is deprecated, please use .. instead")
-        elif isinstance(seq, (basestring, int)):
-            return [seq]
-        else:
-            return seq
+        ticks = [seq] if isinstance(seq, (basestring, int)) else seq
     elif hasattr(s, '__array__'):
-        return s.__array__()
+        ticks = s.__array__()
     else:
         try:
-            return list(s)
+            ticks = list(s)
         except TypeError:
             raise TypeError("ticks must be iterable (%s is not)" % type(s))
+    return np.asarray(ticks)
 
 
 _axis_name_pattern = re.compile('\s*(([A-Za-z]\w*)(\.i)?\s*\[)?(.*)')
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index c521dd233..8f1e0f2b1 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -24,15 +24,15 @@
 
 class TestValueStrings(TestCase):
     def test_split(self):
-        self.assertEqual(_to_ticks('M,F'), ['M', 'F'])
-        self.assertEqual(_to_ticks('M, F'), ['M', 'F'])
+        assert_array_equal(_to_ticks('M,F'), np.asarray(['M', 'F']))
+        assert_array_equal(_to_ticks('M, F'), np.asarray(['M', 'F']))
 
     def test_union(self):
         self.assertEqual(union('A11,A22', 'A12,A22'), ['A11', 'A22', 'A12'])
 
     def test_range(self):
-        self.assertEqual(_to_ticks('0..115'), range(116))
-        self.assertEqual(_to_ticks('..115'), range(116))
+        assert_array_equal(_to_ticks('0..115'), np.asarray(range(116)))
+        assert_array_equal(_to_ticks('..115'), np.asarray(range(116)))
         with self.assertRaises(ValueError):
             _to_ticks('10..')
         with self.assertRaises(ValueError):
@@ -1654,6 +1654,11 @@ def test_group_agg_anonymous_axis(self):
         raw = np.asarray(la)
         assert_array_equal(la.sum(a2[0, 2]), raw[:, [0, 2]].sum(1))
 
+    def test_group_agg_zero_padded_label(self):
+        arr = ndtest("a=01,02,03,10,11; b=b0..b2")
+        expected = LArray([36, 30, 39], "a=01_03,10,11")
+        assert_array_equal(arr.sum("01,02,03 >> 01_03; 10; 11", "b"), expected)
+
     def test_group_agg_on_int_array(self):
         # issue 193
         arr = ndtest('year=2014..2018')
diff --git a/larray/tests/test_axis.py b/larray/tests/test_axis.py
index b1299b322..da7aefb6c 100644
--- a/larray/tests/test_axis.py
+++ b/larray/tests/test_axis.py
@@ -38,6 +38,10 @@ def test_init(self):
         # range-string
         axis = Axis('0..115', 'age')
         assert_array_equal(axis.labels, np.arange(116))
+        # int-like labels with 0 padding
+        assert_array_equal(Axis('01..12', 'zero_padding').labels, [str(i).zfill(2) for i in range(1, 13)])
+        assert_array_equal(Axis('01,02,03,10,11,12', 'zero_padding').labels, ['01', '02', '03', '10', '11', '12'])
+
         # another axis group
         group = axis[:10]
         group_axis = Axis(group)
diff --git a/larray/util/misc.py b/larray/util/misc.py
index c9af0feec..edb2bcf8f 100644
--- a/larray/util/misc.py
+++ b/larray/util/misc.py
@@ -516,7 +516,30 @@ def error_handler(error, flag):
 
 
 def _isintstring(s):
-    return s.isdigit() or (len(s) > 1 and s[0] == '-' and s[1:].isdigit())
+    """
+    Return True if the passed string represents an integer.
+    Zero padded integers are considered as strings and not integers.
+
+    Parameters
+    ----------
+    s : str
+        string to test if representing an integer.
+
+    Examples
+    --------
+    >>> _isintstring('12')
+    True
+    >>> _isintstring('-12')
+    True
+    >>> _isintstring('a1')
+    False
+    >>> _isintstring('01')
+    False
+    """
+    def isposint(s):
+        # exclude zero padded strings
+        return s.isdigit() and not (len(s) > 1 and s[0] == '0')
+    return isposint(s) or (len(s) > 1 and s[0] == '-' and isposint(s[1:]))
 
 
 def _parse_bound(s, stack_depth=1, parse_int=True):
@@ -545,6 +568,8 @@ def _parse_bound(s, stack_depth=1, parse_int=True):
     2
     >>> _parse_bound('42')
     42
+    >>> _parse_bound('01')
+    '01'
     """
     s = s.strip()
     if s == '':

From 1fcbdc23be577746754f5774ba6dc3542e29dab0 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Tue, 6 Mar 2018 09:41:24 +0100
Subject: [PATCH 892/899] changelog 0.28 --> fixed typo + merged change logs
 for issues 488 and 518

---
 doc/source/changes/version_0_28.rst.inc | 68 ++++++++++++-------------
 1 file changed, 32 insertions(+), 36 deletions(-)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 0f043e7f2..a99b4650c 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -2,7 +2,7 @@
 -----------------------------
 
 * changed behavior of operators `session1 == session2` and `session1 != session2`: returns a session
-  of boolean arrays (closes:issue:`516`):
+  of boolean arrays (closes :issue:`516`):
 
     >>> s1 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
     >>> s2 = Session([('arr1', ndtest(2)), ('arr2', ndtest((2, 2)))])
@@ -61,9 +61,9 @@ New features
     >>> s1.equals(s2)
     False
 
-  Closes:issue:`517`.
+  Closes :issue:`517`.
 
-* added method `equals` to `LArray` object to compare two arrays (closes :issue:`518`):
+* added method `equals` to `LArray` object to compare two arrays:
 
     >>> arr1 = ndtest((2, 3))
     >>> arr1
@@ -98,12 +98,33 @@ New features
     >>> arr1.equals(arr2, nan_equal=True)
     True
 
+ This method also includes the arguments `rtol` (relative tolerance) and `atol` (absolute tolerance)
+ allowing to test the equality between two arrays within a given relative or absolute tolerance:
+
+    >>> arr1 = LArray([6., 8.], "a=a0,a1")
+    >>> arr1
+    a   a0   a1
+       6.0  8.0
+    >>> arr2 = LArray([5.999, 8.001], "a=a0,a1")
+    >>> arr2
+    a     a0     a1
+       5.999  8.001
+    >>> arr1.equals(arr2)
+    False
+    >>> # equals returns True if abs(array1 - array2) <= (atol + rtol * abs(array2))
+    >>> arr1.equals(arr2, atol=0.01)
+    True
+    >>> arr1.equals(arr2, rtol=0.01)
+    True
+
+  Closes :issue:`488` and :issue:`518`.
+
 
 Miscellaneous improvements
 --------------------------
 
-* functions `local_arrays`, `global_arrays` and `arrays` returns a session excluding arrays starting by `_`
-  by default. To include them, set the flag `include_private` to True (closes :issue:`513`):
+* functions `local_arrays`, `global_arrays` and `arrays` returns a session excluding arrays starting by
+  an underscore by default. To include them, set the flag `include_private` to True (closes :issue:`513`):
 
     >>> global_arr1 = ndtest((2, 2))
     >>> _global_arr2 = ndtest((3, 3))
@@ -213,11 +234,11 @@ Miscellaneous improvements
 
   For a given file 'arr.csv' with content ::
 
-  a,b\c,c0,c1
-  a0,b0,0,1
-  a0,b1,2,3
-  a1,b0,4,5
-  a1,b1,6,7
+    a,b\c,c0,c1
+    a0,b0,0,1
+    a0,b1,2,3
+    a1,b0,4,5
+    a1,b1,6,7
 
   previous code to read this array such as :
 
@@ -230,28 +251,6 @@ Miscellaneous improvements
 
   Closes :issue:`548`.
 
-* added the relative tolerance `rtol` and the absolute tolerance `atol` arguments to the `LArray.equals` method.
-  These two arguments can be used to test the equality between two arrays within a given relative or
-  absolute tolerance:
-
-      >>> arr1 = LArray([6., 8.], "a=a0,a1")
-      >>> arr1
-      a   a0   a1
-         6.0  8.0
-      >>> arr2 = LArray([5.999, 8.001], "a=a0,a1")
-      >>> arr2
-      a     a0     a1
-         5.999  8.001
-      >>> arr1.equals(arr2)
-      False
-      >>> # equals returns True if abs(array1 - array2) <= (atol + rtol * abs(array2))
-      >>> arr1.equals(arr2, atol=0.01)
-      True
-      >>> arr1.equals(arr2, rtol=0.01)
-      True
-
-  Closes :issue:`488`.
-
 * deprecated `nan_equal` function in favor of `element_equal` function. The `element_equal` function has the
   same optional arguments as the `LArray.equals` method but compares two arrays element-wise and
   returns an array of booleans:
@@ -293,7 +292,6 @@ Miscellaneous improvements
   Default behavior (`wide=True`):
 
     >>> arr.to_excel('my_file.xlsx')
-
     a\b  b0  b1  b2
     a0    0   1   2
     a1    3   4   5
@@ -301,7 +299,6 @@ Miscellaneous improvements
   With `wide=False`:
 
     >>> arr.to_excel('my_file.xlsx', wide=False)
-
      a   b  value
     a0  b0      0
     a0  b1      1
@@ -342,7 +339,7 @@ Miscellaneous improvements
 
 * renamed argument `sheetname` of `read_excel` function as `sheet` (closes :issue:`587`).
 
-* Renamed sheet_name of LArray.to_excel to sheet since it can also be an index (closes :issue:580).
+* Renamed `sheet_name` of `LArray.to_excel` to `sheet` since it can also be an index (closes :issue:`580`).
 
 * allowed to create axes with zero padded string labels (closes :issue:`533`):
 
@@ -392,7 +389,6 @@ Fixes
 
     >>> arr = ndtest((2, 3))
     >>> arr.to_excel('my_file.xlsx', transpose=True)
-
     b\a  a0  a1
     b0    0   3
     b1    1   4

From c847e90092a33c360391e115c3db57565a436504 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 25 Jan 2018 14:30:20 +0100
Subject: [PATCH 893/899] updated changelog 0.28: - added changelog for
 larray-editor issue 32 - added changelog for larray-editor issue 96 - added
 changelog for larray-editor issue 131 - added changelog for larray-editor
 issue 135

---
 doc/source/changes/version_0_28.rst.inc | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index a99b4650c..50110a799 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -119,6 +119,27 @@ New features
 
   Closes :issue:`488` and :issue:`518`.
 
+* added `Load from Script` in the File menu of the editor allowing to load commands from an
+  existing Python file (closes :editor_issue:`96`).
+
+* added `Edit` menu allowing to undo and redo changes of array values by editing cells and
+  removed `Apply` and `Discard` buttons. Changes are now kept when switching from an array to another
+  instead of losing them as previously (closes :editor_issue:`32`).
+
+* allowed to provide an absolute or relative tolerance value when comparing arrays through the `compare` function
+  (closes :editor_issue:`131`).
+
+* made the editor able to detect and display plot objects stored in tuple, list or arrays.
+  For example, arrays of plot objects are returned when using `subplots=True` option in calls of `plot` method:
+
+    >>> a = ndtest('sex=M,F; nat=BE,FO; year=2000..2017')
+    >>> # display 4 plots vertically placed (one plot for each pair (sex, nationality))
+    >>> a.plot(subplots=True)
+    >>> # display 4 plots ordered in a 2 x 2 grid
+    >>> a.plot(subplots=True, layout=(2, 2))
+
+  Closes :editor_issue:`135`.
+
 
 Miscellaneous improvements
 --------------------------
@@ -346,6 +367,9 @@ Miscellaneous improvements
     >>> Axis('zero_padding=01,02,03,10,11,12')
     Axis(['01', '02', '03', '10', '11', '12'], 'zero_padding')
 
+* added a dropdown menu containing recently used files in dialog boxes of `Save Command History To Script`
+  and `Load from Script` from File menu.
+
 
 Fixes
 -----

From e0087d8b998d00f71635e6ca938faeb922322ff4 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Mar 2018 15:09:25 +0100
Subject: [PATCH 894/899] updated conf.py

* set flag 'autolaunch' to false in metadata of tutorial.ipynb/ml notebooks

* updated conf.py --> nbsphinx_prolog:
   - changed default value of base arg from 'doc' to 'doc/source/'
   - removed unused last line

* removed not working hyperlinks in tutorial notebook
---
 doc/source/conf.py                 |   4 +-
 doc/source/tutorial/tutorial.ipyml | 207 +++++++++++++++++++++++++--
 doc/source/tutorial/tutorial.ipynb | 222 ++++++++++++++---------------
 3 files changed, 309 insertions(+), 124 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index e0c865b6a..0f724e41e 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -74,7 +74,7 @@
 
 # This is processed by Jinja2 and inserted before each notebook
 nbsphinx_prolog = r"""
-{% set docname = env.doc2path(env.docname, base='doc') %}
+{% set docname = env.doc2path(env.docname, base='doc/source/') %}
 
 .. only:: html
 
@@ -86,8 +86,6 @@
         :raw-html:`<a href="https://mybinder.org/v2/gh/liam2/larray/{{ env.config.release }}?
         filepath={{ docname }}"><img alt="Binder badge" src="https://mybinder.org/badge.svg" 
         style="vertical-align:text-bottom"></a>`
-
-    __ https://github.com/liam2/larray/blob/{{ env.config.release }}/{{ docname }}
 """
 
 # ==============================================================
diff --git a/doc/source/tutorial/tutorial.ipyml b/doc/source/tutorial/tutorial.ipyml
index e8023efc2..7a27b0d2f 100644
--- a/doc/source/tutorial/tutorial.ipyml
+++ b/doc/source/tutorial/tutorial.ipyml
@@ -11,6 +11,7 @@ cells:
     # simplify exception output
     %xmode Plain
 
+  id: 0
   metadata:
     nbsphinx: hidden
 
@@ -21,11 +22,12 @@ cells:
 - code: |
     from larray import *
 
+  id: 1
 
 - markdown: |
     ## Axis creation
     
-    An [Axis](api.rst#Axis) represents a dimension of an LArray object.
+    An Axis represents a dimension of an LArray object.
     It consists of a name and a list of labels. They are several ways to create an axis:
 
 
@@ -41,11 +43,12 @@ cells:
     
     age, sex, time, other
 
+  id: 2
 
 - markdown: |
     ## Array creation
     
-    A [LArray](api.rst#LArray) object represents a multidimensional array with labeled axes.
+    A LArray object represents a multidimensional array with labeled axes.
     
     ### From scratch
     
@@ -66,11 +69,12 @@ cells:
     arr = LArray(data, axes, title)
     arr
 
+  id: 3
 
 - markdown: |
     ### Array creation functions
     
-    Arrays can also be generated in an easier way through [creation functions](api.rst#array-creation-functions):
+    Arrays can also be generated in an easier way through creation functions:
     
     -  `ndtest` : creates a test array with increasing numbers as data
     -  `empty` : creates an array but leaves its allocated memory
@@ -95,12 +99,14 @@ cells:
     # start defines the starting value of data
     ndtest(['age=0..2', 'sex=M,F', 'time=2007..2009'], start=-1)
 
+  id: 4
 
 - code: |
     # start defines the starting value of data
     # label_start defines the starting index of labels
     ndtest((3, 3), start=-1, label_start=2)
 
+  id: 5
 
 - code: |
     # empty generates uninitialised array with correct axes 
@@ -111,20 +117,24 @@ cells:
     # will be overridden. 
     empty(['age=0..2', 'sex=M,F', 'time=2007..2009'])
 
+  id: 6
 
 - code: |
     # example with anonymous axes
     zeros(['0..2', 'M,F', '2007..2009'])
 
+  id: 7
 
 - code: |
     # dtype=int forces to store int data instead of default float
     ones(['age=0..2', 'sex=M,F', 'time=2007..2009'], dtype=int)
 
+  id: 8
 
 - code: |
     full(['age=0..2', 'sex=M,F', 'time=2007..2009'], 1.23)
 
+  id: 9
 
 - markdown: |
     All the above functions exist in *(func)_like* variants which take axes from another array
@@ -133,6 +143,7 @@ cells:
 - code: |
     ones_like(arr)
 
+  id: 10
 
 - markdown: |
     ### Sequence
@@ -142,16 +153,19 @@ cells:
     # With initial=1.0 and inc=0.5, we generate the sequence 1.0, 1.5, 2.0, 2.5, 3.0, ... 
     sequence('sex=M,F', initial=1.0, inc=0.5)
 
+  id: 11
 
 - code: |
     # With initial=1.0 and mult=2.0, we generate the sequence 1.0, 2.0, 4.0, 8.0, ... 
     sequence('age=0..2', initial=1.0, mult=2.0) 
 
+  id: 12
 
 - code: |
     # Using your own function
     sequence('time=2007..2009', initial=2.0, func=lambda value: value**2)
 
+  id: 13
 
 - markdown: |
     You can also create N-dimensional array by passing (N-1)-dimensional
@@ -163,6 +177,7 @@ cells:
     cumulate_newborns = sequence('time=2007..2009', initial=0.0, inc=birth)
     cumulate_newborns
 
+  id: 14
 
 - code: |
     initial = LArray([90, 100], 'sex=M,F') 
@@ -170,6 +185,7 @@ cells:
     pop = sequence('age=80..83', initial=initial, mult=survival)
     pop
 
+  id: 15
 
 - markdown: |
     ## Load/Dump from files
@@ -181,6 +197,7 @@ cells:
     pop = demography.pop
     mortality = demography.qx
 
+  id: 16
   metadata:
     nbsphinx: hidden
 
@@ -215,7 +232,7 @@ cells:
 
 
 - markdown: |
-    See documentation of [reading functions](api.rst#read) for more details
+    See documentation of reading functions for more details
 
 
 - markdown: |
@@ -249,7 +266,7 @@ cells:
 
 
 - markdown: |
-    See documentation of [writing methods](api.rst#write) for more details
+    See documentation of writing methods for more details
 
 
 - markdown: |
@@ -388,6 +405,7 @@ cells:
     # load population array
     pop = load_example_data('demography').pop
 
+  id: 17
 
 - markdown: |
     Get array summary : dimensions + description of axes
@@ -396,6 +414,7 @@ cells:
 - code: |
     pop.info
 
+  id: 18
 
 - markdown: |
     Get axes  
@@ -404,6 +423,7 @@ cells:
 - code: |
     time, geo, age, sex, nat = pop.axes
 
+  id: 19
 
 - markdown: |
     Get array dimensions 
@@ -412,6 +432,7 @@ cells:
 - code: |
     pop.shape
 
+  id: 20
 
 - markdown: |
     Get number of elements  
@@ -420,6 +441,7 @@ cells:
 - code: |
     pop.size
 
+  id: 21
 
 - markdown: |
     Get size in memory
@@ -428,6 +450,7 @@ cells:
 - code: |
     pop.memory_used
 
+  id: 22
 
 - markdown: |
     Start viewer (graphical user interface) in read-only mode.
@@ -465,6 +488,7 @@ cells:
     # of age 50 from Brussels region for the year 2015
     pop[2015, 'BruCap', 50, 'F', 'BE']
 
+  id: 23
 
 - markdown: |
     Continue with selecting a subset using slices and lists of labels
@@ -475,6 +499,7 @@ cells:
     # from Brussels region for the years 2010 to 2016
     pop[2010:2016, 'BruCap', 50:52, 'F', 'BE']
 
+  id: 24
 
 - code: |
     # slices bounds are optional: 
@@ -482,18 +507,21 @@ cells:
     # Here we select all years starting from 2010
     pop[2010:, 'BruCap', 50:52, 'F', 'BE']
 
+  id: 25
 
 - code: |
     # Slices can also have a step (defaults to 1), to take every Nth labels
     # Here we select all even years starting from 2010
     pop[2010::2, 'BruCap', 50:52, 'F', 'BE']
 
+  id: 26
 
 - code: |
     # one can also use list of labels to take non-contiguous labels.
     # Here we select years 2008, 2010, 2013 and 2015
     pop[[2008, 2010, 2013, 2015], 'BruCap', 50:52, 'F', 'BE']
 
+  id: 27
 
 - markdown: |
     The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. It only matters for output.
@@ -503,6 +531,7 @@ cells:
     # order of index doesn't matter
     pop['F', 'BE', 'BruCap', [2008, 2010, 2013, 2015], 50:52]
 
+  id: 28
 
 - markdown: |
     <div class="alert alert-warning">
@@ -518,17 +547,20 @@ cells:
     
     arr_ws = ndtest([age, weight, size])
 
+  id: 29
 
 - code: |
     # let's try to select teenagers with size between 1 m 60 and 1 m 65 and weight > 80 kg.
     # In this case the subset is ambiguous and this results in an error:
     arr_ws[10:18, :80, 160:165]
 
+  id: 30
 
 - code: |
     # the solution is simple. You need to precise the axes on which you make a selection
     arr_ws[age[10:18], weight[:80], size[160:165]]
 
+  id: 31
 
 - markdown: |
     ### Special variable X
@@ -548,6 +580,7 @@ cells:
     # the previous example could have been also written as  
     arr_ws[X.age[10:18], X.weight[:80], X.size[160:165]]
 
+  id: 32
 
 - markdown: |
     ### Selection by Positions
@@ -570,16 +603,19 @@ cells:
     # from Brussels region for the first 3 years
     pop[X.time.i[:3], 'BruCap', 50:52, 'F', 'BE']
 
+  id: 33
 
 - code: |
     # same but for the last 3 years
     pop[X.time.i[-3:], 'BruCap', 50:52, 'F', 'BE']
 
+  id: 34
 
 - code: |
     # using list of positions
     pop[X.time.i[-9,-7,-4,-2], 'BruCap', 50:52, 'F', 'BE']
 
+  id: 35
 
 - markdown: |
     <div class="alert alert-warning">
@@ -591,11 +627,13 @@ cells:
     # with labels (3 is included)
     pop[2015, 'BruCap', X.age[:3], 'F', 'BE']
 
+  id: 36
 
 - code: |
     # with position (3 is out)
     pop[2015, 'BruCap', X.age.i[:3], 'F', 'BE']
 
+  id: 37
 
 - markdown: |
     You can use ``.i[]`` selection directly on array instead of axes. 
@@ -607,6 +645,7 @@ cells:
     # equivalent to: pop.i[-1, :, :3, :, :]
     pop.i[-1, :, :3]
 
+  id: 38
 
 - markdown: |
     ### Assigning subsets
@@ -622,12 +661,14 @@ cells:
     pop2 = pop
     pop2
 
+  id: 39
 
 - code: |
     # set all data corresponding to age >= 102 to 0
     pop2[102:] = 0
     pop2
 
+  id: 40
 
 - markdown: |
     One very important gotcha though...
@@ -651,6 +692,7 @@ cells:
     # indeed, data from the original array have also changed
     pop
 
+  id: 41
 
 - code: |
     # the right way
@@ -660,11 +702,13 @@ cells:
     pop2[102:] = 0
     pop2
 
+  id: 42
 
 - code: |
     # now, data from the original array have not changed this time
     pop
 
+  id: 43
 
 - markdown: |
     #### Assigning Arrays & Broadcasting
@@ -679,6 +723,7 @@ cells:
     new_value = LArray([[1, -1], [2, -2]],[sex, nat])
     new_value
 
+  id: 44
 
 - code: |
     # this assigns 1, -1 to Belgian, Foreigner men 
@@ -687,6 +732,7 @@ cells:
     pop[102:] = new_value
     pop
 
+  id: 45
 
 - markdown: |
     <div class="alert alert-warning">
@@ -699,17 +745,20 @@ cells:
     new_value = zeros(['age=0..2', sex, nat]) 
     new_value
 
+  id: 46
 
 - code: |
     # now let's try to assign the previous array in a subset with shape 7 x 2 x 2
     pop[102:] = new_value
 
+  id: 47
 
 - code: |
     # but this works
     pop[102:104] = new_value
     pop
 
+  id: 48
 
 - markdown: |
     ### Boolean filtering
@@ -725,6 +774,7 @@ cells:
     subset = pop[((X.sex == 'H') & (X.age <= 5)) | ((X.sex == 'F') & (X.age <= 10))]
     subset
 
+  id: 49
 
 - markdown: |
     <div class="alert alert-info">
@@ -736,6 +786,7 @@ cells:
     # 'age' and 'sex' axes have been merged together
     subset.info
 
+  id: 50
 
 - markdown: |
     This may be not what you because previous selections on merged axes are no longer valid
@@ -745,6 +796,7 @@ cells:
     # now let's try to calculate the proportion of females with age less than 10
     subset['F'].sum() / pop['F'].sum()
 
+  id: 51
 
 - markdown: |
     Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements
@@ -755,11 +807,13 @@ cells:
     subset[((X.sex == 'F') & (X.age > 10))] = 0
     subset['F', :20]
 
+  id: 52
 
 - code: |
     # now we can calculate the proportion of females with age less than 10
     subset['F'].sum() / pop['F'].sum()
 
+  id: 53
 
 - markdown: |
     Boolean filtering can also mix axes and arrays. Example above could also have been written as
@@ -769,17 +823,20 @@ cells:
     age_limit = sequence('sex=M,F', initial=5, inc=5)
     age_limit
 
+  id: 54
 
 - code: |
     age = pop.axes['age']
     (age <= age_limit)[:20]
 
+  id: 55
 
 - code: |
     subset = pop.copy()
     subset[X.age > age_limit] = 0
     subset['F'].sum() / pop['F'].sum()
 
+  id: 56
 
 - markdown: |
     Finally, you can choose to filter on data instead of axes
@@ -790,12 +847,14 @@ cells:
     subset = pop['F', 90:110].copy()
     subset
 
+  id: 57
 
 - code: |
     # here we set to 0 all data < 10
     subset[subset < 10] = 0
     subset
 
+  id: 58
 
 - markdown: |
     ## Manipulates axes from arrays
@@ -806,6 +865,7 @@ cells:
     pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
     pop
 
+  id: 59
 
 - markdown: |
     ### Relabeling
@@ -818,11 +878,13 @@ cells:
     pop_new_labels = pop.set_labels('sex', ['Men', 'Women'])
     pop_new_labels
 
+  id: 60
 
 - code: |
     # inplace flag avoids to create a copy
     pop.set_labels('sex', ['M', 'F'], inplace=True)
 
+  id: 61
 
 - markdown: |
     ### Renaming axes
@@ -833,12 +895,14 @@ cells:
 - code: |
     pop.info
 
+  id: 62
 
 - code: |
     # 'rename' returns a copy of the array
     pop2 = pop.rename('sex', 'gender')
     pop2
 
+  id: 63
 
 - markdown: |
     Rename several axes at once
@@ -849,6 +913,7 @@ cells:
     pop2 = pop.rename(sex='gender', nat='nationality')
     pop2
 
+  id: 64
 
 - markdown: |
     ### Reordering axes
@@ -863,6 +928,7 @@ cells:
     # starting order : age, sex, nat
     pop
 
+  id: 65
 
 - code: |
     # no argument --> reverse axes
@@ -871,16 +937,19 @@ cells:
     # .T is a shortcut for .transpose()
     pop.T
 
+  id: 66
 
 - code: |
     # reorder according to list
     pop.transpose('age', 'nat', 'sex')
 
+  id: 67
 
 - code: |
     # axes not mentioned come after those which are mentioned (and keep their relative order)
     pop.transpose('sex')
 
+  id: 68
 
 - markdown: |
     ## Aggregates
@@ -892,6 +961,7 @@ cells:
     pop = load_example_data('demography').pop[2016, 'BruCap']
     pop.sum('age')
 
+  id: 69
 
 - markdown: |
     or along all axes except one by appending `_by` to the aggregation function
@@ -902,9 +972,10 @@ cells:
     # is equivalent to 
     pop[90:95].sum('sex', 'nat')
 
+  id: 70
 
 - markdown: |
-    There are many other [aggregation functions](api.rst#aggregation-functions):
+    There are many other aggregation functions:
     
     -  mean, min, max, median, percentile, var (variance), std (standard
        deviation)
@@ -932,6 +1003,7 @@ cells:
     
     strange
 
+  id: 71
 
 - markdown: |
     or rename them
@@ -946,6 +1018,7 @@ cells:
     
     pensioners 
 
+  id: 72
 
 - markdown: |
     Then, use them in selections
@@ -954,6 +1027,7 @@ cells:
 - code: |
     pop[strange]
 
+  id: 73
 
 - markdown: |
     or aggregations
@@ -962,16 +1036,19 @@ cells:
 - code: |
     pop.sum(pensioners)
 
+  id: 74
 
 - code: |
     # several groups (here you see the interest of groups renaming)
     pop.sum((teens, pensioners, strange))
 
+  id: 75
 
 - code: |
     # combined with other axes
     pop.sum((teens, pensioners, strange), 'nat')
 
+  id: 76
 
 - markdown: |
     ## Arithmetic operations
@@ -982,6 +1059,7 @@ cells:
     pop = load_example_data('demography').pop[2016, 'BruCap', 90:95]
     pop
 
+  id: 77
 
 - markdown: |
     One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually
@@ -991,21 +1069,25 @@ cells:
     # addition
     pop + 200
 
+  id: 78
 
 - code: |
     # multiplication
     pop * 2
 
+  id: 79
 
 - code: |
     # ** means raising to the power (squaring in this case)
     pop ** 2
 
+  id: 80
 
 - code: |
     # % means modulo (aka remainder of division)
     pop % 10
 
+  id: 81
 
 - markdown: |
     More interestingly, it also works between two arrays
@@ -1019,6 +1101,7 @@ cells:
     death = pop * mortality
     death
 
+  id: 82
 
 - markdown: |
     <div class="alert alert-info">
@@ -1033,6 +1116,7 @@ cells:
     death = (pop * mortality).astype(int)
     death
 
+  id: 83
 
 - markdown: |
     But operations between two arrays only works when they have compatible axes (i.e. same labels)
@@ -1041,6 +1125,7 @@ cells:
 - code: |
     pop[90:92] * mortality[93:95]
 
+  id: 84
 
 - markdown: |
     You can override that but at your own risk. 
@@ -1050,6 +1135,7 @@ cells:
 - code: |
     pop[90:92] * mortality[93:95].drop_labels('age')
 
+  id: 85
 
 - markdown: |
     ### Boolean Operations
@@ -1060,31 +1146,37 @@ cells:
     pop2['F'] = -pop2['F']
     pop2
 
+  id: 86
 
 - code: |
     # testing for equality is done using == (a single = assigns the value)
     pop == pop2
 
+  id: 87
 
 - code: |
     # testing for inequality
     pop != pop2
 
+  id: 88
 
 - code: |
     # what was our original array like again?
     pop
 
+  id: 89
 
 - code: |
     # & means (boolean array) and
     (pop >= 500) & (pop <= 1000)
 
+  id: 90
 
 - code: |
     # | means (boolean array) or
     (pop < 500) | (pop > 1000)
 
+  id: 91
 
 - markdown: |
     ### Arithmetic operations with missing axes
@@ -1093,21 +1185,25 @@ cells:
 - code: |
     pop.sum('age')
 
+  id: 92
 
 - code: |
     # arr has 3 dimensions
     pop.info
 
+  id: 93
 
 - code: |
     # and arr.sum(age) has two
     pop.sum('age').info
 
+  id: 94
 
 - code: |
     # you can do operation with missing axes so this works
     pop / pop.sum('age')
 
+  id: 95
 
 - markdown: |
     ### Axis order does not matter much (except for output)
@@ -1119,17 +1215,20 @@ cells:
 - code: |
     pop
 
+  id: 96
 
 - code: |
     # let us change the order of axes
     pop_transposed = pop.T
     pop_transposed
 
+  id: 97
 
 - code: |
     # mind blowing
     pop_transposed + pop
 
+  id: 98
 
 - markdown: |
     ## Combining arrays
@@ -1150,12 +1249,14 @@ cells:
     pop = pop.append(nat, pop_non_eu, 'NEU')
     pop
 
+  id: 99
 
 - code: |
     # you can also add something at the start of an axis
     pop = pop.prepend('sex', pop.sum('sex'), 'B')
     pop
 
+  id: 100
 
 - markdown: |
     The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible
@@ -1165,11 +1266,13 @@ cells:
     aliens = zeros(pop.axes['sex'])
     aliens
 
+  id: 101
 
 - code: |
     pop = pop.append('nat', aliens, 'AL')
     pop
 
+  id: 102
 
 - markdown: |
     ### Extend
@@ -1185,6 +1288,7 @@ cells:
     # concatenate along age axis
     pop.extend('age', pop_next)
 
+  id: 103
 
 - markdown: |
     ### Stack
@@ -1205,6 +1309,7 @@ cells:
     
     pop
 
+  id: 104
 
 - markdown: |
     ## Sorting
@@ -1216,6 +1321,7 @@ cells:
     pop_sorted = pop.sort_axes('nat')
     pop_sorted
 
+  id: 105
 
 - markdown: |
     Give labels which would sort the axis   
@@ -1224,6 +1330,7 @@ cells:
 - code: |
     pop_sorted.labelsofsorted('sex')
 
+  id: 106
 
 - markdown: |
     Sort according to values   
@@ -1232,6 +1339,7 @@ cells:
 - code: |
     pop_sorted.sort_values((90, 'F'))
 
+  id: 107
 
 - markdown: |
     ## Plotting
@@ -1242,11 +1350,13 @@ cells:
 - code: |
     pop.plot()
 
+  id: 108
 
 - code: |
     # plot total of both sex
     pop.sum('sex').plot()
 
+  id: 109
 
 - markdown: |
     ## Interesting methods
@@ -1257,6 +1367,7 @@ cells:
     pop = load_example_data('demography').pop[2016, 'BruCap', 100:105]
     pop
 
+  id: 110
 
 - markdown: |
     ### with total
@@ -1267,6 +1378,7 @@ cells:
 - code: |
     pop.with_total('sex', label='B')
 
+  id: 111
 
 - markdown: |
     Add totals to all axes at once
@@ -1276,6 +1388,7 @@ cells:
     # by default label is 'total'
     pop.with_total()
 
+  id: 112
 
 - markdown: |
     ### where
@@ -1287,6 +1400,7 @@ cells:
     # where(condition, value if true, value if false)
     where(pop < 10, 0, -pop)
 
+  id: 113
 
 - markdown: |
     ### clip
@@ -1299,6 +1413,7 @@ cells:
     # values below 10 are set to 10 and values above 50 are set to 50
     pop.clip(10, 50)
 
+  id: 114
 
 - markdown: |
     ### divnot0
@@ -1309,6 +1424,7 @@ cells:
 - code: |
     pop['BE'] / pop['FO']
 
+  id: 115
 
 - code: |
     # divnot0 replaces results of division by 0 by 0. 
@@ -1316,6 +1432,7 @@ cells:
     # because it can hide a real error in your data.
     pop['BE'].divnot0(pop['FO'])
 
+  id: 116
 
 - markdown: |
     ### diff
@@ -1328,16 +1445,19 @@ cells:
     pop = load_example_data('demography').pop[2005:2015, 'BruCap', 50]
     pop
 
+  id: 117
 
 - code: |
     # calculates 'pop[year+1] - pop[year]'
     pop.diff('time')
 
+  id: 118
 
 - code: |
     # calculates 'pop[year+2] - pop[year]'
     pop.diff('time', d=2)
 
+  id: 119
 
 - markdown: |
     ### ratio
@@ -1349,6 +1469,7 @@ cells:
     # which is equivalent to
     pop / pop.sum('nat')
 
+  id: 120
 
 - markdown: |
     ### percents
@@ -1358,6 +1479,7 @@ cells:
     # or, if you want the previous ratios in percents
     pop.percent('nat')
 
+  id: 121
 
 - markdown: |
     ### growth\_rate
@@ -1368,6 +1490,7 @@ cells:
 - code: |
     pop.growth_rate('time')
 
+  id: 122
 
 - markdown: |
     ### shift
@@ -1378,23 +1501,26 @@ cells:
 - code: |
     pop.shift('time')
 
+  id: 123
 
 - code: |
     # when shift is applied on an (increasing) time axis, 
     # it effectively brings "past" data into the future
     pop.shift('time').drop_labels('time') == pop[2005:2014].drop_labels('time')
 
+  id: 124
 
 - code: |
     # this is mostly useful when you want to do operations between the past and now
     # as an example, here is an alternative implementation of the .diff method seen above:
     pop.i[1:] - pop.shift('time')
 
+  id: 125
 
 - markdown: |
     ### Misc other interesting functions
     
-    There are a lot more [interesting functions](api.rst#miscellaneous) available:
+    There are a lot more interesting functions available:
     
     - round, floor, ceil, trunc,
     - exp, log, log10,
@@ -1406,7 +1532,7 @@ cells:
 - markdown: |
     ## Sessions
     
-    You can group several arrays in a [Session](api.rst#session)
+    You can group several arrays in a Session
 
 
 - code: |
@@ -1421,11 +1547,13 @@ cells:
     
     s1
 
+  id: 126
 
 - code: |
     s2 = s1.copy()
     s3 = s1.copy()
 
+  id: 127
   metadata:
     nbsphinx: hidden
 
@@ -1458,20 +1586,24 @@ cells:
 - code: |
     s1.equals(s2)
 
+  id: 128
 
 - code: |
     # let us introduce a difference (a variant, or a mistake perhaps)
     s2.arr1['a0', 'b1':] = 0
 
+  id: 129
 
 - code: |
     s1.equals(s2)
 
+  id: 130
 
 - code: |
     s_diff = s1 != s2
     s_diff
 
+  id: 131
 
 - markdown: |
     This a bit experimental but can be useful nonetheless (open a graphical interface)
@@ -1498,10 +1630,65 @@ metadata:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.3
+    version: 3.6.4
   livereveal:
-    autolaunch: true
+    autolaunch: false
     scroll: true
 nbformat: 4
 nbformat_minor: 2
 
+# ---------------------------------------------------------------------------
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diff --git a/doc/source/tutorial/tutorial.ipynb b/doc/source/tutorial/tutorial.ipynb
index b05b23a3c..5d38f2acf 100644
--- a/doc/source/tutorial/tutorial.ipynb
+++ b/doc/source/tutorial/tutorial.ipynb
@@ -23,7 +23,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To import the LArray library, run:"
+    "To import the LArray library, run:\n"
    ]
   },
   {
@@ -41,8 +41,8 @@
    "source": [
     "## Axis creation\n",
     "\n",
-    "An [Axis](api.rst#Axis) represents a dimension of an LArray object.\n",
-    "It consists of a name and a list of labels. They are several ways to create an axis:"
+    "An Axis represents a dimension of an LArray object.\n",
+    "It consists of a name and a list of labels. They are several ways to create an axis:\n"
    ]
   },
   {
@@ -69,12 +69,12 @@
    "source": [
     "## Array creation\n",
     "\n",
-    "A [LArray](api.rst#LArray) object represents a multidimensional array with labeled axes.\n",
+    "A LArray object represents a multidimensional array with labeled axes.\n",
     "\n",
     "### From scratch\n",
     "\n",
     "To create an array from scratch, you need to provide the data and a list\n",
-    "of axes. Optionally, a title can be defined."
+    "of axes. Optionally, a title can be defined.\n"
    ]
   },
   {
@@ -102,7 +102,7 @@
    "source": [
     "### Array creation functions\n",
     "\n",
-    "Arrays can also be generated in an easier way through [creation functions](api.rst#array-creation-functions):\n",
+    "Arrays can also be generated in an easier way through creation functions:\n",
     "\n",
     "-  `ndtest` : creates a test array with increasing numbers as data\n",
     "-  `empty` : creates an array but leaves its allocated memory\n",
@@ -120,7 +120,7 @@
     "-  as a string : 'sex=M,F;time=2007,2008,2009' (name is optional)\n",
     "-  as pairs (name, labels)\n",
     "\n",
-    "Optionally, the type of data stored by the array can be specified using argument dtype."
+    "Optionally, the type of data stored by the array can be specified using argument dtype.\n"
    ]
   },
   {
@@ -192,7 +192,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "All the above functions exist in *(func)_like* variants which take axes from another array"
+    "All the above functions exist in *(func)_like* variants which take axes from another array\n"
    ]
   },
   {
@@ -208,7 +208,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Sequence"
+    "### Sequence\n"
    ]
   },
   {
@@ -246,7 +246,7 @@
    "metadata": {},
    "source": [
     "You can also create N-dimensional array by passing (N-1)-dimensional\n",
-    "array to initial, inc or mult argument"
+    "array to initial, inc or mult argument\n"
    ]
   },
   {
@@ -276,7 +276,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Load/Dump from files"
+    "## Load/Dump from files\n"
    ]
   },
   {
@@ -305,7 +305,7 @@
     "# read_tsv is a shortcut when data are separated by tabs instead of commas (default separator of read_csv)\n",
     "# read_eurostat is a shortcut to read EUROSTAT TSV files  \n",
     "household = read_csv('hh.csv')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -317,7 +317,7 @@
     "```python\n",
     "# loads array from the first sheet if no sheet is given\n",
     "pop = read_excel('demography.xlsx', 'pop')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -329,14 +329,14 @@
     "\n",
     "```python\n",
     "mortality = read_hdf('demography.h5','qx')\n",
-    "```"
+    "```\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "See documentation of [reading functions](api.rst#read) for more details"
+    "See documentation of reading functions for more details\n"
    ]
   },
   {
@@ -349,7 +349,7 @@
     "\n",
     "```python\n",
     "household.to_csv('hh2.csv')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -364,7 +364,7 @@
     "household.to_excel('demography_2.xlsx', overwrite_file=True)\n",
     "# it is usually better to specify the sheet explicitly (by name or position) though\n",
     "household.to_excel('demography_2.xlsx', 'hh')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -375,21 +375,21 @@
     "\n",
     "```python\n",
     "household.to_hdf('demography_2.h5', 'hh')\n",
-    "```"
+    "```\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "See documentation of [writing methods](api.rst#write) for more details"
+    "See documentation of writing methods for more details\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### more Excel IO"
+    "### more Excel IO\n"
    ]
   },
   {
@@ -402,7 +402,7 @@
     "\n",
     "```python\n",
     "wb = open_excel('test.xlsx', overwrite_file=True)\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -417,7 +417,7 @@
     "# same but starting at A9\n",
     "# note that Sheet1 must exist\n",
     "wb['Sheet1']['A9'] = arr\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -431,7 +431,7 @@
     "wb['Sheet2'] = arr.dump()\n",
     "# same but starting at A10\n",
     "wb['Sheet2']['A10'] = arr.dump()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -442,7 +442,7 @@
     "\n",
     "```python\n",
     "wb.save()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -453,7 +453,7 @@
     "\n",
     "```python\n",
     "wb.close()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -466,7 +466,7 @@
     "\n",
     "```python\n",
     "wb = open_excel('test.xlsx')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -481,7 +481,7 @@
     "\n",
     "# load array from the data starting at A1 in Sheet3\n",
     "arr = wb['Sheet3'].load()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -497,7 +497,7 @@
     "\n",
     "# load array contained in the 4 x 4 table defined by cells A10 and D14\n",
     "arr2 = sheet2['A10:D14'].load()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -510,7 +510,7 @@
     "\n",
     "```python\n",
     "arr3 = wb['Sheet1']['A1:B4']\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -523,7 +523,7 @@
     "type(arr3)\n",
     "\n",
     "larray.io.excel.Range\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -534,7 +534,7 @@
     "\n",
     "```python\n",
     "arr3.sum(axis=0)\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -545,21 +545,21 @@
     "\n",
     "```python\n",
     "arr3.formula = '=D10+1'\n",
-    "```"
+    "```\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In the future, we should also be able to set font name, size, style, etc.   "
+    "In the future, we should also be able to set font name, size, style, etc.   \n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Inspecting"
+    "## Inspecting\n"
    ]
   },
   {
@@ -576,7 +576,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get array summary : dimensions + description of axes"
+    "Get array summary : dimensions + description of axes\n"
    ]
   },
   {
@@ -592,7 +592,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get axes  "
+    "Get axes  \n"
    ]
   },
   {
@@ -608,7 +608,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get array dimensions "
+    "Get array dimensions \n"
    ]
   },
   {
@@ -624,7 +624,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get number of elements  "
+    "Get number of elements  \n"
    ]
   },
   {
@@ -640,7 +640,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Get size in memory"
+    "Get size in memory\n"
    ]
   },
   {
@@ -661,7 +661,7 @@
     "\n",
     "```python\n",
     "view(pop)\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -672,7 +672,7 @@
     "\n",
     "```python\n",
     "pop.to_excel()\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -681,7 +681,7 @@
    "source": [
     "## Selection (Subsets)\n",
     "\n",
-    "LArray allows to select a subset of an array either by labels or positions"
+    "LArray allows to select a subset of an array either by labels or positions\n"
    ]
   },
   {
@@ -692,7 +692,7 @@
     "\n",
     "To take a subset of an array using labels, use brackets [ ].\n",
     "\n",
-    "Let's start by selecting a single element:"
+    "Let's start by selecting a single element:\n"
    ]
   },
   {
@@ -710,7 +710,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Continue with selecting a subset using slices and lists of labels"
+    "Continue with selecting a subset using slices and lists of labels\n"
    ]
   },
   {
@@ -762,7 +762,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. It only matters for output."
+    "The order of indexing does not matter either, so you usually do not care/have to remember about axes positions during computation. It only matters for output.\n"
    ]
   },
   {
@@ -783,7 +783,7 @@
     "**Warning:** Selecting by labels as above works well as long as there is no ambiguity.\n",
     "   When two or more axes have common labels, it may lead to a crash.\n",
     "   The solution is then to precise to which axis belong the labels.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -833,7 +833,7 @@
     "\n",
     "This gives you acces to axes of the array you are manipulating. The main\n",
     "drawback of using **X** is that you lose the autocompletion available from\n",
-    "many editors. It only works with non-wildcard axes."
+    "many editors. It only works with non-wildcard axes.\n"
    ]
   },
   {
@@ -855,7 +855,7 @@
     "Sometimes it is more practical to use positions along the axis, instead of labels. \n",
     "You need to add the character ``i`` before the brackets: ``.i[positions]``. \n",
     "As for selection with labels, you can use single position or slice or list of positions. \n",
-    "Positions can be also negative (-1 represent the last element of an axis)."
+    "Positions can be also negative (-1 represent the last element of an axis).\n"
    ]
   },
   {
@@ -865,7 +865,7 @@
     "<div class=\"alert alert-info\">\n",
     "**Note:** Remember that positions (indices) are always **0-based** in Python.\n",
     "So the first element is at position 0, the second is at position 1, etc.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -905,7 +905,7 @@
    "source": [
     "<div class=\"alert alert-warning\">\n",
     "**Warning:** The end *indice* (position) is EXCLUSIVE while the end label is INCLUSIVE.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -933,7 +933,7 @@
    "metadata": {},
    "source": [
     "You can use ``.i[]`` selection directly on array instead of axes. \n",
-    "In this context, if you want to select a subset of the first and third axes for example, you must use a full slice ``:`` for the second one."
+    "In this context, if you want to select a subset of the first and third axes for example, you must use a full slice ``:`` for the second one.\n"
    ]
   },
   {
@@ -955,7 +955,7 @@
     "\n",
     "#### Assigning value\n",
     "\n",
-    "Assign a value to a subset"
+    "Assign a value to a subset\n"
    ]
   },
   {
@@ -999,7 +999,7 @@
     "   original array**\n",
     "-  **.copy()** returns a copy of the subset (takes speed and memory) but\n",
     "   allows you to change the subset without modifying the original array\n",
-    "   in the same time"
+    "   in the same time\n"
    ]
   },
   {
@@ -1044,7 +1044,7 @@
     "\n",
     "Instead of a value, we can also assign an array to a subset. In that\n",
     "case, that array can have less axes than the target but those which are\n",
-    "present must be compatible with the subset being targeted."
+    "present must be compatible with the subset being targeted.\n"
    ]
   },
   {
@@ -1077,7 +1077,7 @@
    "source": [
     "<div class=\"alert alert-warning\">\n",
     "**Warning:** The array being assigned must have compatible axes with the target subset.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -1118,7 +1118,7 @@
    "source": [
     "### Boolean filtering\n",
     "\n",
-    "Boolean filtering can be use to extract subsets."
+    "Boolean filtering can be use to extract subsets.\n"
    ]
   },
   {
@@ -1141,7 +1141,7 @@
    "source": [
     "<div class=\"alert alert-info\">\n",
     "**Note:** Be aware that after boolean filtering, several axes may have merged.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -1158,7 +1158,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This may be not what you because previous selections on merged axes are no longer valid"
+    "This may be not what you because previous selections on merged axes are no longer valid\n"
    ]
   },
   {
@@ -1175,7 +1175,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements"
+    "Therefore, it is sometimes more useful to not select, but rather set to 0 (or another value) non matching elements\n"
    ]
   },
   {
@@ -1203,7 +1203,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Boolean filtering can also mix axes and arrays. Example above could also have been written as"
+    "Boolean filtering can also mix axes and arrays. Example above could also have been written as\n"
    ]
   },
   {
@@ -1241,7 +1241,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Finally, you can choose to filter on data instead of axes"
+    "Finally, you can choose to filter on data instead of axes\n"
    ]
   },
   {
@@ -1270,7 +1270,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Manipulates axes from arrays"
+    "## Manipulates axes from arrays\n"
    ]
   },
   {
@@ -1290,7 +1290,7 @@
    "source": [
     "### Relabeling\n",
     "\n",
-    "Replace all labels of one axis"
+    "Replace all labels of one axis\n"
    ]
   },
   {
@@ -1320,7 +1320,7 @@
    "source": [
     "### Renaming axes\n",
     "\n",
-    "Rename one axis"
+    "Rename one axis\n"
    ]
   },
   {
@@ -1347,7 +1347,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Rename several axes at once"
+    "Rename several axes at once\n"
    ]
   },
   {
@@ -1370,7 +1370,7 @@
     "Axes can be reordered using ``transpose`` method. \n",
     "By default, *transpose* reverse axes, otherwise it permutes the axes according to the list given as argument.\n",
     "Axes not mentioned come after those which are mentioned(and keep their relative order).\n",
-    "Finally, *transpose* returns a copy of the array."
+    "Finally, *transpose* returns a copy of the array.\n"
    ]
   },
   {
@@ -1422,7 +1422,7 @@
    "source": [
     "## Aggregates\n",
     "\n",
-    "Calculate the sum along an axis"
+    "Calculate the sum along an axis\n"
    ]
   },
   {
@@ -1439,7 +1439,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "or along all axes except one by appending `_by` to the aggregation function"
+    "or along all axes except one by appending `_by` to the aggregation function\n"
    ]
   },
   {
@@ -1457,7 +1457,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There are many other [aggregation functions](api.rst#aggregation-functions):\n",
+    "There are many other aggregation functions:\n",
     "\n",
     "-  mean, min, max, median, percentile, var (variance), std (standard\n",
     "   deviation)\n",
@@ -1465,7 +1465,7 @@
     "   value is minimum/maximum)\n",
     "-  indexofmin, indexofmax (positional indirect minimum/maxium -- position\n",
     "   along axis where the value is minimum/maximum)\n",
-    "-  cumsum, cumprod (cumulative sum, cumulative product)"
+    "-  cumsum, cumprod (cumulative sum, cumulative product)\n"
    ]
   },
   {
@@ -1474,7 +1474,7 @@
    "source": [
     "## Groups\n",
     "\n",
-    "One can define groups of labels (or indices)"
+    "One can define groups of labels (or indices)\n"
    ]
   },
   {
@@ -1498,7 +1498,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "or rename them"
+    "or rename them\n"
    ]
   },
   {
@@ -1520,7 +1520,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Then, use them in selections"
+    "Then, use them in selections\n"
    ]
   },
   {
@@ -1536,7 +1536,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "or aggregations"
+    "or aggregations\n"
    ]
   },
   {
@@ -1572,7 +1572,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Arithmetic operations"
+    "## Arithmetic operations\n"
    ]
   },
   {
@@ -1590,7 +1590,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually"
+    "One can do all usual arithmetic operations on an array, it will apply the operation to all elements individually\n"
    ]
   },
   {
@@ -1637,7 +1637,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "More interestingly, it also works between two arrays"
+    "More interestingly, it also works between two arrays\n"
    ]
   },
   {
@@ -1661,7 +1661,7 @@
     "<div class=\"alert alert-info\">\n",
     "**Note:** Be careful when mixing different data types.\n",
     "You can use the method ``astype`` to change the data type of an array.\n",
-    "</div>"
+    "</div>\n"
    ]
   },
   {
@@ -1680,7 +1680,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "But operations between two arrays only works when they have compatible axes (i.e. same labels)"
+    "But operations between two arrays only works when they have compatible axes (i.e. same labels)\n"
    ]
   },
   {
@@ -1697,7 +1697,7 @@
    "metadata": {},
    "source": [
     "You can override that but at your own risk. \n",
-    "In that case only the position on the axis is used and not the labels."
+    "In that case only the position on the axis is used and not the labels.\n"
    ]
   },
   {
@@ -1713,7 +1713,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Boolean Operations"
+    "### Boolean Operations\n"
    ]
   },
   {
@@ -1781,7 +1781,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Arithmetic operations with missing axes"
+    "### Arithmetic operations with missing axes\n"
    ]
   },
   {
@@ -1830,7 +1830,7 @@
     "### Axis order does not matter much (except for output)\n",
     "\n",
     "You can do operations between arrays having different axes order.\n",
-    "The axis order of the result is the same as the left array"
+    "The axis order of the result is the same as the left array\n"
    ]
   },
   {
@@ -1871,7 +1871,7 @@
     "\n",
     "### Append/Prepend\n",
     "\n",
-    "Append/prepend one element to an axis of an array"
+    "Append/prepend one element to an axis of an array\n"
    ]
   },
   {
@@ -1906,7 +1906,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible"
+    "The value being appended/prepended can have missing (or even extra) axes as long as common axes are compatible\n"
    ]
   },
   {
@@ -1935,7 +1935,7 @@
    "source": [
     "### Extend\n",
     "\n",
-    "Extend an array along an axis with another array *with* that axis (but other labels)"
+    "Extend an array along an axis with another array *with* that axis (but other labels)\n"
    ]
   },
   {
@@ -1958,7 +1958,7 @@
    "source": [
     "### Stack\n",
     "\n",
-    "Stack several arrays together to create an entirely new dimension"
+    "Stack several arrays together to create an entirely new dimension\n"
    ]
   },
   {
@@ -1986,7 +1986,7 @@
    "source": [
     "## Sorting\n",
     "\n",
-    "Sort an axis (alphabetically if labels are strings)"
+    "Sort an axis (alphabetically if labels are strings)\n"
    ]
   },
   {
@@ -2003,7 +2003,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Give labels which would sort the axis   "
+    "Give labels which would sort the axis   \n"
    ]
   },
   {
@@ -2019,7 +2019,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Sort according to values   "
+    "Sort according to values   \n"
    ]
   },
   {
@@ -2037,7 +2037,7 @@
    "source": [
     "## Plotting\n",
     "\n",
-    "Create a plot (last axis define the different curves to draw)"
+    "Create a plot (last axis define the different curves to draw)\n"
    ]
   },
   {
@@ -2063,7 +2063,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Interesting methods"
+    "## Interesting methods\n"
    ]
   },
   {
@@ -2083,7 +2083,7 @@
    "source": [
     "### with total\n",
     "\n",
-    "Add totals to one axis"
+    "Add totals to one axis\n"
    ]
   },
   {
@@ -2099,7 +2099,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Add totals to all axes at once"
+    "Add totals to all axes at once\n"
    ]
   },
   {
@@ -2118,7 +2118,7 @@
    "source": [
     "### where\n",
     "\n",
-    "where can be used to apply some computation depending on a condition"
+    "where can be used to apply some computation depending on a condition\n"
    ]
   },
   {
@@ -2137,7 +2137,7 @@
    "source": [
     "### clip\n",
     "\n",
-    "Set all data between a certain range"
+    "Set all data between a certain range\n"
    ]
   },
   {
@@ -2157,7 +2157,7 @@
    "source": [
     "### divnot0\n",
     "\n",
-    "Replace division by 0 to 0"
+    "Replace division by 0 to 0\n"
    ]
   },
   {
@@ -2188,7 +2188,7 @@
     "### diff\n",
     "\n",
     "The ``diff`` method calculates the n-th order discrete difference along a given axis.\n",
-    "The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis."
+    "The first order difference is given by out[n+1] = in[n + 1] - in[n] along the given axis.\n"
    ]
   },
   {
@@ -2225,7 +2225,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### ratio"
+    "### ratio\n"
    ]
   },
   {
@@ -2244,7 +2244,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### percents"
+    "### percents\n"
    ]
   },
   {
@@ -2263,7 +2263,7 @@
    "source": [
     "### growth\\_rate\n",
     "\n",
-    "using the same principle than `diff`   "
+    "using the same principle than `diff`   \n"
    ]
   },
   {
@@ -2281,7 +2281,7 @@
    "source": [
     "### shift\n",
     "\n",
-    "The ``shift`` method drops first label of an axis and shifts all subsequent labels"
+    "The ``shift`` method drops first label of an axis and shifts all subsequent labels\n"
    ]
   },
   {
@@ -2321,13 +2321,13 @@
    "source": [
     "### Misc other interesting functions\n",
     "\n",
-    "There are a lot more [interesting functions](api.rst#miscellaneous) available:\n",
+    "There are a lot more interesting functions available:\n",
     "\n",
     "- round, floor, ceil, trunc,\n",
     "- exp, log, log10,\n",
     "- sqrt, absolute, nan_to_num, isnan, isinf, inverse,\n",
     "- sin, cos, tan, arcsin, arccos, arctan\n",
-    "- and many many more..."
+    "- and many many more...\n"
    ]
   },
   {
@@ -2336,7 +2336,7 @@
    "source": [
     "## Sessions\n",
     "\n",
-    "You can group several arrays in a [Session](api.rst#session)"
+    "You can group several arrays in a Session\n"
    ]
   },
   {
@@ -2384,7 +2384,7 @@
     "\n",
     "# this creates a session out of all arrays in the .h5 file\n",
     "s2 = Session('test.h5')\n",
-    "```"
+    "```\n"
    ]
   },
   {
@@ -2394,14 +2394,14 @@
     "```python\n",
     "# this creates a session out of all arrays in the .xlsx file\n",
     "s3 = Session('test.xlsx')\n",
-    "```"
+    "```\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can compare two sessions"
+    "You can compare two sessions\n"
    ]
   },
   {
@@ -2450,7 +2450,7 @@
     "\n",
     "```python\n",
     "compare(s1_diff.arr1, s2_diff.arr1)\n",
-    "```"
+    "```\n"
    ]
   }
  ],
@@ -2471,10 +2471,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   },
   "livereveal": {
-   "autolaunch": true,
+   "autolaunch": false,
    "scroll": true
   }
  },

From 6044aad7ffbc737eb9746bb5229ff8a66e2ac867 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Wed, 14 Mar 2018 09:12:06 +0100
Subject: [PATCH 895/899] updated changelog 0.28 --> added changelog for issue
 73 (tutorial on myBinder)

---
 doc/source/changes/version_0_28.rst.inc | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/doc/source/changes/version_0_28.rst.inc b/doc/source/changes/version_0_28.rst.inc
index 50110a799..867b73787 100644
--- a/doc/source/changes/version_0_28.rst.inc
+++ b/doc/source/changes/version_0_28.rst.inc
@@ -21,6 +21,9 @@
 New features
 ------------
 
+* made it possible to run the tutorial online (as a Jupyter notebook) by clicking on the ``launch|binder`` badge
+  on top of the tutorial web page (closes :issue:`73`)
+
 * added methods `array_equals` and `equals` to `Session` object to compare arrays from two sessions.
   The method `array_equals` return a boolean value for each array while the method `equals` returns a unique
   boolean value (True if all arrays of both sessions are equal, False otherwise):

From cda5ff61aa05f7ddefce657b3b37f76ce363a10d Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Fri, 9 Mar 2018 10:34:34 +0100
Subject: [PATCH 896/899] issue 502 : replaced 'liam2' by 'larray-project' in
 all references to larray github repository

---
 README.rst                   | 8 ++++----
 condarecipe/larray/meta.yaml | 4 ++--
 doc/source/conf.py           | 4 ++--
 doc/source/contribute.rst    | 2 +-
 larray/core/array.py         | 2 +-
 make_release.py              | 2 +-
 setup.py                     | 2 +-
 7 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/README.rst b/README.rst
index b9beae556..ec9ffa48d 100644
--- a/README.rst
+++ b/README.rst
@@ -63,7 +63,7 @@ Building from source
 --------------------
 
 The latest release of LArray is available from
-https://github.com/liam2/larray.git
+https://github.com/larray-project/larray.git
 
 Once you have satisfied the requirements detailed below, simply run::
 
@@ -142,14 +142,14 @@ Get in touch
 
 .. _mailing list: https://groups.google.com/d/forum/larray-announce
 .. _Google Users Group: https://groups.google.com/d/forum/larray-users
-.. _GitHub website: http://github.com/liam2/larray
+.. _GitHub website: http://github.com/larray-project/larray
 
 .. end-readme-file
 
-.. |build-status| image:: https://travis-ci.org/liam2/larray.svg?branch=master
+.. |build-status| image:: https://travis-ci.org/larray-project/larray.svg?branch=master
     :alt: build status
     :scale: 100%
-    :target: https://travis-ci.org/liam2/larray
+    :target: https://travis-ci.org/larray-project/larray
 
 .. |docs| image:: https://readthedocs.org/projects/larray/badge/?version=stable
     :alt: Documentation Status
diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 3fb959416..9fb12087b 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -4,7 +4,7 @@ package:
 
 source:
   git_tag: 0.28-dev
-  git_url: https://github.com/liam2/larray.git
+  git_url: https://github.com/larray-project/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
 
@@ -50,7 +50,7 @@ test:
     # - nose
 
 about:
-  home: http://github.com/liam2/larray
+  home: http://github.com/larray-project/larray
   license: GPL
   summary: "Labeled N-dimensional array."
 
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 0f724e41e..7535bc0cb 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -48,7 +48,7 @@
 ]
 
 extlinks = {
-    'issue': ('https://github.com/liam2/larray/issues/%s', 'issue '),
+    'issue': ('https://github.com/larray-project/larray/issues/%s', 'issue '),
     'editor_issue': ('https://github.com/larray-project/larray-editor/issues/%s', 'issue ')
 }
 
@@ -83,7 +83,7 @@
         
     .. nbinfo::
         Interactive online version:
-        :raw-html:`<a href="https://mybinder.org/v2/gh/liam2/larray/{{ env.config.release }}?
+        :raw-html:`<a href="https://mybinder.org/v2/gh/larray-project/larray/{{ env.config.release }}?
         filepath={{ docname }}"><img alt="Binder badge" src="https://mybinder.org/badge.svg" 
         style="vertical-align:text-bottom"></a>`
 """
diff --git a/doc/source/contribute.rst b/doc/source/contribute.rst
index 91c2d550d..d68868850 100644
--- a/doc/source/contribute.rst
+++ b/doc/source/contribute.rst
@@ -13,7 +13,7 @@ Getting the code (for the first time)
 
 - clone the repository on your local machine ::
 
-  > git clone https://github.com/liam2/larray.git
+  > git clone https://github.com/larray-project/larray.git
 
 
 Installing the module
diff --git a/larray/core/array.py b/larray/core/array.py
index 221289017..70f58d7e9 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1134,7 +1134,7 @@ def describe(self, *args, **kwargs):
         labels = ['count', 'mean', 'std', 'min'] + plabels + ['max']
         percentiles = [0] + list(percentiles) + [100]
         # TODO: we should use the commented code using  *self.percentile(percentiles, *args) but this does not work
-        # when *args is not empty (see https://github.com/liam2/larray/issues/192)
+        # when *args is not empty (see https://github.com/larray-project/larray/issues/192)
         # return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args),
         #               *self.percentile(percentiles, *args)], Axis(labels, 'stats'))
         return stack([(~np.isnan(self)).sum(*args), self.mean(*args), self.std(*args)] +
diff --git a/make_release.py b/make_release.py
index ded571283..822edaa52 100644
--- a/make_release.py
+++ b/make_release.py
@@ -20,7 +20,7 @@
 PACKAGE_NAME = "larray"
 SRC_CODE = "larray"
 SRC_DOC = join('doc', 'source')
-GITHUB_REP = "https://github.com/liam2/larray"
+GITHUB_REP = "https://github.com/larray-project/larray"
 CONDA_FEEDSTOCK_REP = "https://github.com/larray-project/larray-feedstock.git"
 
 LARRAY_READTHEDOCS = "http://larray.readthedocs.io/en/stable/"
diff --git a/setup.py b/setup.py
index 5aa2226db..0b400e438 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@ def readlocal(fname):
 SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'
-URL = 'https://github.com/liam2/larray'
+URL = 'https://github.com/larray-project/larray'
 PACKAGE_DATA = {'larray': ['tests/data/*']}
 
 CLASSIFIERS = [

From 5461ba2da9b4c02130b038314802f7362f47e517 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 15 Mar 2018 12:03:07 +0100
Subject: [PATCH 897/899] bump version to 0.28

---
 condarecipe/larray/meta.yaml | 4 ++--
 larray/__init__.py           | 2 +-
 setup.py                     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index 9fb12087b..a17a40d04 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -1,9 +1,9 @@
 package:
   name: larray
-  version: 0.28-dev
+  version: 0.28
 
 source:
-  git_tag: 0.28-dev
+  git_tag: 0.28
   git_url: https://github.com/larray-project/larray.git
 #  git_tag: master
 #  git_url: file://c:/Users/gdm/devel/larray/.git
diff --git a/larray/__init__.py b/larray/__init__.py
index 5f8ebb149..733e08b23 100644
--- a/larray/__init__.py
+++ b/larray/__init__.py
@@ -7,4 +7,4 @@
 from larray.extra import *
 from larray.viewer import *
 
-__version__ = '0.28-dev'
+__version__ = '0.28'
diff --git a/setup.py b/setup.py
index 0b400e438..c565df514 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@ def readlocal(fname):
 
 
 DISTNAME = 'larray'
-VERSION = '0.28-dev'
+VERSION = '0.28'
 AUTHOR = 'Gaetan de Menten, Geert Bryon, Johan Duyck, Alix Damman'
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"

From 702cfb466ec0e093dee6fda1a1f8d7204325e38f Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 15 Mar 2018 12:03:39 +0100
Subject: [PATCH 898/899] update release date for 0.28

---
 doc/source/changes.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/changes.rst b/doc/source/changes.rst
index 4e465e827..04fd96e56 100644
--- a/doc/source/changes.rst
+++ b/doc/source/changes.rst
@@ -4,7 +4,7 @@
 Version 0.28
 ============
 
-In development.
+Released on 2018-03-15.
 
 .. include:: ./changes/version_0_28.rst.inc
 

From 4547f31af845c6f82397901bf6d402b2b7e0ab91 Mon Sep 17 00:00:00 2001
From: Alix Damman <ald@plan.be>
Date: Thu, 26 Jul 2018 12:10:32 +0200
Subject: [PATCH 899/899] fix #569 : removed the <0.21 condition on pandas
 version

---
 .travis.yml                  |   4 +-
 condarecipe/larray/meta.yaml |   4 +-
 larray/core/array.py         |   6 +-
 larray/tests/test_array.py   | 752 ++++++++++++++++++++++++++++++++++-
 setup.py                     |   4 +-
 5 files changed, 760 insertions(+), 10 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index befb58011..8c412503d 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -46,8 +46,8 @@ install:
     # might want to avoid the later by installing all dependencies manually
     # except scipy and install pandas with --no-deps
     - conda create -n travisci --yes python=${TRAVIS_PYTHON_VERSION:0:3}
-            numpy "pandas<0.21" pytables pyqt qtpy matplotlib xlrd openpyxl
-            xlsxwriter pytest pytest-qt
+            numpy pandas pytables pyqt qtpy matplotlib xlrd openpyxl
+            xlsxwriter pytest pytest-pep8
     - source activate travisci
 
 script:
diff --git a/condarecipe/larray/meta.yaml b/condarecipe/larray/meta.yaml
index a17a40d04..3fe795002 100644
--- a/condarecipe/larray/meta.yaml
+++ b/condarecipe/larray/meta.yaml
@@ -18,13 +18,13 @@ requirements:
     - python
     - setuptools
     - numpy >=1.10
-    - pandas >=0.13.1,<0.21
+    - pandas >=0.13.1
     - pytest-runner
 
   run:
     - python
     - numpy >=1.10
-    - pandas >=0.13.1,<0.21
+    - pandas >=0.13.1
     - pytest-runner
 
 test:
diff --git a/larray/core/array.py b/larray/core/array.py
index 70f58d7e9..b79263a55 100644
--- a/larray/core/array.py
+++ b/larray/core/array.py
@@ -1009,8 +1009,10 @@ def to_frame(self, fold_last_axis_name=False, dropna=None):
                 tmp = axes_names[-1] if axes_names[-1] is not None else ''
                 if self.axes[-1].name:
                     axes_names[-1] = "{}\\{}".format(tmp, self.axes[-1].name)
-
-            index = pd.MultiIndex.from_product(self.axes.labels[:-1], names=axes_names)
+            if self.ndim == 2:
+                index = pd.Index(data=self.axes[0].labels, name=axes_names[0])
+            else:
+                index = pd.MultiIndex.from_product(self.axes.labels[:-1], names=axes_names)
         else:
             index = pd.Index([''])
             if fold_last_axis_name:
diff --git a/larray/tests/test_array.py b/larray/tests/test_array.py
index 8f1e0f2b1..165d833d0 100644
--- a/larray/tests/test_array.py
+++ b/larray/tests/test_array.py
@@ -3359,8 +3359,756 @@ def test_to_excel_xlsxwriter(self):
         res = read_excel(fpath, 'other', engine='xlrd')
         assert_array_equal(res, a3)
 
-        # passing group as sheet_name
-        a3 = ndtest((4, 3, 4))
+    #################
+    # narrow format #
+    #################
+    arr = read_excel(inputpath('test_narrow.xlsx'), '1d', wide=False)
+    assert_array_equal(arr, io_1d)
+
+    arr = read_excel(inputpath('test_narrow.xlsx'), '2d', wide=False)
+    assert_array_equal(arr, io_2d)
+
+    arr = read_excel(inputpath('test_narrow.xlsx'), '3d', wide=False)
+    assert_array_equal(arr, io_3d)
+
+    # missing rows + fill_value argument
+    arr = read_excel(inputpath('test_narrow.xlsx'), 'missing_values', fill_value=42, wide=False)
+    expected = io_narrow_missing_values.copy()
+    expected[isnan(expected)] = 42
+    assert_array_equal(arr, expected)
+
+    # unsorted values
+    arr = read_excel(inputpath('test_narrow.xlsx'), 'unsorted', wide=False)
+    assert_array_equal(arr, io_unsorted)
+
+    ##############################
+    #  invalid keyword argument  #
+    ##############################
+
+    with pytest.raises(TypeError, message="'dtype' is an invalid keyword argument for this function "
+                                          "when using the xlwings backend"):
+        read_excel(inputpath('test.xlsx'), engine='xlwings', dtype=float)
+
+    #################
+    #  blank cells  #
+    #################
+
+    # Excel sheet with blank cells on right/bottom border of the array to read
+    fpath = inputpath('test_blank_cells.xlsx')
+    good = read_excel(fpath, 'good')
+    bad1 = read_excel(fpath, 'blanksafter_morerowsthancols')
+    bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows')
+    assert_array_equal(bad1, good)
+    assert_array_equal(bad2, good)
+    # with additional empty column in the middle of the array to read
+    good2 = ndtest('a=a0,a1;b=2003..2006').astype(object)
+    good2[2005] = None
+    good2 = good2.set_axes('b', Axis([2003, 2004, None, 2006], 'b'))
+    bad3 = read_excel(fpath, 'middleblankcol')
+    bad4 = read_excel(fpath, '16384col')
+    assert_array_equal(bad3, good2)
+    assert_array_equal(bad4, good2)
+
+
+def test_read_excel_pandas():
+    arr = read_excel(inputpath('test.xlsx'), '1d', engine='xlrd')
+    assert_array_equal(arr, io_1d)
+
+    arr = read_excel(inputpath('test.xlsx'), '2d', nb_axes=2, engine='xlrd')
+    assert_array_equal(arr, io_2d)
+
+    arr = read_excel(inputpath('test.xlsx'), '2d', engine='xlrd')
+    assert_array_equal(arr, io_2d)
+
+    arr = read_excel(inputpath('test.xlsx'), '3d', index_col=[0, 1], engine='xlrd')
+    assert_array_equal(arr, io_3d)
+
+    arr = read_excel(inputpath('test.xlsx'), '3d', engine='xlrd')
+    assert_array_equal(arr, io_3d)
+
+    arr = read_excel(inputpath('test.xlsx'), 'int_labels', engine='xlrd')
+    assert_array_equal(arr, io_int_labels)
+
+    arr = read_excel(inputpath('test.xlsx'), '2d_classic', engine='xlrd')
+    assert_array_equal(arr, ndtest("a=a0..a2; b0..b2"))
+
+    # passing a Group as sheet arg
+    axis = Axis('dim=1d,2d,3d,5d')
+
+    arr = read_excel(inputpath('test.xlsx'), axis['1d'], engine='xlrd')
+    assert_array_equal(arr, io_1d)
+
+    # missing rows + fill_value argument
+    arr = read_excel(inputpath('test.xlsx'), 'missing_values', fill_value=42, engine='xlrd')
+    expected = io_missing_values.copy()
+    expected[isnan(expected)] = 42
+    assert_array_equal(arr, expected)
+
+    #################
+    # narrow format #
+    #################
+    arr = read_excel(inputpath('test_narrow.xlsx'), '1d', wide=False, engine='xlrd')
+    assert_array_equal(arr, io_1d)
+
+    arr = read_excel(inputpath('test_narrow.xlsx'), '2d', wide=False, engine='xlrd')
+    assert_array_equal(arr, io_2d)
+
+    arr = read_excel(inputpath('test_narrow.xlsx'), '3d', wide=False, engine='xlrd')
+    assert_array_equal(arr, io_3d)
+
+    # missing rows + fill_value argument
+    arr = read_excel(inputpath('test_narrow.xlsx'), 'missing_values',
+                     fill_value=42, wide=False, engine='xlrd')
+    expected = io_narrow_missing_values
+    expected[isnan(expected)] = 42
+    assert_array_equal(arr, expected)
+
+    # unsorted values
+    arr = read_excel(inputpath('test_narrow.xlsx'), 'unsorted', wide=False, engine='xlrd')
+    assert_array_equal(arr, io_unsorted)
+
+    #################
+    #  blank cells  #
+    #################
+
+    # Excel sheet with blank cells on right/bottom border of the array to read
+    fpath = inputpath('test_blank_cells.xlsx')
+    good1 = read_excel(fpath, 'good', engine='xlrd')
+    bad1 = read_excel(fpath, 'blanksafter_morerowsthancols', engine='xlrd')
+    bad2 = read_excel(fpath, 'blanksafter_morecolsthanrows', engine='xlrd')
+    assert_array_equal(bad1, good1)
+    assert_array_equal(bad2, good1)
+
+    # with additional empty column in the middle of the array to read
+    good2 = ndtest('a=a0,a1;b=2003..2006').astype(float)
+    good2[2005] = nan
+    good2 = good2.set_axes('b', Axis([2003, 2004, 'Unnamed: 3', 2006], 'b'))
+    bad3 = read_excel(fpath, 'middleblankcol', engine='xlrd')
+    bad4 = read_excel(fpath, '16384col', engine='xlrd')
+    assert_array_nan_equal(bad3, good2)
+    assert_array_nan_equal(bad4, good2)
+
+
+def test_from_lists():
+    # sort_rows
+    arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                      ['F', 'BE', 0, 0, 1],
+                      ['F', 'FO', 0, 0, 2],
+                      ['M', 'BE', 1, 0, 0],
+                      ['M', 'FO', 2, 0, 0]])
+    sorted_arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                             ['M', 'BE', 1, 0, 0],
+                             ['M', 'FO', 2, 0, 0],
+                             ['F', 'BE', 0, 0, 1],
+                             ['F', 'FO', 0, 0, 2]], sort_rows=True)
+    assert_array_equal(sorted_arr, arr)
+
+    # sort_columns
+    arr = from_lists([['sex', 'nat\\year', 1991, 1992, 1993],
+                      ['M', 'BE', 1, 0, 0],
+                      ['M', 'FO', 2, 0, 0],
+                      ['F', 'BE', 0, 0, 1],
+                      ['F', 'FO', 0, 0, 2]])
+    sorted_arr = from_lists([['sex', 'nat\\year', 1992, 1991, 1993],
+                             ['M', 'BE', 0, 1, 0],
+                             ['M', 'FO', 0, 2, 0],
+                             ['F', 'BE', 0, 0, 1],
+                             ['F', 'FO', 0, 0, 2]], sort_columns=True)
+    assert_array_equal(sorted_arr, arr)
+
+
+def test_from_series():
+    # Series with Index as index
+    expected = ndtest(3)
+    s = pd.Series([0, 1, 2], index=pd.Index(['a0', 'a1', 'a2'], name='a'))
+    assert_array_equal(from_series(s), expected)
+
+    s = pd.Series([2, 0, 1], index=pd.Index(['a2', 'a0', 'a1'], name='a'))
+    assert_array_equal(from_series(s, sort_rows=True), expected)
+
+    expected = ndtest(3)[['a2', 'a0', 'a1']]
+    assert_array_equal(from_series(s), expected)
+
+    # Series with MultiIndex as index
+    age = Axis('age=0..3')
+    gender = Axis('gender=M,F')
+    time = Axis('time=2015..2017')
+    expected = ndtest((age, gender, time))
+
+    index = pd.MultiIndex.from_product(expected.axes.labels, names=expected.axes.names)
+    data = expected.data.flatten()
+    s = pd.Series(data, index)
+
+    res = from_series(s)
+    assert_array_equal(res, expected)
+
+    res = from_series(s, sort_rows=True)
+    assert_array_equal(res, expected.sort_axes())
+
+    expected[0, 'F'] = -1
+    s = s.reset_index().drop([3, 4, 5]).set_index(['age', 'gender', 'time'])[0]
+    res = from_series(s, fill_value=-1)
+    assert_array_equal(res, expected)
+
+
+def test_from_frame():
+    # 1) data = scalar
+    # ================
+    # Dataframe becomes 1D LArray
+    data = np.array([10])
+    index = ['i0']
+    columns = ['c0']
+    axis_index, axis_columns = Axis(index), Axis(columns)
+
+    df = pd.DataFrame(data, index=index, columns=columns)
+    assert df.index.name is None
+    assert df.columns.name is None
+    assert list(df.index.values) == index
+    assert list(df.columns.values) == columns
+
+    # anonymous indexes/columns
+    # input dataframe:
+    # ----------------
+    #     c0
+    # i0  10
+    # output LArray:
+    # --------------
+    # {0}\{1}  c0
+    #      i0  10
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, 1)
+    assert la.axes.names == [None, None]
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, 1)), [axis_index, axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous columns
+    # input dataframe:
+    # ----------------
+    #        c0
+    # index
+    # i0     10
+    # output LArray:
+    # --------------
+    # index\{1}  c0
+    #        i0  10
+    df.index.name, df.columns.name = 'index', None
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, 1)
+    assert la.axes.names == ['index', None]
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, 1)), [axis_index.rename('index'), axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous index
+    # input dataframe:
+    # ----------------
+    # columns  c0
+    # i0       10
+    # output LArray:
+    # --------------
+    # {0}\columns  c0
+    #          i0  10
+    df.index.name, df.columns.name = None, 'columns'
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, 1)
+    assert la.axes.names == [None, 'columns']
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, 1)), [axis_index, axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # index and columns with name
+    # input dataframe:
+    # ----------------
+    # columns  c0
+    # index
+    # i0       10
+    # output LArray:
+    # --------------
+    # index\columns  c0
+    #            i0  10
+    df.index.name, df.columns.name = 'index', 'columns'
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, 1)
+    assert la.axes.names == ['index', 'columns']
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, 1)), [axis_index.rename('index'), axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # 2) data = vector
+    # ================
+    size = 3
+
+    # 2A) data = horizontal vector (1 x N)
+    # ====================================
+    # Dataframe becomes 1D LArray
+    data = np.arange(size)
+    indexes = ['i0']
+    columns = ['c{}'.format(i) for i in range(size)]
+    axis_index, axis_columns = Axis(indexes), Axis(columns)
+
+    df = pd.DataFrame(data.reshape(1, size), index=indexes, columns=columns)
+    assert df.index.name is None
+    assert df.columns.name is None
+    assert list(df.index.values) == indexes
+    assert list(df.columns.values) == columns
+
+    # anonymous indexes/columns
+    # input dataframe:
+    # ----------------
+    #     c0  c1  c2
+    # i0   0   1   2
+    # output LArray:
+    # --------------
+    # {0}\{1}  c0  c1  c2
+    #      i0   0   1   2
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, size)
+    assert la.axes.names == [None, None]
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, size)), [axis_index, axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous columns
+    # input dataframe:
+    # ----------------
+    #        c0  c1  c2
+    # index
+    # i0      0   1   2
+    # output LArray:
+    # --------------
+    # index\{1}  c0  c1  c2
+    #        i0   0   1   2
+    df.index.name, df.columns.name = 'index', None
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, size)
+    assert la.axes.names == ['index', None]
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, size)), [axis_index.rename('index'), axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous index
+    # input dataframe:
+    # ----------------
+    # columns  c0  c1  c2
+    # i0        0   1   2
+    # output LArray:
+    # --------------
+    # {0}\columns  c0  c1  c2
+    #          i0   0   1   2
+    df.index.name, df.columns.name = None, 'columns'
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, size)
+    assert la.axes.names == [None, 'columns']
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, size)), [axis_index, axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # index and columns with name
+    # input dataframe:
+    # ----------------
+    # columns  c0  c1  c2
+    # index
+    # i0        0   1   2
+    # output LArray:
+    # --------------
+    # index\columns  c0  c1  c2
+    #            i0   0   1   2
+    df.index.name, df.columns.name = 'index', 'columns'
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (1, size)
+    assert la.axes.names == ['index', 'columns']
+    assert list(la.axes.labels[0]) == index
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data.reshape((1, size)), [axis_index.rename('index'), axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # 2B) data = vertical vector (N x 1)
+    # ==================================
+    # Dataframe becomes 2D LArray
+    data = data.reshape(size, 1)
+    indexes = ['i{}'.format(i) for i in range(size)]
+    columns = ['c0']
+    axis_index, axis_columns = Axis(indexes), Axis(columns)
+
+    df = pd.DataFrame(data, index=indexes, columns=columns)
+    assert df.index.name is None
+    assert df.columns.name is None
+    assert list(df.index.values) == indexes
+    assert list(df.columns.values) == columns
+
+    # anonymous indexes/columns
+    # input dataframe:
+    # ----------------
+    #     c0
+    # i0   0
+    # i1   1
+    # i2   2
+    # output LArray:
+    # --------------
+    # {0}\{1}  c0
+    #      i0   0
+    #      i1   1
+    #      i2   2
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (size, 1)
+    assert la.axes.names == [None, None]
+    assert list(la.axes.labels[0]) == indexes
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data, [axis_index, axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous columns
+    # input dataframe:
+    # ----------------
+    #        c0
+    # index
+    # i0      0
+    # i1      1
+    # i2      2
+    # output LArray:
+    # --------------
+    # index\{1}  c0
+    #        i0   0
+    #        i1   1
+    #        i2   2
+    df.index.name, df.columns.name = 'index', None
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (size, 1)
+    assert la.axes.names == ['index', None]
+    assert list(la.axes.labels[0]) == indexes
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data, [axis_index.rename('index'), axis_columns])
+    assert_array_equal(la, expected_la)
+
+    # anonymous index
+    # input dataframe:
+    # ----------------
+    # columns  c0
+    # i0        0
+    # i1        1
+    # i2        2
+    # output LArray:
+    # --------------
+    # {0}\columns  c0
+    #          i0   0
+    #          i1   1
+    #          i2   2
+    df.index.name, df.columns.name = None, 'columns'
+    la = from_frame(df)
+    assert la.ndim == 2
+    assert la.shape == (size, 1)
+    assert la.axes.names == [None, 'columns']
+    assert list(la.axes.labels[0]) == indexes
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data, [axis_index, axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # index and columns with name
+    # input dataframe:
+    # ----------------
+    # columns  c0
+    # index
+    # i0        0
+    # i1        1
+    # i2        2
+    # output LArray:
+    # --------------
+    # {0}\columns  c0
+    #          i0   0
+    #          i1   1
+    #          i2   2
+    df.index.name, df.columns.name = 'index', 'columns'
+    assert la.ndim == 2
+    assert la.shape == (size, 1)
+    assert la.axes.names == [None, 'columns']
+    assert list(la.axes.labels[0]) == indexes
+    assert list(la.axes.labels[1]) == columns
+    expected_la = LArray(data, [axis_index, axis_columns.rename('columns')])
+    assert_array_equal(la, expected_la)
+
+    # 3) 3D array
+    # ===========
+
+    # 3A) Dataframe with 2 index columns
+    # ==================================
+    dt = [('age', int), ('sex', 'U1'),
+          ('2007', int), ('2010', int), ('2013', int)]
+    data = np.array([
+        (0, 'F', 3722, 3395, 3347),
+        (0, 'M', 338, 316, 323),
+        (1, 'F', 2878, 2791, 2822),
+        (1, 'M', 1121, 1037, 976),
+        (2, 'F', 4073, 4161, 4429),
+        (2, 'M', 1561, 1463, 1467),
+        (3, 'F', 3507, 3741, 3366),
+        (3, 'M', 2052, 2052, 2118),
+    ], dtype=dt)
+    df = pd.DataFrame(data)
+    df.set_index(['age', 'sex'], inplace=True)
+    df.columns.name = 'time'
+
+    la = from_frame(df)
+    assert la.ndim == 3
+    assert la.shape == (4, 2, 3)
+    assert la.axes.names == ['age', 'sex', 'time']
+    assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+    # 3B) Dataframe with columns.name containing \\
+    # =============================================
+    dt = [('age', int), ('sex\\time', 'U1'),
+          ('2007', int), ('2010', int), ('2013', int)]
+    data = np.array([
+        (0, 'F', 3722, 3395, 3347),
+        (0, 'M', 338, 316, 323),
+        (1, 'F', 2878, 2791, 2822),
+        (1, 'M', 1121, 1037, 976),
+        (2, 'F', 4073, 4161, 4429),
+        (2, 'M', 1561, 1463, 1467),
+        (3, 'F', 3507, 3741, 3366),
+        (3, 'M', 2052, 2052, 2118),
+    ], dtype=dt)
+    df = pd.DataFrame(data)
+    df.set_index(['age', 'sex\\time'], inplace=True)
+
+    la = from_frame(df, unfold_last_axis_name=True)
+    assert la.ndim == 3
+    assert la.shape == (4, 2, 3)
+    assert la.axes.names == ['age', 'sex', 'time']
+    assert_array_equal(la[0, 'F', :], [3722, 3395, 3347])
+
+    # 4) test sort_rows and sort_columns arguments
+    # ============================================
+    age = Axis('age=2,0,1,3')
+    gender = Axis('gender=M,F')
+    time = Axis('time=2016,2015,2017')
+    columns = pd.Index(time.labels, name=time.name)
+
+    # df.index is an Index instance
+    expected = ndtest((gender, time))
+    index = pd.Index(gender.labels, name=gender.name)
+    data = expected.data
+    df = pd.DataFrame(data, index=index, columns=columns)
+
+    expected = expected.sort_axes()
+    res = from_frame(df, sort_rows=True, sort_columns=True)
+    assert_array_equal(res, expected)
+
+    # df.index is a MultiIndex instance
+    expected = ndtest((age, gender, time))
+    index = pd.MultiIndex.from_product(expected.axes[:-1].labels, names=expected.axes[:-1].names)
+    data = expected.data.reshape(len(age) * len(gender), len(time))
+    df = pd.DataFrame(data, index=index, columns=columns)
+
+    res = from_frame(df, sort_rows=True, sort_columns=True)
+    assert_array_equal(res, expected.sort_axes())
+
+    # 5) test fill_value
+    # ==================
+    expected[0, 'F'] = -1
+    df = df.reset_index().drop([3]).set_index(['age', 'gender'])
+    res = from_frame(df, fill_value=-1)
+    assert_array_equal(res, expected)
+
+
+def test_to_csv(tmpdir):
+    arr = io_3d.copy()
+
+    arr.to_csv(tmp_path(tmpdir, 'out.csv'))
+    result = ['a,b\\c,c0,c1,c2\n',
+              '1,b0,0,1,2\n',
+              '1,b1,3,4,5\n']
+    with open(tmp_path(tmpdir, 'out.csv')) as f:
+        assert f.readlines()[:3] == result
+
+    # stacked data (one column containing all the values and another column listing the context of the value)
+    arr.to_csv(tmp_path(tmpdir, 'out.csv'), wide=False)
+    result = ['a,b,c,value\n',
+              '1,b0,c0,0\n',
+              '1,b0,c1,1\n']
+    with open(tmp_path(tmpdir, 'out.csv')) as f:
+        assert f.readlines()[:3] == result
+
+    arr = io_1d.copy()
+    arr.to_csv(tmp_path(tmpdir, 'test_out1d.csv'))
+    result = ['a,a0,a1,a2\n',
+              ',0,1,2\n']
+    with open(tmp_path(tmpdir, 'test_out1d.csv')) as f:
+        assert f.readlines() == result
+
+
+def test_to_excel_xlsxwriter(tmpdir):
+    fpath = tmp_path(tmpdir, 'test_to_excel_xlsxwriter.xlsx')
+
+    # 1D
+    a1 = ndtest(3)
+
+    # fpath/Sheet1/A1
+    a1.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a1)
+
+    # fpath/Sheet1/A1(transposed)
+    a1.to_excel(fpath, transpose=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a1)
+
+    # fpath/Sheet1/A1
+    # stacked data (one column containing all the values and another column listing the context of the value)
+    a1.to_excel(fpath, wide=False, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    stacked_a1 = a1.reshape([a1.a, Axis(['value'])])
+    assert_array_equal(res, stacked_a1)
+
+    # 2D
+    a2 = ndtest((2, 3))
+
+    # fpath/Sheet1/A1
+    a2.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a2)
+
+    # fpath/Sheet1/A10
+    # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
+    # a2.to_excel('fpath', 'Sheet1', 'A10', engine='xlsxwriter')
+    # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=9)
+    # assert_array_equal(res, a2)
+
+    # fpath/other/A1
+    a2.to_excel(fpath, 'other', engine='xlsxwriter')
+    res = read_excel(fpath, 'other', engine='xlrd')
+    assert_array_equal(res, a2)
+
+    # 3D
+    a3 = ndtest((2, 3, 4))
+
+    # fpath/Sheet1/A1
+    # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
+    a3.to_excel(fpath, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+    # a3.to_excel('fpath', overwrite_file=True, engine='openpyxl')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a3)
+
+    # fpath/Sheet1/A20
+    # TODO: implement position (see above)
+    # a3.to_excel('fpath', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+    # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=19)
+    # assert_array_equal(res, a3)
+
+    # fpath/other/A1
+    a3.to_excel(fpath, 'other', engine='xlsxwriter', merge_cells=False)
+    res = read_excel(fpath, 'other', engine='xlrd')
+    assert_array_equal(res, a3)
+
+    # 1D
+    a1 = ndtest(3)
+
+    # fpath/Sheet1/A1
+    a1.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a1)
+
+    # fpath/Sheet1/A1(transposed)
+    a1.to_excel(fpath, transpose=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a1)
+
+    # fpath/Sheet1/A1
+    # stacked data (one column containing all the values and another column listing the context of the value)
+    a1.to_excel(fpath, wide=False, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    stacked_a1 = a1.reshape([a1.a, Axis(['value'])])
+    assert_array_equal(res, stacked_a1)
+
+    # 2D
+    a2 = ndtest((2, 3))
+
+    # fpath/Sheet1/A1
+    a2.to_excel(fpath, overwrite_file=True, engine='xlsxwriter')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a2)
+
+    # fpath/Sheet1/A10
+    # TODO: this is currently not supported (though we would only need to translate A10 to startrow=0 and startcol=0
+    # a2.to_excel(fpath, 'Sheet1', 'A10', engine='xlsxwriter')
+    # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=9)
+    # assert_array_equal(res, a2)
+
+    # fpath/other/A1
+    a2.to_excel(fpath, 'other', engine='xlsxwriter')
+    res = read_excel(fpath, 'other', engine='xlrd')
+    assert_array_equal(res, a2)
+
+    # 3D
+    a3 = ndtest((2, 3, 4))
+
+    # fpath/Sheet1/A1
+    # FIXME: merge_cells=False should be the default (until Pandas is fixed to read its format)
+    a3.to_excel(fpath, overwrite_file=True, engine='xlsxwriter', merge_cells=False)
+    # a3.to_excel('fpath', overwrite_file=True, engine='openpyxl')
+    res = read_excel(fpath, engine='xlrd')
+    assert_array_equal(res, a3)
+
+    # fpath/Sheet1/A20
+    # TODO: implement position (see above)
+    # a3.to_excel('fpath', 'Sheet1', 'A20', engine='xlsxwriter', merge_cells=False)
+    # res = read_excel('fpath', 'Sheet1', engine='xlrd', skiprows=19)
+    # assert_array_equal(res, a3)
+
+    # fpath/other/A1
+    a3.to_excel(fpath, 'other', engine='xlsxwriter', merge_cells=False)
+    res = read_excel(fpath, 'other', engine='xlrd')
+    assert_array_equal(res, a3)
+
+    # passing group as sheet_name
+    a3 = ndtest((4, 3, 4))
+    os.remove(fpath)
+    # single element group
+    for label in a3.a:
+        a3[label].to_excel(fpath, label, engine='xlsxwriter')
+    # unnamed group
+    group = a3.c['c0,c2']
+    a3[group].to_excel(fpath, group, engine='xlsxwriter')
+    # unnamed group + slice
+    group = a3.c['c0::2']
+    a3[group].to_excel(fpath, group, engine='xlsxwriter')
+    # named group
+    group = a3.c['c0,c2'] >> 'even'
+    a3[group].to_excel(fpath, group, engine='xlsxwriter')
+    # group with name containing special characters (replaced by _)
+    group = a3.c['c0,c2'] >> ':name?with*special/\[char]'
+    a3[group].to_excel(fpath, group, engine='xlsxwriter')
+
+
+@pytest.mark.skipif(xw is None, reason="xlwings is not available")
+def test_to_excel_xlwings(tmpdir):
+    fpath = tmp_path(tmpdir, 'test_to_excel_xlwings.xlsx')
+
+    # 1D
+    a1 = ndtest(3)
+
+    # live book/Sheet1/A1
+    # a1.to_excel()
+
+    # fpath/Sheet1/A1 (create a new file if does not exist)
+    if os.path.isfile(fpath):
         os.remove(fpath)
         # single element group
         for label in a3.a:
diff --git a/setup.py b/setup.py
index c565df514..132bc7ab4 100644
--- a/setup.py
+++ b/setup.py
@@ -14,8 +14,8 @@ def readlocal(fname):
 AUTHOR_EMAIL = 'gdementen@gmail.com'
 DESCRIPTION = "N-D labeled arrays in Python"
 LONG_DESCRIPTION = readlocal("README.rst")
-INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1, <0.21']
-TESTS_REQUIRE = ['pytest']
+INSTALL_REQUIRES = ['numpy >= 1.10', 'pandas >= 0.13.1']
+TESTS_REQUIRE = ['pytest', 'pytest-pep8']
 SETUP_REQUIRES = ['pytest-runner']
 
 LICENSE = 'GPLv3'